From 4002a2edd2899251b747188c984c1f9bfde59145 Mon Sep 17 00:00:00 2001
From: Nick McIntyre <nick@mcintyre.io>
Date: Fri, 21 Jan 2022 08:53:48 -0600
Subject: [PATCH] Add dist

---
 .gitignore                 |   1 -
 dist/numero.js             |   2 +
 dist/numero.js.LICENSE.txt | 230 +++++++++++++
 package-lock.json          | 669 ++++++++-----------------------------
 package.json               |   1 -
 5 files changed, 380 insertions(+), 523 deletions(-)
 create mode 100644 dist/numero.js
 create mode 100644 dist/numero.js.LICENSE.txt

diff --git a/.gitignore b/.gitignore
index 8dc6f00..80e5be4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,3 @@
 node_modules
 .DS_Store
-dist
 
diff --git a/dist/numero.js b/dist/numero.js
new file mode 100644
index 0000000..3cd81f1
--- /dev/null
+++ b/dist/numero.js
@@ -0,0 +1,2 @@
+/*! For license information please see numero.js.LICENSE.txt */
+var num;(()=>{var e={328:(e,t)=>{"use strict";function n(e){return new Uint8Array(atob(e).split("").map((function(e){return e.charCodeAt(0)})))}Object.defineProperty(t,"__esModule",{value:!0}),t.stringToUint8array=n,t.stringToArray=function(e){var t=n(e);return new Int16Array(t.buffer)};var r=!1,i=0;function a(){if(r)return r=!1,i;var e=2*Math.random()-1,t=2*Math.random()-1,n=e*e+t*t;if(0===n||n>1)return a();var o=Math.sqrt(-2*Math.log(n)/n);return i=t*o,r=!0,e*o}function o(e,t){return Math.random()*(t-e)+e}function s(e,t){return e+a()*t}function u(e,t){void 0===t&&(t=2);var n=t;function r(e,t){return[e[0]-t[0],e[1]-t[1]]}function i(e,t){return e[0]*t[0]+e[1]*t[1]}function a(e){return e[0]*e[0]+e[1]*e[1]}function o(e,t){return a(r(e,t))}var s,u,c,l,f=e.length,p=[],h=n*n,d=[],m=[];for(d[0]=e[0],s=u=1,l=0;s<f;s++)o(e[s],e[l])<h||(d[u++]=e[s],l=s);for(l<f-1&&(d[u++]=e[f-1]),m[0]=m[u-1]=1,function e(t,n,s,u,c){if(!(u<=s+1)){for(var 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function(e,t,n){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[(0,o.add)(d("a",e,t,n),d("b",e,t,n))];case"AddN":return[(0,o.addN)(d("tensors",e,t,n))];case"FloorMod":case"Mod":return[(0,o.mod)(d("a",e,t,n),d("b",e,t,n))];case"Mul":return[(0,o.mul)(d("a",e,t,n),d("b",e,t,n))];case"RealDiv":case"Div":return[(0,o.div)(d("a",e,t,n),d("b",e,t,n))];case"DivNoNan":return[(0,o.divNoNan)(d("a",e,t,n),d("b",e,t,n))];case"FloorDiv":return[(0,o.floorDiv)(d("a",e,t,n),d("b",e,t,n))];case"Sub":return[(0,o.sub)(d("a",e,t,n),d("b",e,t,n))];case"Minimum":return[(0,o.minimum)(d("a",e,t,n),d("b",e,t,n))];case"Maximum":return[(0,o.maximum)(d("a",e,t,n),d("b",e,t,n))];case"Pow":return[(0,o.pow)(d("a",e,t,n),d("b",e,t,n))];case"SquaredDifference":return[(0,o.squaredDifference)(d("a",e,t,n),d("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"Abs":case"ComplexAbs":return[(0,o.abs)(d("x",e,t,n))];case"Acos":return[(0,o.acos)(d("x",e,t,n))];case"Acosh":return[(0,o.acosh)(d("x",e,t,n))];case"Asin":return[(0,o.asin)(d("x",e,t,n))];case"Asinh":return[(0,o.asinh)(d("x",e,t,n))];case"Atan":return[(0,o.atan)(d("x",e,t,n))];case"Atan2":return[(0,o.atan2)(d("x",e,t,n),d("y",e,t,n))];case"Atanh":return[(0,o.atanh)(d("x",e,t,n))];case"Ceil":return[(0,o.ceil)(d("x",e,t,n))];case"Complex":return[(0,o.complex)(d("real",e,t,n),d("imag",e,t,n))];case"Cos":return[(0,o.cos)(d("x",e,t,n))];case"Cosh":return[(0,o.cosh)(d("x",e,t,n))];case"Elu":return[(0,o.elu)(d("x",e,t,n))];case"Erf":return[(0,o.erf)(d("x",e,t,n))];case"Exp":return[(0,o.exp)(d("x",e,t,n))];case"Expm1":return[(0,o.expm1)(d("x",e,t,n))];case"Floor":return[(0,o.floor)(d("x",e,t,n))];case"Log":return[(0,o.log)(d("x",e,t,n))];case"Log1p":return[(0,o.log1p)(d("x",e,t,n))];case"Imag":return[(0,o.imag)(d("x",e,t,n))];case"Neg":return[(0,o.neg)(d("x",e,t,n))];case"Reciprocal":return[(0,o.reciprocal)(d("x",e,t,n))];case"Real":return[(0,o.real)(d("x",e,t,n))];case"Relu":return[(0,o.relu)(d("x",e,t,n))];case"Round":return[(0,o.round)(d("x",e,t,n))];case"Selu":return[(0,o.selu)(d("x",e,t,n))];case"Sigmoid":return[(0,o.sigmoid)(d("x",e,t,n))];case"Sin":return[(0,o.sin)(d("x",e,t,n))];case"Sign":return[(0,o.sign)(d("x",e,t,n))];case"Sinh":return[(0,o.sinh)(d("x",e,t,n))];case"Softplus":return[(0,o.softplus)(d("x",e,t,n))];case"Sqrt":return[(0,o.sqrt)(d("x",e,t,n))];case"Square":return[(0,o.square)(d("x",e,t,n))];case"Tanh":return[(0,o.tanh)(d("x",e,t,n))];case"Tan":return[(0,o.tan)(d("x",e,t,n))];case"Relu6":case"ClipByValue":return[(0,o.clipByValue)(d("x",e,t,n),d("clipValueMin",e,t,n),d("clipValueMax",e,t,n))];case"Rsqrt":return[(0,o.rsqrt)(m(e.inputNames[0],t,n))];case"Prod":return[(0,o.prod)(d("x",e,t,n),d("axes",e,t,n))];case"LeakyRelu":return[(0,o.leakyRelu)(d("x",e,t,n),d("alpha",e,t,n))];case"Prelu":return[(0,o.prelu)(d("x",e,t,n),d("alpha",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"control":return function(e,t,n){return u(void 0,void 0,void 0,(function(){var r,i,a,s,u,l,f,p,h,g,v,y,b,x,w,E,C,S,N,A,k,D,_,M,T,O,I,F,R,B,z,P,L,j,U;return c(this,(function(c){switch(c.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[d("pred",e,t,n).clone()]];case 2:return r=d("pred",e,t,n),i=d("data",e,t,n),[4,r.data()];case 3:return[2,c.sent()[0]?[void 0,i.clone()]:[i.clone(),void 0]];case 4:return[2,(a=e.inputNames.find((function(e){return void 0!==m(e,t,n)})))?[m(a,t,n).clone()]:void 0];case 5:return s=d("frameName",e,t,n),u=d("tensor",e,t,n),n.enterFrame(s),[2,[u.clone()]];case 6:return l=d("tensor",e,t,n),n.exitFrame(),[2,[l.clone()]];case 7:return f=d("tensor",e,t,n),n.nextIteration(),[2,[f.clone()]];case 8:return p=d("size",e,t,n),h=d("dtype",e,t,n),g=d("elementShape",e,t,n),v=d("dynamicSize",e,t,n),y=d("clearAfterRead",e,t,n),b=d("identicalElementShapes",e,t,n),x=d("name",e,t,n),w=new J(x,h,p,g,b,v,y),n.addTensorArray(w),[2,[(0,o.scalar)(w.id),(0,o.scalar)(1)]];case 9:return E=d("tensorArrayId",e,t,n),C=d("index",e,t,n),S=d("tensor",e,t,n),n.getTensorArray(E).write(C,S),[2,[(0,o.scalar)(1)]];case 10:return N=d("tensorArrayId",e,t,n),A=d("index",e,t,n),[2,[n.getTensorArray(N).read(A)]];case 11:return k=d("tensorArrayId",e,t,n),D=d("indices",e,t,n),_=d("dtype",e,t,n),[2,[n.getTensorArray(k).gather(D,_)]];case 12:return M=d("tensorArrayId",e,t,n),T=d("indices",e,t,n),O=d("tensor",e,t,n),n.getTensorArray(M).scatter(T,O),[2,[(0,o.scalar)(1)]];case 13:return I=d("tensorArrayId",e,t,n),F=n.getTensorArray(I),R=d("dtype",e,t,n),[2,[F.concat(R)]];case 14:return B=d("tensorArrayId",e,t,n),z=d("tensor",e,t,n),P=d("lengths",e,t,n),n.getTensorArray(B).split(P,z),[2,[(0,o.scalar)(1)]];case 15:return L=d("tensorArrayId",e,t,n),j=n.getTensorArray(L),[2,[(0,o.scalar)(j.size(),"int32")]];case 16:return U=d("tensorArrayId",e,t,n),n.getTensorArray(U).clearAndClose(),[2,[(0,o.scalar)(0)]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}}))}))}(e,t,n);case"convolution":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"Conv1D":var r=d("stride",e,t,n),i=d("pad",e,t,n),a=d("dataFormat",e,t,n).toUpperCase(),s=d("dilation",e,t,n);return[(0,o.conv1d)(d("x",e,t,n),d("filter",e,t,n),r,i,a,s)];case"Conv2D":r=d("strides",e,t,n),i=d("pad",e,t,n),a=d("dataFormat",e,t,n).toUpperCase();var u=d("dilations",e,t,n);return[(0,o.conv2d)(d("x",e,t,n),d("filter",e,t,n),[r[1],r[2]],i,a,[u[1],u[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var c=d("fusedOps",e,t,n),l=c[0],f=c[1],p="biasadd"===l,h="prelu"===f,m="fusedbatchnorm"===l,g=d("numArgs",e,t,n);if(p){if(h&&2!==g)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!h&&1!==g)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(m)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");r=d("strides",e,t,n),i=d("pad",e,t,n),a=d("dataFormat",e,t,n).toUpperCase(),u=d("dilations",e,t,n);var v=d("args",e,t,n),y=v[0],b=v[1];return[("_FusedConv2D"===e.op?o.fused.conv2d:o.fused.depthwiseConv2d)({x:d("x",e,t,n),filter:d("filter",e,t,n),strides:[r[1],r[2]],pad:i,dataFormat:a,dilations:[u[1],u[2]],bias:y,activation:f,preluActivationWeights:b})];case"Conv2DBackpropInput":case"Conv2dTranspose":var x=d("outputShape",e,t,n);return r=d("strides",e,t,n),i=d("pad",e,t,n),[(0,o.conv2dTranspose)(d("x",e,t,n),d("filter",e,t,n),x,[r[1],r[2]],i)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return r=d("strides",e,t,n),i=d("pad",e,t,n),u=d("dilations",e,t,n),a=d("dataFormat",e,t,n).toUpperCase(),[(0,o.depthwiseConv2d)(d("input",e,t,n),d("filter",e,t,n),[r[1],r[2]],i,a,[u[1],u[2]])];case"Conv3D":return r=d("strides",e,t,n),i=d("pad",e,t,n),a=d("dataFormat",e,t,n).toUpperCase(),u=d("dilations",e,t,n),[(0,o.conv3d)(d("x",e,t,n),d("filter",e,t,n),[r[1],r[2],r[3]],i,a,[u[1],u[2],u[3]])];case"AvgPool":r=d("strides",e,t,n),i=d("pad",e,t,n);var w=d("kernelSize",e,t,n);return[(0,o.avgPool)(d("x",e,t,n),[w[1],w[2]],[r[1],r[2]],i)];case"MaxPool":return r=d("strides",e,t,n),i=d("pad",e,t,n),w=d("kernelSize",e,t,n),[(0,o.maxPool)(d("x",e,t,n),[w[1],w[2]],[r[1],r[2]],i)];case"MaxPoolWithArgmax":r=d("strides",e,t,n),i=d("pad",e,t,n),w=d("kernelSize",e,t,n);var E=d("includeBatchInIndex",e,t,n),C=(0,o.maxPoolWithArgmax)(d("x",e,t,n),[w[1],w[2]],[r[1],r[2]],i,E);return[C.result,C.indexes];case"AvgPool3D":return r=d("strides",e,t,n),i=d("pad",e,t,n),w=d("kernelSize",e,t,n),[(0,o.avgPool3d)(d("x",e,t,n),[w[1],w[2],w[3]],[r[1],r[2],r[3]],i)];case"MaxPool3D":return r=d("strides",e,t,n),i=d("pad",e,t,n),w=d("kernelSize",e,t,n),[(0,o.maxPool3d)(d("x",e,t,n),[w[1],w[2],w[3]],[r[1],r[2],r[3]],i)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"Fill":var r=d("shape",e,t,n),i=d("dtype",e,t,n),a=d("value",e,t,n);return[(0,o.fill)(r,a,i)];case"LinSpace":var s=d("start",e,t,n),u=d("stop",e,t,n),c=d("num",e,t,n);return[(0,o.linspace)(s,u,c)];case"Multinomial":var l=d("logits",e,t,n),f=d("numSamples",e,t,n),p=d("seed",e,t,n);return[(0,o.multinomial)(l,f,p)];case"OneHot":var h=d("indices",e,t,n),m=d("depth",e,t,n),g=d("onValue",e,t,n),v=d("offValue",e,t,n);return[(0,o.oneHot)(h,m,g,v)];case"Ones":return[(0,o.ones)(d("shape",e,t,n),d("dtype",e,t,n))];case"OnesLike":return[(0,o.onesLike)(d("x",e,t,n))];case"RandomUniform":return[(0,o.randomUniform)(d("shape",e,t,n),d("minval",e,t,n),d("maxval",e,t,n),d("dtype",e,t,n))];case"Range":s=d("start",e,t,n);var y=d("stop",e,t,n),b=d("step",e,t,n);return[(0,o.range)(s,y,b,d("dtype",e,t,n))];case"TruncatedNormal":r=d("shape",e,t,n);var x=d("mean",e,t,n),w=d("stdDev",e,t,n);return p=d("seed",e,t,n),[(0,o.truncatedNormal)(r,x,w,d("dtype",e,t,n),p)];case"Zeros":return[(0,o.zeros)(d("shape",e,t,n),d("dtype",e,t,n))];case"ZerosLike":return[(0,o.zerosLike)(d("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return function(e,t,n){return u(void 0,void 0,void 0,(function(){var r,i,a,s,u,l,f,p;return c(this,(function(c){switch(c.label){case 0:switch(e.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return r=d("boxes",e,t,n),i=d("scores",e,t,n),a=d("maxOutputSize",e,t,n),s=d("iouThreshold",e,t,n),u=d("scoreThreshold",e,t,n),"NonMaxSuppressionV5"!==e.op?[3,3]:(l=d("softNmsSigma",e,t,n),[4,o.image.nonMaxSuppressionWithScoreAsync(r,i,a,s,u,l)]);case 2:return[2,[(p=c.sent()).selectedIndices,p.selectedScores]];case 3:return[4,o.image.nonMaxSuppressionAsync(r,i,a,s,u)];case 4:return[2,[c.sent()]];case 5:return f=d("condition",e,t,n).asType("bool"),[4,(0,o.whereAsync)(f)];case 6:return p=[c.sent()],f.dispose(),[2,p];case 7:return[2,(0,o.setdiff1dAsync)(d("x",e,t,n),d("y",e,t,n))];case 8:throw TypeError("Node type "+e.op+" is not implemented")}}))}))}(e,t,n);case"evaluation":return(0,o.tidy)((function(){return function(e,t,n){if("TopKV2"===e.op){var r=d("x",e,t,n),i=d("k",e,t,n),a=d("sorted",e,t,n),s=(0,o.topk)(r,i,a);return[s.values,s.indices]}throw TypeError("Node type "+e.op+" is not implemented")}(e,t,n)}));case"image":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"ResizeBilinear":var r=d("images",e,t,n),i=d("size",e,t,n),a=d("alignCorners",e,t,n);return[o.image.resizeBilinear(r,[i[0],i[1]],a)];case"ResizeNearestNeighbor":return r=d("images",e,t,n),i=d("size",e,t,n),a=d("alignCorners",e,t,n),[o.image.resizeNearestNeighbor(r,[i[0],i[1]],a)];case"CropAndResize":var s=d("image",e,t,n),u=d("boxes",e,t,n),c=d("boxInd",e,t,n),l=d("cropSize",e,t,n),f=d("method",e,t,n),p=d("extrapolationValue",e,t,n);return[o.image.cropAndResize(s,u,c,l,f,p)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var r=d("default",e,t,n);return[m(e.name,t,n)||r];case"Placeholder":return[m(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[d("x",e,t,n).clone()];case"IdentityN":return d("x",e,t,n).map((function(e){return e.clone()}));case"Shape":return[(0,o.tensor1d)(d("x",e,t,n).shape,"int32")];case"ShapeN":return d("x",e,t,n).map((function(e){return(0,o.tensor1d)(e.shape)}));case"Size":return[(0,o.scalar)(d("x",e,t,n).size,"int32")];case"Rank":return[(0,o.scalar)(d("x",e,t,n).rank,"int32")];case"NoOp":return[(0,o.scalar)(1)];case"Print":var i=d("x",e,t,n),a=d("data",e,t,n),s=d("message",e,t,n),u=d("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(s);for(var c=0;c<a.length;c++)console.log(Array.prototype.slice.call(a[c].dataSync()).slice(0,u));return[i];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"logical":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"Equal":return[(0,o.equal)(d("a",e,t,n),d("b",e,t,n))];case"NotEqual":return[(0,o.notEqual)(d("a",e,t,n),d("b",e,t,n))];case"Greater":return[(0,o.greater)(d("a",e,t,n),d("b",e,t,n))];case"GreaterEqual":return[(0,o.greaterEqual)(d("a",e,t,n),d("b",e,t,n))];case"Less":return[(0,o.less)(d("a",e,t,n),d("b",e,t,n))];case"LessEqual":return[(0,o.lessEqual)(d("a",e,t,n),d("b",e,t,n))];case"LogicalAnd":return[(0,o.logicalAnd)(d("a",e,t,n),d("b",e,t,n))];case"LogicalNot":return[(0,o.logicalNot)(d("a",e,t,n))];case"LogicalOr":return[(0,o.logicalOr)(d("a",e,t,n),d("b",e,t,n))];case"Select":case"SelectV2":return[(0,o.where)(d("condition",e,t,n),d("a",e,t,n),d("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"matrices":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[(0,o.matMul)(d("a",e,t,n),d("b",e,t,n),d("transposeA",e,t,n),d("transposeB",e,t,n))];case"Transpose":return[(0,o.transpose)(d("x",e,t,n),d("perm",e,t,n))];case"_FusedMatMul":var r=d("fusedOps",e,t,n),i=r[0],a=r[1],s="biasadd"===i,u="prelu"===a,c=d("numArgs",e,t,n);if(s){if(u&&2!==c)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&1!==c)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var l=d("args",e,t,n),f=l[0],p=l[1];return[o.fused.matMul({a:d("a",e,t,n),b:d("b",e,t,n),transposeA:d("transposeA",e,t,n),transposeB:d("transposeB",e,t,n),bias:f,activation:a,preluActivationWeights:p})];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[(0,o.batchNorm)(d("x",e,t,n),d("mean",e,t,n),d("variance",e,t,n),d("offset",e,t,n),d("scale",e,t,n),d("epsilon",e,t,n))];case"LRN":return[(0,o.localResponseNormalization)(d("x",e,t,n),d("radius",e,t,n),d("bias",e,t,n),d("alpha",e,t,n),d("beta",e,t,n))];case"Softmax":return[(0,o.softmax)(d("x",e,t,n))];case"LogSoftmax":return[(0,o.logSoftmax)(d("x",e,t,n))];case"SparseToDense":return[(0,o.sparseToDense)(d("sparseIndices",e,t,n),d("outputShape",e,t,n),d("sparseValues",e,t,n),d("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"Max":var r=d("axis",e,t,n),i=d("keepDims",e,t,n);return[(0,o.max)(d("x",e,t,n),r,i)];case"Mean":return r=d("axis",e,t,n),i=d("keepDims",e,t,n),[(0,o.mean)(d("x",e,t,n),r,i)];case"Min":return r=d("axis",e,t,n),i=d("keepDims",e,t,n),[(0,o.min)(d("x",e,t,n),r,i)];case"Sum":return r=d("axis",e,t,n),i=d("keepDims",e,t,n),[(0,o.sum)(d("x",e,t,n),r,i)];case"All":return r=d("axis",e,t,n),i=d("keepDims",e,t,n),[(0,o.all)(d("x",e,t,n),r,i)];case"Any":return r=d("axis",e,t,n),i=d("keepDims",e,t,n),[(0,o.any)(d("x",e,t,n),r,i)];case"ArgMax":return r=d("axis",e,t,n),[(0,o.argMax)(d("x",e,t,n),r)];case"ArgMin":return r=d("axis",e,t,n),[(0,o.argMin)(d("x",e,t,n),r)];case"Prod":return r=d("axis",e,t,n),i=d("keepDims",e,t,n),[(0,o.prod)(d("x",e,t,n),r,i)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"ConcatV2":case"Concat":var r=d("n",e,t,n),i=d("axis",e,t,n),a=d("tensors",e,t,n);return a=a.slice(0,r),[(0,o.concat)(a,i)];case"GatherV2":case"Gather":i=d("axis",e,t,n);var s=d("x",e,t,n),u=d("indices",e,t,n);return[(0,o.gather)(s,u.asType("int32"),i)];case"ReverseV2":case"Reverse":return i=d("axis",e,t,n),s=d("x",e,t,n),[(0,o.reverse)(s,i)];case"Slice":var c=d("begin",e,t,n),l=d("size",e,t,n);return[(0,o.slice)(d("x",e,t,n),c,l)];case"StridedSlice":c=d("begin",e,t,n);var f=d("end",e,t,n),p=d("strides",e,t,n),h=d("beginMask",e,t,n),m=d("endMask",e,t,n),g=d("ellipsisMask",e,t,n),v=d("newAxisMask",e,t,n),y=d("shrinkAxisMask",e,t,n),b=d("x",e,t,n);if(1===c.length&&b.shape.length>1)for(var x=1;x<b.shape.length;x++)c.push(0),f.push(b.shape[x]),p.push(p[0]);return[(0,o.stridedSlice)(b,c,f,p,h,m,g,v,y)];case"Pack":return(0,o.tidy)((function(){var r=d("axis",e,t,n),i=d("tensors",e,t,n),a=i[0].shape,s=i[0].squeeze().shape,u=i.map((function(e){var t=o.util.arraysEqual(e.shape,a);if(!t&&!o.util.arraysEqual(e.squeeze().shape,s))throw new Error("the input tensors shape does not match");return t?e:e.reshape(a)}));return[(0,o.stack)(u,r)]}));case"Unpack":return(0,o.tidy)((function(){var r=d("axis",e,t,n),i=d("tensor",e,t,n);return(0,o.unstack)(i,r)}));case"Tile":var w=d("reps",e,t,n);return[(0,o.tile)(d("x",e,t,n),w)];case"Split":case"SplitV":i=d("axis",e,t,n);var E=d("numOrSizeSplits",e,t,n);return(0,o.split)(d("x",e,t,n),E,i);case"ScatterNd":u=d("indices",e,t,n);var C=d("values",e,t,n),S=d("shape",e,t,n);return[(0,o.scatterND)(u,C,S)];case"GatherNd":var N=d("x",e,t,n);return u=d("indices",e,t,n),[(0,o.gatherND)(N,u)];case"SparseToDense":u=d("sparseIndices",e,t,n),S=d("outputShape",e,t,n);var A=d("sparseValues",e,t,n),k=d("defaultValue",e,t,n);return[(0,o.sparseToDense)(u,A,S,A.dtype===k.dtype?k:k.asType(A.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"spectral":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"FFT":return[(0,o.fft)(d("x",e,t,n))];case"IFFT":return[(0,o.ifft)(d("x",e,t,n))];case"RFFT":return[(0,o.rfft)(d("x",e,t,n))];case"IRFFT":return[(0,o.irfft)(d("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return(0,o.tidy)((function(){return function(e,t,n){switch(e.op){case"Cast":return[(0,o.cast)(d("x",e,t,n),d("dtype",e,t,n))];case"ExpandDims":var r=d("axis",e,t,n);return[(0,o.expandDims)(d("x",e,t,n),r)];case"Squeeze":return r=d("axis",e,t,n),[(0,o.squeeze)(d("x",e,t,n),r)];case"Reshape":return[(0,o.reshape)(d("x",e,t,n),d("shape",e,t,n))];case"PadV2":case"Pad":return[(0,o.pad)(d("x",e,t,n),b(d("padding",e,t,n),2),d("constantValue",e,t,n))];case"SpaceToBatchND":var i=d("blockShape",e,t,n),a=b(d("paddings",e,t,n),2);return[(0,o.spaceToBatchND)(d("x",e,t,n),i,a)];case"BatchToSpaceND":i=d("blockShape",e,t,n);var s=b(d("crops",e,t,n),2);return[(0,o.batchToSpaceND)(d("x",e,t,n),i,s)];case"DepthToSpace":var u=d("blockSize",e,t,n),c=d("dataFormat",e,t,n).toUpperCase();return[(0,o.depthToSpace)(d("x",e,t,n),u,c)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"custom":var r=p(e.op);if(r&&r.customExecutor)return r.customExecutor(new Y(e,t,n));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return r instanceof Promise?r.then((function(e){return[].concat(e)})):[].concat(r)}var Q=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId})).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function ee(e,t,n){for(var r=new Set,i=[],a=null,o=null,s=new Set,u=Object.keys(e).map((function(e){return y(e)[0]})),c=t.slice();c.length>0;){var l=c.pop();(re(l)||ie(l))&&null==a&&(o=(a=l).children.map((function(e){return e.name})).filter((function(e){return r.has(e)}))),r.add(l.name),null==n[l.name]&&-1===u.indexOf(l.name)&&(0!==l.inputs.length?l.inputs.forEach((function(e){s.has(e.name)||(s.add(e.name),c.push(e))})):i.push(l.name))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:i,dynamicNode:a,syncInputs:o}}var te=["Switch","Merge","Enter","Exit","NextIteration"],ne=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function re(e){return te.indexOf(e.op)>=0}function ie(e){return ne.indexOf(e.op)>=0}var ae=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=e.outputs,this._inputs=e.inputs,this._signature=e.signature}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map((function(e){return e.signatureKey||e.name}))},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var n=ee(e,t,this.weightMap),r=n.missingInputs,i=n.dynamicNode,a=n.syncInputs;if(null!=i)throw new Error("This execution contains the node '"+i.name+"', which has the dynamic op '"+i.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+a+"]");if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(e,t,n){var r=n.usedNodes,i=n.inputs,a=[];Object.keys(i).map((function(e){return y(e)[0]})).map((function(t){return e.nodes[t]})).forEach((function(e){r.has(e.name)&&a.push(e)})),e.weights.forEach((function(e){r.has(e.name)&&a.push(e)}));for(var o=new Set,s=[];a.length>0;){var u=a.pop();o.add(u.name),t[u.name]||s.push(u),u.children.forEach((function(e){!o.has(e.name)&&r.has(e.name)&&e.inputs.every((function(e){return o.has(e.name)}))&&a.push(e)}))}return s}(this.graph,this.weightMap,n)},e.prototype.execute=function(e,t){var n=this;e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var i=r.map((function(e){return n.graph.nodes[y(e)[0]]})),a=t.map((function(e){return n.graph.nodes[y(e)[0]]})),u=this.getCompilationKey(i,a),c=this.compiledMap.get(u);null==c&&(c=this.compile(e,a),this.compiledMap.set(u,c));var l={};return(0,o.tidy)((function(){var r=new Q(n._weightMap,l),i=s({},n.weightMap);Object.keys(e).forEach((function(t){var n=y(t),r=n[0],a=[];a[n[1]]=e[t],i[r]=a}));for(var a=n.getFrozenTensorIds(i),o={},u=0;u<c.length;u++){var f=c[u];if(!i[f.name]){var p=Z(f,i,r);if(p instanceof Promise)throw new Error("The execution of the op '"+f.op+"' returned a promise. Please use model.executeAsync() instead.");i[f.name]=p,n.checkTensorForDisposal(f.name,f,i,r,a,t,o)}}return t.map((function(e){return m(e,i,r)}))}))},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,n,r,i,a,o){"control"!==t.category&&-1===a.indexOf(e)&&(n[e].forEach((function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)})),t.inputs.forEach((function(e){if("control"!==e.category){var t=function(e,t,n){return t[v(e,n.currentContextId)]}(e.name,n,r);null!=t&&t.forEach((function(e){if(e&&!i.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}}))}})))},e.prototype.executeAsync=function(e,t){return u(this,void 0,void 0,(function(){var n,r,i,a,o,s,u=this;return c(this,(function(c){switch(c.label){case 0:return e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t),n={},r=new Q(this._weightMap,n),[4,this.executeWithControlFlow(e,r,t)];case 1:return i=c.sent(),a=t.map((function(e){return m(e,i,r)})),o=new Set(a.map((function(e){return e.id}))),s=new Set(Object.keys(e).map((function(t){return e[t].id}))),Object.keys(i).forEach((function(e){i[e].forEach((function(e){!e||e.isDisposed||o.has(e.id)||s.has(e.id)||-1!==u.weightIds.indexOf(e.id)||e.dispose()}))})),[2,a]}}))}))},e.prototype.executeWithControlFlow=function(e,t,n){return u(this,void 0,void 0,(function(){var r,i,a,o,u,l,f,p,h,d,g,v,b,x,w,E,C=this;return c(this,(function(c){switch(c.label){case 0:r=Object.keys(e),i=r.map((function(e){return C.graph.nodes[y(e)[0]]})),a=n.map((function(e){return C.graph.nodes[y(e)[0]]})),o=ee(e,a,this.weightMap),u=o.usedNodes,l=o.missingInputs,f=o.dynamicNode,p=o.syncInputs,h=i.concat(this.graph.weights).map((function(e){return{node:e,contexts:t.currentContext}})),d=s({},this.weightMap),Object.keys(e).forEach((function(t){var n=y(t),r=n[0],i=[];i[n[1]]=e[t],d[r]=i})),g={},v=this.getFrozenTensorIds(d),b={},c.label=1;case 1:return h.length>0?(x=this.processStack(i,h,t,d,b,v,n,g,u),[4,Promise.all(x)]):[3,3];case 2:return c.sent(),[3,1];case 3:if(null==f&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(w=a.filter((function(e){return!re(e)&&!m(e.name,d,t)})).map((function(e){return e.name}))).length>0)throw E="",null!=f&&(E="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+p+"]"),new Error("Cannot compute the outputs ["+w+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+l+"]. "+E);return[2,d]}}))}))},e.prototype.processStack=function(e,t,n,r,i,a,o,s,u){for(var c=this,l=[],f=function(){var f=t.pop();n.currentContext=f.contexts;var h="";if("Enter"===f.node.op&&d("isConstant",f.node,r,n)&&(h=g(f.node.name,n)[0]),-1===e.indexOf(f.node)){var m=Z(f.node,r,n);h||(h=g(f.node.name,n)[0]);var v=n.currentContext;m instanceof Promise?l.push(m.then((function(e){return r[h]=e,n.currentContext=v,c.checkTensorForDisposal(h,f.node,r,n,a,o,s),c.processChildNodes(f.node,t,n,r,i,u),e}))):(r[h]=m,p.checkTensorForDisposal(h,f.node,r,n,a,o,s),p.processChildNodes(f.node,t,n,r,i,u))}else p.processChildNodes(f.node,t,n,r,i,u)},p=this;t.length>0;)f();return l},e.prototype.processChildNodes=function(e,t,n,r,i,a){e.children.forEach((function(e){var o=g(e.name,n)[0];!i[o]&&a.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!m(e,r,n)}))&&(i[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!m(e,r,n)}))&&(i[o]=!0,t.push({contexts:n.currentContext,node:e})))}))},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))},e.prototype.checkInputShapeAndType=function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],i=y(n)[0],a=t.graph.nodes[i];if(a.attrParams.shape&&a.attrParams.shape.value){var s=a.attrParams.shape.value,u=s.length===r.shape.length&&r.shape.every((function(e,t){return-1===s[t]||s[t]===e}));o.util.assert(u,(function(){return"The shape of dict['"+a.name+"'] provided in model.execute(dict) must be ["+s+"], but was ["+r.shape+"]"}))}a.attrParams.dtype&&a.attrParams.dtype.value&&o.util.assert(r.dtype===a.attrParams.dtype.value,(function(){return"The dtype of dict['"+a.name+"'] provided in model.execute(dict) must be "+a.attrParams.dtype.value+", but was "+r.dtype}))}))},e.prototype.mapInputs=function(e){var t={};for(var n in e)null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[n]?t[this._signature.inputs[n].name]=e[n]:t[n]=e[n];return t},e.prototype.checkInputs=function(e){var t=this,n=Object.keys(e).filter((function(e){var n=y(e)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+n+"] that are not part of graph")},e.prototype.mapOutputs=function(e){var t=this;return e.map((function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e}),{})},e.prototype.checkOutputs=function(e){var t=this;e.forEach((function(e){var n=y(e)[0];if(!t.graph.nodes[n])throw new Error("The output '"+e+"' is not found in the graph")}))},e}(),oe=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={})}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=o.io.browserHTTPRequest(e,this.loadOptions);else{var t=o.io.getLoadHandlers(e,this.loadOptions.onProgress);if(0===t.length)t.push(o.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},e.prototype.load=function(){return u(this,void 0,void 0,(function(){var e,t,n,r;return c(this,(function(i){switch(i.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return e=this,[4,this.handler.load()];case 1:return e.artifacts=i.sent(),t=this.artifacts.modelTopology,n={},null!=this.artifacts.userDefinedMetadata&&(n=this.artifacts.userDefinedMetadata.signature),this.version=t.versions.producer+"."+t.versions.minConsumer,r=o.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs),this.executor=new ae(B.Instance.transformGraph(t,n)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),[2,!0]}}))}))},e.prototype.save=function(e,t){return u(this,void 0,void 0,(function(){var t;return c(this,(function(n){if("string"==typeof e){if(0===(t=o.io.getSaveHandlers(e)).length)throw new Error("Cannot find any save handlers for URL '"+e+"'");if(t.length>1)throw new Error("Found more than one ("+t.length+") save handlers for URL '"+e+"'");e=t[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]}))}))},e.prototype.predict=function(e,t){return this.execute(e,this.outputNodes)},e.prototype.normalizeInputs=function(e){if(!(e instanceof o.Tensor||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+e.length+" input tensors.");return this.inputNodes.reduce((function(t,n,r){return t[n]=e[r],t}),{})},e.prototype.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},e.prototype.execute=function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]},e.prototype.executeAsync=function(e,t){return u(this,void 0,void 0,(function(){var n;return c(this,(function(r){switch(r.label){case 0:return e=this.normalizeInputs(e),t=this.normalizeOutputs(t),[4,this.executor.executeAsync(e,t)];case 1:return[2,(n=r.sent()).length>1?n:n[0]]}}))}))},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function se(e,t){return void 0===t&&(t={}),u(this,void 0,void 0,(function(){var n;return c(this,(function(r){switch(r.label){case 0:if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e+="model.json?tfjs-format=file"),[4,(n=new oe(e,t)).load()];case 1:return r.sent(),[2,n]}}))}))}var ue="1.7.4"},8333:(e,t,n)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0});var r=n(2127);t.whereImpl=function(e,t){for(var n=[],i=0;i<t.length;i++)t[i]&&n.push(i);var a=r.buffer(e,"int32"),o=r.buffer([n.length,e.length],"int32");for(i=0;i<n.length;i++){var s=a.indexToLoc(n[i]),u=i*e.length;o.values.set(s,u)}return o.toTensor()}},3926:function(e,t,n){"use strict";var r=this&&this.__awaiter||function(e,t,n,r){return new(n||(n=Promise))((function(i,a){function o(e){try{u(r.next(e))}catch(e){a(e)}}function s(e){try{u(r.throw(e))}catch(e){a(e)}}function u(e){e.done?i(e.value):new n((function(t){t(e.value)})).then(o,s)}u((r=r.apply(e,t||[])).next())}))},i=this&&this.__generator||function(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!((i=(i=o.trys).length>0&&i[i.length-1])||6!==a[0]&&2!==a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}};Object.defineProperty(t,"__esModule",{value:!0});var a,o=n(2885),s=n(6151),u=n(2368),c=n(223),l=n(3327),f=n(747),p=n(9155),h=n(9155),d=function(){function e(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),m=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new d}return e.prototype.ready=function(){return r(this,void 0,void 0,(function(){var e,t,n;return i(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];e=this.getSortedBackends(),t=0,r.label=1;case 1:return t<e.length?(n=e[t],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return t++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(e.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '"+t+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance},enumerable:!0,configurable:!0}),e.prototype.backendNames=function(){return Object.keys(this.registryFactory)},e.prototype.findBackend=function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]},e.prototype.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},e.prototype.registerBackend=function(e,t,n){return void 0===n&&(n=1),e in this.registryFactory?(console.warn(e+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},e.prototype.setBackend=function(e){return r(this,void 0,void 0,(function(){var t,n,r;return i(this,(function(i){switch(i.label){case 0:if(null==this.registryFactory[e])throw new Error("Backend name '"+e+"' not found in registry");return this.backendName=e,null!=this.registry[e]?[3,4]:(this.backendInstance=null,t=this.initializeBackend(e),n=t.success,t.asyncInit?[4,n]:[3,2]);case 1:return r=i.sent(),[3,3];case 2:r=n,i.label=3;case 3:if(!r)return[2,!1];i.label=4;case 4:return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new u.Profiler(this.backendInstance),[2,!0]}}))}))},e.prototype.setupRegisteredKernels=function(){var e=this;s.getKernelsForBackend(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},e.prototype.disposeRegisteredKernels=function(e){var t=this;s.getKernelsForBackend(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))},e.prototype.initializeBackend=function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var i=++this.pendingBackendInitId,a=r.then((function(n){return!(i<t.pendingBackendInitId||(t.registry[e]=n,t.pendingBackendInit=null,0))})).catch((function(n){return i<t.pendingBackendInitId||(t.pendingBackendInit=null,console.warn("Initialization of backend "+e+" failed"),console.warn(n.stack||n.message)),!1}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[e]=r,{success:!0,asyncInit:!1}}catch(t){return console.warn("Initialization of backend "+e+" failed"),console.warn(t.stack||t.message),{success:!1,asyncInit:!1}}},e.prototype.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error(e+" backend not found in registry");this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},e.prototype.getSortedBackends=function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))},e.prototype.initializeBackendsAndReturnBest=function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),i=r.success,a=r.asyncInit;if(a||i)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},e.prototype.moveData=function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,i=this.readSync(t);r.disposeData(t),n.backend=e,e.move(t,i,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},e.prototype.tidy=function(e,t){var n,r=this,i=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=e}return this.scopedRun((function(){return r.startScope(i)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},e.prototype.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},e.prototype.nextTensorId=function(){return e.nextTensorId++},e.prototype.nextVariableId=function(){return e.nextVariableId++},e.prototype.clone=function(e){var t=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){return e.toFloat()}}}),[],{}),t},e.prototype.runKernel=function(e,t,n,r,i){return this.runKernelFunc(null,t,null,e,n,r,i)},e.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},e.prototype.checkKernelForMemLeak=function(e,t,n){var r=this.backend.numDataIds(),i=0;n.forEach((function(e){i+="complex64"===e.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-i-a;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+e+"'")},e.prototype.runKernelFunc=function(e,t,n,r,i,a,o){var u,c=this,l=[],f=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var p,h=this.state.numBytes,d=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var m,g=s.getKernel(r,this.backendName);if(null!=g)p=function(){var e=c.backend.numDataIds();m=g.kernelFunc({inputs:t,attrs:i,backend:c.backend});var n=Array.isArray(m)?m:[m];c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(r,e,n);var s=n.map((function(e){var t=e.dataId,n=e.shape,r=e.dtype;return c.makeTensorFromDataId(t,n,r)}));if(f){var u=c.getTensorsForGradient(r,t,s);if(null==u){null==o&&(o=[]);var p=s.filter((function(e,t){return o[t]}));u=(a||[]).slice().concat(p)}l=c.saveTensorsForBackwardMode(u)}return s};else{var v=function(e){f&&(l=e.map((function(e){return c.keep(c.clone(e))})))};p=function(){var t=c.backend.numDataIds();m=c.tidy((function(){return e(c.backend,v)}));var n=Array.isArray(m)?m:[m];return c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(r,t,n),n}}return this.scopedRun((function(){return c.state.kernelDepth++}),(function(){return c.state.kernelDepth--}),(function(){u=c.ENV.getBool("DEBUG")?c.profiler.profileKernel(r,t,(function(){return p()})):p()})),f&&this.addTapeNode(r,t,u,n,l,i),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-h,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-d,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(t).map((function(e){return t[e].shape})),outputShapes:u.map((function(e){return e.shape}))}),Array.isArray(m)?u:u[0]},e.prototype.saveTensorsForBackwardMode=function(e){var t=this;return e.map((function(e){return t.keep(t.clone(e))}))},e.prototype.getTensorsForGradient=function(e,t,n){var r=s.getGradient(e);if(null!=r){var i=r.inputsToSave||[],a=r.outputsToSave||[],o=void 0;r.saveAllInputs?(p.assert(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),o=Object.keys(t).map((function(e){return t[e]}))):o=i.map((function(e){return t[e]}));var u=n.filter((function(e,t){return a[t]}));return o.concat(u)}return null},e.prototype.makeTensor=function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var i=e;"string"===n&&p.isString(e[0])&&(i=e.map((function(e){return p.encodeString(e)})));var a=r.write(i,t,n),o=new l.Tensor(t,n,a,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(a),u=h.bytesFromStringArray(i);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},e.prototype.makeTensorFromDataId=function(e,t,n,r){n=n||"float32";var i=new l.Tensor(t,n,e,this.nextTensorId());return this.incRef(i,r),i},e.prototype.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.asType(r));var i=new l.Variable(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[i.name])throw new Error("Variable with name "+i.name+" was already registered");return this.state.registeredVariables[i.name]=i,this.incRef(i,this.backend),i},e.prototype.incRef=function(e,t){var n=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(r=e.size*p.bytesPerElement(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof l.Variable||this.track(e)},e.prototype.disposeTensor=function(e){if(this.state.tensorInfo.has(e.dataId)){this.state.numTensors--,"string"===e.dtype&&this.state.numStringTensors--;var t=this.state.tensorInfo.get(e.dataId);t.refCount<=1?("complex64"!==e.dtype&&(this.state.numBytes-=t.bytes),this.state.numDataBuffers--,t.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):this.state.tensorInfo.get(e.dataId).refCount--}},e.prototype.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},e.prototype.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e},e.prototype.profile=function(e){return r(this,void 0,void 0,(function(){var t,n;return i(this,(function(r){return this.state.profiling=!0,t=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},e.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},e.prototype.addTapeNode=function(e,t,n,r,i,a){var o=this,u={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:i},c=s.getGradient(e);null!=c&&(r=c.gradFunc),null!=r&&(u.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],i=p.makeZerosTypedArray(r.size,r.dtype);return o.makeTensor(i,r.shape,r.dtype)}return 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0===i&&(i=[1,1]),this.throwIfDisposed(),ye.depthwiseConv2d(this,e,t,n,r,i,a)},e.prototype.separableConv2d=function(e,t,n,r,i,a){return void 0===i&&(i=[1,1]),void 0===a&&(a="NHWC"),this.throwIfDisposed(),ye.separableConv2d(this,e,t,n,r,i,a)},e.prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),ye.avgPool(this,e,t,n,r)},e.prototype.maxPool=function(e,t,n,r){return this.throwIfDisposed(),ye.maxPool(this,e,t,n,r)},e.prototype.localResponseNormalization=function(e,t,n,r){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===n&&(n=1),void 0===r&&(r=.5),ye.localResponseNormalization(this,e,t,n,r)},e.prototype.pool=function(e,t,n,r,i){return this.throwIfDisposed(),ye.pool(this,e,t,n,r,i)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),ve().makeVariable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),ye.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),ye.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),ye.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),ye.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,n,r,i,a,o,s){return void 0===r&&(r=0),void 0===i&&(i=0),void 0===a&&(a=0),void 0===o&&(o=0),void 0===s&&(s=0),this.throwIfDisposed(),ye.stridedSlice(this,e,t,n,r,i,a,o,s)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),ye.depthToSpace(this,e,t)},e.prototype.fft=function(){return this.throwIfDisposed(),ye.spectral.fft(this)},e.prototype.ifft=function(){return this.throwIfDisposed(),ye.spectral.ifft(this)},e.prototype.rfft=function(){return this.throwIfDisposed(),ye.spectral.rfft(this)},e.prototype.irfft=function(){return this.throwIfDisposed(),ye.spectral.irfft(this)},e}();Object.defineProperty(xe,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.dataId&&null!=e.shape&&null!=e.dtype}});var we,Ee,Ce,Se,Ne,Ae=function(e){function t(t,n,r,i){var a=e.call(this,t.shape,t.dtype,t.dataId,i)||this;return a.trainable=n,a.name=r,a}return i(t,e),t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and previous value ("+this.dtype+") must match");if(!M(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and previous value ("+this.shape+") must match");ve().disposeTensor(this),this.dataId=e.dataId,ve().incRef(this,null)},t.prototype.dispose=function(){ve().disposeVariable(this),this.isDisposedInternal=!0},t}(xe);Object.defineProperty(Ae,Symbol.hasInstance,{value:function(e){return e instanceof xe&&null!=e.assign&&e.assign instanceof Function}}),function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"}(we||(we={})),function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(Ee||(Ee={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(Ce||(Ce={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(Se||(Se={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(Ne||(Ne={}));var ke={float32:Se,int32:Ee,bool:Ce,complex64:Ne};function De(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast "+e+" with "+t)}return ke[e][t]}function _e(e){return De(e,"int32")}function Me(e,t){if(e.dtype===t.dtype)return[e,t];var n=De(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function Te(e,t){N(e.dtype===t.dtype,(function(){return"The dtypes of the first("+e.dtype+") and second("+t.dtype+") input must match"}))}function Oe(e){var t=[];return function e(t,n,r){if(null!=t)if(t instanceof xe)n.push(t);else if(i=t,Array.isArray(i)||"object"==typeof i){var i,a=t;for(var o in a){var s=a[o];r.has(s)||(r.add(s),e(s,n,r))}}}(e,t,new Set),t}var Ie,Fe=Object.freeze({makeTypesMatch:Me,assertTypesMatch:Te,isTensorInList:function(e,t){return t.some((function(t){return t.id===e.id}))},getTensorsInContainer:Oe}),Re=function(){function e(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),Be=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Re}return e.prototype.ready=function(){return a(this,void 0,void 0,(function(){var e,t,n;return o(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];e=this.getSortedBackends(),t=0,r.label=1;case 1:return t<e.length?(n=e[t],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return t++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(e.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '"+t+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance},enumerable:!0,configurable:!0}),e.prototype.backendNames=function(){return Object.keys(this.registryFactory)},e.prototype.findBackend=function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]},e.prototype.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},e.prototype.registerBackend=function(e,t,n){return void 0===n&&(n=1),e in this.registryFactory?(console.warn(e+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},e.prototype.setBackend=function(e){return a(this,void 0,void 0,(function(){var t,n,r;return o(this,(function(i){switch(i.label){case 0:if(null==this.registryFactory[e])throw new Error("Backend name '"+e+"' not found in registry");return this.backendName=e,null!=this.registry[e]?[3,4]:(this.backendInstance=null,t=this.initializeBackend(e),n=t.success,t.asyncInit?[4,n]:[3,2]);case 1:return r=i.sent(),[3,3];case 2:r=n,i.label=3;case 3:if(!r)return[2,!1];i.label=4;case 4:return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new fe(this.backendInstance),[2,!0]}}))}))},e.prototype.setupRegisteredKernels=function(){var e=this;m(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},e.prototype.disposeRegisteredKernels=function(e){var t=this;m(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))},e.prototype.initializeBackend=function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var i=++this.pendingBackendInitId,a=r.then((function(n){return!(i<t.pendingBackendInitId||(t.registry[e]=n,t.pendingBackendInit=null,0))})).catch((function(n){return!(i<t.pendingBackendInitId||(t.pendingBackendInit=null,console.warn("Initialization of backend "+e+" failed"),console.warn(n.stack||n.message),1))}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[e]=r,{success:!0,asyncInit:!1}}catch(t){return console.warn("Initialization of backend "+e+" failed"),console.warn(t.stack||t.message),{success:!1,asyncInit:!1}}},e.prototype.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error(e+" backend not found in registry");this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},e.prototype.getSortedBackends=function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))},e.prototype.initializeBackendsAndReturnBest=function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),i=r.success,a=r.asyncInit;if(a||i)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},e.prototype.moveData=function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,i=this.readSync(t);r.disposeData(t),n.backend=e,e.move(t,i,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},e.prototype.tidy=function(e,t){var n,r=this,i=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=e}return this.scopedRun((function(){return r.startScope(i)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},e.prototype.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},e.prototype.nextTensorId=function(){return e.nextTensorId++},e.prototype.nextVariableId=function(){return e.nextVariableId++},e.prototype.clone=function(e){var t=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){return e.toFloat()}}}),[],{}),t},e.prototype.runKernel=function(e,t,n,r,i){return this.runKernelFunc(null,t,null,e,n,r,i)},e.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},e.prototype.checkKernelForMemLeak=function(e,t,n){var r=this.backend.numDataIds(),i=0;n.forEach((function(e){i+="complex64"===e.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-i-a;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+e+"'")},e.prototype.runKernelFunc=function(e,t,n,r,i,a,o){var s,u=this,c=[],l=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,p=this.state.numBytes,d=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var m,g=h(r,this.backendName);if(null!=g)f=function(){var e=u.backend.numDataIds();m=g.kernelFunc({inputs:t,attrs:i,backend:u.backend});var n=Array.isArray(m)?m:[m];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n);var s=n.map((function(e){var t=e.dataId,n=e.shape,r=e.dtype;return u.makeTensorFromDataId(t,n,r)}));if(l){var f=u.getTensorsForGradient(r,t,s);if(null==f){null==o&&(o=[]);var p=s.filter((function(e,t){return o[t]}));f=(a||[]).slice().concat(p)}c=u.saveTensorsForBackwardMode(f)}return s};else{var v=function(e){l&&(c=e.map((function(e){return u.keep(u.clone(e))})))};f=function(){var t=u.backend.numDataIds();m=u.tidy((function(){return e(u.backend,v)}));var n=Array.isArray(m)?m:[m];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n),n}}return this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,t,(function(){return f()})):f()})),l&&this.addTapeNode(r,t,s,n,c,i),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-p,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-d,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(t).map((function(e){return t[e].shape})),outputShapes:s.map((function(e){return e.shape}))}),Array.isArray(m)?s:s[0]},e.prototype.saveTensorsForBackwardMode=function(e){var t=this;return e.map((function(e){return t.keep(t.clone(e))}))},e.prototype.getTensorsForGradient=function(e,t,n){var r=d(e);if(null!=r){var i=r.inputsToSave||[],a=r.outputsToSave||[],o=void 0;r.saveAllInputs?(N(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),o=Object.keys(t).map((function(e){return t[e]}))):o=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return a[t]}));return o.concat(s)}return null},e.prototype.makeTensor=function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var i=e;"string"===n&&G(e[0])&&(i=e.map((function(e){return oe(e)})));var a=r.write(i,t,n),o=new xe(t,n,a,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(a),u=H(i);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},e.prototype.makeTensorFromDataId=function(e,t,n,r){var i=new xe(t,n=n||"float32",e,this.nextTensorId());return this.incRef(i,r),i},e.prototype.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.asType(r));var i=new Ae(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[i.name])throw new Error("Variable with name "+i.name+" was already registered");return this.state.registeredVariables[i.name]=i,this.incRef(i,this.backend),i},e.prototype.incRef=function(e,t){var n=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(r=e.size*$(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof Ae||this.track(e)},e.prototype.disposeTensor=function(e){if(this.state.tensorInfo.has(e.dataId)){this.state.numTensors--,"string"===e.dtype&&this.state.numStringTensors--;var t=this.state.tensorInfo.get(e.dataId);t.refCount<=1?("complex64"!==e.dtype&&(this.state.numBytes-=t.bytes),this.state.numDataBuffers--,t.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):this.state.tensorInfo.get(e.dataId).refCount--}},e.prototype.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},e.prototype.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e},e.prototype.profile=function(e){return a(this,void 0,void 0,(function(){var t,n;return o(this,(function(r){return this.state.profiling=!0,t=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},e.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},e.prototype.addTapeNode=function(e,t,n,r,i,a){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:i},u=d(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],i=re(r.size,r.dtype);return o.makeTensor(i,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],i,a)}),this.state.activeTape.push(s)},e.prototype.keep=function(e){return e.kept=!0,e},e.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},e.prototype.endTape=function(){this.state.gradientDepth--},e.prototype.startScope=function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t},e.prototype.endScope=function(e){for(var t=this,n=Oe(e),r=new Set(n.map((function(e){return e.id}))),i=0;i<this.state.activeScope.track.length;i++){var a=this.state.activeScope.track[i];a.kept||r.has(a.id)||a.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))},e.prototype.gradients=function(e,t,n,r){var i=this;if(void 0===r&&(r=!1),N(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must 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2===c().getNumber("WEBGL_VERSION")?(e="#version 300 es",t="in",n="out",r="in",i="texture",a="outputColor",o="out vec4 outputColor;",s="\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",u="",l="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(e="",t="attribute",n="varying",r="varying",i="texture2D",a="gl_FragColor",o="",s="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",u="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",l="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:e,attribute:t,varyingVs:n,varyingFs:r,texture2D:i,output:a,defineOutput:o,defineSpecialNaN:s,defineSpecialInf:u,defineRound:l}}function $a(e,t,n){void 0===n&&(n="index");var r=Q(t);return r.map((function(t,i){return"int "+e[i]+" = "+n+" / "+t+"; "+(i===r.length-1?"int "+e[i+1]+" = "+n+" - "+e[i]+" * "+t:"index -= "+e[i]+" * "+t)+";"})).join("")}function Ha(e){var t=Q(e).map((function(e){return e.toString()}));return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+t[0]+" + coords.y * "+t[1]+" + coords.z;\n  }\n"}var Ga="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n";function Ka(e,t,n,r){var i=[];e.forEach((function(e){var t=_(e.shapeInfo.logicalShape);e.shapeInfo.isUniform?i.push("uniform float "+e.name+(t>1?"["+t+"]":"")+";"):(i.push("uniform sampler2D "+e.name+";"),i.push("uniform int offset"+e.name+";"))}));var a,o,s=i.join("\n"),u=e.map((function(e){return function(e,t,n){void 0===n&&(n=!1);var r="";r+=n?Ya(e):Xa(e);var i=e.shapeInfo.logicalShape,a=t.logicalShape;return i.length<=a.length&&(r+=n?function(e,t){var n,r,i=e.name,a=i.charAt(0).toUpperCase()+i.slice(1),o="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,c=Or(e.shapeInfo.logicalShape,t.logicalShape),l=ro(u),f=u-s,p=["x","y","z","w","u","v"];n=0===s?"":u<2&&c.length>=1?"coords = 0;":c.map((function(e){return"coords."+p[e+f]+" = 0;"})).join("\n"),r=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+p[t+f]})).join(", ");var h="return outputValue;",d=1===_(e.shapeInfo.logicalShape),m=1===_(t.logicalShape);if(1!==s||d||m){if(d&&!m)h=1===u?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(c.length){var g=s-2,v=s-1;c.indexOf(g)>-1&&c.indexOf(v)>-1?h="return vec4(outputValue.x);":c.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":c.indexOf(v)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}}else h="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+a+"("+r+");\n      "+h+"\n    }\n  "}(e,t):function(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",a=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&M(o,a))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c,l,f=ro(u),p=Or(e.shapeInfo.logicalShape,t.logicalShape),h=u-s,d=["x","y","z","w","u","v"];return c=0===s?"":u<2&&p.length>=1?"coords = 0;":p.map((function(e){return"coords."+d[e+h]+" = 0;"})).join("\n"),l=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+d[t+h]})).join(", "),"\n    float "+i+"() {\n      "+f+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+l+");\n    }\n  "}(e,t)),r}(e,t,r)})).join("\n"),c=t.texShape,l=Va(),f=function(e){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+e.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),p=function(e){return e.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+e.varyingFs+" vec2 resultUV;\n    "+e.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+e.defineSpecialNaN+"\n    "+e.defineSpecialInf+"\n    "+e.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+Ja+"\n    "+Za+"\n    "+Qa+"\n  "}(l);return t.isPacked?(a=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,t);case 2:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(M(e,t))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(e[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return n=e,r=t,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=(a=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+i[0]+", "+i[1]+"));\n      int index = resTexRC.x * "+i[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(e,t){for(var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),i=r*Math.ceil(e[e.length-2]/2),a=i,o="",s="b, r, c",u=2;u<e.length-1;u++)o="\n      int b"+u+" = index / "+(a*=e[e.length-u-1])+";\n      index -= b"+u+" * "+a+";\n    "+o,s="b"+u+", "+s;return"\n    ivec"+e.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+o+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+e.length+"("+s+");\n    }\n  "}(e,t)}var n,r,i,a,o}(t.logicalShape,c),o=function(e){return"\n    void setOutput(vec4 val) {\n      "+e.output+" = val;\n    }\n  "}(l)):(a=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){return 1===t[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){return M(e,t)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ":1===e[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===e[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return n=t,r=$a(["r","c","d"],e),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(e,t){var n=$a(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=$a(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=$a(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}var n,r}(t.logicalShape,c),o=function(e){return"\n    void setOutput(float val) {\n      "+e.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(p+=eo),[p,f,o,s,a,u,n].join("\n")}function Xa(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"float "+n+"() {return "+t+";}";var r=e.shapeInfo.texShape,i=r[0],a=r[1];if(1===i&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+t+", halfCR);\n      }\n    ";var o=e.shapeInfo.texShape;return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+o[0]+", "+o[1]+", "+to(t)+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+no(e)+"\n      }\n    ";var r=e.shapeInfo.texShape,i=r[0],a=r[1];if(1===a&&1===i)return"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR);\n      }\n    ";var o=to(t);return 1===a?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+i+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+a+", index + "+o+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape;if(null!=i&&M(t,i)){var a=i[0];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var o=P(t),s=o.newShape,u=o.keptDims,c=s;if(c.length<t.length)return"\n      "+Xa(io(e,c))+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+ao(["row","col"],u)+");\n      }\n    ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+t[1]+", 1)));\n        "+no(e)+"\n      }\n    ";var l=i[0],f=i[1],p=to(n);return 1===f?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+l+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":1===l?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+t[1]+" + col + "+p+";\n    vec2 uv = uvFromFlat("+l+", "+f+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[1]*t[2],a=t[2],o=P(t),s=o.newShape,u=o.keptDims,c=s;if(c.length<t.length)return"\n        "+Xa(io(e,c))+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+ao(["row","col","depth"],u)+");\n        }\n      ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+i+", "+a+", 1)));\n        "+no(e)+"\n      }\n    ";var l=e.shapeInfo.texShape,f=l[0],p=l[1],h=e.shapeInfo.flatOffset;return p===i&&null==h?"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+p+".0, "+f+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ":p===a&&null==h?"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+t[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+p+".0, "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+i+" + col * "+a+" + depth + "+to(n)+";\n        vec2 uv = uvFromFlat("+f+", "+p+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(e);case 4:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[3],a=t[2]*i,o=t[1]*a,s=P(t),u=s.newShape,c=s.keptDims;if(u.length<t.length)return"\n      "+Xa(io(e,u))+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+ao(["row","col","depth","depth2"],c)+");\n      }\n    ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+o+", "+a+", "+i+", 1)));\n        "+no(e)+"\n      }\n    ";var l=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,p=f[0],h=f[1];return h===o&&null==l?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+h+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":h===i&&null==l?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+t[1]*t[2]+", "+t[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+h+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+o+" + col * "+a+" +\n          depth * "+i+" + depth2;\n      vec2 uv = uvFromFlat("+p+", "+h+", index + "+to(n)+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 5:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[4],a=t[3]*i,o=t[2]*a,s=t[1]*o,u=P(t),c=u.newShape,l=u.keptDims;if(c.length<t.length)return"\n      "+Xa(io(e,c))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+ao(["row","col","depth","depth2","depth3"],l)+");\n      }\n    ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+o+", "+a+", "+i+")) +\n          depth3;\n        "+no(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,h=p[0],d=p[1];return d===s&&null==f?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+o+", "+a+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":d===i&&null==f?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]+",\n               "+t[2]*t[3]+", "+t[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" + depth * "+a+" +\n          depth2 * "+i+" + depth3 + "+to(n)+";\n      vec2 uv = uvFromFlat("+h+", "+d+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 6:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=P(t),a=i.newShape,o=i.keptDims;if(a.length<t.length)return"\n      "+Xa(io(e,a))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+ao(["row","col","depth","depth2","depth3","depth4"],o)+");\n      }\n    ";var s=t[5],u=t[4]*s,c=t[3]*u,l=t[2]*c,f=t[1]*l;if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+f+", "+l+", "+c+", "+u+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+s+", 1)));\n        "+no(e)+"\n      }\n    ";var p=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,d=h[0],m=h[1];return m===f&&null==p?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+l+", "+c+", "+u+", "+s+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":m===s&&null==p?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]*t[4]+",\n               "+t[2]*t[3]*t[4]+",\n               "+t[3]*t[4]+",\n               "+t[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+f+" + col * "+l+" + depth * "+c+" +\n          depth2 * "+u+" + depth3 * "+s+" + depth4 + "+to(n)+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);default:throw new Error(t.length+"-D input sampling is not yet supported")}}function Ya(e){var t;switch(e.shapeInfo.logicalShape.length){case 0:return"\n    vec4 get"+(t=e.name).charAt(0).toUpperCase()+t.slice(1)+"() {\n      return "+Va().texture2D+"("+t+", halfCR);\n    }\n  ";case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Va();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+i[0]+", "+i[1]+", index);\n      return "+a.texture2D+"("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape,a=i[0],o=i[1],s=Va();if(null!=i&&M(t,i))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(t[1]/2)+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape,a=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===t[0])return"\n        "+Ya(io(e,t.slice(1)))+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+ao(["b","row","col"],[1,2])+");\n        }\n      ";var o=a[0],s=a[1],u=Math.ceil(t[2]/2);return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+o+", "+s+", "+u*Math.ceil(t[1]/2)+", "+u+", b, row, col);\n      return "+Va().texture2D+"("+n+", uv);\n    }\n  "}(e);default:return function(e){for(var t=e.shapeInfo.logicalShape,n=t.length,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=e.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=o[0],u=o[1],c=Math.ceil(t[n-1]/2),l=c*Math.ceil(t[n-2]/2),f="int b, int row, int col",p="b * "+l+" + (row / 2) * "+c+" + (col / 2)",h=2;h<n-1;h++)f="int b"+h+", "+f,p="b"+h+" * "+(l*=t[n-h-1])+" + "+p;return"\n    vec4 "+i+"("+f+") {\n      int index = "+p+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+Va().texture2D+"("+r+", uv);\n    }\n  "}(e)}}var Ja="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Za="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Qa="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",eo="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function to(e){return"offset"+e}function no(e){var t=e.name,n=_(e.shapeInfo.logicalShape);return n<2?"return "+t+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+t+"[i];\n      }\n    }\n  "}function ro(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function io(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function ao(e,t){return t.map((function(t){return e[t]})).join(", ")}var oo=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,N(e.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var i=e[e.length-1],a=Math.ceil(i/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,c=u.length,l=ro(c),f=Wa("coords",c);if(1===a){var p=ro(s=c+1);o="\n        "+p+" sourceLocR = "+p+"("+f.join()+", 0);\n        ++"+f[c-1]+";\n        "+p+" sourceLocG = "+p+"("+f.join()+", 0);\n        ++"+f[c-2]+";\n        "+p+" sourceLocA = "+p+"("+f.join()+", 0);\n        --"+f[c-1]+";\n        "+p+" sourceLocB = "+p+"("+f.join()+", 0);\n        --"+f[c-2]+";"}else s=c,o="\n        "+l+" sourceLocR = coords;\n        ++"+f[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+f[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+f[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+f[c-2]+";";var h=["x","y","z","w","u","v"].slice(0,s),d="."+h[s-1],m=h.map((function(e){return"int "+e})),g=Wa("sourceLocR",s-1).concat("inIdx.r"),v=Wa("sourceLocG",s-1).concat("inIdx.g"),y=Wa("sourceLocB",s-1).concat("inIdx.b"),b=Wa("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",E="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",C=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+h.join()+"),\n                                          vec2("+h.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+h.join()+"),\n                               vec2("+h.slice(-2).join()+"));\n      }\n      "+C+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+f[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+f[c-2]+" < "+(u[c-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+t+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+t+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},so=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=s-1-e.padInfo.top,l=u-1-e.padInfo.left,f=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+f+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},uo=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,i=e.strideDepth,a=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterDepth,f=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=l-1-e.padInfo.front,d=f-1-e.padInfo.top,m=p-1-e.padInfo.left,g=1/(t*n*r);this.userCode="\n      const ivec3 pads = ivec3("+h+", "+d+", "+m+");\n      const float avgMultiplier = float("+g+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+i+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+f+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+p+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},co=function(e,t,n,r,i,a){this.outputShape=[],this.variableNames=["x","mean","variance"],Fr(e,t),Fr(e,n);var o="0.0";null!=r&&(Fr(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=i&&(Fr(e,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},lo=function(e,t,n,r,i,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Fr(e,t),Fr(e,n);var o="vec4(0.0)";null!=r&&(Fr(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(Fr(e,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        vec4 offset = "+o+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},fo=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Fr(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},po="return a + b;",ho="return a - b;",mo="return a * b;",go="return (a < 0.) ? b * a : a;",vo=function(e,t,n){this.variableNames=["A","B"],this.outputShape=Fr(t,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},yo="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",bo=function(e,t,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Fr(t,n);var i=this.outputShape.length,a="";if(r)if(0===i||1===_(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+ro(i)+" coords = getOutputCoords();\n        ",1===i)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=Wa("coords",i);a+="\n            bool nextRowOutOfBounds =\n              ("+o[i-2]+" + 1) >= "+this.outputShape[i-2]+";\n            bool nextColOutOfBounds =\n              ("+o[i-1]+" + 1) >= "+this.outputShape[i-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},xo=function(){function e(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(i,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}(),wo=function(){function e(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(i,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}(),Eo=function(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},Co=function(e){this.outputShape=[],this.outputShape=Sn(e,1),this.variableNames=e.map((function(e,t){return"T"+t}));var t=new Array(e.length-1);t[0]=e[0][1];for(var n=1;n<t.length;n++)t[n]=t[n-1]+e[n][1];var r=["if (yC < "+t[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<t.length;n++){var i=t[n-1];r.push("else if (yC < "+t[n]+") setOutput(getT"+n+"(yR, yC-"+i+"));")}var a=t.length,o=t[t.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+o+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},So=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=Sn(e,t);var n=this.outputShape,r=n.length,i=ro(r),a=Wa("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((function(e,t){return"T"+t}));var s=new Array(e.length-1);s[0]=e[0][t];for(var u=1;u<s.length;u++)s[u]=s[u-1]+e[u][t];var c=o[t],l=o.slice(-2),f=o.join(),p="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+f+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var h=s[u-1];p+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+No(o,c,h)+"),\n            vec2("+No(l,c,h)+"));\n        }"}var d=s.length,m=s[s.length-1];p+="\n        return getChannel(\n          getT"+d+"("+No(o,c,m)+"),\n          vec2("+No(l,c,m)+"));",this.userCode="\n      float getValue("+o.map((function(e){return"int "+e}))+") {\n        "+p+"\n      }\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function No(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}var Ao=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,i=e.padInfo.left,a="channelsLast"===e.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ko=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,i=e.strideWidth,a="channelsLast"===e.dataFormat,o=t-1-e.padInfo.top,s=n-1-e.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n\n              if ("+a+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Do=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,i=e.padInfo.front,a=e.padInfo.top,o=e.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yF = 0; yF < "+e.outDepth+"; yF++) {\n            int xF = wF + yF * "+t+" - "+i+";\n\n            if (xF < 0 || xF >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+o+";\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},_o=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,i=e.strideDepth,a=e.strideHeight,o=e.strideWidth,s=t-1-e.padInfo.front,u=n-1-e.padInfo.top,c=r-1-e.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+t+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+i+".0;\n\n          if (dyF < 0.0 || dyF >= "+e.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+t+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Mo=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,i=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},To=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,i=e.strideWidth,a=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Oo=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.padInfo.top,a=e.padInfo.left,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterHeight,f=e.filterWidth,p=4*Math.floor(e.inChannels/4),h=e.inChannels%4,d="channelsLast"===e.dataFormat,m=d?1:2,g=d?2:3,v=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",b="result = activation(result);");var x=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+i+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+v+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+m+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+p+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+d+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===h)+") {\n\n              if ("+d+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+p+") *\n                    getW(wR, wC, "+p+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+p+", xR, xC) *\n                    getW(wR, wC, "+p+", d2);\n              }\n\n            } else if ("+(2===h)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+p+", d2),\n                getW(wR, wC, "+p+" + 1, d2)\n              );\n\n              if ("+d+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+p+"),\n                  getX(batch, xR, xC, "+p+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+p+", xR, xC),\n                  getX(batch, "+p+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===h)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+p+", d2),\n                getW(wR, wC, "+p+" + 1, d2),\n                getW(wR, wC, "+p+" + 2, d2)\n              );\n\n              if ("+d+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+p+"),\n                  getX(batch, xR, xC, "+p+" + 1),\n                  getX(batch, xR, xC, "+p+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+p+", xR, xC),\n                  getX(batch, "+p+" + 1, xR, xC),\n                  getX(batch, "+p+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "},Io=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,i=e.strideDepth,a=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterDepth,f=e.filterHeight,p=e.filterWidth,h=4*Math.floor(e.inChannels/4),d=e.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+i+", "+a+", "+o+");\n      const ivec3 pads = ivec3("+t+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+p+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+h+") *\n                  getW(wF, wR, wC, "+h+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1),\n                  getX(batch, xF, xR, xC, "+h+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2),\n                  getW(wF, wR, wC, "+h+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Fo=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.inHeight,a=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,l=e.dilationHeight,f=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,d=e.outChannels/e.inChannels,m="",g="";n&&(m=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",g="result = activation(result);");var v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+m+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+d+";\n        int q = d2 - d1 * "+d+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+p+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+i+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+f+";\n\n            if (xC < 0 || xC >= "+a+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+v+"\n        "+g+"\n        setOutput(result);\n      }\n    "},Ro=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;for(var i=e.inHeight,a=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,l=e.dilationHeight,f=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,d=h,m="int xR; int xC; int xCOffset;",g=0;g<p;g++)for(var v=0;v<h;v++)m+="\n          vec4 xTexelR"+g+"C"+2*v+" = vec4(0.);\n          vec4 wR"+g+"C"+v+" = vec4(0.);\n          vec4 xR"+g+"C"+v+" = vec4(0.);";for(g=0;g<p;g++)for(var y=0;y<d;y++){if(m+="\n          xR = xRCorner + "+g*l+";\n          xC = xCCorner + "+(v=2*y)*f+";\n        ",1===c){if(v<h&&(m+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+g+"C"+v+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+g+"C"+v+" = vec4(previous.zw, xTexelR"+g+"C"+v+".xy);\n                } else {\n                  xR"+g+"C"+v+" = vec4(0, 0, xTexelR"+g+"C"+v+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+i+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = xTexelR"+g+"C"+v+";\n              ",v+1<h)){var b=s%2==0?C(f):f;f%2==0&&s%2==1||f%2!=0&&s%2!=1?(m+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",f>1&&(m+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+i+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+g+"C"+v+" = vec4(0.);\n                    }\n                  "),m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".xy);\n                "):m+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+g+"C"+(v+1)+" = xTexelR"+g+"C"+(v+2)+";\n                "}}else v<h&&(m+="\n              if(xR >= 0 && xR < "+i+") {\n            ",s%2==1?(m+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n              ",v+1<h&&(m+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+g+"C"+(v+1)+" = vec4(xTexelR"+g+"C"+(v+2)+".xy, final.xy);\n                ")):(m+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".xy, xTexelR"+g+"C"+(v+2)+".xy);\n              ",v+1<h&&(m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n                ")),m+="}");v<h&&(m+="\n            vec4 wTexelR"+g+"C"+v+" = getW("+g+", "+v+", d1, q);\n            wR"+g+"C"+v+" = vec4(wTexelR"+g+"C"+v+".xz, wTexelR"+g+"C"+v+".xz);\n          ",v+1<h&&(m+="\n              vec4 wTexelR"+g+"C"+(v+1)+" = getW("+g+", "+(v+1)+", d1, q);\n              wR"+g+"C"+(v+1)+" =\n                vec4(wTexelR"+g+"C"+(v+1)+".xz, wTexelR"+g+"C"+(v+1)+".xz);"))}for(g=0;g<p;g++)for(v=0;v<h;v++)m+="dotProd += xR"+g+"C"+v+" * wR"+g+"C"+v+";";var x="",w="";n&&(x=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",w="result = activation(result);");var E=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+x+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+m+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+w+"\n        setOutput(result);\n      }\n    "},Bo=function(e,t,n,r,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=e[0],o=e[1],s=e[2],u=e[3],c=t[0],l=n[0],f=n[1];this.outputShape=[c,l,f,u];var p="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],d=h[0],m=h[1],g=l>1?[""+(o-1)/(l-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],v=g[0],y=g[1],b=g[2],x=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],w=x[0],E=x[1],C=x[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+E+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+C+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+p+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},zo=function(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,i=e[e.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+i+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+ro(r)+" coords = getOutputCoords();\n        int end = "+Po(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+i+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+t+") {\n            continue;\n          }\n          "+Po(r,"coords")+" = idx;\n          val += getX("+function(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function Po(e,t){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}var Lo=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=je.DENSE;var t=Ke(e),n=Va();this.outputShape=e,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+$a(["r","c","d"],e)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+t[0]+", "+t[1]+"));\n        int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},jo=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=je.DENSE;var t=Ke(e),n=Va();this.outputShape=e,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+$a(["r","c","d"],e)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+t[0]+", "+t[1]+"));\n        int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},Uo=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+t+";\n      int offset_h = imod(h, "+t+");\n      int in_w = w / "+t+";\n      int offset_w = imod(w, "+t+");\n      int offset_d = (offset_h * "+t+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return e.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},e.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},e.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},e.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}(),qo=function(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},Wo=function(e){this.variableNames=["A"],this.outTexUsage=Ue.DOWNLOAD;var t=Va();this.outputShape=e,this.userCode="\n      "+Ga+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+t.output+" = encode_float(x);\n      }\n    "},Vo=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ue.DOWNLOAD;var t=Va();this.outputShape=e,this.userCode="\n      "+Ga+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+t.output+" = encode_float(x);\n      }\n    "},$o=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=Va(),i=t[0],a=t[1];this.outputShape=e;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+Ha(e)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},Ho=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=Va(),i=t[0],a=t[1];this.outputShape=e;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+e[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+e[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+Ha(e)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+o+"\n\n        "+r.output+" = "+s+";\n      }\n    "},Go=function(e,t,n){this.variableNames=["real","imag"];var r=t[1];this.outputShape=t;var i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+i+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+e+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},Ko=function(){function e(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.valueLoc&&(t.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(t.valueLoc,e)}},e}(),Xo=function(e,t,n){this.variableNames=["A","indices"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var i=ro(this.rank),a=function(e,t){var n=e.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],a=0;a<e.length;a++)a===t?i.push("int(getIndices("+r[a]+"))"):i.push(""+r[a]);return i.join()}(e,n);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "},Yo=function(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;var r=ro(t.length),i=ro(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+i+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function Jo(e,t){var n=Va();return tt(e,t,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    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es(e,t,a[0],a[1],i.internalFormatFloat,i.textureFormatFloat,e.FLOAT)}function ns(e,t,n,r,i){var a=Ge(n,r);return es(e,t,a[0],a[1],i.internalFormatHalfFloat,i.textureFormatFloat,i.textureTypeHalfFloat)}function rs(e,t,n,r,i){var a=Ge(n,r);return es(e,t,a[0],a[1],e.RGBA,e.RGBA,e.UNSIGNED_BYTE)}function is(e,t,n,r,i){var a=Xe(n,r);return es(e,t,a[0],a[1],i.internalFormatPackedFloat,e.RGBA,e.FLOAT)}function as(e,t,n,r,i){var a=Xe(n,r);return es(e,t,a[0],a[1],i.internalFormatPackedHalfFloat,e.RGBA,i.textureTypeHalfFloat)}function os(e,t,n,r){return Je(e,t,(function(){return e.bindBuffer(e.ARRAY_BUFFER,r)})),dt(e,t,n,"clipSpacePos",r,3,20,0)&&dt(e,t,n,"uv",r,2,20,12)}function ss(e,t,n,r,i,a,o){var s,u,c;Je(e,t,(function(){return e.bindTexture(e.TEXTURE_2D,n)})),a instanceof Uint8Array?(s=new Uint8Array(r*i*4),u=e.UNSIGNED_BYTE,c=e.RGBA):(s=new Float32Array(r*i*4),u=e.FLOAT,c=o.internalFormatPackedFloat),s.set(a),Je(e,t,(function(){return 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r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,i),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),i}function fs(e,t,n,r,i){var a=Ge(n,r),o=a[0],s=a[1],u=new Uint8Array(n*r*4);return Je(e,t,(function(){return e.readPixels(0,0,o,s,i.downloadTextureFormat,e.UNSIGNED_BYTE,u)})),new Float32Array(u.buffer)}function ps(e,t,n,r,i,a,o,s){var u=e,c=new Float32Array(function(e,t){var n=Xe(e,t);return n[0]*n[1]*4}(a,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function hs(e,t,n,r){var i=new Float32Array(n*r*4);return Je(e,t,(function(){return e.readPixels(0,0,r,n,e.RGBA,e.FLOAT,i)})),i}var ds=Object.freeze({createVertexShader:Jo,createVertexBuffer:Zo,createIndexBuffer:Qo,createFloat32MatrixTexture:ts,createFloat16MatrixTexture:ns,createUnsignedBytesMatrixTexture:rs,createPackedMatrixTexture:is,createFloat16PackedMatrixTexture:as,bindVertexProgramAttributeStreams:os,uploadDenseMatrixToTexture:ss,uploadPixelDataToTexture:us,createBufferFromOutputTexture:cs,downloadFloat32MatrixFromBuffer:ls,downloadByteEncodedFloatMatrixFromOutputTexture:fs,downloadPackedMatrixFromBuffer:ps,downloadMatrixFromPackedOutputTexture:hs}),ms=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var t=c().getNumber("WEBGL_VERSION");null!=e?(this.gl=e,$e(t,e)):this.gl=He(t);var n="WEBGL_color_buffer_float";if(1===c().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=et(this.gl,this.debug,"OES_texture_float"),Ft(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=et(this.gl,this.debug,"OES_texture_half_float");else if(c().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Ft(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=et(this.gl,this.debug,"EXT_color_buffer_half_float");else if(c().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Ft(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Ft(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does 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This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;Je(t,this.debug,(function(){return t.finish()})),Je(t,this.debug,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),Je(t,this.debug,(function(){return t.deleteFramebuffer(e.framebuffer)})),Je(t,this.debug,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),Je(t,this.debug,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),Je(t,this.debug,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),ts(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),ns(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),rs(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),us(this.gl,this.debug,e,t)},e.prototype.uploadDenseMatrixToTexture=function(e,t,n,r){this.throwIfDisposed(),ss(this.gl,this.debug,e,t,n,r,this.textureConfig)},e.prototype.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),as(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),is(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(xt(this.gl,this.debug,this.framebuffer),this.outputTexture=null),Je(this.gl,this.debug,(function(){return t.gl.deleteTexture(e)}))},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return fs(r.gl,r.debug,t,n,r.textureConfig)}))},e.prototype.downloadPackedMatrixFromBuffer=function(e,t,n,r,i,a){return ps(this.gl,e,0,0,0,i,a,this.textureConfig)},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t){return ls(this.gl,e,t)},e.prototype.createBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=cs(this.gl,this.debug,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,n,r=this;if(c().getBool("WEBGL_FENCE_API_ENABLED")){var i=e,a=i.fenceSync(i.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=i.clientWaitSync(a,0,0);return e===i.ALREADY_SIGNALED||e===i.CONDITION_SATISFIED},t=a}else c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return hs(r.gl,r.debug,t,n)}))},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=nt(t,this.debug,e),r=Jo(t,this.debug),i=ot(t,this.debug);return Je(t,this.debug,(function(){return t.attachShader(i,r)})),Je(t,this.debug,(function(){return t.attachShader(i,n)})),st(t,this.debug,i),this.debug&&ut(t,this.debug,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=os(t,this.debug,this.program,this.vertexBuffer)),i},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&Je(this.gl,this.debug,(function(){return t.gl.deleteProgram(e)}))},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&ut(this.gl,this.debug,this.program),Je(this.gl,this.debug,(function(){return t.gl.useProgram(e)}))},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?gt(this.gl,this.debug,e,t):vt(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),Je(this.gl,this.debug,(function(){return n.gl.getAttribLocation(e,t)}))},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),yt(this.gl,this.debug,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=Xe(t,n),i=r[0],a=r[1];this.setOutputMatrixTextureDriver(e,i,a)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},e.prototype.debugValidate=function(){null!=this.program&&ut(this.gl,this.debug,this.program),wt(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.debug&&this.debugValidate(),Je(e,this.debug,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),Je(this.gl,this.debug,(function(){return e.gl.finish()}))},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=et(this.gl,this.debug,2===c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),i=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,i),i},e.prototype.endQuery=function(){if(2!==c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return a(this,void 0,void 0,(function(){var t=this;return o(this,(function(n){switch(n.label){case 0:return[4,R((function(){return t.disposed||t.isQueryAvailable(e,c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(e,c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),i=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint}return i=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))},e.prototype.pollItems=function(){for(var e=function(e){for(var t=0;t<e.length&&e[t]();++t);return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t)(0,this.itemsToPoll[t].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||R((function(){return n.pollItems(),0===n.itemsToPoll.length}))},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),bt(this.gl,this.debug,e,this.framebuffer),this.debug&&wt(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(bt(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&wt(this.gl)):xt(this.gl,this.debug,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;bt(r,this.debug,e,this.framebuffer),this.debug&&wt(r),this.outputTexture=e,Je(r,this.debug,(function(){return r.viewport(0,0,t,n)})),Je(r,this.debug,(function(){return r.scissor(0,0,t,n)}))},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var i=this;this.throwIfDisposed(),Je(this.gl,this.debug,(function(){return i.gl.scissor(e,t,n,r)}))},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},e}();function gs(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach((function(e,n){var r=e.logicalShape,i=t[n],a=i.shape;if(!M(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!e.isUniform||!i.isUniform){var o=e.texShape,s=i.isUniform?null:i.texData.texShape;if(!M(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}var vs=function(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var r=n.filterWidth,i=n.inChannels,a=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,f=n.dataFormat,p=s.left,h=s.top,d=i*r,m=Va(),g="channelsLast"===f,v=g?0:1,y=g?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+e[1]+" && pos < "+e[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+h+";\n            d0 = offsetY + "+l+" * (pos / "+d+");\n\n            if(d0 < "+t[v]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+p+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+d+".) / "+i+".));\n\n              if(d1 < "+t[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+i+".));\n\n                if ("+g+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "},ys=function(e,t,n,r,i){this.variableNames=["x"],this.outputShape=[];var a,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";a=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+a+";\n        setOutput(val);\n      }\n    "},bs=function(e,t,n,r,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=i,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+i+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+i+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},xs=function(e,t,n,r,i){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";a=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},ws=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,i=e.effectiveFilterHeight,a=e.effectiveFilterWidth,o=i-1-e.padInfo.top,s=a-1-e.padInfo.left,u=i*a-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+i+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+t+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Es=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,i=e.dilationDepth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,l=s-1-e.padInfo.front,f=u-1-e.padInfo.top,p=c-1-e.padInfo.left,h=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+f+", "+p+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+i+") {\n          float dyD = float(dyDCorner + wD) / "+t+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+h+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Cs=function(e,t,n,r,i,a,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===i&&(i=!1),void 0===a&&(a=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;var s=n?e[1]:e[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",f=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],h="",d="";a&&(h=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",d="result = activation(result);");var m=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+h+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+f[0]+" * "+p[0]+");\n          result += ("+f[1]+" * "+p[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "},Ss=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(t-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(t-1)+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}(),Ns=function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},As=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;var t=e.length;if(0===t)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=Wa("rc",t),r=ro(t),i=function(e,t,n){if(1===e)return"rc > "+t[0];for(var r="",i=e-2;i<e;i++)r+=n[i]+" >= "+t[i],i<e-1&&(r+="||");return r}(t,e,n),a=function(e,t,n,r){if(1===e)return"";var i=r.slice(-2);return"\n    int r = "+i[0]+";\n    int c = "+i[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+t+";\n    bool rEdge = rp1 >= "+n+";\n  "}(t,e[e.length-1],e[e.length-2],n),o=function(e,t){var n=e.length,r=function(e,t){for(var n=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var a=(0===r?"r":"rp1")+", "+(0===i?"c":"cp1"),o=2;o<e;o++)a=t[t.length-1-o]+","+a;n.push(a)}return n}(n,t);return 1===n?"getA(rc),\n            rc + 1 >= "+e[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(e,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+i+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+o+"));\n          }\n        }\n      "}},ks=function(e,t,n){this.variableNames=["x"],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,i=ro(r),a=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+i+" start = "+i+"("+a+");\n      "+i+" end = "+i+"("+o+");\n\n      void main() {\n        "+i+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+i+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Ds=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));for(var r=e.length,i=ro(r),a=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=Wa("rc",r),u=Wa("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",f=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],p=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="",d=0,m=1===r?2:4;d<m;d++)h+="\n        "+f[d]+"\n        if ("+p+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";h+=1===r?"} ":"}}",this.userCode="\n      const "+i+" start = "+i+"("+a+");\n      const "+i+" end = "+i+"("+o+");\n\n      void main() {\n        "+i+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+h+"\n        setOutput(result);\n      }\n    "},_s=function(e,t,n,r,i){if(void 0===r&&(r=!1),void 0===i&&(i=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var a=e.filterWidth,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterHeight,f=e.effectiveFilterWidth,p=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;var d="avg"===t,m="((batch  * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + d",g="(xR * "+e.inWidth+" + xC) * "+e.inChannels+" + d",v="0.0";if(d||(v="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+o+", "+s+");\n        const ivec2 pads = ivec2("+p+", "+h+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+l+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+f+";\n                wC += "+c+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?i?m:g:"wR * "+f+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(y="avgValue / count");var b=4*Math.floor(a/4),x=a%4,w="\n      if ("+d+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+p+", "+h+");\n      const float initializationValue = "+v+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+v+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+l+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+b+"; wC += 4) {\n            int xC = xCCorner + wC * "+c+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              getValue(batch, xR, xC + 3 * "+c+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+b+";\n          if ("+(1===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},Ms=function(e,t,n,r,i){if(void 0===r&&(r=!1),void 0===i&&(i=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var a=e.filterWidth,o=e.strideDepth,s=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,l=e.dilationHeight,f=e.dilationWidth,p=e.effectiveFilterDepth,h=e.effectiveFilterHeight,d=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,v=e.padInfo.left;this.outputShape=e.outShape;var y="avg"===t,b="0.0";if(y||(b="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+m+", "+g+", "+v+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+p+";\n              wD += "+c+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+h+";\n                wR += "+l+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+d+";\n                  wC += "+f+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?i?"(((batch * "+e.inDepth+" + xD) * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"((xD * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"wD * "+h+" * "+d+" +\n                      wR * "+d+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var x=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(x="avgValue / count");var w=4*Math.floor(a/4),E=a%4,C="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+m+", "+g+", "+v+");\n      const float initializationValue = "+b+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+p+";\n            wD += "+c+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+";\n            wR += "+l+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+f+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+f+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+f+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+f+", ch)\n              );\n\n              "+C+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===E)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+C+"\n            } else if ("+(2===E)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+f+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+C+"\n            } else if ("+(3===E)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+f+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+f+", ch),\n                initializationValue\n              );\n\n              "+C+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}},Ts=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,i=e.inSize,a=Math.ceil(i/n);this.outputShape=[r,a];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 1e-20",s="min"):"max"===t&&(o="-1.0 / 1e-20",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,f="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",p="vec4";"all"===t?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",p="bvec4"):"any"===t&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",p="bvec4");var h="";i%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+h+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===l)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===l)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "},Os=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var n="",r=0;r<4;r++){var i="thisRC = rc;";r%2==1&&(i+="thisRC.z += 1;"),r>1&&(i+="thisRC.y += 1;"),n+="\n        "+i+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+$a(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Ha(e)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+e[1]+";\n        int cols = "+e[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "},Is=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,i=r[1],a=r[2],o=e.shape,s=o[1],u=o[2],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],p=c[1]/l[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(i-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Fs=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var i=e[0],a=e[1],o=e[2],s=e[3];this.outputShape=[i,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},Rs=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],a=e[1],o=e[2],s=e[3];this.outputShape=[i,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+o+".0,\n                                     "+o+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Bs=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,i=r[1],a=r[2],o=e.shape,s=o[1],u=o[2],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],p=c[1]/l[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},zs=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var i=e[0],a=e[1],o=e[2],s=e[3];this.outputShape=[i,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},Ps=function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map((function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),i=ro(n);this.userCode="\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "},Ls=function(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=e;var r=Wa("rc",n),i=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],o=ro(n);function s(n){var r=e.map((function(r,i){return function(n,r){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - "+r[n]+" - 1":""+r[n]}(i,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+e[0]+" - rc - 1),\n            "+e[0]+" - rc - 1);\n          if("+i+"){\n              result.g = getChannel(getX("+e[0]+" - (rc  + 1) - 1),\n                "+e[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+o+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(e){return s(e)}(r.slice())+";\n          if("+i+"){\n            result.g = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",s(e)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(e){return e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            if("+i+") {\n              result.a = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},js=function(e,t,n,r,i,a,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=ro(i.length),u=ro(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",f="";1===r?f="i":2===r&&(f="i, coords[1]");var p="getUpdates("+f+")",h=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+i+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+h+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+p+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},Us=function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,i=e.inSize,a=e.numSegments,o=a*Math.ceil(i/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";i%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var f="";i%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},qs=function(e,t,n){var r,i;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)i="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+a[u]),u<e&&o.push(""+a[u]);r=o.join(),i=s.join()}var c=ro(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+i+"));\n        } else {\n          setOutput(getB("+i+"));\n        }\n      }\n    "},Ws=function(){function e(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t,n=ro(this.rank),r="uniform int start["+this.rank+"];",i=function(e){if(1===e)return"sourceLoc";if(e<=6)return Vs.slice(0,e).map((function(e){return"sourceLoc."+e})).join(",");throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);t="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+e.map((function(e,t){return"sourceLoc."+Vs[t]+" = start["+t+"] + coords."+Vs[t]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+t+"\n        setOutput(getSource("+i+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}(),Vs=["x","y","z","w","u","v"],$s=function(){function e(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;var t=ro(this.rank),n=Wa("coords",this.rank),r=Wa("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+i+")",o="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+e[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+t+"("+e.map((function(e,t){return"start["+t+"]"})).join()+");":e.map((function(e,t){return r[t]+" = "+n[t]+" + start["+t+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+t+" coords = getOutputCoords();\n        "+t+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+o+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}(),Hs=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,i=ro(n.length),a=ro(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map((function(e,t){return s++,1===n.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(s-1)+"] * strides["+t+"] + begin["+t+"]"})).join(",")}this.userCode="\n      "+i+" begin = "+i+"("+e+");\n      "+i+" strides = "+i+"("+t+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "},Gs=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t,n){var r,i=Ks(t,n),a=Xs(e,i,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}return this.numUsedTextures++,this.log(),i===qe.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):i===qe.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):i===qe.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):i===qe.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):i===qe.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(r),r},e.prototype.releaseTexture=function(e,t,n,r){if(null!=this.freeTextures){var i=Xs(t,Ks(n,r),r);i in this.freeTextures||(this.freeTextures[i]=[]),this.freeTextures[i].push(e),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[i],o=a.indexOf(e);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(o,1),this.log()}},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));for(var t in this.usedTextures)this.usedTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function Ks(e,t){if(e===Ue.UPLOAD)return qe.PACKED_2X2_FLOAT32;if(e===Ue.RENDER||null==e)return function(e){return c().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?qe.PACKED_2X2_FLOAT32:qe.UNPACKED_FLOAT32:e?qe.PACKED_2X2_FLOAT16:qe.UNPACKED_FLOAT16}(t);if(e===Ue.DOWNLOAD||e===Ue.PIXELS)return qe.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+e)}function Xs(e,t,n){return e[0]+"_"+e[1]+"_"+t+"_"+n}var Ys=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var i=ro(this.rank),a=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],i=0;i<e.length;i++)r.push("imod("+n[i]+", "+e[i]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "},Js=function(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      float unaryOperation(float x) {\n        "+t+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Zs="if (isnan(x)) return x;",Qs="return abs(x);",eu=Zs+"\n  return (x < 0.0) ? 0.0 : x;\n",tu=Zs+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",nu="return (x >= 0.0) ? x : (exp(x) - 1.0);",ru="return -x;",iu="return ceil(x);",au="return floor(x);",ou="return exp(x);",su="return exp(x) - 1.0;",uu="return x;",cu="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",lu="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",fu="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",pu=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},hu=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;var t=e.length,n=Wa("rc",t),r=ro(t),i=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(t,n),a=n.slice(-2),o=t<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+i+");\n\n        setOutput(getChannel(packedInput, "+o+"));\n      }\n    "},du={};function mu(e,t){if(void 0===t&&(t=!1),"linear"===e)return"return x;";if("relu"===e)return t?cu:eu;if("elu"===e)return t?fu:nu;if("relu6"===e)return t?lu:tu;if("prelu"===e)return t?yo:go;throw new Error("Activation "+e+" has not been implemented for the WebGL backend.")}var gu=function(e){function t(t){var n,r=e.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!c().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==t){var i=He(c().getNumber("WEBGL_VERSION"));r.binaryCache=((n=c().getNumber("WEBGL_VERSION"))in du||(du[n]={}),du[n]),r.gpgpu=new ms(i),r.canvas=i.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=t,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=t.gl.canvas;return r.textureManager=new Gs(r.gpgpu),r.numMBBeforeWarning=null==c().global.screen?1024:c().global.screen.height*c().global.screen.width*window.devicePixelRatio*600/1024/1024,r.texData=new ia(r,ze),r}return i(t,e),t.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},t.prototype.write=function(e,t,n){if(c().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:Ue.UPLOAD}),r},t.prototype.move=function(e,t,n,r){if(c().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:Ue.UPLOAD})},t.prototype.readSync=function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,i=t.complexTensors,a=t.slice,o=t.shape,s=t.isPacked;if(null!=a){var u;u=s?new pu(o,uu):new Js(o,uu);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var f,p,h=null!=this.activeTimers;return h&&(f=ie()),p="complex64"===r?Ca(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(e),h&&(this.downloadWaitMs+=ie()-f),this.convertAndCacheOnCPU(e,p)},t.prototype.read=function(e){return a(this,void 0,void 0,(function(){var t,n,r,i,a,s,u,l,f,p,h,d,m,g,v,y,b,x,w,E,C,S;return o(this,(function(o){switch(o.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise((function(e){return t.push(e)}))];if(n=this.texData.get(e),r=n.values,i=n.shape,a=n.slice,s=n.dtype,u=n.complexTensors,l=n.isPacked,null!=a)return f=l?new pu(i,uu):new Js(i,uu),p=this.runWebGLProgram(f,[{dataId:e,shape:i,dtype:s}],s),h=this.read(p.dataId),this.disposeData(p.dataId),[2,h];if(null!=r)return[2,this.convertAndCacheOnCPU(e)];if(!c().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===c().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return d=null,"complex64"!==s&&c().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(e),g=this.texData.get(m.dataId),d=(S=this.gpgpu).createBufferFromTexture.apply(S,[g.texture].concat(Ke(i)))),this.pendingRead.set(e,[]),"complex64"===s?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:o.sent(),o.label=2;case 2:return"complex64"!==s?[3,4]:[4,Promise.all([u.real.data(),u.imag.data()])];case 3:return y=o.sent(),b=y[0],x=y[1],v=Ca(b,x),[3,5];case 4:null==d?v=this.getValuesFromTexture(e):(w=_(i),v=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w)),o.label=5;case 5:return null!=m&&this.disposeData(m.dataId),E=this.convertAndCacheOnCPU(e,v),C=this.pendingRead.get(e),this.pendingRead.delete(e),C.forEach((function(e){return e(E)})),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),[2,E]}}))}))},t.prototype.checkNumericalProblems=function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!Ze(n)){if(c().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},t.prototype.getValuesFromTexture=function(e){var t,n=this.texData.get(e),r=n.shape,i=n.dtype,a=n.isPacked,o=_(r);if(c().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var s=this.decode(e),u=this.texData.get(s.dataId),l=(t=this.gpgpu).downloadMatrixFromPackedTexture.apply(t,[u.texture].concat(Ke(r))).subarray(0,o);return this.disposeData(s.dataId),l}var f=c().getBool("WEBGL_PACK")&&!0===a,p=f?kt(r):r,h=f?new Vo(p):new Wo(p),d=this.runWebGLProgram(h,[{shape:p,dtype:i,dataId:e}],"float32"),m=this.texData.get(d.dataId),g=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(m.texture,m.texShape[0],m.texShape[1]).subarray(0,o);return this.disposeData(d.dataId),g},t.prototype.time=function(e){return a(this,void 0,void 0,(function(){var t,n,r,i,a,s,u;return o(this,(function(o){switch(o.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),i=D(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),a=D(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e})),this.activeTimers=t,r&&(this.programTimersStack=null),s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(i)]:[3,2];case 1:return u=o.sent(),s.kernelMs=S(u),s.getExtraProfileInfo=function(){return u.map((function(e,t){return{name:a[t],ms:e}})).map((function(e){return e.name+": "+e.ms})).join(", ")},[3,3];case 2:s.kernelMs={error:"WebGL query timers are not supported in this environment."},o.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,s]}}))}))},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},t.prototype.startTimer=function(){return c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:ie(),endMs:null}},t.prototype.endTimer=function(e){return c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=ie(),e)},t.prototype.getQueryTime=function(e){return a(this,void 0,void 0,(function(){var t;return o(this,(function(n){return c().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]}))}))},t.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e)){if(this.pendingRead.has(e))return this.pendingDisposal.add(e),void this.pendingDeletes++;if(this.texData.has(e)){this.releaseGPUData(e);var t=this.texData.get(e).complexTensors;null!=t&&(t.real.dispose(),t.imag.dispose()),this.texData.delete(e)}}},t.prototype.releaseGPUData=function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,i=t.texShape,a=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(i,r),this.textureManager.releaseTexture(n,i,a,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},t.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},t.prototype.getDataInfo=function(e){return this.texData.get(e)},t.prototype.getCPUBackend=function(){return c().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=ze.findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=128),null!=this.getCPUBackend()&&e.every((function(e){return null==n.texData.get(e.dataId).texture&&_(e.shape)<t}))},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.complex=function(e,t){var n=this.makeOutput(e.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:ze.keep(e.clone()),imag:ze.keep(t.clone())},n},t.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},t.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},t.prototype.slice=function(e,t,n){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.slice(e,t,n);if(0===_(n))return _n([],n,e.dtype);var r=this.texData.get(e.dataId).isPacked,i=$i(e.shape,t,n);if(r||!i){var a=c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new $s(n):new Ws(n),o=a.getCustomSetupFunc(t);return this.compileAndRun(a,[e],null,o)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,t,n)},t.prototype.shallowSlice=function(e,t,n){var r=this.texData.get(e.dataId),i=this.makeOutput(n,e.dtype),a=this.texData.get(i.dataId);Object.assign(a,r),a.shape=n,a.dtype=e.dtype;var o=Hi(t,e.strides);r.slice&&(o+=r.slice.flatOffset),a.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),i},t.prototype.stridedSlice=function(e,t,n,r){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.stridedSlice(e,t,n,r);var i=qi(t,n,r);if(i.some((function(e){return 0===e})))return _n([],i);var a=new Hs(t,r,i);return this.compileAndRun(a,[e])},t.prototype.reverse=function(e,t){var n=c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ls(e.shape,t):new Ps(e.shape,t);return this.compileAndRun(n,[e])},t.prototype.concat=function(e,t){if("complex64"===e[0].dtype){var n=e.map((function(e){return kn(e)})),r=e.map((function(e){return Dn(e)}));return An(this.concat(n,t),this.concat(r,t))}if(this.shouldExecuteOnCPU(e))return this.cpuBackend.concat(e,t);if(1===e.length)return e[0];if(e.length>c().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(e.length/2),a=this.concat(e.slice(0,i),t),o=this.concat(e.slice(i),t);return this.concat([a,o],t)}if(c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].rank>1){var s=new So(e.map((function(e){return e.shape})),t);return this.compileAndRun(s,e)}var u=Sn(e.map((function(e){return e.shape})),t),l=e.map((function(e){return e.as2D(-1,_(e.shape.slice(t)))})),f=new Co(l.map((function(e){return e.shape})));return this.compileAndRun(f,l).reshape(u)},t.prototype.neg=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.neg(e);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,ru,e.dtype);var t=new Js(e.shape,ru);return this.compileAndRun(t,[e])},t.prototype.batchMatMul=function(e,t,n,r){var i=n?e.shape[2]:e.shape[1],a=r?t.shape[1]:t.shape[2],o=n?e.shape[1]:e.shape[2],s=e.shape[0];if((1===i||1===a)&&o>1e3){n&&(e=ra(e,[0,2,1])),r&&(t=ra(t,[0,2,1]));var u=1===a?e:e.as3D(s,o,1),c=1===a?2:1,l=1===a?t.as3D(s,1,o):t;return this.multiply(u,l).sum(c,!0)}var f=De(e.dtype,t.dtype),p=new Cs(e.shape,[s,i,a],n,r);return this.compileAndRun(p,[e,t],f)},t.prototype.fusedBatchMatMul=function(e){var t=e.a,n=e.b,r=e.transposeA,i=e.transposeB,a=e.bias,o=e.activation,s=e.preluActivationWeights,u=r?t.shape[2]:t.shape[1],c=i?n.shape[1]:n.shape[2],l=t.shape[0],f=De(t.dtype,n.dtype),p=null!=a,h=null!=s,d=o?mu(o,!0):null,m=new Cs(t.shape,[l,u,c],r,i,p,d,h),g=[t,n];return a&&g.push(a),s&&g.push(s),this.compileAndRun(m,g,f)},t.prototype.multiply=function(e,t){if("complex64"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),i=new fo("return areal * breal - aimag * bimag;",e.shape,t.shape),a=new fo("return areal * bimag + aimag * breal;",e.shape,t.shape),o=[this.makeComplexComponentTensorInfo(e,n.complexTensors.real),this.makeComplexComponentTensorInfo(e,n.complexTensors.imag),this.makeComplexComponentTensorInfo(t,r.complexTensors.real),this.makeComplexComponentTensorInfo(t,r.complexTensors.imag)],s=this.compileAndRun(i,o),u=this.compileAndRun(a,o),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.multiply(e,t);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,mo,e.dtype);var f=new vo(mo,e.shape,t.shape);return this.compileAndRun(f,[e,t],e.dtype)},t.prototype.batchNormalization=function(e,t,n,r,i,a){var o=[e,t,n],s=null;null!=a&&(s=a.shape,o.push(a));var u=null;if(null!=i&&(u=i.shape,o.push(i)),c().getBool("WEBGL_PACK_NORMALIZATION")){var l=new lo(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,o)}var f=new co(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(f,o)},t.prototype.localResponseNormalization4D=function(e,t,n,r,i){var a=c().getBool("WEBGL_PACK_NORMALIZATION")?new xs(e.shape,t,n,r,i):new ys(e.shape,t,n,r,i);return this.compileAndRun(a,[e])},t.prototype.LRNGrad=function(e,t,n,r,i,a,o){var s=new bs(t.shape,r,i,a,o);return this.compileAndRun(s,[t,n,e])},t.prototype.tile=function(e,t){if("string"===e.dtype){var n=this.readSync(e.dataId).map((function(e){return se(e)}));return Ba(Zn(e.shape,e.dtype,n),t)}var r=new Ys(e.shape,t);return this.compileAndRun(r,[e])},t.prototype.pad=function(e,t,n){var r=c().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ds(e.shape,t,n):new ks(e.shape,t,n);return this.compileAndRun(r,[e])},t.prototype.gather=function(e,t,n){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.gather(e,t,n);var r=new Xo(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},t.prototype.batchToSpaceND=function(e,t,n){N(e.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=t.reduce((function(e,t){return e*t})),i=fr(e.shape,t,r),a=pr(i.length,t.length),o=hr(e.shape,t,r),s=dr(n,t.length),u=mr(o,n,t.length);return ra(e.reshape(i),a).reshape(o).slice(s,u)},t.prototype.spaceToBatchND=function(e,t,n){N(e.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=t.reduce((function(e,t){return e*t})),i=[[0,0]];i.push.apply(i,n);for(var a=1+t.length;a<e.shape.length;++a)i.push([0,0]);var o=e.pad(i),s=fr(o.shape,t,r,!1),u=pr(s.length,t.length,!1),c=hr(o.shape,t,r,!1);return ra(o.reshape(s),u).reshape(c)},t.prototype.reduce=function(e,t,n){var r=e.shape[0],i=e.shape[1],a=Ri(i),o=new Ts({windowSize:a,inSize:i,batchSize:r},t),s=this.compileAndRun(o,[e],n);return 1===s.shape[1]?s:this.reduce(s,t,n)},t.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],i=e.shape[1];null!=n&&(r=n.shape[0],i=n.shape[1]);var a=Ri(i),o=new Ua({windowSize:a,inSize:i,batchSize:r},t,null==n),s=[e];null!=n&&s.push(n);var u=this.compileAndRun(o,s,"int32");return 1===u.shape[1]?u:this.argReduce(e,t,u)},t.prototype.argReducePacked=function(e,t,n){void 0===n&&(n=null);var r=null!=n?n.shape:e.shape,i=Ri(r[r.length-1]),a=new oo(r,i,t,null==n),o=null==n?[e]:[e,n],s=this.compileAndRun(a,o,"int32");return s.rank===e.rank?this.argReducePacked(e,t,s):s},t.prototype.sum=function(e,t){bn("sum",t,e.rank);var n=vn(e.shape,t),r=n[0],i=_(n[1]),a=e.as2D(-1,i),o=_e(e.dtype);return this.reduce(a,"sum",o).reshape(r)},t.prototype.prod=function(e,t){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.prod(e,t);var n=vn(e.shape,t),r=n[0],i=_(n[1]),a=e.as2D(-1,i),o=_e(e.dtype);return this.reduce(a,"prod",o).reshape(r)},t.prototype.unsortedSegmentSum=function(e,t,n){var r=0,i=xn([r],e.rank),a=e;null!=i&&(a=ra(e,i),r=En(1,e.rank)[0]);var o=function(e,t,n){for(var r=[],i=e.length,a=0;a<i;a++)a!==t?r.push(e[a]):r.push(n);return r}(a.shape,r,n),s=_([a.shape[r]]),u=a.as2D(-1,s),c=_e(e.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",t,c,n).reshape(o);return null!=i&&(l=ra(l,wn(i))),l},t.prototype.segOpCompute=function(e,t,n,r,i){var a=e.shape[0],o=e.shape[1],s=function(e,t){var n,r=!1;for(e<=30?(n=e,r=!0):n=Z(e,Math.floor(Math.sqrt(e)));!r;)n>t||n===e?r=!0:n=Z(e,n+1);return n}(o,i),u=new Us({windowSize:s,inSize:o,batchSize:a,numSegments:i},t),c=this.compileAndRun(u,[e,n],r);return c.shape[1]===i?c:(n=Wn(0,i).tile([o/s]),this.segOpCompute(c,t,n,r,i))},t.prototype.argMinMaxReduce=function(e,t,n){var r=[t];if(bn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,e.rank),!c().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var i=vn(e.shape,r),a=i[0],o=_(i[1]),s=e.as2D(-1,o);return this.argReduce(s,n).reshape(a)}return this.argReducePacked(e,n)},t.prototype.argMin=function(e,t){return this.argMinMaxReduce(e,t,"min")},t.prototype.argMax=function(e,t){return this.argMinMaxReduce(e,t,"max")},t.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);var i=new zo(e.shape,n,r);return this.compileAndRun(i,[e])},t.prototype.equal=function(e,t){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(equal(a, b));\n","bool");var n=new vo("return float(a == b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.notEqual=function(e,t){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(notEqual(a, b));\n","bool");var n=new vo("return float(a != b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.less=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.less(e,t);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThan(a, b));\n","bool");var n=new vo("return float(a < b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.lessEqual=function(e,t){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new vo("return float(a <= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.greater=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.greater(e,t);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new vo("return float(a > b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.greaterEqual=function(e,t){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new vo("return float(a >= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.logicalNot=function(e){var t=new Js(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},t.prototype.logicalAnd=function(e,t){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new vo("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.logicalOr=function(e,t){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new vo("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.select=function(e,t,n){var r=new qs(e.rank,t.shape,t.rank);return this.compileAndRun(r,[e,t,n],De(t.dtype,n.dtype))},t.prototype.where=function(e){ln("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return Pa(e.shape,t)},t.prototype.topk=function(e,t,n){return za(e.dataSync(),e.shape,e.dtype,t)},t.prototype.min=function(e,t){bn("min",t,e.rank);var n=vn(e.shape,t),r=n[0],i=_(n[1]),a=e.as2D(-1,i);return this.reduce(a,"min",a.dtype).reshape(r)},t.prototype.minimum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.minimum(e,t);var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bo("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new vo("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.mod=function(e,t){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bo("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new vo("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.max=function(e,t){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.max(e,t);bn("max",t,e.rank);var n=vn(e.shape,t),r=n[0],i=_(n[1]),a=e.as2D(-1,i);return this.reduce(a,"max",a.dtype).reshape(r)},t.prototype.maximum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.maximum(e,t);var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bo("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new vo("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.all=function(e,t){bn("all",t,e.rank);var n=vn(e.shape,t),r=n[0],i=_(n[1]),a=e.as2D(-1,i);return this.reduce(a,"all",a.dtype).reshape(r)},t.prototype.any=function(e,t){bn("any",t,e.rank);var n=vn(e.shape,t),r=n[0],i=_(n[1]),a=e.as2D(-1,i);return this.reduce(a,"any",a.dtype).reshape(r)},t.prototype.floorDiv=function(e,t){if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new vo("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",e.shape,t.shape);return this.compileAndRun(n,[e,t],"int32")},t.prototype.add=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,po);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.add(e,t);var n=De(e.dtype,t.dtype);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,po,n);var r=new vo(po,e.shape,t.shape);return this.compileAndRun(r,[e,t],n)},t.prototype.packedUnaryOp=function(e,t,n){var r=new pu(e.shape,t);return this.compileAndRun(r,[e],n)},t.prototype.packedBinaryOp=function(e,t,n,r,i){void 0===i&&(i=!1);var a=new bo(n,e.shape,t.shape,i);return this.compileAndRun(a,[e,t],r)},t.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,i=this.texData.get(e.dataId),a=this.texData.get(t.dataId),o=[[i.complexTensors.real,a.complexTensors.real],[i.complexTensors.imag,a.complexTensors.imag]].map((function(i){var a=i[0],o=i[1],s=r.makeComplexComponentTensorInfo(e,a),u=r.makeComplexComponentTensorInfo(t,o),c=new vo(n,e.shape,t.shape);return r.compileAndRun(c,[s,u],De(a.dtype,o.dtype))})),s=o[0],u=o[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},t.prototype.makeComplexComponentTensorInfo=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},t.prototype.addN=function(e){if(1===e.length)return e[0];if(e.length>c().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var t=Math.floor(e.length/2),n=this.addN(e.slice(0,t)),r=this.addN(e.slice(t));return this.addN([n,r])}var i=e.map((function(e){return e.dtype})).reduce((function(e,t){return De(e,t)})),a=e.map((function(e){return e.shape})),o=c().getBool("WEBGL_PACK")?new ja(e[0].shape,a):new La(e[0].shape,a);return this.compileAndRun(o,e,i)},t.prototype.subtract=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,ho);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.subtract(e,t);var n=De(e.dtype,t.dtype);if(c().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,ho,e.dtype);var r=new vo(ho,e.shape,t.shape);return this.compileAndRun(r,[e,t],n)},t.prototype.pow=function(e,t){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bo("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new vo("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=De(e.dtype,t.dtype);return this.compileAndRun(n,[e,t],r)},t.prototype.ceil=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.ceil(e);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,iu,e.dtype);var t=new Js(e.shape,iu);return this.compileAndRun(t,[e])},t.prototype.floor=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.floor(e);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,au,e.dtype);var t=new Js(e.shape,au);return this.compileAndRun(t,[e])},t.prototype.sign=function(e){var t=new Js(e.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])},t.prototype.isNaN=function(e){var t=new Js(e.shape,"return float(isnan(x));");return this.compileAndRun(t,[e],"bool")},t.prototype.isInf=function(e){var t=new Js(e.shape,"return float(isinf(x));");return this.compileAndRun(t,[e],"bool")},t.prototype.isFinite=function(e){var t=new Js(e.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(t,[e],"bool")},t.prototype.round=function(e){var t=new Js(e.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(t,[e])},t.prototype.exp=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.exp(e);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,ou,e.dtype);var t=new Js(e.shape,ou);return this.compileAndRun(t,[e])},t.prototype.expm1=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.expm1(e);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,su,e.dtype);var t=new Js(e.shape,su);return this.compileAndRun(t,[e])},t.prototype.softmax=function(e,t){var n=z([t],e.shape),r=this.max(e,n),i=yn(r.shape,n),a=this.subtract(e,r.reshape(i)),o=this.exp(a),s=this.sum(o,n).reshape(i);return Oi(o,s)},t.prototype.log=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.log(e);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",e.dtype);var t=new Js(e.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(t,[e])},t.prototype.log1p=function(e){var t=new Js(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},t.prototype.sqrt=function(e){var t=new Js(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},t.prototype.rsqrt=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.rsqrt(e);var t=new Js(e.shape,"return inversesqrt(x);");return this.compileAndRun(t,[e])},t.prototype.reciprocal=function(e){var t=new Js(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},t.prototype.relu=function(e){var t;return t=c().getBool("WEBGL_PACK")?new pu(e.shape,cu):new Js(e.shape,eu),this.compileAndRun(t,[e])},t.prototype.relu6=function(e){var t;return t=c().getBool("WEBGL_PACK")?new pu(e.shape,lu):new Js(e.shape,tu),this.compileAndRun(t,[e])},t.prototype.prelu=function(e,t){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bo(yo,e.shape,t.shape):new vo(go,e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.elu=function(e){if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,fu,e.dtype);var t=new Js(e.shape,nu);return this.compileAndRun(t,[e])},t.prototype.eluDer=function(e,t){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bo("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",e.shape,t.shape):new vo("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.selu=function(e){var t=new Js(e.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(t,[e])},t.prototype.int=function(e){var t=new Js(e.shape,"return float(int(x));");return this.compileAndRun(t,[e],"int32")},t.prototype.clip=function(e,t,n){var r,i=(r=c().getBool("WEBGL_PACK_CLIP")?new wo(e.shape):new xo(e.shape)).getCustomSetupFunc(t,n);return this.compileAndRun(r,[e],null,i)},t.prototype.abs=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.abs(e);if(c().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,Qs,e.dtype);var t=new Js(e.shape,Qs);return this.compileAndRun(t,[e])},t.prototype.complexAbs=function(e){var t=this.texData.get(e.dataId),n=new Eo(e.shape),r=[this.makeComplexComponentTensorInfo(e,t.complexTensors.real),this.makeComplexComponentTensorInfo(e,t.complexTensors.imag)];return this.compileAndRun(n,r)},t.prototype.sigmoid=function(e){var t=new Js(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])},t.prototype.softplus=function(e){var t=new Js(e.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(t,[e])},t.prototype.sin=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(t,[e])},t.prototype.cos=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(t,[e])},t.prototype.tan=function(e){var t=new Js(e.shape,"return tan(x);");return this.compileAndRun(t,[e])},t.prototype.asin=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n");return this.compileAndRun(t,[e])},t.prototype.acos=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n");return this.compileAndRun(t,[e])},t.prototype.atan=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(t,[e])},t.prototype.atan2=function(e,t){var n=c().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new bo("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new vo("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.sinh=function(e){var t=new Js(e.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},t.prototype.cosh=function(e){var t=new Js(e.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},t.prototype.tanh=function(e){var t=new Js(e.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(t,[e])},t.prototype.asinh=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(t,[e])},t.prototype.acosh=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));");return this.compileAndRun(t,[e])},t.prototype.atanh=function(e){var t=new Js(e.shape,"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;");return this.compileAndRun(t,[e])},t.prototype.erf=function(e){var t=new Js(e.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(t,[e])},t.prototype.step=function(e,t){var n=new Js(e.shape,function(e){return void 0===e&&(e=0),Zs+"\n    return x > 0.0 ? 1.0 : float("+e+");\n  "}(t));return this.compileAndRun(n,[e])},t.prototype.conv2dByMatMul=function(e,t,n,r,i,a){var o=e.shape,s=this.texData.get(e.dataId),u=n.inChannels,l=o[0]*o[1]*o[2],f=n.outChannels,p="channelsLast"===n.dataFormat,h=(1===l||1===f)&&u>1e3,d=o[2]%2!=0&&!!s.isPacked;if(h||!c().getBool("WEBGL_LAZILY_UNPACK")||!c().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!d){var m=p?o[0]*o[1]*o[2]:o[0]*o[2]*o[3],g=this.reshape(e,[1,m,n.inChannels]),v=this.reshape(t,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:g,b:v,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),n.outShape)}var y=p?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),b={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},x=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,N(Mt(s.shape,b.shape),(function(){return"packed reshape "+s.shape+" to "+b.shape+" isn't free"}));var w=this.reshape(t,[1,n.inChannels,n.outChannels]),E=this.fusedBatchMatMul({a:b,b:w,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),C=this.texData.get(E.dataId);return N(C.isPacked,(function(){return"batchMatMul result is expected to be packed"})),s.shape=x,C.shape=n.outShape,ze.makeTensorFromDataId(E.dataId,n.outShape,E.dtype)},t.prototype.conv2dWithIm2Row=function(e,t,n,r,i,a){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,f="channelsLast"===n.dataFormat,p=o*s*u,h=l*c,d=[p,h],m=e.squeeze([0]),g=t.reshape([1,p,-1]),v=new vs(d,m.shape,n),y=this.compileAndRun(v,[m]).reshape([1,d[0],d[1]]),b=null!=r,x=null!=a,w=i?mu(i,!0):null,E=new Cs(y.shape,[1,h,n.outChannels],!0,!1,b,w,x),C=[y,g];r&&C.push(r),x&&C.push(a);var S=this.compileAndRun(E,C);return f?S.reshape([1,l,c,n.outChannels]):S.reshape([1,n.outChannels,l,c])},t.prototype.fusedConv2d=function(e){var t=e.input,n=e.filter,r=e.convInfo,i=e.bias,a=e.activation,o=e.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(t,n,r,i,a,o);if(c().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,n,r,i,a,o);var s=null!=i,u=null!=o,l=a?mu(a,!1):null,f=new Oo(r,s,l,u),p=[t,n];return i&&p.push(i),o&&p.push(o),this.compileAndRun(f,p)},t.prototype.conv2d=function(e,t,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(e,t,n);if(c().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,n);var r=new Oo(n);return this.compileAndRun(r,[e,t])},t.prototype.conv2dDerInput=function(e,t,n){var r=new ko(n);return this.compileAndRun(r,[e,t])},t.prototype.conv2dDerFilter=function(e,t,n){var r=new Ao(n);return this.compileAndRun(r,[e,t])},t.prototype.fusedDepthwiseConv2D=function(e){var t,n=e.input,r=e.filter,i=e.convInfo,a=e.bias,o=e.activation,s=e.preluActivationWeights,u=c().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels==1,l=o?mu(o,u):null,f=[n,r],p=null!=a,h=null!=s;return p&&f.push(a),h&&f.push(s),u?(t=new Ro(i,p,l,h),this.compileAndRun(t,f)):(t=new Fo(i,p,l,h),this.compileAndRun(t,f))},t.prototype.depthwiseConv2D=function(e,t,n){var r;return c().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new Ro(n),this.compileAndRun(r,[e,t])):(r=new Fo(n),this.compileAndRun(r,[e,t]))},t.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new To(n);return this.compileAndRun(r,[e,t])},t.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new Mo(n);return this.compileAndRun(r,[e,t])},t.prototype.conv3d=function(e,t,n){var r=new Io(n);return this.compileAndRun(r,[e,t])},t.prototype.conv3dDerInput=function(e,t,n){var r=new _o(n);return this.compileAndRun(r,[e,t])},t.prototype.conv3dDerFilter=function(e,t,n){var r=new Do(n);return this.compileAndRun(r,[e,t])},t.prototype.maxPool=function(e,t){var n=new _s(t,"max",!1);return this.compileAndRun(n,[e])},t.prototype.avgPool=function(e,t){var n=new _s(t,"avg",!1);return this.compileAndRun(n,[e],"float32")},t.prototype.maxPoolBackprop=function(e,t,n,r){var i=new _s(r,"max",!0),a=this.compileAndRun(i,[t]),o=new ws(r),s=this.compileAndRun(o,[e,a],t.dtype);return a.dispose(),s},t.prototype.avgPoolBackprop=function(e,t,n){var r=new so(n);return this.compileAndRun(r,[e],t.dtype)},t.prototype.cast=function(e,t){return ba(e,t,this)},t.prototype.unstack=function(e,t){for(var n=e.shape[t],r=new Array(e.rank-1),i=0,a=0;a<e.rank;a++)a!==t&&(r[i++]=e.shape[a]);var o=new Array(e.rank).fill(0),s=e.shape.slice();s[t]=1;var u=new Array(n);for(a=0;a<u.length;a++)o[t]=a,u[a]=this.slice(e,o,s).reshape(r);return u},t.prototype.avgPool3d=function(e,t){var n=new Ms(t,"avg",!1);return this.compileAndRun(n,[e],"float32")},t.prototype.avgPool3dBackprop=function(e,t,n){var r=new uo(n);return this.compileAndRun(r,[e],t.dtype)},t.prototype.maxPool3d=function(e,t){var n=new Ms(t,"max",!1);return this.compileAndRun(n,[e],"float32")},t.prototype.maxPool3dBackprop=function(e,t,n,r){var i=new Ms(r,"max",!0),a=this.compileAndRun(i,[t]),o=new Es(r),s=this.compileAndRun(o,[e,a],t.dtype);return a.dispose(),s},t.prototype.reshape=function(e,t){var n=this.texData.get(e.dataId);if(n.isPacked&&!Mt(e.shape,t)&&(null===n.texture||!Mt(n.shape,t))){var r=this.packedReshape(e,t);return ze.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return xa(e,t)},t.prototype.resizeBilinear=function(e,t,n,r){var i=c().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Rs(e.shape,t,n,r):new Fs(e.shape,t,n,r);return this.compileAndRun(i,[e],"float32")},t.prototype.resizeBilinearBackprop=function(e,t,n){var r=new Is(e,t,n);return this.compileAndRun(r,[e])},t.prototype.resizeNearestNeighbor=function(e,t,n,r){var i=new zs(e.shape,t,n,r);return this.compileAndRun(i,[e])},t.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new Bs(e,t,n);return this.compileAndRun(r,[e])},t.prototype.multinomial=function(e,t,n,r){var i=t?e:ta(e),a=i.shape[0],o=i.shape[1],s=new Ss(a,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],"int32",u)},t.prototype.oneHot=function(e,t,n,r){var i=new Ns(e.size,t,n,r);return this.compileAndRun(i,[e])},t.prototype.diag=function(e){var t=new qo(e.size);return this.compileAndRun(t,[e])},t.prototype.nonMaxSuppression=function(e,t,n,r,i){return ln("tf.nonMaxSuppression() in webgl locks the UI thread. 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r=hn(e,"images","resizeNearestNeighbor");N(3===r.rank||4===r.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."})),N(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+t+"."})),N("float32"===r.dtype||"int32"===r.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"}));var i=r,a=!1;3===r.rank&&(a=!0,i=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var o=t[0],s=t[1],u=ze.runKernelFunc((function(e,t){return t([i]),e.resizeNearestNeighbor(i,o,s,n)}),{batchImages:i},(function(e,t){return{batchImages:function(){return ze.runKernelFunc((function(r){return r.resizeNearestNeighborBackprop(e,t[0],n)}),{})}}}));return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),Af=Nn({nonMaxSuppression_:function(e,t,n,r,i){void 0===r&&(r=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY);var 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C,S,A=h.shape.slice(0,-2).concat([v,y]),k=a?h.as3D(w,m,v):h.as3D(w,v,m),D=s?d.as3D(E,y,g):d.as3D(E,g,y);null!=u&&Fr(A,(C=Me(C=hn(u,"bias","fused matMul"),h)[0]).shape),null!=f&&(S=hn(f,"prelu weights","fused matMul"));var T={a:k,b:D};null!=u&&(T.bias=C),null!=f&&(T.preluActivationWeights=S);var O=[k,D];return ze.runKernelFunc((function(e,t){var n=e.fusedBatchMatMul({a:k,b:D,transposeA:a,transposeB:s,bias:C,activation:l,preluActivationWeights:S});return t([k,D,n]),n}),T,(function(e,t){var n=t[0],r=t[1],i=t[2],o=Tf(e,i,l),c={};return null!=u&&(c={bias:function(){return Of(C,o)}}),a||s?!a&&s?Object.assign({a:function(){return o.matMul(r,!1,!1)},b:function(){return o.matMul(n,!0,!1)}},c):a&&!s?Object.assign({a:function(){return r.matMul(o,!1,!0)},b:function(){return n.matMul(o,!1,!1)}},c):Object.assign({a:function(){return r.matMul(o,!0,!0)},b:function(){return o.matMul(n,!0,!0)}},c):Object.assign({a:function(){return o.matMul(r,!1,!0)},b:function(){return 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o},t.prototype.where=function(e){Lf([e],"where");var t=this.readSync(e.dataId);return Pa(e.shape,t)},t.prototype.topk=function(e,t,n){return Lf(e,"topk"),za(this.readSync(e.dataId),e.shape,e.dtype,t)},t.prototype.min=function(e,t){Lf(e,"min"),bn("min",t,e.rank);for(var n=vn(e.shape,t),r=n[0],i=n[1],a=jn(r,e.dtype),o=_(i),s=this.readSync(a.dataId),u=this.readSync(e.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],p=0;p<o;++p){var h=u[l+p];h<f&&(f=h)}s[c]=f}return a},t.prototype.minimum=function(e,t){return Lf([e,t],"minimum"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){return Math.min(e,t)}))},t.prototype.mod=function(e,t){return Lf([e,t],"mod"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t}))},t.prototype.max=function(e,t){Lf(e,"max"),bn("max",t,e.rank);for(var n=vn(e.shape,t),r=n[0],i=n[1],a=jn(r,e.dtype),o=_(i),s=this.readSync(a.dataId),u=this.readSync(e.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],p=0;p<o;++p){var h=u[l+p];h>f&&(f=h)}s[c]=f}return a},t.prototype.maximum=function(e,t){return Lf([e,t],"maximum"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){return Math.max(e,t)}))},t.prototype.all=function(e,t){Lf(e,"all"),bn("all",t,e.rank);for(var n=vn(e.shape,t),r=n[0],i=n[1],a=jn(r,e.dtype),o=_(i),s=this.readSync(a.dataId),u=this.readSync(e.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],p=0;p<o;++p){var h=u[l+p];f=f&&h}s[c]=f}return a},t.prototype.any=function(e,t){Lf(e,"any"),bn("any",t,e.rank);for(var n=vn(e.shape,t),r=n[0],i=n[1],a=jn(r,e.dtype),o=_(i),s=this.readSync(a.dataId),u=this.readSync(e.dataId),c=0;c<s.length;++c){for(var l=c*o,f=u[l],p=0;p<o;++p){var h=u[l+p];f=f||h}s[c]=f}return a},t.prototype.squaredDifference=function(e,t){return Lf([e,t],"squaredDifference"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){var n=e-t;return n*n}))},t.prototype.ceil=function(e){Lf(e,"ceil");for(var t=this.readSync(e.dataId),n=new 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this.makeOutput(n,e.shape,"float32")},t.prototype.log1p=function(e){Lf(e,"log1p");for(var t=this.readSync(e.dataId),n=new Float32Array(t.length),r=0;r<t.length;++r){var i=t[r];n[r]=Math.log1p(i)}return this.makeOutput(n,e.shape,"float32")},t.prototype.sqrt=function(e){Lf(e,"sqrt");for(var t=this.readSync(e.dataId),n=new Float32Array(t.length),r=0;r<t.length;++r){var i=t[r];n[r]=Math.sqrt(i)}return this.makeOutput(n,e.shape,"float32")},t.prototype.rsqrt=function(e){Lf(e,"rsqrt");for(var t=this.readSync(e.dataId),n=new Float32Array(t.length),r=0;r<t.length;++r){var i=t[r];n[r]=1/Math.sqrt(i)}return this.makeOutput(n,e.shape,"float32")},t.prototype.reciprocal=function(e){Lf(e,"reciprocal");for(var t=this.readSync(e.dataId),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return this.makeOutput(n,e.shape,"float32")},t.prototype.linear=function(e){return e},t.prototype.relu=function(e){Lf(e,"relu");for(var t=jn(e.shape,e.dtype),n=this.readSync(t.dataId),r=this.readSync(e.dataId),i=0;i<r.length;++i)n[i]=Math.max(0,r[i]);return t},t.prototype.relu6=function(e){Lf(e,"relu");for(var t=jn(e.shape,e.dtype),n=this.readSync(t.dataId),r=this.readSync(e.dataId),i=0;i<r.length;++i)n[i]=Math.min(Math.max(0,r[i]),6);return t},t.prototype.prelu=function(e,t){return Lf([e,t],"prelu"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){return e<0?t*e:e}))},t.prototype.elu=function(e){Lf(e,"elu");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r){var i=n[r];t[r]=i>=0?i:Math.exp(i)-1}return this.makeOutput(t,e.shape,"float32")},t.prototype.eluDer=function(e,t){Lf([e,t],"eluDer");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),i=this.readSync(e.dataId),a=0;a<r.length;++a){var o=r[a];n[a]=o>=1?i[a]:i[a]*(o+1)}return this.makeOutput(n,t.shape,"float32")},t.prototype.selu=function(e){Lf(e,"selu");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r){var i=n[r];t[r]=i>=0?1.0507009873554805*i:1.7580993408473768*(Math.exp(i)-1)}return this.makeOutput(t,e.shape,"float32")},t.prototype.clip=function(e,t,n){Lf(e,"clip");for(var r=new Float32Array(e.size),i=this.readSync(e.dataId),a=0;a<i.length;++a){var o=i[a];r[a]=o>n?n:o<t?t:o}return this.makeOutput(r,e.shape,"float32")},t.prototype.abs=function(e){for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.complexAbs=function(e){for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<e.size;++r){var i=n[2*r],a=n[2*r+1];t[r]=Math.hypot(i,a)}return this.makeOutput(t,e.shape,"float32")},t.prototype.int=function(e){Lf(e,"int");for(var t=new Int32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=n[r];return this.makeOutput(t,e.shape,"int32")},t.prototype.sigmoid=function(e){Lf(e,"sigmoid");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(t,e.shape,"float32")},t.prototype.softplus=function(e){Lf(e,"softplus");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=this.readSync(e.dataId),i=0;i<r.length;++i){var a,o=r[i]>-t,s=r[i]<t,u=Math.exp(r[i]);a=s?u:o?r[i]:Math.log(1+u),n[i]=a}return this.makeOutput(n,e.shape,"float32")},t.prototype.sin=function(e){Lf(e,"sin");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.cos=function(e){Lf(e,"cos");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.tan=function(e){Lf(e,"tan");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.asin=function(e){Lf(e,"asin");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.acos=function(e){Lf(e,"acos");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.atan=function(e){Lf(e,"atan");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.atan2=function(e,t){return Lf([e,t],"atan2"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){return Math.atan2(e,t)}))},t.prototype.sinh=function(e){Lf(e,"sinh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.cosh=function(e){Lf(e,"cosh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.tanh=function(e){Lf(e,"tanh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=O(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.asinh=function(e){Lf(e,"asinh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.acosh=function(e){Lf(e,"acosh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.atanh=function(e){Lf(e,"atanh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.erf=function(e){Lf(e,"erf");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r){var i=Math.sign(n[r]),a=Math.abs(n[r]),o=1/(1+.3275911*a);t[r]=i*(1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-a*a))}return this.makeOutput(t,e.shape,"float32")},t.prototype.step=function(e,t){void 0===t&&(t=0),Lf(e,"step");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),i=0;i<r.length;++i){var a=r[i];isNaN(a)?n[i]=NaN:n[i]=a>0?1:t}return this.makeOutput(n,e.shape,"float32")},t.prototype.fusedConv2d=function(e){var t=e.input,n=e.filter,r=e.convInfo,i=e.bias,a=e.activation,o=e.preluActivationWeights,s=this.conv2d(t,n,r);return i&&(s=this.add(s,i)),a&&(s=qf(this,s,a,o)),s},t.prototype.conv2d=function(e,t,n){Lf([e,t],"conv2d");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=Zn(n.outShape,e.dtype),f=e.strides[0],p=c?e.strides[1]:e.strides[2],h=c?e.strides[2]:1,d=c?1:e.strides[1],m=l.strides[0],g=c?l.strides[1]:l.strides[2],v=c?l.strides[2]:1,y=c?1:l.strides[1],b=this.readSync(e.dataId),x=this.readSync(t.dataId),w=l.values,E=0;E<n.batchSize;++E)for(var C=E*f,S=E*m,N=0;N<n.outHeight;++N)for(var A=S+N*g,k=N*n.strideHeight-u,D=0;D<r;D++){var _=k+D*a;if(!(_<0||_>=n.inHeight))for(var M=D*t.strides[0],T=C+_*p,O=0;O<n.outWidth;++O)for(var I=A+O*v,F=O*n.strideWidth-s,R=0;R<i;R++){var B=F+R*o;if(!(B<0||B>=n.inWidth))for(var z=T+B*h,P=M+R*t.strides[1],L=0;L<n.inChannels;++L){for(var j=b[z+L*d],U=0;U<n.outChannels;++U)w[I+U*y]+=j*x[P+U];P+=n.outChannels}}}return l.toTensor()},t.prototype.conv3d=function(e,t,n){for(var r=n.filterDepth,i=n.filterHeight,a=n.filterWidth,o=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,f=n.padInfo.top,p=Zn(n.outShape,e.dtype),h=this.readSync(e.dataId),d=this.readSync(t.dataId),m=p.values,g=0;g<n.batchSize;++g)for(var v=g*e.strides[0],y=g*p.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*p.strides[1],w=b*n.strideDepth-c,E=0;E<r;E++){var C=w+E*o;if(!(C<0||C>=n.inDepth))for(var S=E*t.strides[0],N=v+C*e.strides[1],A=0;A<n.outHeight;++A)for(var k=x+A*p.strides[2],D=A*n.strideHeight-f,_=0;_<i;_++){var M=D+_*s;if(!(M<0||M>=n.inHeight))for(var T=S+_*t.strides[1],O=N+M*e.strides[2],I=0;I<n.outWidth;++I)for(var F=k+I*n.outChannels,R=I*n.strideWidth-l,B=0;B<a;B++){var z=R+B*u;if(!(z<0||z>=n.inWidth))for(var P=T+B*t.strides[2],L=O+z*n.inChannels,j=P,U=0;U<n.inChannels;++U){for(var q=h[L+U],W=0;W<n.outChannels;++W)m[F+W]+=q*d[j+W];j+=n.outChannels}}}}return p.toTensor()},t.prototype.conv2dDerInput=function(e,t,n){Lf([e,t],"conv2dDerInput");for(var r=Zn(n.inShape,"float32"),i=r.values,a=this.readSync(e.dataId),o=this.readSync(t.dataId),s=t.strides,u=s[0],c=s[1],l=s[2],f=n.batchSize,p=n.filterHeight,h=n.filterWidth,d=n.inChannels,m=n.inHeight,g=n.inWidth,v=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,E=n.dataFormat,C=p-1-n.padInfo.top,S=h-1-n.padInfo.left,N="channelsLast"===E,A=r.strides[0],k=N?r.strides[1]:r.strides[2],D=N?r.strides[2]:1,_=N?1:r.strides[1],M=e.strides[0],T=N?e.strides[1]:e.strides[2],O=N?e.strides[2]:1,I=N?1:e.strides[1],F=0;F<f;++F)for(var R=0;R<d;++R)for(var B=0;B<m;++B)for(var z=B-C,P=Math.max(0,Math.ceil(z/x)),L=Math.min(y,(p+z)/x),j=0;j<g;++j){for(var U=j-S,q=Math.max(0,Math.ceil(U/w)),W=Math.min(b,(h+U)/w),V=0,$=P;$<L;++$)for(var H=$*x-z,G=q;G<W;++G)for(var K=M*F+T*$+O*G,X=u*(p-1-H)+c*(h-1-(G*w-U))+l*R,Y=0;Y<v;++Y)V+=a[K+I*Y]*o[X+Y];i[A*F+k*B+D*j+_*R]=V}return r.toTensor()},t.prototype.conv3dDerInput=function(e,t,n){for(var r=Zn(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(e.dataId),f=e.strides,p=f[0],h=f[1],d=f[2],m=f[3],g=this.readSync(t.dataId),v=t.strides,y=v[0],b=v[1],x=v[2],w=v[3],E=n.batchSize,C=n.filterDepth,S=n.filterHeight,N=n.filterWidth,A=n.inChannels,k=n.inDepth,D=n.inHeight,_=n.inWidth,M=n.outChannels,T=n.outDepth,O=n.outHeight,I=n.outWidth,F=n.strideDepth,R=n.strideHeight,B=n.strideWidth,z=C-1-n.padInfo.front,P=S-1-n.padInfo.top,L=N-1-n.padInfo.left,j=0;j<E;++j)for(var U=0;U<A;++U)for(var q=0;q<k;++q)for(var W=q-z,V=Math.max(0,Math.ceil(W/F)),$=Math.min(T,(C+W)/F),H=0;H<D;++H)for(var G=H-P,K=Math.max(0,Math.ceil(G/R)),X=Math.min(O,(S+G)/R),Y=0;Y<_;++Y){for(var J=Y-L,Z=Math.max(0,Math.ceil(J/B)),Q=Math.min(I,(N+J)/B),ee=0,te=V;te<$;++te)for(var ne=te*F-W,re=K;re<X;++re)for(var ie=re*R-G,ae=Z;ae<Q;++ae)for(var oe=p*j+h*te+d*re+m*ae,se=y*(C-1-ne)+b*(S-1-ie)+x*(N-1-(ae*B-J))+w*U,ue=0;ue<M;++ue)ee+=l[oe+ue]*g[se+ue];i[o*j+s*q+u*H+c*Y+U]=ee}return r.toTensor()},t.prototype.conv2dDerFilter=function(e,t,n){Lf([e,t],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=Zn(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,f=this.bufferSync(e),p=this.bufferSync(t),h=0;h<a;++h)for(var d=Math.max(0,Math.ceil((l-h)/r)),m=Math.min(n.outHeight,(n.inHeight+l-h)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((c-g)/i)),y=Math.min(n.outWidth,(n.inWidth+c-g)/i),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,E=0;E<n.batchSize;++E)for(var C=d;C<m;++C)for(var S=h+C*r-l,N=v;N<y;++N){var A=g+N*i-c;w+=s?f.get(E,S,A,b)*p.get(E,C,N,x):f.get(E,b,S,A)*p.get(E,x,C,N)}u.set(w,h,g,b,x)}return u.toTensor()},t.prototype.conv3dDerFilter=function(e,t,n){for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=Zn(n.filterShape,"float32"),l=c.values,f=c.strides,p=f[0],h=f[1],d=f[2],m=f[3],g=this.readSync(t.dataId),v=t.strides,y=v[0],b=v[1],x=v[2],w=v[3],E=this.readSync(e.dataId),C=e.strides,S=C[0],N=C[1],A=C[2],k=C[3],D=n.padInfo.front,_=n.padInfo.left,M=n.padInfo.top,T=0;T<o;++T)for(var O=Math.max(0,Math.ceil((D-T)/r)),I=Math.min(n.outDepth,(n.inDepth+D-T)/r),F=T*p,R=0;R<s;++R)for(var B=Math.max(0,Math.ceil((M-R)/i)),z=Math.min(n.outHeight,(n.inHeight+M-R)/i),P=R*h+F,L=0;L<u;++L)for(var j=Math.max(0,Math.ceil((_-L)/a)),U=Math.min(n.outWidth,(n.inWidth+_-L)/a),q=L*d+P,W=0;W<n.inChannels;++W)for(var V=W*m+q,$=0;$<n.outChannels;++$){for(var H=0,G=0;G<n.batchSize;++G)for(var K=G*S,X=G*y,Y=O;Y<I;++Y)for(var J=(T+Y*r-D)*N+K,Z=Y*b+X,Q=B;Q<z;++Q)for(var ee=(R+Q*i-M)*A+J,te=Q*x+Z,ne=j;ne<U;++ne){var re=ne*w+te;H+=E[(L+ne*a-_)*k+ee+W]*g[re+$]}l[V+$]=H}return c.toTensor()},t.prototype.fusedDepthwiseConv2D=function(e){var t=e.input,n=e.filter,r=e.convInfo,i=e.bias,a=e.activation,o=e.preluActivationWeights,s=this.depthwiseConv2D(t,n,r);return i&&(s=this.add(s,i)),a&&(s=qf(this,s,a,o)),s},t.prototype.depthwiseConv2D=function(e,t,n){Lf([e,t],"depthwiseConv2D");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=Zn(n.outShape,e.dtype),f=this.readSync(e.dataId),p=this.readSync(t.dataId),h=l.values,d=0;d<n.batchSize;++d)for(var m=d*e.strides[0],g=d*l.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*l.strides[1],b=v*n.strideHeight-s,x=0;x<r;++x){var w=b+x*a;if(!(w<0||w>=n.inHeight))for(var E=x*t.strides[0],C=m+w*e.strides[1],S=0;S<n.outWidth;++S)for(var N=y+S*l.strides[2],A=S*n.strideWidth-u,k=0;k<i;++k){var D=A+k*o;if(!(D<0||D>=n.inWidth))for(var _=E+k*t.strides[1],M=C+D*n.inChannels,T=N,O=_,I=0;I<n.inChannels;++I){for(var F=f[M+I],R=0;R<c;++R)h[T+R]+=F*p[O+R];T+=c,O+=c}}}return l.toTensor()},t.prototype.depthwiseConv2DDerInput=function(e,t,n){Lf([e,t],"depthwiseConv2DDerInput");for(var r=Zn(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=this.readSync(e.dataId),l=e.strides,f=l[0],p=l[1],h=l[2],d=this.readSync(t.dataId),m=t.strides,g=m[0],v=m[1],y=m[2],b=n.batchSize,x=n.filterHeight,w=n.filterWidth,E=n.inChannels,C=n.inHeight,S=n.inWidth,N=n.outChannels,A=n.outHeight,k=n.outWidth,D=n.strideHeight,_=n.strideWidth,M=x-1-n.padInfo.top,T=w-1-n.padInfo.left,O=N/E,I=0;I<b;++I)for(var F=0;F<E;++F)for(var R=0;R<C;++R)for(var B=R-M,z=Math.max(0,Math.ceil(B/D)),P=Math.min(A,(x+B)/D),L=0;L<S;++L){for(var j=L-T,U=Math.max(0,Math.ceil(j/_)),q=Math.min(k,(w+j)/_),W=0,V=z;V<P;++V)for(var $=V*D-B,H=U;H<q;++H)for(var G=f*I+p*V+h*H,K=g*(x-1-$)+v*(w-1-(H*_-j))+y*F,X=0;X<O;++X)W+=c[G+(F*O+X)]*d[K+X];i[o*I+s*R+u*L+F]=W}return r.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(e,t,n){Lf([e,t],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=Zn(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,f=this.bufferSync(e),p=this.bufferSync(t),h=0;h<a;++h)for(var d=Math.max(0,Math.ceil((c-h)/r)),m=Math.min(n.outHeight,(n.inHeight+c-h)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((u-g)/i)),y=Math.min(n.outWidth,(n.inWidth+u-g)/i),b=0;b<n.outChannels;++b){for(var x=Math.trunc(b/l),w=b%l,E=0,C=0;C<n.batchSize;++C)for(var S=d;S<m;++S)for(var N=h+S*r-c,A=v;A<y;++A){var k=g+A*i-u;E+=f.get(C,N,k,x)*p.get(C,S,A,b)}s.set(E,h,g,x,w)}return s.toTensor()},t.prototype.tile=function(e,t){return Lf(e,"tile"),Ba(this.bufferSync(e),t)},t.prototype.pad=function(e,t,n){Lf(e,"pad");var r=t.map((function(t,n){return t[0]+e.shape[n]+t[1]})),i=t.map((function(e){return e[0]})),a=this.bufferSync(e),o=Zn(r,e.dtype);0!==n&&o.values.fill(n);for(var s=0;s<e.size;s++){var u=a.indexToLoc(s),c=u.map((function(e,t){return e+i[t]}));o.set.apply(o,[a.get.apply(a,u)].concat(c))}return o.toTensor()},t.prototype.gather=function(e,t,n){Lf([e,t],"gather");var r=e.shape.slice(),i=this.readSync(t.dataId);r[n]=i.length;for(var a=Zn(r,e.dtype),o=this.bufferSync(e),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=i[u[n]];var l=o.locToIndex(c);a.values[s]=o.values[l]}return a.toTensor()},t.prototype.batchToSpaceND=function(e,t,n){Lf([e],"batchToSpaceND");var r=t.reduce((function(e,t){return e*t})),i=fr(e.shape,t,r),a=pr(i.length,t.length),o=hr(e.shape,t,r),s=dr(n,t.length),u=mr(o,n,t.length);return ra(e.reshape(i),a).reshape(o).slice(s,u)},t.prototype.spaceToBatchND=function(e,t,n){Lf([e],"spaceToBatchND");var r=t.reduce((function(e,t){return e*t})),i=[[0,0]];i.push.apply(i,n);for(var a=1+t.length;a<e.shape.length;++a)i.push([0,0]);var o=e.pad(i),s=fr(o.shape,t,r,!1),u=pr(s.length,t.length,!1),c=hr(o.shape,t,r,!1);return ra(o.reshape(s),u).reshape(c)},t.prototype.maxPool=function(e,t){return Lf(e,"maxPool"),jf(this.readSync(e.dataId),e.shape,e.dtype,e.strides,t,"max").toTensor()},t.prototype.maxPoolBackprop=function(e,t,n,r){Lf([t,n],"maxPoolBackprop");for(var i=this.readSync(t.dataId),a=Zn(r.outShape,t.dtype,Uf(i,t.shape,t.dtype,r).values),o=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,c=r.dilationWidth,l=r.effectiveFilterHeight,f=r.effectiveFilterWidth,p=f-1-r.padInfo.left,h=l-1-r.padInfo.top,d=Zn(t.shape,"float32"),m=this.bufferSync(e),g=0;g<r.batchSize;++g)for(var v=0;v<r.inChannels;++v)for(var y=0;y<r.inHeight;++y)for(var b=0;b<r.inWidth;++b){for(var x=y-h,w=b-p,E=0,C=0;C<l;C+=u){var S=(x+C)/o;if(!(S<0||S>=r.outHeight||Math.floor(S)!==S))for(var N=0;N<f;N+=c){var A=(w+N)/s;if(!(A<0||A>=r.outWidth||Math.floor(A)!==A)){var k=l*f-1-a.get(g,S,A,v)===C*f+N?1:0;0!==k&&(E+=m.get(g,S,A,v)*k)}}}d.set(E,g,y,b,v)}return d.toTensor()},t.prototype.avgPoolBackprop=function(e,t,n){Lf([e,t],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,f=l-1-n.padInfo.left,p=c-1-n.padInfo.top,h=Zn(t.shape,"float32"),d=1/(a*o),m=this.bufferSync(e),g=0;g<n.batchSize;++g)for(var v=0;v<n.inChannels;++v)for(var y=0;y<n.inHeight;++y)for(var b=0;b<n.inWidth;++b){for(var x=y-p,w=b-f,E=0,C=0;C<c;C+=s){var S=(x+C)/r;if(!(S<0||S>=n.outHeight||Math.floor(S)!==S))for(var N=0;N<l;N+=u){var A=(w+N)/i;A<0||A>=n.outWidth||Math.floor(A)!==A||(E+=m.get(g,S,A,v))}}h.set(E*d,g,y,b,v)}return h.toTensor()},t.prototype.pool3d=function(e,t,n){Lf(e,"pool3d");for(var r=t.strideDepth,i=t.strideHeight,a=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,f=t.effectiveFilterWidth,p=t.padInfo.front,h=t.padInfo.top,d=t.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(e.dataId),v=Zn(t.outShape,e.dtype),y=v.values,b=t.outShape[1]*t.outShape[2]*t.outShape[3]*t.outShape[4],x=t.outShape[2]*t.outShape[3]*t.outShape[4],w=t.outShape[3]*t.outShape[4],E=t.outShape[4],C=0;C<t.batchSize;++C)for(var S=C*b,N=C*e.strides[0],A=0;A<t.inChannels;++A)for(var k=0;k<t.outDepth;++k){for(var D=k*r-p,_=D;_<0;)_+=o;for(var M=Math.min(t.inDepth,c+D),T=S+k*x,O=0;O<t.outHeight;++O){for(var I=O*i-h,F=I;F<0;)F+=s;for(var R=Math.min(t.inHeight,l+I),B=T+O*w,z=0;z<t.outWidth;++z){for(var P=z*a-d,L=P;L<0;)L+=u;for(var j=Math.min(t.inWidth,f+P),U=B+z*E,q=m,W=0,V=0,$=_;$<M;$+=o){for(var H=N+$*e.strides[1],G=F;G<R;G+=s){for(var K=H+G*e.strides[2],X=L;X<j;X+=u){var Y=g[K+X*e.strides[3]+A];if("max"===n&&Y>q?q=Y:"avg"===n&&(W+=Y,V++),isNaN(q))break}if(isNaN(q))break}if(isNaN(q))break}y[U+A]="avg"===n?W/V:q}}}return v.toTensor()},t.prototype.avgPool3d=function(e,t){return Lf(e,"avgPool3d"),this.pool3d(e,t,"avg").toFloat()},t.prototype.avgPool3dBackprop=function(e,t,n){Lf([e,t],"avgPool3dBackprop");for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,f=n.dilationWidth,p=n.effectiveFilterDepth,h=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=p-1-n.padInfo.front,g=d-1-n.padInfo.left,v=h-1-n.padInfo.top,y=Zn(t.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(e),w=0;w<n.batchSize;++w)for(var E=0;E<n.inChannels;++E)for(var C=0;C<n.inDepth;++C)for(var S=0;S<n.inHeight;++S)for(var N=0;N<n.inWidth;++N){for(var A=C-m,k=S-v,D=N-g,_=0,M=0;M<p;M+=c){var T=(A+M)/r;if(!(T<0||T>=n.outDepth||Math.floor(T)!==T))for(var O=0;O<h;O+=l){var I=(k+O)/i;if(!(I<0||I>=n.outHeight||Math.floor(I)!==I))for(var F=0;F<d;F+=f){var R=(D+F)/a;R<0||R>=n.outWidth||Math.floor(R)!==R||(_+=x.get(w,T,I,R,E))}}}y.set(_*b,w,C,S,N,E)}return y.toTensor()},t.prototype.maxPool3d=function(e,t){return Lf(e,"maxPool3d"),this.pool3d(e,t,"max").toFloat()},t.prototype.maxPool3dPositions=function(e,t){for(var n=Zn(t.outShape,"int32"),r=t.strideDepth,i=t.strideHeight,a=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,f=t.effectiveFilterWidth,p=t.padInfo.front,h=t.padInfo.top,d=t.padInfo.left,m=this.bufferSync(e),g=0;g<t.batchSize;++g)for(var v=0;v<t.inChannels;++v)for(var y=0;y<t.outDepth;++y){for(var b=y*r-p,x=b;x<0;)x+=o;for(var w=Math.min(t.inDepth,c+b),E=0;E<t.outHeight;++E){for(var C=E*i-h,S=C;S<0;)S+=s;for(var N=Math.min(t.inHeight,l+C),A=0;A<t.outWidth;++A){for(var k=A*a-d,D=k;D<0;)D+=u;for(var _=Math.min(t.inWidth,f+k),M=Number.NEGATIVE_INFINITY,T=-1,O=x;O<w;O+=o)for(var I=O-b,F=S;F<N;F+=s)for(var R=F-C,B=D;B<_;B+=u){var z=B-k,P=m.get(g,O,F,B,v);P>=M&&(M=P,T=I*l*f+R*l+z)}n.set(T,g,y,E,A,v)}}}return n.toTensor()},t.prototype.maxPool3dBackprop=function(e,t,n,r){Lf([t,n],"maxPool3dBackprop");for(var i=this.maxPool3dPositions(t,r),a=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,f=r.effectiveFilterDepth,p=r.effectiveFilterHeight,h=r.effectiveFilterWidth,d=f-1-r.padInfo.front,m=h-1-r.padInfo.left,g=p-1-r.padInfo.top,v=Zn(t.shape,"float32"),y=this.bufferSync(i),b=this.bufferSync(e),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var E=0;E<r.inDepth;++E)for(var C=0;C<r.inHeight;++C)for(var S=0;S<r.inWidth;++S){for(var N=E-d,A=C-g,k=S-m,D=0,_=0;_<f;_+=u){var M=(N+_)/a;if(!(M<0||M>=r.outDepth||Math.floor(M)!==M))for(var T=0;T<p;T+=c){var O=(A+T)/o;if(!(O<0||O>=r.outHeight||Math.floor(O)!==O))for(var I=0;I<h;I+=l){var F=(k+I)/s;if(!(F<0||F>=r.outWidth||Math.floor(F)!==F)){var R=f*p*h-1-y.get(x,M,O,F,w)===_*p*h+T*h+I?1:0;0!==R&&(D+=b.get(x,M,O,F,w)*R)}}}}v.set(D,x,E,C,S,w)}return v.toTensor()},t.prototype.cast=function(e,t){return ba(e,t,this)},t.prototype.reshape=function(e,t){return xa(e,t)},t.prototype.avgPool=function(e,t){return Lf(e,"avgPool"),Lf(e,"maxPool"),jf(this.readSync(e.dataId),e.shape,e.dtype,e.strides,t,"avg").toTensor().toFloat()},t.prototype.resizeBilinear=function(e,t,n,r){Lf(e,"resizeBilinear");for(var i=e.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(e.dataId),l=new Float32Array(_([a,t,n,u])),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=0,d=f[0]/p[0],m=f[1]/p[1],g=0;g<a;g++)for(var v=0;v<t;v++)for(var y=d*v,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),E=g*e.strides[0]+b*e.strides[1],C=g*e.strides[0]+w*e.strides[1],S=0;S<n;S++)for(var N=m*S,A=Math.floor(N),k=N-A,D=Math.min(s-1,Math.ceil(N)),M=E+A*e.strides[2],T=C+A*e.strides[2],O=E+D*e.strides[2],I=C+D*e.strides[2],F=0;F<u;F++){var R=c[M+F],B=c[T+F],z=R+(c[O+F]-R)*k,P=z+(B+(c[I+F]-B)*k-z)*x;l[h++]=P}return _n(l,[a,t,n,u])},t.prototype.resizeBilinearBackprop=function(e,t,n){Lf([e,t],"resizeBilinearBackprop");for(var r=t.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=e.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),p=[n&&c>1?a-1:a,n&&l>1?o-1:o],h=[n&&c>1?c-1:c,n&&l>1?l-1:l],d=p[0]/h[0],m=p[1]/h[1],g=this.readSync(e.dataId),v=0,y=0;y<i;y++)for(var b=y*t.strides[0],x=0;x<c;x++)for(var w=x*d,E=Math.floor(w),C=Math.min(Math.ceil(w),a-1),S=b+E*t.strides[1],N=b+C*t.strides[1],A=w-E,k=1-A,D=0;D<l;D++)for(var _=D*m,M=Math.floor(_),T=Math.min(Math.ceil(_),o-1),O=_-M,I=1-O,F=S+M*t.strides[2],R=S+T*t.strides[2],B=N+M*t.strides[2],z=N+T*t.strides[2],P=k*I,L=k*O,j=A*I,U=A*O,q=0;q<s;q++){var W=g[v++];f[F+q]+=W*P,f[R+q]+=W*L,f[B+q]+=W*j,f[z+q]+=W*U}return Rn(f,[i,o,a,s],t.dtype)},t.prototype.resizeNearestNeighbor=function(e,t,n,r){Lf(e,"resizeNearestNeighbor");for(var i=e.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(e.dataId),l=new Float32Array(a*t*n*u),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=f[0]/p[0],d=f[1]/p[1],m=0,g=0;g<a;g++)for(var v=g*e.strides[0],y=0;y<t;y++)for(var b=h*y,x=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*e.strides[1],w=0;w<n;w++)for(var E=d*w,C=x+Math.min(s-1,r?Math.round(E):Math.floor(E))*e.strides[2],S=0;S<u;S++){var N=c[C+S];l[m++]=N}return _n(l,[a,t,n,u],e.dtype)},t.prototype.resizeNearestNeighborBackprop=function(e,t,n){Lf([e,t],"resizeNearestNeighborBackprop");for(var r=t.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=e.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),p=this.readSync(e.dataId),h=[n&&c>1?a-1:a,n&&l>1?o-1:o],d=[n&&c>1?c-1:c,n&&l>1?l-1:l],m=h[0]/d[0],g=h[1]/d[1],v=1/m,y=1/g,b=2*Math.ceil(v)+2,x=2*Math.ceil(y)+2,w=0;w<i;w++)for(var E=w*t.strides[0],C=0;C<a;C++)for(var S=E+C*t.strides[1],N=Math.floor(C*v),A=Math.floor(N-b/2),k=0;k<o;k++)for(var D=S+k*t.strides[2],_=Math.floor(k*y),M=Math.floor(_-x/2),T=0;T<s;T++){for(var O=0,I=0;I<b;I++){var F=I+A;if(!(F<0||F>=c)){var R=E+F*e.strides[1],B=F*m;if(C===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var z=0;z<x;z++){var P=z+M;if(!(P<0||P>=l)){var L=R+P*e.strides[2],j=P*g;k===Math.min(o-1,n?Math.round(j):Math.floor(j))&&(O+=p[L+T])}}}}f[D+T]=O}return Rn(f,t.shape,t.dtype)},t.prototype.batchNormalization=function(e,t,n,r,i,a){Lf([e,t,n,i,a],"batchNorm");for(var o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=this.readSync(n.dataId),c=i?this.readSync(i.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),f=new Float32Array(o.length),p=l.length,h=c.length,d=u.length,m=s.length,g=0,v=0,y=0,b=0,x=0;x<o.length;++x)f[x]=l[g++]+(o[x]-s[v++])*c[y++]/Math.sqrt(u[b++]+r),g>=p&&(g=0),v>=m&&(v=0),y>=h&&(y=0),b>=d&&(b=0);return Rn(f,e.shape)},t.prototype.localResponseNormalization4D=function(e,t,n,r,i){Lf(e,"localResponseNormalization4D");var a=e.shape[3],o=a-1,s=this.readSync(e.dataId),u=e.size,c=new Float32Array(u);function l(e){for(var n=e%a,r=e-n+Math.max(0,n-t),i=e-n+Math.min(n+t,o),u=0;r<=i;r++){var c=s[r];u+=c*c}return u}for(var f=0;f<u;f++){var p=l(f),h=s[f]*Math.pow(n+r*p,-i);c[f]=h}return Rn(c,e.shape)},t.prototype.LRNGrad=function(e,t,n,r,i,a,o){Lf(e,"LRNGrad");for(var s=e.shape[3],u=this.readSync(e.dataId),c=this.readSync(t.dataId),l=this.readSync(n.dataId),f=new Float32Array(e.size),p=e.size,h=0;h<p;h++){for(var d=h%s,m=h-d+Math.max(0,d-r),g=h-d+Math.min(s,d+r+1),v=0,y=m;y<g;y++)v+=Math.pow(c[y],2);for(v=a*v+i,y=m;y<g;y++){var b=-2*a*o*c[y]*l[h]/v;h===y&&(b+=Math.pow(v,-o)),b*=u[h],f[y]+=b}}return Rn(f,e.shape)},t.prototype.multinomial=function(e,t,n,r){Lf(e,"multinomial");for(var i=t?e:ta(e),a=i.shape[0],o=i.shape[1],s=jn([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(i.dataId),l=0;l<a;++l){var f=l*o,p=new Float32Array(o-1);p[0]=c[f];for(var h=1;h<p.length;++h)p[h]=p[h-1]+c[f+h];for(var d=Nu(r.toString()),m=l*n,g=0;g<n;++g){var v=d();u[m+g]=p.length;for(var y=0;y<p.length;y++)if(v<p[y]){u[m+g]=y;break}}}return s},t.prototype.oneHot=function(e,t,n,r){Lf(e,"oneHot");var i=new Float32Array(e.size*t);i.fill(r);for(var a=this.readSync(e.dataId),o=0;o<e.size;++o)a[o]>=0&&a[o]<t&&(i[o*t+a[o]]=n);return In(i,[e.size,t],"int32")},t.prototype.nonMaxSuppression=function(e,t,n,r,i){return Lf(e,"nonMaxSuppression"),_a(this.readSync(e.dataId),this.readSync(t.dataId),n,r,i)},t.prototype.fft=function(e){return this.fftBatch(e,!1)},t.prototype.ifft=function(e){return this.fftBatch(e,!0)},t.prototype.fftBatch=function(e,t){for(var n=e.shape[0],r=e.shape[1],i=Zn(e.shape,"float32"),a=Zn(e.shape,"float32"),o=kn(e).as2D(n,r),s=Dn(e).as2D(n,r),u=0;u<n;u++)for(var c=o.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),f=An(c,l),p=this.readSync(this.fftImpl(f,t).dataId),h=0;h<r;h++){var d=Sa(p,h);i.values[u*r+h]=d.real,a.values[u*r+h]=d.imag}return An(i.toTensor(),a.toTensor()).as2D(n,r)},t.prototype.fftImpl=function(e,t){var n=e.as1D(),r=n.size;if(this.isExponentOf2(r)){var i=this.fftRadix2(n,r,t).as2D(e.shape[0],e.shape[1]);return t&&(i=An(kn(i).div(Tn(r)),Dn(i).div(Tn(r)))),i}var a=this.readSync(e.dataId),o=function(e){for(var t=new Float32Array(e.length/2),n=new Float32Array(e.length/2),r=0;r<e.length;r+=2)t[r/2]=e[r],n[r/2]=e[r+1];return{real:t,imag:n}}(this.fourierTransformByMatmul(a,r,t));return An(o.real,o.imag).as2D(e.shape[0],e.shape[1])},t.prototype.isExponentOf2=function(e){return 0==(e&e-1)},t.prototype.fftRadix2=function(e,t,n){if(1===t)return e;var r=this.readSync(e.dataId),i=t/2,a=function(e){for(var t=Math.ceil(e.length/4),n=new Float32Array(t),r=new Float32Array(t),i=0;i<e.length;i+=4)n[Math.floor(i/4)]=e[i],r[Math.floor(i/4)]=e[i+1];return{real:n,imag:r}}(r),o=An(a.real,a.imag).as1D(),s=function(e){for(var t=Math.floor(e.length/4),n=new Float32Array(t),r=new Float32Array(t),i=2;i<e.length;i+=4)n[Math.floor(i/4)]=e[i],r[Math.floor(i/4)]=e[i+1];return{real:n,imag:r}}(r),u=An(s.real,s.imag).as1D();o=this.fftRadix2(o,i,n),u=this.fftRadix2(u,i,n);var c=function(e,t){for(var n=new Float32Array(e/2),r=new Float32Array(e/2),i=0;i<Math.ceil(e/2);i++){var a=(t?2:-2)*Math.PI*(i/e);n[i]=Math.cos(a),r[i]=Math.sin(a)}return{real:n,imag:r}}(t,n),l=An(c.real,c.imag).mul(u),f=o.add(l),p=o.sub(l),h=kn(f).concat(kn(p)),d=Dn(f).concat(Dn(p));return An(h,d).as1D()},t.prototype.fourierTransformByMatmul=function(e,t,n){for(var r=new Float32Array(2*t),i=0;i<t;i++){for(var a=0,o=0,s=0;s<t;s++){var u=Aa(i*s,t,n),c=Sa(e,s);a+=c.real*u.real-c.imag*u.imag,o+=c.real*u.imag+c.imag*u.real}n&&(a/=t,o/=t),Na(r,a,o,i)}return r},t.prototype.depthToSpace=function(e,t,n){N("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),N(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t}));for(var r=e.shape[0],i=e.shape[1],a=e.shape[2],o=e.shape[3],s=i*t,u=a*t,c=o/(t*t),l=this.readSync(e.dataId),f=new Float32Array(r*s*u*c),p=0,h=0;h<r;++h)for(var d=0;d<s;++d)for(var m=Math.floor(d/t),g=d%t,v=0;v<u;++v)for(var y=Math.floor(v/t),b=(g*t+v%t)*c,x=0;x<c;++x){var w=x+b+o*(y+a*(m+i*h));f[p++]=l[w]}return Rn(f,[r,s,u,c])},t.prototype.broadcastedBinaryOp=function(e,t,n,r){var i=Fr(e.shape,t.shape),a=Zn(i,n),o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=Or(e.shape,i),c=Or(t.shape,i),l=a.values;if(u.length+c.length===0)for(var f=0;f<l.length;++f)l[f]=r(o[f%o.length],s[f%s.length]);else{var p=this.bufferSync(e),h=this.bufferSync(t),d=function(n){var i=a.indexToLoc(n),f=i.slice(-e.rank);u.forEach((function(e){return f[e]=0}));var d=p.locToIndex(f),m=i.slice(-t.rank);c.forEach((function(e){return m[e]=0}));var g=h.locToIndex(m);l[n]=r(o[d],s[g])};for(f=0;f<l.length;++f)d(f)}return a.toTensor()},t.prototype.broadcastedBinaryComplexOp=function(e,t,n){var r=Fr(e.shape,t.shape),i=Zn(r,"float32"),a=Zn(r,"float32"),o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=Or(e.shape,r),c=Or(t.shape,r),l=i.values,f=a.values;if(u.length+c.length===0)for(var p=0;p<l.length;p++){var h=p%o.length,d=p%s.length,m=n(o[2*h],o[2*h+1],s[2*d],s[2*d+1]);l[p]=m.real,f[p]=m.imag}else{var g=this.bufferSync(this.data.get(e.dataId).complexTensors.real),v=this.bufferSync(this.data.get(t.dataId).complexTensors.real),y=function(r){var a=i.indexToLoc(r),p=a.slice(-e.rank);u.forEach((function(e){return p[e]=0}));var h=g.locToIndex(p),d=a.slice(-t.rank);c.forEach((function(e){return d[e]=0}));var m=v.locToIndex(d),y=n(o[2*h],o[2*h+1],s[2*m],s[2*m+1]);l[r]=y.real,f[r]=y.imag};for(p=0;p<l.length;p++)y(p)}return this.complex(i.toTensor(),a.toTensor())},t.prototype.split=function(e,t,n){return Ra(e,t,n)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.epsilon=function(){return 1e-7},t.prototype.cropAndResize=function(e,t,n,r,i,a){for(var o=e.shape,s=o[0],u=o[1],c=o[2],l=o[3],f=t.shape[0],p=r[0],h=r[1],d=Zn([f,p,h,l],"float32"),m=this.readSync(t.dataId),g=this.readSync(n.dataId),v=this.readSync(e.dataId),y=e.strides,b=d.strides,x=0;x<f;x++){var w=4*x,E=m[w],C=m[w+1],S=m[w+2],N=m[w+3],A=g[x];if(!(A>=s))for(var k=p>1?(S-E)*(u-1)/(p-1):0,D=h>1?(N-C)*(c-1)/(h-1):0,_=0;_<p;_++){var M=p>1?E*(u-1)+_*k:.5*(E+S)*(u-1);if(M<0||M>u-1)for(var T=0;T<h;T++)for(var O=0;O<l;O++){var I=O+T*b[2]+_*b[1]+x*b[0];d.values[I]=a}else if("bilinear"===i){var F=Math.floor(M),R=Math.ceil(M),B=M-F;for(T=0;T<h;T++)if(($=h>1?C*(c-1)+T*D:.5*(C+N)*(c-1))<0||$>c-1)for(O=0;O<l;O++)I=O+T*b[2]+_*b[1]+x*b[0],d.values[I]=a;else{var z=Math.floor($),P=Math.ceil($),L=$-z;for(O=0;O<l;O++){var j=v[I=O+z*y[2]+F*y[1]+A*y[0]],U=v[I=O+P*y[2]+F*y[1]+A*y[0]],q=v[I=O+z*y[2]+R*y[1]+A*y[0]],W=j+(U-j)*L,V=q+(v[I=O+P*y[2]+R*y[1]+A*y[0]]-q)*L;I=O+T*b[2]+_*b[1]+x*b[0],d.values[I]=W+(V-W)*B}}}else for(T=0;T<h;++T){var $;if(($=h>1?C*(c-1)+T*D:.5*(C+N)*(c-1))<0||$>c-1)for(O=0;O<l;O++)I=O+T*b[2]+_*b[1]+x*b[0],d.values[I]=a;else{var H=Math.round($),G=Math.round(M);for(O=0;O<l;O++){var K=O+H*y[2]+G*y[1]+A*y[0],X=O+T*b[2]+_*b[1]+x*b[0];d.values[X]=v[K]}}}}}return d.toTensor()},t.prototype.sparseToDense=function(e,t,n,r){var i=Pi(0,e,n),a=i.sliceRank,o=i.numUpdates,s=i.sliceSize,u=i.strides,c=i.outputSize;return this.scatter(e,t,n,c,s,o,a,u,r,!1)},t.prototype.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],i=Ii(e,t),a=i[0],o=i[1],s=i[2],u=i[3];if(0===o)return _n([],a,e.dtype);for(var c=new ge([o,s],e.dtype),l=this.readSync(t.dataId),f=this.readSync(e.dataId),p=0;p<o;p++){for(var h=[],d=0,m=0;m<r;m++){var g=l[p*r+m];d+=g*u[m],h.push(g)}if(d<0||d>=e.size/s)throw new Error("Invalid indices: "+h+" does not index into "+e.shape);for(var v=0;v<s;v++)c.values[p*s+v]=f[d*s+v]}return c.toTensor().reshape(a)},t.prototype.scatterND=function(e,t,n){var r=Pi(0,e,n),i=r.sliceRank,a=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,c=Tn(0);return this.scatter(e,t,n,u,o,a,i,s,c,!0)},t.prototype.fill=function(e,t,n){var r=j(n=n||Y(t),_(e));return r.fill(t),ze.makeTensor(r,e,n,this)},t.prototype.onesLike=function(e){if("string"===e.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){var t=j(e.dtype,_(e.shape));return this.makeOutput(t,e.shape,e.dtype)},t.prototype.linspace=function(e,t,n){return wa(e,t,n)},t.prototype.scatter=function(e,t,n,r,i,a,o,s,u,c){var l=[r/i,i],f=this.readSync(e.dataId),p=this.readSync(t.dataId);if(0===r)return _n([],n,t.dtype);var h=new ge(l,t.dtype);h.values.fill(this.readSync(u.dataId)[0]);for(var d=0;d<a;d++){for(var m=[],g=0,v=0;v<o;v++){var y=f[d*o+v];m.push(y),g+=y*s[v]}if(g<0||g>=r/i)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<i;b++)c?h.values[g*i+b]+=p[d*i+b]:h.values[g*i+b]=0===t.rank?p[0]:p[d*i+b]}return h.toTensor().reshape(n)},t}(aa);function Vf(e,t){return{kernelName:e,backendName:"cpu",kernelFunc:function(n){var r=n.inputs,i=n.backend,a=r,o=a.a,s=a.b,u=i;Lf([o,s],e);var c=u.data.get(o.dataId).values,l=u.data.get(s.dataId).values,f=t(o.shape,s.shape,c,l,o.dtype),p=f[0],h=f[1];return{dataId:u.write(p,h,o.dtype),shape:h,dtype:o.dtype}}}}function $f(e){return function(t,n,r,i,a){var o=Fr(t,n),s=o.length,u=Q(o),c=L(a,_(o)),l=t.length,f=n.length,p=Q(t),h=Q(n),d=Or(t,o),m=Or(n,o);if(d.length+m.length===0)for(var g=0;g<c.length;++g)c[g]=e(r[g%r.length],i[g%i.length]);else{var v=function(t){var n=ce(t,s,u),a=n.slice(-l);d.forEach((function(e){return a[e]=0}));var o=ue(a,l,p),g=n.slice(-f);m.forEach((function(e){return g[e]=0}));var v=ue(g,f,h);c[t]=e(r[o],i[v])};for(g=0;g<c.length;++g)v(g)}return[c,o]}}ze.registerBackend("cpu",(function(){return new Wf}),1);var Hf=$f((function(e,t){return e/t})),Gf=Vf(yr,Hf),Kf={kernelName:"MaxPoolWithArgmax",backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,i=t.x,a=n,o=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;Lf(i,"MaxPoolWithArgmax");var f=l.data.get(i.dataId).values,p=sa(i.shape,o,s,[1,1],u),h=function(e,t,n,r,i){var a=jf(e,0,n,Q(t),i,"max"),o=Uf(e,t,n,i,!0,r);return[a.values,o.values]}(f,i.shape,i.dtype,c,p),d=h[0],m=h[1],g=l.write(d,p.outShape,i.dtype),v=l.write(m,p.outShape,i.dtype);return[{dataId:g,shape:p.outShape,dtype:i.dtype},{dataId:v,shape:p.outShape,dtype:"int32"}]}},Xf={kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t,a=i.boxes,o=i.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,f=s.softNmsSigma,p=n;Lf(a,"NonMaxSuppressionWithScore");var h=Ma(p.data.get(a.dataId).values,p.data.get(o.dataId).values,u,c,l,f);return[h.selectedIndices,h.selectedScores]}},Yf={kernelName:"Square",backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,i=n;Lf(r,"square");for(var a=i.data.get(r.dataId).values,o=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];o[s]=u*u}return{dataId:i.write(o,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},Jf=$f((function(e,t){var n=e-t;return n*n}));function Zf(e,t,n,r,i){for(var a=_(t),o=t.length,s=Q(t),u=Q(i),c=L(n,_(i)),l=0;l<a;++l){for(var f=ce(l,o,s),p=new Array(f.length),h=0;h<p.length;h++)p[h]=f[r[h]];c[ue(p,o,u)]=e[l]}return c}for(var Qf=0,ep=[Xf,Yf,Vf(xr,Jf),Gf,{kernelName:"Transpose",backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,i=t.x,a=n.perm,o=r;Lf(i,"transpose");for(var s=i.shape.length,u=new Array(s),c=0;c<u.length;c++)u[c]=i.shape[a[c]];var l=Zf(o.data.get(i.dataId).values,i.shape,i.dtype,a,u);return{dataId:o.write(l,u,i.dtype),shape:u,dtype:i.dtype}}},Kf];Qf<ep.length;Qf++)g(ep[Qf]);for(var tp,np=function(e){this.variableNames=["A"];var t=Va(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+t.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},rp=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=Va(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+t.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            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Array(this.rank);for(r=0;r<t.length;r++)o[t[r]]=a[r];var s="vec2("+o.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "},op=0,sp=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.pixels,a=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&i instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&i instanceof 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null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}return o(t,e),t.nodeKey=function(e,t){return e.name+"_ib-"+t.toString()},t.prototype.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new h("The layer has never been called and thus has no defined "+t+".");if(this.inboundNodes.length<=e)throw new d("Asked to get "+t+" at node "+e+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return x(this.getNodeAtIndex(e,"input").inputTensors)},t.prototype.getOutputAt=function(e){return x(this.getNodeAtIndex(e,"output").outputTensors)},Object.defineProperty(t.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new p("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new p("Layer "+this.name+" is not connected, no input to return.");return x(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new p("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new p("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return x(this.getNodeAtIndex(0,"output").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"losses",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map((function(e){return e()}))},Object.defineProperty(t.prototype,"updates",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"built",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainable",{get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"stateful",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},t.prototype.assertInputCompatibility=function(e){if(e=w(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=w(this.inputSpec);if(e.length!==t.length)throw new d("Layer "+this.name+" expects "+t.length+" inputs, but it received "+e.length+" input tensors. Input received: "+e);for(var n=0;n<e.length;n++){var r=e[n],i=t[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new d("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new d("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+i.maxNDim+", found ndim="+a);if(null!=i.minNDim&&a<i.minNDim)throw new d("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+i.minNDim+", found ndim="+a+".");if(null!=i.dtype&&r.dtype!==i.dtype)throw new d("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+i.dtype+", found dtype="+r.dtype+".");if(i.axes){var o=r.shape;for(var s in i.axes){var u=Number(s),c=i.axes[s],l=u>=0?o[u]:o[o.length+u];if(null!=c&&-1===[c,null].indexOf(l))throw new d("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+c+" but got shape "+o+".")}}if(null!=i.shape)for(var f=0;f<i.shape.length;++f){var p=i.shape[f],h=r.shape[f];if(null!=p&&null!=h&&p!==h)throw new d("Input "+n+" is incompatible with layer "+this.name+": expected shape="+i.shape+", found shape="+r.shape+".")}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r=w(e),i=!0,a=0,o=r;a<o.length;a++)if(!(o[a]instanceof pt)){i=!1;break}for(var s=!0,u=0,c=r;u<c.length;u++)if(c[u]instanceof pt){s=!1;break}if(i===s)throw new d("Arguments to apply() must be all SymbolicTensors or all Tensors");return ne(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);for(var i=[],a=0,o=w(e);a<o.length;a++){var u=o[a];i.push(u.shape)}n.build(x(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(e),s){for(var c=[],l=0,f=w(g=n.call(e,t));l<f.length;l++){var p=f[l];-1!==r.indexOf(p)&&(p=p.clone()),c.push(p)}if(g=x(c),null!=n.activityRegularizer)throw new m("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return g}var h=function(e){for(var t=[],n=0,r=e=w(e);n<r.length;n++){var i=r[n];t.push(i.shape)}return x(t)}(e),d=n.computeOutputShape(h),g=void 0,v="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?h[0]:h),g=null!=d&&d.length>0&&Array.isArray(d[0])?d.map((function(r,i){return new pt(v,r,n,w(e),t,n.name,i)})):new pt(v,d,n,w(e),t,n.name),n.addInboundNode(e,g,null,null,h,d,t),n._refCount++,null!=n.activityRegularizer)throw new m("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return g}))},t.prototype.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(e)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var t=!1;this.batchInputShape.forEach((function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn("The shape of the input tensor ("+JSON.stringify(e)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(t.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new p("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],i=JSON.stringify(r.outputShapes);-1===e.indexOf(i)&&e.push(i)}if(1===e.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new p("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new h("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return ot(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),ct(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;(0,i.tidy)((function(){var n=t.weights;if(n.length!==e.length)throw new d('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+e+"...");if(0!==n.length){for(var r=[],a=ct(n),o=0;o<a.length;++o){var s=a[o],u=n[o],c=e[o];if(!i.util.arraysEqual(s.shape,c.shape))throw new d("Layer weight shape "+s.shape+" not compatible with provided weight shape "+c.shape);r.push([u,c])}lt(r)}}))},t.prototype.addWeight=function(e,t,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(e))throw new d("Duplicate weight name "+e+" for layer "+this.name);this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=Ye("zeros"));var s=r.apply(t,n),u=new ut(s,n,e,a,o);return s.dispose(),null!=i&&this.addLoss((function(){return i.apply(u.read())})),null==a&&(a=!0),a?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u},t.prototype.setFastWeightInitDuringBuild=function(e){this.fastWeightInitDuringBuild=e},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=w(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")}))}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,i,a,o){void 0===o&&(o=null);var s=w(e);t=w(t),n=w(n),r=w(r),i=rt(i),a=rt(a);for(var u=[],c=[],l=[],f=0,p=s;f<p.length;f++){var h=p[f];u.push(h.sourceLayer),c.push(h.nodeIndex),l.push(h.tensorIndex)}new dt({outboundLayer:this,inboundLayers:u,nodeIndices:c,tensorIndices:l,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},t.prototype.disposeWeights=function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length},t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},t.prototype.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer "+this.name+" because it has not been used yet.");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},t}(i.serialization.Serializable);function vt(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var o=0,s=vt(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);o<s.length;o++){var u=s[o];-1===i.indexOf(u)&&i.push(u)}return i}var yt,bt,xt=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:tt("input").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new d("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new d("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new d("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=t.dtype||"float32";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new pt(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new dt({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return o(t,e),t.prototype.apply=function(e,t){throw new d("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},t.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className="InputLayer",t}(gt);function wt(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new d("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new xt({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}function Et(e){return c(this,void 0,void 0,(function(){var t,n,r,a,o,s,u,c;return l(this,(function(l){switch(l.label){case 0:if(null==e)return[2];for(a in t=[],n=[],r=[],e)"number"!=typeof(o=e[a])&&(s=o,t.push(s.data()),n.push(a),r.push(s));return t.length>0?[4,Promise.all(t)]:[3,2];case 1:for(u=l.sent(),c=0;c<u.length;++c)e[n[c]]=u[c][0];(0,i.dispose)(r),l.label=2;case 2:return[2]}}))}))}function Ct(e){if(null!=e)for(var t in e){var n=e[t];"number"!=typeof n&&n.dispose()}}i.serialization.registerClass(xt),(bt=yt||(yt={}))[bt.SILENT=0]="SILENT",bt[bt.VERBOSE=1]="VERBOSE";var St=function(){function e(){this.validationData=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.onEpochBegin=function(e,t){return c(this,void 0,void 0,(function(){return l(this,(function(e){return[2]}))}))},e.prototype.onEpochEnd=function(e,t){return c(this,void 0,void 0,(function(){return l(this,(function(e){return[2]}))}))},e.prototype.onBatchBegin=function(e,t){return c(this,void 0,void 0,(function(){return l(this,(function(e){return[2]}))}))},e.prototype.onBatchEnd=function(e,t){return c(this,void 0,void 0,(function(){return l(this,(function(e){return[2]}))}))},e.prototype.onTrainBegin=function(e){return c(this,void 0,void 0,(function(){return l(this,(function(e){return[2]}))}))},e.prototype.onTrainEnd=function(e){return c(this,void 0,void 0,(function(){return l(this,(function(e){return[2]}))}))},e.prototype.setModel=function(e){},e}(),Nt=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}return e.prototype.append=function(e){this.callbacks.push(e)},e.prototype.setParams=function(e){for(var t=0,n=this.callbacks;t<n.length;t++)n[t].setParams(e)},e.prototype.setModel=function(e){for(var t=0,n=this.callbacks;t<n.length;t++)n[t].setModel(e)},e.prototype.onEpochBegin=function(e,t){return c(this,void 0,void 0,(function(){var n,r;return l(this,(function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},e.prototype.onEpochEnd=function(e,t){return c(this,void 0,void 0,(function(){var n,r;return l(this,(function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},e.prototype.onBatchBegin=function(e,t){return c(this,void 0,void 0,(function(){var n,r;return l(this,(function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},e.prototype.onBatchEnd=function(e,t){return c(this,void 0,void 0,(function(){var n,r;return l(this,(function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}}))}))},e.prototype.onTrainBegin=function(e){return c(this,void 0,void 0,(function(){var t,n;return l(this,(function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}}))}))},e.prototype.onTrainEnd=function(e){return c(this,void 0,void 0,(function(){var t,n;return l(this,(function(r){switch(r.label){case 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e){if(null!=n[l])c.push([n[l],e[l]]);else if(t)throw new d("Provided weight data has no target variable: "+l);delete n[l]}if(t){var f=[];for(var p in n)f.push(p);if(f.length>0)throw new d(f.length+" of "+r+" weights are not set: "+f)}lt(c)},t.prototype.updatedConfig=function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers "+un,t.backend="TensorFlow.js",t},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=sn(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){e=w(e);for(var r=new cn,i=0;i<n.inputs.length;++i)r.add(n.inputs[i],e[i]);return pn(n.outputs,r,t)}))},t.prototype.computeMask=function(e,t){var n=this;return(0,i.tidy)((function(){var r;return e=w(e),r=null==t?v(null,e.length):w(t),n.runInternalGraph(e,r)[1]}))},t.prototype.computeOutputShape=function(e){var t=rt(e);if(t.length!==this.inputLayers.length)throw new d("Invalid inputShape argument "+e+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<t.length;r++){var i=this.inputLayers[r],a=t[r];n[A=i.name+"_0_0"]=a}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(D);if(o.length>1)for(var s=0,u=o;s<u.length;s++)for(var c=u[s],l=0,f=this.nodesByDepth[c];l<f.length;l++){var p=f[l];if(i=p.outboundLayer,-1===this.inputLayers.map((function(e){return e.id})).indexOf(i.id)){for(var h=[],m=0;m<p.inboundLayers.length;m++){var g=p.inboundLayers[m],v=p.nodeIndices[m],b=p.tensorIndices[m],w=n[A=g.name+"_"+v+"_"+b];h.push(w)}var E=rt(i.computeOutputShape(x(h))),C=i.inboundNodes.indexOf(p);for(m=0;m<E.length;m++)n[A=i.name+"_"+C+"_"+m]=E[m]}}var S=[],N=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],C=this.outputLayersNodeIndices[r],b=this.outputLayersTensorIndices[r];var A=i.name+"_"+C+"_"+b;N.push(A)}for(r=0;r<N.length;r++){var k=N[r];y(k in n),S.push(n[k])}return x(S)},t.prototype.runInternalGraph=function(e,t){null==t&&(t=v(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=e[r],o=t[r];n[i.id]=[a,o]}for(var s=0,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(D);s<u.length;s++)for(var c=u[s],l=0,f=this.nodesByDepth[c];l<f.length;l++){for(var p=f[l],h=p.outboundLayer,d=p.inputTensors,g=p.outputTensors,b=new Array,x=0,E=d;x<E.length;x++)(i=E[x]).id in n&&b.push(n[i.id]);if(b.length===d.length){var C={},S=void 0,N=void 0,A=void 0,k=void 0;if(null!=p.callArgs&&(C=p.callArgs),1===b.length){var _=b[0],M=_[0],T=_[1];null==C.mask&&(C.mask=T),A=w(h.call(M,C)),k=w(h.computeMask(M,T)),S=[M],N=[T]}else S=b.map((function(e){return e[0]})),N=b.map((function(e){return e[1]})),null==C.mask&&(C.mask=N),A=w(h.call(S,C)),k=w(h.computeMask(S,N));if(h.activityRegularizer)throw new m("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported 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n=[],r=0,i=e.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=t.nodeKey(a,o);e.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n}))},t.prototype.getConfig=function(){for(var e={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(x=a[i]).getClassName(),s=x.getConfig(),u=[],c=0;c<x.inboundNodes.length;c++){var l=x.inboundNodes[c],f=t.nodeKey(x,c),p={};if(this.containerNodes.has(f)){if(l.callArgs)try{JSON.stringify(l.callArgs),p=l.callArgs}catch(e){console.warn("Layer "+x.name+" was passed non-serializable keyword arguments: "+l.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),p={}}if(l.inboundLayers.length>0){for(var h=[],d=0;d<l.inboundLayers.length;d++){var m=l.inboundLayers[d],g=l.nodeIndices[d],v=l.tensorIndices[d];null==(E=n[t.nodeKey(m,g)])&&(E=0),h.push([m.name,E,v,p])}u.push(h)}}}var y={};y.name=x.name,y.className=o,y.config=s,y.inboundNodes=u,r.push(y)}e.layers=r;var b=[];for(d=0;d<this.inputLayers.length;d++){var x=this.inputLayers[d];g=this.inputLayersNodeIndices[d],f=t.nodeKey(x,g),this.containerNodes.has(f)&&(null!==(E=n[f])&&void 0!==E||(E=0),v=this.inputLayersTensorIndices[d],b.push([x.name,E,v]))}e.inputLayers=b;var w=[];for(d=0;d<this.outputLayers.length;d++){var E;x=this.outputLayers[d],g=this.outputLayersNodeIndices[d],f=t.nodeKey(x,g),this.containerNodes.has(f)&&(null!==(E=n[f])&&void 0!==E||(E=0),v=this.outputLayersTensorIndices[d],w.push([x.name,E,v]))}return e.outputLayers=w,e},t.fromConfig=function(e,t,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var i={},a={};function o(e,t){e.name in a?a[e.name].push(t):a[e.name]=[t]}function s(e,t){for(var n,r=[],a=0,s=t;a<s.length;a++){var u=s[a],c=u[0],l=u[1],f=u[2];if(n=null==u[3]?{}:u[3],!(c in i))return void o(e,t);var p=i[c];if(p.inboundNodes.length<=l)return void o(e,t);var h=p.inboundNodes[l];r.push(h.outputTensors[f])}r.length>0&&e.apply(x(r),n)}function u(e){var n=e.name,a=Ot(e,null!=t.customObjects?t.customObjects:{});a.setFastWeightInitDuringBuild(r),i[n]=a,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new d("Corrupted configuration, expected array for nodeData: "+e);o(a,e)}))}for(var c=t.name,l=t.layers,f=0,p=l;f<p.length;f++)u(g=p[f]);for(;!M(a);)for(var h=0,m=l;h<m.length;h++){var g=m[h];if((I=i[g.name]).name in a){var v=a[I.name];delete a[I.name];for(var b=0,w=v;b<w.length;b++)s(I,w[b])}}for(var E=[],C=[],S=0,N=t.inputLayers;S<N.length;S++){var A=(g=N[S])[0],k=g[1],D=g[2];y(A in i);var _=(I=i[A]).inboundNodes[k].outputTensors;E.push(_[D])}for(var T=0,O=t.outputLayers;T<O.length;T++){var I;A=(g=O[T])[0],k=g[1],D=g[2],y(A in i),_=(I=i[A]).inboundNodes[k].outputTensors,C.push(_[D])}return new e({inputs:E,outputs:C,name:c})},Object.defineProperty(t.prototype,"stateful",{get:function(){if(this._stateful)throw new d("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var e=0,t=this.layers;e<t.length;e++)if(t[e].stateful)return!0;return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;(0,i.tidy)((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))},t}(gt);function vn(e,t){return function(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"==typeof e&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided "+n+" is an array of "+e.length+" element(s), but the model has "+r+" outputs. Make sure a set of weights is provided for each model output.");return e}if("object"==typeof e&&Object.keys(e).length>0&&"object"==typeof e[Object.keys(e)[0]]){var i=[];return t.forEach((function(t){t in e?i.push(e[t]):i.push(null)})),i}throw new Error("The model has multiple ("+r+") outputs, so "+n+" must be either an array with "+r+" elements or an object with "+t+" keys. Provided "+n+" not understood: "+JSON.stringify(e))}(e,t,"classWeight")}function yn(e,t,n,r){return c(this,void 0,void 0,(function(){var a,o,s,u,c;return l(this,(function(l){switch(l.label){case 0:if(null!=t||null!=r)throw new Error("Support sampleWeight is not implemented yet");return null==n?[3,2]:(a=(0,i.tidy)((function(){if(1===e.shape.length)return e.clone();if(2===e.shape.length){if(e.shape[1]>1)return e.argMax(1);if(1===e.shape[1])return e.reshape([e.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+e.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor ("+e.rank+") during handling of class weights. The rank is expected to be 1 or 2.")})),u=(s=Array).from,[4,a.data()]);case 1:return o=u.apply(s,[l.sent()]),(0,i.dispose)(a),c=[],o.forEach((function(e){if(null==n[e])throw new Error("classWeight must contain all classes in the training data. The class "+e+" exists in the data but not in classWeight");c.push(n[e])})),[2,(0,i.tensor1d)(c,"float32")];case 2:return[2,null]}}))}))}function bn(e,t){return(0,i.mul)(e,t)}function xn(e,t){var n,r,a=t;n=a.xs,r=a.ys,i.util.assert(null!=n&&null!=r,(function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  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(Expected output keys: "+JSON.stringify(e.outputNames)+")"}));for(var c=function(t){i.util.assert(o[t].shape[0]===u,(function(){return"Batch size mismatch: input "+e.inputNames[t]+" has "+o[t].shape[0]+"; expected  "+u+" based on input "+e.inputNames[0]+"."}))},l=0;l<o.length;l++)c(l);for(var f=function(t){i.util.assert(s[t].shape[0]===u,(function(){return"Batch size mismatch: output "+e.outputNames[t]+" has "+s[t].shape[0]+"; expected  "+u+" based on input "+e.inputNames[0]+"."}))},p=0;p<s.length;p++)f(p);return{xs:o,ys:s}}function wn(e,t,n){if(n instanceof i.Tensor)return[n];if(Array.isArray(n))return i.util.assert(n.length===t.length,(function(){return"Received an array of "+n.length+" Tensors, but expected "+t.length+" to match the "+e+" keys "+t+"."})),n;for(var r=[],a=0,o=t;a<o.length;a++){var s=o[a];if(null==n[s])throw new d("The feature data generated by the dataset lacks the required "+e+" key '"+s+"'.");r.push(n[s])}return r}function En(e,t,n){return c(this,void 0,void 0,(function(){var r,a,o,s,u,c,f,p,h,d,g,v,y,b,x,E,C,S,N,A,k,D,_,M,T,O,I,F,R,B,z,P,L,j;return l(this,(function(l){switch(l.label){case 0:if(r=null!=n.batchesPerEpoch,i.util.assert(null!=e.optimizer,(function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."})),i.util.assert(null!=n,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),i.util.assert(null!=n.epochs&&n.epochs>0&&Number.isInteger(n.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive integer, but got "+n.epochs})),i.util.assert(!r||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+n.batchesPerEpoch})),i.util.assert(null==n.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0,l.label=1;case 1:return l.trys.push([1,,26,27]),a=null!=n.validationData,o=void 0,s=void 0,a&&(Cn(n.validationData)?i.util.assert(null==n.validationBatches||n.validationBatches>0&&Number.isInteger(n.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+n.validationBatches})):(u=function(e){if(3===e.length)throw new m("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}(n.validationData),o=u.xs,s=u.ys)),c=e.makeTrainFunction(),f=e.getDedupedMetricsNames(),p=a?f.slice().concat(f.map((function(e){return"val_"+e}))):f.slice(),h=_t(n.callbacks,n.yieldEvery),d=null==n.verbose?1:n.verbose,g=Tt(h,d,n.epochs,null,null,function(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}(t,n),null,a,p),v=g.callbackList,y=g.history,v.setModel(e),e.history=y,[4,v.onTrainBegin()];case 2:return l.sent(),e.stopTraining_=!1,b=null==n.initialEpoch?0:n.initialEpoch,[4,t.iterator()];case 3:x=l.sent(),l.label=4;case 4:return b<n.epochs?(E={},[4,v.onEpochBegin(b)]):[3,23];case 5:return l.sent(),C=0,S=0,r?[3,7]:[4,t.iterator()];case 6:x=l.sent(),l.label=7;case 7:return!r||C<n.batchesPerEpoch?[4,x.next()]:[3,21];case 8:return N=l.sent(),r&&N.done?(console.warn("You provided `batchesPerEpoch` as "+n.batchesPerEpoch+", but your dataset iterator ran out of data after "+C+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+n.batchesPerEpoch*n.epochs+" batches). You may need to use the repeat() function when building your dataset."),[3,21]):null==N.value?[3,15]:(A=xn(e,N.value),k=A.xs,D=A.ys,(_={}).batch=S,_.size=k[0].shape[0],[4,v.onBatchBegin(S,_)]);case 9:if(l.sent(),M=[],null==n.classWeight)return[3,13];T=vn(n.classWeight,e.outputNames),j=0,l.label=10;case 10:return j<T.length?(I=(O=M).push,[4,yn(D[j],null,T[j])]):[3,13];case 11:I.apply(O,[l.sent()]),l.label=12;case 12:return++j,[3,10];case 13:for(F=k.concat(D).concat(M),R=c(F),(0,i.dispose)(F),j=0;j<f.length;++j)B=f[j],z=R[j],_[B]=z,(0,i.keep)(z);return[4,v.onBatchEnd(S,_)];case 14:l.sent(),Ct(_),S++,C++,l.label=15;case 15:return(r?C>=n.batchesPerEpoch:N.done)?a?(P=void 0,Cn(n.validationData)?(L=w,[4,e.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return P=L.apply(void 0,[l.sent()]),[3,18];case 17:P=w(e.evaluate(o,s,{batchSize:null==n.validationBatchSize?32:n.validationBatchSize,verbose:0})),l.label=18;case 18:for(j=0;j<e.metricsNames.length;++j)E["val_"+e.metricsNames[j]]=P[j];l.label=19;case 19:return[3,21];case 20:return e.stopTraining_?[3,21]:[3,7];case 21:return[4,v.onEpochEnd(b,E)];case 22:return l.sent(),b++,e.stopTraining_?[3,23]:[3,4];case 23:return[4,v.onTrainEnd()];case 24:return l.sent(),[4,e.history.syncData()];case 25:return l.sent(),[2,e.history];case 26:return e.isTraining=!1,[7];case 27:return[2]}}))}))}function Cn(e){return"function"==typeof e.iterator}function Sn(e,t,n){return c(this,void 0,void 0,(function(){var r,a,o,s,u,c,f,p,h,d;return l(this,(function(g){switch(g.label){case 0:if(r=null!=(n=n||{}).batches,a=e.testFunction,o=[],n.verbose>0)throw new m("Verbose mode is not implemented yet.");return i.util.assert(!r||n.batches>0&&Number.isInteger(n.batches),(function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(n.batches)})),function(e){return"function"==typeof e.next}(t)?(u=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:u=g.sent(),g.label=3;case 3:s=u,c=0,f=0,p=function(){var t;return l(this,(function(u){switch(u.label){case 0:return[4,s.next()];case 1:return t=u.sent(),o=(0,i.tidy)((function(){if(t.value){var n=xn(e,t.value),r=n.xs,s=n.ys,u=r.concat(s),l=(0,i.tidy)((function(){return a(u)}));if((0,i.dispose)(u),0===f)for(var p=0;p<l.length;++p)o.push((0,i.scalar)(0));var h=u[0].shape[0],d=function(e){var t=l[e],n=o[e];o[e]=(0,i.tidy)((function(){return(0,i.add)(o[e],(0,i.mul)(h,t))})),f>0&&(0,i.dispose)(n)};for(p=0;p<l.length;++p)d(p);(0,i.dispose)(l),c+=h,++f}return o})),t.done?(r&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+n.batches+" batches). You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}}))},g.label=4;case 4:return!r||f<n.batches?[5,p()]:[3,6];case 5:return"break"===g.sent()?[3,6]:[3,4];case 6:for(h=0;h<o.length;++h)d=o[h],o[h]=(0,i.div)(o[h],c),(0,i.dispose)(d);return[2,x(o)]}}))}))}function Nn(e){i.util.assert(e>0&&Number.isInteger(e),(function(){return"batchSize is required to be a positive integer, but got "+e}))}function An(e,t,n){return null==e?[null]:Array.isArray(e)?e.map((function(e){return me(e,t,n-t)})):me(e,t,n-t)}function kn(e,t){return(0,i.tidy)((function(){return null==e?null:Array.isArray(e)?e.map((function(e){return kn(e,t)})):Ce(e,"int32"===t.dtype?t:t.toInt())}))}function Dn(e,t){for(var n=[],r=0,i=null;r<e;)(i=r+t)>=e&&(i=e),n.push([r,i]),r=i;return n}function _n(e,t,n,r,a,o,s,u,f,p,h,g,v,y,b){return c(this,void 0,void 0,(function(){var c,x,w,E,C,S,N,A;return l(this,(function(k){switch(k.label){case 0:if(null==a&&(a=32),null==o&&(o=1),null==h&&(h=!0),null==v&&(v=0),c=!1,null!=f&&null!=p&&(c=!0),null!=b&&(c=!0,null==y))throw new d("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return null!=(x=e.checkNumSamples(n,a,y,"steps_per_epoch"))&&(w=pe(0,x)),null==s&&(s=1),E=Tt(u,s,o,v,x,y,a,c,g),C=E.callbackList,S=E.history,C.setModel(e),e.history=S,[4,C.onTrainBegin()];case 1:k.sent(),e.stopTraining_=!1,N=function(o){var s,u,d,g,v;return l(this,(function(b){switch(b.label){case 0:return[4,C.onEpochBegin(o)];case 1:if(b.sent(),s={},null==y)return[3,2];throw new m("stepsPerEpoch mode is not implemented yet.");case 2:if("batch"===h)throw new m("batch shuffling is not implemneted yet");h&&i.util.shuffle(w),u=(0,i.tensor1d)(w),d=Dn(x,a),g=function(o){var h;return l(this,(function(l){switch(l.label){case 0:return h={},[4,C.onBatchBegin(o,h)];case 1:return l.sent(),(0,i.tidy)((function(){var l=d[o][0],m=d[o][1],g=me(u,l,m-l);h.batch=o,h.size=m-l;for(var v=kn(n,g),y=t(v),b=0;b<r.length;++b){var x=r[b],w=y[b];h[x]=w,(0,i.keep)(w)}if(o===d.length-1&&c){var E=e.testLoop(f,p,a);for(b=0;b<r.length;++b)x=r[b],w=E[b],(0,i.keep)(w),s["val_"+x]=w}})),[4,C.onBatchEnd(o,h)];case 2:return l.sent(),Ct(h),e.stopTraining_?[2,"break"]:[2]}}))},v=0,b.label=3;case 3:return v<d.length?[5,g(v)]:[3,6];case 4:if("break"===b.sent())return[3,6];b.label=5;case 5:return++v,[3,3];case 6:u.dispose(),b.label=7;case 7:return[4,C.onEpochEnd(o,s)];case 8:return b.sent(),e.stopTraining_?[2,"break"]:[2]}}))},A=v,k.label=2;case 2:return A<o?[5,N(A)]:[3,5];case 3:if("break"===k.sent())return[3,5];k.label=4;case 4:return++A,[3,2];case 5:return[4,C.onTrainEnd()];case 6:return k.sent(),[4,e.history.syncData()];case 7:return k.sent(),[2,e.history]}}))}))}function Mn(e,t,n,r){return void 0===r&&(r={}),c(this,void 0,void 0,(function(){var a,o,s,u,c,f,p,h,g,v,y,b,x,w,E,C,S,N,A,k;return l(this,(function(l){switch(l.label){case 0:if(e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0,l.label=1;case 1:return l.trys.push([1,,7,8]),Nn(h=null==r.batchSize?32:r.batchSize),[4,e.standardizeUserData(t,n,r.sampleWeight,r.classWeight,!1,h)];case 2:if(g=l.sent(),a=g[0],o=g[1],p=g[2],v=!1,y=void 0,!(null!=r.validationData&&r.validationData.length>0))return[3,4];if(v=!0,2!==r.validationData.length)throw 3===r.validationData.length?new m("validationData including sample weights is not supported yet."):new d("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+r.validationData+" is invalid.");return s=r.validationData[0],u=r.validationData[1],[4,e.standardizeUserData(s,u,null,null,!0,h)];case 3:return b=l.sent(),c=b[0],f=b[1],y=c.concat(f),[3,5];case 4:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(v=!0,x=Math.floor(a[0].shape[0]*(1-r.validationSplit)),w=a[0].shape[0],c=An(a,x,w),a=An(a,0,x),f=An(o,x,w),o=An(o,0,x),y=c.concat(f)):null!=r.validationSteps&&(v=!0),l.label=5;case 5:return E=a.concat(o).concat(p),e.checkTrainableWeightsConsistency(),C=e.makeTrainFunction(),S=e.getDedupedMetricsNames(),N=void 0,A=void 0,v?(e.makeTestFunction(),N=e.testFunction,A=S.slice().concat(S.map((function(e){return"val_"+e})))):(N=null,y=[],A=S.slice()),k=_t(r.callbacks,r.yieldEvery),[4,_n(e,C,E,S,h,r.epochs,r.verbose,k,N,y,r.shuffle,A,r.initialEpoch,null,null)];case 6:return[2,l.sent()];case 7:return e.isTraining=!1,On(a,t),On(o,n),On(c,s),On(f,u),null!=p&&(0,i.dispose)(p),[7];case 8:return[2]}}))}))}function Tn(e){var t=[];e instanceof i.Tensor&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(de(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function On(e,t){if(null!=e){var n=[];if(t instanceof i.Tensor)n.push(t.id);else if(Array.isArray(t))t.forEach((function(e){return n.push(e.id)}));else if(null!=t)for(var r in t){var a=t[r];n.push(a.id)}var o=[];if(e instanceof i.Tensor)-1===n.indexOf(e.id)&&o.push(e);else if(Array.isArray(e))e.forEach((function(e){-1===n.indexOf(e.id)&&o.push(e)}));else if(null!=e)for(var s in e){var u=e[s];-1===n.indexOf(u.id)&&o.push(u)}o.forEach((function(e){e.isDisposed||e.dispose()}))}}function In(e){return Array.isArray(e)}function Fn(e){return!function(e){return e instanceof i.Tensor}(e)&&!In(e)}function Rn(e,t,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=""),null==t||0===t.length){if(null!=e){var a=!1;if(In(e)&&e.length>0)a=!0;else if(Fn(e)){for(var o in e)if(e.hasOwnProperty(o)){a=!0;break}}else a=!0;if(a)throw new d("Error when checking model "+i+" expected no data, but got "+e)}return[]}if(null==e)return t.map((function(e){return null}));var s;if(Fn(e)){e=e,s=[];for(var u=0,c=t;u<c.length;u++){var l=c[u];if(null==e[l])throw new d('No data provided for "'+l+'". Need data for each key in: '+t);s.push(e[l])}}else if(In(e)){if((e=e).length!==t.length)throw new d("Error when checking model "+i+": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see "+t.length+" Tensor(s), but instead got the following list of Tensor(s): "+e);s=e}else{if(e=e,t.length>1)throw new d("The model "+i+" expects "+t.length+" Tensor(s), but only received one Tensor. Found: Tensor with shape "+e.shape);s=[e]}if(s=Tn(s),null!=n)for(var f=0;f<t.length;++f)if(null!=n[f]){var p=s[f];if(p.shape.length!==n[f].length)throw new d("Error when checking "+i+": expected "+t[f]+" to have "+n[f].length+" dimension(s). but got array with shape "+p.shape);for(var h=0;h<n[f].length;++h)if(0!==h||r){var m=p.shape[h],g=n[f][h];if(null!=g&&g>=0&&m!==g)throw new d("Error when checking "+i+": expected "+t[f]+" to have shape ["+n[f]+"], but got array with shape ["+p.shape+"].")}}return s}function Bn(e,t,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=""),Array.isArray(e)){if(e.length!==t.length)throw new d("Error when checking model "+i+": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see "+t.length+" Tensor(s), but instead got "+e.length+" Tensors(s).");a=e}else{if(t.length>1)throw new d("The model expects "+t.length+" "+i+" Tensors, but only received one Tensor. Found: array with shape "+JSON.stringify(e.shape)+".");a=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=a[o];if(s.shape.length!==n[o].length)throw new d("Error when checking "+i+": expected "+t[o]+" to have "+n[o].length+" dimension(s), but got array with shape "+JSON.stringify(s.shape));for(var u=0;u<n[o].length;++u)if(0!==u||r){var c=s.shape[u],l=n[o][u];if(null!=l&&l!==c)throw new d("Error when checking "+i+": expected "+t[o]+" to have shape "+JSON.stringify(n[o])+" but got array with shape "+JSON.stringify(s.shape)+".")}}}var zn=function(e){function t(t){var n=e.call(this,t)||this;return n.isTraining=!1,n}return o(t,e),t.prototype.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new d("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. 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We assume this was done on purpose, and we will not be expecting data to be passed to '+c+" during training"),n.push(qt(e.loss[c]))}}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var l=0;l<this.outputs.length;++l){var p=this.internalOutputShapes[l],h=this.outputNames[l];this.feedOutputNames.push(h),this.feedOutputShapes.push(p),this.feedLossFns.push(this.lossFunctions[l])}var m=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],ne("loss",(function(){for(var e=0;e<t.outputs.length;++e)if(-1===m.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+"_loss"))}}));var g=function(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return[]}));var n;if("string"==typeof e||"function"==typeof e)n=[e];else{if(!Array.isArray(e)&&"object"!=typeof e)throw new TypeError("Type of metrics argument not understood. 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Did you set `model.trainable` without calling `model.compile()` afterwards?")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;Nn(r);var i=this.standardizeUserDataXY(e,t,!0,r);try{var a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return x(this.testLoop(o,a,r,n.verbose,n.steps))}finally{On(i[0],e),On(i[1],t)}},t.prototype.evaluateDataset=function(e,t){return c(this,void 0,void 0,(function(){return l(this,(function(n){return this.makeTestFunction(),[2,Sn(this,e,t)]}))}))},t.prototype.checkNumSamples=function(e,t,n,r){var i;if(void 0===r&&(r="steps"),null!=n){if(i=null,null!=t)throw new d("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new d("Either the input data should have a defined shape, or "+r+" shoud be specified.");i=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return i},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new d("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),r=n?t:[t],a=this.retrieveSymbolicTensors(r),o=new cn;if(e instanceof i.Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new d("The number of inputs provided ("+e.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var s=0;s<this.inputs.length;++s)o.add(this.inputs[s],e[s])}else for(var u=0,c=this.inputs;u<c.length;u++){var l=c[u],f=e[l.name];if(null==f)throw new d("No value is provided for the model's input "+l.name);o.add(l,f)}var p=pn(a,o);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=v(null,e.length),n=e.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map((function(e){return e.name})),u=0;u<e.length;++u){var c=s.indexOf(e[u]);if(-1!==c&&(t[u]=o[c],n--),0===n)break}if(0===n)break}if(n>0){var l=[];throw t.forEach((function(t,n){null==t&&l.push(e[n])})),new d("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(l))}return t},t.prototype.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),(0,i.tidy)((function(){var a=r.checkNumSamples(e);if(n)throw new m("Verbose predictLoop() is not implemented yet.");for(var o=Dn(a,t),s=r.outputs.map((function(e){return[]})),u=function(t){(0,i.tidy)((function(){var n=o[t][0],i=o[t][1],a=An(e,n,i),s=[];if(Array.isArray(a))for(var u=0;u<a.length;++u)s.push({key:r.inputs[u],value:a[u]});else s.push({key:r.inputs[0],value:a});var c=new cn(s);return pn(r.outputs,c)})).forEach((function(e,t){return s[t].push(e)}))},c=0;c<o.length;++c)u(c);return x(s.map((function(e){return(0,i.concat)(e,0)})))}))},t.prototype.predict=function(e,t){void 0===t&&(t={});var n=Tn(e);Bn(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return Nn(r),this.predictLoop(n,r)}finally{On(n,e)}},t.prototype.predictOnBatch=function(e){Bn(e,this.inputNames,this.feedInputShapes,!0);var t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)},t.prototype.standardizeUserDataXY=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new h("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],o=0;o<this.feedOutputShapes.length;++o){var s=this.feedOutputShapes[o];this.feedLossFns[o]===Pt?a.push(s.slice(0,s.length-1).concat([1])):a.push(s)}if(function(e,t,n){var r=_(e.map((function(e){return e.shape[0]})));r.sort();var a=_(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new d("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map((function(e){return e.shape}))));if(a.length>1)throw new d("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(e){return e.shape}))));if(r.length>0&&a.length>0&&!i.util.arraysEqual(r,a))throw new d("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(e=Rn(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=Rn(t,this.feedOutputNames,a,!1,"target")),function(e,t,n){for(var r=[Ft,Lt,zt],i=0;i<e.length;++i){var a=e[i],o=t[i],s=n[i];if(null!=o){if(o===zt&&1===a.shape[a.shape.length-1])throw new d("You are passing a target array of shape "+a.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=a.shape.slice(1),c=s.slice(1),l=0;l<u.length;++l){var f=u[l],p=c[l];if(null!=p&&f!==p)throw new d("A target Tensor with shape "+a.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new d("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+e[0].shape[0]+" sample(s).");return[e,t]},t.prototype.standardizeUserData=function(e,t,n,r,i,a){return void 0===i&&(i=!0),c(this,void 0,void 0,(function(){var o,s,u,c,f,p,h,d;return l(this,(function(l){switch(l.label){case 0:if(o=this.standardizeUserDataXY(e,t,i,a),s=o[0],u=o[1],null!=n)throw new Error("sample weight is not supported yet.");if(c=null,null==r)return[3,4];f=vn(r,this.outputNames),c=[],p=0,l.label=1;case 1:return p<f.length?(d=(h=c).push,[4,yn(u[p],null,f[p])]):[3,4];case 2:d.apply(h,[l.sent()]),l.label=3;case 3:return++p,[3,1];case 4:return[2,[s,u,c]]}}))}))},t.prototype.testLoop=function(e,t,n,r,a){var o=this;return void 0===r&&(r=0),(0,i.tidy)((function(){var s=o.checkNumSamples(t,n,a,"steps"),u=[];if(r>0)throw new m("Verbose mode is not implemented yet.");if(null!=a)throw new m("steps mode in testLoop() is not implemented yet");for(var c=Dn(s,n),l=(0,i.tensor1d)(pe(0,s)),f=0;f<c.length;++f){var p=c[f][0],h=c[f][1],d=me(l,p,h-p),g=kn(t,d),v=e(g);if(0===f)for(var y=0;y<v.length;++y)u.push((0,i.scalar)(0));for(y=0;y<v.length;++y){var b=v[y];u[y]=(0,i.add)(u[y],(0,i.mul)(h-p,b))}}for(y=0;y<u.length;++y)u[y]=(0,i.div)(u[y],s);return u}))},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],i=r;b(e,r)>1&&(i+="_"+b(e.slice(0,n),r)),t.push(i)}return t},t.prototype.makeTrainFunction=function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),s=[],u=e.collectedTrainableWeights.map((function(e){return e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],u=0;u<e.inputs.length;++u)t.push({key:e.inputs[u],value:r[u]});var c,l=new cn(t),f=pn(e.outputs,l,{training:!0});for(u=0;u<e.lossFunctions.length;++u){var p=(0,e.lossFunctions[u])(a[u],f[u]);null!=o[u]&&(p=bn(p,o[u]));var h=(0,i.mean)(p);n.push(h),c=0===u?p:(0,i.add)(c,p)}for(u=0;u<e.metricsTensors.length;++u){var d=void 0;if(e.outputs.length>1&&u<e.outputs.length)d=n[u];else{var m=e.metricsTensors[u][0],g=e.metricsTensors[u][1];d=(0,i.mean)(m(a[g],f[g]))}(0,i.keep)(d),s.push(d)}return c=(0,i.mean)(c),e.calculateLosses().forEach((function(e){c=(0,i.add)(c,e)})),c}),!0,u)].concat(s)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return(0,i.tidy)((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),o=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),s=[],u=0;u<e.inputs.length;++u)s.push({key:e.inputs[u],value:a[u]});var c=new cn(s),l=pn(e.outputs,c);for(u=0;u<e.lossFunctions.length;++u){var f=e.lossFunctions[u],p=(0,i.mean)(f(o[u],l[u]));n=0===u?p:(0,i.add)(n,p),r.push(n)}for(u=0;u<e.metricsTensors.length;++u){var h=e.metricsTensors[u][0],d=e.metricsTensors[u][1],m=(0,i.mean)(h(o[d],l[d]));r.push(m)}return r}))}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),c(this,void 0,void 0,(function(){return l(this,(function(r){return[2,Mn(this,e,t,n)]}))}))},t.prototype.fitDataset=function(e,t){return c(this,void 0,void 0,(function(){return l(this,(function(n){return[2,En(this,e,t)]}))}))},t.prototype.trainOnBatch=function(e,t){return c(this,void 0,void 0,(function(){var n,r,a,o,s,u,c,f,p;return l(this,(function(l){switch(l.label){case 0:return[4,this.standardizeUserData(e,t)];case 1:n=l.sent(),r=n[0],a=n[1],o=this.makeTrainFunction(),s=o(r.concat(a)),u=[],c=0,f=s,l.label=2;case 2:return c<f.length?[4,f[c].data()]:[3,5];case 3:p=l.sent(),u.push(p[0]),l.label=4;case 4:return c++,[3,2];case 5:return(0,i.dispose)(s),[2,x(u)]}}))}))},t.prototype.getNamedWeights=function(e){for(var t=[],n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||t.push({name:r[a].originalName,tensor:i[a]});return t},Object.defineProperty(t.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=e.prototype.dispose.call(this);if(0===t.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=(0,i.memory)().numTensors;this.optimizer_.dispose(),t.numDisposedVariables+=n-(0,i.memory)().numTensors}return t},t.prototype.getLossIdentifiers=function(){var e;if("string"==typeof this.loss)e=E(this.loss);else if(Array.isArray(this.loss)){for(var t=0,n=this.loss;t<n.length;t++)if("string"!=typeof 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e)return v(e,t);if(e.length!==t)throw new d("The "+n+" argument must be an integer or tuple of "+t+" integers. Received: "+e.length+" elements.");for(var r=0;r<t;++r){var i=e[r];if(!se(i))throw new d("The "+n+" argument must be an integer or tuple of "+t+" integers. Received: "+JSON.stringify(e)+" including a non-integer number "+i)}return e}function wr(e,t,n,r,i){return void 0===i&&(i=1),null==e?e:(a="same"===n?e:e-(t+(t-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function Er(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+fe([n-t,0]);else{if("same"!==r)throw new d("Unsupport padding mode: "+r+".");e*=t}return e}function Cr(e,t){return(0,i.tidy)((function(){return Z(t),"channelsFirst"===t?(0,i.transpose)(e,[0,2,3,1]):e}))}function Sr(e,t){return(0,i.tidy)((function(){return Z(t),"channelsFirst"===t?(0,i.transpose)(e,[0,2,3,4,1]):e}))}function Nr(e,t,n,r,a,o,s,u){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),void 0===u&&(u=null),(0,i.tidy)((function(){if(null==o&&(o="channelsLast"),Z(o),3!==e.rank&&4!==e.rank)throw new d("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==t.rank&&4!==t.rank)throw new d("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+e.rank+".");var c=Cr(e,o);if("causal"===a)throw new m("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return c=i.fused.conv2d({x:c,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:s,dataFormat:"NHWC",bias:n,activation:u}),"channelsFirst"===o&&(c=(0,i.transpose)(c,[0,3,1,2])),c}))}i.serialization.registerClass(br);var Ar=function(e){function t(n,r){var i=e.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyArgs(r),i.rank=n,I(i.rank,"rank"),1!==i.rank&&2!==i.rank&&3!==i.rank)throw new m("Convolution layer for rank other than 1, 2, or 3 ("+i.rank+") is not implemented yet.");if(i.kernelSize=xr(r.kernelSize,n,"kernelSize"),i.strides=xr(null==r.strides?1:r.strides,n,"strides"),i.padding=null==r.padding?"valid":r.padding,Q(i.padding),i.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,Z(i.dataFormat),i.activation=or(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=Ye(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=$(r.biasConstraint),i.biasRegularizer=hr(r.biasRegularizer),i.activityRegularizer=hr(r.activityRegularizer),i.dilationRate=xr(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new d("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(i.dilationRate));if(2===i.rank){if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new d("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(i.dilationRate))}else if(3===i.rank)if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate,i.dilationRate];else if(3!==i.dilationRate.length)throw new d("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(i.dilationRate));return i}return o(t,e),t.verifyArgs=function(e){if(y("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!O(e.kernelSize,"number",1,3))throw new d("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ir(this.activation),useBias:this.useBias,biasInitializer:Xe(this.biasInitializer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),biasConstraint:W(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(gt),kr=function(e){function t(n,r){var i=e.call(this,n,r)||this;return i.kernel=null,t.verifyArgs(r),i.filters=r.filters,I(i.filters,"filters"),i.kernelInitializer=Ye(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=$(r.kernelConstraint),i.kernelRegularizer=hr(r.kernelRegularizer),i}return o(t,e),t.prototype.build=function(e){var t;e=at(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new d("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(t={},t[n]=r,t)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var t;e=it(e);var r=null==n.bias?null:n.bias.read(),a=R(n.activation.getClassName());if(null!=a&&2===n.rank)t=Nr(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=function(e,t,n,r,a,o,s){return void 0===r&&(r=1),void 0===a&&(a="valid"),void 0===s&&(s=1),(0,i.tidy)((function(){if(null==o&&(o="channelsLast"),Z(o),3!==e.shape.length)throw new d("The input of a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead.");if(3!==t.shape.length)throw new d("The kernel for a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new d("The bias for a conv1dWithBias operation should be 1, but is "+t.shape.length+" instead");if("channelsFirst"===o&&(e=(0,i.transpose)(e,[0,2,1])),"causal"===a)throw new m("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var u=(0,i.conv1d)(e,t,r,"same"===a?"same":"valid","NWC",s);return null!=n&&(u=Ae(u,n)),u}))}(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=Nr(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new m("convolutions greater than 3D are not implemented yet.");t=function(e,t,n,r,a,o,s){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),(0,i.tidy)((function(){if(null==o&&(o="channelsLast"),Z(o),4!==e.rank&&5!==e.rank)throw new d("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==t.rank&&5!==t.rank)throw new d("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var u=Sr(e,o);if("causal"===a)throw new m("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return u=(0,i.conv3d)(u,t,r,"same"===a?"same":"valid","NDHWC",s),null!=n&&(u=Ae(u,n)),"channelsFirst"===o&&(u=(0,i.transpose)(u,[0,4,1,2,3])),u}))}(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))},t.prototype.computeOutputShape=function(e){e=at(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var i=wr(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(i)}var a=[e[0]];return"channelsLast"===this.dataFormat?(a=a.concat(t)).push(this.filters):(a.push(this.filters),a=a.concat(t)),a},t.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:Xe(this.kernelInitializer),kernelRegularizer:fr(this.kernelRegularizer),kernelConstraint:W(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyArgs=function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new d("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(Ar),Dr=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyArgs(n),r}return o(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!O(e.kernelSize,"number",1,2))throw new d("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv2D",t}(kr);i.serialization.registerClass(Dr);var _r=function(e){function t(n){var r=e.call(this,3,n)||this;return t.verifyArgs(n),r}return o(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new d("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv3D",t}(kr);i.serialization.registerClass(_r);var Mr=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new ft({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new d("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return o(t,e),t.prototype.build=function(e){var t;if(4!==(e=at(e)).length)throw new d("Input should have rank 4; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new d("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",i,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ft({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var t=it(e);if(4!==t.shape.length)throw new d("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var r,a,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var u=o[r],c=o[a],l=n.kernelSize[0],f=n.kernelSize[1],p=n.strides[0],h=n.strides[1],m=[s,Er(u,p,l,n.padding),Er(c,h,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=(0,i.transpose)(t,[0,2,3,1]));var g=(0,i.conv2dTranspose)(t,n.kernel.read(),m,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(g=(0,i.transpose)(g,[0,3,1,2])),null!=n.bias&&(g=Ae(g,n.bias.read(),n.dataFormat)),null!=n.activation&&(g=n.activation.apply(g)),g}))},t.prototype.computeOutputShape=function(e){var t,n,r,i=(e=at(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return i[t]=this.filters,i[n]=Er(i[n],s,a,this.padding),i[r]=Er(i[r],u,o,this.padding),i},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className="Conv2DTranspose",t}(Dr);i.serialization.registerClass(Mr);var Tr=function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new d("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new d("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new d("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=Ye(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=hr(n.depthwiseRegularizer),r.depthwiseConstraint=$(n.depthwiseConstraint),r.pointwiseInitializer=Ye(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=hr(n.pointwiseRegularizer),r.pointwiseConstraint=$(n.pointwiseConstraint),r}return o(t,e),t.prototype.build=function(e){var t;if((e=at(e)).length<this.rank+2)throw new d("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new d("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],i=this.kernelSize.concat([r,this.depthMultiplier]),a=[],o=0;o<this.rank;++o)a.push(1);a.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",i,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new ft({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var t;if(e=it(e),1===n.rank)throw new m("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=(0,i.transpose)(e,[0,2,3,1])),t=(0,i.separableConv2d)(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Ae(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=(0,i.transpose)(t,[0,3,1,2])),t}))},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=Xe(this.depthwiseInitializer),t.pointwiseInitializer=Xe(this.pointwiseInitializer),t.depthwiseRegularizer=fr(this.depthwiseRegularizer),t.pointwiseRegularizer=fr(this.pointwiseRegularizer),t.depthwiseConstraint=W(this.depthwiseConstraint),t.pointwiseConstraint=W(this.pointwiseConstraint),t},t.className="SeparableConv",t}(kr),Or=function(e){function t(t){return e.call(this,2,t)||this}return o(t,e),t.className="SeparableConv2D",t}(Tr);i.serialization.registerClass(Or);var Ir=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return o(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!O(e.kernelSize,"number",1,1))throw new d("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv1D",t}(kr);i.serialization.registerClass(Ir);var Fr=function(e){function t(t){var n=e.call(this,t)||this;return"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}return o(t,e),t.prototype.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){return e=it(e),"channelsLast"===n.dataFormat?ve(ve(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):ve(ve(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Cropping2D",t}(gt);i.serialization.registerClass(Fr);var Rr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,n}return o(t,e),t.prototype.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}return t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2],[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var t=it(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=(0,i.transpose)(t,[0,2,3,1]);var a=n.size[0]*r[2],o=n.size[1]*r[3],s=t.resizeNearestNeighbor([a,o]);return(0,i.transpose)(s,[0,3,1,2])}return a=n.size[0]*r[1],o=n.size[1]*r[2],t.resizeNearestNeighbor([a,o])}))},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="UpSampling2D",t}(gt);i.serialization.registerClass(Rr);var Br=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=Ye(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=$(t.depthwiseConstraint),n.depthwiseRegularizer=hr(t.depthwiseRegularizer),n}return o(t,e),t.prototype.build=function(e){if((e=at(e)).length<4)throw new d("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new d("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var t=function(e,t,n,r,a,o){return void 0===n&&(n=[1,1]),void 0===r&&(r="valid"),(0,i.tidy)((function(){null==a&&(a="channelsLast"),Z(a);var o=Cr(e,a);if(4!==e.rank)throw new d("Input for depthwiseConv2d is required to be 4-D, but is instead "+e.rank+"-D");if(4!==t.rank)throw new d("depthwiseKernel is required to be 4-D, but is instead "+t.rank+"-D");return o=(0,i.depthwiseConv2d)(o,t,n,"same"===r?"same":"valid","NHWC",null),"channelsFirst"===a&&(o=(0,i.transpose)(o,[0,3,1,2])),o}))}(e=it(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat);return n.useBias&&(t=Ae(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))},t.prototype.computeOutputShape=function(e){e=at(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,i=wr(t,this.kernelSize[0],this.padding,this.strides[0]),a=wr(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,i,a]:[e[0],i,a,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=Xe(this.depthwiseInitializer),t.depthwiseRegularizer=fr(this.depthwiseRegularizer),t.depthwiseConstraint=W(this.depthwiseRegularizer),t},t.className="DepthwiseConv2D",t}(Ar);i.serialization.registerClass(Br);var zr=function(e){function t(t){var n=e.call(this,t)||this;return n.rate=Math.max(Math.min(t.rate,1),0),n.noiseShape=t.noiseShape,n.seed=t.seed,n.supportsMasking=!0,n}return o(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e);if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,a=n.getNoiseShape(r);return De((function(){return ke(r,n.rate,a,n.seed)}),(function(){return r}),i)}return e}))},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.prototype.dispose=function(){return e.prototype.dispose.call(this)},t.className="Dropout",t}(gt);i.serialization.registerClass(zr);var Pr=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[{ndim:3}],n}return o(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t.className="SpatialDropout1D",t}(zr);i.serialization.registerClass(Pr);var Lr=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,I(n.units,"units"),n.activation=or(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=Ye(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Ye(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=$(t.kernelConstraint),n.biasConstraint=$(t.biasConstraint),n.kernelRegularizer=hr(t.kernelRegularizer),n.biasRegularizer=hr(t.biasRegularizer),n.activityRegularizer=hr(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return o(t,e),t.prototype.build=function(e){var t,n=(e=at(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=at(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r,i=it(e),a=R(n.activation.getClassName());return null!=a?r=Ee(i,n.kernel.read(),a,n.bias?n.bias.read():null):(r=Ee(i,n.kernel.read()),null!=n.bias&&(r=Ae(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},t.prototype.getConfig=function(){var t={units:this.units,activation:ir(this.activation),useBias:this.useBias,kernelInitializer:Xe(this.kernelInitializer),biasInitializer:Xe(this.biasInitializer),kernelRegularizer:fr(this.kernelRegularizer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),kernelConstraint:W(this.kernelConstraint),biasConstraint:W(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dense",t}(gt);i.serialization.registerClass(Lr);var jr=function(e){function t(t){var n=this;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}return o(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=at(e)).slice(1);t<n.length;t++)if(null==n[t])throw new d('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[e[0],ue(e,1)]},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var i=[0],a=2;a<r.rank;++a)i.push(a);i.push(1),r=r.transpose(i)}return function(e){if(e.rank<=1)throw new d("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],ue(e.shape,1)];return e.reshape(t)}(r)}))},t.prototype.getConfig=function(){var t={};null!=this.dataFormat&&(t.dataFormat=this.dataFormat);var n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Flatten",t}(gt);i.serialization.registerClass(jr);var Ur=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=or(t.activation),n}return o(t,e),t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e);return n.activation.apply(r)}))},t.prototype.getConfig=function(){var t={activation:ir(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Activation",t}(gt);i.serialization.registerClass(Ur);var qr=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return o(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){return function(e,t){return(0,i.tidy)((function(){if(2!==e.shape.length)throw new d("repeat() expects a rank-2 tensor, but received a rank-"+e.shape.length+" tensor.");return xe(de(e,1),[1,t,1])}))}(e=it(e),n.n)}))},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="RepeatVector",t}(gt);i.serialization.registerClass(qr);var Wr=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return o(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new d("Can only specifiy one unknown dimension.");a=o}else i*=s}var u=ue(e);if(null!==a){if(0===i||u%i!=0)throw new d(n);r[a]=u/i}else if(u!==i)throw new d(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e),i=r.shape,a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)}))},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Reshape",t}(gt);i.serialization.registerClass(Wr);var Vr=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var r=pe(1,t.dims.length+1);if(!i.util.arraysEqual(t.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new ft({ndim:n.dims.length+1})],n}return o(t,e),t.prototype.computeOutputShape=function(e){var t=(e=at(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t},t.prototype.call=function(e,t){return(0,i.transpose)(it(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Permute",t}(gt);i.serialization.registerClass(Vr);var $r=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.supportsMasking=!0,n.maskValue=null!=t?null==t.maskValue?0:t.maskValue:0,n}return o(t,e),t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,t),n},t.prototype.computeMask=function(e,t){var n=it(e);return(0,i.any)((0,i.notEqual)(n,this.maskValue),-1)},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e),a=(0,i.any)((0,i.notEqual)(r,n.maskValue),-1,!0);return r.mul(a.asType(r.dtype))}))},t.className="Masking",t}(gt);i.serialization.registerClass($r);var Hr=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(w(t.inputLength))}return n.inputDim=t.inputDim,I(n.inputDim,"inputDim"),n.outputDim=t.outputDim,I(n.outputDim,"outputDim"),n.embeddingsInitializer=Ye(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=hr(t.embeddingsRegularizer),n.activityRegularizer=hr(t.activityRegularizer),n.embeddingsConstraint=$(t.embeddingsConstraint),n.maskZero=t.maskZero,n.supportsMasking=t.maskZero,n.inputLength=t.inputLength,n}return o(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){var n=this;return(0,i.tidy)((function(){return n.maskZero?(e=it(e),(0,i.notEqual)(e,(0,i.zerosLike)(e))):null}))},t.prototype.computeOutputShape=function(e){if(e=at(e),null==this.inputLength)return e.concat([this.outputDim]);var t=w(this.inputLength);if(t.length!==e.length-1)throw new d('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var i=t[r],a=e[r+1];if(null!=i&&null!=a&&i!==a)throw new d('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==i&&(t[n]=a),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e);return"int32"!==r.dtype&&(r=he(r,"int32")),Ce(n.embeddings.read(),r.as1D()).reshape(at(n.computeOutputShape(r.shape)))}))},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Xe(this.embeddingsInitializer),embeddingsRegularizer:fr(this.embeddingsRegularizer),activityRegularizer:fr(this.activityRegularizer),embeddingsConstraint:W(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Embedding",t}(gt);i.serialization.registerClass(Hr);var Gr=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return o(t,e),t.prototype.mergeFunction=function(e){throw new m},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var i=e[e.length-t.length+r],a=t[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new d("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(i)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[at(e)]),(e=e).length<2)throw new d("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t=[],n=0,r=e;n<r.length;n++)null!=(o=r[n])&&null!==o[0]&&t.push(o[0]);if((t=_(t)).length>1)throw new d("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var i=null==e[0]?null:e[0].slice(1),a=1;a<e.length;++a){var o=null==e[a]?null:e[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===_(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){if(e=e,n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){for(var a=fe(r),o=0,s=e;o<s.length;o++){for(var u=(h=s[o]).rank,c=0;c<a-u;++c)h=de(h,1);t.push(h)}return n.mergeFunction(t)}for(var l=!1,f=0,p=e;f<p.length;f++){var h;if(null==(u=(h=p[f]).rank)){var d=h.shape,m=d[0],g=d.slice(1).concat([m]),v=h.reshape([m].concat(ue(d.slice(1))));v=(v=(0,i.transpose)(v,[1,0])).reshape(g),t.push(v),l=!0}else if(u>1){var y=pe(1,u).concat([0]);t.push((0,i.transpose)(h,y)),l=!0}else t.push(h)}var b=n.mergeFunction(t),x=b.rank;if(l)if(null==x){var w=b.shape;g=[m=w[w.length-1]].concat(w.slice(0,w.length-1)),b=(0,i.transpose)(b.reshape([-1,m]),[1,0]).reshape(g)}else x>1&&(y=[x-1].concat(pe(0,x-1)),b=(0,i.transpose)(b,y));return b}return n.mergeFunction(e)}))},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var i=[],a=0,o=e;a<o.length;a++)null!=(r=o[a])&&null!==r[0]&&i.push(r[0]);return 1===(i=_(i)).length?i.concat(t):[null].concat(t)},t.prototype.computeMask=function(e,t){return(0,i.tidy)((function(){if(null==t)return null;if(!Array.isArray(t))throw new d("`mask` should be an Array");if(!Array.isArray(e))throw new d("`inputs` should be an Array");if(t.length!==e.length)throw new d("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+e.length+" vs "+t.length+")");if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:(0,i.expandDims)(e,0)})))[0],r=1;r<t.length-1;++r)n=(0,i.logicalAnd)(n,t[r]);return n}))},t}(gt),Kr=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.mergeFunction=function(e){return(0,i.tidy)((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=(0,i.add)(t,e[n]);return t}))},t.className="Add",t}(Gr);i.serialization.registerClass(Kr);var Xr=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.mergeFunction=function(e){return(0,i.tidy)((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=(0,i.mul)(t,e[n]);return t}))},t.className="Multiply",t}(Gr);i.serialization.registerClass(Xr);var Yr=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.mergeFunction=function(e){return(0,i.tidy)((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=(0,i.add)(t,e[n]);return(0,i.mul)(1/e.length,t)}))},t.className="Average",t}(Gr);i.serialization.registerClass(Yr);var Jr=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.mergeFunction=function(e){return(0,i.tidy)((function(){for(var t=e[0],n=1;n<e.length;++n)t=(0,i.maximum)(t,e[n]);return t}))},t.className="Maximum",t}(Gr);i.serialization.registerClass(Jr);var Zr=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.mergeFunction=function(e){return(0,i.tidy)((function(){for(var t=e[0],n=1;n<e.length;++n)t=(0,i.minimum)(t,e[n]);return t}))},t.className="Minimum",t}(Gr);i.serialization.registerClass(Zr);var Qr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return o(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new d("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t=!0,n=0,r=e=e;n<r.length;n++)if(null!=(f=r[n])){t=!1;break}if(!t){for(var a=[],o=0;o<e.length;++o){var s=e[o].slice();s.splice(this.axis,1);for(var u=!1,c=0,l=a;c<l.length;c++){var f=l[c];if(i.util.arraysEqual(f,s)){u=!0;break}}u||a.push(s)}if(a.length>1)throw new d("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return(0,i.tidy)((function(){return ye(e,t.axis)}))},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new d("A `Concatenate` layer should be called on a list of inputs.");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=t.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.computeMask=function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new d("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new d("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new d("Mismatch in the length of mask ("+t.length+") and the legnth of inputs ("+e.length+")");return(0,i.tidy)((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],o=0;o<e.length;++o)null==t[o]?a.push((0,i.onesLike)(e[o]).asType("bool")):t[o].rank<e[o].rank?a.push((0,i.expandDims)(t[o],-1)):a.push(t[o]);var s=(0,i.concat)(a,n.axis);return(0,i.all)(s,-1,!1)}))},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Concatenate",t}(Gr);function ei(e,t){for(;e<0;)e+=t;return e}i.serialization.registerClass(Qr);var ti=function(e){function t(t){var n=e.call(this,t)||this;return n.axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return o(t,e),t.prototype.build=function(e){i.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new m("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new d("Dimension incompatibility: "+t[r[0]]+" !== "+n[r[1]])},t.prototype.mergeFunction=function(e){if(2!==e.length)throw new d("A `Dot` layer must be called on exactly 2 inputs, but received "+e.length+" input(s).");var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return ei(t,e[n].shape.length)})):[ei(this.axes,n.shape.length),ei(this.axes,r.shape.length)],this.normalize&&(n=It(n,t[0]),r=It(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new m("batchDot is not implemented for tensors of 4D or higher rank yet");if(i.util.assert(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+e.shape.length})),i.util.assert(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, but got "+t.shape.length})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new m("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var o=n;return(0,i.tidy)((function(){var n,i;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else if(a>r){for(n=a-r,s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else n=0;if(2===e.shape.length&&2===t.shape.length)i=o[0]===o[1]?e.mulStrict(t).sum(o[0]):e.transpose([1,0]).mulStrict(t).sum(o[1]);else{var c=o[0]!==e.shape.length-1,l=o[1]===t.shape.length-1;i=e.matMul(t,c,l)}if(n>0){var f,p=[];for(u=f=r>a?r+a-3:r-1;u<f+n;++u)p.push(u);i=i.squeeze(p)}return 1===i.shape.length&&(i=i.expandDims(1)),i}))}(n,r,t)},t.prototype.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[ei(this.axes,e.length),ei(this.axes,t.length)]},t.prototype.computeOutputShape=function(e){i.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new m("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a},t.prototype.computeMask=function(e,t){return null},t.prototype.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dot",t}(Gr);i.serialization.registerClass(ti);var ni=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.stddev=t.stddev,n}return o(t,e),t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,t),n},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e);return De((function(){return we(r.shape,0,n.stddev).add(r)}),(function(){return r}),t.training||!1)}))},t.className="GaussianNoise",t}(gt);i.serialization.registerClass(ni);var ri=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.rate=t.rate,n}return o(t,e),t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t);var r=it(e);return n.rate>0&&n.rate<1?De((function(){var e=Math.sqrt(n.rate/(1-n.rate));return r.mul(we(r.shape,1,e))}),(function(){return r}),t.training||!1):r}))},t.className="GaussianDropout",t}(gt);i.serialization.registerClass(ri);var ii=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.rate=t.rate,n.noiseShape=t.noiseShape,n}return o(t,e),t.prototype._getNoiseShape=function(e){return this.noiseShape||it(e).shape},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return De((function(){var t=it(e),a=-1.7580993408473766,o=(0,i.greaterEqual)((0,i.randomUniform)(r),n.rate);o=he(o,"float32");var s=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),u=-s*a*n.rate;return t.mul(o).add(o.add(-1).mul(a)).mul(s).add(u)}),(function(){return it(e)}),t.training||!1)}return e}))},t.className="AlphaDropout",t}(gt);function ai(e,t,n,r,a,o){var s;if(void 0===o&&(o=.001),2===e.rank)s=(0,i.batchNorm2d)(e,t,n,r,a,o);else if(3===e.rank)s=(0,i.batchNorm3d)(e,t,n,r,a,o);else{if(4!==e.rank)throw new m("batchNormalization is not implemented for array of rank "+e.rank+" yet");s=(0,i.batchNorm4d)(e,t,n,r,a,o)}return s}i.serialization.registerClass(ii);var oi=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=Ye(t.betaInitializer||"zeros"),n.gammaInitializer=Ye(t.gammaInitializer||"ones"),n.movingMeanInitializer=Ye(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Ye(t.movingVarianceInitializer||"ones"),n.betaConstraint=$(t.betaConstraint),n.gammaConstraint=$(t.gammaConstraint),n.betaRegularizer=hr(t.betaRegularizer),n.gammaRegularizer=hr(t.gammaRegularizer),n}return o(t,e),t.prototype.build=function(e){var t;e=at(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new d("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new ft({ndim:e.length,axes:(t={},t[n]=r,t)})];var i=[r];this.scale&&(this.gamma=this.addWeight("gamma",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var r=null!=t.training&&t.training,a=it(e),o=a.shape,s=o.length,u=pe(0,s),c=n.axis>=0?n.axis:n.axis+s;u.splice(c,1);var l=v(1,s);l[c]=o[c];var f=u.slice();f.sort();var p=!i.util.arraysEqual(f,pe(0,s).slice(0,s-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(l),t=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,i=n.scale?n.gamma.read().reshape(l):null;return ai(a,e,t,r,i,n.epsilon)}return ai(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(e,t,n,r,a){return void 0===a&&(a=.001),i.util.arraysEqual(r.slice().sort(),pe(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),(0,i.tidy)((function(){var o=(0,i.moments)(e,r),s=o.mean,u=o.variance;return[ai(e,s,u,n,t,a),s,u]}))}(e,t,n,r,a):function(e,t,n,r,a){return void 0===a&&(a=.001),(0,i.tidy)((function(){for(var o=(0,i.moments)(e,r),s=o.mean,u=o.variance,c=[],l=0,f=pe(0,e.rank);l<f.length;l++){var p=f[l];-1!==r.indexOf(p)?c.push(1):c.push(e.shape[p])}var h=s.reshape(c),d=u.reshape(c),m=null==t?null:t.reshape(c),g=null==n?null:n.reshape(c);return[ai(e,h,d,g,m,a),s,u]}))}(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),u,n.epsilon),d=h[0],m=h[1],g=h[2],y=function(e,t,n){(0,i.tidy)((function(){var r=1-n,i=e.read(),a=i.sub(t).mul(r);e.write(i.sub(a))}))};return y(n.movingMean,m,n.momentum),y(n.movingVariance,g,n.momentum),d}))},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Xe(this.betaInitializer),gammaInitializer:Xe(this.gammaInitializer),movingMeanInitializer:Xe(this.movingMeanInitializer),movingVarianceInitializer:Xe(this.movingVarianceInitializer),betaRegularizer:fr(this.betaRegularizer),gammaRegularizer:fr(this.gammaRegularizer),betaConstraint:W(this.betaConstraint),gammaConstraint:W(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="BatchNormalization",t}(gt);i.serialization.registerClass(oi);var si=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).axis=null==t.axis?-1:t.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r=0,i=n.axis;r<i.length;r++){var a=i[r];if(!Number.isInteger(a))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=Ye(t.betaInitializer||"zeros"),n.gammaInitializer=Ye(t.gammaInitializer||"ones"),n.betaRegularizer=hr(t.betaRegularizer),n.gammaRegularizer=hr(t.gammaRegularizer),n.supportsMasking=!0,n}return o(t,e),t.prototype.build=function(e){var t=(e=at(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);for(var r=0,i=this.axis;r<i.length;r++){var a=i[r];if(a<0||a>=t)throw new Error("Invalid axis: "+a)}if(this.axis.length!==_(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},t.prototype.call=function(e,t){var n=this,r=it(e),a=r.shape,o=a.length;return(0,i.tidy)((function(){for(var e=(0,i.moments)(r,n.axis,!0),t=e.mean,s=e.variance,u=v(1,o),c=0,l=n.axis;c<l.length;c++){var f=l[c];u[f]=a[f]}for(var p=function(e){return null!=e&&e.shape.length!==o&&n.axis!==[o-1]?e.reshape(u):e},h=p(n.gamma.read()),d=p(n.beta.read()),m=[],g=[],y=0;y<o;++y)-1!==n.axis.indexOf(y)?(m.push(a[y]),g.push(1)):(m.push(1),g.push(a[y]));return t=t.tile(m),s=s.tile(m),h=h.tile(g),d=d.tile(g),ai(r,t,s,d,h,n.epsilon)}))},t.prototype.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Xe(this.betaInitializer),gammaInitializer:Xe(this.gammaInitializer),betaRegularizer:fr(this.betaRegularizer),gammaRegularizer:fr(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="LayerNormalization",t}(gt);i.serialization.registerClass(si);var ui=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new d("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r=void 0,i=void 0;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new d("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new d("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new ft({ndim:4})],n}return o(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=at(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){return function(e,t,n){return(0,i.tidy)((function(){if(4!==e.rank)throw new d("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new d("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new d("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return r="channelsFirst"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],(0,i.pad)(e,r)}))}(it(e),n.padding,n.dataFormat)}))},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ZeroPadding2D",t}(gt);function ci(e,t,n,r,a,o){return(0,i.tidy)((function(){var s;Z(a),ee(o),Q(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==o&&(o="max"),e=Cr(e,a);var u="same"===r?"same":"valid";return s="max"===o?(0,i.maxPool)(e,t,n,u):(0,i.avgPool)(e,t,n,u),"channelsFirst"===a&&(s=(0,i.transpose)(s,[0,3,1,2])),s}))}function li(e,t,n,r,a,o){return(0,i.tidy)((function(){var s;Z(a),ee(o),Q(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==o&&(o="max"),e=Sr(e,a);var u="same"===r?"same":"valid";return s="max"===o?(0,i.maxPool3d)(e,t,n,u):(0,i.avgPool3d)(e,t,n,u),"channelsFirst"===a&&(s=(0,i.transpose)(s,[0,4,1,2,3])),s}))}i.serialization.registerClass(ui);var fi=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new d("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(I(n.poolSize,"poolSize"),null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new d("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return I(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,Q(n.padding),n.inputSpec=[new ft({ndim:3})],n}return o(t,e),t.prototype.computeOutputShape=function(e){var t=wr((e=at(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){n.invokeCallHook(e,t),e=de(it(e),2);var r=n.poolingFunction(it(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return(0,i.squeeze)(r,[2])}))},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(gt),pi=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return Z(i),Q(r),ci(e,t,n,r,i,"max")},t.className="MaxPooling1D",t}(fi);i.serialization.registerClass(pi);var hi=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return Z(i),Q(r),ci(e,t,n,r,i,"avg")},t.className="AveragePooling1D",t}(fi);i.serialization.registerClass(hi);var di=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new d("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return I(n.poolSize,"poolSize"),I(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,Z(n.dataFormat),Q(n.padding),n.inputSpec=[new ft({ndim:4})],n}return o(t,e),t.prototype.computeOutputShape=function(e){e=at(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=wr(t,this.poolSize[0],this.padding,this.strides[0]),n=wr(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){return n.invokeCallHook(e,t),n.poolingFunction(it(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(gt),mi=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return Z(i),Q(r),ci(e,t,n,r,i,"max")},t.className="MaxPooling2D",t}(di);i.serialization.registerClass(mi);var gi=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return Z(i),Q(r),ci(e,t,n,r,i,"avg")},t.className="AveragePooling2D",t}(di);i.serialization.registerClass(gi);var vi=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new d("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides,t.strides];return I(n.poolSize,"poolSize"),I(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,Z(n.dataFormat),Q(n.padding),n.inputSpec=[new ft({ndim:5})],n}return o(t,e),t.prototype.computeOutputShape=function(e){e=at(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=wr(t,this.poolSize[0],this.padding,this.strides[0]),n=wr(n,this.poolSize[1],this.padding,this.strides[1]),r=wr(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){return n.invokeCallHook(e,t),n.poolingFunction(it(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(gt),yi=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return Z(i),Q(r),li(e,t,n,r,i,"max")},t.className="MaxPooling3D",t}(vi);i.serialization.registerClass(yi);var bi=function(e){function t(t){return e.call(this,t)||this}return o(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return Z(i),Q(r),li(e,t,n,r,i,"avg")},t.className="AveragePooling3D",t}(vi);i.serialization.registerClass(bi);var xi=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new ft({ndim:3})],n}return o(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new m},t}(gt),wi=function(e){function t(t){return e.call(this,t||{})||this}return o(t,e),t.prototype.call=function(e,t){return(0,i.tidy)((function(){var t=it(e);return(0,i.mean)(t,1)}))},t.className="GlobalAveragePooling1D",t}(xi);i.serialization.registerClass(wi);var Ei=function(e){function t(t){return e.call(this,t||{})||this}return o(t,e),t.prototype.call=function(e,t){return(0,i.tidy)((function(){var t=it(e);return(0,i.max)(t,1)}))},t.className="GlobalMaxPooling1D",t}(xi);i.serialization.registerClass(Ei);var Ci=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,Z(n.dataFormat),n.inputSpec=[new ft({ndim:4})],n}return o(t,e),t.prototype.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new m},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(gt),Si=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return o(t,e),t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var t=it(e);return"channelsLast"===n.dataFormat?(0,i.mean)(t,[1,2]):(0,i.mean)(t,[2,3])}))},t.className="GlobalAveragePooling2D",t}(Ci);i.serialization.registerClass(Si);var Ni=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return o(t,e),t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var t=it(e);return"channelsLast"===n.dataFormat?(0,i.max)(t,[1,2]):(0,i.max)(t,[2,3])}))},t.className="GlobalMaxPooling2D",t}(Ci);function Ai(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new d("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function i(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=i(t),constants:n=i(n)}}function ki(e,t,n,r,a,o,s,u){return void 0===r&&(r=!1),void 0===s&&(s=!1),void 0===u&&(u=!1),(0,i.tidy)((function(){var c=t.shape.length;if(c<3)throw new d("Input should be at least 3D, but is "+c+"D.");var l=[1,0].concat(pe(2,c));if(t=(0,i.transpose)(t,l),null!=o)throw new m("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===c-1&&(a=(0,i.expandDims)(a,-1)),a=(0,i.transpose)(a,l)),r&&(t=(0,i.reverse)(t,0),null!=a&&(a=(0,i.reverse)(a,0)));var f,p,h=[],g=n,v=t.shape[0],y=(0,i.unstack)(t);null!=a&&(p=(0,i.unstack)(a));for(var b,x=function(t){var n=y[t],r=(0,i.tidy)((function(){return e(n,g)}));if(null==a)f=r[0],g=r[1];else{var o=(0,i.tidy)((function(){var e=p[t],n=(0,i.onesLike)(e).sub(e);return{output:r[0].mul(e).addStrict(g[0].mul(n)),newStates:g.map((function(t,i){return r[1][i].mul(e).addStrict(t.mul(n))}))}}));f=o.output,g=o.newStates}u&&h.push(f)},w=0;w<v;++w)x(w);return u&&(b=(0,i.stack)(h,1)),[f,b,g]}))}i.serialization.registerClass(Ni);var Di=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new d("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(t.cell)?new Bi({cells:t.cell}):t.cell).stateSize)throw new d("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new ft({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return o(t,e),t.prototype.getStates=function(){return null==this.states_?pe(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_},t.prototype.setStates=function(e){this.states_=e},t.prototype.computeOutputShape=function(e){nt(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var i=[],a=0,o=t;a<o.length;a++){var s=o[a];i.push([e[0],s])}return[n].concat(i)}return n},t.prototype.computeMask=function(e,t){var n=this;return(0,i.tidy)((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))},Object.defineProperty(t.prototype,"states",{get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e},enumerable:!0,configurable:!0}),t.prototype.build=function(e){if(null!=this.numConstants)throw new m("Constants support is not implemented in RNN yet.");nt(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new ft({shape:[t,null,n]});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!i.util.arraysEqual(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new d("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map((function(e){return new ft({shape:[null,e]})}));this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),(0,i.tidy)((function(){if(!n.stateful)throw new p("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new d("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==n.states_)Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return(0,i.zeros)([r,e])})):n.states_=[(0,i.zeros)([r,n.cell.stateSize])];else if(null==e)(0,i.dispose)(n.states_),null!=n.keptStates&&((0,i.dispose)(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return(0,i.zeros)([r,e])})):n.states_[0]=(0,i.zeros)([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new d("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===t?n.keptStates.push(n.states_.slice()):(0,i.dispose)(n.states_);for(var a=0;a<n.states_.length;++a){var o=e[a],s=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,u=[r,s];if(!i.util.arraysEqual(o.shape,u))throw new d("State "+a+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+o.shape);n.states_[a]=o}}n.states_=n.states_.map((function(e){return(0,i.keep)(e.clone())}))}))},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=Ai(t,r,i,this.numConstants);t=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,c=r;u<c.length;u++){var l=c[u];this.stateSpec.push(new ft({shape:l.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof pt){var f=[t].concat(o),p=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=p;var d=e.prototype.apply.call(this,f,n);return this.inputSpec=h,d}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var r=null==t?null:t.mask,i=null==t?null:t.training,a=null==t?null:t.initialState;e=it(e),null==a&&(a=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new d("RNN Layer has "+o+" state(s) but was passed "+a.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:i},u=ki((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,a,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],f=u[2];n.stateful&&n.resetStates(f,i);var p=n.returnSequences?l:c;return n.returnState?[p].concat(f):p}))},t.prototype.getInitialState=function(e){var t=this;return(0,i.tidy)((function(){var n=(0,i.zeros)(e.shape);return n=de(n=(0,i.sum)(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?xe(n,[1,e]):n})):t.cell.stateSize>1?[xe(n,[1,t.cell.stateSize])]:[n]}))},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)},t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=Ot(t.cell,n);return new e(Object.assign(t,{cell:r}))},t.className="RNN",t}(gt);i.serialization.registerClass(Di);var _i=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return o(t,e),t}(gt),Mi=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,I(n.units,"units"),n.activation=or(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ye(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ye(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ye(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=hr(t.kernelRegularizer),n.recurrentRegularizer=hr(t.recurrentRegularizer),n.biasRegularizer=hr(t.biasRegularizer),n.kernelConstraint=$(t.kernelConstraint),n.recurrentConstraint=$(t.recurrentConstraint),n.biasConstraint=$(t.biasConstraint),n.dropout=le([1,fe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=le([1,fe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return o(t,e),t.prototype.build=function(e){e=at(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){if(2!==(e=e).length)throw new d("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var r=e[1];e=e[0];var a,o=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=zi((function(){return(0,i.onesLike)(e)}),n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=zi((function(){return(0,i.onesLike)(r)}),n.recurrentDropout,o));var s=n.dropoutMask,u=n.recurrentDropoutMask;a=Ee(null!=s?(0,i.mul)(e,s):e,n.kernel.read()),null!=n.bias&&(a=Ae(a,n.bias.read())),null!=u&&(r=(0,i.mul)(r,u));var c=(0,i.add)(a,Ee(r,n.recurrentKernel.read()));return null!=n.activation&&(c=n.activation.apply(c)),[c,c]}))},t.prototype.getConfig=function(){var t={units:this.units,activation:ir(this.activation),useBias:this.useBias,kernelInitializer:Xe(this.kernelInitializer),recurrentInitializer:Xe(this.recurrentInitializer),biasInitializer:Xe(this.biasInitializer),kernelRegularizer:fr(this.kernelRegularizer),recurrentRegularizer:fr(this.recurrentRegularizer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),kernelConstraint:W(this.kernelConstraint),recurrentConstraint:W(this.recurrentConstraint),biasConstraint:W(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="SimpleRNNCell",t}(_i);i.serialization.registerClass(Mi);var Ti=function(e){function t(t){return t.cell=new Mi(t),e.call(this,t)||this}return o(t,e),t.prototype.call=function(t,n){var r=this;return(0,i.tidy)((function(){null!=r.cell.dropoutMask&&((0,i.dispose)(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&((0,i.dispose)(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:o,initialState:s})}))},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:ir(this.activation),useBias:this.useBias,kernelInitializer:Xe(this.kernelInitializer),recurrentInitializer:Xe(this.recurrentInitializer),biasInitializer:Xe(this.biasInitializer),kernelRegularizer:fr(this.kernelRegularizer),recurrentRegularizer:fr(this.recurrentRegularizer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),kernelConstraint:W(this.kernelConstraint),recurrentConstraint:W(this.recurrentConstraint),biasConstraint:W(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return new e(t)},t.className="SimpleRNN",t}(Di);i.serialization.registerClass(Ti);var Oi=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,I(n.units,"units"),n.activation=or(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=or(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ye(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ye(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ye(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=hr(t.kernelRegularizer),n.recurrentRegularizer=hr(t.recurrentRegularizer),n.biasRegularizer=hr(t.biasRegularizer),n.kernelConstraint=$(t.kernelConstraint),n.recurrentConstraint=$(t.recurrentConstraint),n.biasConstraint=$(t.biasConstraint),n.dropout=le([1,fe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=le([1,fe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return o(t,e),t.prototype.build=function(e){var t=(e=at(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){if(2!==(e=e).length)throw new d("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=zi((function(){return(0,i.onesLike)(e)}),n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=zi((function(){return(0,i.onesLike)(a)}),n.recurrentDropout,r,3));var o,s,u,c=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=(0,i.mul)(e,c[0]));var f=Ee(e,n.kernel.read());n.useBias&&(f=Ae(f,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=(0,i.mul)(a,l[0]));var p=n.recurrentKernel.read(),h=(0,i.split)(p,[2*n.units,n.units],p.rank-1),m=h[0],g=h[1],v=Ee(a,m),y=(0,i.split)(f,3,f.rank-1),b=y[0],x=y[1],w=y[2],E=(0,i.split)(v,2,v.rank-1),C=E[0],S=E[1];o=n.recurrentActivation.apply((0,i.add)(b,C)),s=n.recurrentActivation.apply((0,i.add)(x,S));var N=Ee((0,i.mul)(s,a),g);u=n.activation.apply((0,i.add)(w,N));var A=(0,i.add)((0,i.mul)(o,a),(0,i.mul)((0,i.add)(1,(0,i.neg)(o)),u));return[A,A]}))},t.prototype.getConfig=function(){var t={units:this.units,activation:ir(this.activation),recurrentActivation:ir(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xe(this.kernelInitializer),recurrentInitializer:Xe(this.recurrentInitializer),biasInitializer:Xe(this.biasInitializer),kernelRegularizer:fr(this.kernelRegularizer),recurrentRegularizer:fr(this.recurrentRegularizer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),kernelConstraint:W(this.kernelConstraint),recurrentConstraint:W(this.recurrentConstraint),biasConstraint:W(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="GRUCell",t}(_i);i.serialization.registerClass(Oi);var Ii=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Oi(t),e.call(this,t)||this}return o(t,e),t.prototype.call=function(t,n){var r=this;return(0,i.tidy)((function(){null!=r.cell.dropoutMask&&((0,i.dispose)(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&((0,i.dispose)(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:o,initialState:s})}))},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:ir(this.activation),recurrentActivation:ir(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xe(this.kernelInitializer),recurrentInitializer:Xe(this.recurrentInitializer),biasInitializer:Xe(this.biasInitializer),kernelRegularizer:fr(this.kernelRegularizer),recurrentRegularizer:fr(this.recurrentRegularizer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),kernelConstraint:W(this.kernelConstraint),recurrentConstraint:W(this.recurrentConstraint),biasConstraint:W(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="GRU",t}(Di);i.serialization.registerClass(Ii);var Fi=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,I(n.units,"units"),n.activation=or(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=or(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ye(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ye(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ye(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=hr(t.kernelRegularizer),n.recurrentRegularizer=hr(t.recurrentRegularizer),n.biasRegularizer=hr(t.biasRegularizer),n.kernelConstraint=$(t.kernelConstraint),n.recurrentConstraint=$(t.recurrentConstraint),n.biasConstraint=$(t.biasConstraint),n.dropout=le([1,fe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=le([1,fe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return o(t,e),t.prototype.build=function(e){var t,n,r=(e=at(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;n=new((t=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return o(t,e),t.prototype.apply=function(e,t){var n=i.apply([a]),r=(new Ie).apply([a]),o=i.apply([2*a]);return be(be(n,r),o)},t}(Te)).className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new d("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var a=e[1],o=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=zi((function(){return(0,i.onesLike)(e)}),n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=zi((function(){return(0,i.onesLike)(a)}),n.recurrentDropout,r,4));var s,u,c,l,f=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=(0,i.mul)(e,f[0]));var h=Ee(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=(0,i.mul)(a,p[0])),h=(0,i.add)(h,Ee(a,n.recurrentKernel.read())),n.useBias&&(h=Ae(h,n.bias.read()));var m=(0,i.split)(h,4,h.rank-1),g=m[0],v=m[1],y=m[2],b=m[3];s=n.recurrentActivation.apply(g),u=n.recurrentActivation.apply(v),c=(0,i.add)((0,i.mul)(u,o),(0,i.mul)(s,n.activation.apply(y))),l=n.recurrentActivation.apply(b);var x=(0,i.mul)(l,n.activation.apply(c));return[x,x,c]}))},t.prototype.getConfig=function(){var t={units:this.units,activation:ir(this.activation),recurrentActivation:ir(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xe(this.kernelInitializer),recurrentInitializer:Xe(this.recurrentInitializer),biasInitializer:Xe(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:fr(this.kernelRegularizer),recurrentRegularizer:fr(this.recurrentRegularizer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),kernelConstraint:W(this.kernelConstraint),recurrentConstraint:W(this.recurrentConstraint),biasConstraint:W(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="LSTMCell",t}(_i);i.serialization.registerClass(Fi);var Ri=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Fi(t),e.call(this,t)||this}return o(t,e),t.prototype.call=function(t,n){var r=this;return(0,i.tidy)((function(){null!=r.cell.dropoutMask&&((0,i.dispose)(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&((0,i.dispose)(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:o,initialState:s})}))},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:ir(this.activation),recurrentActivation:ir(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Xe(this.kernelInitializer),recurrentInitializer:Xe(this.recurrentInitializer),biasInitializer:Xe(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:fr(this.kernelRegularizer),recurrentRegularizer:fr(this.recurrentRegularizer),biasRegularizer:fr(this.biasRegularizer),activityRegularizer:fr(this.activityRegularizer),kernelConstraint:W(this.kernelConstraint),recurrentConstraint:W(this.recurrentConstraint),biasConstraint:W(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="LSTM",t}(Di);i.serialization.registerClass(Ri);var Bi=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return o(t,e),Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){for(var r=(e=e).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var u,c=[],l=0;l<n.cells.length;++l)s=n.cells[l],r=i[l],u=0===l?[e[0]].concat(r):[u[0]].concat(r),u=s.call(u,t),c.push(u.slice(1));r=[];for(var f=0,p=c.slice().reverse();f<p.length;f++){var h=p[f];r.push.apply(r,h)}return[u[0]].concat(r)}))},t.prototype.build=function(e){var t;nt(e)&&(e=e[0]),e=e,this.cells.forEach((function(n,r){ne("RNNCell_"+r,(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];t.push({className:i.getClassName(),config:i.getConfig()})}var a={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(a,o),a},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],i=0,a=t.cells;i<a.length;i++){var o=a[i];r.push(Ot(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++)r=o[a],i.push.apply(i,r.trainableWeights);return i.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return ct(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=e.splice(a),s=0;s<i.weights.length;++s)t.push([i.weights[s],o[s]]);lt(t)},t.className="StackedRNNCells",t}(_i);function zi(e,t,n,r){function a(){return ke(e(),t)}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var o=[],s=0;s<r;s++)o.push(De(a,e,n));return o.map((function(e){return(0,i.keep)(e.clone())}))}return(0,i.keep)(De(a,e,n).clone())}i.serialization.registerClass(Bi);var Pi=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return o(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,"trainable",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"updates",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"losses",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.prototype.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(t)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=Ot(t.layer,n);delete t.layer;var i={layer:r};return Object.assign(i,t),new e(i)},t}(gt),Li=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n}return o(t,e),t.prototype.build=function(t){if((t=at(t)).length<3)throw new d("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},t.prototype.computeOutputShape=function(e){var t=[(e=at(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},t.prototype.call=function(e,t){var n=this;return(0,i.tidy)((function(){return ki((function(e,r){return[it(n.layer.call(e,t)),[]]}),e=it(e),[],!1,null,null,!1,!0)[1]}))},t.className="TimeDistributed",t}(Pi);i.serialization.registerClass(Li);var ji=function(e){function t(t){var n=e.call(this,t)||this,r=t.layer.getConfig(),i={};i.className=t.layer.getClassName(),i.config=r,n.forwardLayer=Ot(i),r.goBackwards=!0!==r.goBackwards;var a={};if(a.className=t.layer.getClassName(),a.config=r,n.backwardLayer=Ot(a),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===t.mergeMode?"concat":t.mergeMode,function(e){T(Y,"BidirectionalMergeMode",e)}(n.mergeMode),t.weights)throw new m("weights support is not implemented for Bidirectional layer yet.");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}return 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e=this;return fa(this,(function(t){return this.lastRead=this.lastRead.then((function(){return e.serialNext()})),[2,this.lastRead]}))}))},t.prototype.serialNext=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(e){switch(e.label){case 0:return 0!==this.outputQueue.length()?[3,2]:[4,this.pump()];case 1:return e.sent()?[3,0]:[2,{value:null,done:!0}];case 2:return[2,{value:this.outputQueue.shift(),done:!1}]}}))}))},t}(za),Xa=function(e){function t(t,n){var r=e.call(this)||this;return r.upstream=t,r.transform=n,r}return ca(t,e),t.prototype.summary=function(){return this.upstream.summary()+" -> Flatmap"},t.prototype.pump=function(){return la(this,void 0,void 0,(function(){var e,t,n,r,a,o,s;return fa(this,(function(u){switch(u.label){case 0:return[4,this.upstream.next()];case 1:if((e=u.sent()).done)return[2,!1];for(t=i.tensor_util.getTensorsInContainer(e.value),n=this.transform(e.value),r=i.tensor_util.getTensorsInContainer(n),this.outputQueue.pushAll(n),a=0,o=t;a<o.length;a++)s=o[a],i.tensor_util.isTensorInList(s,r)||s.dispose();return[2,!0]}}))}))},t}(Ka),Ya=function(e){function t(t,n){var r=e.call(this)||this;return r.baseErrorHandler=n,r.lastRead=null,r.iterator=null,r.moreIterators=t,r}return ca(t,e),t.prototype.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},t.prototype.next=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(e){return this.lastRead=this.readFromChain(this.lastRead),[2,this.lastRead]}))}))},t.prototype.readFromChain=function(e){return la(this,void 0,void 0,(function(){var t,n;return fa(this,(function(r){switch(r.label){case 0:return[4,e];case 1:return r.sent(),null!=this.iterator?[3,3]:[4,this.moreIterators.next()];case 2:if((t=r.sent()).done)return[2,{value:null,done:!0}];this.iterator=t.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler)),r.label=3;case 3:return[4,this.iterator.next()];case 4:return(n=r.sent()).done?(this.iterator=null,[2,this.readFromChain(e)]):[2,n]}}))}))},t}(za);(Ba=Ra||(Ra={}))[Ba.FAIL=0]="FAIL",Ba[Ba.SHORTEST=1]="SHORTEST",Ba[Ba.LONGEST=2]="LONGEST";var Ja=function(e){function t(t,n){void 0===n&&(n=Ra.FAIL);var r=e.call(this)||this;return r.iterators=t,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}return ca(t,e),t.prototype.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},t.prototype.nextState=function(e){return la(this,void 0,void 0,(function(){function t(e){return e instanceof za?{value:e.next().then((function(e){return n++,e.done&&r++,e.value})),recurse:!1}:{value:null,recurse:!0}}var n,r,i;return fa(this,(function(a){switch(a.label){case 0:return[4,e];case 1:return a.sent(),n=0,r=0,[4,Na(this.iterators,t)];case 2:if(i=a.sent(),n===r)return[2,{value:null,done:!0}];if(r>0)switch(this.mismatchMode){case Ra.FAIL:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case Ra.SHORTEST:return[2,{value:null,done:!0}];case Ra.LONGEST:}return this.count++,[2,{value:i,done:!1}]}}))}))},t.prototype.next=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(e){return this.currentPromise=this.nextState(this.currentPromise),[2,this.currentPromise]}))}))},t}(za),Za=function(e){function t(t,n){var r=e.call(this)||this;return r.upstream=t,r.bufferSize=n,r.buffer=new _a(n),r}return ca(t,e),t.prototype.summary=function(){return this.upstream.summary()+" -> Prefetch"},t.prototype.refill=function(){for(;!this.buffer.isFull();){var e=this.upstream.next();this.buffer.push(e)}},t.prototype.next=function(){return this.refill(),this.buffer.shift()},t}(za),Qa=function(e){function t(t,n,r){var a=e.call(this,t,n)||this;return a.upstream=t,a.windowSize=n,a.upstreamExhausted=!1,a.random=xa(r||i.util.now().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}return ca(t,e),t.prototype.next=function(){return la(this,void 0,void 0,(function(){var e=this;return fa(this,(function(t){return this.lastRead=this.lastRead.then((function(){return e.serialNext()})),[2,this.lastRead]}))}))},t.prototype.randomInt=function(e){return Math.floor(this.random()*e)},t.prototype.chooseIndex=function(){return this.randomInt(this.buffer.length())},t.prototype.serialNext=function(){return la(this,void 0,void 0,(function(){var e,t;return fa(this,(function(n){switch(n.label){case 0:this.upstreamExhausted||this.refill(),n.label=1;case 1:return this.buffer.isEmpty()?[3,3]:(e=this.chooseIndex(),[4,this.buffer.shuffleExcise(e)]);case 2:return(t=n.sent()).done?(this.upstreamExhausted=!0,[3,1]):(this.refill(),[2,t]);case 3:return[2,{value:null,done:!0}]}}))}))},t}(Za),eo=function(){function e(){this.size=null}return e.prototype.batch=function(e,t){var n=this;void 0===t&&(t=!0);var r=this;return i.util.assert(e>0,(function(){return"batchSize needs to be positive, but it is\n      "+e})),to((function(){return la(n,void 0,void 0,(function(){return fa(this,(function(n){switch(n.label){case 0:return[4,r.iterator()];case 1:return[2,n.sent().columnMajorBatch(e,t,io)]}}))}))}),this.size===1/0||null==this.size?this.size:t?Math.ceil(this.size/e):Math.floor(this.size/e))},e.prototype.concatenate=function(e){var t=this,n=this;return to((function(){return la(t,void 0,void 0,(function(){var t,r;return fa(this,(function(i){switch(i.label){case 0:return[4,n.iterator()];case 1:return r=(t=i.sent()).concatenate,[4,e.iterator()];case 2:return[2,r.apply(t,[i.sent()])]}}))}))}),this.size===1/0||e.size===1/0?1/0:null!=this.size&&null!=e.size?this.size+e.size:null)},e.prototype.filter=function(e){var t=this,n=this;return to((function(){return la(t,void 0,void 0,(function(){return fa(this,(function(t){switch(t.label){case 0:return[4,n.iterator()];case 1:return[2,t.sent().filter((function(t){return(0,i.tidy)((function(){return e(t)}))}))]}}))}))}),this.size===1/0?1/0:null)},e.prototype.forEachAsync=function(e){return la(this,void 0,void 0,(function(){return fa(this,(function(t){switch(t.label){case 0:return[4,this.iterator()];case 1:return[2,t.sent().forEachAsync(e)]}}))}))},e.prototype.forEach=function(e){return la(this,void 0,void 0,(function(){return fa(this,(function(t){return(0,i.deprecationWarn)("dataset.forEach() is deprecated and will be removed. 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If your data fits in main memory (for regular JS objects), and/or GPU memory (for `tf.Tensor`s), consider setting bufferSize to the dataset size ("+this.size+" elements)");var a=this,o=xa(t||i.util.now().toString());return to((function(){return la(r,void 0,void 0,(function(){var t;return fa(this,(function(r){switch(r.label){case 0:return t=o.int32(),n&&(t+=o.int32()),[4,a.iterator()];case 1:return[2,r.sent().shuffle(e,t.toString())]}}))}))}),this.size)},e.prototype.take=function(e){var t=this,n=this;return to((function(){return la(t,void 0,void 0,(function(){return fa(this,(function(t){switch(t.label){case 0:return[4,n.iterator()];case 1:return[2,t.sent().take(e)]}}))}))}),null!=this.size&&this.size>e?e:null!=this.size&&this.size<=e?this.size:null)},e.prototype.toArray=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(e){switch(e.label){case 0:if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,e.sent().toArray()]}}))}))},e.prototype.toArrayForTest=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(e){switch(e.label){case 0:if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,e.sent().toArrayForTest()]}}))}))},e.MAX_BUFFER_SIZE=1e4,e}();function to(e,t){return void 0===t&&(t=null),new(function(n){function r(){var e=null!==n&&n.apply(this,arguments)||this;return e.size=t,e}return ca(r,n),r.prototype.iterator=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(t){return[2,e()]}))}))},r}(eo))}function no(e){var t=this;return to((function(){return la(t,void 0,void 0,(function(){return fa(this,(function(t){return[2,Ta(e)]}))}))}),e.length)}function ro(e){var t,n=this;if(!Aa(e))throw new Error("The argument to zip() must be an object or array.");if(Array.isArray(e))for(var r=0;r<e.length;r++)t=null==t?e[r].size:Math.min(t,e[r].size);else if(e instanceof Object)for(var i in e)t=null==t?e[i].size:Math.min(t,e[i].size);return to((function(){return la(n,void 0,void 0,(function(){return fa(this,(function(t){switch(t.label){case 0:return[4,Na(e,(function(e){if(e instanceof eo)return{value:e.iterator(),recurse:!1};if(Aa(e))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")}))];case 1:return[2,Fa(t.sent(),Ra.SHORTEST)]}}))}))}),t)}function io(e){return null===e?null:function(e){return null==e||function(e){return null===e||"object"!=typeof e&&"function"!=typeof e}(e)||Array.isArray(e)||"object"==typeof e&&e instanceof i.Tensor||i.util.isTypedArray(e)}(e[0])?{value:ao(e),recurse:!1}:{value:null,recurse:!0}}function ao(e){if(0===e.length)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof i.Tensor?(0,i.stack)(e):(0,i.tensor)(e)}var oo=function(e){function t(t){var n=e.call(this)||this;return n.input=t,n}return ca(t,e),t.prototype.iterator=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(e){switch(e.label){case 0:return[4,this.input.iterator()];case 1:return[2,e.sent().decodeUTF8().split("\n").map((function(e){return e.endsWith("\r")&&(e=e.slice(0,-1)),e}))]}}))}))},t}(eo),so='"',uo=Symbol("out"),co=Symbol("field"),lo=Symbol("quote"),fo=Symbol("quoteafterquote"),po=Symbol("quoteinquote"),ho=function(e){function t(t,n){var r=e.call(this)||this;return r.input=t,r.hasHeader=!0,r.fullColumnNames=null,r.columnNamesValidated=!1,r.columnConfigs=null,r.configuredColumnsOnly=!1,r.delimiter=",",r.delimWhitespace=!1,r.base=new oo(t),n||(n={}),r.hasHeader=!1!==n.hasHeader,r.fullColumnNames=n.columnNames,r.columnConfigs=n.columnConfigs,r.configuredColumnsOnly=n.configuredColumnsOnly,n.delimWhitespace?(i.util.assert(null==n.delimiter,(function(){return"Delimiter should not be provided when delimWhitespace is true."})),r.delimWhitespace=!0,r.delimiter=" "):r.delimiter=n.delimiter?n.delimiter:",",r}return ca(t,e),t.prototype.columnNames=function(){return la(this,void 0,void 0,(function(){return fa(this,(function(e){switch(e.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:e.sent(),e.label=2;case 2:return[2,this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames]}}))}))},t.prototype.setColumnNames=function(){return la(this,void 0,void 0,(function(){var e,t,n,r,a,o,s=this;return fa(this,(function(u){switch(u.label){case 0:return[4,this.maybeReadHeaderLine()];case 1:if(e=u.sent(),!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");if(this.fullColumnNames&&e&&i.util.assert(e.length===this.fullColumnNames.length,(function(){return"The length of provided columnNames ("+s.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."})),this.fullColumnNames||(this.fullColumnNames=e),t=this.fullColumnNames.reduce((function(e,t){return e[t]=e[t]+1||1,e}),{}),n=Object.keys(t).filter((function(e){return t[e]>1})),i.util.assert(0===n.length,(function(){return"Duplicate column names found: "+n.toString()})),this.columnConfigs)for(r=0,a=Object.keys(this.columnConfigs);r<a.length;r++)if(o=a[r],-1===this.fullColumnNames.indexOf(o))throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");return this.columnNamesValidated=!0,[2]}}))}))},t.prototype.maybeReadHeaderLine=function(){return la(this,void 0,void 0,(function(){var e,t;return fa(this,(function(n){switch(n.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return[4,n.sent().next()];case 2:if((e=n.sent()).done)throw new Error("No data was found for CSV parsing.");return t=e.value,[2,this.parseRow(t,!1)];case 3:return[2,null]}}))}))},t.prototype.iterator=function(){return la(this,void 0,void 0,(function(){var e,t=this;return fa(this,(function(n){switch(n.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:n.sent(),n.label=2;case 2:return[4,this.base.iterator()];case 3:return e=n.sent(),this.hasHeader&&(e=e.skip(1)),[2,e.map((function(e){return t.makeDataElement(e)}))]}}))}))},t.prototype.makeDataElement=function(e){for(var t=this.parseRow(e),n={},r={},i=0;i<this.fullColumnNames.length;i++){var a=this.fullColumnNames[i],o=this.columnConfigs?this.columnConfigs[a]:null;if(!this.configuredColumnsOnly||o){var s=t[i],u=null;if(""===s)if(o&&void 0!==o.default)u=o.default;else{if(o&&(o.required||o.isLabel))throw new Error("Required column "+a+" is empty in this line: "+e);u=void 0}else{var c=Number(s);if(isNaN(c))u=o&&"bool"===o.dtype?this.getBoolean(s):s;else if(o&&o.dtype)switch(o.dtype){case"float32":default:u=c;break;case"int32":u=Math.floor(c);break;case"bool":u=this.getBoolean(s)}else u=c}o&&o.isLabel?r[a]=u:n[a]=u}}return 0===Object.keys(r).length?n:{xs:n,ys:r}},t.prototype.getBoolean=function(e){return"1"===e||"true"===e.toLowerCase()?1:0},t.prototype.parseRow=function(e,t){void 0===t&&(t=!0);for(var n=[],r=0,i=e.length,a=uo,o=0;o<i;o++)switch(a){case uo:switch(e.charAt(o)){case so:r=o+1,a=lo;break;case this.delimiter:if(r=o+1," "===this.delimiter&&this.delimWhitespace)break;n.push(""),a=uo;break;default:a=co,r=o}break;case co:e.charAt(o)===this.delimiter&&(n.push(e.substring(r,o)),a=uo,r=o+1);break;case lo:e.charAt(o)===so&&(a=fo);break;case fo:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(r,o-1)),a=uo,r=o+1;break;case so:a=lo;break;default:a=po}break;case po:e.charAt(o)===so&&(a=lo)}if(a===fo?n.push(e.substring(r,i-1)):n.push(e.substring(r)),t&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. 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c("csc",[o.clone()]),v(2)]);break;case"asin":s=!0,r=new c("sqrt",[new l("-","subtract",[v(1),new l("^","pow",[o.clone(),v(2)])])]);break;case"acos":s=!0,u=!0,r=new c("sqrt",[new l("-","subtract",[v(1),new l("^","pow",[o.clone(),v(2)])])]);break;case"atan":s=!0,r=new l("+","add",[new l("^","pow",[o.clone(),v(2)]),v(1)]);break;case"asec":s=!0,r=new l("*","multiply",[new c("abs",[o.clone()]),new c("sqrt",[new l("-","subtract",[new l("^","pow",[o.clone(),v(2)]),v(1)])])]);break;case"acsc":s=!0,u=!0,r=new l("*","multiply",[new c("abs",[o.clone()]),new c("sqrt",[new l("-","subtract",[new l("^","pow",[o.clone(),v(2)]),v(1)])])]);break;case"acot":s=!0,u=!0,r=new l("+","add",[new l("^","pow",[o.clone(),v(2)]),v(1)]);break;case"sinh":r=new c("cosh",[o.clone()]);break;case"cosh":r=new c("sinh",[o.clone()]);break;case"tanh":r=new l("^","pow",[new c("sech",[o.clone()]),v(2)]);break;case"sech":u=!0,r=new l("*","multiply",[e,new c("tanh",[o.clone()])]);break;case"csch":u=!0,r=new l("*","multiply",[e,new c("coth",[o.clone()])]);break;case"coth":u=!0,r=new l("^","pow",[new c("csch",[o.clone()]),v(2)]);break;case"asinh":s=!0,r=new c("sqrt",[new l("+","add",[new l("^","pow",[o.clone(),v(2)]),v(1)])]);break;case"acosh":s=!0,r=new c("sqrt",[new l("-","subtract",[new l("^","pow",[o.clone(),v(2)]),v(1)])]);break;case"atanh":s=!0,r=new l("-","subtract",[v(1),new l("^","pow",[o.clone(),v(2)])]);break;case"asech":s=!0,u=!0,r=new l("*","multiply",[o.clone(),new c("sqrt",[new l("-","subtract",[v(1),new l("^","pow",[o.clone(),v(2)])])])]);break;case"acsch":s=!0,u=!0,r=new l("*","multiply",[new c("abs",[o.clone()]),new c("sqrt",[new l("+","add",[new l("^","pow",[o.clone(),v(2)]),v(1)])])]);break;case"acoth":s=!0,u=!0,r=new l("-","subtract",[v(1),new l("^","pow",[o.clone(),v(2)])]);break;case"abs":r=new l("/","divide",[new c(new p("abs"),[o.clone()]),o.clone()]);break;default:throw new Error('Function "'+e.name+'" is not supported by derivative, or a wrong number of arguments 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A complex number is described as a + b*i, where a is the real part, and b is the imaginary part.",examples:["i","i * i","sqrt(-1)"],seealso:[]},Infinity:{name:"Infinity",category:"Constants",syntax:["Infinity"],description:"Infinity, a number which is larger than the maximum number that can be handled by a floating point number.",examples:["Infinity","1 / 0"],seealso:[]},LN2:{name:"LN2",category:"Constants",syntax:["LN2"],description:"Returns the natural logarithm of 2, approximately equal to 0.693",examples:["LN2","log(2)"],seealso:[]},LN10:{name:"LN10",category:"Constants",syntax:["LN10"],description:"Returns the natural logarithm of 10, approximately equal to 2.302",examples:["LN10","log(10)"],seealso:[]},LOG2E:{name:"LOG2E",category:"Constants",syntax:["LOG2E"],description:"Returns the base-2 logarithm of E, approximately equal to 1.442",examples:["LOG2E","log(e, 2)"],seealso:[]},LOG10E:{name:"LOG10E",category:"Constants",syntax:["LOG10E"],description:"Returns the base-10 logarithm of E, approximately equal to 0.434",examples:["LOG10E","log(e, 10)"],seealso:[]},NaN:{name:"NaN",category:"Constants",syntax:["NaN"],description:"Not a number",examples:["NaN","0 / 0"],seealso:[]},null:{name:"null",category:"Constants",syntax:["null"],description:"Value null",examples:["null"],seealso:["true","false"]},pi:ab,PI:ab,phi:{name:"phi",category:"Constants",syntax:["phi"],description:"Phi is the golden ratio. Two quantities are in the golden ratio if their ratio is the same as the ratio of their sum to the larger of the two quantities. Phi is defined as `(1 + sqrt(5)) / 2` and is approximately 1.618034...",examples:["phi"],seealso:[]},SQRT1_2:{name:"SQRT1_2",category:"Constants",syntax:["SQRT1_2"],description:"Returns the square root of 1/2, approximately equal to 0.707",examples:["SQRT1_2","sqrt(1/2)"],seealso:[]},SQRT2:{name:"SQRT2",category:"Constants",syntax:["SQRT2"],description:"Returns the square root of 2, approximately equal to 1.414",examples:["SQRT2","sqrt(2)"],seealso:[]},tau:{name:"tau",category:"Constants",syntax:["tau"],description:"Tau is the ratio constant of a circle's circumference to radius, equal to 2 * pi, approximately 6.2832.",examples:["tau","2 * pi"],seealso:["pi"]},true:{name:"true",category:"Constants",syntax:["true"],description:"Boolean value true",examples:["true"],seealso:["false"]},version:{name:"version",category:"Constants",syntax:["version"],description:"A string with the version number of math.js",examples:["version"],seealso:[]},speedOfLight:{description:"Speed of light in vacuum",examples:["speedOfLight"]},gravitationConstant:{description:"Newtonian constant of gravitation",examples:["gravitationConstant"]},planckConstant:{description:"Planck constant",examples:["planckConstant"]},reducedPlanckConstant:{description:"Reduced Planck constant",examples:["reducedPlanckConstant"]},magneticConstant:{description:"Magnetic constant (vacuum permeability)",examples:["magneticConstant"]},electricConstant:{description:"Electric constant (vacuum permeability)",examples:["electricConstant"]},vacuumImpedance:{description:"Characteristic impedance of vacuum",examples:["vacuumImpedance"]},coulomb:{description:"Coulomb's constant",examples:["coulomb"]},elementaryCharge:{description:"Elementary charge",examples:["elementaryCharge"]},bohrMagneton:{description:"Borh magneton",examples:["bohrMagneton"]},conductanceQuantum:{description:"Conductance quantum",examples:["conductanceQuantum"]},inverseConductanceQuantum:{description:"Inverse conductance quantum",examples:["inverseConductanceQuantum"]},magneticFluxQuantum:{description:"Magnetic flux quantum",examples:["magneticFluxQuantum"]},nuclearMagneton:{description:"Nuclear magneton",examples:["nuclearMagneton"]},klitzing:{description:"Von Klitzing constant",examples:["klitzing"]},bohrRadius:{description:"Borh radius",examples:["bohrRadius"]},classicalElectronRadius:{description:"Classical electron radius",examples:["classicalElectronRadius"]},electronMass:{description:"Electron mass",examples:["electronMass"]},fermiCoupling:{description:"Fermi coupling constant",examples:["fermiCoupling"]},fineStructure:{description:"Fine-structure constant",examples:["fineStructure"]},hartreeEnergy:{description:"Hartree energy",examples:["hartreeEnergy"]},protonMass:{description:"Proton mass",examples:["protonMass"]},deuteronMass:{description:"Deuteron Mass",examples:["deuteronMass"]},neutronMass:{description:"Neutron mass",examples:["neutronMass"]},quantumOfCirculation:{description:"Quantum of circulation",examples:["quantumOfCirculation"]},rydberg:{description:"Rydberg constant",examples:["rydberg"]},thomsonCrossSection:{description:"Thomson cross section",examples:["thomsonCrossSection"]},weakMixingAngle:{description:"Weak mixing angle",examples:["weakMixingAngle"]},efimovFactor:{description:"Efimov factor",examples:["efimovFactor"]},atomicMass:{description:"Atomic mass constant",examples:["atomicMass"]},avogadro:{description:"Avogadro's number",examples:["avogadro"]},boltzmann:{description:"Boltzmann constant",examples:["boltzmann"]},faraday:{description:"Faraday constant",examples:["faraday"]},firstRadiation:{description:"First radiation constant",examples:["firstRadiation"]},loschmidt:{description:"Loschmidt constant at T=273.15 K and p=101.325 kPa",examples:["loschmidt"]},gasConstant:{description:"Gas constant",examples:["gasConstant"]},molarPlanckConstant:{description:"Molar Planck constant",examples:["molarPlanckConstant"]},molarVolume:{description:"Molar volume of an ideal gas at T=273.15 K and p=101.325 kPa",examples:["molarVolume"]},sackurTetrode:{description:"Sackur-Tetrode constant at T=1 K and p=101.325 kPa",examples:["sackurTetrode"]},secondRadiation:{description:"Second radiation constant",examples:["secondRadiation"]},stefanBoltzmann:{description:"Stefan-Boltzmann constant",examples:["stefanBoltzmann"]},wienDisplacement:{description:"Wien displacement law constant",examples:["wienDisplacement"]},molarMass:{description:"Molar mass constant",examples:["molarMass"]},molarMassC12:{description:"Molar mass constant of carbon-12",examples:["molarMassC12"]},gravity:{description:"Standard acceleration of gravity (standard acceleration of free-fall on Earth)",examples:["gravity"]},planckLength:{description:"Planck length",examples:["planckLength"]},planckMass:{description:"Planck mass",examples:["planckMass"]},planckTime:{description:"Planck time",examples:["planckTime"]},planckCharge:{description:"Planck charge",examples:["planckCharge"]},planckTemperature:{description:"Planck temperature",examples:["planckTemperature"]},derivative:{name:"derivative",category:"Algebra",syntax:["derivative(expr, variable)","derivative(expr, variable, {simplify: boolean})"],description:"Takes the derivative of an expression expressed in parser Nodes. The derivative will be taken over the supplied variable in the second parameter. If there are multiple variables in the expression, it will return a partial derivative.",examples:['derivative("2x^3", "x")','derivative("2x^3", "x", {simplify: false})','derivative("2x^2 + 3x + 4", "x")','derivative("sin(2x)", "x")','f = parse("x^2 + x")','x = parse("x")',"df = derivative(f, x)","df.evaluate({x: 3})"],seealso:["simplify","parse","evaluate"]},lsolve:{name:"lsolve",category:"Algebra",syntax:["x=lsolve(L, b)"],description:"Finds one solution of the linear system L * x = b where L is an [n x n] lower triangular matrix and b is a [n] column vector.",examples:["a = [-2, 3; 2, 1]","b = [11, 9]","x = lsolve(a, b)"],seealso:["lsolveAll","lup","lusolve","usolve","matrix","sparse"]},lsolveAll:{name:"lsolveAll",category:"Algebra",syntax:["x=lsolveAll(L, b)"],description:"Finds all solutions of the linear system L * x = b where L is an [n x n] lower triangular matrix and b is a [n] column vector.",examples:["a = [-2, 3; 2, 1]","b = [11, 9]","x = lsolve(a, b)"],seealso:["lsolve","lup","lusolve","usolve","matrix","sparse"]},lup:{name:"lup",category:"Algebra",syntax:["lup(m)"],description:"Calculate the Matrix LU decomposition with partial pivoting. Matrix A is decomposed in three matrices (L, U, P) where P * A = L * U",examples:["lup([[2, 1], [1, 4]])","lup(matrix([[2, 1], [1, 4]]))","lup(sparse([[2, 1], [1, 4]]))"],seealso:["lusolve","lsolve","usolve","matrix","sparse","slu","qr"]},lusolve:{name:"lusolve",category:"Algebra",syntax:["x=lusolve(A, b)","x=lusolve(lu, b)"],description:"Solves the linear system A * x = b where A is an [n x n] matrix and b is a [n] column vector.",examples:["a = [-2, 3; 2, 1]","b = [11, 9]","x = lusolve(a, b)"],seealso:["lup","slu","lsolve","usolve","matrix","sparse"]},simplify:{name:"simplify",category:"Algebra",syntax:["simplify(expr)","simplify(expr, rules)"],description:"Simplify an expression tree.",examples:['simplify("3 + 2 / 4")','simplify("2x + x")','f = parse("x * (x + 2 + x)")',"simplified = simplify(f)","simplified.evaluate({x: 2})"],seealso:["derivative","parse","evaluate"]},rationalize:{name:"rationalize",category:"Algebra",syntax:["rationalize(expr)","rationalize(expr, scope)","rationalize(expr, scope, detailed)"],description:"Transform a rationalizable expression in a rational fraction. If rational fraction is one variable polynomial then converts the numerator and denominator in canonical form, with decreasing exponents, returning the coefficients of numerator.",examples:['rationalize("2x/y - y/(x+1)")','rationalize("2x/y - y/(x+1)", true)'],seealso:["simplify"]},slu:{name:"slu",category:"Algebra",syntax:["slu(A, order, threshold)"],description:"Calculate the Matrix LU decomposition with full pivoting. Matrix A is decomposed in two matrices (L, U) and two permutation vectors (pinv, q) where P * A * Q = L * U",examples:["slu(sparse([4.5, 0, 3.2, 0; 3.1, 2.9, 0, 0.9; 0, 1.7, 3, 0; 3.5, 0.4, 0, 1]), 1, 0.001)"],seealso:["lusolve","lsolve","usolve","matrix","sparse","lup","qr"]},usolve:{name:"usolve",category:"Algebra",syntax:["x=usolve(U, b)"],description:"Finds one solution of the linear system U * x = b where U is an [n x n] upper triangular matrix and b is a [n] column vector.",examples:["x=usolve(sparse([1, 1, 1, 1; 0, 1, 1, 1; 0, 0, 1, 1; 0, 0, 0, 1]), [1; 2; 3; 4])"],seealso:["usolveAll","lup","lusolve","lsolve","matrix","sparse"]},usolveAll:{name:"usolveAll",category:"Algebra",syntax:["x=usolve(U, b)"],description:"Finds all solutions of the linear system U * x = b where U is an [n x n] upper triangular matrix and b is a [n] column vector.",examples:["x=usolve(sparse([1, 1, 1, 1; 0, 1, 1, 1; 0, 0, 1, 1; 0, 0, 0, 1]), [1; 2; 3; 4])"],seealso:["usolve","lup","lusolve","lsolve","matrix","sparse"]},qr:{name:"qr",category:"Algebra",syntax:["qr(A)"],description:"Calculates the Matrix QR decomposition. Matrix `A` is decomposed in two matrices (`Q`, `R`) where `Q` is an orthogonal matrix and `R` is an upper triangular matrix.",examples:["qr([[1, -1,  4], [1,  4, -2], [1,  4,  2], [1,  -1, 0]])"],seealso:["lup","slu","matrix"]},abs:{name:"abs",category:"Arithmetic",syntax:["abs(x)"],description:"Compute the absolute value.",examples:["abs(3.5)","abs(-4.2)"],seealso:["sign"]},add:{name:"add",category:"Operators",syntax:["x + y","add(x, y)"],description:"Add two values.",examples:["a = 2.1 + 3.6","a - 3.6","3 + 2i","3 cm + 2 inch",'"2.3" + "4"'],seealso:["subtract"]},cbrt:{name:"cbrt",category:"Arithmetic",syntax:["cbrt(x)","cbrt(x, allRoots)"],description:"Compute the cubic root value. If x = y * y * y, then y is the cubic root of x. When `x` is a number or complex number, an optional second argument `allRoots` can be provided to return all three cubic roots. If not provided, the principal root is returned",examples:["cbrt(64)","cube(4)","cbrt(-8)","cbrt(2 + 3i)","cbrt(8i)","cbrt(8i, true)","cbrt(27 m^3)"],seealso:["square","sqrt","cube","multiply"]},ceil:{name:"ceil",category:"Arithmetic",syntax:["ceil(x)"],description:"Round a value towards plus infinity. If x is complex, both real and imaginary part are rounded towards plus infinity.",examples:["ceil(3.2)","ceil(3.8)","ceil(-4.2)"],seealso:["floor","fix","round"]},cube:{name:"cube",category:"Arithmetic",syntax:["cube(x)"],description:"Compute the cube of a value. The cube of x is x * x * x.",examples:["cube(2)","2^3","2 * 2 * 2"],seealso:["multiply","square","pow"]},divide:{name:"divide",category:"Operators",syntax:["x / y","divide(x, y)"],description:"Divide two values.",examples:["a = 2 / 3","a * 3","4.5 / 2","3 + 4 / 2","(3 + 4) / 2","18 km / 4.5"],seealso:["multiply"]},dotDivide:{name:"dotDivide",category:"Operators",syntax:["x ./ y","dotDivide(x, y)"],description:"Divide two values element wise.",examples:["a = [1, 2, 3; 4, 5, 6]","b = [2, 1, 1; 3, 2, 5]","a ./ b"],seealso:["multiply","dotMultiply","divide"]},dotMultiply:{name:"dotMultiply",category:"Operators",syntax:["x .* y","dotMultiply(x, y)"],description:"Multiply two values element wise.",examples:["a = [1, 2, 3; 4, 5, 6]","b = [2, 1, 1; 3, 2, 5]","a .* b"],seealso:["multiply","divide","dotDivide"]},dotPow:{name:"dotPow",category:"Operators",syntax:["x .^ y","dotPow(x, y)"],description:"Calculates the power of x to y element wise.",examples:["a = [1, 2, 3; 4, 5, 6]","a .^ 2"],seealso:["pow"]},exp:{name:"exp",category:"Arithmetic",syntax:["exp(x)"],description:"Calculate the exponent of a value.",examples:["exp(1.3)","e ^ 1.3","log(exp(1.3))","x = 2.4","(exp(i*x) == cos(x) + i*sin(x))   # Euler's formula"],seealso:["expm","expm1","pow","log"]},expm:{name:"expm",category:"Arithmetic",syntax:["exp(x)"],description:"Compute the matrix exponential, expm(A) = e^A. The matrix must be square. Not to be confused with exp(a), which performs element-wise exponentiation.",examples:["expm([[0,2],[0,0]])"],seealso:["exp"]},expm1:{name:"expm1",category:"Arithmetic",syntax:["expm1(x)"],description:"Calculate the value of subtracting 1 from the exponential value.",examples:["expm1(2)","pow(e, 2) - 1","log(expm1(2) + 1)"],seealso:["exp","pow","log"]},fix:{name:"fix",category:"Arithmetic",syntax:["fix(x)"],description:"Round a value towards zero. If x is complex, both real and imaginary part are rounded towards zero.",examples:["fix(3.2)","fix(3.8)","fix(-4.2)","fix(-4.8)"],seealso:["ceil","floor","round"]},floor:{name:"floor",category:"Arithmetic",syntax:["floor(x)"],description:"Round a value towards minus infinity.If x is complex, both real and imaginary part are rounded towards minus infinity.",examples:["floor(3.2)","floor(3.8)","floor(-4.2)"],seealso:["ceil","fix","round"]},gcd:{name:"gcd",category:"Arithmetic",syntax:["gcd(a, b)","gcd(a, b, c, ...)"],description:"Compute the greatest common divisor.",examples:["gcd(8, 12)","gcd(-4, 6)","gcd(25, 15, -10)"],seealso:["lcm","xgcd"]},hypot:{name:"hypot",category:"Arithmetic",syntax:["hypot(a, b, c, ...)","hypot([a, b, c, ...])"],description:"Calculate the hypotenusa of a list with values. ",examples:["hypot(3, 4)","sqrt(3^2 + 4^2)","hypot(-2)","hypot([3, 4, 5])"],seealso:["abs","norm"]},lcm:{name:"lcm",category:"Arithmetic",syntax:["lcm(x, y)"],description:"Compute the least common multiple.",examples:["lcm(4, 6)","lcm(6, 21)","lcm(6, 21, 5)"],seealso:["gcd"]},log:{name:"log",category:"Arithmetic",syntax:["log(x)","log(x, base)"],description:"Compute the logarithm of a value. If no base is provided, the natural logarithm of x is calculated. If base if provided, the logarithm is calculated for the specified base. log(x, base) is defined as log(x) / log(base).",examples:["log(3.5)","a = log(2.4)","exp(a)","10 ^ 4","log(10000, 10)","log(10000) / log(10)","b = log(1024, 2)","2 ^ b"],seealso:["exp","log1p","log2","log10"]},log2:{name:"log2",category:"Arithmetic",syntax:["log2(x)"],description:"Calculate the 2-base of a value. This is the same as calculating `log(x, 2)`.",examples:["log2(0.03125)","log2(16)","log2(16) / log2(2)","pow(2, 4)"],seealso:["exp","log1p","log","log10"]},log1p:{name:"log1p",category:"Arithmetic",syntax:["log1p(x)","log1p(x, base)"],description:"Calculate the logarithm of a `value+1`",examples:["log1p(2.5)","exp(log1p(1.4))","pow(10, 4)","log1p(9999, 10)","log1p(9999) / log(10)"],seealso:["exp","log","log2","log10"]},log10:{name:"log10",category:"Arithmetic",syntax:["log10(x)"],description:"Compute the 10-base logarithm of a value.",examples:["log10(0.00001)","log10(10000)","10 ^ 4","log(10000) / log(10)","log(10000, 10)"],seealso:["exp","log"]},mod:{name:"mod",category:"Operators",syntax:["x % y","x mod y","mod(x, y)"],description:"Calculates the modulus, the remainder of an integer division.",examples:["7 % 3","11 % 2","10 mod 4","isOdd(x) = x % 2","isOdd(2)","isOdd(3)"],seealso:["divide"]},multiply:{name:"multiply",category:"Operators",syntax:["x * y","multiply(x, y)"],description:"multiply two values.",examples:["a = 2.1 * 3.4","a / 3.4","2 * 3 + 4","2 * (3 + 4)","3 * 2.1 km"],seealso:["divide"]},norm:{name:"norm",category:"Arithmetic",syntax:["norm(x)","norm(x, p)"],description:"Calculate the norm of a number, vector or matrix.",examples:["abs(-3.5)","norm(-3.5)","norm(3 - 4i)","norm([1, 2, -3], Infinity)","norm([1, 2, -3], -Infinity)","norm([3, 4], 2)","norm([[1, 2], [3, 4]], 1)",'norm([[1, 2], [3, 4]], "inf")','norm([[1, 2], [3, 4]], "fro")']},nthRoot:{name:"nthRoot",category:"Arithmetic",syntax:["nthRoot(a)","nthRoot(a, root)"],description:'Calculate the nth root of a value. The principal nth root of a positive real number A, is the positive real solution of the equation "x^root = A".',examples:["4 ^ 3","nthRoot(64, 3)","nthRoot(9, 2)","sqrt(9)"],seealso:["nthRoots","pow","sqrt"]},nthRoots:{name:"nthRoots",category:"Arithmetic",syntax:["nthRoots(A)","nthRoots(A, root)"],description:'Calculate the nth roots of a value. An nth root of a positive real number A, is a positive real solution of the equation "x^root = A". This function returns an array of complex values.',examples:["nthRoots(1)","nthRoots(1, 3)"],seealso:["sqrt","pow","nthRoot"]},pow:{name:"pow",category:"Operators",syntax:["x ^ y","pow(x, y)"],description:"Calculates the power of x to y, x^y.",examples:["2^3","2*2*2","1 + e ^ (pi * i)"],seealso:["multiply","nthRoot","nthRoots","sqrt"]},round:{name:"round",category:"Arithmetic",syntax:["round(x)","round(x, n)"],description:"round a value towards the nearest integer.If x is complex, both real and imaginary part are rounded towards the nearest integer. When n is specified, the value is rounded to n decimals.",examples:["round(3.2)","round(3.8)","round(-4.2)","round(-4.8)","round(pi, 3)","round(123.45678, 2)"],seealso:["ceil","floor","fix"]},sign:{name:"sign",category:"Arithmetic",syntax:["sign(x)"],description:"Compute the sign of a value. The sign of a value x is 1 when x>1, -1 when x<0, and 0 when x=0.",examples:["sign(3.5)","sign(-4.2)","sign(0)"],seealso:["abs"]},sqrt:{name:"sqrt",category:"Arithmetic",syntax:["sqrt(x)"],description:"Compute the square root value. If x = y * y, then y is the square root of x.",examples:["sqrt(25)","5 * 5","sqrt(-1)"],seealso:["square","sqrtm","multiply","nthRoot","nthRoots","pow"]},sqrtm:{name:"sqrtm",category:"Arithmetic",syntax:["sqrtm(x)"],description:"Calculate the principal square root of a square matrix. The principal square root matrix `X` of another matrix `A` is such that `X * X = A`.",examples:["sqrtm([[1, 2], [3, 4]])"],seealso:["sqrt","abs","square","multiply"]},square:{name:"square",category:"Arithmetic",syntax:["square(x)"],description:"Compute the square of a value. The square of x is x * x.",examples:["square(3)","sqrt(9)","3^2","3 * 3"],seealso:["multiply","pow","sqrt","cube"]},subtract:{name:"subtract",category:"Operators",syntax:["x - y","subtract(x, y)"],description:"subtract two values.",examples:["a = 5.3 - 2","a + 2","2/3 - 1/6","2 * 3 - 3","2.1 km - 500m"],seealso:["add"]},unaryMinus:{name:"unaryMinus",category:"Operators",syntax:["-x","unaryMinus(x)"],description:"Inverse the sign of a value. Converts booleans and strings to numbers.",examples:["-4.5","-(-5.6)",'-"22"'],seealso:["add","subtract","unaryPlus"]},unaryPlus:{name:"unaryPlus",category:"Operators",syntax:["+x","unaryPlus(x)"],description:"Converts booleans and strings to numbers.",examples:["+true",'+"2"'],seealso:["add","subtract","unaryMinus"]},xgcd:{name:"xgcd",category:"Arithmetic",syntax:["xgcd(a, b)"],description:"Calculate the extended greatest common divisor for two values. The result is an array [d, x, y] with 3 entries, where d is the greatest common divisor, and d = x * a + y * b.",examples:["xgcd(8, 12)","gcd(8, 12)","xgcd(36163, 21199)"],seealso:["gcd","lcm"]},invmod:{name:"invmod",category:"Arithmetic",syntax:["invmod(a, b)"],description:"Calculate the (modular) multiplicative inverse of a modulo b. Solution to the equation ax ≣ 1 (mod b)",examples:["invmod(8, 12)=NaN","invmod(7, 13)=2","math.invmod(15151, 15122)=10429"],seealso:["gcd","xgcd"]},bitAnd:{name:"bitAnd",category:"Bitwise",syntax:["x & y","bitAnd(x, y)"],description:"Bitwise AND operation. Performs the logical AND operation on each pair of the corresponding bits of the two given values by multiplying them. If both bits in the compared position are 1, the bit in the resulting binary representation is 1, otherwise, the result is 0",examples:["5 & 3","bitAnd(53, 131)","[1, 12, 31] & 42"],seealso:["bitNot","bitOr","bitXor","leftShift","rightArithShift","rightLogShift"]},bitNot:{name:"bitNot",category:"Bitwise",syntax:["~x","bitNot(x)"],description:"Bitwise NOT operation. Performs a logical negation on each bit of the given value. Bits that are 0 become 1, and those that are 1 become 0.",examples:["~1","~2","bitNot([2, -3, 4])"],seealso:["bitAnd","bitOr","bitXor","leftShift","rightArithShift","rightLogShift"]},bitOr:{name:"bitOr",category:"Bitwise",syntax:["x | y","bitOr(x, y)"],description:"Bitwise OR operation. Performs the logical inclusive OR operation on each pair of corresponding bits of the two given values. The result in each position is 1 if the first bit is 1 or the second bit is 1 or both bits are 1, otherwise, the result is 0.",examples:["5 | 3","bitOr([1, 2, 3], 4)"],seealso:["bitAnd","bitNot","bitXor","leftShift","rightArithShift","rightLogShift"]},bitXor:{name:"bitXor",category:"Bitwise",syntax:["bitXor(x, y)"],description:"Bitwise XOR operation, exclusive OR. Performs the logical exclusive OR operation on each pair of corresponding bits of the two given values. The result in each position is 1 if only the first bit is 1 or only the second bit is 1, but will be 0 if both are 0 or both are 1.",examples:["bitOr(1, 2)","bitXor([2, 3, 4], 4)"],seealso:["bitAnd","bitNot","bitOr","leftShift","rightArithShift","rightLogShift"]},leftShift:{name:"leftShift",category:"Bitwise",syntax:["x << y","leftShift(x, y)"],description:"Bitwise left logical shift of a value x by y number of bits.",examples:["4 << 1","8 >> 1"],seealso:["bitAnd","bitNot","bitOr","bitXor","rightArithShift","rightLogShift"]},rightArithShift:{name:"rightArithShift",category:"Bitwise",syntax:["x >> y","rightArithShift(x, y)"],description:"Bitwise right arithmetic shift of a value x by y number of bits.",examples:["8 >> 1","4 << 1","-12 >> 2"],seealso:["bitAnd","bitNot","bitOr","bitXor","leftShift","rightLogShift"]},rightLogShift:{name:"rightLogShift",category:"Bitwise",syntax:["x >>> y","rightLogShift(x, y)"],description:"Bitwise right logical shift of a value x by y number of bits.",examples:["8 >>> 1","4 << 1","-12 >>> 2"],seealso:["bitAnd","bitNot","bitOr","bitXor","leftShift","rightArithShift"]},bellNumbers:{name:"bellNumbers",category:"Combinatorics",syntax:["bellNumbers(n)"],description:"The Bell Numbers count the number of partitions of a set. A partition is a pairwise disjoint subset of S whose union is S. `bellNumbers` only takes integer arguments. The following condition must be enforced: n >= 0.",examples:["bellNumbers(3)","bellNumbers(8)"],seealso:["stirlingS2"]},catalan:{name:"catalan",category:"Combinatorics",syntax:["catalan(n)"],description:"The Catalan Numbers enumerate combinatorial structures of many different types. catalan only takes integer arguments. The following condition must be enforced: n >= 0.",examples:["catalan(3)","catalan(8)"],seealso:["bellNumbers"]},composition:{name:"composition",category:"Combinatorics",syntax:["composition(n, k)"],description:"The composition counts of n into k parts. composition only takes integer arguments. The following condition must be enforced: k <= n.",examples:["composition(5, 3)"],seealso:["combinations"]},stirlingS2:{name:"stirlingS2",category:"Combinatorics",syntax:["stirlingS2(n, k)"],description:"he Stirling numbers of the second kind, counts the number of ways to partition a set of n labelled objects into k nonempty unlabelled subsets. `stirlingS2` only takes integer arguments. The following condition must be enforced: k <= n. If n = k or k = 1, then s(n,k) = 1.",examples:["stirlingS2(5, 3)"],seealso:["bellNumbers"]},config:{name:"config",category:"Core",syntax:["config()","config(options)"],description:"Get configuration or change configuration.",examples:["config()","1/3 + 1/4",'config({number: "Fraction"})',"1/3 + 1/4"],seealso:[]},import:{name:"import",category:"Core",syntax:["import(functions)","import(functions, options)"],description:"Import functions or constants from an object.",examples:["import({myFn: f(x)=x^2, myConstant: 32 })","myFn(2)","myConstant"],seealso:[]},typed:{name:"typed",category:"Core",syntax:["typed(signatures)","typed(name, signatures)"],description:"Create a typed function.",examples:['double = typed({ "number, number": f(x)=x+x })',"double(2)",'double("hello")'],seealso:[]},arg:{name:"arg",category:"Complex",syntax:["arg(x)"],description:"Compute the argument of a complex value. If x = a+bi, the argument is computed as atan2(b, a).",examples:["arg(2 + 2i)","atan2(3, 2)","arg(2 + 3i)"],seealso:["re","im","conj","abs"]},conj:{name:"conj",category:"Complex",syntax:["conj(x)"],description:"Compute the complex conjugate of a complex value. If x = a+bi, the complex conjugate is a-bi.",examples:["conj(2 + 3i)","conj(2 - 3i)","conj(-5.2i)"],seealso:["re","im","abs","arg"]},re:{name:"re",category:"Complex",syntax:["re(x)"],description:"Get the real part of a complex number.",examples:["re(2 + 3i)","im(2 + 3i)","re(-5.2i)","re(2.4)"],seealso:["im","conj","abs","arg"]},im:{name:"im",category:"Complex",syntax:["im(x)"],description:"Get the imaginary part of a complex number.",examples:["im(2 + 3i)","re(2 + 3i)","im(-5.2i)","im(2.4)"],seealso:["re","conj","abs","arg"]},evaluate:{name:"evaluate",category:"Expression",syntax:["evaluate(expression)","evaluate([expr1, expr2, expr3, ...])"],description:"Evaluate an expression or an array with expressions.",examples:['evaluate("2 + 3")','evaluate("sqrt(" + 4 + ")")'],seealso:[]},help:{name:"help",category:"Expression",syntax:["help(object)","help(string)"],description:"Display documentation on a function or data type.",examples:["help(sqrt)",'help("complex")'],seealso:[]},distance:{name:"distance",category:"Geometry",syntax:["distance([x1, y1], [x2, y2])","distance([[x1, y1], [x2, y2]])"],description:"Calculates the Euclidean distance between two points.",examples:["distance([0,0], [4,4])","distance([[0,0], [4,4]])"],seealso:[]},intersect:{name:"intersect",category:"Geometry",syntax:["intersect(expr1, expr2, expr3, expr4)","intersect(expr1, expr2, expr3)"],description:"Computes the intersection point of lines and/or planes.",examples:["intersect([0, 0], [10, 10], [10, 0], [0, 10])","intersect([1, 0, 1],  [4, -2, 2], [1, 1, 1, 6])"],seealso:[]},and:{name:"and",category:"Logical",syntax:["x and y","and(x, y)"],description:"Logical and. Test whether two values are both defined with a nonzero/nonempty value.",examples:["true and false","true and true","2 and 4"],seealso:["not","or","xor"]},not:{name:"not",category:"Logical",syntax:["not x","not(x)"],description:"Logical not. Flips the boolean value of given argument.",examples:["not true","not false","not 2","not 0"],seealso:["and","or","xor"]},or:{name:"or",category:"Logical",syntax:["x or y","or(x, y)"],description:"Logical or. Test if at least one value is defined with a nonzero/nonempty value.",examples:["true or false","false or false","0 or 4"],seealso:["not","and","xor"]},xor:{name:"xor",category:"Logical",syntax:["x xor y","xor(x, y)"],description:"Logical exclusive or, xor. Test whether one and only one value is defined with a nonzero/nonempty value.",examples:["true xor false","false xor false","true xor true","0 xor 4"],seealso:["not","and","or"]},concat:{name:"concat",category:"Matrix",syntax:["concat(A, B, C, ...)","concat(A, B, C, ..., dim)"],description:"Concatenate matrices. By default, the matrices are concatenated by the last dimension. The dimension on which to concatenate can be provided as last argument.",examples:["A = [1, 2; 5, 6]","B = [3, 4; 7, 8]","concat(A, B)","concat(A, B, 1)","concat(A, B, 2)"],seealso:["det","diag","identity","inv","ones","range","size","squeeze","subset","trace","transpose","zeros"]},count:{name:"count",category:"Matrix",syntax:["count(x)"],description:"Count the number of elements of a matrix, array or string.",examples:["a = [1, 2; 3, 4; 5, 6]","count(a)","size(a)",'count("hello world")'],seealso:["size"]},cross:{name:"cross",category:"Matrix",syntax:["cross(A, B)"],description:"Calculate the cross product for two vectors in three dimensional space.",examples:["cross([1, 1, 0],  [0, 1, 1])","cross([3, -3, 1], [4, 9, 2])","cross([2, 3, 4],  [5, 6, 7])"],seealso:["multiply","dot"]},column:{name:"column",category:"Matrix",syntax:["column(x, index)"],description:"Return a column from a matrix or array.",examples:["A = [[1, 2], [3, 4]]","column(A, 1)","column(A, 2)"],seealso:["row","matrixFromColumns"]},ctranspose:{name:"ctranspose",category:"Matrix",syntax:["x'","ctranspose(x)"],description:"Complex Conjugate and Transpose a matrix",examples:["a = [1, 2, 3; 4, 5, 6]","a'","ctranspose(a)"],seealso:["concat","det","diag","identity","inv","ones","range","size","squeeze","subset","trace","zeros"]},det:{name:"det",category:"Matrix",syntax:["det(x)"],description:"Calculate the determinant of a matrix",examples:["det([1, 2; 3, 4])","det([-2, 2, 3; -1, 1, 3; 2, 0, -1])"],seealso:["concat","diag","identity","inv","ones","range","size","squeeze","subset","trace","transpose","zeros"]},diag:{name:"diag",category:"Matrix",syntax:["diag(x)","diag(x, k)"],description:"Create a diagonal matrix or retrieve the diagonal of a matrix. When x is a vector, a matrix with the vector values on the diagonal will be returned. When x is a matrix, a vector with the diagonal values of the matrix is returned. When k is provided, the k-th diagonal will be filled in or retrieved, if k is positive, the values are placed on the super diagonal. When k is negative, the values are placed on the sub diagonal.",examples:["diag(1:3)","diag(1:3, 1)","a = [1, 2, 3; 4, 5, 6; 7, 8, 9]","diag(a)"],seealso:["concat","det","identity","inv","ones","range","size","squeeze","subset","trace","transpose","zeros"]},diff:{name:"diff",category:"Matrix",syntax:["diff(arr)","diff(arr, dim)"],description:["Create a new matrix or array with the difference of the passed matrix or array.","Dim parameter is optional and used to indicant the dimension of the array/matrix to apply the difference","If no dimension parameter is passed it is assumed as dimension 0","Dimension is zero-based in javascript and one-based in the parser","Arrays must be 'rectangular' meaning arrays like [1, 2]","If something is passed as a matrix it will be returned as a matrix but other than that all matrices are converted to arrays"],examples:["diff([1, 2, 4, 7, 0])","diff([1, 2, 4, 7, 0], 0)","diff(matrix([1, 2, 4, 7, 0]))","diff([[1, 2], [3, 4]])","diff([[1, 2], [3, 4]], 0)","diff([[1, 2], [3, 4]], 1)","diff([[1, 2], [3, 4]], bignumber(1))","diff(matrix([[1, 2], [3, 4]]), 1)","diff([[1, 2], matrix([3, 4])], 1)"],seealso:["subtract","partitionSelect"]},dot:{name:"dot",category:"Matrix",syntax:["dot(A, B)","A * B"],description:"Calculate the dot product of two vectors. The dot product of A = [a1, a2, a3, ..., an] and B = [b1, b2, b3, ..., bn] is defined as dot(A, B) = a1 * b1 + a2 * b2 + a3 * b3 + ... + an * bn",examples:["dot([2, 4, 1], [2, 2, 3])","[2, 4, 1] * [2, 2, 3]"],seealso:["multiply","cross"]},getMatrixDataType:{name:"getMatrixDataType",category:"Matrix",syntax:["getMatrixDataType(x)"],description:'Find the data type of all elements in a matrix or array, for example "number" if all items are a number and "Complex" if all values are complex numbers. If a matrix contains more than one data type, it will return "mixed".',examples:["getMatrixDataType([1, 2, 3])","getMatrixDataType([[5 cm], [2 inch]])",'getMatrixDataType([1, "text"])',"getMatrixDataType([1, bignumber(4)])"],seealso:["matrix","sparse","typeOf"]},identity:{name:"identity",category:"Matrix",syntax:["identity(n)","identity(m, n)","identity([m, n])"],description:"Returns the identity matrix with size m-by-n. The matrix has ones on the diagonal and zeros elsewhere.",examples:["identity(3)","identity(3, 5)","a = [1, 2, 3; 4, 5, 6]","identity(size(a))"],seealso:["concat","det","diag","inv","ones","range","size","squeeze","subset","trace","transpose","zeros"]},filter:{name:"filter",category:"Matrix",syntax:["filter(x, test)"],description:"Filter items in a matrix.",examples:["isPositive(x) = x > 0","filter([6, -2, -1, 4, 3], isPositive)","filter([6, -2, 0, 1, 0], x != 0)"],seealso:["sort","map","forEach"]},flatten:{name:"flatten",category:"Matrix",syntax:["flatten(x)"],description:"Flatten a multi dimensional matrix into a single dimensional matrix.",examples:["a = [1, 2, 3; 4, 5, 6]","size(a)","b = flatten(a)","size(b)"],seealso:["concat","resize","size","squeeze"]},forEach:{name:"forEach",category:"Matrix",syntax:["forEach(x, callback)"],description:"Iterates over all elements of a matrix/array, and executes the given callback function.",examples:[],seealso:["map","sort","filter"]},inv:{name:"inv",category:"Matrix",syntax:["inv(x)"],description:"Calculate the inverse of a matrix",examples:["inv([1, 2; 3, 4])","inv(4)","1 / 4"],seealso:["concat","det","diag","identity","ones","range","size","squeeze","subset","trace","transpose","zeros"]},eigs:{name:"eigs",category:"Matrix",syntax:["eigs(x)"],description:"Calculate the eigenvalues and eigenvectors of a real symmetric matrix",examples:["eigs([[5, 2.3], [2.3, 1]])"],seealso:["inv"]},kron:{name:"kron",category:"Matrix",syntax:["kron(x, y)"],description:"Calculates the kronecker product of 2 matrices or vectors.",examples:["kron([[1, 0], [0, 1]], [[1, 2], [3, 4]])","kron([1,1], [2,3,4])"],seealso:["multiply","dot","cross"]},matrixFromFunction:{name:"matrixFromFunction",category:"Matrix",syntax:["math.matrixFromFunction(size, fn)","math.matrixFromFunction(size, fn, format)","math.matrixFromFunction(size, fn, format, datatype)","math.matrixFromFunction(size, format, fn)","math.matrixFromFunction(size, format, datatype, fn)"],description:"Create a matrix by evaluating a generating function at each index.",examples:["f(I) = I[1] - I[2]","matrixFromFunction([3,3], f)","g(I) = I[1] - I[2] == 1 ? 4 : 0",'matrixFromFunction([100, 100], "sparse", g)',"matrixFromFunction([5], random)"],seealso:["matrix","matrixFromRows","matrixFromColumns","zeros"]},matrixFromRows:{name:"matrixFromRows",category:"Matrix",syntax:["math.matrixFromRows(...arr)","math.matrixFromRows(row1, row2)","math.matrixFromRows(row1, row2, row3)"],description:"Create a dense matrix from vectors as individual rows.",examples:["matrixFromRows([1, 2, 3], [[4],[5],[6]])"],seealso:["matrix","matrixFromColumns","matrixFromFunction","zeros"]},matrixFromColumns:{name:"matrixFromColumns",category:"Matrix",syntax:["math.matrixFromColumns(...arr)","math.matrixFromColumns(row1, row2)","math.matrixFromColumns(row1, row2, row3)"],description:"Create a dense matrix from vectors as individual columns.",examples:["matrixFromColumns([1, 2, 3], [[4],[5],[6]])"],seealso:["matrix","matrixFromRows","matrixFromFunction","zeros"]},map:{name:"map",category:"Matrix",syntax:["map(x, callback)"],description:"Create a new matrix or array with the results of the callback function executed on each entry of the matrix/array.",examples:["map([1, 2, 3], square)"],seealso:["filter","forEach"]},ones:{name:"ones",category:"Matrix",syntax:["ones(m)","ones(m, n)","ones(m, n, p, ...)","ones([m])","ones([m, n])","ones([m, n, p, ...])"],description:"Create a matrix containing ones.",examples:["ones(3)","ones(3, 5)","ones([2,3]) * 4.5","a = [1, 2, 3; 4, 5, 6]","ones(size(a))"],seealso:["concat","det","diag","identity","inv","range","size","squeeze","subset","trace","transpose","zeros"]},partitionSelect:{name:"partitionSelect",category:"Matrix",syntax:["partitionSelect(x, k)","partitionSelect(x, k, compare)"],description:"Partition-based selection of an array or 1D matrix. Will find the kth smallest value, and mutates the input array. Uses Quickselect.",examples:["partitionSelect([5, 10, 1], 2)",'partitionSelect(["C", "B", "A", "D"], 1)'],seealso:["sort"]},range:{name:"range",category:"Type",syntax:["start:end","start:step:end","range(start, end)","range(start, end, step)","range(string)"],description:"Create a range. Lower bound of the range is included, upper bound is excluded.",examples:["1:5","3:-1:-3","range(3, 7)","range(0, 12, 2)",'range("4:10")',"a = [1, 2, 3, 4; 5, 6, 7, 8]","a[1:2, 1:2]"],seealso:["concat","det","diag","identity","inv","ones","size","squeeze","subset","trace","transpose","zeros"]},resize:{name:"resize",category:"Matrix",syntax:["resize(x, size)","resize(x, size, defaultValue)"],description:"Resize a matrix.",examples:["resize([1,2,3,4,5], [3])","resize([1,2,3], [5])","resize([1,2,3], [5], -1)","resize(2, [2, 3])",'resize("hello", [8], "!")'],seealso:["size","subset","squeeze","reshape"]},reshape:{name:"reshape",category:"Matrix",syntax:["reshape(x, sizes)"],description:"Reshape a multi dimensional array to fit the specified dimensions.",examples:["reshape([1, 2, 3, 4, 5, 6], [2, 3])","reshape([[1, 2], [3, 4]], [1, 4])","reshape([[1, 2], [3, 4]], [4])"],seealso:["size","squeeze","resize"]},rotate:{name:"rotate",category:"Matrix",syntax:["rotate(w, theta)","rotate(w, theta, v)"],description:"Returns a 2-D rotation matrix (2x2) for a given angle (in radians). Returns a 2-D rotation matrix (3x3) of a given angle (in radians) around given axis.",examples:["rotate([1, 0], math.pi / 2)",'rotate(matrix([1, 0]), unit("35deg"))','rotate([1, 0, 0], unit("90deg"), [0, 0, 1])','rotate(matrix([1, 0, 0]), unit("90deg"), matrix([0, 0, 1]))'],seealso:["matrix","rotationMatrix"]},rotationMatrix:{name:"rotationMatrix",category:"Matrix",syntax:["rotationMatrix(theta)","rotationMatrix(theta, v)","rotationMatrix(theta, v, format)"],description:"Returns a 2-D rotation matrix (2x2) for a given angle (in radians). Returns a 2-D rotation matrix (3x3) of a given angle (in radians) around given axis.",examples:["rotationMatrix(pi / 2)",'rotationMatrix(unit("45deg"), [0, 0, 1])','rotationMatrix(1, matrix([0, 0, 1]), "sparse")'],seealso:["cos","sin"]},row:{name:"row",category:"Matrix",syntax:["row(x, index)"],description:"Return a row from a matrix or array.",examples:["A = [[1, 2], [3, 4]]","row(A, 1)","row(A, 2)"],seealso:["column","matrixFromRows"]},size:{name:"size",category:"Matrix",syntax:["size(x)"],description:"Calculate the size of a matrix.",examples:["size(2.3)",'size("hello world")',"a = [1, 2; 3, 4; 5, 6]","size(a)","size(1:6)"],seealso:["concat","count","det","diag","identity","inv","ones","range","squeeze","subset","trace","transpose","zeros"]},sort:{name:"sort",category:"Matrix",syntax:["sort(x)","sort(x, compare)"],description:'Sort the items in a matrix. Compare can be a string "asc", "desc", "natural", or a custom sort function.',examples:["sort([5, 10, 1])",'sort(["C", "B", "A", "D"])',"sortByLength(a, b) = size(a)[1] - size(b)[1]",'sort(["Langdon", "Tom", "Sara"], sortByLength)','sort(["10", "1", "2"], "natural")'],seealso:["map","filter","forEach"]},squeeze:{name:"squeeze",category:"Matrix",syntax:["squeeze(x)"],description:"Remove inner and outer singleton dimensions from a matrix.",examples:["a = zeros(3,2,1)","size(squeeze(a))","b = zeros(1,1,3)","size(squeeze(b))"],seealso:["concat","det","diag","identity","inv","ones","range","size","subset","trace","transpose","zeros"]},subset:{name:"subset",category:"Matrix",syntax:["value(index)","value(index) = replacement","subset(value, [index])","subset(value, [index], replacement)"],description:"Get or set a subset of a matrix or string. Indexes are one-based. Both the ranges lower-bound and upper-bound are included.",examples:["d = [1, 2; 3, 4]","e = []","e[1, 1:2] = [5, 6]","e[2, :] = [7, 8]","f = d * e","f[2, 1]","f[:, 1]"],seealso:["concat","det","diag","identity","inv","ones","range","size","squeeze","trace","transpose","zeros"]},trace:{name:"trace",category:"Matrix",syntax:["trace(A)"],description:"Calculate the trace of a matrix: the sum of the elements on the main diagonal of a square matrix.",examples:["A = [1, 2, 3; -1, 2, 3; 2, 0, 3]","trace(A)"],seealso:["concat","det","diag","identity","inv","ones","range","size","squeeze","subset","transpose","zeros"]},transpose:{name:"transpose",category:"Matrix",syntax:["x'","transpose(x)"],description:"Transpose a matrix",examples:["a = [1, 2, 3; 4, 5, 6]","a'","transpose(a)"],seealso:["concat","det","diag","identity","inv","ones","range","size","squeeze","subset","trace","zeros"]},zeros:{name:"zeros",category:"Matrix",syntax:["zeros(m)","zeros(m, n)","zeros(m, n, p, ...)","zeros([m])","zeros([m, n])","zeros([m, n, p, ...])"],description:"Create a matrix containing zeros.",examples:["zeros(3)","zeros(3, 5)","a = [1, 2, 3; 4, 5, 6]","zeros(size(a))"],seealso:["concat","det","diag","identity","inv","ones","range","size","squeeze","subset","trace","transpose"]},combinations:{name:"combinations",category:"Probability",syntax:["combinations(n, k)"],description:"Compute the number of combinations of n items taken k at a time",examples:["combinations(7, 5)"],seealso:["combinationsWithRep","permutations","factorial"]},combinationsWithRep:{name:"combinationsWithRep",category:"Probability",syntax:["combinationsWithRep(n, k)"],description:"Compute the number of combinations of n items taken k at a time with replacements.",examples:["combinationsWithRep(7, 5)"],seealso:["combinations","permutations","factorial"]},factorial:{name:"factorial",category:"Probability",syntax:["n!","factorial(n)"],description:"Compute the factorial of a value",examples:["5!","5 * 4 * 3 * 2 * 1","3!"],seealso:["combinations","combinationsWithRep","permutations","gamma"]},gamma:{name:"gamma",category:"Probability",syntax:["gamma(n)"],description:"Compute the gamma function. For small values, the Lanczos approximation is used, and for large values the extended Stirling approximation.",examples:["gamma(4)","3!","gamma(1/2)","sqrt(pi)"],seealso:["factorial"]},kldivergence:{name:"kldivergence",category:"Probability",syntax:["kldivergence(x, y)"],description:"Calculate the Kullback-Leibler (KL) divergence  between two distributions.",examples:["kldivergence([0.7,0.5,0.4], [0.2,0.9,0.5])"],seealso:[]},multinomial:{name:"multinomial",category:"Probability",syntax:["multinomial(A)"],description:"Multinomial Coefficients compute the number of ways of picking a1, a2, ..., ai unordered outcomes from `n` possibilities. multinomial takes one array of integers as an argument. The following condition must be enforced: every ai > 0.",examples:["multinomial([1, 2, 1])"],seealso:["combinations","factorial"]},permutations:{name:"permutations",category:"Probability",syntax:["permutations(n)","permutations(n, k)"],description:"Compute the number of permutations of n items taken k at a time",examples:["permutations(5)","permutations(5, 3)"],seealso:["combinations","combinationsWithRep","factorial"]},pickRandom:{name:"pickRandom",category:"Probability",syntax:["pickRandom(array)","pickRandom(array, number)","pickRandom(array, weights)","pickRandom(array, number, weights)","pickRandom(array, weights, number)"],description:"Pick a random entry from a given array.",examples:["pickRandom(0:10)","pickRandom([1, 3, 1, 6])","pickRandom([1, 3, 1, 6], 2)","pickRandom([1, 3, 1, 6], [2, 3, 2, 1])","pickRandom([1, 3, 1, 6], 2, [2, 3, 2, 1])","pickRandom([1, 3, 1, 6], [2, 3, 2, 1], 2)"],seealso:["random","randomInt"]},random:{name:"random",category:"Probability",syntax:["random()","random(max)","random(min, max)","random(size)","random(size, max)","random(size, min, max)"],description:"Return a random number.",examples:["random()","random(10, 20)","random([2, 3])"],seealso:["pickRandom","randomInt"]},randomInt:{name:"randomInt",category:"Probability",syntax:["randomInt(max)","randomInt(min, max)","randomInt(size)","randomInt(size, max)","randomInt(size, min, max)"],description:"Return a random integer number",examples:["randomInt(10, 20)","randomInt([2, 3], 10)"],seealso:["pickRandom","random"]},compare:{name:"compare",category:"Relational",syntax:["compare(x, y)"],description:"Compare two values. Returns 1 when x > y, -1 when x < y, and 0 when x == y.",examples:["compare(2, 3)","compare(3, 2)","compare(2, 2)","compare(5cm, 40mm)","compare(2, [1, 2, 3])"],seealso:["equal","unequal","smaller","smallerEq","largerEq","compareNatural","compareText"]},compareNatural:{name:"compareNatural",category:"Relational",syntax:["compareNatural(x, y)"],description:"Compare two values of any type in a deterministic, natural way. Returns 1 when x > y, -1 when x < y, and 0 when x == y.",examples:["compareNatural(2, 3)","compareNatural(3, 2)","compareNatural(2, 2)","compareNatural(5cm, 40mm)",'compareNatural("2", "10")',"compareNatural(2 + 3i, 2 + 4i)","compareNatural([1, 2, 4], [1, 2, 3])","compareNatural([1, 5], [1, 2, 3])","compareNatural([1, 2], [1, 2])","compareNatural({a: 2}, {a: 4})"],seealso:["equal","unequal","smaller","smallerEq","largerEq","compare","compareText"]},compareText:{name:"compareText",category:"Relational",syntax:["compareText(x, y)"],description:"Compare two strings lexically. Comparison is case sensitive. Returns 1 when x > y, -1 when x < y, and 0 when x == y.",examples:['compareText("B", "A")','compareText("A", "B")','compareText("A", "A")','compareText("2", "10")','compare("2", "10")',"compare(2, 10)",'compareNatural("2", "10")','compareText("B", ["A", "B", "C"])'],seealso:["compare","compareNatural"]},deepEqual:{name:"deepEqual",category:"Relational",syntax:["deepEqual(x, y)"],description:"Check equality of two matrices element wise. Returns true if the size of both matrices is equal and when and each of the elements are equal.",examples:["deepEqual([1,3,4], [1,3,4])","deepEqual([1,3,4], [1,3])"],seealso:["equal","unequal","smaller","larger","smallerEq","largerEq","compare"]},equal:{name:"equal",category:"Relational",syntax:["x == y","equal(x, y)"],description:"Check equality of two values. Returns true if the values are equal, and false if not.",examples:["2+2 == 3","2+2 == 4","a = 3.2","b = 6-2.8","a == b","50cm == 0.5m"],seealso:["unequal","smaller","larger","smallerEq","largerEq","compare","deepEqual","equalText"]},equalText:{name:"equalText",category:"Relational",syntax:["equalText(x, y)"],description:"Check equality of two strings. Comparison is case sensitive. Returns true if the values are equal, and false if not.",examples:['equalText("Hello", "Hello")','equalText("a", "A")','equal("2e3", "2000")','equalText("2e3", "2000")','equalText("B", ["A", "B", "C"])'],seealso:["compare","compareNatural","compareText","equal"]},larger:{name:"larger",category:"Relational",syntax:["x > y","larger(x, y)"],description:"Check if value x is larger than y. Returns true if x is larger than y, and false if not.",examples:["2 > 3","5 > 2*2","a = 3.3","b = 6-2.8","(a > b)","(b < a)","5 cm > 2 inch"],seealso:["equal","unequal","smaller","smallerEq","largerEq","compare"]},largerEq:{name:"largerEq",category:"Relational",syntax:["x >= y","largerEq(x, y)"],description:"Check if value x is larger or equal to y. Returns true if x is larger or equal to y, and false if not.",examples:["2 >= 1+1","2 > 1+1","a = 3.2","b = 6-2.8","(a >= b)"],seealso:["equal","unequal","smallerEq","smaller","compare"]},smaller:{name:"smaller",category:"Relational",syntax:["x < y","smaller(x, y)"],description:"Check if value x is smaller than value y. Returns true if x is smaller than y, and false if not.",examples:["2 < 3","5 < 2*2","a = 3.3","b = 6-2.8","(a < b)","5 cm < 2 inch"],seealso:["equal","unequal","larger","smallerEq","largerEq","compare"]},smallerEq:{name:"smallerEq",category:"Relational",syntax:["x <= y","smallerEq(x, y)"],description:"Check if value x is smaller or equal to value y. Returns true if x is smaller than y, and false if not.",examples:["2 <= 1+1","2 < 1+1","a = 3.2","b = 6-2.8","(a <= b)"],seealso:["equal","unequal","larger","smaller","largerEq","compare"]},unequal:{name:"unequal",category:"Relational",syntax:["x != y","unequal(x, y)"],description:"Check unequality of two values. Returns true if the values are unequal, and false if they are equal.",examples:["2+2 != 3","2+2 != 4","a = 3.2","b = 6-2.8","a != b","50cm != 0.5m","5 cm != 2 inch"],seealso:["equal","smaller","larger","smallerEq","largerEq","compare","deepEqual"]},setCartesian:{name:"setCartesian",category:"Set",syntax:["setCartesian(set1, set2)"],description:"Create the cartesian product of two (multi)sets. Multi-dimension arrays will be converted to single-dimension arrays and the values will be sorted in ascending order before the operation.",examples:["setCartesian([1, 2], [3, 4])"],seealso:["setUnion","setIntersect","setDifference","setPowerset"]},setDifference:{name:"setDifference",category:"Set",syntax:["setDifference(set1, set2)"],description:"Create the difference of two (multi)sets: every element of set1, that is not the element of set2. Multi-dimension arrays will be converted to single-dimension arrays before the operation.",examples:["setDifference([1, 2, 3, 4], [3, 4, 5, 6])","setDifference([[1, 2], [3, 4]], [[3, 4], [5, 6]])"],seealso:["setUnion","setIntersect","setSymDifference"]},setDistinct:{name:"setDistinct",category:"Set",syntax:["setDistinct(set)"],description:"Collect the distinct elements of a multiset. A multi-dimension array will be converted to a single-dimension array before the operation.",examples:["setDistinct([1, 1, 1, 2, 2, 3])"],seealso:["setMultiplicity"]},setIntersect:{name:"setIntersect",category:"Set",syntax:["setIntersect(set1, set2)"],description:"Create the intersection of two (multi)sets. Multi-dimension arrays will be converted to single-dimension arrays before the operation.",examples:["setIntersect([1, 2, 3, 4], [3, 4, 5, 6])","setIntersect([[1, 2], [3, 4]], [[3, 4], [5, 6]])"],seealso:["setUnion","setDifference"]},setIsSubset:{name:"setIsSubset",category:"Set",syntax:["setIsSubset(set1, set2)"],description:"Check whether a (multi)set is a subset of another (multi)set: every element of set1 is the element of set2. Multi-dimension arrays will be converted to single-dimension arrays before the operation.",examples:["setIsSubset([1, 2], [3, 4, 5, 6])","setIsSubset([3, 4], [3, 4, 5, 6])"],seealso:["setUnion","setIntersect","setDifference"]},setMultiplicity:{name:"setMultiplicity",category:"Set",syntax:["setMultiplicity(element, set)"],description:"Count the multiplicity of an element in a multiset. A multi-dimension array will be converted to a single-dimension array before the operation.",examples:["setMultiplicity(1, [1, 2, 2, 4])","setMultiplicity(2, [1, 2, 2, 4])"],seealso:["setDistinct","setSize"]},setPowerset:{name:"setPowerset",category:"Set",syntax:["setPowerset(set)"],description:"Create the powerset of a (multi)set: the powerset contains very possible subsets of a (multi)set. A multi-dimension array will be converted to a single-dimension array before the operation.",examples:["setPowerset([1, 2, 3])"],seealso:["setCartesian"]},setSize:{name:"setSize",category:"Set",syntax:["setSize(set)","setSize(set, unique)"],description:'Count the number of elements of a (multi)set. When the second parameter "unique" is true, count only the unique values. A multi-dimension array will be converted to a single-dimension array before the operation.',examples:["setSize([1, 2, 2, 4])","setSize([1, 2, 2, 4], true)"],seealso:["setUnion","setIntersect","setDifference"]},setSymDifference:{name:"setSymDifference",category:"Set",syntax:["setSymDifference(set1, set2)"],description:"Create the symmetric difference of two (multi)sets. Multi-dimension arrays will be converted to single-dimension arrays before the operation.",examples:["setSymDifference([1, 2, 3, 4], [3, 4, 5, 6])","setSymDifference([[1, 2], [3, 4]], [[3, 4], [5, 6]])"],seealso:["setUnion","setIntersect","setDifference"]},setUnion:{name:"setUnion",category:"Set",syntax:["setUnion(set1, set2)"],description:"Create the union of two (multi)sets. Multi-dimension arrays will be converted to single-dimension arrays before the operation.",examples:["setUnion([1, 2, 3, 4], [3, 4, 5, 6])","setUnion([[1, 2], [3, 4]], [[3, 4], [5, 6]])"],seealso:["setIntersect","setDifference"]},erf:{name:"erf",category:"Special",syntax:["erf(x)"],description:"Compute the erf function of a value using a rational Chebyshev approximations for different intervals of x",examples:["erf(0.2)","erf(-0.5)","erf(4)"],seealso:[]},mad:{name:"mad",category:"Statistics",syntax:["mad(a, b, c, ...)","mad(A)"],description:"Compute the median absolute deviation of a matrix or a list with values. The median absolute deviation is defined as the median of the absolute deviations from the median.",examples:["mad(10, 20, 30)","mad([1, 2, 3])"],seealso:["mean","median","std","abs"]},max:{name:"max",category:"Statistics",syntax:["max(a, b, c, ...)","max(A)","max(A, dim)"],description:"Compute the maximum value of a list of values.",examples:["max(2, 3, 4, 1)","max([2, 3, 4, 1])","max([2, 5; 4, 3])","max([2, 5; 4, 3], 1)","max([2, 5; 4, 3], 2)","max(2.7, 7.1, -4.5, 2.0, 4.1)","min(2.7, 7.1, -4.5, 2.0, 4.1)"],seealso:["mean","median","min","prod","std","sum","variance"]},mean:{name:"mean",category:"Statistics",syntax:["mean(a, b, c, ...)","mean(A)","mean(A, dim)"],description:"Compute the arithmetic mean of a list of values.",examples:["mean(2, 3, 4, 1)","mean([2, 3, 4, 1])","mean([2, 5; 4, 3])","mean([2, 5; 4, 3], 1)","mean([2, 5; 4, 3], 2)","mean([1.0, 2.7, 3.2, 4.0])"],seealso:["max","median","min","prod","std","sum","variance"]},median:{name:"median",category:"Statistics",syntax:["median(a, b, c, ...)","median(A)"],description:"Compute the median of all values. The values are sorted and the middle value is returned. In case of an even number of values, the average of the two middle values is returned.",examples:["median(5, 2, 7)","median([3, -1, 5, 7])"],seealso:["max","mean","min","prod","std","sum","variance","quantileSeq"]},min:{name:"min",category:"Statistics",syntax:["min(a, b, c, ...)","min(A)","min(A, dim)"],description:"Compute the minimum value of a list of values.",examples:["min(2, 3, 4, 1)","min([2, 3, 4, 1])","min([2, 5; 4, 3])","min([2, 5; 4, 3], 1)","min([2, 5; 4, 3], 2)","min(2.7, 7.1, -4.5, 2.0, 4.1)","max(2.7, 7.1, -4.5, 2.0, 4.1)"],seealso:["max","mean","median","prod","std","sum","variance"]},mode:{name:"mode",category:"Statistics",syntax:["mode(a, b, c, ...)","mode(A)","mode(A, a, b, B, c, ...)"],description:"Computes the mode of all values as an array. In case mode being more than one, multiple values are returned in an array.",examples:["mode(2, 1, 4, 3, 1)","mode([1, 2.7, 3.2, 4, 2.7])","mode(1, 4, 6, 1, 6)"],seealso:["max","mean","min","median","prod","std","sum","variance"]},prod:{name:"prod",category:"Statistics",syntax:["prod(a, b, c, ...)","prod(A)"],description:"Compute the product of all values.",examples:["prod(2, 3, 4)","prod([2, 3, 4])","prod([2, 5; 4, 3])"],seealso:["max","mean","min","median","min","std","sum","variance"]},quantileSeq:{name:"quantileSeq",category:"Statistics",syntax:["quantileSeq(A, prob[, sorted])","quantileSeq(A, [prob1, prob2, ...][, sorted])","quantileSeq(A, N[, sorted])"],description:"Compute the prob order quantile of a matrix or a list with values. The sequence is sorted and the middle value is returned. Supported types of sequence values are: Number, BigNumber, Unit Supported types of probablity are: Number, BigNumber. \n\nIn case of a (multi dimensional) array or matrix, the prob order quantile of all elements will be calculated.",examples:["quantileSeq([3, -1, 5, 7], 0.5)","quantileSeq([3, -1, 5, 7], [1/3, 2/3])","quantileSeq([3, -1, 5, 7], 2)","quantileSeq([-1, 3, 5, 7], 0.5, true)"],seealso:["mean","median","min","max","prod","std","sum","variance"]},std:{name:"std",category:"Statistics",syntax:["std(a, b, c, ...)","std(A)","std(A, normalization)"],description:'Compute the standard deviation of all values, defined as std(A) = sqrt(variance(A)). Optional parameter normalization can be "unbiased" (default), "uncorrected", or "biased".',examples:["std(2, 4, 6)","std([2, 4, 6, 8])",'std([2, 4, 6, 8], "uncorrected")','std([2, 4, 6, 8], "biased")',"std([1, 2, 3; 4, 5, 6])"],seealso:["max","mean","min","median","prod","sum","variance"]},sum:{name:"sum",category:"Statistics",syntax:["sum(a, b, c, ...)","sum(A)"],description:"Compute the sum of all values.",examples:["sum(2, 3, 4, 1)","sum([2, 3, 4, 1])","sum([2, 5; 4, 3])"],seealso:["max","mean","median","min","prod","std","sum","variance"]},variance:{name:"variance",category:"Statistics",syntax:["variance(a, b, c, ...)","variance(A)","variance(A, normalization)"],description:'Compute the variance of all values. Optional parameter normalization can be "unbiased" (default), "uncorrected", or "biased".',examples:["variance(2, 4, 6)","variance([2, 4, 6, 8])",'variance([2, 4, 6, 8], "uncorrected")','variance([2, 4, 6, 8], "biased")',"variance([1, 2, 3; 4, 5, 6])"],seealso:["max","mean","min","median","min","prod","std","sum"]},acos:{name:"acos",category:"Trigonometry",syntax:["acos(x)"],description:"Compute the inverse cosine of a value in radians.",examples:["acos(0.5)","acos(cos(2.3))"],seealso:["cos","atan","asin"]},acosh:{name:"acosh",category:"Trigonometry",syntax:["acosh(x)"],description:"Calculate the hyperbolic arccos of a value, defined as `acosh(x) = ln(sqrt(x^2 - 1) + x)`.",examples:["acosh(1.5)"],seealso:["cosh","asinh","atanh"]},acot:{name:"acot",category:"Trigonometry",syntax:["acot(x)"],description:"Calculate the inverse cotangent of a value.",examples:["acot(0.5)","acot(cot(0.5))","acot(2)"],seealso:["cot","atan"]},acoth:{name:"acoth",category:"Trigonometry",syntax:["acoth(x)"],description:"Calculate the hyperbolic arccotangent of a value, defined as `acoth(x) = (ln((x+1)/x) + ln(x/(x-1))) / 2`.",examples:["acoth(2)","acoth(0.5)"],seealso:["acsch","asech"]},acsc:{name:"acsc",category:"Trigonometry",syntax:["acsc(x)"],description:"Calculate the inverse cotangent of a value.",examples:["acsc(2)","acsc(csc(0.5))","acsc(0.5)"],seealso:["csc","asin","asec"]},acsch:{name:"acsch",category:"Trigonometry",syntax:["acsch(x)"],description:"Calculate the hyperbolic arccosecant of a value, defined as `acsch(x) = ln(1/x + sqrt(1/x^2 + 1))`.",examples:["acsch(0.5)"],seealso:["asech","acoth"]},asec:{name:"asec",category:"Trigonometry",syntax:["asec(x)"],description:"Calculate the inverse secant of a value.",examples:["asec(0.5)","asec(sec(0.5))","asec(2)"],seealso:["acos","acot","acsc"]},asech:{name:"asech",category:"Trigonometry",syntax:["asech(x)"],description:"Calculate the inverse secant of a value.",examples:["asech(0.5)"],seealso:["acsch","acoth"]},asin:{name:"asin",category:"Trigonometry",syntax:["asin(x)"],description:"Compute the inverse sine of a value in radians.",examples:["asin(0.5)","asin(sin(0.5))"],seealso:["sin","acos","atan"]},asinh:{name:"asinh",category:"Trigonometry",syntax:["asinh(x)"],description:"Calculate the hyperbolic arcsine of a value, defined as `asinh(x) = ln(x + sqrt(x^2 + 1))`.",examples:["asinh(0.5)"],seealso:["acosh","atanh"]},atan:{name:"atan",category:"Trigonometry",syntax:["atan(x)"],description:"Compute the inverse tangent of a value in radians.",examples:["atan(0.5)","atan(tan(0.5))"],seealso:["tan","acos","asin"]},atanh:{name:"atanh",category:"Trigonometry",syntax:["atanh(x)"],description:"Calculate the hyperbolic arctangent of a value, defined as `atanh(x) = ln((1 + x)/(1 - x)) / 2`.",examples:["atanh(0.5)"],seealso:["acosh","asinh"]},atan2:{name:"atan2",category:"Trigonometry",syntax:["atan2(y, x)"],description:"Computes the principal value of the arc tangent of y/x in radians.",examples:["atan2(2, 2) / pi","angle = 60 deg in rad","x = cos(angle)","y = sin(angle)","atan2(y, x)"],seealso:["sin","cos","tan"]},cos:{name:"cos",category:"Trigonometry",syntax:["cos(x)"],description:"Compute the cosine of x in radians.",examples:["cos(2)","cos(pi / 4) ^ 2","cos(180 deg)","cos(60 deg)","sin(0.2)^2 + cos(0.2)^2"],seealso:["acos","sin","tan"]},cosh:{name:"cosh",category:"Trigonometry",syntax:["cosh(x)"],description:"Compute the hyperbolic cosine of x in radians.",examples:["cosh(0.5)"],seealso:["sinh","tanh","coth"]},cot:{name:"cot",category:"Trigonometry",syntax:["cot(x)"],description:"Compute the cotangent of x in radians. Defined as 1/tan(x)",examples:["cot(2)","1 / tan(2)"],seealso:["sec","csc","tan"]},coth:{name:"coth",category:"Trigonometry",syntax:["coth(x)"],description:"Compute the hyperbolic cotangent of x in radians.",examples:["coth(2)","1 / tanh(2)"],seealso:["sech","csch","tanh"]},csc:{name:"csc",category:"Trigonometry",syntax:["csc(x)"],description:"Compute the cosecant of x in radians. Defined as 1/sin(x)",examples:["csc(2)","1 / sin(2)"],seealso:["sec","cot","sin"]},csch:{name:"csch",category:"Trigonometry",syntax:["csch(x)"],description:"Compute the hyperbolic cosecant of x in radians. Defined as 1/sinh(x)",examples:["csch(2)","1 / sinh(2)"],seealso:["sech","coth","sinh"]},sec:{name:"sec",category:"Trigonometry",syntax:["sec(x)"],description:"Compute the secant of x in radians. Defined as 1/cos(x)",examples:["sec(2)","1 / cos(2)"],seealso:["cot","csc","cos"]},sech:{name:"sech",category:"Trigonometry",syntax:["sech(x)"],description:"Compute the hyperbolic secant of x in radians. Defined as 1/cosh(x)",examples:["sech(2)","1 / cosh(2)"],seealso:["coth","csch","cosh"]},sin:{name:"sin",category:"Trigonometry",syntax:["sin(x)"],description:"Compute the sine of x in radians.",examples:["sin(2)","sin(pi / 4) ^ 2","sin(90 deg)","sin(30 deg)","sin(0.2)^2 + cos(0.2)^2"],seealso:["asin","cos","tan"]},sinh:{name:"sinh",category:"Trigonometry",syntax:["sinh(x)"],description:"Compute the hyperbolic sine of x in radians.",examples:["sinh(0.5)"],seealso:["cosh","tanh"]},tan:{name:"tan",category:"Trigonometry",syntax:["tan(x)"],description:"Compute the tangent of x in radians.",examples:["tan(0.5)","sin(0.5) / cos(0.5)","tan(pi / 4)","tan(45 deg)"],seealso:["atan","sin","cos"]},tanh:{name:"tanh",category:"Trigonometry",syntax:["tanh(x)"],description:"Compute the hyperbolic tangent of x in radians.",examples:["tanh(0.5)","sinh(0.5) / cosh(0.5)"],seealso:["sinh","cosh"]},to:{name:"to",category:"Units",syntax:["x to unit","to(x, unit)"],description:"Change the unit of a value.",examples:["5 inch to cm","3.2kg to g","16 bytes in bits"],seealso:[]},clone:{name:"clone",category:"Utils",syntax:["clone(x)"],description:"Clone a variable. 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Returns true when the input is a number, BigNumber, Fraction, or boolean.",examples:["isNumeric(2)",'isNumeric("2")','hasNumericValue("2")',"isNumeric(0)","isNumeric(bignumber(500))","isNumeric(fraction(0.125))","isNumeric(2 + 3i)",'isNumeric([2.3, "foo", false])'],seealso:["isInteger","isZero","isNegative","isPositive","isNaN","hasNumericValue"]},hasNumericValue:{name:"hasNumericValue",category:"Utils",syntax:["hasNumericValue(x)"],description:"Test whether a value is an numeric value. 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Aramus pictus",136:"European gallinule, Porphyrio porphyrio",137:"American coot, marsh hen, mud hen, water hen, Fulica americana",138:"bustard",139:"ruddy turnstone, Arenaria interpres",140:"red-backed sandpiper, dunlin, Erolia alpina",141:"redshank, Tringa totanus",142:"dowitcher",143:"oystercatcher, oyster catcher",144:"pelican",145:"king penguin, Aptenodytes patagonica",146:"albatross, mollymawk",147:"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",148:"killer whale, killer, orca, grampus, sea wolf, Orcinus orca",149:"dugong, Dugong dugon",150:"sea lion",151:"Chihuahua",152:"Japanese spaniel",153:"Maltese dog, Maltese terrier, Maltese",154:"Pekinese, Pekingese, Peke",155:"Shih-Tzu",156:"Blenheim spaniel",157:"papillon",158:"toy terrier",159:"Rhodesian ridgeback",160:"Afghan hound, Afghan",161:"basset, basset hound",162:"beagle",163:"bloodhound, sleuthhound",164:"bluetick",165:"black-and-tan coonhound",166:"Walker hound, Walker foxhound",167:"English foxhound",168:"redbone",169:"borzoi, Russian wolfhound",170:"Irish wolfhound",171:"Italian greyhound",172:"whippet",173:"Ibizan hound, Ibizan Podenco",174:"Norwegian elkhound, elkhound",175:"otterhound, otter hound",176:"Saluki, gazelle hound",177:"Scottish deerhound, deerhound",178:"Weimaraner",179:"Staffordshire bullterrier, Staffordshire bull terrier",180:"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",181:"Bedlington terrier",182:"Border terrier",183:"Kerry blue terrier",184:"Irish terrier",185:"Norfolk terrier",186:"Norwich terrier",187:"Yorkshire terrier",188:"wire-haired fox terrier",189:"Lakeland terrier",190:"Sealyham terrier, Sealyham",191:"Airedale, Airedale terrier",192:"cairn, cairn terrier",193:"Australian terrier",194:"Dandie Dinmont, Dandie Dinmont terrier",195:"Boston bull, Boston terrier",196:"miniature schnauzer",197:"giant schnauzer",198:"standard schnauzer",199:"Scotch terrier, Scottish terrier, Scottie",200:"Tibetan terrier, chrysanthemum dog",201:"silky terrier, Sydney silky",202:"soft-coated wheaten terrier",203:"West Highland white terrier",204:"Lhasa, Lhasa apso",205:"flat-coated retriever",206:"curly-coated retriever",207:"golden retriever",208:"Labrador retriever",209:"Chesapeake Bay retriever",210:"German short-haired pointer",211:"vizsla, Hungarian pointer",212:"English setter",213:"Irish setter, red setter",214:"Gordon setter",215:"Brittany spaniel",216:"clumber, clumber spaniel",217:"English springer, English springer spaniel",218:"Welsh springer spaniel",219:"cocker spaniel, English cocker spaniel, cocker",220:"Sussex spaniel",221:"Irish water spaniel",222:"kuvasz",223:"schipperke",224:"groenendael",225:"malinois",226:"briard",227:"kelpie",228:"komondor",229:"Old English sheepdog, bobtail",230:"Shetland sheepdog, Shetland sheep dog, Shetland",231:"collie",232:"Border collie",233:"Bouvier des Flandres, Bouviers des Flandres",234:"Rottweiler",235:"German shepherd, German shepherd dog, German police dog, alsatian",236:"Doberman, Doberman pinscher",237:"miniature pinscher",238:"Greater Swiss Mountain dog",239:"Bernese mountain dog",240:"Appenzeller",241:"EntleBucher",242:"boxer",243:"bull mastiff",244:"Tibetan mastiff",245:"French bulldog",246:"Great Dane",247:"Saint Bernard, St Bernard",248:"Eskimo dog, husky",249:"malamute, malemute, Alaskan malamute",250:"Siberian husky",251:"dalmatian, coach dog, carriage dog",252:"affenpinscher, monkey pinscher, monkey dog",253:"basenji",254:"pug, pug-dog",255:"Leonberg",256:"Newfoundland, Newfoundland dog",257:"Great Pyrenees",258:"Samoyed, Samoyede",259:"Pomeranian",260:"chow, chow chow",261:"keeshond",262:"Brabancon griffon",263:"Pembroke, Pembroke Welsh corgi",264:"Cardigan, Cardigan Welsh corgi",265:"toy poodle",266:"miniature poodle",267:"standard poodle",268:"Mexican hairless",269:"timber wolf, grey wolf, gray wolf, Canis lupus",270:"white wolf, Arctic wolf, Canis lupus tundrarum",271:"red wolf, maned wolf, Canis rufus, Canis niger",272:"coyote, prairie wolf, brush wolf, Canis latrans",273:"dingo, warrigal, warragal, Canis dingo",274:"dhole, Cuon alpinus",275:"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",276:"hyena, hyaena",277:"red fox, Vulpes vulpes",278:"kit fox, Vulpes macrotis",279:"Arctic fox, white fox, Alopex lagopus",280:"grey fox, gray fox, Urocyon cinereoargenteus",281:"tabby, tabby cat",282:"tiger cat",283:"Persian cat",284:"Siamese cat, Siamese",285:"Egyptian cat",286:"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",287:"lynx, catamount",288:"leopard, Panthera pardus",289:"snow leopard, ounce, Panthera uncia",290:"jaguar, panther, Panthera onca, Felis onca",291:"lion, king of beasts, Panthera leo",292:"tiger, Panthera tigris",293:"cheetah, chetah, Acinonyx jubatus",294:"brown bear, bruin, Ursus arctos",295:"American black bear, black bear, Ursus americanus, Euarctos americanus",296:"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",297:"sloth bear, Melursus ursinus, Ursus ursinus",298:"mongoose",299:"meerkat, mierkat",300:"tiger beetle",301:"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",302:"ground beetle, carabid beetle",303:"long-horned beetle, longicorn, longicorn beetle",304:"leaf beetle, chrysomelid",305:"dung beetle",306:"rhinoceros beetle",307:"weevil",308:"fly",309:"bee",310:"ant, emmet, pismire",311:"grasshopper, hopper",312:"cricket",313:"walking stick, walkingstick, stick insect",314:"cockroach, roach",315:"mantis, mantid",316:"cicada, cicala",317:"leafhopper",318:"lacewing, lacewing fly",319:"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",320:"damselfly",321:"admiral",322:"ringlet, ringlet butterfly",323:"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",324:"cabbage butterfly",325:"sulphur butterfly, sulfur butterfly",326:"lycaenid, lycaenid butterfly",327:"starfish, sea star",328:"sea urchin",329:"sea cucumber, holothurian",330:"wood rabbit, cottontail, cottontail rabbit",331:"hare",332:"Angora, Angora rabbit",333:"hamster",334:"porcupine, hedgehog",335:"fox squirrel, eastern fox squirrel, Sciurus niger",336:"marmot",337:"beaver",338:"guinea pig, Cavia cobaya",339:"sorrel",340:"zebra",341:"hog, pig, grunter, squealer, Sus scrofa",342:"wild boar, boar, Sus scrofa",343:"warthog",344:"hippopotamus, hippo, river horse, Hippopotamus amphibius",345:"ox",346:"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",347:"bison",348:"ram, tup",349:"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",350:"ibex, Capra ibex",351:"hartebeest",352:"impala, Aepyceros melampus",353:"gazelle",354:"Arabian camel, dromedary, Camelus dromedarius",355:"llama",356:"weasel",357:"mink",358:"polecat, fitch, foulmart, foumart, Mustela putorius",359:"black-footed ferret, ferret, Mustela nigripes",360:"otter",361:"skunk, polecat, wood pussy",362:"badger",363:"armadillo",364:"three-toed sloth, ai, Bradypus tridactylus",365:"orangutan, orang, orangutang, Pongo pygmaeus",366:"gorilla, Gorilla gorilla",367:"chimpanzee, chimp, Pan troglodytes",368:"gibbon, Hylobates lar",369:"siamang, Hylobates syndactylus, Symphalangus syndactylus",370:"guenon, guenon monkey",371:"patas, hussar monkey, Erythrocebus patas",372:"baboon",373:"macaque",374:"langur",375:"colobus, colobus monkey",376:"proboscis monkey, Nasalis larvatus",377:"marmoset",378:"capuchin, ringtail, Cebus capucinus",379:"howler monkey, howler",380:"titi, titi monkey",381:"spider monkey, Ateles geoffroyi",382:"squirrel monkey, Saimiri sciureus",383:"Madagascar cat, ring-tailed lemur, Lemur catta",384:"indri, indris, Indri indri, Indri brevicaudatus",385:"Indian elephant, Elephas maximus",386:"African elephant, Loxodonta africana",387:"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",388:"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",389:"barracouta, snoek",390:"eel",391:"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",392:"rock beauty, Holocanthus tricolor",393:"anemone fish",394:"sturgeon",395:"gar, garfish, garpike, billfish, Lepisosteus osseus",396:"lionfish",397:"puffer, pufferfish, blowfish, globefish",398:"abacus",399:"abaya",400:"academic gown, academic robe, judge's robe",401:"accordion, piano accordion, squeeze box",402:"acoustic guitar",403:"aircraft carrier, carrier, flattop, attack aircraft carrier",404:"airliner",405:"airship, dirigible",406:"altar",407:"ambulance",408:"amphibian, amphibious vehicle",409:"analog clock",410:"apiary, bee house",411:"apron",412:"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",413:"assault rifle, assault gun",414:"backpack, back pack, knapsack, packsack, rucksack, haversack",415:"bakery, bakeshop, bakehouse",416:"balance beam, beam",417:"balloon",418:"ballpoint, ballpoint pen, ballpen, Biro",419:"Band Aid",420:"banjo",421:"bannister, banister, balustrade, balusters, handrail",422:"barbell",423:"barber chair",424:"barbershop",425:"barn",426:"barometer",427:"barrel, cask",428:"barrow, garden cart, lawn cart, wheelbarrow",429:"baseball",430:"basketball",431:"bassinet",432:"bassoon",433:"bathing cap, swimming cap",434:"bath towel",435:"bathtub, bathing tub, bath, tub",436:"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",437:"beacon, lighthouse, beacon light, pharos",438:"beaker",439:"bearskin, busby, shako",440:"beer bottle",441:"beer glass",442:"bell cote, bell cot",443:"bib",444:"bicycle-built-for-two, tandem bicycle, tandem",445:"bikini, two-piece",446:"binder, ring-binder",447:"binoculars, field glasses, opera glasses",448:"birdhouse",449:"boathouse",450:"bobsled, bobsleigh, bob",451:"bolo tie, bolo, bola tie, bola",452:"bonnet, poke bonnet",453:"bookcase",454:"bookshop, bookstore, bookstall",455:"bottlecap",456:"bow",457:"bow tie, bow-tie, bowtie",458:"brass, memorial tablet, plaque",459:"brassiere, bra, bandeau",460:"breakwater, groin, groyne, mole, bulwark, seawall, jetty",461:"breastplate, aegis, egis",462:"broom",463:"bucket, pail",464:"buckle",465:"bulletproof vest",466:"bullet train, bullet",467:"butcher shop, meat market",468:"cab, hack, taxi, taxicab",469:"caldron, cauldron",470:"candle, taper, wax light",471:"cannon",472:"canoe",473:"can opener, tin opener",474:"cardigan",475:"car mirror",476:"carousel, carrousel, merry-go-round, roundabout, whirligig",477:"carpenter's kit, tool kit",478:"carton",479:"car wheel",480:"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",481:"cassette",482:"cassette player",483:"castle",484:"catamaran",485:"CD player",486:"cello, violoncello",487:"cellular telephone, cellular phone, cellphone, cell, mobile phone",488:"chain",489:"chainlink fence",490:"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",491:"chain saw, chainsaw",492:"chest",493:"chiffonier, commode",494:"chime, bell, gong",495:"china cabinet, china closet",496:"Christmas stocking",497:"church, church building",498:"cinema, movie theater, movie theatre, movie house, picture palace",499:"cleaver, meat cleaver, chopper",500:"cliff dwelling",501:"cloak",502:"clog, geta, patten, sabot",503:"cocktail shaker",504:"coffee mug",505:"coffeepot",506:"coil, spiral, volute, whorl, helix",507:"combination lock",508:"computer keyboard, keypad",509:"confectionery, confectionary, candy store",510:"container ship, containership, container vessel",511:"convertible",512:"corkscrew, bottle screw",513:"cornet, horn, trumpet, trump",514:"cowboy boot",515:"cowboy hat, ten-gallon hat",516:"cradle",517:"crane",518:"crash helmet",519:"crate",520:"crib, cot",521:"Crock Pot",522:"croquet ball",523:"crutch",524:"cuirass",525:"dam, dike, dyke",526:"desk",527:"desktop computer",528:"dial telephone, dial phone",529:"diaper, nappy, napkin",530:"digital clock",531:"digital watch",532:"dining table, board",533:"dishrag, dishcloth",534:"dishwasher, dish washer, dishwashing machine",535:"disk brake, disc brake",536:"dock, dockage, docking facility",537:"dogsled, dog sled, dog sleigh",538:"dome",539:"doormat, welcome mat",540:"drilling platform, offshore rig",541:"drum, membranophone, tympan",542:"drumstick",543:"dumbbell",544:"Dutch oven",545:"electric fan, blower",546:"electric guitar",547:"electric locomotive",548:"entertainment center",549:"envelope",550:"espresso maker",551:"face powder",552:"feather boa, boa",553:"file, file cabinet, filing cabinet",554:"fireboat",555:"fire engine, fire truck",556:"fire screen, fireguard",557:"flagpole, flagstaff",558:"flute, transverse flute",559:"folding chair",560:"football helmet",561:"forklift",562:"fountain",563:"fountain pen",564:"four-poster",565:"freight car",566:"French horn, horn",567:"frying pan, frypan, skillet",568:"fur coat",569:"garbage truck, dustcart",570:"gasmask, respirator, gas helmet",571:"gas pump, gasoline pump, petrol pump, island dispenser",572:"goblet",573:"go-kart",574:"golf ball",575:"golfcart, golf cart",576:"gondola",577:"gong, tam-tam",578:"gown",579:"grand piano, grand",580:"greenhouse, nursery, glasshouse",581:"grille, radiator grille",582:"grocery store, grocery, food market, market",583:"guillotine",584:"hair slide",585:"hair spray",586:"half track",587:"hammer",588:"hamper",589:"hand blower, blow dryer, blow drier, hair dryer, hair drier",590:"hand-held computer, hand-held microcomputer",591:"handkerchief, hankie, hanky, hankey",592:"hard disc, hard disk, fixed disk",593:"harmonica, mouth organ, harp, mouth harp",594:"harp",595:"harvester, reaper",596:"hatchet",597:"holster",598:"home theater, home theatre",599:"honeycomb",600:"hook, claw",601:"hoopskirt, crinoline",602:"horizontal bar, high bar",603:"horse cart, horse-cart",604:"hourglass",605:"iPod",606:"iron, smoothing iron",607:"jack-o'-lantern",608:"jean, blue jean, denim",609:"jeep, landrover",610:"jersey, T-shirt, tee shirt",611:"jigsaw puzzle",612:"jinrikisha, ricksha, rickshaw",613:"joystick",614:"kimono",615:"knee pad",616:"knot",617:"lab coat, laboratory coat",618:"ladle",619:"lampshade, lamp shade",620:"laptop, laptop computer",621:"lawn mower, mower",622:"lens cap, lens cover",623:"letter opener, paper knife, paperknife",624:"library",625:"lifeboat",626:"lighter, light, igniter, ignitor",627:"limousine, limo",628:"liner, ocean liner",629:"lipstick, lip rouge",630:"Loafer",631:"lotion",632:"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",633:"loupe, jeweler's loupe",634:"lumbermill, sawmill",635:"magnetic compass",636:"mailbag, postbag",637:"mailbox, letter box",638:"maillot",639:"maillot, tank suit",640:"manhole cover",641:"maraca",642:"marimba, xylophone",643:"mask",644:"matchstick",645:"maypole",646:"maze, labyrinth",647:"measuring cup",648:"medicine chest, medicine cabinet",649:"megalith, megalithic structure",650:"microphone, mike",651:"microwave, microwave oven",652:"military uniform",653:"milk can",654:"minibus",655:"miniskirt, mini",656:"minivan",657:"missile",658:"mitten",659:"mixing bowl",660:"mobile home, manufactured home",661:"Model T",662:"modem",663:"monastery",664:"monitor",665:"moped",666:"mortar",667:"mortarboard",668:"mosque",669:"mosquito net",670:"motor scooter, scooter",671:"mountain bike, all-terrain bike, off-roader",672:"mountain tent",673:"mouse, computer mouse",674:"mousetrap",675:"moving van",676:"muzzle",677:"nail",678:"neck brace",679:"necklace",680:"nipple",681:"notebook, notebook computer",682:"obelisk",683:"oboe, hautboy, hautbois",684:"ocarina, sweet potato",685:"odometer, hodometer, mileometer, milometer",686:"oil filter",687:"organ, pipe organ",688:"oscilloscope, scope, cathode-ray oscilloscope, CRO",689:"overskirt",690:"oxcart",691:"oxygen mask",692:"packet",693:"paddle, boat paddle",694:"paddlewheel, paddle wheel",695:"padlock",696:"paintbrush",697:"pajama, pyjama, pj's, jammies",698:"palace",699:"panpipe, pandean pipe, syrinx",700:"paper towel",701:"parachute, chute",702:"parallel bars, bars",703:"park bench",704:"parking meter",705:"passenger car, coach, carriage",706:"patio, terrace",707:"pay-phone, pay-station",708:"pedestal, plinth, footstall",709:"pencil box, pencil case",710:"pencil sharpener",711:"perfume, essence",712:"Petri dish",713:"photocopier",714:"pick, plectrum, plectron",715:"pickelhaube",716:"picket fence, paling",717:"pickup, pickup truck",718:"pier",719:"piggy bank, penny bank",720:"pill bottle",721:"pillow",722:"ping-pong ball",723:"pinwheel",724:"pirate, pirate ship",725:"pitcher, ewer",726:"plane, carpenter's plane, woodworking plane",727:"planetarium",728:"plastic bag",729:"plate rack",730:"plow, plough",731:"plunger, plumber's helper",732:"Polaroid camera, Polaroid Land camera",733:"pole",734:"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",735:"poncho",736:"pool table, billiard table, snooker table",737:"pop bottle, soda bottle",738:"pot, flowerpot",739:"potter's wheel",740:"power drill",741:"prayer rug, prayer mat",742:"printer",743:"prison, prison house",744:"projectile, missile",745:"projector",746:"puck, hockey puck",747:"punching bag, punch bag, punching ball, punchball",748:"purse",749:"quill, quill pen",750:"quilt, comforter, comfort, puff",751:"racer, race car, racing car",752:"racket, racquet",753:"radiator",754:"radio, wireless",755:"radio telescope, radio reflector",756:"rain barrel",757:"recreational vehicle, RV, R.V.",758:"reel",759:"reflex camera",760:"refrigerator, icebox",761:"remote control, remote",762:"restaurant, eating house, eating place, eatery",763:"revolver, six-gun, six-shooter",764:"rifle",765:"rocking chair, rocker",766:"rotisserie",767:"rubber eraser, rubber, pencil eraser",768:"rugby ball",769:"rule, ruler",770:"running shoe",771:"safe",772:"safety pin",773:"saltshaker, salt shaker",774:"sandal",775:"sarong",776:"sax, saxophone",777:"scabbard",778:"scale, weighing machine",779:"school bus",780:"schooner",781:"scoreboard",782:"screen, CRT screen",783:"screw",784:"screwdriver",785:"seat belt, seatbelt",786:"sewing machine",787:"shield, buckler",788:"shoe shop, shoe-shop, shoe store",789:"shoji",790:"shopping basket",791:"shopping cart",792:"shovel",793:"shower cap",794:"shower curtain",795:"ski",796:"ski mask",797:"sleeping bag",798:"slide rule, slipstick",799:"sliding door",800:"slot, one-armed bandit",801:"snorkel",802:"snowmobile",803:"snowplow, snowplough",804:"soap dispenser",805:"soccer ball",806:"sock",807:"solar dish, solar collector, solar furnace",808:"sombrero",809:"soup bowl",810:"space bar",811:"space heater",812:"space shuttle",813:"spatula",814:"speedboat",815:"spider web, spider's web",816:"spindle",817:"sports car, sport car",818:"spotlight, spot",819:"stage",820:"steam locomotive",821:"steel arch bridge",822:"steel drum",823:"stethoscope",824:"stole",825:"stone wall",826:"stopwatch, stop watch",827:"stove",828:"strainer",829:"streetcar, tram, tramcar, trolley, trolley car",830:"stretcher",831:"studio couch, day bed",832:"stupa, tope",833:"submarine, pigboat, sub, U-boat",834:"suit, suit of clothes",835:"sundial",836:"sunglass",837:"sunglasses, dark glasses, shades",838:"sunscreen, sunblock, sun blocker",839:"suspension bridge",840:"swab, swob, mop",841:"sweatshirt",842:"swimming trunks, bathing trunks",843:"swing",844:"switch, electric switch, electrical switch",845:"syringe",846:"table lamp",847:"tank, army tank, armored combat vehicle, armoured combat vehicle",848:"tape player",849:"teapot",850:"teddy, teddy bear",851:"television, television system",852:"tennis ball",853:"thatch, thatched roof",854:"theater curtain, theatre curtain",855:"thimble",856:"thresher, thrasher, threshing machine",857:"throne",858:"tile roof",859:"toaster",860:"tobacco shop, tobacconist shop, tobacconist",861:"toilet seat",862:"torch",863:"totem pole",864:"tow truck, tow car, wrecker",865:"toyshop",866:"tractor",867:"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",868:"tray",869:"trench coat",870:"tricycle, trike, velocipede",871:"trimaran",872:"tripod",873:"triumphal arch",874:"trolleybus, trolley coach, trackless trolley",875:"trombone",876:"tub, vat",877:"turnstile",878:"typewriter keyboard",879:"umbrella",880:"unicycle, monocycle",881:"upright, upright piano",882:"vacuum, vacuum cleaner",883:"vase",884:"vault",885:"velvet",886:"vending machine",887:"vestment",888:"viaduct",889:"violin, fiddle",890:"volleyball",891:"waffle iron",892:"wall clock",893:"wallet, billfold, notecase, pocketbook",894:"wardrobe, closet, press",895:"warplane, military plane",896:"washbasin, handbasin, washbowl, lavabo, wash-hand basin",897:"washer, automatic washer, washing machine",898:"water bottle",899:"water jug",900:"water tower",901:"whiskey jug",902:"whistle",903:"wig",904:"window screen",905:"window shade",906:"Windsor tie",907:"wine bottle",908:"wing",909:"wok",910:"wooden spoon",911:"wool, woolen, woollen",912:"worm fence, snake fence, snake-rail fence, Virginia fence",913:"wreck",914:"yawl",915:"yurt",916:"web site, website, internet site, site",917:"comic book",918:"crossword puzzle, crossword",919:"street sign",920:"traffic light, traffic signal, stoplight",921:"book jacket, dust cover, dust jacket, dust wrapper",922:"menu",923:"plate",924:"guacamole",925:"consomme",926:"hot pot, hotpot",927:"trifle",928:"ice cream, icecream",929:"ice lolly, lolly, lollipop, popsicle",930:"French loaf",931:"bagel, beigel",932:"pretzel",933:"cheeseburger",934:"hotdog, hot dog, red hot",935:"mashed potato",936:"head cabbage",937:"broccoli",938:"cauliflower",939:"zucchini, courgette",940:"spaghetti squash",941:"acorn squash",942:"butternut squash",943:"cucumber, cuke",944:"artichoke, globe artichoke",945:"bell pepper",946:"cardoon",947:"mushroom",948:"Granny Smith",949:"strawberry",950:"orange",951:"lemon",952:"fig",953:"pineapple, ananas",954:"banana",955:"jackfruit, jak, jack",956:"custard apple",957:"pomegranate",958:"hay",959:"carbonara",960:"chocolate sauce, chocolate syrup",961:"dough",962:"meat loaf, meatloaf",963:"pizza, pizza pie",964:"potpie",965:"burrito",966:"red wine",967:"espresso",968:"cup",969:"eggnog",970:"alp",971:"bubble",972:"cliff, drop, drop-off",973:"coral reef",974:"geyser",975:"lakeside, lakeshore",976:"promontory, headland, head, foreland",977:"sandbar, sand bar",978:"seashore, coast, seacoast, sea-coast",979:"valley, vale",980:"volcano",981:"ballplayer, baseball player",982:"groom, bridegroom",983:"scuba diver",984:"rapeseed",985:"daisy",986:"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",987:"corn",988:"acorn",989:"hip, rose hip, rosehip",990:"buckeye, horse chestnut, conker",991:"coral fungus",992:"agaric",993:"gyromitra",994:"stinkhorn, carrion fungus",995:"earthstar",996:"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",997:"bolete",998:"ear, spike, capitulum",999:"toilet tissue, toilet paper, bathroom tissue"},BA=224,zA={"1.00":"module_apply_default/MobilenetV1/Logits/global_pool","2.00":"module_apply_default/MobilenetV2/Logits/AvgPool"},PA={"1.00":{.25:{url:"https://tfhub.dev/google/imagenet/mobilenet_v1_025_224/classification/1",inputRange:[0,1]},"0.50":{url:"https://tfhub.dev/google/imagenet/mobilenet_v1_050_224/classification/1",inputRange:[0,1]},.75:{url:"https://tfhub.dev/google/imagenet/mobilenet_v1_075_224/classification/1",inputRange:[0,1]},"1.00":{url:"https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/classification/1",inputRange:[0,1]}},"2.00":{"0.50":{url:"https://tfhub.dev/google/imagenet/mobilenet_v2_050_224/classification/2",inputRange:[0,1]},.75:{url:"https://tfhub.dev/google/imagenet/mobilenet_v2_075_224/classification/2",inputRange:[0,1]},"1.00":{url:"https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/2",inputRange:[0,1]}}};function LA(e){return void 0===e&&(e={version:1,alpha:1}),IA(this,void 0,void 0,(function(){var t,n,r,i,a,o;return FA(this,(function(s){switch(s.label){case 0:if(null==OA)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.");if(n=e.version.toFixed(2),r=e.alpha?e.alpha.toFixed(2):"",i=-1,a=1,null==e.modelUrl){if(!(n in PA))throw new Error("Invalid version of MobileNet. Valid versions are: "+Object.keys(PA));if(!(r in PA[n]))throw new Error("MobileNet constructed with invalid alpha "+e.alpha+". Valid multipliers for this version are: "+Object.keys(PA[n])+".");t=PA[n][r].inputRange,i=t[0],a=t[1]}return[4,(o=new jA(n,r,e.modelUrl,i,a)).load()];case 1:return s.sent(),[2,o]}}))}))}var jA=function(){function e(e,t,n,r,i){void 0===r&&(r=-1),void 0===i&&(i=1),this.version=e,this.alpha=t,this.modelUrl=n,this.inputMin=r,this.inputMax=i,this.inputRange=i-r}return e.prototype.load=function(){return IA(this,void 0,void 0,(function(){var e,t,n,r,i=this;return FA(this,(function(a){switch(a.label){case 0:return this.modelUrl?(e=this,[4,(0,TA.loadGraphModel)(this.modelUrl)]):[3,2];case 1:return e.model=a.sent(),[3,4];case 2:return t=PA[this.version][this.alpha].url,n=this,[4,(0,TA.loadGraphModel)(t,{fromTFHub:!0})];case 3:n.model=a.sent(),a.label=4;case 4:return[4,(r=(0,OA.tidy)((function(){return i.model.predict((0,OA.zeros)([1,BA,BA,3]))}))).data()];case 5:return a.sent(),r.dispose(),[2]}}))}))},e.prototype.infer=function(e,t){var n=this;return void 0===t&&(t=!1),(0,OA.tidy)((function(){e instanceof OA.Tensor||(e=OA.browser.fromPixels(e));var r=e.toFloat().mul(n.inputRange).add(n.inputMin),i=r;e.shape[0]===BA&&e.shape[1]===BA||(i=OA.image.resizeBilinear(r,[BA,BA],!0));var a,o=i.reshape([-1,BA,BA,3]);if(t){var s=zA[n.version];a=n.model.execute(o,s).squeeze([1,2])}else a=n.model.predict(o).slice([0,1],[-1,1e3]);return a}))},e.prototype.classify=function(e,t){return void 0===t&&(t=3),IA(this,void 0,void 0,(function(){var n,r;return FA(this,(function(i){switch(i.label){case 0:return[4,UA(n=this.infer(e),t)];case 1:return r=i.sent(),n.dispose(),[2,r]}}))}))},e}();function UA(e,t){return IA(this,void 0,void 0,(function(){var n,r,i,a,o,s,u;return FA(this,(function(c){switch(c.label){case 0:return[4,(n=e.softmax()).data()];case 1:for(r=c.sent(),n.dispose(),i=[],u=0;u<r.length;u++)i.push({value:r[u],index:u});for(i.sort((function(e,t){return t.value-e.value})),a=new Float32Array(t),o=new Int32Array(t),u=0;u<t;u++)a[u]=i[u].value,o[u]=i[u].index;for(s=[],u=0;u<o.length;u++)s.push({className:RA[o[u]],probability:a[u]});return[2,s]}}))}))}function qA(e,t,n){const r=[];for(let t=0;t<e.length;t+=1)r.push({value:e[t],index:t});r.sort(((e,t)=>t.value-e.value));const i=new Float32Array(t),a=new Int32Array(t);for(let e=0;e<t;e+=1)i[e]=r[e].value,a[e]=r[e].index;const o=[];for(let e=0;e<a.length;e+=1)o.push({className:n[a[e]],probability:i[e]});return o}async function WA(e,t,n){return qA(await e.data(),t,n)}const VA=["kit fox","English setter","Siberian husky","Australian terrier","English springer","grey whale","lesser panda","Egyptian cat","ibex","Persian cat","cougar","gazelle","porcupine","sea lion","malamute","badger","Great Dane","Walker hound","Welsh springer spaniel","whippet","Scottish deerhound","killer whale","mink","African elephant","Weimaraner","soft-coated wheaten terrier","Dandie Dinmont","red wolf","Old English 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HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?n=m.browser.fromPixels(e):"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData)&&(n=m.browser.fromPixels(e.elt));const r=n.toFloat().div(m.scalar(255));let i=r;if(r.shape[0]!==t||r.shape[1]!==t){const e=!0;i=m.image.resizeBilinear(r,[t,t],e)}return i.reshape([1,t,t,3])}(e,this.imgSize),n=this.model.predict(t);return m.softmax(n)})),r=await WA(n,t,VA);return n.dispose(),r}}async function HA(e){if("reference"!==e&&"tiny"!==e)throw new Error("Please select a version: darknet-reference or darknet-tiny");const t=new $A(e);return await t.load(),t}const GA=["flashlight","belt","mushroom","pond","strawberry","pineapple","sun","cow","ear","bush","pliers","watermelon","apple","baseball","feather","shoe","leaf","lollipop","crown","ocean","horse","mountain","mosquito","mug","hospital","saw","castle","angel","underwear","traffic_light","cruise_ship","marker","blueberry","flamingo","face","hockey_stick","bucket","campfire","asparagus","skateboard","door","suitcase","skull","cloud","paint_can","hockey_puck","steak","house_plant","sleeping_bag","bench","snowman","arm","crayon","fan","shovel","leg","washing_machine","harp","toothbrush","tree","bear","rake","megaphone","knee","guitar","calculator","hurricane","grapes","paintbrush","couch","nose","square","wristwatch","penguin","bridge","octagon","submarine","screwdriver","rollerskates","ladder","wine_bottle","cake","bracelet","broom","yoga","finger","fish","line","truck","snake","bus","stitches","snorkel","shorts","bowtie","pickup_truck","tooth","snail","foot","crab","school_bus","train","dresser","sock","tractor","map","hedgehog","coffee_cup","computer","matches","beard","frog","crocodile","bathtub","rain","moon","bee","knife","boomerang","lighthouse","chandelier","jail","pool","stethoscope","frying_pan","cell_phone","binoculars","purse","lantern","birthday_cake","clarinet","palm_tree","aircraft_carrier","vase","eraser","shark","skyscraper","bicycle","sink","teapot","circle","tornado","bird","stereo","mouth","key","hot_dog","spoon","laptop","cup","bottlecap","The_Great_Wall_of_China","The_Mona_Lisa","smiley_face","waterslide","eyeglasses","ceiling_fan","lobster","moustache","carrot","garden","police_car","postcard","necklace","helmet","blackberry","beach","golf_club","car","panda","alarm_clock","t-shirt","dog","bread","wine_glass","lighter","flower","bandage","drill","butterfly","swan","owl","raccoon","squiggle","calendar","giraffe","elephant","trumpet","rabbit","trombone","sheep","onion","church","flip_flops","spreadsheet","pear","clock","roller_coaster","parachute","kangaroo","duck","remote_control","compass","monkey","rainbow","tennis_racquet","lion","pencil","string_bean","oven","star","cat","pizza","soccer_ball","syringe","flying_saucer","eye","cookie","floor_lamp","mouse","toilet","toaster","The_Eiffel_Tower","airplane","stove","cello","stop_sign","tent","diving_board","light_bulb","hammer","scorpion","headphones","basket","spider","paper_clip","sweater","ice_cream","envelope","sea_turtle","donut","hat","hourglass","broccoli","jacket","backpack","book","lightning","drums","snowflake","radio","banana","camel","canoe","toothpaste","chair","picture_frame","parrot","sandwich","lipstick","pants","violin","brain","power_outlet","triangle","hamburger","dragon","bulldozer","cannon","dolphin","zebra","animal_migration","camouflage","scissors","basketball","elbow","umbrella","windmill","table","rifle","hexagon","potato","anvil","sword","peanut","axe","television","rhinoceros","baseball_bat","speedboat","sailboat","zigzag","garden_hose","river","house","pillow","ant","tiger","stairs","cooler","see_saw","piano","fireplace","popsicle","dumbbell","mailbox","barn","hot_tub","teddy-bear","fork","dishwasher","peas","hot_air_balloon","keyboard","microwave","wheel","fire_hydrant","van","camera","whale","candle","octopus","pig","swing_set","helicopter","saxophone","passport","bat","ambulance","diamond","goatee","fence","grass","mermaid","motorbike","microphone","toe","cactus","nail","telephone","hand","squirrel","streetlight","bed","firetruck"];class KA{constructor(){this.imgSize=28}async load(){this.model=await m.loadLayersModel("https://cdn.jsdelivr.net/gh/ml5js/ml5-data-and-models@master/models/doodlenet/model.json");const e=m.tidy((()=>this.model.predict(m.zeros([1,this.imgSize,this.imgSize,1]))));await e.data(),e.dispose()}async classify(e,t=10){const n=m.tidy((()=>{const t=function(e,t){let n;e instanceof m.Tensor?n=e:e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?n=m.browser.fromPixels(e):"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData)&&(n=m.browser.fromPixels(e.elt));const r=m.scalar(1).sub(n.toFloat().div(m.scalar(255)));let i=r;r.shape[0]===t&&r.shape[1]===t||(i=m.image.resizeBilinear(r,[t,t]));const[a,o,s]=m.split(i,3,3);return a.add(o).add(s).div(m.scalar(3)).floor().reshape([1,t,t,1])}(e,this.imgSize);return this.model.predict(t)})),r=await WA(n,t,GA);return n.dispose(),r}}async function XA(){const e=new KA;return await e.load(),e}const YA=new class{constructor(){this.m_p5Instance=window}setP5Instance(e){this.m_p5Instance=e}get p5Instance(){return void 0!==this.m_p5Instance&&"function"==typeof this.m_p5Instance.loadImage?this.m_p5Instance:void 0!==this.m_p5Instance.p5&&void 0!==this.m_p5Instance.p5.Image&&"function"==typeof this.m_p5Instance.p5.Image?this.m_p5Instance.p5:void 0}checkP5(){return!!this.p5Instance}getBlob(e){return new Promise((t=>{e.toBlob((e=>{t(e)}))}))}loadAsync(e){return new Promise((t=>{this.p5Instance.loadImage(e,(e=>{t(e)}))}))}async rawToBlob(e,t,n){const r=Array.from(e),i=document.createElement("canvas"),a=i.getContext("2d");i.width=t,i.height=n;const o=a.createImageData(t,n),{data:s}=o;for(let e=0;e<t*n*4;e+=1)s[e]=r[e];return a.putImageData(o,0,0),await this.getBlob(i)}async blobToP5Image(e){return this.checkP5()?await this.loadAsync(URL.createObjectURL(e)):null}},JA=YA,ZA=(e,t,n=(()=>{}))=>{const r=e,i=document.createElement("video");return r.onplay=()=>{const e=r.captureStream();i.srcObject=e,i.width=t,i.height=t,i.autoplay=!0,i.playsinline=!0,i.muted=!0,n()},i},QA=e=>{const[t,n]=e.shape,r=e.dataSync(),i=document.createElement("canvas");i.width=n,i.height=t;const a=i.getContext("2d"),o=a.getImageData(0,0,i.width,i.height);for(let e=0;e<n*t;e+=1){const t=4*e,n=3*e;o.data[t+0]=Math.floor(256*r[n+0]),o.data[t+1]=Math.floor(256*r[n+1]),o.data[t+2]=Math.floor(256*r[n+2]),o.data[t+3]=255}a.putImageData(o,0,0);const s=i.toDataURL(),u=document.createElement("img");return u.src=s,u.style.width=n,u.style.height=t,e.dispose(),u},ek=e=>{const t=Math.min(e.shape[0],e.shape[1]),n=e.shape[0]/2-t/2,r=e.shape[1]/2-t/2;return e.slice([n,r,0],[t,t,3])},tk=e=>{let t,n,r;if(r=e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof HTMLVideoElement||e instanceof ImageData?e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof HTMLVideoElement||e.elt instanceof ImageData)?e.elt:"object"==typeof e&&e.canvas instanceof HTMLCanvasElement?e.canvas:e,HTMLVideoElement,t=r.width,n=r.height,JA.checkP5()){const r=JA.p5Instance.createGraphics(t,n);return r.push(),r.translate(t,0),r.scale(-1,1),r.image(e,0,0,t,n),r.pop(),r}const i=document.createElement("canvas");i.width=t,i.height=n;const a=i.getContext("2d");return a.drawImage(r,0,0,t,n),a.translate(t,0),a.scale(-1,1),a.drawImage(i,-1*t,0,t,n),i};function nk(e,t=null){return m.tidy((()=>{let n=m.browser.fromPixels(e);return t&&(n=m.image.resizeBilinear(n,t)),ek(n).expandDims(0).toFloat().div(m.scalar(127)).sub(m.scalar(1))}))}function rk(e){return e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData}function ik(e){let t,n,r;r=e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof HTMLVideoElement||e instanceof ImageData?e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof HTMLVideoElement||e.elt instanceof ImageData)?e.elt:"object"==typeof e&&e.canvas instanceof HTMLCanvasElement?e.canvas:e,HTMLVideoElement,t=r.width,n=r.height;const i=document.createElement("canvas");i.width=t,i.height=n;const a=i.getContext("2d");a.drawImage(r,0,0,t,n);const o=a.getImageData(0,0,t,n);return Array.from(o.data)}const ak=2,ok=1,sk=3,uk=["mobilenet","darknet","darknet-tiny","doodlenet"];class ck{constructor(e,t,n,r){if(this.video=t,this.model=null,this.mapStringToIndex=[],"string"==typeof e)if(uk.includes(e))switch(this.modelName=e,this.modelUrl=null,this.modelName){case"mobilenet":this.modelToUse=a,this.version=n.version||ak,this.alpha=n.alpha||ok,this.topk=n.topk||sk;break;case"darknet":this.version="reference",this.modelToUse=o;break;case"darknet-tiny":this.version="tiny",this.modelToUse=o;break;case"doodlenet":this.modelToUse=s;break;default:this.modelToUse=null}else this.modelUrl=e;this.ready=kA(this.loadModel(this.modelUrl),r)}async loadModel(e){return this.model=e?await this.loadModelFrom(e):await this.modelToUse.load({version:this.version,alpha:this.alpha}),this}async loadModelFrom(e=null){try{let t;if(null!==e&&(t=(await MA().get(e)).data),t.ml5Specs&&(this.mapStringToIndex=t.ml5Specs.mapStringToIndex),0===this.mapStringToIndex.length){const t=e.split("/"),n=`${t.slice(0,t.length-1).join("/")}/metadata.json`,r=await MA().get(n).catch((e=>{console.log("Tried to fetch metadata.json, but it seems to be missing.",e)}));if(r){const e=r.data;e.labels&&(this.mapStringToIndex=e.labels)}}return this.model=await m.loadLayersModel(e),this.model}catch(e){return console.error(e),e}}async classifyInternal(e,t){if(await this.ready,await m.nextFrame(),e instanceof HTMLVideoElement&&0===e.readyState){const t=e;await new Promise((e=>{t.onloadeddata=()=>e()}))}this.video&&0===this.video.readyState&&await new Promise((e=>{this.video.onloadeddata=()=>e()}));const n=[224,224];if(this.modelUrl){await m.nextFrame();const t=m.tidy((()=>{const t=nk(e,n),r=this.model.predict(t);return Array.from(r.as1D().dataSync())})),r=await t.map(((e,t)=>({label:this.mapStringToIndex.length>0&&this.mapStringToIndex[t]?this.mapStringToIndex[t]:t,confidence:e}))).sort(((e,t)=>t.confidence-e.confidence));return r}const r=nk(e,n),i=this.model.classify(r,t).then((e=>e.map((e=>({label:e.className,confidence:e.probability})))));return r.dispose(),i}async classify(e,t=null,n){let r,i=this.video,a=this.topk;if("function"==typeof e)i=this.video,r=e;else if("number"==typeof e)i=this.video,a=e;else if(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData)i=e;else if("object"==typeof e&&(e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLImageElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData))i=e.elt;else if("object"==typeof e&&e.canvas instanceof HTMLCanvasElement)i=e.canvas;else if(!(this.video instanceof HTMLVideoElement))throw new Error("No input image provided. If you want to classify a video, pass the video element in the constructor. ");return"number"==typeof t?a=t:"function"==typeof t&&(r=t),"function"==typeof n&&(r=n),kA(this.classifyInternal(i,a),r)}async predict(e,t,n){return this.classify(e,t||null,n)}}var lk=function(e,t){return(lk=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])})(e,t)},fk=function(){return(fk=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)};function pk(e,t,n,r){return new(n||(n=Promise))((function(i,a){function o(e){try{u(r.next(e))}catch(e){a(e)}}function s(e){try{u(r.throw(e))}catch(e){a(e)}}function u(e){e.done?i(e.value):new n((function(t){t(e.value)})).then(o,s)}u((r=r.apply(e,t||[])).next())}))}function hk(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}function dk(e){var t="function"==typeof Symbol&&e[Symbol.iterator],n=0;return t?t.call(e):{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}}}function mk(e,t){var n="function"==typeof Symbol&&e[Symbol.iterator];if(!n)return e;var r,i,a=n.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(r=a.next()).done;)o.push(r.value)}catch(e){i={error:e}}finally{try{r&&!r.done&&(n=a.return)&&n.call(a)}finally{if(i)throw i.error}}return o}function gk(){for(var e=[],t=0;t<arguments.length;t++)e=e.concat(mk(arguments[t]));return e}function vk(e){return pk(this,void 0,void 0,(function(){return hk(this,(function(t){return[2,new Promise((function(t,r){0===e.indexOf("http://")||0===e.indexOf("https://")?fetch(e).then((function(e){e.json().then((function(e){return t(e)}))})):0===e.indexOf("file://")?n(9127).readFile(e.slice("file://".length),{encoding:"utf-8"},(function(e,n){return t(JSON.parse(n))})):r(new Error("Unsupported URL scheme in metadata URL: "+e+". Supported schemes are: http://, https://, and (node.js-only) file://"))}))]}))}))}var yk=null;function bk(e){return null==yk&&(yk=(0,m.backend)().epsilon()),(0,m.tidy)((function(){var t=(0,m.moments)(e),n=t.mean,r=t.variance;return e.sub(n).div(r.sqrt().add(yk))}))}function xk(e){return pk(this,void 0,void 0,(function(){return hk(this,(function(t){switch(t.label){case 0:return[4,navigator.mediaDevices.getUserMedia({audio:null==e||e,video:!1})];case 1:return[2,t.sent()]}}))}))}var wk=function(){function e(e){var t=this;if(null==e)throw new Error("Required configuration object is missing for BrowserFftFeatureExtractor constructor");if(null==e.spectrogramCallback)throw new Error("spectrogramCallback cannot be null or undefined");if(!(e.numFramesPerSpectrogram>0))throw new Error("Invalid value in numFramesPerSpectrogram: "+e.numFramesPerSpectrogram);if(e.suppressionTimeMillis<0)throw new Error("Expected suppressionTimeMillis to be >= 0, but got "+e.suppressionTimeMillis);if(this.suppressionTimeMillis=e.suppressionTimeMillis,this.spectrogramCallback=e.spectrogramCallback,this.numFrames=e.numFramesPerSpectrogram,this.sampleRateHz=e.sampleRateHz||44100,this.fftSize=e.fftSize||1024,this.frameDurationMillis=this.fftSize/this.sampleRateHz*1e3,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.overlapFactor=e.overlapFactor,this.includeRawAudio=e.includeRawAudio,m.util.assert(this.overlapFactor>=0&&this.overlapFactor<1,(function(){return"Expected overlapFactor to be >= 0 and < 1, but got "+t.overlapFactor})),this.columnTruncateLength>this.fftSize)throw new Error("columnTruncateLength "+this.columnTruncateLength+" exceeds fftSize ("+this.fftSize+").");this.audioContextConstructor=window.AudioContext||window.webkitAudioContext}return e.prototype.start=function(e){return pk(this,void 0,void 0,(function(){var t,n,r;return hk(this,(function(i){switch(i.label){case 0:if(null!=this.frameIntervalTask)throw new Error("Cannot start already-started BrowserFftFeatureExtractor");return t=this,[4,xk(e)];case 1:return t.stream=i.sent(),this.audioContext=new this.audioContextConstructor,this.audioContext.sampleRate!==this.sampleRateHz&&console.warn("Mismatch in sampling rate: Expected: "+this.sampleRateHz+"; Actual: "+this.audioContext.sampleRate),n=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=0,n.connect(this.analyser),this.freqDataQueue=[],this.freqData=new Float32Array(this.fftSize),this.includeRawAudio&&(this.timeDataQueue=[],this.timeData=new Float32Array(this.fftSize)),r=Math.max(1,Math.round(this.numFrames*(1-this.overlapFactor))),this.tracker=new Sk(r,Math.round(this.suppressionTimeMillis/this.frameDurationMillis)),this.frameIntervalTask=setInterval(this.onAudioFrame.bind(this),this.fftSize/this.sampleRateHz*1e3),[2]}}))}))},e.prototype.onAudioFrame=function(){return pk(this,void 0,void 0,(function(){var e,t,n,r;return hk(this,(function(i){switch(i.label){case 0:return this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-1/0?[2]:(this.freqDataQueue.push(this.freqData.slice(0,this.columnTruncateLength)),this.includeRawAudio&&(this.analyser.getFloatTimeDomainData(this.timeData),this.timeDataQueue.push(this.timeData.slice())),this.freqDataQueue.length>this.numFrames&&this.freqDataQueue.shift(),this.tracker.tick()?(e=Ek(this.freqDataQueue),t=Ck(e,[1,this.numFrames,this.columnTruncateLength,1]),n=void 0,this.includeRawAudio&&(r=Ek(this.timeDataQueue),n=Ck(r,[1,this.numFrames*this.fftSize])),[4,this.spectrogramCallback(t,n)]):[3,2]);case 1:i.sent()&&this.tracker.suppress(),(0,m.dispose)([t,n]),i.label=2;case 2:return[2]}}))}))},e.prototype.stop=function(){return pk(this,void 0,void 0,(function(){return hk(this,(function(e){if(null==this.frameIntervalTask)throw new Error("Cannot stop because there is no ongoing streaming activity.");return clearInterval(this.frameIntervalTask),this.frameIntervalTask=null,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop(),[2]}))}))},e.prototype.setConfig=function(e){throw new Error("setConfig() is not implemented for BrowserFftFeatureExtractor.")},e.prototype.getFeatures=function(){throw new Error("getFeatures() is not implemented for BrowserFftFeatureExtractor. Use the spectrogramCallback field of the constructor config instead.")},e}();function Ek(e){var t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((function(e,r){return n.set(e,r*t)})),n}function Ck(e,t){var n=new Float32Array(m.util.sizeFromShape(t));return n.set(e,n.length-e.length),(0,m.tensor)(n,t)}var Sk=function(){function e(e,t){var n=this;this.period=e,this.suppressionTime=null==t?0:t,this.counter=0,m.util.assert(this.period>0,(function(){return"Expected period to be positive, but got "+n.period}))}return e.prototype.tick=function(){return this.counter++,this.counter%this.period==0&&(null==this.suppressionOnset||this.counter-this.suppressionOnset>this.suppressionTime)},e.prototype.suppress=function(){this.suppressionOnset=this.counter},e}();function Nk(e){var t=0;e.forEach((function(e){t+=e.byteLength}));var n=new Uint8Array(t),r=0;return e.forEach((function(e){n.set(new Uint8Array(e),r),r+=e.byteLength})),n.buffer}function Ak(e){if(null==e)throw new Error("Received null or undefind string");for(var t=unescape(encodeURIComponent(e)),n=new Uint8Array(t.length),r=0;r<t.length;++r)n[r]=t.charCodeAt(r);return n.buffer}function kk(e){if(null==e)throw new Error("Received null or undefind buffer");var t=new Uint8Array(e);return decodeURIComponent(escape(String.fromCharCode.apply(String,gk(t))))}var Dk="TFJSSCDS",_k="_background_noise_",Mk=function(){function e(e){if(this.examples={},this.label2Ids={},null!=e)for(var t=function(e){m.util.assert(null!=e,(function(){return"Received null or undefined buffer"}));var t=0,n=kk(e.slice(t,Dk.length));m.util.assert(n===Dk,(function(){return"Deserialization error: Invalid descriptor"})),t+=Dk.length,t+=4;var r=new Uint32Array(e,t,1),i=t+=4;t=i+r[0];var a=kk(e.slice(i,t));return{manifest:JSON.parse(a),data:e.slice(t)}}(e),n=0,r=0;r<t.manifest.length;++r){var i=t.manifest[r],a=i.spectrogramNumFrames*i.spectrogramFrameSize;null!=i.rawAudioNumSamples&&(a+=i.rawAudioNumSamples),a*=4,this.addExample(Ok({spec:i,data:t.data.slice(n,n+a)})),n+=a}}return e.prototype.addExample=function(e){m.util.assert(null!=e,(function(){return"Got null or undefined example"})),m.util.assert(null!=e.label&&e.label.length>0,(function(){return"Expected label to be a non-empty string, but got "+JSON.stringify(e.label)}));var t=function(){function e(){return Math.floor(65536*(1+Math.random())).toString(16).substring(1)}return e()+e()+"-"+e()+"-"+e()+"-"+e()+"-"+e()+e()+e()}();return this.examples[t]=e,e.label in this.label2Ids||(this.label2Ids[e.label]=[]),this.label2Ids[e.label].push(t),t},e.prototype.merge=function(e){var t,n,r,i;m.util.assert(e!==this,(function(){return"Cannot merge a dataset into itself"}));var a=e.getVocabulary();try{for(var o=dk(a),s=o.next();!s.done;s=o.next()){var u=s.value,c=e.getExamples(u);try{for(var l=dk(c),f=l.next();!f.done;f=l.next()){var p=f.value;this.addExample(p.example)}}catch(e){r={error:e}}finally{try{f&&!f.done&&(i=l.return)&&i.call(l)}finally{if(r)throw r.error}}}}catch(e){t={error:e}}finally{try{s&&!s.done&&(n=o.return)&&n.call(o)}finally{if(t)throw t.error}}},e.prototype.getExampleCounts=function(){var e={};for(var t in this.examples){var n=this.examples[t];n.label in e||(e[n.label]=0),e[n.label]++}return e},e.prototype.getExamples=function(e){var t=this;m.util.assert(null!=e,(function(){return"Expected label to be a string, but got "+JSON.stringify(e)})),m.util.assert(e in this.label2Ids,(function(){return'No example of label "'+e+'" exists in dataset'}));var n=[];return this.label2Ids[e].forEach((function(e){n.push({uid:e,example:t.examples[e]})})),n},e.prototype.getData=function(e,t){var n=this;m.util.assert(this.size()>0,(function(){return"Cannot get spectrograms as tensors because the dataset is empty"}));var r=this.getVocabulary();null!=e?m.util.assert(-1!==r.indexOf(e),(function(){return"Label "+e+" is not in the vocabulary ("+JSON.stringify(r)+")"})):m.util.assert(r.length>1,(function(){return"One-hot encoding of labels requires the vocabulary to have at least two words, but it has only "+r.length+" word."})),null==t&&(t={});var i,a,o=this.getSortedUniqueNumFrames();1===o.length?(i=null==t.numFrames?o[0]:t.numFrames,a=null==t.hopFrames?1:t.hopFrames):(i=t.numFrames,m.util.assert(null!=i&&Number.isInteger(i)&&i>0,(function(){return"There are "+o.length+" unique lengths among the "+n.size()+" examples of this Dataset, hence numFrames is required. But it is not provided."})),m.util.assert(i<=o[0],(function(){return"numFrames ("+i+") exceeds the minimum numFrames ("+o[0]+") among the examples of the Dataset."})),a=t.hopFrames,m.util.assert(null!=a&&Number.isInteger(a)&&a>0,(function(){return"There are "+o.length+" unique lengths among the "+n.size()+" examples of this Dataset, hence hopFrames is required. But it is not provided."})));var s=null==t.normalize||t.normalize;return(0,m.tidy)((function(){for(var o,u,c,l=[],f=[],p=[],h=0;h<r.length;++h){var d=r[h];if(null==e||d===e){var g=n.label2Ids[d],v=function(r){var o,u,g=n.examples[r].spectrogram,v=g.frameSize;null==c?c=v:m.util.assert(v===c,(function(){return"Mismatch in frameSize  ("+v+" vs "+c+")"}));var y=g.data.length/v,b=null;d!==_k&&(b=null==g.keyFrameIndex?Fk(g).dataSync()[0]:g.keyFrameIndex);var x=(0,m.tensor3d)(g.data,[y,v,1]),w=Ik(y,b,i,a),E=function(n){var r=(0,m.tidy)((function(){var e=x.slice([n[0],0,0],[n[1]-n[0],-1,-1]);return s?bk(e):e}));t.getDataset?f.push(r.dataSync()):l.push(r),null==e&&p.push(h)};try{for(var C=dk(w),S=C.next();!S.done;S=C.next())E(S.value)}catch(e){o={error:e}}finally{try{S&&!S.done&&(u=C.return)&&u.call(C)}finally{if(o)throw o.error}}(0,m.dispose)(x)};try{for(var y=dk(g),b=y.next();!b.done;b=y.next())v(b.value)}catch(e){o={error:e}}finally{try{b&&!b.done&&(u=y.return)&&u.call(y)}finally{if(o)throw o.error}}}}null!=t.augmentByMixingNoiseRatio&&n.augmentByMixingNoise(t.getDataset?f:l,p,t.augmentByMixingNoiseRatio);var x=null==t.shuffle||t.shuffle;if(t.getDataset){var w=null==t.datasetBatchSize?32:t.datasetBatchSize,E=null==t.datasetValidationSplit?.15:t.datasetValidationSplit;m.util.assert(E>0&&E<1,(function(){return"Invalid dataset validation split: "+E}));var C=f.map((function(e,t){return[e,p[t]]}));m.util.shuffle(C),f=C.map((function(e){return e[0]}));var S=C.map((function(e){return e[1]})),N=function(e,t,n){var r,i,a,o,s,u,c,l;m.util.assert(n>0&&n<1,(function(){return"validationSplit is expected to be >0 and <1, but got "+n}));for(var f=!Array.isArray(e[0]),p=t,h=[],d=0;d<p.length;++d){var g=p[d];null==h[g]&&(h[g]=[]),h[g].push(d)}var v=h.length,y=[],b=[];for(h.map((function(e){return m.util.shuffle(e)})),d=0;d<v;++d)for(var x=h[d],w=Math.round(x.length*(1-n)),E=0;E<x.length;++E)E<w?y.push(x[E]):b.push(x[E]);if(f){var C=[],S=[],N=[],A=[];try{for(var k=dk(y),D=k.next();!D.done;D=k.next()){var _=D.value;C.push(e[_]),S.push(t[_])}}catch(e){r={error:e}}finally{try{D&&!D.done&&(i=k.return)&&i.call(k)}finally{if(r)throw r.error}}try{for(var M=dk(b),T=M.next();!T.done;T=M.next())_=T.value,N.push(e[_]),A.push(t[_])}catch(e){a={error:e}}finally{try{T&&!T.done&&(o=M.return)&&o.call(M)}finally{if(a)throw a.error}}return{trainXs:C,trainYs:S,valXs:N,valYs:A}}C=[],S=[],N=[],A=[];try{for(var O=dk(y),I=O.next();!I.done;I=O.next())_=I.value,C.push(e[_]),S.push(t[_])}catch(e){s={error:e}}finally{try{I&&!I.done&&(u=O.return)&&u.call(O)}finally{if(s)throw s.error}}try{for(var F=dk(b),R=F.next();!R.done;R=F.next())_=R.value,N.push(e[_]),A.push(t[_])}catch(e){c={error:e}}finally{try{R&&!R.done&&(l=F.return)&&l.call(F)}finally{if(c)throw c.error}}return{trainXs:C,trainYs:S,valXs:N,valYs:A}}(f,S,E),A=N.trainXs,k=N.trainYs,D=N.valXs,_=N.valYs,M=m.data.array(A).map((function(e){return(0,m.tensor3d)(e,[i,c,1])})),T=m.data.array(k).map((function(e){return(0,m.oneHot)([e],r.length).squeeze([0])})),O=m.data.zip({xs:M,ys:T});x&&(O=O.shuffle(f.length)),O=O.batch(w).prefetch(4);var I=m.data.array(D).map((function(e){return(0,m.tensor3d)(e,[i,c,1])})),F=m.data.array(_).map((function(e){return(0,m.oneHot)([e],r.length).squeeze([0])})),R=m.data.zip({xs:I,ys:F});return[O,R=R.batch(w).prefetch(4)]}if(x){var B=[];l.forEach((function(e,t){B.push({x:e,y:p[t]})})),m.util.shuffle(B),l=B.map((function(e){return e.x})),p=B.map((function(e){return e.y}))}var z=null==e?(0,m.oneHot)((0,m.tensor1d)(p,"int32"),r.length).asType("float32"):void 0;return{xs:(0,m.stack)(l),ys:z}}))},e.prototype.augmentByMixingNoise=function(e,t,n){var r,i;if(null==e||0===e.length)throw new Error("Cannot perform augmentation because data is null or empty");for(var a=e[0]instanceof Float32Array,o=this.getVocabulary(),s=[],u=[],c=0;c<t.length;++c)o[t[c]]===_k?s.push(c):u.push(c);if(0===s.length)throw new Error("Cannot perform augmentation by mixing with noise when there is no example with label _background_noise_");var l=[],f=[],p=function(r){var i=s[function(e,t){return Math.floor((t-0)*Math.random())+0}(0,s.length)],o=a?(0,m.tensor1d)(e[r]):e[r],u=a?(0,m.tensor1d)(e[i]):e[i],c=(0,m.tidy)((function(){return bk(o.add(u.mul(n)))}));a?l.push(c.dataSync()):l.push(c),f.push(t[r])};try{for(var h=dk(u),d=h.next();!d.done;d=h.next())p(d.value)}catch(e){r={error:e}}finally{try{d&&!d.done&&(i=h.return)&&i.call(h)}finally{if(r)throw r.error}}console.log("Data augmentation: mixing noise: added "+l.length+" examples"),l.forEach((function(t){return e.push(t)})),t.push.apply(t,gk(f))},e.prototype.getSortedUniqueNumFrames=function(){for(var e,t,n=new Set,r=this.getVocabulary(),i=0;i<r.length;++i){var a=r[i],o=this.label2Ids[a];try{for(var s=dk(o),u=s.next();!u.done;u=s.next()){var c=u.value,l=this.examples[c].spectrogram,f=l.data.length/l.frameSize;n.add(f)}}catch(t){e={error:t}}finally{try{u&&!u.done&&(t=s.return)&&t.call(s)}finally{if(e)throw e.error}}}var p=gk(n);return p.sort(),p},e.prototype.removeExample=function(e){if(!(e in this.examples))throw new Error("Nonexistent example UID: "+e);var t=this.examples[e].label;delete this.examples[e];var n=this.label2Ids[t].indexOf(e);this.label2Ids[t].splice(n,1),0===this.label2Ids[t].length&&delete this.label2Ids[t]},e.prototype.setExampleKeyFrameIndex=function(e,t){if(!(e in this.examples))throw new Error("Nonexistent example UID: "+e);var n=this.examples[e].spectrogram,r=n.data.length/n.frameSize;m.util.assert(t>=0&&t<r&&Number.isInteger(t),(function(){return"Invalid keyFrameIndex: "+t+". Must be >= 0, < "+r+", and an integer."})),n.keyFrameIndex=t},e.prototype.size=function(){return Object.keys(this.examples).length},e.prototype.durationMillis=function(){var e=0;for(var t in this.examples){var n=this.examples[t].spectrogram,r=23.22|n.frameDurationMillis;e+=n.data.length/n.frameSize*r}return e},e.prototype.empty=function(){return 0===this.size()},e.prototype.clear=function(){this.examples={}},e.prototype.getVocabulary=function(){var e=new Set;for(var t in this.examples){var n=this.examples[t];e.add(n.label)}var r=gk(e);return r.sort(),r},e.prototype.serialize=function(e){var t,n,r,i,a=this.getVocabulary();m.util.assert(!this.empty(),(function(){return"Cannot serialize empty Dataset"})),null!=e&&(Array.isArray(e)||(e=[e]),e.forEach((function(e){if(-1===a.indexOf(e))throw new Error('Word label "'+e+'" does not exist in the vocabulary of this dataset. The vocabulary is: '+JSON.stringify(a)+".")})));var o=[],s=[];try{for(var u=dk(a),c=u.next();!c.done;c=u.next()){var l=c.value;if(null==e||-1!==e.indexOf(l)){var f=this.label2Ids[l];try{for(var p=dk(f),h=p.next();!h.done;h=p.next()){var d=h.value,g=Tk(this.examples[d]);o.push(g.spec),s.push(g.data)}}catch(e){r={error:e}}finally{try{h&&!h.done&&(i=p.return)&&i.call(p)}finally{if(r)throw r.error}}}}}catch(e){t={error:e}}finally{try{c&&!c.done&&(n=u.return)&&n.call(u)}finally{if(t)throw t.error}}return function(e){var t=Ak(JSON.stringify(e.manifest)),n=Ak(Dk),r=new Uint32Array([1]),i=new Uint32Array([t.byteLength]);return Nk([Nk([n,r.buffer,i.buffer]),t,e.data])}({manifest:o,data:Nk(s)})},e}();function Tk(e){var t=null!=e.rawAudio,n={label:e.label,spectrogramNumFrames:e.spectrogram.data.length/e.spectrogram.frameSize,spectrogramFrameSize:e.spectrogram.frameSize};null!=e.spectrogram.keyFrameIndex&&(n.spectrogramKeyFrameIndex=e.spectrogram.keyFrameIndex);var r=e.spectrogram.data.buffer.slice(0);return t&&(n.rawAudioNumSamples=e.rawAudio.data.length,n.rawAudioSampleRateHz=e.rawAudio.sampleRateHz,r=Nk([r,e.rawAudio.data.buffer])),{spec:n,data:r}}function Ok(e){var t={frameSize:e.spec.spectrogramFrameSize,data:new Float32Array(e.data.slice(0,4*e.spec.spectrogramFrameSize*e.spec.spectrogramNumFrames))};null!=e.spec.spectrogramKeyFrameIndex&&(t.keyFrameIndex=e.spec.spectrogramKeyFrameIndex);var n={label:e.spec.label,spectrogram:t};return null!=e.spec.rawAudioNumSamples&&(n.rawAudio={sampleRateHz:e.spec.rawAudioSampleRateHz,data:new Float32Array(e.data.slice(4*e.spec.spectrogramFrameSize*e.spec.spectrogramNumFrames))}),n}function Ik(e,t,n,r){if(m.util.assert(Number.isInteger(e)&&e>0,(function(){return"snippetLength must be a positive integer, but got "+e})),null!=t&&m.util.assert(Number.isInteger(t)&&t>=0,(function(){return"focusIndex must be a non-negative integer, but got "+t})),m.util.assert(Number.isInteger(n)&&n>0,(function(){return"windowLength must be a positive integer, but got "+n})),m.util.assert(Number.isInteger(r)&&r>0,(function(){return"windowHop must be a positive integer, but got "+r})),m.util.assert(n<=e,(function(){return"windowLength ("+n+") exceeds snippetLength ("+e+")"})),m.util.assert(t<e,(function(){return"focusIndex ("+t+") equals or exceeds snippetLength ("+e+")"})),n===e)return[[0,e]];var i=[];if(null==t){for(var a=0;a+n<=e;)i.push([a,a+n]),a+=r;return i}var o=Math.floor(n/2),s=t-o;for(s<0?s=0:s+n>e&&(s=e-n);!(s-r<0||t>=s-r+n);)s-=r;for(;s+n<=e&&!(t<s);)i.push([s,s+n]),s+=r;return i}function Fk(e){return(0,m.tidy)((function(){return function(e){return(0,m.tidy)((function(){var t=e.data.length/e.frameSize;return(0,m.tensor2d)(e.data,[t,e.frameSize]).mean(-1)}))}(e).argMax()}))}var Rk="0.3.9",Bk="tfjs-speech-commands-saved-model-metadata",zk={localStorage:"undefined"==typeof window?null:window.localStorage},Pk=.25,Lk=function(){function e(t,n,r){this.MODEL_URL_PREFIX="https://storage.googleapis.com/tfjs-models/tfjs/speech-commands/v"+function(e){return e.split(".").slice(0,2).join(".")}(Rk)+"/browser_fft",this.SAMPLE_RATE_HZ=44100,this.FFT_SIZE=1024,this.DEFAULT_SUPPRESSION_TIME_MILLIS=0,this.streaming=!1,this.transferRecognizers={},m.util.assert(null==n&&null==r||null!=n&&null!=r,(function(){return"modelURL and metadataURL must be both provided or both not provided."})),null==n?(null==t?t=e.DEFAULT_VOCABULARY_NAME:m.util.assert(-1!==e.VALID_VOCABULARY_NAMES.indexOf(t),(function(){return"Invalid vocabulary name: '"+t+"'"})),this.vocabulary=t,this.modelArtifactsOrURL=this.MODEL_URL_PREFIX+"/"+this.vocabulary+"/model.json",this.metadataOrURL=this.MODEL_URL_PREFIX+"/"+this.vocabulary+"/metadata.json"):(m.util.assert(null==t,(function(){return"vocabulary name must be null or undefined when modelURL is provided"})),this.modelArtifactsOrURL=n,this.metadataOrURL=r),this.parameters={sampleRateHz:this.SAMPLE_RATE_HZ,fftSize:this.FFT_SIZE}}return e.prototype.listen=function(e,t){return pk(this,void 0,void 0,(function(){var n,r,i,a,o,s=this;return hk(this,(function(u){switch(u.label){case 0:if(this.streaming)throw new Error("Cannot start streaming again when streaming is ongoing.");return[4,this.ensureModelLoaded()];case 1:if(u.sent(),null==t&&(t={}),n=null==t.probabilityThreshold?0:t.probabilityThreshold,t.includeEmbedding&&(n=0),m.util.assert(n>=0&&n<=1,(function(){return"Invalid probabilityThreshold value: "+n})),r=null!=t.invokeCallbackOnNoiseAndUnknown&&t.invokeCallbackOnNoiseAndUnknown,t.includeEmbedding&&(r=!0),t.suppressionTimeMillis<0)throw new Error("suppressionTimeMillis is expected to be >= 0, but got "+t.suppressionTimeMillis);return i=null==t.overlapFactor?.5:t.overlapFactor,m.util.assert(i>=0&&i<1,(function(){return"Expected overlapFactor to be >= 0 and < 1, but got "+i})),a=function(i,a){return pk(s,void 0,void 0,(function(){var a,o,s,u,c,l,f,p,h,d,g;return hk(this,(function(v){switch(v.label){case 0:return o=bk(i),t.includeEmbedding?[4,this.ensureModelWithEmbeddingOutputCreated()]:[3,2];case 1:return v.sent(),a=mk(this.modelWithEmbeddingOutput.predict(o),2),s=a[0],u=a[1],[3,3];case 2:s=this.model.predict(o),v.label=3;case 3:return[4,s.data()];case 4:return c=v.sent(),[4,(l=s.argMax(-1)).data()];case 5:return f=v.sent()[0],p=Math.max.apply(Math,gk(c)),(0,m.dispose)([s,l,o]),p<n?[2,!1]:[3,6];case 6:return h=void 0,t.includeSpectrogram?(d={},[4,i.data()]):[3,8];case 7:d.data=v.sent(),d.frameSize=this.nonBatchInputShape[1],h=d,v.label=8;case 8:return g=!0,r||this.words[f]!==_k&&"_unknown_"!==this.words[f]||(g=!1),g&&e({scores:c,spectrogram:h,embedding:u}),[2,g]}}))}))},o=null==t.suppressionTimeMillis?this.DEFAULT_SUPPRESSION_TIME_MILLIS:t.suppressionTimeMillis,this.audioDataExtractor=new wk({sampleRateHz:this.parameters.sampleRateHz,numFramesPerSpectrogram:this.nonBatchInputShape[0],columnTruncateLength:this.nonBatchInputShape[1],suppressionTimeMillis:o,spectrogramCallback:a,overlapFactor:i}),[4,this.audioDataExtractor.start(t.audioTrackConstraints)];case 2:return u.sent(),this.streaming=!0,[2]}}))}))},e.prototype.ensureModelLoaded=function(){return pk(this,void 0,void 0,(function(){var e,t,n,r,i=this;return hk(this,(function(a){switch(a.label){case 0:return null!=this.model?[2]:[4,this.ensureMetadataLoaded()];case 1:return a.sent(),"string"!=typeof this.modelArtifactsOrURL?[3,3]:[4,(0,m.loadLayersModel)(this.modelArtifactsOrURL)];case 2:return e=a.sent(),[3,5];case 3:return[4,(0,m.loadLayersModel)(m.io.fromMemory(this.modelArtifactsOrURL.modelTopology,this.modelArtifactsOrURL.weightSpecs,this.modelArtifactsOrURL.weightData))];case 4:e=a.sent(),a.label=5;case 5:if(1!==e.inputs.length)throw new Error("Expected model to have 1 input, but got a model with "+e.inputs.length+" inputs");if(4!==e.inputs[0].shape.length)throw new Error("Expected model to have an input shape of rank 4, but got an input shape of rank "+e.inputs[0].shape.length);if(1!==e.inputs[0].shape[3])throw new Error("Expected model to have an input shape with 1 as the last dimension, but got input shape"+JSON.stringify(e.inputs[0].shape[3])+"}");if(2!==(t=e.outputShape).length)throw new Error("Expected loaded model to have an output shape of rank 2,but received shape "+JSON.stringify(t));if(t[1]!==this.words.length)throw new Error("Mismatch between the last dimension of model's output shape ("+t[1]+") and number of words ("+this.words.length+").");return this.model=e,this.freezeModel(),this.nonBatchInputShape=e.inputs[0].shape.slice(1),this.elementsPerExample=1,e.inputs[0].shape.slice(1).forEach((function(e){return i.elementsPerExample*=e})),this.warmUpModel(),n=this.parameters.fftSize/this.parameters.sampleRateHz*1e3,r=e.inputs[0].shape[1],this.parameters.spectrogramDurationMillis=r*n,[2]}}))}))},e.prototype.ensureModelWithEmbeddingOutputCreated=function(){return pk(this,void 0,void 0,(function(){var e,t;return hk(this,(function(n){switch(n.label){case 0:return null!=this.modelWithEmbeddingOutput?[2]:[4,this.ensureModelLoaded()];case 1:for(n.sent(),t=this.model.layers.length-2;t>=0;--t)if("Dense"===this.model.layers[t].getClassName()){e=this.model.layers[t];break}if(null==e)throw new Error("Failed to find second last dense layer in the original model.");return this.modelWithEmbeddingOutput=(0,m.model)({inputs:this.model.inputs,outputs:[this.model.outputs[0],e.output]}),[2]}}))}))},e.prototype.warmUpModel=function(){var e=this;(0,m.tidy)((function(){for(var t=(0,m.zeros)([1].concat(e.nonBatchInputShape)),n=0;n<3;++n)e.model.predict(t)}))},e.prototype.ensureMetadataLoaded=function(){return pk(this,void 0,void 0,(function(){var e,t,n;return hk(this,(function(r){switch(r.label){case 0:return null!=this.words?[2]:"string"!=typeof this.metadataOrURL?[3,2]:[4,vk(this.metadataOrURL)];case 1:return t=r.sent(),[3,3];case 2:t=this.metadataOrURL,r.label=3;case 3:if(null==(e=t).wordLabels){if(null==(n=e.words))throw new Error('Cannot find field "words" or "wordLabels" in metadata JSON file');this.words=n}else this.words=e.wordLabels;return[2]}}))}))},e.prototype.stopListening=function(){return pk(this,void 0,void 0,(function(){return hk(this,(function(e){switch(e.label){case 0:if(!this.streaming)throw new Error("Cannot stop streaming when streaming is not ongoing.");return[4,this.audioDataExtractor.stop()];case 1:return e.sent(),this.streaming=!1,[2]}}))}))},e.prototype.isListening=function(){return this.streaming},e.prototype.wordLabels=function(){return this.words},e.prototype.params=function(){return this.parameters},e.prototype.modelInputShape=function(){if(null==this.model)throw new Error("Model has not been loaded yet. Load model by calling ensureModelLoaded(), recognize(), or listen().");return this.model.inputs[0].shape},e.prototype.recognize=function(e,t){return pk(this,void 0,void 0,(function(){var n,r,i,a,o,s,u,c,l,f,p,h,d;return hk(this,(function(g){switch(g.label){case 0:return null==t&&(t={}),[4,this.ensureModelLoaded()];case 1:return g.sent(),null!=e?[3,3]:[4,this.recognizeOnline()];case 2:n=g.sent(),e=n.data,g.label=3;case 3:if(e instanceof m.Tensor)this.checkInputTensorShape(e),i=e,r=e.shape[0];else{if((e=e).length%this.elementsPerExample)throw new Error("The length of the input Float32Array "+e.length+" is not divisible by the number of tensor elements per per example expected by the model "+this.elementsPerExample+".");r=e.length/this.elementsPerExample,i=(0,m.tensor4d)(e,[r].concat(this.nonBatchInputShape))}return o={scores:null},t.includeEmbedding?[4,this.ensureModelWithEmbeddingOutputCreated()]:[3,5];case 4:return g.sent(),s=this.modelWithEmbeddingOutput.predict(i),a=s[0],o.embedding=s[1],[3,6];case 5:a=this.model.predict(i),g.label=6;case 6:return 1!==r?[3,8]:(u=o,[4,a.data()]);case 7:return u.scores=g.sent(),[3,10];case 8:return c=(0,m.unstack)(a),l=c.map((function(e){return e.data()})),f=o,[4,Promise.all(l)];case 9:f.scores=g.sent(),(0,m.dispose)(c),g.label=10;case 10:return t.includeSpectrogram?(p=o,h={},e instanceof m.Tensor?[4,e.data()]:[3,12]):[3,14];case 11:return d=g.sent(),[3,13];case 12:d=e,g.label=13;case 13:p.spectrogram=(h.data=d,h.frameSize=this.nonBatchInputShape[1],h),g.label=14;case 14:return[2,o]}}))}))},e.prototype.recognizeOnline=function(){return pk(this,void 0,void 0,(function(){var e=this;return hk(this,(function(t){return[2,new Promise((function(t,n){e.audioDataExtractor=new wk({sampleRateHz:e.parameters.sampleRateHz,numFramesPerSpectrogram:e.nonBatchInputShape[0],columnTruncateLength:e.nonBatchInputShape[1],suppressionTimeMillis:0,spectrogramCallback:function(n){return pk(e,void 0,void 0,(function(){var e,r,i;return hk(this,(function(a){switch(a.label){case 0:return e=bk(n),[4,this.audioDataExtractor.stop()];case 1:return a.sent(),r=t,i={},[4,e.data()];case 2:return r.apply(void 0,[(i.data=a.sent(),i.frameSize=this.nonBatchInputShape[1],i)]),e.dispose(),[2,!1]}}))}))},overlapFactor:0}),e.audioDataExtractor.start()}))]}))}))},e.prototype.createTransfer=function(e){if(null==this.model)throw new Error("Model has not been loaded yet. Load model by calling ensureModelLoaded(), recognizer(), or listen().");m.util.assert(null!=e&&"string"==typeof e&&e.length>1,(function(){return"Expected the name for a transfer-learning recognized to be a non-empty string, but got "+JSON.stringify(e)})),m.util.assert(null==this.transferRecognizers[e],(function(){return"There is already a transfer-learning model named '"+e+"'"}));var t=new jk(e,this.parameters,this.model);return this.transferRecognizers[e]=t,t},e.prototype.freezeModel=function(){var e,t;try{for(var n=dk(this.model.layers),r=n.next();!r.done;r=n.next())r.value.trainable=!1}catch(t){e={error:t}}finally{try{r&&!r.done&&(t=n.return)&&t.call(n)}finally{if(e)throw e.error}}},e.prototype.checkInputTensorShape=function(e){var t=this.model.inputs[0].shape.length;if(e.shape.length!==t)throw new Error("Expected input Tensor to have rank "+t+", but got rank "+e.shape.length+" that differs ");var n=e.shape.slice(1),r=this.model.inputs[0].shape.slice(1);if(!m.util.arraysEqual(n,r))throw new Error("Expected input to have shape [null,"+r+"], but got shape [null,"+n+"]")},e.VALID_VOCABULARY_NAMES=["18w","directional4w"],e.DEFAULT_VOCABULARY_NAME="18w",e}(),jk=function(e){function t(t,n,r){var i=e.call(this)||this;return i.name=t,i.parameters=n,i.baseModel=r,m.util.assert(null!=t&&"string"==typeof t&&t.length>0,(function(){return"The name of a transfer model must be a non-empty string, but got "+JSON.stringify(t)})),i.nonBatchInputShape=i.baseModel.inputs[0].shape.slice(1),i.words=null,i.dataset=new Mk,i}return function(e,t){function n(){this.constructor=e}lk(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}(t,e),t.prototype.collectExample=function(e,t){return pk(this,void 0,void 0,(function(){var n,r,i,a,o=this;return hk(this,(function(s){if(m.util.assert(!this.streaming,(function(){return"Cannot start collection of transfer-learning example because a streaming recognition or transfer-learning example collection is ongoing"})),m.util.assert(null!=e&&"string"==typeof e&&e.length>0,(function(){return"Must provide a non-empty string when collecting transfer-learning example"})),null==t&&(t={}),null!=t.durationMultiplier&&null!=t.durationSec)throw new Error("durationMultiplier and durationSec are mutually exclusive, but are both specified.");return null!=t.durationSec?(m.util.assert(t.durationSec>0,(function(){return"Expected durationSec to be > 0, but got "+t.durationSec})),r=this.parameters.fftSize/this.parameters.sampleRateHz,n=Math.ceil(t.durationSec/r)):null!=t.durationMultiplier?(m.util.assert(t.durationMultiplier>=1,(function(){return"Expected duration multiplier to be >= 1, but got "+t.durationMultiplier})),n=Math.round(this.nonBatchInputShape[0]*t.durationMultiplier)):n=this.nonBatchInputShape[0],null!=t.snippetDurationSec&&(m.util.assert(t.snippetDurationSec>0,(function(){return"snippetDurationSec is expected to be > 0, but got "+t.snippetDurationSec})),m.util.assert(null!=t.onSnippet,(function(){return"onSnippet must be provided if snippetDurationSec is provided."}))),null!=t.onSnippet&&m.util.assert(null!=t.snippetDurationSec,(function(){return"snippetDurationSec must be provided if onSnippet is provided."})),i=this.parameters.fftSize/this.parameters.sampleRateHz,a=i*n,this.streaming=!0,[2,new Promise((function(r){var i=null==t.snippetDurationSec?1:t.snippetDurationSec/a,s=1-i,u=Math.round(1/i),c=0,l=-1,f=[];o.audioDataExtractor=new wk({sampleRateHz:o.parameters.sampleRateHz,numFramesPerSpectrogram:n,columnTruncateLength:o.nonBatchInputShape[1],suppressionTimeMillis:0,spectrogramCallback:function(n,i){return pk(o,void 0,void 0,(function(){var a,o,s,p,h,d,g,v,y,b,x,w,E,C,S,N,A,k,D,_;return hk(this,(function(M){switch(M.label){case 0:return null!=t.onSnippet?[3,7]:(a=bk(n),s=(o=this.dataset).addExample,p={label:e},h={},[4,a.data()]);case 1:return p.spectrogram=(h.data=M.sent(),h.frameSize=this.nonBatchInputShape[1],h),t.includeRawAudio?(g={},[4,i.data()]):[3,3];case 2:return g.data=M.sent(),g.sampleRateHz=this.audioDataExtractor.sampleRateHz,d=g,[3,4];case 3:d=void 0,M.label=4;case 4:return s.apply(o,[(p.rawAudio=d,p)]),a.dispose(),[4,this.audioDataExtractor.stop()];case 5:return M.sent(),this.streaming=!1,this.collateTransferWords(),v=r,y={},[4,n.data()];case 6:return v.apply(void 0,[(y.data=M.sent(),y.frameSize=this.nonBatchInputShape[1],y)]),[3,13];case 7:return[4,n.data()];case 8:for(b=M.sent(),-1===l&&(l=b.length),x=l-1;0!==b[x]&&x>=0;)x--;return w=l-x-1,l=x+1,E=b.slice(b.length-w,b.length),f.push(E),null!=t.onSnippet&&t.onSnippet({data:E,frameSize:this.nonBatchInputShape[1]}),c++!==u?[3,13]:[4,this.audioDataExtractor.stop()];case 9:return M.sent(),this.streaming=!1,this.collateTransferWords(),C=function(e){if(e.length<2)throw new Error("Cannot normalize a Float32Array with fewer than 2 elements.");return null==yk&&(yk=(0,m.backend)().epsilon()),(0,m.tidy)((function(){var t=(0,m.moments)((0,m.tensor1d)(e)),n=t.mean,r=t.variance,i=n.arraySync(),a=Math.sqrt(r.arraySync()),o=Array.from(e).map((function(e){return(e-i)/(a+yk)}));return new Float32Array(o)}))}(function(e){var t=0;e.forEach((function(e){return t+=e.length}));var n=new Float32Array(t),r=0;return e.forEach((function(e){n.set(e,r),r+=e.length})),n}(f)),S={data:C,frameSize:this.nonBatchInputShape[1]},A=(N=this.dataset).addExample,k={label:e,spectrogram:S},t.includeRawAudio?(_={},[4,i.data()]):[3,11];case 10:return _.data=M.sent(),_.sampleRateHz=this.audioDataExtractor.sampleRateHz,D=_,[3,12];case 11:D=void 0,M.label=12;case 12:A.apply(N,[(k.rawAudio=D,k)]),r(S),M.label=13;case 13:return[2,!1]}}))}))},overlapFactor:s,includeRawAudio:t.includeRawAudio}),o.audioDataExtractor.start(t.audioTrackConstraints)}))]}))}))},t.prototype.clearExamples=function(){var e=this;m.util.assert(null!=this.words&&this.words.length>0&&!this.dataset.empty(),(function(){return"No transfer learning examples exist for model name "+e.name})),this.dataset.clear(),this.words=null},t.prototype.countExamples=function(){if(this.dataset.empty())throw new Error("No examples have been collected for transfer-learning model named '"+this.name+"' yet.");return this.dataset.getExampleCounts()},t.prototype.getExamples=function(e){return this.dataset.getExamples(e)},t.prototype.setExampleKeyFrameIndex=function(e,t){this.dataset.setExampleKeyFrameIndex(e,t)},t.prototype.removeExample=function(e){this.dataset.removeExample(e),this.collateTransferWords()},t.prototype.isDatasetEmpty=function(){return this.dataset.empty()},t.prototype.loadExamples=function(e,t){var n,r,i,a;void 0===t&&(t=!1);var o=new Mk(e);t&&this.clearExamples();var s=o.getVocabulary();try{for(var u=dk(s),c=u.next();!c.done;c=u.next()){var l=c.value,f=o.getExamples(l);try{for(var p=dk(f),h=p.next();!h.done;h=p.next()){var d=h.value;this.dataset.addExample(d.example)}}catch(e){i={error:e}}finally{try{h&&!h.done&&(a=p.return)&&a.call(p)}finally{if(i)throw i.error}}}}catch(e){n={error:e}}finally{try{c&&!c.done&&(r=u.return)&&r.call(u)}finally{if(n)throw n.error}}this.collateTransferWords()},t.prototype.serializeExamples=function(e){return this.dataset.serialize(e)},t.prototype.collateTransferWords=function(){this.words=this.dataset.getVocabulary()},t.prototype.collectTransferDataAsTensors=function(e,t){var n=this.nonBatchInputShape[0];e=e||Pk;var r=Math.round(e*n),i=this.dataset.getData(null,fk({numFrames:n,hopFrames:r},t));return{xs:i.xs,ys:i.ys}},t.prototype.collectTransferDataAsTfDataset=function(e,t,n,r){void 0===t&&(t=.15),void 0===n&&(n=32);var i=this.nonBatchInputShape[0];e=e||Pk;var a=Math.round(e*i);return this.dataset.getData(null,fk({numFrames:i,hopFrames:a,getDataset:!0,datasetBatchSize:n,datasetValidationSplit:t},r))},t.prototype.train=function(e){return pk(this,void 0,void 0,(function(){var t,n=this;return hk(this,(function(r){switch(r.label){case 0:return m.util.assert(null!=this.words&&this.words.length>0,(function(){return"Cannot train transfer-learning model '"+n.name+"' because no transfer learning example has been collected."})),m.util.assert(this.words.length>1,(function(){return"Cannot train transfer-learning model '"+n.name+"' because only 1 word label ('"+JSON.stringify(n.words)+"') has been collected for transfer learning. Requires at least 2."})),null!=e.fineTuningEpochs&&m.util.assert(e.fineTuningEpochs>=0&&Number.isInteger(e.fineTuningEpochs),(function(){return"If specified, fineTuningEpochs must be a non-negative integer, but received "+e.fineTuningEpochs})),null==e&&(e={}),null==this.model&&this.createTransferModelFromBaseModel(),this.secondLastBaseDenseLayer.trainable=!1,this.model.compile({loss:"categoricalCrossentropy",optimizer:e.optimizer||"sgd",metrics:["acc"]}),t=null==e.fitDatasetDurationMillisThreshold?6e4:e.fitDatasetDurationMillisThreshold,this.dataset.durationMillis()>t?(console.log("Detected large dataset: total duration = "+this.dataset.durationMillis()+" ms > "+t+" ms. Training transfer model using fitDataset() instead of fit()"),[4,this.trainOnDataset(e)]):[3,2];case 1:case 3:return[2,r.sent()];case 2:return[4,this.trainOnTensors(e)]}}))}))},t.prototype.trainOnDataset=function(e){return pk(this,void 0,void 0,(function(){var t,n,r,i,a,o,s,u,c;return hk(this,(function(l){switch(l.label){case 0:return m.util.assert(e.epochs>0,(function(){return"Invalid config.epochs"})),t=null==e.batchSize?32:e.batchSize,n=e.windowHopRatio||Pk,r=mk(this.collectTransferDataAsTfDataset(n,e.validationSplit,t,{augmentByMixingNoiseRatio:e.augmentByMixingNoiseRatio}),2),i=r[0],a=r[1],o=m.util.now(),[4,this.model.fitDataset(i,{epochs:e.epochs,validationData:e.validationSplit>0?a:null,callbacks:null==e.callback?null:[e.callback]})];case 1:return s=l.sent(),console.log("fitDataset() took "+(m.util.now()-o).toFixed(2)+" ms"),null!=e.fineTuningEpochs&&e.fineTuningEpochs>0?(u=m.util.now(),[4,this.fineTuningUsingTfDatasets(e,i,a)]):[3,3];case 2:return c=l.sent(),console.log("fitDataset() (fine-tuning) took "+(m.util.now()-u).toFixed(2)+" ms"),[2,[s,c]];case 3:return[2,s]}}))}))},t.prototype.trainOnTensors=function(e){return pk(this,void 0,void 0,(function(){var t,n,r,i,a,o,s,u,c,l;return hk(this,(function(f){switch(f.label){case 0:t=e.windowHopRatio||Pk,n=this.collectTransferDataAsTensors(t,{augmentByMixingNoiseRatio:e.augmentByMixingNoiseRatio}),r=n.xs,i=n.ys,console.log("Training data: xs.shape = "+r.shape+", ys.shape = "+i.shape),f.label=1;case 1:return f.trys.push([1,,6,7]),null!=e.validationSplit?(u=function(e,t,n){return m.util.assert(n>0&&n<1,(function(){return"validationSplit is expected to be >0 and <1, but got "+n})),(0,m.tidy)((function(){for(var r=t.argMax(-1).dataSync(),i=[],a=0;a<r.length;++a){var o=r[a];null==i[o]&&(i[o]=[]),i[o].push(a)}var s=i.length,u=[],c=[];for(i.map((function(e){return m.util.shuffle(e)})),a=0;a<s;++a)for(var l=i[a],f=Math.round(l.length*(1-n)),p=0;p<l.length;++p)p<f?u.push(l[p]):c.push(l[p]);return{trainXs:(0,m.gather)(e,u),trainYs:(0,m.gather)(t,u),valXs:(0,m.gather)(e,c),valYs:(0,m.gather)(t,c)}}))}(r,i,e.validationSplit),a=u.trainXs,o=u.trainYs,s=[u.valXs,u.valYs]):(a=r,o=i),[4,this.model.fit(a,o,{epochs:null==e.epochs?20:e.epochs,validationData:s,batchSize:e.batchSize,callbacks:null==e.callback?null:[e.callback]})];case 2:return c=f.sent(),null!=e.fineTuningEpochs&&e.fineTuningEpochs>0?[4,this.fineTuningUsingTensors(e,a,o,s)]:[3,4];case 3:return l=f.sent(),[2,[c,l]];case 4:return[2,c];case 5:return[3,7];case 6:return(0,m.dispose)([r,i,a,o,s]),[7];case 7:return[2]}}))}))},t.prototype.fineTuningUsingTfDatasets=function(e,t,n){return pk(this,void 0,void 0,(function(){var r,i,a;return hk(this,(function(o){switch(o.label){case 0:return r=this.secondLastBaseDenseLayer.trainable,this.secondLastBaseDenseLayer.trainable=!0,i=null==e.fineTuningOptimizer?"sgd":e.fineTuningOptimizer,this.model.compile({loss:"categoricalCrossentropy",optimizer:i,metrics:["acc"]}),[4,this.model.fitDataset(t,{epochs:e.fineTuningEpochs,validationData:n,callbacks:null==e.callback?null:[e.callback]})];case 1:return a=o.sent(),this.secondLastBaseDenseLayer.trainable=r,[2,a]}}))}))},t.prototype.fineTuningUsingTensors=function(e,t,n,r){return pk(this,void 0,void 0,(function(){var i,a,o;return hk(this,(function(s){switch(s.label){case 0:return i=this.secondLastBaseDenseLayer.trainable,this.secondLastBaseDenseLayer.trainable=!0,a=null==e.fineTuningOptimizer?"sgd":e.fineTuningOptimizer,this.model.compile({loss:"categoricalCrossentropy",optimizer:a,metrics:["acc"]}),[4,this.model.fit(t,n,{epochs:e.fineTuningEpochs,validationData:r,batchSize:e.batchSize,callbacks:null==e.fineTuningCallback?null:[e.fineTuningCallback]})];case 1:return o=s.sent(),this.secondLastBaseDenseLayer.trainable=i,[2,o]}}))}))},t.prototype.evaluate=function(e){return pk(this,void 0,void 0,(function(){var t=this;return hk(this,(function(n){return m.util.assert(null!=e.wordProbThresholds&&e.wordProbThresholds.length>0,(function(){return"Received null or empty wordProbThresholds"})),m.util.assert(this.words[0]===_k,(function(){return"Cannot perform evaluation when the first tag is not _background_noise_"})),[2,(0,m.tidy)((function(){for(var n=[],r=0,i=t.collectTransferDataAsTensors(e.windowHopRatio),a=i.xs,o=i.ys.argMax(-1).dataSync(),s=t.model.predict(a),u=s.slice([0,1],[s.shape[0],s.shape[1]-1]).max(-1),c=s.shape[0],l=0;l<e.wordProbThresholds.length;++l){for(var f=e.wordProbThresholds[l],p=u.greater((0,m.scalar)(f)).dataSync(),h=0,d=0,g=0,v=0,y=0;y<c;++y)0===o[y]?(h++,p[y]&&g++):(d++,p[y]&&v++);var b=g/h,x=v/d;n.push({probThreshold:f,fpr:b,tpr:x}),console.log("ROC thresh="+f+": fpr="+b.toFixed(4)+", tpr="+x.toFixed(4)),l>0&&(r+=Math.abs(n[l-1].fpr-n[l].fpr)*(n[l-1].tpr+n[l].tpr)/2)}return{rocCurve:n,auc:r}}))]}))}))},t.prototype.createTransferModelFromBaseModel=function(){var e=this;m.util.assert(null!=this.words,(function(){return"No word example is available for tranfer-learning model of name "+e.name}));for(var t=this.baseModel.layers,n=t.length-2;n>=0&&"dense"!==t[n].getClassName().toLowerCase();)n--;if(n<0)throw new Error("Cannot find a hidden dense layer in the base model.");this.secondLastBaseDenseLayer=t[n];var r=this.secondLastBaseDenseLayer.output;this.transferHead=(0,m.sequential)(),this.transferHead.add(m.layers.dense({units:this.words.length,activation:"softmax",inputShape:r.shape.slice(1),name:"NewHeadDense"}));var i=this.transferHead.apply(r);this.model=(0,m.model)({inputs:this.baseModel.inputs,outputs:i})},t.prototype.modelInputShape=function(){return this.baseModel.inputs[0].shape},t.prototype.getMetadata=function(){return{tfjsSpeechCommandsVersion:Rk,modelName:this.name,timeStamp:(new Date).toISOString(),wordLabels:this.wordLabels()}},t.prototype.save=function(e){return pk(this,void 0,void 0,(function(){var t,n,r;return hk(this,(function(i){return t=null!=e,e=e||Uk(this.name),t||(n=zk.localStorage.getItem(Bk),(r=null==n?{}:JSON.parse(n))[this.name]=this.getMetadata(),zk.localStorage.setItem(Bk,JSON.stringify(r))),console.log("Saving model to "+e),[2,this.model.save(e)]}))}))},t.prototype.load=function(e){return pk(this,void 0,void 0,(function(){var t,n,r;return hk(this,(function(i){switch(i.label){case 0:if(t=null!=e,e=e||Uk(this.name),!t){if(null==(n=JSON.parse(zk.localStorage.getItem(Bk)))||null==n[this.name])throw new Error("Cannot find metadata for transfer model named "+this.name+'"');this.words=n[this.name].wordLabels,console.log("Loaded word list for model named "+this.name+": "+this.words)}return r=this,[4,(0,m.loadLayersModel)(e)];case 1:return r.model=i.sent(),console.log("Loaded model from "+e+":"),this.model.summary(),[2]}}))}))},t.prototype.createTransfer=function(e){throw new Error("Creating transfer-learned recognizer from a transfer-learned recognizer is not supported.")},t}(Lk);function Uk(e){return"indexeddb://tfjs-speech-commands-model/"+e}function qk(e,t,n,r){if(m.util.assert(null==n&&null==r||null!=n&&null!=r,(function(){return"customModelURL and customMetadataURL must be both provided or both not provided."})),null!=n&&m.util.assert(null==t,(function(){return"vocabulary name must be null or undefined when modelURL is provided."})),"BROWSER_FFT"===e)return new Lk(t,n,r);throw"SOFT_FFT"===e?new Error("SOFT_FFT SpeechCommandRecognizer has not been implemented yet."):new Error("Invalid fftType: '"+e+"'")}class Wk{constructor(e){this.options=e}async load(e){if(e){const t=e.split("/"),n=`${t.slice(0,t.length-1).join("/")}/metadata.json`;this.model=qk("BROWSER_FFT",void 0,e,n)}else this.model=qk("BROWSER_FFT");await this.model.ensureModelLoaded(),this.allLabels=this.model.wordLabels()}classify(e=this.allLabels.length,t){return this.model.listen((n=>{if(n.scores){const r=qA(n.scores,e,this.allLabels).map((e=>({label:e.className,confidence:e.probability})));return t(null,r)}return t(`ERROR: Cannot find scores in result: ${n}`)}),this.options).catch((e=>t(`ERROR: ${e.message}`)))}}async function Vk(e,t){const n=new Wk(e);return await n.load(t),n}const $k=["speechcommands18w"];class Hk{constructor(e,t,n){this.model=null,this.options=t,"string"==typeof e&&($k.includes(e)?(this.modelName=e,this.modelUrl=null,"speechcommands18w"===this.modelName?this.modelToUse=c:this.modelToUse=null):(this.modelToUse=c,this.modelUrl=e)),this.ready=kA(this.loadModel(t,this.modelUrl),n)}async loadModel(e){return this.model=await this.modelToUse.load(e,this.modelUrl),this}async classifyInternal(e,t){return await this.ready,await m.nextFrame(),this.model.classify(e,t)}async classify(e=null,t){let n,r=this.topk;return"number"==typeof e?r=e:"function"==typeof e&&(n=e),"function"==typeof t&&(n=t),this.classifyInternal(r,n)}}function Gk(e,t){return null==e&&null==t?null:null==e?t.clone():null===t?e.clone():e.concat(t,0)}function Kk(e,t){for(var n=[],r=0;r<e.length;r++)n.push({value:e[r],index:r});n.sort((function(e,t){return t.value-e.value}));var i=new Float32Array(t),a=new Int32Array(t);for(r=0;r<t;r++)i[r]=n[r].value,a[r]=n[r].index;return{values:i,indices:a}}var Xk=function(){function e(){this.classDatasetMatrices={},this.classExampleCount={},this.labelToClassId={},this.nextClassId=0}return e.prototype.addExample=function(e,t){var n=this;if(null==this.exampleShape&&(this.exampleShape=e.shape),!OA.util.arraysEqual(this.exampleShape,e.shape))throw new Error("Example shape provided, "+e.shape+" does not match previously provided example shapes "+this.exampleShape+".");this.clearTrainDatasetMatrix(),t in this.labelToClassId||(this.labelToClassId[t]=this.nextClassId++),(0,OA.tidy)((function(){var r=n.normalizeVectorToUnitLength(e.flatten()),i=r.shape[0];if(null==n.classDatasetMatrices[t])n.classDatasetMatrices[t]=r.as2D(1,i);else{var a=n.classDatasetMatrices[t].as2D(n.classExampleCount[t],i).concat(r.as2D(1,i),0);n.classDatasetMatrices[t].dispose(),n.classDatasetMatrices[t]=a}(0,OA.keep)(n.classDatasetMatrices[t]),null==n.classExampleCount[t]&&(n.classExampleCount[t]=0),n.classExampleCount[t]++}))},e.prototype.similarities=function(e){var t=this;return(0,OA.tidy)((function(){var n=t.normalizeVectorToUnitLength(e.flatten()),r=n.shape[0];if(null==t.trainDatasetMatrix){var i=null;for(var a in t.classDatasetMatrices)i=Gk(i,t.classDatasetMatrices[a]);t.trainDatasetMatrix=i}if(null==t.trainDatasetMatrix)return console.warn("Cannot predict without providing training examples."),null;(0,OA.keep)(t.trainDatasetMatrix);var o=t.getNumExamples();return t.trainDatasetMatrix.as2D(o,r).matMul(n.as2D(r,1)).as1D()}))},e.prototype.predictClass=function(e,t){return void 0===t&&(t=3),function(e,t,n,r){return new(n||(n=Promise))((function(t,i){function a(e){try{s(r.next(e))}catch(e){i(e)}}function o(e){try{s(r.throw(e))}catch(e){i(e)}}function s(e){e.done?t(e.value):new n((function(t){t(e.value)})).then(a,o)}s((r=r.apply(e,[])).next())}))}(this,0,void 0,(function(){var n,r,i,a,o=this;return function(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}(this,(function(s){switch(s.label){case 0:if(t<1)throw new Error("Please provide a positive integer k value to predictClass.");if(0===this.getNumExamples())throw new Error("You have not added any examples to the KNN classifier. Please add examples before calling predictClass.");return n=(0,OA.tidy)((function(){return o.similarities(e).asType("float32")})),r=Math.min(t,this.getNumExamples()),a=Kk,[4,n.data()];case 1:return i=a.apply(void 0,[s.sent(),r]).indices,n.dispose(),[2,this.calculateTopClass(i,r)]}}))}))},e.prototype.clearClass=function(e){if(null==this.classDatasetMatrices[e])throw new Error("Cannot clear invalid class "+e);delete this.classDatasetMatrices[e],delete this.classExampleCount[e],this.clearTrainDatasetMatrix()},e.prototype.clearAllClasses=function(){for(var e in this.classDatasetMatrices)this.clearClass(e)},e.prototype.getClassExampleCount=function(){return this.classExampleCount},e.prototype.getClassifierDataset=function(){return this.classDatasetMatrices},e.prototype.getNumClasses=function(){return Object.keys(this.classExampleCount).length},e.prototype.setClassifierDataset=function(e){for(var t in this.clearTrainDatasetMatrix(),this.classDatasetMatrices=e,e)this.classExampleCount[t]=e[t].shape[0]},e.prototype.calculateTopClass=function(e,t){var n,r={};if(null==e)return{classIndex:this.labelToClassId[n],label:n,confidences:r};var i={},a=0;for(var o in this.classDatasetMatrices)a+=this.classExampleCount[o],i[o]=a;var s={};for(var o in this.classDatasetMatrices)s[o]=0;for(var u=0;u<e.length;u++){var c=e[u];for(var o in this.classDatasetMatrices)if(c<i[o]){s[o]++;break}}var l=0;for(var o in this.classDatasetMatrices){var f=s[o]/t;f>l&&(l=f,n=o),r[o]=f}return{classIndex:this.labelToClassId[n],label:n,confidences:r}},e.prototype.clearTrainDatasetMatrix=function(){null!=this.trainDatasetMatrix&&(this.trainDatasetMatrix.dispose(),this.trainDatasetMatrix=null)},e.prototype.normalizeVectorToUnitLength=function(e){return(0,OA.tidy)((function(){var t=e.norm();return(0,OA.div)(e,t)}))},e.prototype.getNumExamples=function(){var e=0;for(var t in this.classDatasetMatrices)e+=this.classExampleCount[t];return e},e.prototype.dispose=function(){for(var e in this.clearTrainDatasetMatrix(),this.classDatasetMatrices)this.classDatasetMatrices[e].dispose()},e}();const Yk=async(e,t,n)=>{const r=document.createElement("a");r.style.display="none",document.body.appendChild(r);const i=new Blob([e],{type:n});r.href=URL.createObjectURL(i),r.download=t,r.click()};class Jk{constructor(){this.knnClassifier=new Xk,this.mapStringToIndex=[]}addExample(e,t){let n,r;"string"==typeof t?n=this.mapStringToIndex.includes(t)?this.mapStringToIndex.indexOf(t):this.mapStringToIndex.push(t)-1:"number"==typeof t&&(n=t),r=Array.isArray(e)?m.tensor(e):e,this.knnClassifier.addExample(r,n)}async classify(e,t,n){let r,i=3,a=n;return"number"==typeof t?i=t:"function"==typeof t&&(a=t),r=Array.isArray(e)?m.tensor(e):e,kA(this.classifyInternal(r,i),a)}async classifyInternal(e,t){if(this.knnClassifier.getNumClasses()<=0)throw new Error("There is no example in any class");{const n=await this.knnClassifier.predictClass(e,t);if(this.mapStringToIndex.length>0){if(n.classIndex||0===n.classIndex){const e=this.mapStringToIndex[n.classIndex];e&&(n.label=e)}if(n.confidences){n.confidencesByLabel={};const{confidences:e}=n;Object.keys(e).forEach((t=>{const r=this.mapStringToIndex[t];n.confidencesByLabel[r]=e[t]}))}}return n}}clearLabel(e){let t;"string"==typeof e?this.mapStringToIndex.includes(e)&&(t=this.mapStringToIndex.indexOf(e)):"number"==typeof e&&(t=e),this.knnClassifier.clearClass(t)}clearAllLabels(){this.mapStringToIndex=[],this.knnClassifier.clearAllClasses()}getCountByLabel(){const e=this.knnClassifier.getClassExampleCount();if(this.mapStringToIndex.length>0){const t={};return Object.keys(e).forEach((n=>{if(this.mapStringToIndex[n]){const r=this.mapStringToIndex[n];t[r]=e[n]}})),t}return e}getCount(){return this.knnClassifier.getClassExampleCount()}getClassifierDataset(){return this.knnClassifier.getClassifierDataset()}setClassifierDataset(e){this.knnClassifier.setClassifierDataset(e)}getNumLabels(){return this.knnClassifier.getNumClasses()}dispose(){this.knnClassifier.dispose()}async save(e){const t=this.knnClassifier.getClassifierDataset();this.mapStringToIndex.length>0&&Object.keys(t).forEach((e=>{this.mapStringToIndex[e]&&(t[e].label=this.mapStringToIndex[e])}));const n=Object.keys(t).map((e=>{const n=t[e];return n?n.dataSync():null}));let r="myKNN.json";e&&(r=e.endsWith(".json")?e:`${e}.json`),await Yk(JSON.stringify({dataset:t,tensors:n}),r,"application/octet-stream")}async load(e,t){let n;if(n="object"==typeof e?e:await(async(e,t)=>MA().get(e).then((e=>e.data)).then((e=>e)).catch((e=>{throw console.error(`There has been a problem loading the file: ${e.message}`),e})))(e),n){const{dataset:e,tensors:r}=n;this.mapStringToIndex=Object.keys(e).map((t=>e[t].label));const i=r.map(((t,n)=>{if(t){const r=Object.keys(t).map((e=>t[e]));return m.tensor(r,e[n].shape,e[n].dtype)}return null})).reduce(((e,t,n)=>(e[n]=t,e)),{});this.knnClassifier.setClassifierDataset(i),t&&t()}}}const Zk=class{constructor(e,t){this.videoElt=null,this.size=t,this.videoReady=!1,e instanceof HTMLVideoElement?this.videoElt=e:null!==e&&"object"==typeof e&&e.elt instanceof HTMLVideoElement&&(this.videoElt=e.elt)}async loadVideo(){let e;return new Promise((t=>{this.video=document.createElement("video");const n=navigator.userAgent;e=n.indexOf("Firefox")>-1?this.videoElt.mozCaptureStream():this.videoElt.captureStream(),this.video.srcObject=e,this.video.width=this.size,this.video.height=this.size,this.video.autoplay=!0,this.video.playsinline=!0,this.video.muted=!0;const r=this.video.play();void 0!==r&&r.then((()=>{t(this.video)}))}))}},Qk=224,eD=[Qk,Qk],tD={1:{.25:"https://tfhub.dev/google/imagenet/mobilenet_v1_025_224/classification/1",.5:"https://tfhub.dev/google/imagenet/mobilenet_v1_050_224/classification/1",.75:"https://tfhub.dev/google/imagenet/mobilenet_v1_075_224/classification/1",1:"https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/classification/1"},2:{.5:"https://tfhub.dev/google/imagenet/mobilenet_v2_050_224/classification/2",.75:"https://tfhub.dev/google/imagenet/mobilenet_v2_075_224/classification/2",1:"https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/2"}},nD={1:"module_apply_default/MobilenetV1/Logits/global_pool",2:"module_apply_default/MobilenetV2/Logits/AvgPool"},rD=["person","bicycle","car","motorbike","aeroplane","bus","train","truck","boat","traffic light","fire hydrant","stop sign","parking meter","bench","bird","cat","dog","horse","sheep","cow","elephant","bear","zebra","giraffe","backpack","umbrella","handbag","tie","suitcase","frisbee","skis","snowboard","sports ball","kite","baseball bat","baseball glove","skateboard","surfboard","tennis racket","bottle","wine glass","cup","fork","knife","spoon","bowl","banana","apple","sandwich","orange","broccoli","carrot","hot dog","pizza","donut","cake","chair","sofa","pottedplant","bed","diningtable","toilet","tvmonitor","laptop","mouse","remote","keyboard","cell phone","microwave","oven","toaster","sink","refrigerator","book","clock","vase","scissors","teddy bear","hair drier","toothbrush"];function iD(e){return!!new RegExp("^(?:[a-z]+:)?//","i").test(e)}const aD={isAbsoluteURL:iD,getModelPath:function(e){return iD(e)?e:window.location.pathname+e}},oD=(e,t)=>{const n=Math.min(e[3],t[3])-Math.max(e[1],t[1]),r=Math.min(e[2],t[2])-Math.max(e[0],t[0]);return n<0||r<0?0:n*r},sD=(e,t)=>oD(e,t)/((e,t)=>{const 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function(e,t,n,r){return m.tidy((()=>{const i=m.mul(t,n),a=m.argMax(i,-1),o=m.max(i,-1),s=m.greaterEqual(o,m.scalar(r)).dataSync(),u=[];for(let e=0;e<s.length;e+=1)s[e]&&u.push(e);if(0===u.length)return[null,null,null];const c=m.tensor1d(u,"int32");return[m.gather(e.reshape([s.length,4]),c),m.gather(o.flatten(),c),m.gather(a.flatten(),c)]}))}(n,r,i,this.filterBoxesThreshold);return n.dispose(),r.dispose(),i.dispose(),null==a?[]:m.tidy((()=>{const e=m.scalar(uD),n=m.scalar(uD),r=m.stack([n,e,n,e]).reshape([1,4]),i=m.mul(a,r),u=i.dataSync(),c=o.dataSync(),[l,f,p]=((e,t,n)=>m.tidy((()=>{const r=[];for(let n=0;n<t.length;n+=1)r.push([t[n],[e[4*n],e[4*n+1],e[4*n+2],e[4*n+3]],n]);const i=r.sort(((e,t)=>t[0]-e[0])),a=[];return i.forEach((e=>{let t=!0;for(let r=0;r<a.length;r+=1)if(sD(e[1],a[r][1])>n){t=!1;break}t&&a.push(e)})),[a.map((e=>e[2])),a.map((e=>e[1])),a.map((e=>e[0]))]})))(u,c,this.IOUThreshold),h=s.gather(m.tensor1d(l,"int32")).dataSync(),d=[];return h.forEach(((e,t)=>{const 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t=e.shape,n=t[0],r=t[1],i=t[2];return(0,OA.tidy)((function(){var t=(0,OA.reshape)(e,[n*r,i]),a=(0,OA.argMax)(t,0),o=(0,OA.expandDims)((0,OA.div)(a,(0,OA.scalar)(r,"int32")),1),s=(0,OA.expandDims)(function(e,t){return(0,OA.tidy)((function(){var n=(0,OA.div)(e,(0,OA.scalar)(t,"int32"));return(0,OA.sub)(e,(0,OA.mul)(n,(0,OA.scalar)(t,"int32")))}))}(a,r),1);return(0,OA.concat)([o,s],1)}))}(e),[4,Promise.all([e.buffer(),t.buffer(),i.buffer()])];case 1:return a=h.sent(),o=a[0],s=a[1],u=a[2],[4,(c=GD(u,n,s)).buffer()];case 2:return l=h.sent(),f=Array.from(function(e,t){for(var n=t.shape[0],r=new Float32Array(n),i=0;i<n;i++){var a=t.get(i,0),o=t.get(i,1);r[i]=e.get(a,o,i)}return r}(o,u)),p=f.map((function(e,t){return r+=e,{position:{y:l.get(t,0),x:l.get(t,1)},part:_D[t],score:e}})),i.dispose(),c.dispose(),[2,{keypoints:p,score:r/p.length}]}}))}))}var XD="https://storage.googleapis.com/tfjs-models/savedmodel/posenet/mobilenet/",YD="https://storage.googleapis.com/tfjs-models/savedmodel/posenet/resnet50/",JD=[-123.15,-115.9,-103.06],ZD=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return xD(t,e),t.prototype.preprocessInput=function(e){return(0,OA.add)(e,JD)},t.prototype.nameOutputResults=function(e){var t=e[0],n=e[1];return{offsets:e[2],heatmap:e[3],displacementFwd:t,displacementBwd:n}},t}(SD);function QD(e){return ED(this,void 0,void 0,(function(){return CD(this,(function(t){return[2,Promise.all(e.map((function(e){return e.buffer()})))]}))}))}function e_(e,t){return i_(e,t)?e:Math.floor(e/t)*t+1}function t_(e){OA.util.assert("number"==typeof e||"object"==typeof e,(function(){return"Invalid inputResolution "+e+". Should be a number or an object with width and height"})),"object"==typeof e&&(OA.util.assert("number"==typeof e.width,(function(){return"inputResolution.width has a value of "+e.width+" which is invalid; it must be a number"})),OA.util.assert("number"==typeof e.height,(function(){return"inputResolution.height has a value of "+e.height+" which is invalid; it must be a number"})))}function n_(e,t){return t_(e),"object"==typeof e?[e_(e.height,t),e_(e.width,t)]:[e_(e,t),e_(e,t)]}Number.NEGATIVE_INFINITY,Number.POSITIVE_INFINITY;var r_=[8,16,32];function i_(e,t){return(e-1)%t==0}function a_(e){return e instanceof OA.Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width]}function o_(e,t){var n=t[0],r=t[1],i=a_(e),a=i[0],o=i[1],s=r/n,u=[0,0,0,0],c=u[0],l=u[1],f=u[2],p=u[3];return o/a<s?(c=0,l=0,f=Math.round(.5*(s*a-o)),p=Math.round(.5*(s*a-o))):(c=Math.round(.5*(1/s*o-a)),l=Math.round(.5*(1/s*o-a)),f=0,p=0),{resized:(0,OA.tidy)((function(){var t=function(e){return e instanceof OA.Tensor?e:OA.browser.fromPixels(e)}(e);return t=(0,OA.pad3d)(t,[[c,l],[f,p],[0,0]]),OA.image.resizeBilinear(t,[n,r])})),padding:{top:c,left:f,right:p,bottom:l}}}function s_(e,t,n,r,i){var a=t[0],o=t[1],s=n[0],u=n[1],c=function(e,t,n,r,i){return void 0===r&&(r=0),void 0===i&&(i=0),1===n&&1===t&&0===r&&0===i?e:e.map((function(e){return function(e,t,n,r,i){return void 0===r&&(r=0),void 0===i&&(i=0),{score:e.score,keypoints:e.keypoints.map((function(e){var a=e.score,o=e.part,s=e.position;return{score:a,part:o,position:{x:s.x*n+i,y:s.y*t+r}}}))}}(e,t,n,r,i)}))}(e,(a+r.top+r.bottom)/s,(o+r.left+r.right)/u,-r.top,-r.left);return i?function(e,t){return t<=0?e:e.map((function(e){return function(e,t){return{score:e.score,keypoints:e.keypoints.map((function(e){var n=e.score,r=e.part,i=e.position;return{score:n,part:r,position:{x:t-1-i.x,y:i.y}}}))}}(e,t)}))}(c,o):c}var u_={architecture:"MobileNetV1",outputStride:16,multiplier:.75,inputResolution:257},c_=["MobileNetV1","ResNet50"],l_={MobileNetV1:[8,16,32],ResNet50:[32,16]},f_={MobileNetV1:[.5,.75,1],ResNet50:[1]},p_=[1,2,4],h_={flipHorizontal:!1},d_={flipHorizontal:!1,maxDetections:5,scoreThreshold:.5,nmsRadius:20},m_=function(){function e(e,t){(function(e){OA.util.assert("number"==typeof e,(function(){return"outputStride is not a number"})),OA.util.assert(r_.indexOf(e)>=0,(function(){return"outputStride of "+e+" is invalid. It must be either 8, 16, or 32"}))})(e.outputStride),function(e,t){OA.util.assert("number"==typeof e[0]&&"number"==typeof e[1],(function(){return"both resolution values must be a number but had values "+e})),OA.util.assert(i_(e[0],t),(function(){return"height of "+e[0]+" is invalid for output stride "+t+"."})),OA.util.assert(i_(e[1],t),(function(){return"width of "+e[1]+" is invalid for output stride "+t+"."}))}(t,e.outputStride),this.baseModel=e,this.inputResolution=t}return e.prototype.estimateMultiplePoses=function(e,t){return void 0===t&&(t=d_),ED(this,void 0,void 0,(function(){var n,r,i,a,o,s,u,c,l,f,p,h,d,m,g,v,y,b,x,w,E;return CD(this,(function(C){switch(C.label){case 0:return n=wD({},d_,t),function(e){var t=e.maxDetections,n=e.scoreThreshold,r=e.nmsRadius;if(t<=0)throw new Error("Invalid maxDetections "+t+". Should be > 0");if(n<0||n>1)throw new Error("Invalid scoreThreshold "+n+". Should be in range [0.0, 1.0]");if(r<=0)throw new Error("Invalid nmsRadius "+r+".")}(t),r=this.baseModel.outputStride,i=this.inputResolution,a=a_(e),o=a[0],s=a[1],u=o_(e,i),c=u.resized,l=u.padding,f=this.baseModel.predict(c),p=f.heatmapScores,h=f.offsets,d=f.displacementFwd,m=f.displacementBwd,[4,QD([p,h,d,m])];case 1:return g=C.sent(),v=g[0],y=g[1],b=g[2],x=g[3],[4,$D(v,y,b,x,r,n.maxDetections,n.scoreThreshold,n.nmsRadius)];case 2:return w=C.sent(),E=s_(w,[o,s],i,l,n.flipHorizontal),p.dispose(),h.dispose(),d.dispose(),m.dispose(),c.dispose(),[2,E]}}))}))},e.prototype.estimateSinglePose=function(e,t){return void 0===t&&(t=h_),ED(this,void 0,void 0,(function(){var n,r,i,a,o,s,u,c,l,f,p,h,d,m,g,v;return CD(this,(function(y){switch(y.label){case 0:return n=wD({},h_,t),r=this.baseModel.outputStride,i=this.inputResolution,a=a_(e),o=a[0],s=a[1],u=o_(e,i),c=u.resized,l=u.padding,f=this.baseModel.predict(c),p=f.heatmapScores,h=f.offsets,d=f.displacementFwd,m=f.displacementBwd,[4,KD(p,h,r)];case 1:return g=y.sent(),v=s_([g],[o,s],i,l,n.flipHorizontal),p.dispose(),h.dispose(),d.dispose(),m.dispose(),c.dispose(),[2,v[0]]}}))}))},e.prototype.estimatePoses=function(e,t){return ED(this,void 0,void 0,(function(){return CD(this,(function(n){switch(n.label){case 0:return"single-person"!==t.decodingMethod?[3,2]:[4,this.estimateSinglePose(e,t)];case 1:return[2,[n.sent()]];case 2:return[2,this.estimateMultiplePoses(e,t)]}}))}))},e.prototype.dispose=function(){this.baseModel.dispose()},e}();function g_(e){return ED(this,void 0,void 0,(function(){var t,n,r,i,a,o,s;return CD(this,(function(u){switch(u.label){case 0:if(t=e.outputStride,n=e.quantBytes,r=e.multiplier,null==OA)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this\n        model.");return i=function(e,t,n){var r={1:"100",.75:"075",.5:"050"},i="model-stride"+e+".json";return 4===n?XD+"float/"+r[t]+"/"+i:XD+"quant"+n+"/"+r[t]+"/"+i}(t,r,n),[4,(0,TA.loadGraphModel)(e.modelUrl||i)];case 1:return a=u.sent(),o=new ND(a,t),s=n_(e.inputResolution,o.outputStride),[2,new m_(o,s)]}}))}))}function v_(e){return ED(this,void 0,void 0,(function(){var t,n,r,i,a,o;return CD(this,(function(s){switch(s.label){case 0:if(t=e.outputStride,n=e.quantBytes,null==OA)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this\n        model.");return r=function(e,t){var n="model-stride"+e+".json";return 4===t?YD+"float/"+n:YD+"quant"+t+"/"+n}(t,n),[4,(0,TA.loadGraphModel)(e.modelUrl||r)];case 1:return i=s.sent(),a=new ZD(i,t),o=n_(e.inputResolution,a.outputStride),[2,new m_(a,o)]}}))}))}class y_ extends(yD()){constructor(e,t,n,r){super(),this.video=e,this.modelUrl=t.modelUrl||null,this.architecture=t.architecture||"MobileNetV1",this.detectionType=n||t.detectionType||"multiple",this.outputStride=t.outputStride||16,this.flipHorizontal=t.flipHorizontal||false,this.scoreThreshold=t.scoreThreshold||.5,this.minConfidence=t.minConfidence||.5,this.maxPoseDetections=t.maxPoseDetections||5,this.multiplier=t.multiplier||.75,this.inputResolution=t.inputResolution||256,this.quantBytes=t.quantBytes||2,this.nmsRadius=t.nmsRadius||20,this.ready=kA(this.load(),r)}async load(){let e;return e="mobilenetv1"===this.architecture.toLowerCase()?{architecture:this.architecture,outputStride:this.outputStride,inputResolution:this.inputResolution,multiplier:this.multiplier,quantBytes:this.quantBytes,modelUrl:this.modelUrl}:{architecture:this.architecture,outputStride:this.outputStride,inputResolution:this.inputResolution,quantBytes:this.quantBytes},this.net=await function(e){return void 0===e&&(e=u_),ED(this,void 0,void 0,(function(){return CD(this,(function(t){return"ResNet50"===(e=function(e){if(null==(e=e||u_).architecture&&(e.architecture="MobileNetV1"),c_.indexOf(e.architecture)<0)throw new Error("Invalid architecture "+e.architecture+". Should be one of "+c_);if(null==e.inputResolution&&(e.inputResolution=257),t_(e.inputResolution),null==e.outputStride&&(e.outputStride=16),l_[e.architecture].indexOf(e.outputStride)<0)throw new Error("Invalid outputStride "+e.outputStride+". Should be one of "+l_[e.architecture]+" for architecture "+e.architecture+".");if(null==e.multiplier&&(e.multiplier=1),f_[e.architecture].indexOf(e.multiplier)<0)throw new Error("Invalid multiplier "+e.multiplier+". Should be one of "+f_[e.architecture]+" for architecture "+e.architecture+".");if(null==e.quantBytes&&(e.quantBytes=4),p_.indexOf(e.quantBytes)<0)throw new Error("Invalid quantBytes "+e.quantBytes+". Should be one of "+p_+" for architecture "+e.architecture+".");if("MobileNetV1"===e.architecture&&32===e.outputStride&&1!==e.multiplier)throw new Error("When using an output stride of 32, you must select 1 as the multiplier.");return e}(e)).architecture?[2,v_(e)]:"MobileNetV1"===e.architecture?[2,g_(e)]:[2,null]}))}))}(e),this.video&&(0===this.video.readyState&&await new Promise((e=>{this.video.onloadeddata=()=>e()})),"single"===this.detectionType?this.singlePose():this.multiPose()),this}skeleton(e,t=this.minConfidence){return function(e,t){return OD.reduce((function(n,r){var i=r[0],a=r[1];return function(e,t,n){return e<n||t<n}(e[i].score,e[a].score,t)||n.push([e[i],e[a]]),n}),[])}(e,t)}mapParts(e){const t=JSON.parse(JSON.stringify(e));return t.keypoints.forEach((e=>{t[e.part]={x:e.position.x,y:e.position.y,confidence:e.score}})),t}getInput(e){let t;return t=e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof ImageData)?e.elt:"object"==typeof e&&e.canvas instanceof HTMLCanvasElement?e.canvas:this.video,t}async singlePose(e,t){const n=this.getInput(e),r=await this.net.estimateSinglePose(n,{flipHorizontal:this.flipHorizontal}),i=[{pose:this.mapParts(r),skeleton:this.skeleton(r.keypoints)}];return this.emit("pose",i),this.video?m.nextFrame().then((()=>this.singlePose())):("function"==typeof t&&t(i),i)}async multiPose(e,t){const n=this.getInput(e),r=(await this.net.estimateMultiplePoses(n,{flipHorizontal:this.flipHorizontal,maxDetections:this.maxPoseDetections,scoreThreshold:this.scoreThreshold,nmsRadius:this.nmsRadius})).map((e=>this.mapParts(e))).map((e=>({pose:e,skeleton:this.skeleton(e.keypoints)})));return this.emit("pose",r),this.video?m.nextFrame().then((()=>this.multiPose())):("function"==typeof t&&t(r),r)}}class b_{constructor(e){this.urlPath=e,"/"!==this.urlPath.charAt(this.urlPath.length-1)&&(this.urlPath+="/")}async loadManifest(){return new Promise(((e,t)=>{const n=new XMLHttpRequest;n.open("GET",this.urlPath+"manifest.json"),n.onload=()=>{this.checkpointManifest=JSON.parse(n.responseText),e()},n.onerror=e=>{throw t(),new Error(`manifest.json not found at ${this.urlPath}. ${e}`)},n.send()}))}async getCheckpointManifest(){return null==this.checkpointManifest&&await this.loadManifest(),this.checkpointManifest}async getAllVariables(){if(null!=this.variables)return Promise.resolve(this.variables);await this.getCheckpointManifest();const e=Object.keys(this.checkpointManifest),t=e.map((e=>this.getVariable(e)));return Promise.all(t).then((t=>{this.variables={};for(let n=0;n<t.length;n+=1)this.variables[e[n]]=t[n];return this.variables}))}getVariable(e){if(!(e in this.checkpointManifest))throw new Error(`Cannot load non-existent variable ${e}`);const t=t=>{const n=new XMLHttpRequest;n.responseType="arraybuffer";const r=this.checkpointManifest[e].filename;n.open("GET",this.urlPath+r),n.onload=()=>{if(404===n.status)throw new Error(`Not found variable ${e}`);const r=new Float32Array(n.response),i=m.tensor(r,this.checkpointManifest[e].shape);t(i)},n.onerror=t=>{throw new Error(`Could not fetch variable ${e}: ${t}`)},n.send()};return null==this.checkpointManifest?new Promise((e=>{this.loadManifest().then((()=>{new Promise(t).then(e)}))})):new Promise(t)}}const x_=e=>new Promise((t=>{const n=new Image(200,200);n.onload=()=>t(n),n.src=e.toDataURL()}));class w_ extends Zk{constructor(e,t,n){super(t,200),this.ready=!1,this.variableDictionary={},this.timesScalar=m.scalar(150),this.plusScalar=m.scalar(127.5),this.epsilonScalar=m.scalar(.001),this.video=null,this.ready=kA(this.load(e),n)}async load(e){return this.videoElt&&(await this.loadVideo(),this.videoReady=!0),await this.loadCheckpoints(e),this}async loadCheckpoints(e){const t=new b_(e);this.variables=await t.getAllVariables()}instanceNorm(e,t){return m.tidy((()=>{const[n,r,i]=e.shape,a=m.moments(e,[0,1]),o=a.mean,s=a.variance,u=this.variables[w_.getVariableName(t)],c=this.variables[w_.getVariableName(t+1)],l=this.epsilonScalar,f=m.div(m.sub(e.asType("float32"),o),m.sqrt(m.add(s,l)));return m.add(m.mul(c,f),u).as3D(n,r,i)}))}convLayer(e,t,n,r){const i=m.conv2d(e,this.variables[w_.getVariableName(r)],[t,t],"same"),a=this.instanceNorm(i,r+1);return n?m.relu(a):a}residualBlock(e,t){const n=this.convLayer(e,1,!0,t),r=this.convLayer(n,1,!1,t+3);return m.add(r,e)}convTransposeLayer(e,t,n,r){const[i,a]=e.shape,o=[i*n,a*n,t],s=m.conv2dTranspose(e,this.variables[w_.getVariableName(r)],o,[n,n],"same"),u=this.instanceNorm(s,r+1);return m.relu(u)}async transfer(e,t){let n,r=t;return e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof ImageData?n=e:e instanceof HTMLCanvasElement?n=await x_(e):"object"==typeof e&&e.elt instanceof HTMLCanvasElement?n=await x_(e.elt):"object"==typeof e&&(e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLImageElement||e.elt instanceof ImageData)?n=e.elt:"function"==typeof e&&(n=this.video,r=e),kA(this.transferInternal(n),r)}async transferInternal(e){const t=m.browser.fromPixels(e),n=QA(m.tidy((()=>{const e=this.convLayer(t,1,!0,0),n=this.convLayer(e,2,!0,3),r=this.convLayer(n,2,!0,6),i=this.residualBlock(r,9),a=this.residualBlock(i,15),o=this.residualBlock(a,21),s=this.residualBlock(o,27),u=this.residualBlock(s,33),c=this.convTransposeLayer(u,64,2,39),l=this.convTransposeLayer(c,32,2,42),f=this.convLayer(l,1,!1,45),p=m.tanh(f),h=m.mul(this.timesScalar,p),d=m.add(this.plusScalar,h),g=m.clipByValue(d,0,255);return m.div(g,m.scalar(255))})));return t.dispose(),await m.nextFrame(),n}static getVariableName(e){return 0===e?"Variable":`Variable_${e}`}}const E_=e=>{const t=Math.random();let n,r=0;for(let i=0;i<e.length;i+=1)if(r+=e[i],t<r){n=i;break}return n},C_=/cell_[0-9]|lstm_[0-9]/gi,S_=/weights|weight|kernel|kernels|w/gi,N_=/softmax/gi;class A_{constructor(e,t){this.ready=!1,this.model={},this.cellsAmount=0,this.cells=[],this.zeroState={c:[],h:[]},this.state={c:[],h:[]},this.vocab={},this.vocabSize=0,this.probabilities=[],this.defaults={seed:"a",length:20,temperature:.5,stateful:!1},this.ready=kA(this.loadCheckpoints(e),t)}resetState(){this.state=this.zeroState}setState(e){this.state=e}getState(){return this.state}async loadCheckpoints(e){const t=new b_(e),n=await t.getAllVariables();return Object.keys(n).forEach((e=>{e.match(C_)?e.match(S_)?(this.model[`Kernel_${e.match(/[0-9]/)[0]}`]=n[e],this.cellsAmount+=1):this.model[`Bias_${e.match(/[0-9]/)[0]}`]=n[e]:e.match(N_)?e.match(S_)?this.model.fullyConnectedWeights=n[e]:this.model.fullyConnectedBiases=n[e]:this.model[e]=n[e]})),await this.loadVocab(e),await this.initCells(),this}async loadVocab(e){try{const{data:t}=await MA().get(`${e}/vocab.json`);return this.vocab=t,this.vocabSize=Object.keys(t).length,this.vocab}catch(e){return e}}async initCells(){this.cells=[],this.zeroState={c:[],h:[]};const e=m.tensor(1),t=t=>(n,r,i)=>m.basicLSTMCell(e,this.model[`Kernel_${t}`],this.model[`Bias_${t}`],n,r,i);for(let e=0;e<this.cellsAmount;e+=1)this.zeroState.c.push(m.zeros([1,this.model[`Bias_${e}`].shape[0]/4])),this.zeroState.h.push(m.zeros([1,this.model[`Bias_${e}`].shape[0]/4])),this.cells.push(t(e));this.state=this.zeroState}async generateInternal(e){await this.ready;const t=e.seed||this.defaults.seed,n=+e.length||this.defaults.length,r=+e.temperature||this.defaults.temperature;e.stateful||this.defaults.stateful||(this.state=this.zeroState);const i=[],a=Array.from(t),o=[];a.forEach((e=>{o.push(this.vocab[e])}));let s=o[0],u=[];for(let e=0;e<a.length+n+-1;e+=1){const t=await m.buffer([1,this.vocabSize]);t.set(1,0,s);const n=t.toTensor();let c;if(this.model.embedding){const e=m.matMul(n,this.model.embedding);c=m.multiRNNCell(this.cells,e,this.state.c,this.state.h)}else c=m.multiRNNCell(this.cells,n,this.state.c,this.state.h);this.state.c=c[0],this.state.h=c[1];const l=this.state.h[1],f=m.matMul(l,this.model.fullyConnectedWeights),p=m.add(f,this.model.fullyConnectedBiases),h=m.div(p,m.tensor(r)),d=m.exp(h);u=await m.div(d,m.sum(d)).data(),e<a.length-1?s=o[e+1]:(s=E_(u),i.push(s))}let c="";return i.forEach((e=>{const t=Object.keys(this.vocab).find((t=>this.vocab[t]===e));t&&(c+=t)})),this.probabilities=u,{sample:c,state:this.state}}reset(){this.state=this.zeroState}async generate(e,t){return this.reset(),kA(this.generateInternal(e),t)}async predict(e,t){let n=[];const r=e>0?e:.1,i=this.state.h[1],a=m.matMul(i,this.model.fullyConnectedWeights),o=m.add(a,this.model.fullyConnectedBiases),s=m.div(o,m.tensor(r)),u=m.exp(s);n=await m.div(u,m.sum(u)).data();const c=E_(n),l=Object.keys(this.vocab).find((e=>this.vocab[e]===c));this.probabilities=n,t&&t(l);const f=Object.keys(this.vocab).map((e=>({char:e,probability:this.probabilities[this.vocab[e]]})));return{sample:l,probabilities:f}}async feed(e,t){await this.ready;const n=Array.from(e),r=[];n.forEach((e=>{r.push(this.vocab[e])}));let i=r[0];for(let e=0;e<n.length;e+=1){const t=await m.buffer([1,this.vocabSize]);t.set(1,0,i);const n=t.toTensor();let a;if(this.model.embedding){const e=m.matMul(n,this.model.embedding);a=m.multiRNNCell(this.cells,e,this.state.c,this.state.h)}else a=m.multiRNNCell(this.cells,n,this.state.c,this.state.h);this.state.c=a[0],this.state.h=a[1],i=r[e]}t&&t()}}class k_{constructor(e){this.urlPath=e}getAllVariables(){return new Promise(((e,t)=>{const n={};if(this.urlPath in n)return void e(n[this.urlPath]);const r=new XMLHttpRequest;r.open("GET",this.urlPath,!0),r.responseType="arraybuffer",r.onload=()=>{if(200!==r.status)return void t(new Error("missing model"));const i=r.response;if(!i)return void t(new Error("invalid arraybuffer"));const a=[];let o=0;for(;o<i.byteLength;){const e=new Uint8Array(i.slice(o,o+4));o+=4;const t=(e[0]<<24)+(e[1]<<16)+(e[2]<<8)+e[3];a.push(i.slice(o,o+t)),o+=t}const s=JSON.parse(new TextDecoder("utf8").decode(a[0])),u=new Float32Array(a[1]),c=new Uint8Array(a[2]),l=new Float32Array(c.length);for(let e=0;e<l.length;e+=1)l[e]=u[c[e]];const f={};o=0;for(let e=0;e<s.length;e+=1){const{shape:t}=s[e],n=t.reduce(((e,t)=>e*t)),r=l.slice(o,o+n),i=m.tensor1d(r,"float32");f[s[e].name]=i.reshape(t),o+=n}n[this.urlPath]=f,e(f)},r.send(null)}))}}class D_{constructor(e,t){this.ready=kA(this.loadCheckpoints(e),t)}async loadCheckpoints(e){const t=new k_(e);return this.variables=await t.getAllVariables(),this}async transfer(e,t){return kA(this.transferInternal(e),t)}async transferInternal(e){const t=QA(m.tidy((()=>{const t=m.browser.fromPixels(e),n=t.dataSync(),r=m.tensor3d(n,t.shape),i=m.div(r,m.scalar(255)),a=D_.preprocess(i),o=[];let s=this.variables["generator/encoder_1/conv2d/kernel"],u=this.variables["generator/encoder_1/conv2d/bias"],c=D_.conv2d(a,s,u);o.push(c);for(let e=2;e<=8;e+=1){const t=`generator/encoder_${e.toString()}`;s=this.variables[`${t}/conv2d/kernel`];const n=this.variables[`${t}/conv2d/bias`],r=o[o.length-1],i=m.leakyRelu(r,.2);c=D_.conv2d(i,s,n);const a=this.variables[`${t}/batch_normalization/gamma`],u=this.variables[`${t}/batch_normalization/beta`],l=D_.batchnorm(c,a,u);o.push(l)}for(let e=8;e>=2;e-=1){let t;if(8===e)t=o[o.length-1];else{const n=e-1;t=m.concat([o[o.length-1],o[n]],2)}const n=m.relu(t),r=`generator/decoder_${e.toString()}`;s=this.variables[`${r}/conv2d_transpose/kernel`],u=this.variables[`${r}/conv2d_transpose/bias`],c=D_.deconv2d(n,s,u);const i=this.variables[`${r}/batch_normalization/gamma`],a=this.variables[`${r}/batch_normalization/beta`],l=D_.batchnorm(c,i,a);o.push(l)}const l=m.concat([o[o.length-1],o[0]],2);let f=m.relu(l);s=this.variables["generator/decoder_1/conv2d_transpose/kernel"];const p=this.variables["generator/decoder_1/conv2d_transpose/bias"];c=D_.deconv2d(f,s,p),f=m.tanh(c),o.push(f);const h=o[o.length-1];return D_.deprocess(h)})));return await m.nextFrame(),t}static preprocess(e){const t=m.tidy((()=>m.sub(m.mul(e,m.scalar(2)),m.scalar(1))));return e.dispose(),t}static deprocess(e){const t=m.tidy((()=>m.div(m.add(e,m.scalar(1)),m.scalar(2))));return e.dispose(),t}static batchnorm(e,t,n){const r=m.tidy((()=>{const r=m.moments(e,[0,1]);return m.batchNorm(e,r.mean,r.variance,n,t,1e-5)}));return e.dispose(),r}static conv2d(e,t){const n=t.clone(),r=m.tidy((()=>m.conv2d(e,n,[2,2],"same")));return e.dispose(),n.dispose(),r}static deconv2d(e,t,n){const r=m.tidy((()=>{const r=m.conv2dTranspose(e,t,[2*e.shape[0],2*e.shape[1],t.shape[2]],[2,2],"same");return m.add(r,n)}));return e.dispose(),t.dispose(),n.dispose(),r}}var __=n(6240);const M_=new Set(["alarm_clock","ambulance","angel","ant","antyoga","backpack","barn","basket","bear","bee","beeflower","bicycle","bird","book","brain","bridge","bulldozer","bus","butterfly","cactus","calendar","castle","cat","catbus","catpig","chair","couch","crab","crabchair","crabrabbitfacepig","cruise_ship","diving_board","dog","dogbunny","dolphin","duck","elephant","elephantpig","eye","face","fan","fire_hydrant","firetruck","flamingo","flower","floweryoga","frog","frogsofa","garden","hand","hedgeberry","hedgehog","helicopter","kangaroo","key","lantern","lighthouse","lion","lionsheep","lobster","map","mermaid","monapassport","monkey","mosquito","octopus","owl","paintbrush","palm_tree","parrot","passport","peas","penguin","pig","pigsheep","pineapple","pool","postcard","power_outlet","rabbit","rabbitturtle","radio","radioface","rain","rhinoceros","rifle","roller_coaster","sandwich","scorpion","sea_turtle","sheep","skull","snail","snowflake","speedboat","spider","squirrel","steak","stove","strawberry","swan","swing_set","the_mona_lisa","tiger","toothbrush","toothpaste","tractor","trombone","truck","whale","windmill","yoga","yogabicycle","everything"]);class T_{constructor(e,t,n=!0){let r=e;if(this.config={temperature:.65,pixelFactor:3,modelPath:"https://storage.googleapis.com/quickdraw-models/sketchRNN/large_models/",modelPath_small:"https://storage.googleapis.com/quickdraw-models/sketchRNN/models/",modelPath_large:"https://storage.googleapis.com/quickdraw-models/sketchRNN/models/",PATH_END:".gen.json"},!0===aD.isAbsoluteURL(r)){const e=aD.getModelPath(r);this.config.modelPath=e}else{if(!M_.has(r))return console.log("no model found!"),this;r=(n?this.config.modelPath:this.config.modelPath_small)+r+this.config.PATH_END,this.config.modelPath=r}this.model=new __.SketchRNN(this.config.modelPath),this.penState=this.model.zeroInput(),this.ready=kA(this.model.initialize(),t)}async generateInternal(e,t){const n=+e.temperature||this.config.temperature,r=+e.pixelFactor||this.config.pixelFactor;await this.ready,this.rnnState||(this.rnnState=this.model.zeroState(),this.model.setPixelFactor(r)),Array.isArray(t)&&t.length&&(this.rnnState=this.model.updateStrokes(t,this.rnnState)),this.rnnState=this.model.update(this.penState,this.rnnState);const i=this.model.getPDF(this.rnnState,n);this.penState=this.model.sample(i);const a={dx:this.penState[0],dy:this.penState[1]};return 1===this.penState[2]?a.pen="down":1===this.penState[3]?a.pen="up":1===this.penState[4]&&(a.pen="end"),a}async generate(e,t,n){let r,i,a;"function"==typeof e?(i={},a=[],r=e):Array.isArray(e)?(i={},a=e,r=t):"function"==typeof t?(i=e||{},a=[],r=t):(i=e||{},a=t||[],r=n);const o=a.map((e=>{const t="up"===e.pen?1:0,n="down"===e.pen?1:0,r="end"===e.pen?1:0;return[e.dx,e.dy,n,t,r]}));return kA(this.generateInternal(i,o),r)}reset(){this.penState=this.model.zeroInput(),this.rnnState&&(this.rnnState=this.model.zeroState())}}class O_{constructor(e,t,n){this.modelReady=!1,this.isPredicting=!1,this.config={modelPath:void 0!==t.modelPath?t.modelPath:"https://raw.githubusercontent.com/zaidalyafeai/HostedModels/master/unet-128/model.json",imageSize:void 0!==t.imageSize?t.imageSize:128,returnTensors:void 0!==t.returnTensors&&t.returnTensors},this.ready=kA(this.loadModel(),n)}async loadModel(){return this.model=await m.loadLayersModel(this.config.modelPath),this.modelReady=!0,this}async segment(e,t){let n;await this.ready;let r=t;return e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?n=e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData)?n=e.elt:"function"==typeof e&&(n=this.video,r=e),kA(this.segmentInternal(n),r)}static dataURLtoBlob(e){const t=e.split(","),n=t[0].match(/:(.*?);/)[1],r=atob(t[1]);let i=r.length;const a=new Uint8Array(i);for(;i;)a[i]=r.charCodeAt(i),i-=1;return new Blob([a],{type:n})}async convertToP5Image(e){const t=await JA.rawToBlob(e,this.config.imageSize,this.config.imageSize);return await JA.blobToP5Image(t)}async segmentInternal(e){await this.ready,e instanceof HTMLVideoElement&&await m.nextFrame(),this.isPredicting=!0;const{featureMask:t,backgroundMask:n,segmentation:r}=m.tidy((()=>{const t=m.browser.fromPixels(e).toFloat();let n=m.image.resizeBilinear(t,[this.config.imageSize,this.config.imageSize]).div(m.scalar(255));const r=n.expandDims(0),i=this.model.predict(r),a=m.ones([128,128,1]).tile([1,1,1]);n=n.concat(a,2);let o=i.squeeze([0]);o=o.tile([1,1,4]),o=o.sub(.3).sign().relu().neg().add(1);const s=o.mul(n);let u=i.squeeze([0]);u=u.tile([1,1,4]),u=u.sub(.3).sign().relu();const c=u.mul(n),l=m.ones([128,128,1]).tile([1,1,1]).mul(255);let f=i.squeeze([0]);return f=m.cast(f.tile([1,1,3]).sub(.3).sign().relu().mul(255),"int32"),f=f.concat(l,2),{featureMask:s,backgroundMask:c,segmentation:f}}));this.isPredicting=!1;const i=await m.browser.toPixels(t),a=await m.browser.toPixels(n),o=await m.browser.toPixels(r),s=QA(t),u=QA(n),c=O_.dataURLtoBlob(s.src),l=O_.dataURLtoBlob(u.src);let f,p,h;return JA.checkP5()&&(f=await this.convertToP5Image(i),p=await this.convertToP5Image(a),h=await this.convertToP5Image(o)),this.config.returnTensors||(t.dispose(),n.dispose(),r.dispose()),{segmentation:o,blob:{featureMask:c,backgroundMask:l},tensor:{featureMask:t,backgroundMask:n},raw:{featureMask:i,backgroundMask:a},featureMask:f,backgroundMask:p,mask:h}}}class I_{constructor(e,t){this.ready=!1,this.model={},this.latentDim=m.randomUniform([1,16]),this.modelPath=e,this.modelPathPrefix="",this.jsonLoader().then((e=>{this.modelPathPrefix=this.modelPath.split("manifest.json")[0],this.ready=kA(this.loadCVAEModel(this.modelPathPrefix+e.model),t),this.labels=e.labels,this.labelVector=Array(this.labels.length+1).fill(0)}))}async loadCVAEModel(e){return this.model=await m.loadLayersModel(e),this}async generate(e,t){return kA(this.generateInternal(e),t)}loadAsync(e){return new Promise(((t,n)=>{this.ready||n(),loadImage(e,(e=>{t(e)}))}))}getBlob(e){return new Promise(((t,n)=>{this.ready||n(),e.toBlob((e=>{t(e)}))}))}async generateInternal(e){const t=m.tidy((()=>{this.latentDim=m.randomUniform([1,16]);const t=this.labels.indexOf(e);if(t<0)return console.log("Wrong input of the label!"),[void 0,void 0];this.labelVector=this.labelVector.map((()=>0)),this.labelVector[t+1]=1;const n=m.tensor([this.labelVector]),r=this.model.predict([this.latentDim,n]);return r.reshape([r.shape[1],r.shape[2],r.shape[3]])})),n=await m.browser.toPixels(t);t.dispose();const r=document.createElement("canvas"),i=r.getContext("2d"),[a,o]=t.shape;r.width=a,r.height=o;const s=i.createImageData(a,o),u=s.data;for(let e=0;e<a*o*4;e+=1)u[e]=n[e];i.putImageData(s,0,0);const c=URL.createObjectURL(await this.getBlob(r));let l;return JA.checkP5()&&(l=await this.loadAsync(c)),{src:c,raws:n,image:l}}async jsonLoader(){return new Promise(((e,t)=>{const n=new XMLHttpRequest;n.open("GET",this.modelPath),n.onload=()=>{const t=JSON.parse(n.responseText);e(t)},n.onerror=e=>{t(e)},n.send()}))}}class F_{constructor(e,t,n){this.model={},this.modelPath=e,this.modelInfo={},this.modelPathPrefix="",this.modelReady=!1,this.config={returnTensors:t.returnTensors||!1},this.ready=kA(this.loadModel(),n)}async loadModel(){const e=(await MA().get(this.modelPath)).data;this.modelInfo=e;const[t]=this.modelPath.split("manifest.json"),n=this.isAbsoluteURL(t)?this.modelInfo.model:this.modelPathPrefix+this.modelInfo.model;return this.model=await m.loadLayersModel(n),this.modelReady=!0,this}async generate(e,t){return await this.ready,kA(this.generateInternal(t),e)}async compute(e,t){const n=m.tidy((()=>{let n;if(!1===Array.isArray(t))n=m.randomNormal([1,e]);else{const r=m.buffer([1,e]);for(let n=0;n<e;n+=1)r.set(t[n],0,n);n=r.toTensor()}return this.model.predict(n).squeeze().transpose([1,2,0]).div(m.scalar(2)).add(m.scalar(.5))}));return n}async generateInternal(e){const{modelLatentDim:t}=this.modelInfo,n=await this.compute(t,e),r=await m.browser.toPixels(n),[i,a]=n.shape,o=await JA.rawToBlob(r,a,i);let s;JA.checkP5()&&(s=await JA.blobToP5Image(o));const u={};return u.blob=o,u.raw=r,JA.checkP5()&&(u.image=s),this.config.returnTensors?u.tensor=n:(u.tensor=null,n.dispose()),u}isAbsoluteURL(e){return!!new RegExp("^(?:[a-z]+:)?//","i").test(e)}}const R_="0.8.0";class B_{constructor(e,t){this.ready=kA(this.loadModel(e),t)}async loadModel(e){const t={model:null,metadata:null};if("moviereviews"===e.toLowerCase())t.model="https://storage.googleapis.com/tfjs-models/tfjs/sentiment_cnn_v1/model.json",t.metadata="https://storage.googleapis.com/tfjs-models/tfjs/sentiment_cnn_v1/metadata.json";else{if(!0!==aD.isAbsoluteURL(e))return console.error("problem loading model"),this;{const n=aD.getModelPath(e);t.model=`${n}/model.json`,t.metadata=`${n}/metadata.json`}}this.model=await m.loadLayersModel(t.model);const n=(await MA().get(t.metadata)).data;return this.indexFrom=n.index_from,this.maxLen=n.max_len,this.wordIndex=n.word_index,this.vocabularySize=n.vocabulary_size,this}predict(e){const t=function(e,t,n="pre",r="pre",i=0){return e.map((e=>{if(e.length>t&&("pre"===r?e.splice(0,e.length-t):e.splice(t,e.length-t)),e.length<t){const r=[];for(let n=0;n<t-e.length;n+=1)r.push(i);e="pre"===n?r.concat(e):e.concat(r)}return e}))}([e.trim().toLowerCase().replace(/[.,?!]/g,"").split(" ").map((e=>{let t=this.wordIndex[e]+this.indexFrom;return t>this.vocabularySize&&(t=2),t}))],this.maxLen),n=m.tensor2d(t,[1,this.maxLen]),r=this.model.predict(n),i=r.dataSync()[0];return r.dispose(),n.dispose(),{score:i}}}function z_(e,t,n,r){return new(n||(n=Promise))((function(i,a){function o(e){try{u(r.next(e))}catch(e){a(e)}}function s(e){try{u(r.throw(e))}catch(e){a(e)}}function u(e){e.done?i(e.value):new n((function(t){t(e.value)})).then(o,s)}u((r=r.apply(e,t||[])).next())}))}function P_(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var L_=[["conv2d",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1]],j_=[8,16,32];function U_(e){OA.util.assert("number"==typeof e,(function(){return"outputStride is not a number"})),OA.util.assert(j_.indexOf(e)>=0,(function(){return"outputStride of "+e+" is invalid. It must be either 8, 16, or 32"}))}var q_={100:[["conv2d",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",2],["separableConv",1]],75:[["conv2d",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",2],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1],["separableConv",1]],50:L_,25:L_},W_=function(){function e(e,t){this.PREPROCESS_DIVISOR=(0,OA.scalar)(127.5),this.ONE=(0,OA.scalar)(1),this.modelWeights=e,this.convolutionDefinitions=t}return e.prototype.predict=function(e,t){var n=this,r=(0,OA.div)(e.toFloat(),this.PREPROCESS_DIVISOR),i=(0,OA.sub)(r,this.ONE);return function(e,t){var n=1,r=1;return e.map((function(e,i){var a,o,s=e[0],u=e[1];return n===t?(a=1,o=r,r*=u):(a=u,o=1,n*=u),{blockId:i,convType:s,stride:a,rate:o,outputStride:n}}))}(this.convolutionDefinitions,t).reduce((function(e,t){var r=t.blockId,i=t.stride,a=t.convType,o=t.rate;if("conv2d"===a)return n.conv(e,i,r);if("separableConv"===a)return n.separableConv(e,i,r,o);throw Error("Unknown conv type of "+a)}),i)},e.prototype.convToOutput=function(e,t){return e.conv2d(this.weights(t),1,"same").add(this.convBias(t,!1))},e.prototype.conv=function(e,t,n){var r=this.weights("Conv2d_"+String(n));return e.conv2d(r,t,"same").add(this.convBias("Conv2d_"+String(n))).clipByValue(0,6)},e.prototype.separableConv=function(e,t,n,r){void 0===r&&(r=1);var i="Conv2d_"+String(n)+"_depthwise",a="Conv2d_"+String(n)+"_pointwise";return e.depthwiseConv2D(this.depthwiseWeights(i),t,"same","NHWC",r).add(this.depthwiseBias(i)).clipByValue(0,6).conv2d(this.weights(a),[1,1],"same").add(this.convBias(a)).clipByValue(0,6)},e.prototype.weights=function(e){return this.modelWeights.weights(e)},e.prototype.convBias=function(e,t){return void 0===t&&(t=!0),this.modelWeights.convBias(e,t)},e.prototype.depthwiseBias=function(e){return this.modelWeights.depthwiseBias(e)},e.prototype.depthwiseWeights=function(e){return this.modelWeights.depthwiseWeights(e)},e.prototype.dispose=function(){this.modelWeights.dispose()},e}(),V_="https://storage.googleapis.com/tfjs-models/savedmodel/",$_={1:{url:V_+"posenet_mobilenet_100_partmap/",architecture:q_[100]},.75:{url:V_+"posenet_mobilenet_075_partmap/",architecture:q_[75]},.5:{url:V_+"posenet_mobilenet_050_partmap/",architecture:q_[50]},.25:{url:V_+"posenet_mobilenet_025_partmap/",architecture:q_[25]}};function H_(e,t){return(0,OA.tidy)((function(){return e.greater((0,OA.scalar)(t)).toInt()}))}var G_=function(){function e(e){this.graphModel=e}return e.prototype.weights=function(e){return this.getVariable("MobilenetV1/"+e+"/weights")},e.prototype.convBias=function(e,t){return void 0===t&&(t=!0),this.getVariable("MobilenetV1/"+e+"/Conv2D_bias")},e.prototype.depthwiseBias=function(e){return this.getVariable("MobilenetV1/"+e+"/depthwise_bias")},e.prototype.depthwiseWeights=function(e){return this.getVariable("MobilenetV1/"+e+"/depthwise_weights")},e.prototype.getVariable=function(e){return this.graphModel.weights[""+e][0]},e.prototype.dispose=function(){this.graphModel.dispose()},e}();function K_(e){return e instanceof OA.Tensor?e:OA.browser.fromPixels(e)}function X_(e,t,n){var r=t[0],i=t[1];void 0===n&&(n=!1);var a,o,s,u,c,l,f=e.shape,p=f[0],h=f[1]/p;if(h>i/r){a=i;var d=r-(o=Math.ceil(a/h));s=0,u=0,c=Math.floor(d/2),l=r-(o+c)}else{o=r;var m=i-(a=Math.ceil(r*h));s=Math.floor(m/2),u=i-(a+s),c=0,l=0}return{resizedAndPadded:(0,OA.tidy)((function(){var t;return t=n?e.reverse(1).resizeBilinear([o,a]):e.resizeBilinear([o,a]),(0,OA.pad3d)(t,[[c,l],[s,u],[0,0]])})),paddedBy:[[c,l],[s,u]]}}function Y_(e,t,n,r){var i=t[0],a=t[1],o=n[0],s=n[1],u=r[0],c=u[0],l=u[1],f=r[1],p=f[0],h=f[1];return(0,OA.tidy)((function(){return function(e,t,n){var r=t[0],i=t[1],a=n[0],o=a[0],s=a[1],u=n[1],c=u[0],l=u[1],f=e.shape,p=f[0],h=f[1],d=p-(o+s),m=h-(c+l);return(0,OA.tidy)((function(){return(0,OA.slice3d)(e,[o,c,0],[d,m,e.shape[2]]).resizeBilinear([r,i],!0)}))}(e.resizeBilinear([o,s],!0),[i,a],[[c,l],[p,h]])}))}var J_=[353,257],Z_=function(){function e(e){this.mobileNet=e}return e.prototype.predictForSegmentation=function(e,t){var n=this;return void 0===t&&(t=16),U_(t),(0,OA.tidy)((function(){var r=n.mobileNet.predict(e,t);return n.mobileNet.convToOutput(r,"segment_2").sigmoid()}))},e.prototype.predictForPartMap=function(e,t){var n=this;return void 0===t&&(t=16),U_(t),(0,OA.tidy)((function(){var r=n.mobileNet.predict(e,t),i=n.mobileNet.convToOutput(r,"segment_2"),a=n.mobileNet.convToOutput(r,"part_heatmap_2");return{segmentScores:i.sigmoid(),partHeatmapScores:a.sigmoid()}}))},e.prototype.estimatePersonSegmentationActivation=function(e,t,n){var r=this;return void 0===t&&(t=16),void 0===n&&(n=.5),U_(t),(0,OA.tidy)((function(){var i=K_(e),a=X_(i,J_),o=a.resizedAndPadded,s=a.paddedBy,u=r.predictForSegmentation(o,t),c=o.shape,l=c[0],f=c[1],p=i.shape;return H_(Y_(u,[p[0],p[1]],[l,f],s).squeeze(),n)}))},e.prototype.estimatePersonSegmentation=function(e,t,n){return void 0===t&&(t=16),void 0===n&&(n=.5),z_(this,void 0,void 0,(function(){var r,i,a,o,s;return P_(this,(function(u){switch(u.label){case 0:return r=this.estimatePersonSegmentationActivation(e,t,n),i=r.shape,a=i[0],o=i[1],[4,r.data()];case 1:return s=u.sent(),r.dispose(),[2,{height:a,width:o,data:s}]}}))}))},e.prototype.estimatePartSegmentationActivation=function(e,t,n){var r=this;return void 0===t&&(t=16),void 0===n&&(n=.5),U_(t),(0,OA.tidy)((function(){var i=K_(e),a=X_(i,J_),o=a.resizedAndPadded,s=a.paddedBy,u=r.predictForPartMap(o,t),c=u.segmentScores,l=u.partHeatmapScores,f=o.shape,p=f[0],h=f[1],d=i.shape,m=d[0],g=d[1],v=Y_(c,[m,g],[p,h],s),y=Y_(l,[m,g],[p,h],s);return function(e,t){var n=t.shape,r=n[0],i=n[1],a=n[2];return(0,OA.tidy)((function(){var n=function(e){var t=e.shape[2],n=e.argMax(2).reshape([-1]);return(0,OA.oneHot)(n,t)}(t),o=(0,OA.range)(0,a,1,"int32").expandDims(1);return function(e,t){return e.mul(t)}(n.matMul(o).toInt().reshape([r,i]).add((0,OA.scalar)(1,"int32")),e).sub((0,OA.scalar)(1,"int32"))}))}(H_(v.squeeze(),n),y)}))},e.prototype.estimatePartSegmentation=function(e,t,n){return void 0===t&&(t=16),void 0===n&&(n=.5),z_(this,void 0,void 0,(function(){var r,i,a,o,s;return P_(this,(function(u){switch(u.label){case 0:return r=this.estimatePartSegmentationActivation(e,t,n),i=r.shape,a=i[0],o=i[1],[4,r.data()];case 1:return s=u.sent(),r.dispose(),[2,{height:a,width:o,data:s}]}}))}))},e.prototype.dispose=function(){this.mobileNet.dispose()},e}(),Q_=function(e){return z_(void 0,void 0,void 0,(function(){var t,n,r,i;return P_(this,(function(a){switch(a.label){case 0:return n=(t=$_[e]).url,[4,(0,TA.loadGraphModel)(n+"model.json")];case 1:return r=a.sent(),i=new G_(r),[2,new W_(i,t.architecture)]}}))}))};function eM(e,t){void 0===t&&(t=!0);for(var n=e.width,r=e.height,i=e.data,a=new Uint8ClampedArray(n*r*4),o=0;o<r*n;++o){var s=255*(t?1-i[o]:i[o]),u=4*o;a[u+0]=0,a[u+1]=0,a[u+2]=0,a[u+3]=Math.round(s)}return new ImageData(a,n,r)}const tM={multiplier:.75,outputStride:16,segmentationThreshold:.5,palette:{leftFace:{id:0,color:[110,64,170]},rightFace:{id:1,color:[106,72,183]},rightUpperLegFront:{id:2,color:[100,81,196]},rightLowerLegBack:{id:3,color:[92,91,206]},rightUpperLegBack:{id:4,color:[84,101,214]},leftLowerLegFront:{id:5,color:[75,113,221]},leftUpperLegFront:{id:6,color:[66,125,224]},leftUpperLegBack:{id:7,color:[56,138,226]},leftLowerLegBack:{id:8,color:[48,150,224]},rightFeet:{id:9,color:[40,163,220]},rightLowerLegFront:{id:10,color:[33,176,214]},leftFeet:{id:11,color:[29,188,205]},torsoFront:{id:12,color:[26,199,194]},torsoBack:{id:13,color:[26,210,182]},rightUpperArmFront:{id:14,color:[28,219,169]},rightUpperArmBack:{id:15,color:[33,227,155]},rightLowerArmBack:{id:16,color:[41,234,141]},leftLowerArmFront:{id:17,color:[51,240,128]},leftUpperArmFront:{id:18,color:[64,243,116]},leftUpperArmBack:{id:19,color:[79,246,105]},leftLowerArmBack:{id:20,color:[96,247,97]},rightHand:{id:21,color:[115,246,91]},rightLowerArmFront:{id:22,color:[134,245,88]},leftHand:{id:23,color:[155,243,88]}},returnTensors:!1};class nM{constructor(e,t,n){this.video=e,this.model=null,this.modelReady=!1,this.modelPath="",this.config={multiplier:t.multiplier||tM.multiplier,outputStride:t.outputStride||tM.outputStride,segmentationThreshold:t.segmentationThreshold||tM.segmentationThreshold,palette:t.palette||tM.palette,returnTensors:t.returnTensors||tM.returnTensors},this.ready=kA(this.loadModel(),n)}async loadModel(){return this.model=await function(e){return void 0===e&&(e=.75),z_(this,void 0,void 0,(function(){var t,n;return P_(this,(function(r){switch(r.label){case 0:if(null==OA)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.");return t=Object.keys($_),OA.util.assert("number"==typeof e,(function(){return"got multiplier type of "+typeof e+" when it should be a number."})),OA.util.assert(t.indexOf(e.toString())>=0,(function(){return"invalid multiplier value of "+e+".  No checkpoint exists for that multiplier. Must be one of "+t.join(",")+"."})),[4,Q_(e)];case 1:return n=r.sent(),[2,new Z_(n)]}}))}))}(this.config.multiplier),this.modelReady=!0,this}p5Color2RGB(e){const t=/\(([^)]+)\)/.exec(e.toString("rgb")),[n,r,i]=t[1].split(",");return[n,r,i]}async convertToP5Image(e,t,n){const r=await JA.rawToBlob(e,t,n);return await JA.blobToP5Image(r)}bodyPartsSpec(e){const t=void 0!==e||Object.keys(e).length>=24?e:this.config.palette;return JA.checkP5()&&void 0!==t&&Object.keys(t).length>=24&&Object.keys(t).forEach((e=>{t[e].color instanceof window.p5.Color?t[e].color=this.p5Color2RGB(t[e].color):t[e].color=t[e].color})),t}async segmentWithPartsInternal(e,t){await this.ready,await m.nextFrame(),this.video&&0===this.video.readyState&&await new Promise((e=>{this.video.onloadeddata=()=>e()})),this.config.palette=t.palette||this.config.palette,this.config.outputStride=t.outputStride||this.config.outputStride,this.config.segmentationThreshold=t.segmentationThreshold||this.config.segmentationThreshold;const n=await this.model.estimatePartSegmentation(e,this.config.outputStride,this.config.segmentationThreshold),r=this.bodyPartsSpec(this.config.palette),i=Object.keys(r).map((e=>r[e].color)),a={segmentation:n,raw:{personMask:null,backgroundMask:null,partMask:null},tensor:{personMask:null,backgroundMask:null,partMask:null},personMask:null,backgroundMask:null,partMask:null,bodyParts:r};a.raw.backgroundMask=eM(n,!0),a.raw.personMask=eM(n,!1),a.raw.partMask=function(e,t){for(var n=e.width,r=e.height,i=e.data,a=new Uint8ClampedArray(n*r*4),o=0;o<r*n;++o){var s=Math.round(i[o]),u=4*o;if(-1===s)a[u+0]=255,a[u+1]=255,a[u+2]=255,a[u+3]=255;else{var c=t[s];if(!c)throw new Error("No color could be found for part id "+s);a[u+0]=c[0],a[u+1]=c[1],a[u+2]=c[2],a[u+3]=255}}return new ImageData(a,n,r)}(n,i);const{personMask:o,backgroundMask:s,partMask:u}=m.tidy((()=>{let t=m.browser.fromPixels(e);const r=m.ones([n.height,n.width,1]).tile([1,1,1]).mul(255);t=t.concat(r,2);let i=m.tensor(n.data,[n.height,n.width,1]),o=m.tensor(n.data,[n.height,n.width,1]),s=m.tensor([...a.raw.partMask.data],[n.height,n.width,4]);return i=m.cast(i.add(.2).sign().relu().mul(t),"int32"),o=m.cast(o.add(.2).sign().neg().relu().mul(t),"int32"),s=m.cast(s,"int32"),{personMask:i,backgroundMask:o,partMask:s}})),c=await m.browser.toPixels(o),l=await m.browser.toPixels(s),f=await m.browser.toPixels(u);return a.personMask=c,a.backgroundMask=l,a.partMask=f,JA.checkP5()&&(a.personMask=await this.convertToP5Image(c,n.width,n.height),a.backgroundMask=await this.convertToP5Image(l,n.width,n.height),a.partMask=await this.convertToP5Image(f,n.width,n.height)),this.config.returnTensors?(a.tensor.personMask=o,a.tensor.backgroundMask=s,a.tensor.partMask=u):(o.dispose(),s.dispose(),u.dispose()),a}async segmentWithParts(e,t,n){let r,i=this.video,a=this.config;if("function"==typeof e)i=this.video,r=e;else if(e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof HTMLVideoElement||e instanceof ImageData)i=e;else if("object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData))i=e.elt;else if("object"==typeof e&&e.canvas instanceof HTMLCanvasElement)i=e.canvas;else if("object"==typeof e&&e.elt instanceof HTMLVideoElement)i=e.elt;else if(!(this.video instanceof HTMLVideoElement))throw new Error("No input image provided. 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If you want to classify a video, pass the video element in the constructor. ");return"object"==typeof t?a=t:"function"==typeof t&&(r=t),"function"==typeof n&&(r=n),kA(this.segmentInternal(i,a),r)}}const rM=(e=0,t=1)=>Math.random()*(t-e)+e,iM=(e=0,t=1)=>{let n,r,i,a,o,s;if(s)n=r,s=!1;else{do{i=rM(0,2)-1,a=rM(0,2)-1,o=i*i+a*a}while(o>=1);o=Math.sqrt(-2*Math.log(o)/o),n=i*o,r=a*o,s=!0}return n*t+e};const aM=new class{constructor(e){this.options=e||{}}normalizeValue(e,t,n){return(e-t)/(n-t)}unnormalizeValue(e,t,n){return e*(n-t)+t}getMin(e){return e.reduce(((e,t)=>Math.min(e,t)))}getMax(e){return e.reduce(((e,t)=>Math.max(e,t)))}isJsonOrString(e){try{JSON.parse(e)}catch(e){return!1}return!0}zipArrays(e,t){return e.length!==t.length?(console.error("arrays do not have the same length"),[]):[...new Array(e.length).fill(null)].map(((n,r)=>({...e[r],...t[r]})))}createLabelsFromArrayValues(e,t){let n;return Array.isArray(e)&&(n=e.map(((e,n)=>`${t}_${n}`))),n}formatDataAsObject(e,t){let n={};if(Array.isArray(e))return e.forEach(((e,r)=>{const i=t[r];n[i]=e})),n;if("object"==typeof e)return n=e,n;throw new Error("input provided is not supported or does not match your output label specifications")}getDataType(e){let t=typeof e;return"object"===t&&Array.isArray(e)&&(t="array"),t}},oM={inputs:[],outputs:[],dataUrl:null,modelUrl:null,layers:[],task:null,debug:!1,learningRate:.2,hiddenUnits:16,noTraining:!1};class sM{constructor(e,t){this.callback=t,"imageClassification"===e.task&&(oM.learningRate=.02),this.options={...oM,...e}||oM,this.neuralNetwork=new class{constructor(){this.isTrained=!1,this.isCompiled=!1,this.isLayered=!1,this.model=null,this.init=this.init.bind(this),this.createModel=this.createModel.bind(this),this.addLayer=this.addLayer.bind(this),this.compile=this.compile.bind(this),this.setOptimizerFunction=this.setOptimizerFunction.bind(this),this.train=this.train.bind(this),this.trainInternal=this.trainInternal.bind(this),this.predict=this.predict.bind(this),this.classify=this.classify.bind(this),this.save=this.save.bind(this),this.load=this.load.bind(this),this.init()}init(){this.createModel()}createModel(e="sequential"){return e.toLowerCase(),this.model=m.sequential(),this.model}addLayer(e){const t=e||{};this.model.add(t),this.model.layers.length>=2&&(this.isLayered=!0)}compile(e){this.model.compile(e),this.isCompiled=!0}setOptimizerFunction(e,t){return t.call(this,e)}train(e,t){return kA(this.trainInternal(e),t)}async trainInternal(e){const t=e,n=t.inputs,r=t.outputs,{batchSize:i,epochs:a,shuffle:o,validationSplit:s,whileTraining:u}=t;await this.model.fit(n,r,{batchSize:i,epochs:a,shuffle:o,validationSplit:s,callbacks:u}),n.dispose(),r.dispose(),this.isTrained=!0}predictSync(e){const t=m.tidy((()=>this.model.predict(e))),n=t.arraySync();return t.dispose(),e.dispose(),n}async predict(e){const t=m.tidy((()=>this.model.predict(e))),n=await t.array();return t.dispose(),e.dispose(),n}async classify(e){return this.predict(e)}classifySync(e){return this.predictSync(e)}async save(e,t){let n,r;"function"==typeof e?(n="model",r=e):"string"==typeof e?(n=e,"function"==typeof t&&(r=t)):n="model",this.model.save(m.io.withSaveHandler((async e=>{this.weightsManifest={modelTopology:e.modelTopology,weightsManifest:[{paths:[`./${n}.weights.bin`],weights:e.weightSpecs}]},await Yk(e.weightData,`${n}.weights.bin`,"application/octet-stream"),await Yk(JSON.stringify(this.weightsManifest),`${n}.json`,"text/plain"),r&&r()})))}async load(e=null,t){if(e instanceof FileList){const t=await Promise.all(Array.from(e).map((async e=>e.name.includes(".json")&&!e.name.includes("_meta")?{name:"model",file:e}:e.name.includes(".json")&&e.name.includes("_meta.json")?{name:"metadata",file:await e.text()}:e.name.includes(".bin")?{name:"weights",file:e}:{name:null,file:null}))),n=t.find((e=>"model"===e.name)).file,r=t.find((e=>"weights"===e.name)).file;this.model=await m.loadLayersModel(m.io.browserFiles([n,r]))}else if(e instanceof Object){const t=await MA().get(e.model,{responseType:"text"}),n=JSON.stringify(t.data),r=new File([n],"model.json",{type:"application/json"}),i=(await MA().get(e.weights,{responseType:"blob"})).data,a=new File([i],"model.weights.bin",{type:"application/macbinary"});this.model=await m.loadLayersModel(m.io.browserFiles([r,a]))}else this.model=await m.loadLayersModel(e);return this.isCompiled=!0,this.isLayered=!0,this.isTrained=!0,t&&t(),this.model}dispose(){this.model.dispose()}mutate(e=.1,t){m.tidy((()=>{const n=this.model.getWeights(),r=[];for(let i=0;i<n.length;i+=1){const a=n[i],{shape:o}=n[i],s=a.dataSync().slice();for(let n=0;n<s.length;n+=1)Math.random()<e&&(s[n]=t?t(s[n]):Math.min(Math.max(s[n]+iM(),-1),1));const u=m.tensor(s,o);r[i]=u}this.model.setWeights(r)}))}crossover(e){return m.tidy((()=>{const t=this.model.getWeights(),n=e.model.getWeights(),r=[];for(let e=0;e<t.length;e+=1){const i=t[e],a=n[e],{shape:o}=t[e],s=i.dataSync().slice(),u=a.dataSync().slice();for(let e=0;e<s.length;e+=1)Math.random()<.5&&(s[e]=u[e]);const c=m.tensor(s,o);r[e]=c}this.model.setWeights(r)}))}},this.neuralNetworkData=new class{constructor(){this.meta={inputUnits:null,outputUnits:null,inputs:{},outputs:{},isNormalized:!1},this.isMetadataReady=!1,this.isWarmedUp=!1,this.data={raw:[]},this.createMetadata=this.createMetadata.bind(this),this.getDataStats=this.getDataStats.bind(this),this.getInputMetaStats=this.getInputMetaStats.bind(this),this.getDataUnits=this.getDataUnits.bind(this),this.getInputMetaUnits=this.getInputMetaUnits.bind(this),this.getDTypesFromData=this.getDTypesFromData.bind(this),this.addData=this.addData.bind(this),this.convertRawToTensors=this.convertRawToTensors.bind(this),this.normalizeDataRaw=this.normalizeDataRaw.bind(this),this.normalizeInputData=this.normalizeInputData.bind(this),this.normalizeArray=this.normalizeArray.bind(this),this.unnormalizeArray=this.unnormalizeArray.bind(this),this.applyOneHotEncodingsToDataRaw=this.applyOneHotEncodingsToDataRaw.bind(this),this.getDataOneHot=this.getDataOneHot.bind(this),this.getInputMetaOneHot=this.getInputMetaOneHot.bind(this),this.createOneHotEncodings=this.createOneHotEncodings.bind(this),this.loadDataFromUrl=this.loadDataFromUrl.bind(this),this.loadJSON=this.loadJSON.bind(this),this.loadCSV=this.loadCSV.bind(this),this.loadBlob=this.loadBlob.bind(this),this.loadData=this.loadData.bind(this),this.saveData=this.saveData.bind(this),this.saveMeta=this.saveMeta.bind(this),this.loadMeta=this.loadMeta.bind(this),this.findEntries=this.findEntries.bind(this),this.formatRawData=this.formatRawData.bind(this),this.csvToJSON=this.csvToJSON.bind(this)}createMetadata(e,t=null){return this.getDTypesFromData(e),this.getDataStats(e),this.getDataOneHot(e),this.getDataUnits(e,t),this.isMetadataReady=!0,{...this.meta}}getDataStats(e){const t=Object.assign({},this.meta),n=this.getInputMetaStats(e,t.inputs,"xs"),r=this.getInputMetaStats(e,t.outputs,"ys");return t.inputs=n,t.outputs=r,this.meta={...this.meta,...t},t}getInputMetaStats(e,t,n){const r=Object.assign({},t);return Object.keys(r).forEach((t=>{if("string"===r[t].dtype)r[t].min=0,r[t].max=1;else if("number"===r[t].dtype){const i=e.map((e=>e[n][t]));r[t].min=aM.getMin(i),r[t].max=aM.getMax(i)}else if("array"===r[t].dtype){const i=e.map((e=>e[n][t])).flat();r[t].min=aM.getMin(i),r[t].max=aM.getMax(i)}})),r}getDataUnits(e,t=null){const n=null!==t?t:void 0,r=Object.assign({},this.meta);let i;i=n||[this.getInputMetaUnits(e,r.inputs)].flat();const a=this.getInputMetaUnits(e,r.outputs);return r.inputUnits=i,r.outputUnits=a,this.meta={...this.meta,...r},r}getInputMetaUnits(e,t){let n=0;const r=Object.assign({},t);return Object.entries(r).forEach((e=>{const{dtype:t}=e[1];if("number"===t)n+=1;else if("string"===t){const{uniqueValues:t}=e[1],r=t.length;n+=r}else"array"===t&&(n=[])})),n}getDTypesFromData(e){const t={...this.meta,inputs:{},outputs:{}},n=e[0],r=Object.keys(n.xs),i=Object.keys(n.ys);return r.forEach((e=>{t.inputs[e]={dtype:aM.getDataType(n.xs[e])}})),i.forEach((e=>{t.outputs[e]={dtype:aM.getDataType(n.ys[e])}})),this.meta=t,t}addData(e,t){this.data.raw.push({xs:e,ys:t})}convertRawToTensors(e){const t=Object.assign({},this.meta),n=e.length;return m.tidy((()=>{const r=[],i=[];return e.forEach((e=>{const n=Object.keys(t.inputs).map((t=>e.xs[t])).flat();r.push(n);const a=Object.keys(t.outputs).map((t=>e.ys[t])).flat();i.push(a)})),{inputs:m.tensor(r.flat(),[n,...t.inputUnits]),outputs:m.tensor(i.flat(),[n,t.outputUnits])}}))}normalizeDataRaw(e){const t=Object.assign({},this.meta),n=this.normalizeInputData(e,t.inputs,"xs"),r=this.normalizeInputData(e,t.outputs,"ys");return aM.zipArrays(n,r)}normalizeInputData(e,t,n){const r=e.length,i=Object.assign({},t),a={};Object.keys(i).forEach((t=>{const r={min:i[t].min,max:i[t].max},o=e.map((e=>e[n][t]));"string"===i[t].dtype?(r.legend=i[t].legend,a[t]=this.normalizeArray(o,r)):"number"===i[t].dtype?a[t]=this.normalizeArray(o,r):"array"===i[t].dtype&&(a[t]=o.map((e=>this.normalizeArray(e,r))))}));const o=[...new Array(r).fill(null)].map(((e,t)=>{const r={[n]:{}};return Object.keys(i).forEach((e=>{r[n][e]=a[e][t]})),r}));return o}normalizeArray(e,t){const{min:n,max:r}=t;if(t.legend){const n=e.map((e=>t.legend[e]?t.legend[e]:e));return n}if(e.every((e=>"number"==typeof e))){const t=e.map((e=>aM.normalizeValue(e,n,r)));return t}throw new Error("error in inputArray of normalizeArray() function")}unnormalizeArray(e,t){const{min:n,max:r}=t;if(t.legend){const n=e.map((e=>{let n;return Object.entries(t.legend).forEach((t=>{const r=t[0],i=t[1],a=e.map(((e,t)=>e===i[t])).every((e=>!0===e));a&&(n=r)})),n}));return n}if(e.every((e=>"number"==typeof e))){const t=e.map((e=>aM.unnormalizeValue(e,n,r)));return t}throw new Error("error in inputArray of normalizeArray() function")}applyOneHotEncodingsToDataRaw(e){const t=Object.assign({},this.meta),n=e.map((e=>{const n={...e.xs},r={...e.ys};return Object.keys(t.inputs).forEach((r=>{t.inputs[r].legend&&(n[r]=t.inputs[r].legend[e.xs[r]])})),Object.keys(t.outputs).forEach((n=>{t.outputs[n].legend&&(r[n]=t.outputs[n].legend[e.ys[n]])})),{xs:n,ys:r}}));return n}getDataOneHot(e){const t=Object.assign({},this.meta),n=this.getInputMetaOneHot(e,t.inputs,"xs"),r=this.getInputMetaOneHot(e,t.outputs,"ys");return t.inputs=n,t.outputs=r,this.meta={...this.meta,...t},t}getInputMetaOneHot(e,t,n){const r=Object.assign({},t);return Object.entries(r).forEach((t=>{const i=t[0],{dtype:a}=t[1];if("string"===a){const t=[...new Set(e.map((e=>e[n][i])))],a=this.createOneHotEncodings(t);r[i]={...r[i],...a}}})),r}createOneHotEncodings(e){return m.tidy((()=>{const t={uniqueValues:e,legend:{}},n=e,r=n.map(((e,t)=>t)),i=m.oneHot(m.tensor1d(r,"int32"),n.length).arraySync();return n.forEach(((e,n)=>{t.legend[e]=i[n]})),t}))}async loadDataFromUrl(e,t,n){try{let r;if(e.endsWith(".csv"))r=await this.loadCSV(e,t,n);else if(e.endsWith(".json"))r=await this.loadJSON(e,t,n);else{if(!e.includes("blob"))throw new Error("Not a valid data format. Must be csv or json");r=await this.loadBlob(e,t,n)}return r}catch(e){throw console.error(e),new Error(e)}}async loadJSON(e,t,n){try{let r;if(e instanceof Object)r=Object.assign({},e);else{const{data:t}=await MA().get(e);r=t}return this.formatRawData(r,t,n)}catch(e){throw console.error("error loading json"),new Error(e)}}async loadCSV(e,t,n){try{const r=m.data.csv(e),i={entries:await r.toArray()};return this.formatRawData(i,t,n)}catch(e){throw console.error("error loading csv",e),new Error(e)}}async loadBlob(e,t,n){try{const{data:r}=await MA().get(e),i=r;let a;if(aM.isJsonOrString(i)){const e=JSON.parse(i);a=await this.loadJSON(e,t,n)}else{const e=this.csvToJSON(i);a=await this.loadJSON(e,t,n)}return a}catch(e){throw console.log("mmm might be passing in a string or something!",e),new Error(e)}}async loadData(e=null,t){try{let n;if("string"!=typeof e){const t=e[0];if((new FileReader).readAsText(t),t.name.includes(".json")){const e=await t.text();n=JSON.parse(e)}else console.log('data must be a json object containing an array called "data" or "entries')}else{n=await MA().get(e,{responseType:"text"});const t=JSON.stringify(n.data);aM.isJsonOrString(t)?n=JSON.parse(t):console.log("Whoops! something went wrong. Either this kind of data is not supported yet or there is an issue with .loadData")}this.data.raw=this.findEntries(n),!this.data.raw.length>0&&console.log('data must be a json object containing an array called "data" '),t&&t()}catch(e){throw new Error(e)}}async saveData(e){const t=new Date;let n=`${String(t.getFullYear())}-${String(t.getMonth()+1)}-${String(t.getDate())}_${String(t.getHours())}-${String(t.getMinutes())}-${String(t.getSeconds())}`;e&&(n=e);const r={data:this.data.raw};await Yk(JSON.stringify(r),`${n}.json`,"text/plain")}async saveMeta(e,t){let n,r;"function"==typeof e?(n="model",r=e):"string"==typeof e?(n=e,"function"==typeof t&&(r=t)):n="model",await Yk(JSON.stringify(this.meta),`${n}_meta.json`,"text/plain"),r&&r()}async loadMeta(e=null,t){if(e instanceof FileList){const t=await Promise.all(Array.from(e).map((async e=>e.name.includes(".json")&&!e.name.includes("_meta")?{name:"model",file:e}:e.name.includes(".json")&&e.name.includes("_meta.json")?{name:"metadata",file:await e.text()}:e.name.includes(".bin")?{name:"weights",file:e}:{name:null,file:null}))),n=JSON.parse(t.find((e=>"metadata"===e.name)).file);this.meta=n}else if(e instanceof Object){let t=await MA().get(e.metadata,{responseType:"text"});t=JSON.stringify(t.data),t=JSON.parse(t),this.meta=t}else{const t=`${e.substring(0,e.lastIndexOf("/"))}/model_meta.json`;let n=await MA().get(t);n=n.data,this.meta=n}return this.isMetadataReady=!0,this.isWarmedUp=!0,t&&t(),this.meta}formatRawData(e,t,n){const r=this.findEntries(e);!r.length>0&&console.log("your data must be contained in an array in \n\n        a property called 'entries' or 'data' of your json object");const i=r.map(((e,r)=>{const i={xs:{},ys:{}};return t.forEach((t=>{void 0!==e[t]?i.xs[t]=e[t]:console.error(`the input label ${t} does not exist at row ${r}`)})),n.forEach((t=>{void 0!==e[t]?i.ys[t]=e[t]:console.error(`the output label ${t} does not exist at row ${r}`)})),i}));return this.data.raw=i,i}csvToJSON(e){const t=e.split("\n"),n=[],r=t[0].split(",");for(let e=1;e<t.length;e+=1){const i={},a=t[e].split(",");r.forEach(((e,t)=>{i[e]=a[t]})),n.push(i)}return{entries:n}}findEntries(e){const t=Object.assign({},e);return t.entries&&t.entries instanceof Array?t.entries:t.data&&t.data instanceof Array?t.data:(Object.keys(t).forEach((e=>{if("object"==typeof t[e])return this.findEntries(t[e])})),t)}},this.neuralNetworkVis=new class{constructor(){this.config={height:300}}modelSummary(e,t){const n={...e};AA.show.modelSummary(n,t)}scatterplot(e,t,n){const r=n.map((n=>({x:n.xs[e],y:n.ys[t]}))),i={xLabel:"X",yLabel:"Y",height:this.config.height};AA.render.scatterplot({name:"debug mode"},r,i)}scatterplotAll(e,t,n){let r=[];e.forEach((e=>{t.forEach((t=>{const i=n.map((n=>({x:n.xs[e],y:n.ys[t]})));r=[...r,...i]}))}));const i={xLabel:"X",yLabel:"Y",height:this.config.height};AA.render.scatterplot({name:"debug mode"},r,i)}barchart(e,t,n){const r=n.map((n=>({value:n.xs[e],index:n.ys[t]}))),i={xLabel:"label",yLabel:"value",height:this.config.height};console.log(i),AA.render.barchart({name:"Bar chart"},r)}trainingVis(){return AA.show.fitCallbacks({name:"Training Performance"},["loss","accuracy"],{height:this.config.height,callbacks:["onEpochEnd"]})}},this.data={training:[]},this.ready=!1,this.init=this.init.bind(this),this.addData=this.addData.bind(this),this.loadDataFromUrl=this.loadDataFromUrl.bind(this),this.loadDataInternal=this.loadDataInternal.bind(this),this.createMetaData=this.createMetaData.bind(this),this.prepareForTraining=this.prepareForTraining.bind(this),this.normalizeData=this.normalizeData.bind(this),this.normalizeInput=this.normalizeInput.bind(this),this.searchAndFormat=this.searchAndFormat.bind(this),this.formatInputItem=this.formatInputItem.bind(this),this.convertTrainingDataToTensors=this.convertTrainingDataToTensors.bind(this),this.formatInputsForPrediction=this.formatInputsForPrediction.bind(this),this.formatInputsForPredictionAll=this.formatInputsForPredictionAll.bind(this),this.isOneHotEncodedOrNormalized=this.isOneHotEncodedOrNormalized.bind(this),this.train=this.train.bind(this),this.trainInternal=this.trainInternal.bind(this),this.addLayer=this.addLayer.bind(this),this.createNetworkLayers=this.createNetworkLayers.bind(this),this.addDefaultLayers=this.addDefaultLayers.bind(this),this.compile=this.compile.bind(this),this.predict=this.predict.bind(this),this.predictMultiple=this.predictMultiple.bind(this),this.classify=this.classify.bind(this),this.classifyMultiple=this.classifyMultiple.bind(this),this.predictInternal=this.predictInternal.bind(this),this.classifyInternal=this.classifyInternal.bind(this),this.saveData=this.saveData.bind(this),this.loadData=this.loadData.bind(this),this.save=this.save.bind(this),this.load=this.load.bind(this),this.dispose=this.dispose.bind(this),this.mutate=this.mutate.bind(this),this.crossover=this.crossover.bind(this),this.init(this.callback)}init(e){!0===this.options.noTraining&&this.createLayersNoTraining(),null!==this.options.dataUrl?this.ready=this.loadDataFromUrl(this.options,e):null!==this.options.modelUrl?this.ready=this.load(this.options.modelUrl,e):this.ready=!0}createLayersNoTraining(){const{inputs:e,outputs:t,task:n}=this.options;if("classification"===n)for(let n=0;n<t.length;n+=1){const r=new Array(e).fill(0);this.addData(r,[t[n]])}else{const n=new Array(e).fill(0),r=new Array(t).fill(0);this.addData(n,r)}this.neuralNetworkData.createMetadata(this.neuralNetworkData.data.raw),this.addDefaultLayers(this.options.task,this.neuralNetworkData.meta)}copy(){const e=new sM(this.options);return m.tidy((()=>{const t=this.neuralNetwork.model.getWeights(),n=[];for(let e=0;e<t.length;e+=1)n[e]=t[e].clone();return e.neuralNetwork.model.setWeights(n),e}))}addData(e,t,n=null){const{inputs:r,outputs:i}=this.options;let a,o;if(null!==n?(a=n.inputLabels,o=n.outputLabels):r.length>0&&i.length>0?(r.every((e=>"string"==typeof e))&&(a=r),i.every((e=>"string"==typeof e))&&(o=i)):"object"==typeof e&&"object"==typeof t?(a=Object.keys(e),o=Object.keys(t)):(a=aM.createLabelsFromArrayValues(e,"input"),o=aM.createLabelsFromArrayValues(t,"output")),!(a instanceof Array))throw new Error("inputLabels must be an array");if(!(o instanceof Array))throw new Error("outputLabels must be an array");const s=this.searchAndFormat(e),u=aM.formatDataAsObject(s,a),c=aM.formatDataAsObject(t,o);this.neuralNetworkData.addData(u,c)}loadDataFromUrl(e,t){return kA(this.loadDataInternal(e),t)}async loadDataInternal(e){const{dataUrl:t,inputs:n,outputs:r}=e,i=await this.neuralNetworkData.loadDataFromUrl(t,n,r);this.createMetadata(i),this.prepareForTraining(i)}createMetaData(e){const{inputs:t}=this.options;let n;Array.isArray(t)&&t.length>0&&(n=t.every((e=>"number"==typeof e))&&t.length>0?t:null),this.neuralNetworkData.createMetadata(e,n)}prepareForTraining(e=null){const t=null===e?this.neuralNetworkData.data.raw:e,n=this.neuralNetworkData.applyOneHotEncodingsToDataRaw(t);return this.data.training=n,this.neuralNetworkData.isWarmedUp=!0,n}normalizeData(e=null){const t=null===e?this.neuralNetworkData.data.raw:e;this.neuralNetworkData.isMetadataReady||this.createMetaData(t),this.neuralNetworkData.isWarmedUp||this.prepareForTraining(t);const n=this.neuralNetworkData.normalizeDataRaw(t);return this.data.training=n,this.neuralNetworkData.meta.isNormalized=!0,n}normalizeInput(e,t,n){const r=t,{min:i,max:a}=n[r];return aM.normalizeValue(e,i,a)}searchAndFormat(e){let t;if(Array.isArray(e))t=e.map((e=>this.formatInputItem(e)));else if("object"==typeof e){const n=Object.assign({},e);Object.keys(e).forEach((t=>{const r=e[t];n[t]=this.formatInputItem(r)})),t=n}return t}formatInputItem(e){let t,n;return rk(e)?t=e:"object"==typeof e&&rk(e.elt)?t=e.elt:"object"==typeof e&&rk(e.canvas)&&(t=e.canvas),n=t?ik(t):e,n}convertTrainingDataToTensors(e=null,t=null){const n=null===e?this.data.training:e,r=null===t?this.neuralNetworkData.meta:t;return this.neuralNetworkData.convertRawToTensors(n,r)}formatInputsForPrediction(e,t,n){let r=[];return e instanceof Array?r=n.map(((n,r)=>this.isOneHotEncodedOrNormalized(e[r],n,t.inputs))):e instanceof Object&&(r=n.map((n=>this.isOneHotEncodedOrNormalized(e[n],n,t.inputs)))),r=r.flat(),r}formatInputsForPredictionAll(e,t,n){let r;return e instanceof Array&&e.every((e=>Array.isArray(e)))?(r=e.map((e=>this.formatInputsForPrediction(e,t,n))),m.tensor(r,[e.length,n.length])):(r=this.formatInputsForPrediction(e,t,n),m.tensor([r]))}isOneHotEncodedOrNormalized(e,t,n){const r=e,i=t;let a;return"number"!=typeof e?a=n[i].legend[r]:(a=e,this.neuralNetworkData.meta.isNormalized&&(a=this.normalizeInput(e,i,n))),a}train(e,t,n){let r,i,a;"object"==typeof e&&"function"==typeof t&&"function"==typeof n?(r=e,i=t,a=n):"object"==typeof e&&"function"==typeof t?(r=e,i=null,a=t):"function"==typeof e&&"function"==typeof t?(r={},i=e,a=t):(r={},i=null,a=e),this.trainInternal(r,i,a)}trainInternal(e,t,n){const r={epochs:10,batchSize:32,validationSplit:.1,whileTraining:null,...e};if(!0===this.options.debug||"true"===this.options.debug?r.whileTraining=[this.neuralNetworkVis.trainingVis(),{onEpochEnd:t}]:r.whileTraining=[{onEpochEnd:t}],this.neuralNetworkData.isMetadataReady||this.createMetaData(this.neuralNetworkData.data.raw),this.neuralNetworkData.isWarmedUp||this.prepareForTraining(this.neuralNetworkData.data.raw),!r.inputs&&!r.outputs){const{inputs:e,outputs:t}=this.convertTrainingDataToTensors();r.inputs=e,r.outputs=t}this.neuralNetwork.isLayered||(this.options.layers=this.createNetworkLayers(this.options.layers,this.neuralNetworkData.meta)),this.neuralNetwork.isLayered||(this.options.layers=this.addDefaultLayers(this.options.task,this.neuralNetworkData.meta)),this.neuralNetwork.isCompiled||this.compile(),this.neuralNetwork.train(r,n)}addLayer(e){this.neuralNetwork.addLayer(e)}createNetworkLayers(e,t){const n=[...e],{inputUnits:r,outputUnits:i}=Object.assign({},t),a=n.length;if(!(n.length>=2))return!1;n[0].inputShape=n[0].inputShape?n[0].inputShape:r;const o=n[a-1];return o.units=o.units?o.units:i,n.forEach((e=>{this.addLayer(m.layers[e.type](e))})),n}addDefaultLayers(e,t){let n;switch(e.toLowerCase()){case"classification":return n=[{type:"dense",units:this.options.hiddenUnits,activation:"relu"},{type:"dense",activation:"softmax"}],this.createNetworkLayers(n,t);case"regression":return n=[{type:"dense",units:this.options.hiddenUnits,activation:"relu"},{type:"dense",activation:"sigmoid"}],this.createNetworkLayers(n,t);case"imageclassification":return n=[{type:"conv2d",filters:8,kernelSize:5,strides:1,activation:"relu",kernelInitializer:"varianceScaling"},{type:"maxPooling2d",poolSize:[2,2],strides:[2,2]},{type:"conv2d",filters:16,kernelSize:5,strides:1,activation:"relu",kernelInitializer:"varianceScaling"},{type:"maxPooling2d",poolSize:[2,2],strides:[2,2]},{type:"flatten"},{type:"dense",kernelInitializer:"varianceScaling",activation:"softmax"}],this.createNetworkLayers(n,t);default:return console.log("no imputUnits or outputUnits defined"),n=[{type:"dense",units:this.options.hiddenUnits,activation:"relu"},{type:"dense",activation:"sigmoid"}],this.createNetworkLayers(n,t)}}compile(e=null,t=null){const n=null===t?this.options.learningRate:t;let r={};null!==e?r={...e}:"classification"===this.options.task||"imageClassification"===this.options.task?r={loss:"categoricalCrossentropy",optimizer:m.train.sgd,metrics:["accuracy"]}:"regression"===this.options.task&&(r={loss:"meanSquaredError",optimizer:m.train.adam,metrics:["accuracy"]}),r.optimizer=r.optimizer?this.neuralNetwork.setOptimizerFunction(n,r.optimizer):this.neuralNetwork.setOptimizerFunction(n,m.train.sgd),this.neuralNetwork.compile(r),this.options.debug&&this.neuralNetworkVis.modelSummary({name:"Model Summary"},this.neuralNetwork.model)}predictSync(e){return this.predictSyncInternal(e)}predict(e,t){return kA(this.predictInternal(e),t)}predictMultiple(e,t){return kA(this.predictInternal(e),t)}classifySync(e){return this.classifySyncInternal(e)}classify(e,t){return kA(this.classifyInternal(e),t)}classifyMultiple(e,t){return 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0===r&&(r=.5),CT.localResponseNormalization(this,e,t,n,r)},e.prototype.pool=function(e,t,n,r,i){return this.throwIfDisposed(),CT.pool(this,e,t,n,r,i)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),ET().makeVariable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),CT.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),CT.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),CT.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),CT.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,n,r,i,a,o,s){return void 0===r&&(r=0),void 0===i&&(i=0),void 0===a&&(a=0),void 0===o&&(o=0),void 0===s&&(s=0),this.throwIfDisposed(),CT.stridedSlice(this,e,t,n,r,i,a,o,s)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),CT.depthToSpace(this,e,t)},e.prototype.fft=function(){return this.throwIfDisposed(),CT.spectral.fft(this)},e.prototype.ifft=function(){return this.throwIfDisposed(),CT.spectral.ifft(this)},e.prototype.rfft=function(){return this.throwIfDisposed(),CT.spectral.rfft(this)},e.prototype.irfft=function(){return this.throwIfDisposed(),CT.spectral.irfft(this)},e}();Object.defineProperty(NT,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.dataId&&null!=e.shape&&null!=e.dtype}});var AT,kT,DT,_T,MT,TT=function(e){function t(t,n,r,i){var a=e.call(this,t.shape,t.dtype,t.dataId,i)||this;return a.trainable=n,a.name=r,a}return cM(t,e),t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and previous value ("+this.dtype+") must match");if(!RM(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and previous value ("+this.shape+") must match");ET().disposeTensor(this),this.dataId=e.dataId,ET().incRef(this,null)},t.prototype.dispose=function(){ET().disposeVariable(this),this.isDisposedInternal=!0},t}(NT);Object.defineProperty(TT,Symbol.hasInstance,{value:function(e){return e instanceof NT&&null!=e.assign&&e.assign instanceof Function}}),function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"}(AT||(AT={})),function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(kT||(kT={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(DT||(DT={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(_T||(_T={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(MT||(MT={}));var OT={float32:_T,int32:kT,bool:DT,complex64:MT};function IT(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast "+e+" with "+t)}return OT[e][t]}function FT(e){return IT(e,"int32")}function RT(e,t){if(e.dtype===t.dtype)return[e,t];var n=IT(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function BT(e,t){MM(e.dtype===t.dtype,(function(){return"The dtypes of the first("+e.dtype+") and second("+t.dtype+") input must match"}))}function zT(e){var t=[];return function e(t,n,r){if(null!=t)if(t instanceof NT)n.push(t);else if(i=t,Array.isArray(i)||"object"==typeof i){var i,a=t;for(var o in a){var s=a[o];r.has(s)||(r.add(s),e(s,n,r))}}}(e,t,new Set),t}var PT,LT=Object.freeze({makeTypesMatch:RT,assertTypesMatch:BT,isTensorInList:function(e,t){return t.some((function(t){return t.id===e.id}))},getTensorsInContainer:zT}),jT=function(){function e(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),UT=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new jT}return e.prototype.ready=function(){return lM(this,void 0,void 0,(function(){var e,t,n;return fM(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];e=this.getSortedBackends(),t=0,r.label=1;case 1:return t<e.length?(n=e[t],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return t++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(e.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '"+t+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance},enumerable:!0,configurable:!0}),e.prototype.backendNames=function(){return Object.keys(this.registryFactory)},e.prototype.findBackend=function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]},e.prototype.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},e.prototype.registerBackend=function(e,t,n){return void 0===n&&(n=1),e in this.registryFactory?(console.warn(e+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},e.prototype.setBackend=function(e){return lM(this,void 0,void 0,(function(){var t,n,r;return fM(this,(function(i){switch(i.label){case 0:if(null==this.registryFactory[e])throw new Error("Backend name '"+e+"' not found in registry");return this.backendName=e,null!=this.registry[e]?[3,4]:(this.backendInstance=null,t=this.initializeBackend(e),n=t.success,t.asyncInit?[4,n]:[3,2]);case 1:return r=i.sent(),[3,3];case 2:r=n,i.label=3;case 3:if(!r)return[2,!1];i.label=4;case 4:return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new gT(this.backendInstance),[2,!0]}}))}))},e.prototype.setupRegisteredKernels=function(){var e=this;xM(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},e.prototype.disposeRegisteredKernels=function(e){var t=this;xM(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))},e.prototype.initializeBackend=function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var i=++this.pendingBackendInitId,a=r.then((function(n){return!(i<t.pendingBackendInitId||(t.registry[e]=n,t.pendingBackendInit=null,0))})).catch((function(n){return!(i<t.pendingBackendInitId||(t.pendingBackendInit=null,console.warn("Initialization of backend "+e+" failed"),console.warn(n.stack||n.message),1))}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[e]=r,{success:!0,asyncInit:!1}}catch(t){return console.warn("Initialization of backend "+e+" failed"),console.warn(t.stack||t.message),{success:!1,asyncInit:!1}}},e.prototype.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error(e+" backend not found in registry");this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},e.prototype.getSortedBackends=function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))},e.prototype.initializeBackendsAndReturnBest=function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),i=r.success,a=r.asyncInit;if(a||i)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},e.prototype.moveData=function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,i=this.readSync(t);r.disposeData(t),n.backend=e,e.move(t,i,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},e.prototype.tidy=function(e,t){var n,r=this,i=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=e}return this.scopedRun((function(){return r.startScope(i)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},e.prototype.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},e.prototype.nextTensorId=function(){return e.nextTensorId++},e.prototype.nextVariableId=function(){return e.nextVariableId++},e.prototype.clone=function(e){var t=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){return e.toFloat()}}}),[]),t},e.prototype.runKernel=function(e,t,n,r,i){return this.runKernelFunc(null,t,null,e,n,r,i)},e.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},e.prototype.checkKernelForMemLeak=function(e,t,n){var r=this.backend.numDataIds(),i=0;n.forEach((function(e){i+="complex64"===e.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-i-a;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+e+"'")},e.prototype.runKernelFunc=function(e,t,n,r,i,a,o){var s,u=this;void 0===a&&(a=[]),void 0===o&&(o=[]);var c=[],l=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,p=function(e){l&&(c=e.map((function(e){return u.keep(u.clone(e))})))},h=this.state.numBytes,d=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var m,g=yM(r,this.backendName);return f=null!=g?function(){var e=u.backend.numDataIds();m=g.kernelFunc({inputs:t,attrs:i,backend:u.backend});var n=Array.isArray(m)?m:[m];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n);var s=n.map((function(e){var t=e.dataId,n=e.shape,r=e.dtype;return u.makeTensorFromDataId(t,n,r)})),c=s.filter((function(e,t){return o[t]}));return p((a||[]).slice().concat(c)),s}:function(){var t=u.backend.numDataIds();m=u.tidy((function(){return e(u.backend,p)}));var n=Array.isArray(m)?m:[m];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n),n},this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,t,(function(){return f()})):f()})),l&&this.addTapeNode(r,t,s,n,c),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-h,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-d,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(t).map((function(e){return t[e].shape})),outputShapes:s.map((function(e){return e.shape}))}),Array.isArray(m)?s:s[0]},e.prototype.makeTensor=function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var i=e;"string"===n&&ZM(e[0])&&(i=e.map((function(e){return fT(e)})));var a=r.write(i,t,n),o=new NT(t,n,a,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(a),u=JM(i);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},e.prototype.makeTensorFromDataId=function(e,t,n,r){var i=new NT(t,n=n||"float32",e,this.nextTensorId());return this.incRef(i,r),i},e.prototype.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.asType(r));var i=new TT(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[i.name])throw new Error("Variable with name "+i.name+" was already registered");return this.state.registeredVariables[i.name]=i,this.incRef(i,this.backend),i},e.prototype.incRef=function(e,t){var n=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(r=e.size*YM(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof TT||this.track(e)},e.prototype.disposeTensor=function(e){if(this.state.tensorInfo.has(e.dataId)){this.state.numTensors--,"string"===e.dtype&&this.state.numStringTensors--;var t=this.state.tensorInfo.get(e.dataId);t.refCount<=1?("complex64"!==e.dtype&&(this.state.numBytes-=t.bytes),this.state.numDataBuffers--,t.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):this.state.tensorInfo.get(e.dataId).refCount--}},e.prototype.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},e.prototype.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e},e.prototype.profile=function(e){return lM(this,void 0,void 0,(function(){var t,n;return fM(this,(function(r){return this.state.profiling=!0,t=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},e.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},e.prototype.addTapeNode=function(e,t,n,r,i){var a=this,o={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:i},s=bM(e);null!=s&&(r=s.gradFunc),null!=r&&(o.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],i=uT(r.size,r.dtype);return a.makeTensor(i,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],i)}),this.state.activeTape.push(o)},e.prototype.keep=function(e){return e.kept=!0,e},e.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},e.prototype.endTape=function(){this.state.gradientDepth--},e.prototype.startScope=function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t},e.prototype.endScope=function(e){for(var t=this,n=zT(e),r=new Set(n.map((function(e){return e.id}))),i=0;i<this.state.activeScope.track.length;i++){var a=this.state.activeScope.track[i];a.kept||r.has(a.id)||a.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))},e.prototype.gradients=function(e,t,n,r){var i=this;if(void 0===r&&(r=!1),MM(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '"+n.dtype+"'");var a=this.scopedRun((function(){return i.startTape()}),(function(){return i.endTape()}),(function(){return i.tidy("forward",e)}));MM(a instanceof NT,(function(){return"The result y returned by f() must be a tensor."}));var o=function(e,t,n){for(var r={},i={},a=0;a<t.length;a++)r[t[a].id]=!0;for(a=0;a<e.length;a++){var o=(d=e[a]).inputs;for(var s in o){for(var u=o[s],c=!1,l=0;l<t.length;l++)if(r[u.id]){d.outputs.forEach((function(e){return r[e.id]=!0})),c=!0,i[d.id]=!0;break}if(c)break}}var f={};f[n.id]=!0;var p={};for(a=e.length-1;a>=0;a--)for(o=(d=e[a]).inputs,l=0;l<d.outputs.length;l++)if(f[d.outputs[l].id]){for(var s in o)f[o[s].id]=!0,p[d.id]=!0;break}var h=[];for(a=0;a<e.length;a++){var d;if(i[(d=e[a]).id]&&p[d.id]){var m={};for(var s in d.inputs){var g=d.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},d);v.inputs=m,v.outputs=d.outputs,h.push(v)}}return h}(this.state.activeTape,t,a);if(!r&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e,r,s={};s[a.id]=null==n?(r=sT(FM(e=a.shape),"float32"),qT.makeTensor(r,e,"float32")):n,function(e,t,n){for(var r=function(r){var i=t[r],a=[];if(i.outputs.forEach((function(t){var n=e[t.id];null!=n?a.push(n):a.push(null)})),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.kernelName+".");var o=i.gradient(a),s=function(t){if(!(t in o))throw new Error("Cannot backprop through input "+t+". Available gradients found: "+Object.keys(o)+".");var r=n((function(){return o[t]()}));if("float32"!==r.dtype)throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input "+t+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=i.inputs[t];if(!RM(r.shape,a.shape))throw new Error("Error in gradient for op "+i.kernelName+". 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a=dF(e,r),o=new hF(t,n,null,i),s=0;s<a.values.length;s++)a.values[s]=o.nextValue();return a.toTensor()}}),RF=_I({reshape_:function(e,t){var n=vI(e,"x","reshape",null);t=UM(t,n.size),MM(n.size===FM(t),(function(){return"new shape and old shape must have the same number of elements."}));var r={shape:t};return qT.runKernelFunc((function(e){return e.reshape(n,t)}),{x:n},(function(e){return{x:function(){return e.reshape(n.shape)}}}),"Reshape",r)}}),BF=_I({spaceToBatchND_:function(e,t,n){var r=vI(e,"x","spaceToBatchND");return MM(r.rank>=1+t.length,(function(){return"input rank "+r.rank+" should be > than [blockShape] "+t.length})),MM(n.length===t.length,(function(){return"paddings.shape[0] "+n.length+" must be equal to [blockShape] "+t.length})),MM(r.shape.reduce((function(e,r,i){return i>0&&i<=t.length?e&&(r+n[i-1][0]+n[i-1][1])%t[i-1]==0:e}),!0),(function(){return"input spatial dimensions "+r.shape.slice(1)+" with paddings "+n.toString()+" must be divisible by blockShapes 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0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var a=new fF(t,n,r,!0,i),o=dF(e,r),s=0;s<o.values.length;s++)o.values[s]=a.nextValue();return o.toTensor()}}),UF=_I({unstack_:function(e,t){void 0===t&&(t=0),t=t||0;var n=vI(e,"x","unstack");MM(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = "+t+" is not in [-"+n.shape.length+", "+n.shape.length+")"})),t<0&&(t+=n.shape.length);var r={axis:t};return qT.runKernelFunc((function(e){return e.unstack(n,t)}),{x:n},(function(e){return{x:function(){return PF(e,t)}}}),"Unpack",r)}}),qF=function(e,t){return lM(this,void 0,void 0,(function(){var n,r,i,a,o,s,u,c,l,f;return fM(this,(function(p){switch(p.label){case 0:return n=vI(e,"x","setdiff1d"),r=vI(t,"y","setdiff1d"),MM(n.dtype===r.dtype,(function(){return"x and y should have the same dtype, but got x ("+n.dtype+") and y ("+r.dtype+")."})),MM(1===n.rank,(function(){return"x should be 1D tensor, but got x 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t=[],n=0;e>0;)1&e&&t.push(n),e/=2,n++;return t}function rR(e,t,n){for(var r=[],i=0;i<e.length;i++)r[i]=Math.ceil((t[i]-e[i])/n[i]);return r}function iR(e,t,n,r,i){var a=t[i],o=n[i]||1;(e&1<<i||null==a)&&(a=o>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var s=r[i];return a<0&&(a+=s),kM(0,a,s-1)}function aR(e,t,n,r,i){var a=t[i],o=n[i]||1;(e&1<<i||null==a)&&(a=o>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var s=r[i];return a<0&&(a+=s),o>0?kM(0,a,s):kM(-1,a,s-1)}function oR(e,t,n){for(var r=n.length,i=0;i<n.length;i++)if(n[i]>1){r=i;break}for(i=r+1;i<n.length;i++)if(t[i]>0||n[i]!==e[i])return!1;return!0}function sR(e,t){for(var n=e.length>0?e[e.length-1]:1,r=0;r<e.length-1;r++)n+=e[r]*t[r];return n}var uR=Object.freeze({assertParamsValid:tR,maskToAxes:nR,computeOutShape:rR,startForAxis:iR,stopForAxis:aR,isSliceContinous:oR,computeFlatOffset:sR});function cR(e){return MM(nT(e),(function(){return"The f passed in grad(f) must be a function"})),function(t,n){var r=vI(t,"x","tf.grad",null),i=null!=n?vI(n,"dy","tf.grad"):null;return qT.tidy((function(){var t=qT.gradients((function(){return e(r)}),[r],i),n=t.value,a=t.grads;return null!=i&&TM(n.shape,i.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),mR(a),a[0]}))}}function lR(e){return MM(nT(e),(function(){return"The f passed in grads(f) must be a function"})),function(t,n){MM(Array.isArray(t),(function(){return"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s"}));var r=yI(t,"args","tf.grads",null),i=null!=n?vI(n,"dy","tf.grads"):null;return qT.tidy((function(){var t=qT.gradients((function(){return e.apply(void 0,r)}),r,i),n=t.value,a=t.grads;return null!=i&&TM(n.shape,i.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),mR(a),a}))}}function fR(e){return MM(nT(e),(function(){return"The f passed in valueAndGrad(f) must be a function"})),function(t,n){MM(t instanceof 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Please make sure the operations that use variables are inside the function f passed to minimize()."})),MM(0===s.rank,(function(){return"The f passed in variableGrads(f) must return a scalar, but it returned a rank-"+s.rank+" tensor"}));var c={};return t.forEach((function(e,t){null!=u[t]&&(c[e.name]=u[t])})),null!=i&&i.forEach((function(e){return c[e.name]=null})),{value:s,grads:c}}function dR(e){return qT.customGrad(e)}function mR(e){if(e.filter((function(e){return null==e})).length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.")}var gR=_I({softmax_:function(e,t){void 0===t&&(t=-1);var n=vI(e,"logits","softmax","float32");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. 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nB=function(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("float v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "},rB=function(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("vec4 v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "},iB=function(e,t,n){this.variableNames=["A"];var r=e.windowSize,i=e.batchSize,a=e.inSize,o=Math.ceil(a/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===t?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "};function aB(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return e+"."+t}))}function oB(e,t){return 1===t?[e]:aB(e,t)}function sB(){var e,t,n,r,i,a,o,s,u,c;return 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fB(e,t,n,r){var i=[];e.forEach((function(e){var t=FM(e.shapeInfo.logicalShape);e.shapeInfo.isUniform?i.push("uniform float "+e.name+(t>1?"["+t+"]":"")+";"):(i.push("uniform sampler2D "+e.name+";"),i.push("uniform int offset"+e.name+";"))}));var a,o,s=i.join("\n"),u=e.map((function(e){return function(e,t,n){void 0===n&&(n=!1);var r="";r+=n?hB(e):pB(e);var i=e.shapeInfo.logicalShape,a=t.logicalShape;return i.length<=a.length&&(r+=n?function(e,t){var n,r,i=e.name,a=i.charAt(0).toUpperCase()+i.slice(1),o="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,c=wR(e.shapeInfo.logicalShape,t.logicalShape),l=xB(u),f=u-s,p=["x","y","z","w","u","v"];n=0===s?"":u<2&&c.length>=1?"coords = 0;":c.map((function(e){return"coords."+p[e+f]+" = 0;"})).join("\n"),r=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+p[t+f]})).join(", ");var h="return outputValue;",d=1===FM(e.shapeInfo.logicalShape),m=1===FM(t.logicalShape);if(1!==s||d||m){if(d&&!m)h=1===u?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(c.length){var g=s-2,v=s-1;c.indexOf(g)>-1&&c.indexOf(v)>-1?h="return vec4(outputValue.x);":c.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":c.indexOf(v)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}}else h="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+a+"("+r+");\n      "+h+"\n    }\n  "}(e,t):function(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",a=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&RM(o,a))return"\n      float "+i+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c,l,f=xB(u),p=wR(e.shapeInfo.logicalShape,t.logicalShape),h=u-s,d=["x","y","z","w","u","v"];return c=0===s?"":u<2&&p.length>=1?"coords = 0;":p.map((function(e){return"coords."+d[e+h]+" = 0;"})).join("\n"),l=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+d[t+h]})).join(", "),"\n    float "+i+"() {\n      "+f+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+l+");\n    }\n  "}(e,t)),r}(e,t,r)})).join("\n"),c=t.texShape,l=sB(),f=function(e){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+e.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),p=function(e){return e.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+e.varyingFs+" vec2 resultUV;\n    "+e.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+e.defineSpecialNaN+"\n    "+e.defineSpecialInf+"\n    "+e.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+dB+"\n    "+mB+"\n    "+gB+"\n  "}(l);return t.isPacked?(a=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,t);case 2:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(RM(e,t))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(e[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return n=e,r=t,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],o=(a=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+i[0]+", "+i[1]+"));\n      int index = resTexRC.x * "+i[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(e,t){for(var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),i=r*Math.ceil(e[e.length-2]/2),a=i,o="",s="b, r, c",u=2;u<e.length-1;u++)o="\n      int b"+u+" = index / "+(a*=e[e.length-u-1])+";\n      index -= b"+u+" * "+a+";\n    "+o,s="b"+u+", "+s;return"\n    ivec"+e.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+o+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+e.length+"("+s+");\n    }\n  "}(e,t)}var n,r,i,a,o}(t.logicalShape,c),o=function(e){return"\n    void setOutput(vec4 val) {\n      "+e.output+" = val;\n    }\n  "}(l)):(a=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){return 1===t[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){return RM(e,t)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ":1===e[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===e[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return n=t,r=uB(["r","c","d"],e),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(e,t){var n=uB(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=uB(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=uB(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}var n,r}(t.logicalShape,c),o=function(e){return"\n    void setOutput(float val) {\n      "+e.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(p+=vB),[p,f,o,s,a,u,n].join("\n")}function pB(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"float "+n+"() {return "+t+";}";var r=e.shapeInfo.texShape,i=r[0],a=r[1];if(1===i&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+t+", halfCR);\n      }\n    ";var o=e.shapeInfo.texShape;return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+o[0]+", "+o[1]+", "+yB(t)+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+bB(e)+"\n      }\n    ";var r=e.shapeInfo.texShape,i=r[0],a=r[1];if(1===a&&1===i)return"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR);\n      }\n    ";var o=yB(t);return 1===a?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+i+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+a+", index + "+o+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape;if(null!=i&&RM(t,i)){var a=i[0];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var o=WM(t),s=o.newShape,u=o.keptDims,c=s;if(c.length<t.length)return"\n      "+pB(wB(e,c))+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+EB(["row","col"],u)+");\n      }\n    ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+t[1]+", 1)));\n        "+bB(e)+"\n      }\n    ";var l=i[0],f=i[1],p=yB(n);return 1===f?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+l+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":1===l?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+t[1]+" + col + "+p+";\n    vec2 uv = uvFromFlat("+l+", "+f+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[1]*t[2],a=t[2],o=WM(t),s=o.newShape,u=o.keptDims,c=s;if(c.length<t.length)return"\n        "+pB(wB(e,c))+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+EB(["row","col","depth"],u)+");\n        }\n      ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+i+", "+a+", 1)));\n        "+bB(e)+"\n      }\n    ";var l=e.shapeInfo.texShape,f=l[0],p=l[1],h=e.shapeInfo.flatOffset;return p===i&&null==h?"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+p+".0, "+f+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ":p===a&&null==h?"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+t[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+p+".0, "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+i+" + col * "+a+" + depth + "+yB(n)+";\n        vec2 uv = uvFromFlat("+f+", "+p+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(e);case 4:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[3],a=t[2]*i,o=t[1]*a,s=WM(t),u=s.newShape,c=s.keptDims;if(u.length<t.length)return"\n      "+pB(wB(e,u))+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+EB(["row","col","depth","depth2"],c)+");\n      }\n    ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+o+", "+a+", "+i+", 1)));\n        "+bB(e)+"\n      }\n    ";var l=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,p=f[0],h=f[1];return h===o&&null==l?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+h+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":h===i&&null==l?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+t[1]*t[2]+", "+t[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+h+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+o+" + col * "+a+" +\n          depth * "+i+" + depth2;\n      vec2 uv = uvFromFlat("+p+", "+h+", index + "+yB(n)+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 5:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[4],a=t[3]*i,o=t[2]*a,s=t[1]*o,u=WM(t),c=u.newShape,l=u.keptDims;if(c.length<t.length)return"\n      "+pB(wB(e,c))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+EB(["row","col","depth","depth2","depth3"],l)+");\n      }\n    ";if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+o+", "+a+", "+i+")) +\n          depth3;\n        "+bB(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,h=p[0],d=p[1];return d===s&&null==f?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+o+", "+a+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":d===i&&null==f?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]+",\n               "+t[2]*t[3]+", "+t[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" + depth * "+a+" +\n          depth2 * "+i+" + depth3 + "+yB(n)+";\n      vec2 uv = uvFromFlat("+h+", "+d+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 6:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=WM(t),a=i.newShape,o=i.keptDims;if(a.length<t.length)return"\n      "+pB(wB(e,a))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+EB(["row","col","depth","depth2","depth3","depth4"],o)+");\n      }\n    ";var s=t[5],u=t[4]*s,c=t[3]*u,l=t[2]*c,f=t[1]*l;if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+f+", "+l+", "+c+", "+u+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+s+", 1)));\n        "+bB(e)+"\n      }\n    ";var p=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,d=h[0],m=h[1];return m===f&&null==p?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+l+", "+c+", "+u+", "+s+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":m===s&&null==p?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]*t[4]+",\n               "+t[2]*t[3]*t[4]+",\n               "+t[3]*t[4]+",\n               "+t[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+f+" + col * "+l+" + depth * "+c+" +\n          depth2 * "+u+" + depth3 * "+s+" + depth4 + "+yB(n)+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);default:throw new Error(t.length+"-D input sampling is not yet supported")}}function hB(e){var t;switch(e.shapeInfo.logicalShape.length){case 0:return"\n    vec4 get"+(t=e.name).charAt(0).toUpperCase()+t.slice(1)+"() {\n      return "+sB().texture2D+"("+t+", halfCR);\n    }\n  ";case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=sB();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+i[0]+", "+i[1]+", index);\n      return "+a.texture2D+"("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape,a=i[0],o=i[1],s=sB();if(null!=i&&RM(t,i))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(t[1]/2)+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape,a=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===t[0])return"\n        "+hB(wB(e,t.slice(1)))+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+EB(["b","row","col"],[1,2])+");\n        }\n      ";var o=a[0],s=a[1],u=Math.ceil(t[2]/2);return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+o+", "+s+", "+u*Math.ceil(t[1]/2)+", "+u+", b, row, col);\n      return "+sB().texture2D+"("+n+", uv);\n    }\n  "}(e);default:return function(e){for(var t=e.shapeInfo.logicalShape,n=t.length,r=e.name,i="get"+r.charAt(0).toUpperCase()+r.slice(1),a=e.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=o[0],u=o[1],c=Math.ceil(t[n-1]/2),l=c*Math.ceil(t[n-2]/2),f="int b, int row, int col",p="b * "+l+" + (row / 2) * "+c+" + (col / 2)",h=2;h<n-1;h++)f="int b"+h+", "+f,p="b"+h+" * "+(l*=t[n-h-1])+" + "+p;return"\n    vec4 "+i+"("+f+") {\n      int index = "+p+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+sB().texture2D+"("+r+", uv);\n    }\n  "}(e)}}var dB="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",mB="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",gB="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",vB="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function yB(e){return"offset"+e}function bB(e){var t=e.name,n=FM(e.shapeInfo.logicalShape);return n<2?"return "+t+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+t+"[i];\n      }\n    }\n  "}function xB(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function wB(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function EB(e,t){return t.map((function(t){return e[t]})).join(", ")}var CB=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,MM(e.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var i=e[e.length-1],a=Math.ceil(i/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,c=u.length,l=xB(c),f=oB("coords",c);if(1===a){var p=xB(s=c+1);o="\n        "+p+" sourceLocR = "+p+"("+f.join()+", 0);\n        ++"+f[c-1]+";\n        "+p+" sourceLocG = "+p+"("+f.join()+", 0);\n        ++"+f[c-2]+";\n        "+p+" sourceLocA = "+p+"("+f.join()+", 0);\n        --"+f[c-1]+";\n        "+p+" sourceLocB = "+p+"("+f.join()+", 0);\n        --"+f[c-2]+";"}else s=c,o="\n        "+l+" sourceLocR = coords;\n        ++"+f[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+f[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+f[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+f[c-2]+";";var h=["x","y","z","w","u","v"].slice(0,s),d="."+h[s-1],m=h.map((function(e){return"int "+e})),g=oB("sourceLocR",s-1).concat("inIdx.r"),v=oB("sourceLocG",s-1).concat("inIdx.g"),y=oB("sourceLocB",s-1).concat("inIdx.b"),b=oB("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",E="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+v.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",C=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+h.join()+"),\n                                          vec2("+h.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+h.join()+"),\n                               vec2("+h.slice(-2).join()+"));\n      }\n      "+C+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+f[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+f[c-2]+" < "+(u[c-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+t+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+t+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},SB=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,i=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=s-1-e.padInfo.top,l=u-1-e.padInfo.left,f=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+f+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},NB=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,i=e.strideDepth,a=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterDepth,f=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=l-1-e.padInfo.front,d=f-1-e.padInfo.top,m=p-1-e.padInfo.left,g=1/(t*n*r);this.userCode="\n      const ivec3 pads = ivec3("+h+", "+d+", "+m+");\n      const float avgMultiplier = float("+g+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+i+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+f+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+p+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},AB=function(e,t,n,r,i,a){this.outputShape=[],this.variableNames=["x","mean","variance"],CR(e,t),CR(e,n);var o="0.0";null!=r&&(CR(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=i&&(CR(e,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},kB=function(e,t,n,r,i,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],CR(e,t),CR(e,n);var o="vec4(0.0)";null!=r&&(CR(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=i&&(CR(e,i),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        vec4 offset = "+o+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},DB=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=CR(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},_B="return a + b;",MB="return a - b;",TB="return a * b;",OB="return (a < 0.) ? b * a : a;",IB=function(e,t,n){this.variableNames=["A","B"],this.outputShape=CR(t,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},FB="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",RB=function(e,t,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=CR(t,n);var i=this.outputShape.length,a="";if(r)if(0===i||1===FM(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+xB(i)+" coords = getOutputCoords();\n        ",1===i)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=oB("coords",i);a+="\n            bool nextRowOutOfBounds =\n              ("+o[i-2]+" + 1) >= "+this.outputShape[i-2]+";\n            bool nextColOutOfBounds =\n              ("+o[i-1]+" + 1) >= "+this.outputShape[i-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},BB=function(){function e(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(i,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}(),zB=function(){function e(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,i){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(i,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(i,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}(),PB=function(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},LB=function(e){this.outputShape=[],this.outputShape=DI(e,1),this.variableNames=e.map((function(e,t){return"T"+t}));var t=new Array(e.length-1);t[0]=e[0][1];for(var n=1;n<t.length;n++)t[n]=t[n-1]+e[n][1];var r=["if (yC < "+t[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<t.length;n++){var i=t[n-1];r.push("else if (yC < "+t[n]+") setOutput(getT"+n+"(yR, yC-"+i+"));")}var a=t.length,o=t[t.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+o+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},jB=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=DI(e,t);var n=this.outputShape,r=n.length,i=xB(r),a=oB("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((function(e,t){return"T"+t}));var s=new Array(e.length-1);s[0]=e[0][t];for(var u=1;u<s.length;u++)s[u]=s[u-1]+e[u][t];var c=o[t],l=o.slice(-2),f=o.join(),p="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+f+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var h=s[u-1];p+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+UB(o,c,h)+"),\n            vec2("+UB(l,c,h)+"));\n        }"}var d=s.length,m=s[s.length-1];p+="\n        return getChannel(\n          getT"+d+"("+UB(o,c,m)+"),\n          vec2("+UB(l,c,m)+"));",this.userCode="\n      float getValue("+o.map((function(e){return"int "+e}))+") {\n        "+p+"\n      }\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function UB(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}var qB=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,i=e.padInfo.left,a="channelsLast"===e.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},WB=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,i=e.strideWidth,a="channelsLast"===e.dataFormat,o=t-1-e.padInfo.top,s=n-1-e.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n\n              if ("+a+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},VB=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,i=e.padInfo.front,a=e.padInfo.top,o=e.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yF = 0; yF < "+e.outDepth+"; yF++) {\n            int xF = wF + yF * "+t+" - "+i+";\n\n            if (xF < 0 || xF >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+o+";\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},$B=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,i=e.strideDepth,a=e.strideHeight,o=e.strideWidth,s=t-1-e.padInfo.front,u=n-1-e.padInfo.top,c=r-1-e.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+t+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+i+".0;\n\n          if (dyF < 0.0 || dyF >= "+e.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+t+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},HB=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,i=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+i+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},GB=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,i=e.strideWidth,a=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+i+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},KB=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.padInfo.top,a=e.padInfo.left,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterHeight,f=e.filterWidth,p=4*Math.floor(e.inChannels/4),h=e.inChannels%4,d="channelsLast"===e.dataFormat,m=d?1:2,g=d?2:3,v=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",b="result = activation(result);");var x=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+i+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+v+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+m+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+p+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+d+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===h)+") {\n\n              if ("+d+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+p+") *\n                    getW(wR, wC, "+p+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+p+", xR, xC) *\n                    getW(wR, wC, "+p+", d2);\n              }\n\n            } else if ("+(2===h)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+p+", d2),\n                getW(wR, wC, "+p+" + 1, d2)\n              );\n\n              if ("+d+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+p+"),\n                  getX(batch, xR, xC, "+p+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+p+", xR, xC),\n                  getX(batch, "+p+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===h)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+p+", d2),\n                getW(wR, wC, "+p+" + 1, d2),\n                getW(wR, wC, "+p+" + 2, d2)\n              );\n\n              if ("+d+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+p+"),\n                  getX(batch, xR, xC, "+p+" + 1),\n                  getX(batch, xR, xC, "+p+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+p+", xR, xC),\n                  getX(batch, "+p+" + 1, xR, xC),\n                  getX(batch, "+p+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "},XB=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,i=e.strideDepth,a=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.filterDepth,f=e.filterHeight,p=e.filterWidth,h=4*Math.floor(e.inChannels/4),d=e.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+i+", "+a+", "+o+");\n      const ivec3 pads = ivec3("+t+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+p+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+h+") *\n                  getW(wF, wR, wC, "+h+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+h+"),\n                  getX(batch, xF, xR, xC, "+h+" + 1),\n                  getX(batch, xF, xR, xC, "+h+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+h+", d2),\n                  getW(wF, wR, wC, "+h+" + 1, d2),\n                  getW(wF, wR, wC, "+h+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},YB=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.inHeight,a=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,l=e.dilationHeight,f=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,d=e.outChannels/e.inChannels,m="",g="";n&&(m=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",g="result = activation(result);");var v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+m+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+d+";\n        int q = d2 - d1 * "+d+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+p+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+i+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+f+";\n\n            if (xC < 0 || xC >= "+a+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+v+"\n        "+g+"\n        setOutput(result);\n      }\n    "},JB=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;for(var i=e.inHeight,a=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,l=e.dilationHeight,f=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,d=h,m="int xR; int xC; int xCOffset;",g=0;g<p;g++)for(var v=0;v<h;v++)m+="\n          vec4 xTexelR"+g+"C"+2*v+" = vec4(0.);\n          vec4 wR"+g+"C"+v+" = vec4(0.);\n          vec4 xR"+g+"C"+v+" = vec4(0.);";for(g=0;g<p;g++)for(var y=0;y<d;y++){if(m+="\n          xR = xRCorner + "+g*l+";\n          xC = xCCorner + "+(v=2*y)*f+";\n        ",1===c){if(v<h&&(m+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+g+"C"+v+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+i+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+g+"C"+v+" = vec4(previous.zw, xTexelR"+g+"C"+v+".xy);\n                } else {\n                  xR"+g+"C"+v+" = vec4(0, 0, xTexelR"+g+"C"+v+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+i+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = xTexelR"+g+"C"+v+";\n              ",v+1<h)){var b=s%2==0?DM(f):f;f%2==0&&s%2==1||f%2!=0&&s%2!=1?(m+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",f>1&&(m+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+i+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+g+"C"+v+" = vec4(0.);\n                    }\n                  "),m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".xy);\n                "):m+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+i+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+g+"C"+(v+1)+" = xTexelR"+g+"C"+(v+2)+";\n                "}}else v<h&&(m+="\n              if(xR >= 0 && xR < "+i+") {\n            ",s%2==1?(m+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n              ",v+1<h&&(m+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+g+"C"+(v+1)+" = vec4(xTexelR"+g+"C"+(v+2)+".xy, final.xy);\n                ")):(m+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+v+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+v+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+(v+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+(v+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+v+" = vec4(\n                  xTexelR"+g+"C"+v+".xy, xTexelR"+g+"C"+(v+2)+".xy);\n              ",v+1<h&&(m+="\n                  xR"+g+"C"+(v+1)+" = vec4(\n                    xTexelR"+g+"C"+v+".zw, xTexelR"+g+"C"+(v+2)+".zw);\n                ")),m+="}");v<h&&(m+="\n            vec4 wTexelR"+g+"C"+v+" = getW("+g+", "+v+", d1, q);\n            wR"+g+"C"+v+" = vec4(wTexelR"+g+"C"+v+".xz, wTexelR"+g+"C"+v+".xz);\n          ",v+1<h&&(m+="\n              vec4 wTexelR"+g+"C"+(v+1)+" = getW("+g+", "+(v+1)+", d1, q);\n              wR"+g+"C"+(v+1)+" =\n                vec4(wTexelR"+g+"C"+(v+1)+".xz, wTexelR"+g+"C"+(v+1)+".xz);"))}for(g=0;g<p;g++)for(v=0;v<h;v++)m+="dotProd += xR"+g+"C"+v+" * wR"+g+"C"+v+";";var x="",w="";n&&(x=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",w="result = activation(result);");var E=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+x+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+m+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+w+"\n        setOutput(result);\n      }\n    "},ZB=function(e,t,n,r,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=e[0],o=e[1],s=e[2],u=e[3],c=t[0],l=n[0],f=n[1];this.outputShape=[c,l,f,u];var p="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],d=h[0],m=h[1],g=l>1?[""+(o-1)/(l-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],v=g[0],y=g[1],b=g[2],x=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],w=x[0],E=x[1],C=x[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+E+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n        float in_x = "+C+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+i+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+p+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},QB=function(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,i=e[e.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+i+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n    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t=QT(e),n=sB();this.outputShape=e,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+uB(["r","c","d"],e)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+t[0]+", "+t[1]+"));\n        int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},nz=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=$T.DENSE;var t=QT(e),n=sB();this.outputShape=e,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+uB(["r","c","d"],e)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+t[0]+", "+t[1]+"));\n        int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},rz=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+t+";\n      int offset_h = imod(h, "+t+");\n      int in_w = w / "+t+";\n      int offset_w = imod(w, "+t+");\n      int offset_d = (offset_h * "+t+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return e.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},e.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},e.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},e.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}(),iz=function(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},az=function(e){this.variableNames=["A"],this.outTexUsage=HT.DOWNLOAD;var t=sB();this.outputShape=e,this.userCode="\n      "+lB+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+t.output+" = encode_float(x);\n      }\n    "},oz=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=HT.DOWNLOAD;var t=sB();this.outputShape=e,this.userCode="\n      "+lB+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+t.output+" = encode_float(x);\n      }\n    "},sz=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=sB(),i=t[0],a=t[1];this.outputShape=e;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+cB(e)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},uz=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=sB(),i=t[0],a=t[1];this.outputShape=e;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+e[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+e[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+i+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+cB(e)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+o+"\n\n        "+r.output+" = "+s+";\n      }\n    "},cz=function(e,t,n){this.variableNames=["real","imag"];var r=t[1];this.outputShape=t;var i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+i+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+e+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},lz=function(){function e(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.valueLoc&&(t.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(t.valueLoc,e)}},e}(),fz=function(e,t,n){this.variableNames=["A","indices"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var i=xB(this.rank),a=function(e,t){var n=e.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var 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This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;nO(t,this.debug,(function(){return t.finish()})),nO(t,this.debug,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),nO(t,this.debug,(function(){return t.deleteFramebuffer(e.framebuffer)})),nO(t,this.debug,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),nO(t,this.debug,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),nO(t,this.debug,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),vz(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),yz(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),bz(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),Sz(this.gl,this.debug,e,t)},e.prototype.uploadDenseMatrixToTexture=function(e,t,n,r){this.throwIfDisposed(),Cz(this.gl,this.debug,e,t,n,r,this.textureConfig)},e.prototype.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),wz(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),xz(this.gl,this.debug,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(NO(this.gl,this.debug,this.framebuffer),this.outputTexture=null),nO(this.gl,this.debug,(function(){return t.gl.deleteTexture(e)}))},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return kz(r.gl,r.debug,t,n,r.textureConfig)}))},e.prototype.downloadPackedMatrixFromBuffer=function(e,t,n,r,i,a){return Dz(this.gl,e,0,0,0,i,a,this.textureConfig)},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t){return Az(this.gl,e,t)},e.prototype.createBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=Nz(this.gl,this.debug,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,n,r=this;if(dM().getBool("WEBGL_FENCE_API_ENABLED")){var i=e,a=i.fenceSync(i.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=i.clientWaitSync(a,0,0);return e===i.ALREADY_SIGNALED||e===i.CONDITION_SATISFIED},t=a}else dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return _z(r.gl,r.debug,t,n)}))},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=sO(t,this.debug,e),r=hz(t,this.debug),i=fO(t,this.debug);return nO(t,this.debug,(function(){return t.attachShader(i,r)})),nO(t,this.debug,(function(){return t.attachShader(i,n)})),pO(t,this.debug,i),this.debug&&hO(t,this.debug,i),this.vertexAttrsAreBound||(this.setProgram(i),this.vertexAttrsAreBound=Ez(t,this.debug,this.program,this.vertexBuffer)),i},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&nO(this.gl,this.debug,(function(){return t.gl.deleteProgram(e)}))},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&hO(this.gl,this.debug,this.program),nO(this.gl,this.debug,(function(){return t.gl.useProgram(e)}))},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?wO(this.gl,this.debug,e,t):EO(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),nO(this.gl,this.debug,(function(){return n.gl.getAttribLocation(e,t)}))},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),CO(this.gl,this.debug,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=eO(t,n),i=r[0],a=r[1];this.setOutputMatrixTextureDriver(e,i,a)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},e.prototype.debugValidate=function(){null!=this.program&&hO(this.gl,this.debug,this.program),AO(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.debug&&this.debugValidate(),nO(e,this.debug,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),nO(this.gl,this.debug,(function(){return e.gl.finish()}))},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=aO(this.gl,this.debug,2===dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),i=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,i),i},e.prototype.endQuery=function(){if(2!==dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return lM(this,void 0,void 0,(function(){var t=this;return fM(this,(function(n){switch(n.label){case 0:return[4,jM((function(){return t.disposed||t.isQueryAvailable(e,dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(e,dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),i=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint}return i=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),i&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))},e.prototype.pollItems=function(){for(var e=function(e){for(var t=0;t<e.length&&e[t]();++t);return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t)(0,this.itemsToPoll[t].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||jM((function(){return n.pollItems(),0===n.itemsToPoll.length}))},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),SO(this.gl,this.debug,e,this.framebuffer),this.debug&&AO(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(SO(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&AO(this.gl)):NO(this.gl,this.debug,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;SO(r,this.debug,e,this.framebuffer),this.debug&&AO(r),this.outputTexture=e,nO(r,this.debug,(function(){return r.viewport(0,0,t,n)})),nO(r,this.debug,(function(){return r.scissor(0,0,t,n)}))},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var i=this;this.throwIfDisposed(),nO(this.gl,this.debug,(function(){return i.gl.scissor(e,t,n,r)}))},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},e}();function Oz(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach((function(e,n){var r=e.logicalShape,i=t[n],a=i.shape;if(!RM(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!e.isUniform||!i.isUniform){var o=e.texShape,s=i.isUniform?null:i.texData.texShape;if(!RM(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}var Iz=function(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var r=n.filterWidth,i=n.inChannels,a=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,f=n.dataFormat,p=s.left,h=s.top,d=i*r,m=sB(),g="channelsLast"===f,v=g?0:1,y=g?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+e[1]+" && pos < "+e[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+h+";\n            d0 = offsetY + "+l+" * (pos / "+d+");\n\n            if(d0 < "+t[v]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+p+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+d+".) / "+i+".));\n\n              if(d1 < "+t[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+i+".));\n\n                if ("+g+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "},Fz=function(e,t,n,r,i){this.variableNames=["x"],this.outputShape=[];var a,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";a=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+a+";\n        setOutput(val);\n      }\n    "},Rz=function(e,t,n,r,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=i,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+i+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+i+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Bz=function(e,t,n,r,i){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";a=.5===i?"inversesqrt("+u+")":1===i?"1.0/("+u+")":"exp(log("+u+") * float(-"+i+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},zz=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,i=e.effectiveFilterHeight,a=e.effectiveFilterWidth,o=i-1-e.padInfo.top,s=a-1-e.padInfo.left,u=i*a-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+i+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+t+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Pz=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,i=e.dilationDepth,a=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,l=s-1-e.padInfo.front,f=u-1-e.padInfo.top,p=c-1-e.padInfo.left,h=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+f+", "+p+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+i+") {\n          float dyD = float(dyDCorner + wD) / "+t+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+h+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Lz=function(e,t,n,r,i,a,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===i&&(i=!1),void 0===a&&(a=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;var s=n?e[1]:e[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",f=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],h="",d="";a&&(h=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",d="result = activation(result);");var m=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+h+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+f[0]+" * "+p[0]+");\n          result += ("+f[1]+" * "+p[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "},jz=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(t-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(t-1)+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}(),Uz=function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},qz=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;var t=e.length;if(0===t)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=oB("rc",t),r=xB(t),i=function(e,t,n){if(1===e)return"rc > "+t[0];for(var r="",i=e-2;i<e;i++)r+=n[i]+" >= "+t[i],i<e-1&&(r+="||");return r}(t,e,n),a=function(e,t,n,r){if(1===e)return"";var i=r.slice(-2);return"\n    int r = "+i[0]+";\n    int c = "+i[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+t+";\n    bool rEdge = rp1 >= "+n+";\n  "}(t,e[e.length-1],e[e.length-2],n),o=function(e,t){var n=e.length,r=function(e,t){for(var n=[],r=0;r<=1;r++)for(var i=0;i<=1;i++){for(var a=(0===r?"r":"rp1")+", "+(0===i?"c":"cp1"),o=2;o<e;o++)a=t[t.length-1-o]+","+a;n.push(a)}return n}(n,t);return 1===n?"getA(rc),\n            rc + 1 >= "+e[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(e,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+i+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+o+"));\n          }\n        }\n      "}},Wz=function(e,t,n){this.variableNames=["x"],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,i=xB(r),a=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+i+" start = "+i+"("+a+");\n      "+i+" end = "+i+"("+o+");\n\n      void main() {\n        "+i+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+i+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Vz=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));for(var r=e.length,i=xB(r),a=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=oB("rc",r),u=oB("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",f=[i+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],p=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="",d=0,m=1===r?2:4;d<m;d++)h+="\n        "+f[d]+"\n        if ("+p+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+i+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";h+=1===r?"} ":"}}",this.userCode="\n      const "+i+" start = "+i+"("+a+");\n      const "+i+" end = "+i+"("+o+");\n\n      void main() {\n        "+i+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+h+"\n        setOutput(result);\n      }\n    "},$z=function(e,t,n){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var r=e.filterWidth,i=e.strideHeight,a=e.strideWidth,o=e.dilationHeight,s=e.dilationWidth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,l=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var p="avg"===t,h="0.0";if(p||(h="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+a+");\n        const ivec2 pads = ivec2("+l+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+o+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+c+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var d=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(d="avgValue / count");var m=4*Math.floor(r/4),g=r%4,v="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+a+");\n      const ivec2 pads = ivec2("+l+", "+f+");\n      const float initializationValue = "+h+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+h+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+o+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+v+"\n          }\n\n          int xC = xCCorner + "+m+";\n          if ("+(1===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(2===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+v+"\n          } else if ("+(3===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+v+"\n          }\n        }\n        setOutput("+d+");\n      }\n    "}},Hz=function(e,t,n){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var r=e.filterWidth,i=e.strideDepth,a=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,l=e.effectiveFilterDepth,f=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,d=e.padInfo.top,m=e.padInfo.left;this.outputShape=e.outShape;var g="avg"===t,v="0.0";if(g||(v="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+i+", "+a+", "+o+");\n        const ivec3 pads = ivec3("+h+", "+d+", "+m+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+l+";\n              wD += "+s+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+u+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+p+";\n                  wC += "+c+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition =\n                      wD * "+f+" * "+p+" +\n                      wR * "+p+" + wC;;\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(y="avgValue / count");var b=4*Math.floor(r/4),x=r%4,w="\n      if ("+g+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+i+", "+a+", "+o+");\n      const ivec3 pads = ivec3("+h+", "+d+", "+m+");\n      const float initializationValue = "+v+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+v+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+b+"; wC += 4) {\n              int xC = xCCorner + wC * "+c+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+c+", ch)\n              );\n\n              "+w+"\n            }\n\n            int xC = xCCorner + "+b+";\n            if ("+(1===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(2===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(3===x)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                initializationValue\n              );\n\n              "+w+"\n            }\n          }\n          setOutput("+y+");\n        }\n      }\n    "}},Gz=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,i=e.inSize,a=Math.ceil(i/n);this.outputShape=[r,a];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 1e-20",s="min"):"max"===t&&(o="-1.0 / 1e-20",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,f="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",p="vec4";"all"===t?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",p="bvec4"):"any"===t&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",p="bvec4");var h="";i%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+h+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===l)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===l)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "},Kz=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var n="",r=0;r<4;r++){var i="thisRC = rc;";r%2==1&&(i+="thisRC.z += 1;"),r>1&&(i+="thisRC.y += 1;"),n+="\n        "+i+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+uB(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+cB(e)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+e[1]+";\n        int cols = "+e[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "},Xz=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,i=r[1],a=r[2],o=e.shape,s=o[1],u=o[2],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],p=c[1]/l[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(i-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Yz=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var i=e[0],a=e[1],o=e[2],s=e[3];this.outputShape=[i,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},Jz=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],a=e[1],o=e[2],s=e[3];this.outputShape=[i,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+o+".0,\n                                     "+o+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Zz=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,i=r[1],a=r[2],o=e.shape,s=o[1],u=o[2],c=[n&&s>1?i-1:i,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=c[0]/l[0],p=c[1]/l[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Qz=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var i=e[0],a=e[1],o=e[2],s=e[3];this.outputShape=[i,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?o-1:o],c=[r&&t>1?t-1:t,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},eP=function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map((function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),i=xB(n);this.userCode="\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "},tP=function(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=e;var r=oB("rc",n),i=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],o=xB(n);function s(n){var r=e.map((function(r,i){return function(n,r){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - "+r[n]+" - 1":""+r[n]}(i,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+e[0]+" - rc - 1),\n            "+e[0]+" - rc - 1);\n          if("+i+"){\n              result.g = getChannel(getX("+e[0]+" - (rc  + 1) - 1),\n                "+e[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+o+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(e){return s(e)}(r.slice())+";\n          if("+i+"){\n            result.g = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",s(e)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(e){return e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            if("+i+") {\n              result.a = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},nP=function(e,t,n,r,i,a,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=xB(i.length),u=xB(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",f="";1===r?f="i":2===r&&(f="i, coords[1]");var p="getUpdates("+f+")",h=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+i+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+h+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+p+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},rP=function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,i=e.inSize,a=e.numSegments,o=a*Math.ceil(i/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";i%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return initializationValue;\n        }\n      ");var f="";i%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+i+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},iP=function(e,t,n){var r,i;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)i="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+a[u]),u<e&&o.push(""+a[u]);r=o.join(),i=s.join()}var c=xB(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+i+"));\n        } else {\n          setOutput(getB("+i+"));\n        }\n      }\n    "},aP=function(){function e(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t,n=xB(this.rank),r="uniform int start["+this.rank+"];",i=function(e){if(1===e)return"sourceLoc";if(e<=6)return oP.slice(0,e).map((function(e){return"sourceLoc."+e})).join(",");throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);t="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+e.map((function(e,t){return"sourceLoc."+oP[t]+" = start["+t+"] + coords."+oP[t]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+t+"\n        setOutput(getSource("+i+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}(),oP=["x","y","z","w","u","v"],sP=function(){function e(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;var t=xB(this.rank),n=oB("coords",this.rank),r=oB("sourceLoc",this.rank),i=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+i+")",o="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+e[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+t+"("+e.map((function(e,t){return"start["+t+"]"})).join()+");":e.map((function(e,t){return r[t]+" = "+n[t]+" + start["+t+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+t+" coords = getOutputCoords();\n        "+t+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+o+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}(),uP=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,i=xB(n.length),a=xB(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map((function(e,t){return s++,1===n.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(s-1)+"] * strides["+t+"] + begin["+t+"]"})).join(",")}this.userCode="\n      "+i+" begin = "+i+"("+e+");\n      "+i+" strides = "+i+"("+t+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "},cP=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t,n){var r,i=lP(t,n),a=fP(e,i,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}return this.numUsedTextures++,this.log(),i===GT.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):i===GT.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):i===GT.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):i===GT.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):i===GT.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(r),r},e.prototype.releaseTexture=function(e,t,n,r){if(null!=this.freeTextures){var i=fP(t,lP(n,r),r);i in this.freeTextures||(this.freeTextures[i]=[]),this.freeTextures[i].push(e),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[i],o=a.indexOf(e);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(o,1),this.log()}},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));for(var t in this.usedTextures)this.usedTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function lP(e,t){if(e===HT.UPLOAD)return GT.PACKED_2X2_FLOAT32;if(e===HT.RENDER||null==e)return function(e){return dM().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?GT.PACKED_2X2_FLOAT32:GT.UNPACKED_FLOAT32:e?GT.PACKED_2X2_FLOAT16:GT.UNPACKED_FLOAT16}(t);if(e===HT.DOWNLOAD||e===HT.PIXELS)return GT.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+e)}function fP(e,t,n){return e[0]+"_"+e[1]+"_"+t+"_"+n}var pP=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var i=xB(this.rank),a=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],i=0;i<e.length;i++)r.push("imod("+n[i]+", "+e[i]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+i+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "},hP=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var i=xB(this.rank),a=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),i=0;i<e.length;i++)r[e[i]]=n[i];return r.join()}(t);this.userCode="\n    void main() {\n      "+i+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "},dP=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var i=xB(this.rank),a=aB("rc",this.rank),o=new Array(this.rank);for(r=0;r<t.length;r++)o[t[r]]=a[r];var s="vec2("+o.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+o.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+i+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "},mP=function(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      float unaryOperation(float x) {\n        "+t+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},gP="if (isnan(x)) return x;",vP="return abs(x);",yP=gP+"\n  return (x < 0.0) ? 0.0 : x;\n",bP=gP+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",xP="return (x >= 0.0) ? x : (exp(x) - 1.0);",wP="return -x;",EP="return ceil(x);",CP="return floor(x);",SP="return exp(x);",NP="return exp(x) - 1.0;",AP="return x;",kP="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",DP="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",_P="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",MP=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},TP=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;var t=e.length,n=oB("rc",t),r=xB(t),i=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(t,n),a=n.slice(-2),o=t<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+i+");\n\n        setOutput(getChannel(packedInput, "+o+"));\n      }\n    "},OP={};function IP(e,t){if(void 0===t&&(t=!1),"linear"===e)return"return x;";if("relu"===e)return t?kP:yP;if("elu"===e)return t?_P:xP;if("relu6"===e)return t?DP:bP;if("prelu"===e)return t?FB:OB;throw new Error("Activation "+e+" has not been implemented for the WebGL backend.")}var FP=function(e){function t(t){var n,r=e.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!dM().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==t){var i=JT(dM().getNumber("WEBGL_VERSION"));r.binaryCache=((n=dM().getNumber("WEBGL_VERSION"))in OP||(OP[n]={}),OP[n]),r.gpgpu=new Tz(i),r.canvas=i.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=t,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=t.gl.canvas;return r.textureManager=new cP(r.gpgpu),r.numMBBeforeWarning=null==dM().global.screen?1024:dM().global.screen.height*dM().global.screen.width*window.devicePixelRatio*600/1024/1024,r.texData=new yR(r,qT),r}return cM(t,e),t.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},t.prototype.write=function(e,t,n){if(dM().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:HT.UPLOAD}),r},t.prototype.move=function(e,t,n,r){if(dM().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:HT.UPLOAD})},t.prototype.readSync=function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,i=t.complexTensors,a=t.slice,o=t.shape,s=t.isPacked;if(null!=a){var u;u=s?new MP(o,AP):new mP(o,AP);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var f,p,h=null!=this.activeTimers;return h&&(f=cT()),p="complex64"===r?jR(i.real.dataSync(),i.imag.dataSync()):this.getValuesFromTexture(e),h&&(this.downloadWaitMs+=cT()-f),this.convertAndCacheOnCPU(e,p)},t.prototype.read=function(e){return lM(this,void 0,void 0,(function(){var t,n,r,i,a,o,s,u,c,l,f,p,h,d,m,g,v,y,b,x,w,E;return fM(this,(function(C){switch(C.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise((function(e){return t.push(e)}))];if(n=this.texData.get(e),r=n.values,i=n.shape,a=n.slice,o=n.dtype,s=n.complexTensors,u=n.isPacked,null!=a)return c=u?new MP(i,AP):new mP(i,AP),l=this.runWebGLProgram(c,[{dataId:e,shape:i,dtype:o}],o),f=this.read(l.dataId),this.disposeData(l.dataId),[2,f];if(null!=r)return[2,this.convertAndCacheOnCPU(e)];if(!dM().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===dM().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==o&&dM().get("WEBGL_BUFFER_SUPPORTED")&&(h=this.decode(e),d=this.texData.get(h.dataId),p=(E=this.gpgpu).createBufferFromTexture.apply(E,[d.texture].concat(QT(i)))),this.pendingRead.set(e,[]),"complex64"===o?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:C.sent(),C.label=2;case 2:return"complex64"!==o?[3,4]:[4,Promise.all([s.real.data(),s.imag.data()])];case 3:return g=C.sent(),v=g[0],y=g[1],m=jR(v,y),[3,5];case 4:null==p?m=this.getValuesFromTexture(e):(b=FM(i),m=this.gpgpu.downloadFloat32MatrixFromBuffer(p,b)),C.label=5;case 5:return null!=h&&this.disposeData(h.dataId),x=this.convertAndCacheOnCPU(e,m),w=this.pendingRead.get(e),this.pendingRead.delete(e),w.forEach((function(e){return e(x)})),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),[2,x]}}))}))},t.prototype.checkNumericalProblems=function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!rO(n)){if(dM().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},t.prototype.getValuesFromTexture=function(e){var t,n=this.texData.get(e),r=n.shape,i=n.dtype,a=n.isPacked,o=FM(r);if(dM().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var s=this.decode(e),u=this.texData.get(s.dataId),c=(t=this.gpgpu).downloadMatrixFromPackedTexture.apply(t,[u.texture].concat(QT(r))).subarray(0,o);return this.disposeData(s.dataId),c}var l=dM().getBool("WEBGL_PACK")&&!0===a,f=l?OO(r):r,p=l?new oz(f):new az(f),h=this.runWebGLProgram(p,[{shape:f,dtype:i,dataId:e}],"float32"),d=this.texData.get(h.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture,d.texShape[0],d.texShape[1]).subarray(0,o);return this.disposeData(h.dataId),m},t.prototype.time=function(e){return lM(this,void 0,void 0,(function(){var t,n,r,i,a,o,s;return fM(this,(function(u){switch(u.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),i=IM(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),a=IM(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e})),this.activeTimers=t,r&&(this.programTimersStack=null),o={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(i)]:[3,2];case 1:return s=u.sent(),o.kernelMs=_M(s),o.getExtraProfileInfo=function(){return s.map((function(e,t){return{name:a[t],ms:e}})).map((function(e){return e.name+": "+e.ms})).join(", ")},[3,3];case 2:o.kernelMs={error:"WebGL query timers are not supported in this environment."},u.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,o]}}))}))},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},t.prototype.startTimer=function(){return dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:cT(),endMs:null}},t.prototype.endTimer=function(e){return dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=cT(),e)},t.prototype.getQueryTime=function(e){return lM(this,void 0,void 0,(function(){var t;return fM(this,(function(n){return dM().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]}))}))},t.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e)){if(this.pendingRead.has(e))return this.pendingDisposal.add(e),void this.pendingDeletes++;if(this.texData.has(e)){this.releaseGPUData(e);var t=this.texData.get(e).complexTensors;null!=t&&(t.real.dispose(),t.imag.dispose()),this.texData.delete(e)}}},t.prototype.releaseGPUData=function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,i=t.texShape,a=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(i,r),this.textureManager.releaseTexture(n,i,a,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},t.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},t.prototype.getDataInfo=function(e){return this.texData.get(e)},t.prototype.getCPUBackend=function(){return dM().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=qT.findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=128),null!=this.getCPUBackend()&&e.every((function(e){return null==n.texData.get(e.dataId).texture&&e.size<t}))},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.complex=function(e,t){var n=this.makeOutput(e.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:qT.keep(e.clone()),imag:qT.keep(t.clone())},n},t.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},t.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},t.prototype.slice=function(e,t,n){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.slice(e,t,n);if(0===FM(n))return II([],n,e.dtype);var r=this.texData.get(e.dataId).isPacked,i=oR(e.shape,t,n);if(r||!i){var a=dM().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new sP(n):new aP(n),o=a.getCustomSetupFunc(t);return this.compileAndRun(a,[e],null,o)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,t,n)},t.prototype.shallowSlice=function(e,t,n){var r=this.texData.get(e.dataId),i=this.makeOutput(n,e.dtype),a=this.texData.get(i.dataId);Object.assign(a,r),a.shape=n,a.dtype=e.dtype;var o=sR(t,e.strides);r.slice&&(o+=r.slice.flatOffset),a.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),i},t.prototype.stridedSlice=function(e,t,n,r){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.stridedSlice(e,t,n,r);var i=rR(t,n,r);if(i.some((function(e){return 0===e})))return II([],i);var a=new uP(t,r,i);return this.compileAndRun(a,[e])},t.prototype.reverse=function(e,t){var n=dM().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new tP(e.shape,t):new eP(e.shape,t);return this.compileAndRun(n,[e])},t.prototype.concat=function(e,t){if("complex64"===e[0].dtype){var n=e.map((function(e){return TI(e)})),r=e.map((function(e){return OI(e)}));return MI(this.concat(n,t),this.concat(r,t))}if(this.shouldExecuteOnCPU(e))return this.cpuBackend.concat(e,t);if(1===e.length)return e[0];if(e.length>dM().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(e.length/2),a=this.concat(e.slice(0,i),t),o=this.concat(e.slice(i),t);return this.concat([a,o],t)}if(dM().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].rank>1){var s=new jB(e.map((function(e){return e.shape})),t);return this.compileAndRun(s,e)}var u=DI(e.map((function(e){return e.shape})),t),c=e.map((function(e){return e.as2D(-1,FM(e.shape.slice(t)))})),l=new LB(c.map((function(e){return e.shape})));return this.compileAndRun(l,c).reshape(u)},t.prototype.neg=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.neg(e);if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,wP,e.dtype);var t=new mP(e.shape,wP);return this.compileAndRun(t,[e])},t.prototype.batchMatMul=function(e,t,n,r){var i=n?e.shape[2]:e.shape[1],a=r?t.shape[1]:t.shape[2],o=n?e.shape[1]:e.shape[2],s=e.shape[0];if((1===i||1===a)&&o>1e3){n&&(e=e.transpose([0,2,1])),r&&(t=t.transpose([0,2,1]));var u=1===a?e:e.as3D(s,o,1),c=1===a?2:1,l=1===a?t.as3D(s,1,o):t;return this.multiply(u,l).sum(c,!0)}var f=IT(e.dtype,t.dtype),p=new Lz(e.shape,[s,i,a],n,r);return this.compileAndRun(p,[e,t],f)},t.prototype.fusedBatchMatMul=function(e){var t=e.a,n=e.b,r=e.transposeA,i=e.transposeB,a=e.bias,o=e.activation,s=e.preluActivationWeights,u=r?t.shape[2]:t.shape[1],c=i?n.shape[1]:n.shape[2],l=t.shape[0],f=IT(t.dtype,n.dtype),p=null!=a,h=null!=s,d=o?IP(o,!0):null,m=new Lz(t.shape,[l,u,c],r,i,p,d,h),g=[t,n];return a&&g.push(a),s&&g.push(s),this.compileAndRun(m,g,f)},t.prototype.multiply=function(e,t){if("complex64"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),i=new DB("return areal * breal - aimag * bimag;",e.shape,t.shape),a=new DB("return areal * bimag + aimag * breal;",e.shape,t.shape),o=[this.makeComplexComponentTensorInfo(e,n.complexTensors.real),this.makeComplexComponentTensorInfo(e,n.complexTensors.imag),this.makeComplexComponentTensorInfo(t,r.complexTensors.real),this.makeComplexComponentTensorInfo(t,r.complexTensors.imag)],s=this.compileAndRun(i,o),u=this.compileAndRun(a,o),c=this.complex(s,u);return s.dispose(),u.dispose(),c}if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.multiply(e,t);if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,TB,e.dtype);var l=new IB(TB,e.shape,t.shape);return this.compileAndRun(l,[e,t],e.dtype)},t.prototype.batchNormalization=function(e,t,n,r,i,a){var o=[e,t,n],s=null;null!=a&&(s=a.shape,o.push(a));var u=null;if(null!=i&&(u=i.shape,o.push(i)),dM().getBool("WEBGL_PACK_NORMALIZATION")){var c=new kB(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(c,o)}var l=new AB(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,o)},t.prototype.localResponseNormalization4D=function(e,t,n,r,i){var a=dM().getBool("WEBGL_PACK_NORMALIZATION")?new Bz(e.shape,t,n,r,i):new Fz(e.shape,t,n,r,i);return this.compileAndRun(a,[e])},t.prototype.LRNGrad=function(e,t,n,r,i,a,o){var s=new Rz(t.shape,r,i,a,o);return this.compileAndRun(s,[t,n,e])},t.prototype.tile=function(e,t){if("string"===e.dtype){var n=this.readSync(e.dataId).map((function(e){return pT(e)}));return QR(dF(e.shape,e.dtype,n),t)}var r=new pP(e.shape,t);return this.compileAndRun(r,[e])},t.prototype.pad=function(e,t,n){var r=dM().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Vz(e.shape,t,n):new Wz(e.shape,t,n);return this.compileAndRun(r,[e])},t.prototype.transpose=function(e,t){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.transpose(e,t);var n=dM().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new dP(e.shape,t):new hP(e.shape,t);return this.compileAndRun(n,[e])},t.prototype.gather=function(e,t,n){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.gather(e,t,n);var r=new fz(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},t.prototype.batchToSpaceND=function(e,t,n){MM(e.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=t.reduce((function(e,t){return e*t})),i=WF(e.shape,t,r),a=VF(i.length,t.length),o=$F(e.shape,t,r),s=HF(n,t.length),u=GF(o,n,t.length);return e.reshape(i).transpose(a).reshape(o).slice(s,u)},t.prototype.spaceToBatchND=function(e,t,n){MM(e.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=t.reduce((function(e,t){return e*t})),i=[[0,0]];i.push.apply(i,n);for(var a=1+t.length;a<e.shape.length;++a)i.push([0,0]);var o=e.pad(i),s=WF(o.shape,t,r,!1),u=VF(s.length,t.length,!1),c=$F(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(c)},t.prototype.reduce=function(e,t,n){var r=e.shape[0],i=e.shape[1],a=YF(i),o=new Gz({windowSize:a,inSize:i,batchSize:r},t),s=this.compileAndRun(o,[e],n);return 1===s.shape[1]?s:this.reduce(s,t,n)},t.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],i=e.shape[1];null!=n&&(r=n.shape[0],i=n.shape[1]);var a=YF(i),o=new iB({windowSize:a,inSize:i,batchSize:r},t,null==n),s=[e];null!=n&&s.push(n);var u=this.compileAndRun(o,s,"int32");return 1===u.shape[1]?u:this.argReduce(e,t,u)},t.prototype.argReducePacked=function(e,t,n){void 0===n&&(n=null);var r=null!=n?n.shape:e.shape,i=YF(r[r.length-1]),a=new CB(r,i,t,null==n),o=null==n?[e]:[e,n],s=this.compileAndRun(a,o,"int32");return s.rank===e.rank?this.argReducePacked(e,t,s):s},t.prototype.sum=function(e,t){CI("sum",t,e.rank);var n=wI(e.shape,t),r=n[0],i=FM(n[1]),a=e.as2D(-1,i),o=FT(e.dtype);return this.reduce(a,"sum",o).reshape(r)},t.prototype.prod=function(e,t){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.prod(e,t);var n=wI(e.shape,t),r=n[0],i=FM(n[1]),a=e.as2D(-1,i),o=FT(e.dtype);return this.reduce(a,"prod",o).reshape(r)},t.prototype.unsortedSegmentSum=function(e,t,n){var r=0,i=SI([r],e.rank),a=e;null!=i&&(a=e.transpose(i),r=AI(1,e.rank)[0]);var o=function(e,t,n){for(var r=[],i=e.length,a=0;a<i;a++)a!==t?r.push(e[a]):r.push(n);return r}(a.shape,r,n),s=FM([a.shape[r]]),u=a.as2D(-1,s),c=FT(e.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",t,c,n).reshape(o);return null!=i&&(l=l.transpose(NI(i))),l},t.prototype.segOpCompute=function(e,t,n,r,i){var a=e.shape[0],o=e.shape[1],s=function(e,t){var n,r=!1;for(e<=30?(n=e,r=!0):n=rT(e,Math.floor(Math.sqrt(e)));!r;)n>t||n===e?r=!0:n=rT(e,n+1);return n}(o,i),u=new rP({windowSize:s,inSize:o,batchSize:a,numSegments:i},t),c=this.compileAndRun(u,[e,n],r);return c.shape[1]===i?c:(n=GI(0,i).tile([o/s]),this.segOpCompute(c,t,n,r,i))},t.prototype.argMinMaxReduce=function(e,t,n){var r=[t];if(CI("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,e.rank),!dM().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var i=wI(e.shape,r),a=i[0],o=FM(i[1]),s=e.as2D(-1,o);return this.argReduce(s,n).reshape(a)}return this.argReducePacked(e,n)},t.prototype.argMin=function(e,t){return this.argMinMaxReduce(e,t,"min")},t.prototype.argMax=function(e,t){return this.argMinMaxReduce(e,t,"max")},t.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);var i=new QB(e.shape,n,r);return this.compileAndRun(i,[e])},t.prototype.equal=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(equal(a, b));\n","bool");var n=new IB("return float(a == b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.notEqual=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(notEqual(a, b));\n","bool");var n=new IB("return float(a != b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.less=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.less(e,t);if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThan(a, b));\n","bool");var n=new IB("return float(a < b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.lessEqual=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new IB("return float(a <= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.greater=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.greater(e,t);if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new IB("return float(a > b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.greaterEqual=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new IB("return float(a >= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.logicalNot=function(e){var t=new mP(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},t.prototype.logicalAnd=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new IB("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.logicalOr=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new IB("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},t.prototype.select=function(e,t,n){var r=new iP(e.rank,t.shape,t.rank);return this.compileAndRun(r,[e,t,n],IT(t.dtype,n.dtype))},t.prototype.where=function(e){dI("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return tB(e.shape,t)},t.prototype.topk=function(e,t,n){return eB(e.dataSync(),e.shape,e.dtype,t)},t.prototype.min=function(e,t){CI("min",t,e.rank);var n=wI(e.shape,t),r=n[0],i=FM(n[1]),a=e.as2D(-1,i);return this.reduce(a,"min",a.dtype).reshape(r)},t.prototype.minimum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.minimum(e,t);var n=dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new RB("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new IB("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.mod=function(e,t){var n=dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new RB("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new IB("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.max=function(e,t){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.max(e,t);CI("max",t,e.rank);var n=wI(e.shape,t),r=n[0],i=FM(n[1]),a=e.as2D(-1,i);return this.reduce(a,"max",a.dtype).reshape(r)},t.prototype.maximum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.maximum(e,t);var n=dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new RB("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new IB("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.all=function(e,t){CI("all",t,e.rank);var n=wI(e.shape,t),r=n[0],i=FM(n[1]),a=e.as2D(-1,i);return this.reduce(a,"all",a.dtype).reshape(r)},t.prototype.any=function(e,t){CI("any",t,e.rank);var n=wI(e.shape,t),r=n[0],i=FM(n[1]),a=e.as2D(-1,i);return this.reduce(a,"any",a.dtype).reshape(r)},t.prototype.realDivide=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n","float32",!0);var n=new IB("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",e.shape,t.shape);return this.compileAndRun(n,[e,t],"float32")},t.prototype.floorDiv=function(e,t){if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new IB("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",e.shape,t.shape);return this.compileAndRun(n,[e,t],"int32")},t.prototype.add=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,_B);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.add(e,t);var n=IT(e.dtype,t.dtype);if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,_B,n);var r=new IB(_B,e.shape,t.shape);return this.compileAndRun(r,[e,t],n)},t.prototype.packedUnaryOp=function(e,t,n){var r=new MP(e.shape,t);return this.compileAndRun(r,[e],n)},t.prototype.packedBinaryOp=function(e,t,n,r,i){void 0===i&&(i=!1);var a=new RB(n,e.shape,t.shape,i);return this.compileAndRun(a,[e,t],r)},t.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,i=this.texData.get(e.dataId),a=this.texData.get(t.dataId),o=[[i.complexTensors.real,a.complexTensors.real],[i.complexTensors.imag,a.complexTensors.imag]].map((function(i){var a=i[0],o=i[1],s=r.makeComplexComponentTensorInfo(e,a),u=r.makeComplexComponentTensorInfo(t,o),c=new IB(n,e.shape,t.shape);return r.compileAndRun(c,[s,u],IT(a.dtype,o.dtype))})),s=o[0],u=o[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},t.prototype.makeComplexComponentTensorInfo=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},t.prototype.addN=function(e){if(1===e.length)return e[0];if(e.length>dM().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var t=Math.floor(e.length/2),n=this.addN(e.slice(0,t)),r=this.addN(e.slice(t));return this.addN([n,r])}var i=e.map((function(e){return e.dtype})).reduce((function(e,t){return IT(e,t)})),a=e.map((function(e){return e.shape})),o=dM().getBool("WEBGL_PACK")?new rB(e[0].shape,a):new nB(e[0].shape,a);return this.compileAndRun(o,e,i)},t.prototype.subtract=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,MB);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.subtract(e,t);var n=IT(e.dtype,t.dtype);if(dM().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,MB,e.dtype);var r=new IB(MB,e.shape,t.shape);return this.compileAndRun(r,[e,t],n)},t.prototype.pow=function(e,t){var n=dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new RB("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new IB("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=IT(e.dtype,t.dtype);return this.compileAndRun(n,[e,t],r)},t.prototype.ceil=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.ceil(e);if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,EP,e.dtype);var t=new mP(e.shape,EP);return this.compileAndRun(t,[e])},t.prototype.floor=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.floor(e);if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,CP,e.dtype);var t=new mP(e.shape,CP);return this.compileAndRun(t,[e])},t.prototype.sign=function(e){var t=new mP(e.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])},t.prototype.isNaN=function(e){var t=new mP(e.shape,"return float(isnan(x));");return this.compileAndRun(t,[e],"bool")},t.prototype.isInf=function(e){var t=new mP(e.shape,"return float(isinf(x));");return this.compileAndRun(t,[e],"bool")},t.prototype.isFinite=function(e){var t=new mP(e.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(t,[e],"bool")},t.prototype.round=function(e){var t=new mP(e.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(t,[e])},t.prototype.exp=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.exp(e);if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,SP,e.dtype);var t=new mP(e.shape,SP);return this.compileAndRun(t,[e])},t.prototype.expm1=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.expm1(e);if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,NP,e.dtype);var t=new mP(e.shape,NP);return this.compileAndRun(t,[e])},t.prototype.softmax=function(e,t){var n=qM([t],e.shape),r=this.max(e,n),i=EI(r.shape,n),a=this.subtract(e,r.reshape(i)),o=this.exp(a),s=this.sum(o,n).reshape(i);return this.realDivide(o,s)},t.prototype.log=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.log(e);if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",e.dtype);var t=new mP(e.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(t,[e])},t.prototype.log1p=function(e){var t=new mP(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},t.prototype.sqrt=function(e){var t=new mP(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},t.prototype.rsqrt=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.rsqrt(e);var t=new mP(e.shape,"return inversesqrt(x);");return this.compileAndRun(t,[e])},t.prototype.reciprocal=function(e){var t=new mP(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},t.prototype.relu=function(e){var t;return t=dM().getBool("WEBGL_PACK")?new MP(e.shape,kP):new mP(e.shape,yP),this.compileAndRun(t,[e])},t.prototype.relu6=function(e){var t;return t=dM().getBool("WEBGL_PACK")?new MP(e.shape,DP):new mP(e.shape,bP),this.compileAndRun(t,[e])},t.prototype.prelu=function(e,t){var n=dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new RB(FB,e.shape,t.shape):new IB(OB,e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.elu=function(e){if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,_P,e.dtype);var t=new mP(e.shape,xP);return this.compileAndRun(t,[e])},t.prototype.eluDer=function(e,t){var n=dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new RB("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",e.shape,t.shape):new IB("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.selu=function(e){var t=new mP(e.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(t,[e])},t.prototype.int=function(e){var t=new mP(e.shape,"return float(int(x));");return this.compileAndRun(t,[e],"int32")},t.prototype.clip=function(e,t,n){var r,i=(r=dM().getBool("WEBGL_PACK_CLIP")?new zB(e.shape):new BB(e.shape)).getCustomSetupFunc(t,n);return this.compileAndRun(r,[e],null,i)},t.prototype.abs=function(e){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.abs(e);if(dM().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,vP,e.dtype);var t=new mP(e.shape,vP);return this.compileAndRun(t,[e])},t.prototype.complexAbs=function(e){var t=this.texData.get(e.dataId),n=new PB(e.shape),r=[this.makeComplexComponentTensorInfo(e,t.complexTensors.real),this.makeComplexComponentTensorInfo(e,t.complexTensors.imag)];return this.compileAndRun(n,r)},t.prototype.sigmoid=function(e){var t=new mP(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])},t.prototype.softplus=function(e){var t=new mP(e.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(t,[e])},t.prototype.sin=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(t,[e])},t.prototype.cos=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(t,[e])},t.prototype.tan=function(e){var t=new mP(e.shape,"return tan(x);");return this.compileAndRun(t,[e])},t.prototype.asin=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n");return this.compileAndRun(t,[e])},t.prototype.acos=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n");return this.compileAndRun(t,[e])},t.prototype.atan=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(t,[e])},t.prototype.atan2=function(e,t){var n=dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new RB("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new IB("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},t.prototype.sinh=function(e){var t=new mP(e.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},t.prototype.cosh=function(e){var t=new mP(e.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},t.prototype.tanh=function(e){var t=new mP(e.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(t,[e])},t.prototype.asinh=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(t,[e])},t.prototype.acosh=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));");return this.compileAndRun(t,[e])},t.prototype.atanh=function(e){var t=new mP(e.shape,"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;");return this.compileAndRun(t,[e])},t.prototype.erf=function(e){var t=new mP(e.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(t,[e])},t.prototype.step=function(e,t){var n=new mP(e.shape,function(e){return void 0===e&&(e=0),gP+"\n    return x > 0.0 ? 1.0 : float("+e+");\n  "}(t));return this.compileAndRun(n,[e])},t.prototype.conv2dByMatMul=function(e,t,n,r,i,a){var o=e.shape,s=this.texData.get(e.dataId),u=n.inChannels,c=o[0]*o[1]*o[2],l=n.outChannels,f="channelsLast"===n.dataFormat,p=(1===c||1===l)&&u>1e3,h=o[2]%2!=0&&!!s.isPacked;if(p||!dM().getBool("WEBGL_LAZILY_UNPACK")||!dM().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!h){var d=f?o[0]*o[1]*o[2]:o[0]*o[2]*o[3],m=this.reshape(e,[1,d,n.inChannels]),g=this.reshape(t,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:m,b:g,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),n.outShape)}var v=f?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),y={dataId:e.dataId,shape:[1,v,n.inChannels],dtype:e.dtype},b=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,MM(RO(s.shape,y.shape),(function(){return"packed reshape "+s.shape+" to "+y.shape+" isn't free"}));var x=this.reshape(t,[1,n.inChannels,n.outChannels]),w=this.fusedBatchMatMul({a:y,b:x,transposeA:!1,transposeB:!1,bias:r,activation:i,preluActivationWeights:a}),E=this.texData.get(w.dataId);return MM(E.isPacked,(function(){return"batchMatMul result is expected to be packed"})),s.shape=b,E.shape=n.outShape,qT.makeTensorFromDataId(w.dataId,n.outShape,w.dtype)},t.prototype.conv2dWithIm2Row=function(e,t,n,r,i,a){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,f="channelsLast"===n.dataFormat,p=o*s*u,h=l*c,d=[p,h],m=e.squeeze([0]),g=t.reshape([1,p,-1]),v=new Iz(d,m.shape,n),y=this.compileAndRun(v,[m]).reshape([1,d[0],d[1]]),b=null!=r,x=null!=a,w=i?IP(i,!0):null,E=new Lz(y.shape,[1,h,n.outChannels],!0,!1,b,w,x),C=[y,g];r&&C.push(r),x&&C.push(a);var S=this.compileAndRun(E,C);return f?S.reshape([1,l,c,n.outChannels]):S.reshape([1,n.outChannels,l,c])},t.prototype.fusedConv2d=function(e){var t=e.input,n=e.filter,r=e.convInfo,i=e.bias,a=e.activation,o=e.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(t,n,r,i,a,o);if(dM().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,n,r,i,a,o);var s=null!=i,u=null!=o,c=a?IP(a,!1):null,l=new KB(r,s,c,u),f=[t,n];return i&&f.push(i),o&&f.push(o),this.compileAndRun(l,f)},t.prototype.conv2d=function(e,t,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(e,t,n);if(dM().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,n);var r=new KB(n);return this.compileAndRun(r,[e,t])},t.prototype.conv2dDerInput=function(e,t,n){var r=new WB(n);return this.compileAndRun(r,[e,t])},t.prototype.conv2dDerFilter=function(e,t,n){var r=new qB(n);return this.compileAndRun(r,[e,t])},t.prototype.fusedDepthwiseConv2D=function(e){var t,n=e.input,r=e.filter,i=e.convInfo,a=e.bias,o=e.activation,s=e.preluActivationWeights,u=dM().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels==1,c=o?IP(o,u):null,l=[n,r],f=null!=a,p=null!=s;return f&&l.push(a),p&&l.push(s),u?(t=new JB(i,f,c,p),this.compileAndRun(t,l)):(t=new YB(i,f,c,p),this.compileAndRun(t,l))},t.prototype.depthwiseConv2D=function(e,t,n){var r;return dM().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new JB(n),this.compileAndRun(r,[e,t])):(r=new YB(n),this.compileAndRun(r,[e,t]))},t.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new GB(n);return this.compileAndRun(r,[e,t])},t.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new HB(n);return this.compileAndRun(r,[e,t])},t.prototype.conv3d=function(e,t,n){var r=new XB(n);return this.compileAndRun(r,[e,t])},t.prototype.conv3dDerInput=function(e,t,n){var r=new $B(n);return this.compileAndRun(r,[e,t])},t.prototype.conv3dDerFilter=function(e,t,n){var r=new VB(n);return this.compileAndRun(r,[e,t])},t.prototype.maxPool=function(e,t){var n=new $z(t,"max",!1);return this.compileAndRun(n,[e])},t.prototype.avgPool=function(e,t){var n=new $z(t,"avg",!1);return this.compileAndRun(n,[e],"float32")},t.prototype.maxPoolBackprop=function(e,t,n,r){var i=new $z(r,"max",!0),a=this.compileAndRun(i,[t]),o=new zz(r),s=this.compileAndRun(o,[e,a],t.dtype);return a.dispose(),s},t.prototype.avgPoolBackprop=function(e,t,n){var r=new SB(n);return this.compileAndRun(r,[e],t.dtype)},t.prototype.cast=function(e,t){return BR(e,t,this)},t.prototype.unstack=function(e,t){for(var n=e.shape[t],r=new Array(e.rank-1),i=0,a=0;a<e.rank;a++)a!==t&&(r[i++]=e.shape[a]);var o=new Array(e.rank).fill(0),s=e.shape.slice();s[t]=1;var u=new Array(n);for(a=0;a<u.length;a++)o[t]=a,u[a]=this.slice(e,o,s).reshape(r);return u},t.prototype.avgPool3d=function(e,t){var n=new Hz(t,"avg",!1);return this.compileAndRun(n,[e],"float32")},t.prototype.avgPool3dBackprop=function(e,t,n){var r=new NB(n);return this.compileAndRun(r,[e],t.dtype)},t.prototype.maxPool3d=function(e,t){var n=new Hz(t,"max",!1);return this.compileAndRun(n,[e],"float32")},t.prototype.maxPool3dBackprop=function(e,t,n,r){var i=new Hz(r,"max",!0),a=this.compileAndRun(i,[t]),o=new Pz(r),s=this.compileAndRun(o,[e,a],t.dtype);return a.dispose(),s},t.prototype.reshape=function(e,t){var n=this.texData.get(e.dataId);if(n.isPacked&&!RO(e.shape,t)&&(null===n.texture||!RO(n.shape,t))){var r=this.packedReshape(e,t);return qT.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return zR(e,t)},t.prototype.resizeBilinear=function(e,t,n,r){var i=dM().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Jz(e.shape,t,n,r):new Yz(e.shape,t,n,r);return this.compileAndRun(i,[e],"float32")},t.prototype.resizeBilinearBackprop=function(e,t,n){var r=new Xz(e,t,n);return this.compileAndRun(r,[e])},t.prototype.resizeNearestNeighbor=function(e,t,n,r){var i=new Qz(e.shape,t,n,r);return this.compileAndRun(i,[e])},t.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new Zz(e,t,n);return this.compileAndRun(r,[e])},t.prototype.multinomial=function(e,t,n,r){var i=t?e:gR(e),a=i.shape[0],o=i.shape[1],s=new jz(a,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[i],"int32",u)},t.prototype.oneHot=function(e,t,n,r){var i=new Uz(e.size,t,n,r);return this.compileAndRun(i,[e])},t.prototype.diag=function(e){var t=new iz(e.size);return this.compileAndRun(t,[e])},t.prototype.nonMaxSuppression=function(e,t,n,r,i){return dI("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),HR(e.dataSync(),t.dataSync(),n,r,i)},t.prototype.cropAndResize=function(e,t,n,r,i,a){var o=new ZB(e.shape,t.shape,r,i,a);return this.compileAndRun(o,[e,t,n],"float32")},t.prototype.depthToSpace=function(e,t,n){MM(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t}));var r=e.shape[0],i="NHWC"===n?e.shape[1]:e.shape[2],a="NHWC"===n?e.shape[2]:e.shape[3],o="NHWC"===n?e.shape[3]:e.shape[1],s=i*t,u=a*t,c=o/(t*t),l=new rz("NHWC"===n?[r,s,u,c]:[r,c,s,u],t,n);return this.compileAndRun(l,[e])},t.prototype.split=function(e,t,n){return ZR(e,t,n)},t.prototype.scatterND=function(e,t,n){var r=QF(0,e,n),i=r.sliceRank,a=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/o,o],l=e.reshape([a,i]),f=t.reshape([a,o]);if(0===u)return zR(II([]),n);var p=RI(0),h=new nP(a,i,l.rank,f.rank,s,c);return this.compileAndRun(h,[f,l,p]).reshape(n)},t.prototype.sparseToDense=function(e,t,n,r){var i=QF(0,e,n),a=i.sliceRank,o=i.numUpdates,s=i.strides,u=i.outputSize,c=new nP(o,a,e.rank,t.rank,s,[u,1],!1);return this.compileAndRun(c,[t,e,r]).reshape(n)},t.prototype.fft=function(e){return this.fftImpl(e,!1)},t.prototype.ifft=function(e){return this.fftImpl(e,!0)},t.prototype.fftImpl=function(e,t){var n=this.texData.get(e.dataId),r=new cz("return real * expR - imag * expI;",e.shape,t),i=new cz("return real * expI + imag * expR;",e.shape,t),a=[this.makeComplexComponentTensorInfo(e,n.complexTensors.real),this.makeComplexComponentTensorInfo(e,n.complexTensors.imag)],o=this.compileAndRun(r,a),s=this.compileAndRun(i,a),u=this.complex(o,s).as2D(e.shape[0],e.shape[1]);return o.dispose(),s.dispose(),u},t.prototype.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],i=KF(e,t),a=i[0],o=i[1],s=i[2],u=i[3],c=t.reshape([o,r]),l=e.reshape([e.size/s,s]),f=new pz(r,u,[o,s]);return this.compileAndRun(f,[l,c]).reshape(a)},t.prototype.fill=function(e,t,n){if("string"===(n=n||tT(t))){var r=$M(n,FM(e));return r.fill(t),qT.makeTensor(r,e,n,this)}var i=new lz(e,t),a=i.getCustomSetupFunc(t);return this.compileAndRun(i,[],n,a)},t.prototype.onesLike=function(e){if("string"===e.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){return this.fill(e.shape,"string"===e.dtype?"":0,e.dtype)},t.prototype.linspace=function(e,t,n){return PR(e,t,n)},t.prototype.makeTensorInfo=function(e,t){var n=this.write(null,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}},t.prototype.makeOutput=function(e,t){var n=this.makeTensorInfo(e,t).dataId;return qT.makeTensorFromDataId(n,e,t,this)},t.prototype.unpackTensor=function(e){var t=new TP(e.shape);return this.runWebGLProgram(t,[e],e.dtype)},t.prototype.packTensor=function(e){var t=new qz(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)},t.prototype.packedReshape=function(e,t){var n=[MO(e.shape)].concat(TO(e.shape)),r={dtype:e.dtype,shape:n,dataId:e.dataId},i=[MO(t)].concat(TO(t)),a=new Kz(i,n),o=this.runWebGLProgram(a,[r],e.dtype,null,!0);return{dataId:o.dataId,shape:t,dtype:o.dtype}},t.prototype.decode=function(e){var t,n=this.texData.get(e),r=n.isPacked,i=n.shape,a=n.dtype,o=OO(i);return t=r?new nz(o):new tz(o),{dtype:a,shape:i,dataId:this.runWebGLProgram(t,[{shape:o,dtype:a,dataId:e}],a,null,!0).dataId}},t.prototype.runWebGLProgram=function(e,t,n,r,i){var a=this;void 0===i&&(i=!1);var o=this.makeTensorInfo(e.outputShape,n),s=this.texData.get(o.dataId);if(e.packedOutput&&(s.isPacked=!0),e.outPackingScheme===$T.DENSE){var u=QT(e.outputShape);s.texShape=u.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(s.usage=e.outTexUsage),0===FM(o.shape))return s.values=VM(o.dtype,0),o;var c=[],l=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=a.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&FM(t.shape)<=dM().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}else if(!!n.isPacked!=!!e.packedInputs)t=n.isPacked?a.unpackTensor(t):a.packTensor(t),c.push(t),n=a.texData.get(t.dataId);else if(n.isPacked&&!RO(n.shape,t.shape)){var r=t,i=t.shape;t.shape=n.shape,t=a.packedReshape(t,i),c.push(t),n=a.texData.get(t.dataId),r.shape=i}return a.uploadToGPU(t.dataId),{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(o.dataId);var f,p={shape:o.shape,texData:s,isUniform:!1},h=function(e,t,n){var r="";t.concat(n).forEach((function(e){var t=null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0,n=e.isUniform?"uniform":e.texData.texShape;r+=e.shape+"_"+n+"_"+t}));var i=e.userCode;return e.constructor.name+"_"+r+"_"+i}(e,l,p),d=this.getAndSaveBinary(h,(function(){return function(e,t,n,r){var i=t.userCode,a=n.map((function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),o=a.map((function(e){return e.shapeInfo})),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=fB(a,s,i,t.packedInputs),c=e.createProgram(u),l=null,f=e.getUniformLocation(c,"NAN",!1);1===dM().getNumber("WEBGL_VERSION")&&(l=e.getUniformLocation(c,"INFINITY",!1));for(var p={},h=0;h<t.variableNames.length;h++){var d=t.variableNames[h];p[d]=e.getUniformLocation(c,d,!1),p["offset"+d]=e.getUniformLocation(c,"offset"+d,!1)}return{program:t,source:u,webGLProgram:c,uniformLocations:p,inShapeInfos:o,outShapeInfo:s,infLoc:l,nanLoc:f}}(a.gpgpu,e,l,p)})),m=null!=this.activeTimers;if(m&&(f=this.startTimer()),function(e,t,n,r,i){Oz(t.inShapeInfos,n),Oz([t.outShapeInfo],[r]);var a=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(a,o[0],o[1]):e.setOutputMatrixTexture(a,o[0],o[1]),e.setProgram(t.webGLProgram),1===dM().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((function(n,r){var i=t.program.variableNames[r],a=t.uniformLocations[i],o=t.uniformLocations["offset"+i];if(null!=a)if(n.isUniform)if(FM(n.shape)<2)e.gl.uniform1f(a,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),e.gl.uniform1fv(a,s)}else null!=n.texData.slice&&null!=o&&e.gl.uniform1i(o,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture,a,r)})),null!=i&&i(e,t.webGLProgram),e.executeProgram()}(this.gpgpu,d,l,p,r),c.forEach((function(e){return a.disposeData(e.dataId)})),m&&(f=this.endTimer(f),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(f)})),!dM().getBool("WEBGL_LAZILY_UNPACK")&&s.isPacked&&!1===i){var g=this.unpackTensor(o);return this.disposeData(o.dataId),g}return o},t.prototype.compileAndRun=function(e,t,n,r,i){void 0===i&&(i=!1),n=n||t[0].dtype;var a=this.runWebGLProgram(e,t,n,r,i);return qT.makeTensorFromDataId(a.dataId,a.shape,a.dtype)},t.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){var e=this;this.disposed||(dM().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]})),this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)},t.prototype.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=tI((function(){if(!dM().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=dM().getBool("DEBUG");dM().set("DEBUG",!1);var n=e.abs(RI(1e-8)).dataSync()[0];if(dM().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue},t.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},t.prototype.uploadToGPU=function(e){var t,n=this.texData.get(e),r=n.shape,i=n.dtype,a=n.values,o=n.texture,s=n.usage,u=n.isPacked;if(null==o){var c,l=null!=this.activeTimers;l&&(c=cT());var f=n.texShape;if(null==f&&(f=IO(r,u),n.texShape=f),null!=a){var p=OO(r),h=void 0,d=f[1],m=f[0],g=a instanceof Uint8Array;u?(d=(t=eO(f[0],f[1]))[0],m=t[1],h=new uz(p,[m,d],g)):h=new sz(p,[m,d],g);var v=this.makeTensorInfo([m,d],i);this.texData.get(v.dataId).usage=g?HT.PIXELS:HT.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(v.dataId),d,m,a);var y=this.runWebGLProgram(h,[v],i,null,!0),b=this.texData.get(y.dataId);n.texture=b.texture,n.texShape=b.texShape,n.isPacked=b.isPacked,n.usage=b.usage,this.disposeData(v.dataId),this.texData.delete(y.dataId),n.values=null,l&&(this.uploadWaitMs+=cT()-c)}else{var x=this.acquireTexture(f,s,i,u);n.texture=x}}},t.prototype.convertAndCacheOnCPU=function(e,t){var n=this.texData.get(e),r=n.dtype;return this.releaseGPUData(e),null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype "+t)}(t,r)),n.values},t.prototype.acquireTexture=function(e,t,n,r){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var i=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+i+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)},t.prototype.computeBytes=function(e,t){return e[0]*e[1]*YM(t)},t}(bR);WT()&&qT.registerBackend("webgl",(function(){return new FP}),2);var RP=_I({square_:function(e){var t=vI(e,"x","square"),n=[t];return qT.runKernelFunc((function(e,n){return n([t]),e.square(t)}),{x:t},null,"Square",{},n,[])}}),BP="SquaredDifference",zP=_I({squaredDifference_:function(e,t){var n,r=vI(e,"a","squaredDifference"),i=vI(t,"b","squaredDifference");n=RT(r,i),r=n[0],i=n[1],CR(r.shape,i.shape);var 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null!=i&&(o=vI(i,"scale","batchNorm")),null!=r&&(s=vI(r,"offset","batchNorm")),MM(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),MM(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+c.rank+"."})),MM(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+l.rank+"."})),null!=o&&MM(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."})),null!=s&&MM(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),wL(u,c,l,s,o,a)}function wL(e,t,n,r,i,a){null==a&&(a=.001);var o,s,u,c=vI(e,"x","batchNorm"),l=vI(t,"mean","batchNorm"),f=vI(n,"variance","batchNorm");null!=i&&(o=vI(i,"scale","batchNorm")),null!=r&&(s=vI(r,"offset","batchNorm")),MM(l.rank===f.rank,(function(){return"Batch normalization 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Got strides "+n+" and dilations '"+r+"'"})),null!=a&&MM(BM(i),(function(){return"Error in maxPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+i+"."}));var c=SR(s.shape,t,n,r,i,a);if(1===c.filterWidth&&1===c.filterHeight&&RM(c.inShape,c.outShape))return o.clone();var l=[s],f=qT.runKernelFunc((function(e,t){var n=e.maxPool(s,c);return t([s,n]),n}),{x:s},(function(e,a){var o=a[0],s=a[1];return{x:function(){return function(e,t,n,r,i,a,o,s){var u=vI(e,"dy","maxPoolBackprop"),c=vI(t,"input","maxPoolBackprop"),l=vI(n,"output","maxPoolBackprop");MM(c.rank===u.rank,(function(){return"Rank of input ("+c.rank+") does not match rank of dy ("+u.rank+")"})),null==a&&(a=[1,1]),MM(FR(i,a),(function(){return"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+i+" and dilations '"+a+"'"})),MM(4===u.rank,(function(){return"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."})),MM(4===c.rank,(function(){return"Error in maxPoolBackprop: input must be rank 4 but got rank "+c.rank+"."}));var f=SR(c.shape,r,i,a,o,void 0);return qT.runKernelFunc((function(e){return e.maxPoolBackprop(u,c,l,f)}),{$dy:u,$input:c})}(e,o,s,t,n,r,i)}}}),"MaxPool",c,l);return u?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}function $j(e,t,n,r,i,a){var o=vI(e,"x","avgPool","float32");null==r&&(r=[1,1]),MM(FR(n,r),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"}));var s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),MM(4===s.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."})),null!=a&&MM(BM(i),(function(){return"Error in avgPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+i+"."}));var c=SR(s.shape,t,n,r,i,a);if(1===c.filterWidth&&1===c.filterHeight&&RM(c.inShape,c.outShape))return o.clone();var l=qT.runKernelFunc((function(e){return e.avgPool(s,c)}),{x:s},(function(e){return{x:function(){return function(e,t,n,r,i,a){var o=vI(e,"dy","avgPoolBackprop"),s=vI(t,"input","avgPoolBackprop");MM(s.rank===o.rank,(function(){return"Rank of input ("+s.rank+") does not match rank of dy ("+o.rank+")"})),null==i&&(i=[1,1]),MM(FR(r,i),(function(){return"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+i+"'"}));var u=s,c=o,l=!1;3===s.rank&&(l=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),c=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),MM(4===c.rank,(function(){return"Error in avgPoolBackprop: dy must be rank 4 but got rank "+c.rank+"."})),MM(4===u.rank,(function(){return"Error in avgPoolBackprop: input must be rank 4 but got rank "+u.rank+"."}));var f=SR(u.shape,n,r,i,a),p=qT.runKernelFunc((function(e){return e.avgPoolBackprop(c,u,f)}),{dy4D:c,input4D:u});return l?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}(e,s,t,n,r,i)}}}),"AvgPool",c);return l=l.cast(o.dtype),u?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}var Hj=_I({maxPool_:function(e,t,n,r,i){return Vj(e,t,n,1,r,i)}}),Gj=_I({avgPool_:function(e,t,n,r,i){return $j(e,t,n,1,r,i)}}),Kj=_I({pool_:function(e,t,n,r,i,a){null==i&&(i=[1,1]),null==a&&(a=1),0===r&&(r="valid");var o=vI(e,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),MM(FR(a,i),(function(){return"Error in pool: Either strides or dilations must be 1. 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u=i.mul(WI(r.shape)).notEqual(RI(0)).sum().toFloat();return a.sum().div(u)}throw Error("Unknown reduction: "+n)}}),KU=_I({cosineDistance_:function(e,t,n,r,i){void 0===i&&(i=LU.SUM_BY_NONZERO_WEIGHTS);var a=vI(e,"labels","cosineDistance"),o=vI(t,"predictions","cosineDistance"),s=null;null!=r&&(s=vI(r,"weights","cosineDistance")),TM(a.shape,o.shape,"Error in cosineDistance: ");var u=RI(1).sub(a.mul(o).sum(n,!0));return GU(u,s,i)}}),XU=_I({hingeLoss_:function(e,t,n,r){void 0===r&&(r=LU.SUM_BY_NONZERO_WEIGHTS);var i=vI(e,"labels","hingeLoss"),a=vI(t,"predictions","hingeLoss"),o=null;null!=n&&(o=vI(n,"weights","hingeLoss")),TM(i.shape,a.shape,"Error in hingeLoss: ");var s=RI(1);i=RI(2).mul(i).sub(s);var u=s.sub(i.mul(a)).relu();return GU(u,o,r)}}),YU=_I({huberLoss_:function(e,t,n,r,i){void 0===r&&(r=1),void 0===i&&(i=LU.SUM_BY_NONZERO_WEIGHTS);var a=vI(e,"labels","huberLoss"),o=vI(t,"predictions","huberLoss"),s=null;null!=n&&(s=vI(n,"weights","huberLoss")),TM(a.shape,o.shape,"Error in 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m=c[f+d];m>p&&(p=m,h=d)}u[l]=h}return o},t.prototype.cumsum=function(e,t,n,r){if(Cq(e,"cumsum"),t!==e.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(e.rank-1)+" but got axis="+t);for(var i=IT(e.dtype,"int32"),a=VI(e.shape,i),o=this.readSync(a.dataId),s=this.readSync(e.dataId),u=e.shape[e.rank-1],c=r?function(e,t){return e+u-t-1}:function(e,t){return e+t},l=0;l<s.length;l+=u)for(var f=0;f<u;f++){var p=c(l,f);if(0===f)o[p]=n?0:s[p];else{var h=c(l,f-1);o[p]=n?s[h]+o[h]:s[p]+o[h]}}return a},t.prototype.equal=function(e,t){return Cq([e,t],"equal"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e===t?1:0}))},t.prototype.notEqual=function(e,t){return Cq([e,t],"notEqual"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e!==t?1:0}))},t.prototype.less=function(e,t){return Cq([e,t],"less"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e<t?1:0}))},t.prototype.lessEqual=function(e,t){return Cq([e,t],"lessEqual"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e<=t?1:0}))},t.prototype.greater=function(e,t){return Cq([e,t],"greater"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e>t?1:0}))},t.prototype.greaterEqual=function(e,t){return Cq([e,t],"greaterEqual"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e>=t?1:0}))},t.prototype.logicalNot=function(e){Cq(e,"logicalNot");for(var t=this.readSync(e.dataId),n=new Uint8Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return this.makeOutput(n,e.shape,"bool")},t.prototype.logicalAnd=function(e,t){return Cq([e,t],"logicalAnd"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e&&t}))},t.prototype.logicalOr=function(e,t){return Cq([e,t],"logicalOr"),this.broadcastedBinaryOp(e,t,"bool",(function(e,t){return e||t}))},t.prototype.select=function(e,t,n){Cq([e,t,n],"select");for(var 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a},t.prototype.squaredDifference=function(e,t){return Cq([e,t],"squaredDifference"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){var n=e-t;return n*n}))},t.prototype.ceil=function(e){Cq(e,"ceil");for(var t=this.readSync(e.dataId),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return this.makeOutput(n,e.shape,"float32")},t.prototype.floor=function(e){Cq(e,"floor");for(var t=this.readSync(e.dataId),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return this.makeOutput(n,e.shape,"float32")},t.prototype.sign=function(e){Cq(e,"x");for(var t=this.readSync(e.dataId),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return this.makeOutput(n,e.shape,"float32")},t.prototype.isNaN=function(e){Cq(e,"x");for(var t=this.readSync(e.dataId),n=new Uint8Array(t.length),r=0;r<t.length;++r)Number.isNaN(t[r])&&(n[r]=1);return this.makeOutput(n,e.shape,"bool")},t.prototype.isInf=function(e){Cq(e,"x");for(var 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this.makeOutput(n,e.shape,"float32")},t.prototype.linear=function(e){return e},t.prototype.relu=function(e){Cq(e,"relu");for(var t=VI(e.shape,e.dtype),n=this.readSync(t.dataId),r=this.readSync(e.dataId),i=0;i<r.length;++i)n[i]=Math.max(0,r[i]);return t},t.prototype.relu6=function(e){Cq(e,"relu");for(var t=VI(e.shape,e.dtype),n=this.readSync(t.dataId),r=this.readSync(e.dataId),i=0;i<r.length;++i)n[i]=Math.min(Math.max(0,r[i]),6);return t},t.prototype.prelu=function(e,t){return Cq([e,t],"prelu"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){return e<0?t*e:e}))},t.prototype.elu=function(e){Cq(e,"elu");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r){var i=n[r];t[r]=i>=0?i:Math.exp(i)-1}return this.makeOutput(t,e.shape,"float32")},t.prototype.eluDer=function(e,t){Cq([e,t],"eluDer");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),i=this.readSync(e.dataId),a=0;a<r.length;++a){var o=r[a];n[a]=o>=1?i[a]:i[a]*(o+1)}return this.makeOutput(n,t.shape,"float32")},t.prototype.selu=function(e){Cq(e,"selu");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r){var i=n[r];t[r]=i>=0?1.0507009873554805*i:1.7580993408473768*(Math.exp(i)-1)}return this.makeOutput(t,e.shape,"float32")},t.prototype.clip=function(e,t,n){Cq(e,"clip");for(var r=new Float32Array(e.size),i=this.readSync(e.dataId),a=0;a<i.length;++a){var o=i[a];r[a]=o>n?n:o<t?t:o}return this.makeOutput(r,e.shape,"float32")},t.prototype.abs=function(e){for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.complexAbs=function(e){for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<e.size;++r){var i=n[2*r],a=n[2*r+1];t[r]=Math.hypot(i,a)}return this.makeOutput(t,e.shape,"float32")},t.prototype.int=function(e){Cq(e,"int");for(var t=new Int32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=n[r];return this.makeOutput(t,e.shape,"int32")},t.prototype.sigmoid=function(e){Cq(e,"sigmoid");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(t,e.shape,"float32")},t.prototype.softplus=function(e){Cq(e,"softplus");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=this.readSync(e.dataId),i=0;i<r.length;++i){var a,o=r[i]>-t,s=r[i]<t,u=Math.exp(r[i]);a=s?u:o?r[i]:Math.log(1+u),n[i]=a}return this.makeOutput(n,e.shape,"float32")},t.prototype.sin=function(e){Cq(e,"sin");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.cos=function(e){Cq(e,"cos");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.tan=function(e){Cq(e,"tan");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.asin=function(e){Cq(e,"asin");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.acos=function(e){Cq(e,"acos");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.atan=function(e){Cq(e,"atan");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.atan2=function(e,t){return Cq([e,t],"atan2"),this.broadcastedBinaryOp(e,t,e.dtype,(function(e,t){return Math.atan2(e,t)}))},t.prototype.sinh=function(e){Cq(e,"sinh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.cosh=function(e){Cq(e,"cosh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.tanh=function(e){Cq(e,"tanh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=zM(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.asinh=function(e){Cq(e,"asinh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.acosh=function(e){Cq(e,"acosh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.atanh=function(e){Cq(e,"atanh");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return this.makeOutput(t,e.shape,"float32")},t.prototype.erf=function(e){Cq(e,"erf");for(var t=new Float32Array(e.size),n=this.readSync(e.dataId),r=0;r<n.length;++r){var i=Math.sign(n[r]),a=Math.abs(n[r]),o=1/(1+.3275911*a);t[r]=i*(1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-a*a))}return this.makeOutput(t,e.shape,"float32")},t.prototype.step=function(e,t){void 0===t&&(t=0),Cq(e,"step");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),i=0;i<r.length;++i){var a=r[i];isNaN(a)?n[i]=NaN:n[i]=a>0?1:t}return this.makeOutput(n,e.shape,"float32")},t.prototype.fusedConv2d=function(e){var t=e.input,n=e.filter,r=e.convInfo,i=e.bias,a=e.activation,o=e.preluActivationWeights,s=this.conv2d(t,n,r);return i&&(s=this.add(s,i)),a&&(s=Sq(this,s,a,o)),s},t.prototype.conv2d=function(e,t,n){Cq([e,t],"conv2d");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=dF(n.outShape,e.dtype),f=e.strides[0],p=c?e.strides[1]:e.strides[2],h=c?e.strides[2]:1,d=c?1:e.strides[1],m=l.strides[0],g=c?l.strides[1]:l.strides[2],v=c?l.strides[2]:1,y=c?1:l.strides[1],b=this.readSync(e.dataId),x=this.readSync(t.dataId),w=l.values,E=0;E<n.batchSize;++E)for(var C=E*f,S=E*m,N=0;N<n.outHeight;++N)for(var A=S+N*g,k=N*n.strideHeight-u,D=0;D<r;D++){var _=k+D*a;if(!(_<0||_>=n.inHeight))for(var M=D*t.strides[0],T=C+_*p,O=0;O<n.outWidth;++O)for(var I=A+O*v,F=O*n.strideWidth-s,R=0;R<i;R++){var B=F+R*o;if(!(B<0||B>=n.inWidth))for(var z=T+B*h,P=M+R*t.strides[1],L=0;L<n.inChannels;++L){for(var j=b[z+L*d],U=0;U<n.outChannels;++U)w[I+U*y]+=j*x[P+U];P+=n.outChannels}}}return l.toTensor()},t.prototype.conv3d=function(e,t,n){for(var r=n.filterDepth,i=n.filterHeight,a=n.filterWidth,o=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,f=n.padInfo.top,p=dF(n.outShape,e.dtype),h=this.readSync(e.dataId),d=this.readSync(t.dataId),m=p.values,g=0;g<n.batchSize;++g)for(var v=g*e.strides[0],y=g*p.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*p.strides[1],w=b*n.strideDepth-c,E=0;E<r;E++){var C=w+E*o;if(!(C<0||C>=n.inDepth))for(var S=E*t.strides[0],N=v+C*e.strides[1],A=0;A<n.outHeight;++A)for(var k=x+A*p.strides[2],D=A*n.strideHeight-f,_=0;_<i;_++){var M=D+_*s;if(!(M<0||M>=n.inHeight))for(var T=S+_*t.strides[1],O=N+M*e.strides[2],I=0;I<n.outWidth;++I)for(var F=k+I*n.outChannels,R=I*n.strideWidth-l,B=0;B<a;B++){var z=R+B*u;if(!(z<0||z>=n.inWidth))for(var P=T+B*t.strides[2],L=O+z*n.inChannels,j=P,U=0;U<n.inChannels;++U){for(var q=h[L+U],W=0;W<n.outChannels;++W)m[F+W]+=q*d[j+W];j+=n.outChannels}}}}return p.toTensor()},t.prototype.conv2dDerInput=function(e,t,n){Cq([e,t],"conv2dDerInput");for(var r=dF(n.inShape,"float32"),i=r.values,a=this.readSync(e.dataId),o=this.readSync(t.dataId),s=t.strides,u=s[0],c=s[1],l=s[2],f=n.batchSize,p=n.filterHeight,h=n.filterWidth,d=n.inChannels,m=n.inHeight,g=n.inWidth,v=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,E=n.dataFormat,C=p-1-n.padInfo.top,S=h-1-n.padInfo.left,N="channelsLast"===E,A=r.strides[0],k=N?r.strides[1]:r.strides[2],D=N?r.strides[2]:1,_=N?1:r.strides[1],M=e.strides[0],T=N?e.strides[1]:e.strides[2],O=N?e.strides[2]:1,I=N?1:e.strides[1],F=0;F<f;++F)for(var R=0;R<d;++R)for(var B=0;B<m;++B)for(var z=B-C,P=Math.max(0,Math.ceil(z/x)),L=Math.min(y,(p+z)/x),j=0;j<g;++j){for(var U=j-S,q=Math.max(0,Math.ceil(U/w)),W=Math.min(b,(h+U)/w),V=0,$=P;$<L;++$)for(var H=$*x-z,G=q;G<W;++G)for(var K=M*F+T*$+O*G,X=u*(p-1-H)+c*(h-1-(G*w-U))+l*R,Y=0;Y<v;++Y)V+=a[K+I*Y]*o[X+Y];i[A*F+k*B+D*j+_*R]=V}return r.toTensor()},t.prototype.conv3dDerInput=function(e,t,n){for(var r=dF(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(e.dataId),f=e.strides,p=f[0],h=f[1],d=f[2],m=f[3],g=this.readSync(t.dataId),v=t.strides,y=v[0],b=v[1],x=v[2],w=v[3],E=n.batchSize,C=n.filterDepth,S=n.filterHeight,N=n.filterWidth,A=n.inChannels,k=n.inDepth,D=n.inHeight,_=n.inWidth,M=n.outChannels,T=n.outDepth,O=n.outHeight,I=n.outWidth,F=n.strideDepth,R=n.strideHeight,B=n.strideWidth,z=C-1-n.padInfo.front,P=S-1-n.padInfo.top,L=N-1-n.padInfo.left,j=0;j<E;++j)for(var U=0;U<A;++U)for(var q=0;q<k;++q)for(var W=q-z,V=Math.max(0,Math.ceil(W/F)),$=Math.min(T,(C+W)/F),H=0;H<D;++H)for(var G=H-P,K=Math.max(0,Math.ceil(G/R)),X=Math.min(O,(S+G)/R),Y=0;Y<_;++Y){for(var J=Y-L,Z=Math.max(0,Math.ceil(J/B)),Q=Math.min(I,(N+J)/B),ee=0,te=V;te<$;++te)for(var ne=te*F-W,re=K;re<X;++re)for(var ie=re*R-G,ae=Z;ae<Q;++ae)for(var oe=p*j+h*te+d*re+m*ae,se=y*(C-1-ne)+b*(S-1-ie)+x*(N-1-(ae*B-J))+w*U,ue=0;ue<M;++ue)ee+=l[oe+ue]*g[se+ue];i[o*j+s*q+u*H+c*Y+U]=ee}return r.toTensor()},t.prototype.conv2dDerFilter=function(e,t,n){Cq([e,t],"conv2dDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=dF(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,f=this.bufferSync(e),p=this.bufferSync(t),h=0;h<a;++h)for(var d=Math.max(0,Math.ceil((l-h)/r)),m=Math.min(n.outHeight,(n.inHeight+l-h)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((c-g)/i)),y=Math.min(n.outWidth,(n.inWidth+c-g)/i),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,E=0;E<n.batchSize;++E)for(var C=d;C<m;++C)for(var S=h+C*r-l,N=v;N<y;++N){var A=g+N*i-c;w+=s?f.get(E,S,A,b)*p.get(E,C,N,x):f.get(E,b,S,A)*p.get(E,x,C,N)}u.set(w,h,g,b,x)}return u.toTensor()},t.prototype.conv3dDerFilter=function(e,t,n){for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=dF(n.filterShape,"float32"),l=c.values,f=c.strides,p=f[0],h=f[1],d=f[2],m=f[3],g=this.readSync(t.dataId),v=t.strides,y=v[0],b=v[1],x=v[2],w=v[3],E=this.readSync(e.dataId),C=e.strides,S=C[0],N=C[1],A=C[2],k=C[3],D=n.padInfo.front,_=n.padInfo.left,M=n.padInfo.top,T=0;T<o;++T)for(var O=Math.max(0,Math.ceil((D-T)/r)),I=Math.min(n.outDepth,(n.inDepth+D-T)/r),F=T*p,R=0;R<s;++R)for(var B=Math.max(0,Math.ceil((M-R)/i)),z=Math.min(n.outHeight,(n.inHeight+M-R)/i),P=R*h+F,L=0;L<u;++L)for(var j=Math.max(0,Math.ceil((_-L)/a)),U=Math.min(n.outWidth,(n.inWidth+_-L)/a),q=L*d+P,W=0;W<n.inChannels;++W)for(var V=W*m+q,$=0;$<n.outChannels;++$){for(var H=0,G=0;G<n.batchSize;++G)for(var K=G*S,X=G*y,Y=O;Y<I;++Y)for(var J=(T+Y*r-D)*N+K,Z=Y*b+X,Q=B;Q<z;++Q)for(var ee=(R+Q*i-M)*A+J,te=Q*x+Z,ne=j;ne<U;++ne){var re=ne*w+te;H+=E[(L+ne*a-_)*k+ee+W]*g[re+$]}l[V+$]=H}return c.toTensor()},t.prototype.fusedDepthwiseConv2D=function(e){var t=e.input,n=e.filter,r=e.convInfo,i=e.bias,a=e.activation,o=e.preluActivationWeights,s=this.depthwiseConv2D(t,n,r);return i&&(s=this.add(s,i)),a&&(s=Sq(this,s,a,o)),s},t.prototype.depthwiseConv2D=function(e,t,n){Cq([e,t],"depthwiseConv2D");for(var r=n.filterHeight,i=n.filterWidth,a=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=dF(n.outShape,e.dtype),f=this.readSync(e.dataId),p=this.readSync(t.dataId),h=l.values,d=0;d<n.batchSize;++d)for(var m=d*e.strides[0],g=d*l.strides[0],v=0;v<n.outHeight;++v)for(var y=g+v*l.strides[1],b=v*n.strideHeight-s,x=0;x<r;++x){var w=b+x*a;if(!(w<0||w>=n.inHeight))for(var E=x*t.strides[0],C=m+w*e.strides[1],S=0;S<n.outWidth;++S)for(var N=y+S*l.strides[2],A=S*n.strideWidth-u,k=0;k<i;++k){var D=A+k*o;if(!(D<0||D>=n.inWidth))for(var _=E+k*t.strides[1],M=C+D*n.inChannels,T=N,O=_,I=0;I<n.inChannels;++I){for(var F=f[M+I],R=0;R<c;++R)h[T+R]+=F*p[O+R];T+=c,O+=c}}}return l.toTensor()},t.prototype.depthwiseConv2DDerInput=function(e,t,n){Cq([e,t],"depthwiseConv2DDerInput");for(var r=dF(n.inShape,"float32"),i=r.values,a=r.strides,o=a[0],s=a[1],u=a[2],c=this.readSync(e.dataId),l=e.strides,f=l[0],p=l[1],h=l[2],d=this.readSync(t.dataId),m=t.strides,g=m[0],v=m[1],y=m[2],b=n.batchSize,x=n.filterHeight,w=n.filterWidth,E=n.inChannels,C=n.inHeight,S=n.inWidth,N=n.outChannels,A=n.outHeight,k=n.outWidth,D=n.strideHeight,_=n.strideWidth,M=x-1-n.padInfo.top,T=w-1-n.padInfo.left,O=N/E,I=0;I<b;++I)for(var F=0;F<E;++F)for(var R=0;R<C;++R)for(var B=R-M,z=Math.max(0,Math.ceil(B/D)),P=Math.min(A,(x+B)/D),L=0;L<S;++L){for(var j=L-T,U=Math.max(0,Math.ceil(j/_)),q=Math.min(k,(w+j)/_),W=0,V=z;V<P;++V)for(var $=V*D-B,H=U;H<q;++H)for(var G=f*I+p*V+h*H,K=g*(x-1-$)+v*(w-1-(H*_-j))+y*F,X=0;X<O;++X)W+=c[G+(F*O+X)]*d[K+X];i[o*I+s*R+u*L+F]=W}return r.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(e,t,n){Cq([e,t],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=dF(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,f=this.bufferSync(e),p=this.bufferSync(t),h=0;h<a;++h)for(var d=Math.max(0,Math.ceil((c-h)/r)),m=Math.min(n.outHeight,(n.inHeight+c-h)/r),g=0;g<o;++g)for(var v=Math.max(0,Math.ceil((u-g)/i)),y=Math.min(n.outWidth,(n.inWidth+u-g)/i),b=0;b<n.outChannels;++b){for(var x=Math.trunc(b/l),w=b%l,E=0,C=0;C<n.batchSize;++C)for(var S=d;S<m;++S)for(var N=h+S*r-c,A=v;A<y;++A){var k=g+A*i-u;E+=f.get(C,N,k,x)*p.get(C,S,A,b)}s.set(E,h,g,x,w)}return s.toTensor()},t.prototype.tile=function(e,t){return Cq(e,"tile"),QR(this.bufferSync(e),t)},t.prototype.pad=function(e,t,n){Cq(e,"pad");var r=t.map((function(t,n){return t[0]+e.shape[n]+t[1]})),i=t.map((function(e){return e[0]})),a=this.bufferSync(e),o=dF(r,e.dtype);0!==n&&o.values.fill(n);for(var s=0;s<e.size;s++){var u=a.indexToLoc(s),c=u.map((function(e,t){return e+i[t]}));o.set.apply(o,[a.get.apply(a,u)].concat(c))}return o.toTensor()},t.prototype.transpose=function(e,t){Cq(e,"transpose");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var i=this.readSync(e.dataId),a=dF(n,e.dtype),o=this.bufferSync(e);for(r=0;r<e.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),c=0;c<u.length;c++)u[c]=s[t[c]];var l=a.locToIndex(u);a.values[l]=i[r]}return a.toTensor()},t.prototype.gather=function(e,t,n){Cq([e,t],"gather");var r=e.shape.slice(),i=this.readSync(t.dataId);r[n]=i.length;for(var a=dF(r,e.dtype),o=this.bufferSync(e),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=i[u[n]];var l=o.locToIndex(c);a.values[s]=o.values[l]}return a.toTensor()},t.prototype.batchToSpaceND=function(e,t,n){Cq([e],"batchToSpaceND");var r=t.reduce((function(e,t){return e*t})),i=WF(e.shape,t,r),a=VF(i.length,t.length),o=$F(e.shape,t,r),s=HF(n,t.length),u=GF(o,n,t.length);return e.reshape(i).transpose(a).reshape(o).slice(s,u)},t.prototype.spaceToBatchND=function(e,t,n){Cq([e],"spaceToBatchND");var r=t.reduce((function(e,t){return e*t})),i=[[0,0]];i.push.apply(i,n);for(var a=1+t.length;a<e.shape.length;++a)i.push([0,0]);var o=e.pad(i),s=WF(o.shape,t,r,!1),u=VF(s.length,t.length,!1),c=$F(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(c)},t.prototype.pool=function(e,t,n){Cq(e,"pool");for(var r=t.strideHeight,i=t.strideWidth,a=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=t.padInfo.top,l=t.padInfo.left,f="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,p=this.readSync(e.dataId),h=dF(t.outShape,e.dtype),d=h.values,m=t.outShape[1]*t.outShape[2]*t.outShape[3],g=t.outShape[2]*t.outShape[3],v=t.outShape[3],y=0;y<t.batchSize;++y)for(var b=y*m,x=y*e.strides[0],w=0;w<t.inChannels;++w)for(var E=0;E<t.outHeight;++E)for(var C=E*r-c,S=Math.max(0,C),N=Math.min(t.inHeight,s+C),A=b+E*g,k=0;k<t.outWidth;++k){for(var D=k*i-l,_=Math.max(0,D),M=Math.min(t.inWidth,u+D),T=f,O=0,I=0,F=S;F<N;F+=a){for(var R=x+F*e.strides[1],B=_;B<M;B+=o){var z=p[R+B*e.strides[2]+w];"max"===n&&z>T?T=z:"avg"===n&&(O+=z,I++)}if(isNaN(T))break}d[A+k*v+w]="avg"===n?O/I:T}return h.toTensor()},t.prototype.maxPool=function(e,t){return this.pool(e,t,"max")},t.prototype.maxPoolPositions=function(e,t){for(var n=dF(t.outShape,"int32"),r=t.strideHeight,i=t.strideWidth,a=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=t.padInfo.top,l=t.padInfo.left,f=this.bufferSync(e),p=0;p<t.batchSize;++p)for(var h=0;h<t.inChannels;++h)for(var d=0;d<t.outHeight;++d){for(var m=d*r-c,g=m;g<0;)g+=a;for(var v=Math.min(t.inHeight,s+m),y=0;y<t.outWidth;++y){for(var b=y*i-l,x=b;x<0;)x+=o;for(var w=Math.min(t.inWidth,u+b),E=Number.NEGATIVE_INFINITY,C=-1,S=g;S<v;S+=a)for(var N=S-m,A=x;A<w;A+=o){var k=A-b,D=f.get(p,S,A,h);D>E&&(E=D,C=N*u+k)}n.set(C,p,d,y,h)}}return n.toTensor()},t.prototype.maxPoolBackprop=function(e,t,n,r){Cq([t,n],"maxPoolBackprop");for(var i=this.maxPoolPositions(t,r),a=r.strideHeight,o=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,c=r.effectiveFilterHeight,l=r.effectiveFilterWidth,f=l-1-r.padInfo.left,p=c-1-r.padInfo.top,h=dF(t.shape,"float32"),d=this.bufferSync(i),m=this.bufferSync(e),g=0;g<r.batchSize;++g)for(var v=0;v<r.inChannels;++v)for(var y=0;y<r.inHeight;++y)for(var b=0;b<r.inWidth;++b){for(var x=y-p,w=b-f,E=0,C=0;C<c;C+=s){var S=(x+C)/a;if(!(S<0||S>=r.outHeight||Math.floor(S)!==S))for(var N=0;N<l;N+=u){var A=(w+N)/o;if(!(A<0||A>=r.outWidth||Math.floor(A)!==A)){var k=c*l-1-d.get(g,S,A,v)===C*l+N?1:0;0!==k&&(E+=m.get(g,S,A,v)*k)}}}h.set(E,g,y,b,v)}return h.toTensor()},t.prototype.avgPoolBackprop=function(e,t,n){Cq([e,t],"avgPoolBackprop");for(var r=n.strideHeight,i=n.strideWidth,a=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,f=l-1-n.padInfo.left,p=c-1-n.padInfo.top,h=dF(t.shape,"float32"),d=1/(a*o),m=this.bufferSync(e),g=0;g<n.batchSize;++g)for(var v=0;v<n.inChannels;++v)for(var y=0;y<n.inHeight;++y)for(var b=0;b<n.inWidth;++b){for(var x=y-p,w=b-f,E=0,C=0;C<c;C+=s){var S=(x+C)/r;if(!(S<0||S>=n.outHeight||Math.floor(S)!==S))for(var N=0;N<l;N+=u){var A=(w+N)/i;A<0||A>=n.outWidth||Math.floor(A)!==A||(E+=m.get(g,S,A,v))}}h.set(E*d,g,y,b,v)}return h.toTensor()},t.prototype.pool3d=function(e,t,n){Cq(e,"pool3d");for(var r=t.strideDepth,i=t.strideHeight,a=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,f=t.effectiveFilterWidth,p=t.padInfo.front,h=t.padInfo.top,d=t.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(e.dataId),v=dF(t.outShape,e.dtype),y=v.values,b=t.outShape[1]*t.outShape[2]*t.outShape[3]*t.outShape[4],x=t.outShape[2]*t.outShape[3]*t.outShape[4],w=t.outShape[3]*t.outShape[4],E=t.outShape[4],C=0;C<t.batchSize;++C)for(var S=C*b,N=C*e.strides[0],A=0;A<t.inChannels;++A)for(var k=0;k<t.outDepth;++k){for(var D=k*r-p,_=D;_<0;)_+=o;for(var M=Math.min(t.inDepth,c+D),T=S+k*x,O=0;O<t.outHeight;++O){for(var I=O*i-h,F=I;F<0;)F+=s;for(var R=Math.min(t.inHeight,l+I),B=T+O*w,z=0;z<t.outWidth;++z){for(var P=z*a-d,L=P;L<0;)L+=u;for(var j=Math.min(t.inWidth,f+P),U=B+z*E,q=m,W=0,V=0,$=_;$<M;$+=o){for(var H=N+$*e.strides[1],G=F;G<R;G+=s){for(var K=H+G*e.strides[2],X=L;X<j;X+=u){var Y=g[K+X*e.strides[3]+A];if("max"===n&&Y>q?q=Y:"avg"===n&&(W+=Y,V++),isNaN(q))break}if(isNaN(q))break}if(isNaN(q))break}y[U+A]="avg"===n?W/V:q}}}return v.toTensor()},t.prototype.avgPool3d=function(e,t){return Cq(e,"avgPool3d"),this.pool3d(e,t,"avg").toFloat()},t.prototype.avgPool3dBackprop=function(e,t,n){Cq([e,t],"avgPool3dBackprop");for(var r=n.strideDepth,i=n.strideHeight,a=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,f=n.dilationWidth,p=n.effectiveFilterDepth,h=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=p-1-n.padInfo.front,g=d-1-n.padInfo.left,v=h-1-n.padInfo.top,y=dF(t.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(e),w=0;w<n.batchSize;++w)for(var E=0;E<n.inChannels;++E)for(var C=0;C<n.inDepth;++C)for(var S=0;S<n.inHeight;++S)for(var N=0;N<n.inWidth;++N){for(var A=C-m,k=S-v,D=N-g,_=0,M=0;M<p;M+=c){var T=(A+M)/r;if(!(T<0||T>=n.outDepth||Math.floor(T)!==T))for(var O=0;O<h;O+=l){var I=(k+O)/i;if(!(I<0||I>=n.outHeight||Math.floor(I)!==I))for(var F=0;F<d;F+=f){var R=(D+F)/a;R<0||R>=n.outWidth||Math.floor(R)!==R||(_+=x.get(w,T,I,R,E))}}}y.set(_*b,w,C,S,N,E)}return y.toTensor()},t.prototype.maxPool3d=function(e,t){return Cq(e,"maxPool3d"),this.pool3d(e,t,"max").toFloat()},t.prototype.maxPool3dPositions=function(e,t){for(var n=dF(t.outShape,"int32"),r=t.strideDepth,i=t.strideHeight,a=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,f=t.effectiveFilterWidth,p=t.padInfo.front,h=t.padInfo.top,d=t.padInfo.left,m=this.bufferSync(e),g=0;g<t.batchSize;++g)for(var v=0;v<t.inChannels;++v)for(var y=0;y<t.outDepth;++y){for(var b=y*r-p,x=b;x<0;)x+=o;for(var w=Math.min(t.inDepth,c+b),E=0;E<t.outHeight;++E){for(var C=E*i-h,S=C;S<0;)S+=s;for(var N=Math.min(t.inHeight,l+C),A=0;A<t.outWidth;++A){for(var k=A*a-d,D=k;D<0;)D+=u;for(var _=Math.min(t.inWidth,f+k),M=Number.NEGATIVE_INFINITY,T=-1,O=x;O<w;O+=o)for(var I=O-b,F=S;F<N;F+=s)for(var R=F-C,B=D;B<_;B+=u){var z=B-k,P=m.get(g,O,F,B,v);P>=M&&(M=P,T=I*l*f+R*l+z)}n.set(T,g,y,E,A,v)}}}return n.toTensor()},t.prototype.maxPool3dBackprop=function(e,t,n,r){Cq([t,n],"maxPool3dBackprop");for(var i=this.maxPool3dPositions(t,r),a=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,f=r.effectiveFilterDepth,p=r.effectiveFilterHeight,h=r.effectiveFilterWidth,d=f-1-r.padInfo.front,m=h-1-r.padInfo.left,g=p-1-r.padInfo.top,v=dF(t.shape,"float32"),y=this.bufferSync(i),b=this.bufferSync(e),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var E=0;E<r.inDepth;++E)for(var C=0;C<r.inHeight;++C)for(var S=0;S<r.inWidth;++S){for(var N=E-d,A=C-g,k=S-m,D=0,_=0;_<f;_+=u){var M=(N+_)/a;if(!(M<0||M>=r.outDepth||Math.floor(M)!==M))for(var T=0;T<p;T+=c){var O=(A+T)/o;if(!(O<0||O>=r.outHeight||Math.floor(O)!==O))for(var I=0;I<h;I+=l){var F=(k+I)/s;if(!(F<0||F>=r.outWidth||Math.floor(F)!==F)){var R=f*p*h-1-y.get(x,M,O,F,w)===_*p*h+T*h+I?1:0;0!==R&&(D+=b.get(x,M,O,F,w)*R)}}}}v.set(D,x,E,C,S,w)}return v.toTensor()},t.prototype.cast=function(e,t){return BR(e,t,this)},t.prototype.reshape=function(e,t){return zR(e,t)},t.prototype.avgPool=function(e,t){return Cq(e,"avgPool"),this.pool(e,t,"avg").toFloat()},t.prototype.resizeBilinear=function(e,t,n,r){Cq(e,"resizeBilinear");for(var i=e.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(e.dataId),l=new Float32Array(FM([a,t,n,u])),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=0,d=f[0]/p[0],m=f[1]/p[1],g=0;g<a;g++)for(var v=0;v<t;v++)for(var y=d*v,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),E=g*e.strides[0]+b*e.strides[1],C=g*e.strides[0]+w*e.strides[1],S=0;S<n;S++)for(var N=m*S,A=Math.floor(N),k=N-A,D=Math.min(s-1,Math.ceil(N)),_=E+A*e.strides[2],M=C+A*e.strides[2],T=E+D*e.strides[2],O=C+D*e.strides[2],I=0;I<u;I++){var F=c[_+I],R=c[M+I],B=F+(c[T+I]-F)*k,z=B+(R+(c[O+I]-R)*k-B)*x;l[h++]=z}return II(l,[a,t,n,u])},t.prototype.resizeBilinearBackprop=function(e,t,n){Cq([e,t],"resizeBilinearBackprop");for(var r=t.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=e.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),p=[n&&c>1?a-1:a,n&&l>1?o-1:o],h=[n&&c>1?c-1:c,n&&l>1?l-1:l],d=p[0]/h[0],m=p[1]/h[1],g=this.readSync(e.dataId),v=0,y=0;y<i;y++)for(var b=y*t.strides[0],x=0;x<c;x++)for(var w=x*d,E=Math.floor(w),C=Math.min(Math.ceil(w),a-1),S=b+E*t.strides[1],N=b+C*t.strides[1],A=w-E,k=1-A,D=0;D<l;D++)for(var _=D*m,M=Math.floor(_),T=Math.min(Math.ceil(_),o-1),O=_-M,I=1-O,F=S+M*t.strides[2],R=S+T*t.strides[2],B=N+M*t.strides[2],z=N+T*t.strides[2],P=k*I,L=k*O,j=A*I,U=A*O,q=0;q<s;q++){var W=g[v++];f[F+q]+=W*P,f[R+q]+=W*L,f[B+q]+=W*j,f[z+q]+=W*U}return LI(f,[i,o,a,s],t.dtype)},t.prototype.resizeNearestNeighbor=function(e,t,n,r){Cq(e,"resizeNearestNeighbor");for(var i=e.shape,a=i[0],o=i[1],s=i[2],u=i[3],c=this.readSync(e.dataId),l=new Float32Array(a*t*n*u),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=f[0]/p[0],d=f[1]/p[1],m=0,g=0;g<a;g++)for(var v=g*e.strides[0],y=0;y<t;y++)for(var b=h*y,x=v+Math.min(o-1,r?Math.round(b):Math.floor(b))*e.strides[1],w=0;w<n;w++)for(var E=d*w,C=x+Math.min(s-1,r?Math.round(E):Math.floor(E))*e.strides[2],S=0;S<u;S++){var N=c[C+S];l[m++]=N}return II(l,[a,t,n,u],e.dtype)},t.prototype.resizeNearestNeighborBackprop=function(e,t,n){Cq([e,t],"resizeNearestNeighborBackprop");for(var r=t.shape,i=r[0],a=r[1],o=r[2],s=r[3],u=e.shape,c=u[1],l=u[2],f=new Float32Array(i*a*o*s),p=this.readSync(e.dataId),h=[n&&c>1?a-1:a,n&&l>1?o-1:o],d=[n&&c>1?c-1:c,n&&l>1?l-1:l],m=h[0]/d[0],g=h[1]/d[1],v=1/m,y=1/g,b=2*Math.ceil(v)+2,x=2*Math.ceil(y)+2,w=0;w<i;w++)for(var E=w*t.strides[0],C=0;C<a;C++)for(var S=E+C*t.strides[1],N=Math.floor(C*v),A=Math.floor(N-b/2),k=0;k<o;k++)for(var D=S+k*t.strides[2],_=Math.floor(k*y),M=Math.floor(_-x/2),T=0;T<s;T++){for(var O=0,I=0;I<b;I++){var F=I+A;if(!(F<0||F>=c)){var R=E+F*e.strides[1],B=F*m;if(C===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var z=0;z<x;z++){var P=z+M;if(!(P<0||P>=l)){var L=R+P*e.strides[2],j=P*g;k===Math.min(o-1,n?Math.round(j):Math.floor(j))&&(O+=p[L+T])}}}}f[D+T]=O}return LI(f,t.shape,t.dtype)},t.prototype.batchNormalization=function(e,t,n,r,i,a){Cq([e,t,n,i,a],"batchNorm");for(var o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=this.readSync(n.dataId),c=i?this.readSync(i.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),f=new Float32Array(o.length),p=l.length,h=c.length,d=u.length,m=s.length,g=0,v=0,y=0,b=0,x=0;x<o.length;++x)f[x]=l[g++]+(o[x]-s[v++])*c[y++]/Math.sqrt(u[b++]+r),g>=p&&(g=0),v>=m&&(v=0),y>=h&&(y=0),b>=d&&(b=0);return LI(f,e.shape)},t.prototype.localResponseNormalization4D=function(e,t,n,r,i){Cq(e,"localResponseNormalization4D");var a=e.shape[3],o=a-1,s=this.readSync(e.dataId),u=e.size,c=new Float32Array(u);function l(e){for(var n=e%a,r=e-n+Math.max(0,n-t),i=e-n+Math.min(n+t,o),u=0;r<=i;r++){var c=s[r];u+=c*c}return u}for(var f=0;f<u;f++){var p=l(f),h=s[f]*Math.pow(n+r*p,-i);c[f]=h}return LI(c,e.shape)},t.prototype.LRNGrad=function(e,t,n,r,i,a,o){Cq(e,"LRNGrad");for(var s=e.shape[3],u=this.readSync(e.dataId),c=this.readSync(t.dataId),l=this.readSync(n.dataId),f=new Float32Array(e.size),p=e.size,h=0;h<p;h++){for(var d=h%s,m=h-d+Math.max(0,d-r),g=h-d+Math.min(s,d+r+1),v=0,y=m;y<g;y++)v+=Math.pow(c[y],2);for(v=a*v+i,y=m;y<g;y++){var b=-2*a*o*c[y]*l[h]/v;h===y&&(b+=Math.pow(v,-o)),b*=u[h],f[y]+=b}}return LI(f,e.shape)},t.prototype.multinomial=function(e,t,n,r){Cq(e,"multinomial");for(var i=t?e:gR(e),a=i.shape[0],o=i.shape[1],s=VI([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(i.dataId),l=0;l<a;++l){var f=l*o,p=new Float32Array(o-1);p[0]=c[f];for(var h=1;h<p.length;++h)p[h]=p[h-1]+c[f+h];for(var d=lF(r.toString()),m=l*n,g=0;g<n;++g){var v=d();u[m+g]=p.length;for(var y=0;y<p.length;y++)if(v<p[y]){u[m+g]=y;break}}}return s},t.prototype.oneHot=function(e,t,n,r){Cq(e,"oneHot");var i=new Float32Array(e.size*t);i.fill(r);for(var a=this.readSync(e.dataId),o=0;o<e.size;++o)a[o]>=0&&a[o]<t&&(i[o*t+a[o]]=n);return zI(i,[e.size,t],"int32")},t.prototype.nonMaxSuppression=function(e,t,n,r,i){return Cq(e,"nonMaxSuppression"),HR(this.readSync(e.dataId),this.readSync(t.dataId),n,r,i)},t.prototype.fft=function(e){return this.fftBatch(e,!1)},t.prototype.ifft=function(e){return this.fftBatch(e,!0)},t.prototype.fftBatch=function(e,t){for(var n=e.shape[0],r=e.shape[1],i=dF(e.shape,"float32"),a=dF(e.shape,"float32"),o=TI(e).as2D(n,r),s=OI(e).as2D(n,r),u=0;u<n;u++)for(var c=o.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),f=MI(c,l),p=this.readSync(this.fftImpl(f,t).dataId),h=0;h<r;h++){var d=UR(p,h);i.values[u*r+h]=d.real,a.values[u*r+h]=d.imag}return MI(i.toTensor(),a.toTensor()).as2D(n,r)},t.prototype.fftImpl=function(e,t){var n=e.as1D(),r=n.size;if(this.isExponentOf2(r)){var i=this.fftRadix2(n,r,t).as2D(e.shape[0],e.shape[1]);return t&&(i=MI(TI(i).div(RI(r)),OI(i).div(RI(r)))),i}var a=this.readSync(e.dataId),o=function(e){for(var t=new Float32Array(e.length/2),n=new Float32Array(e.length/2),r=0;r<e.length;r+=2)t[r/2]=e[r],n[r/2]=e[r+1];return{real:t,imag:n}}(this.fourierTransformByMatmul(a,r,t));return MI(o.real,o.imag).as2D(e.shape[0],e.shape[1])},t.prototype.isExponentOf2=function(e){return 0==(e&e-1)},t.prototype.fftRadix2=function(e,t,n){if(1===t)return e;var r=this.readSync(e.dataId),i=t/2,a=function(e){for(var t=Math.ceil(e.length/4),n=new Float32Array(t),r=new Float32Array(t),i=0;i<e.length;i+=4)n[Math.floor(i/4)]=e[i],r[Math.floor(i/4)]=e[i+1];return{real:n,imag:r}}(r),o=MI(a.real,a.imag).as1D(),s=function(e){for(var t=Math.floor(e.length/4),n=new Float32Array(t),r=new Float32Array(t),i=2;i<e.length;i+=4)n[Math.floor(i/4)]=e[i],r[Math.floor(i/4)]=e[i+1];return{real:n,imag:r}}(r),u=MI(s.real,s.imag).as1D();o=this.fftRadix2(o,i,n),u=this.fftRadix2(u,i,n);var c=function(e,t){for(var n=new Float32Array(e/2),r=new Float32Array(e/2),i=0;i<Math.ceil(e/2);i++){var a=(t?2:-2)*Math.PI*(i/e);n[i]=Math.cos(a),r[i]=Math.sin(a)}return{real:n,imag:r}}(t,n),l=MI(c.real,c.imag).mul(u),f=o.add(l),p=o.sub(l),h=TI(f).concat(TI(p)),d=OI(f).concat(OI(p));return MI(h,d).as1D()},t.prototype.fourierTransformByMatmul=function(e,t,n){for(var r=new Float32Array(2*t),i=0;i<t;i++){for(var a=0,o=0,s=0;s<t;s++){var u=WR(i*s,t,n),c=UR(e,s);a+=c.real*u.real-c.imag*u.imag,o+=c.real*u.imag+c.imag*u.real}n&&(a/=t,o/=t),qR(r,a,o,i)}return r},t.prototype.depthToSpace=function(e,t,n){MM("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),MM(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t}));for(var r=e.shape[0],i=e.shape[1],a=e.shape[2],o=e.shape[3],s=i*t,u=a*t,c=o/(t*t),l=this.readSync(e.dataId),f=new Float32Array(r*s*u*c),p=0,h=0;h<r;++h)for(var d=0;d<s;++d)for(var m=Math.floor(d/t),g=d%t,v=0;v<u;++v)for(var y=Math.floor(v/t),b=(g*t+v%t)*c,x=0;x<c;++x){var w=x+b+o*(y+a*(m+i*h));f[p++]=l[w]}return LI(f,[r,s,u,c])},t.prototype.broadcastedBinaryOp=function(e,t,n,r){var i=CR(e.shape,t.shape),a=dF(i,n),o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=wR(e.shape,i),c=wR(t.shape,i),l=a.values;if(u.length+c.length===0)for(var f=0;f<l.length;++f)l[f]=r(o[f%o.length],s[f%s.length]);else{var p=this.bufferSync(e),h=this.bufferSync(t),d=function(n){var i=a.indexToLoc(n),f=i.slice(-e.rank);u.forEach((function(e){return f[e]=0}));var d=p.locToIndex(f),m=i.slice(-t.rank);c.forEach((function(e){return m[e]=0}));var g=h.locToIndex(m);l[n]=r(o[d],s[g])};for(f=0;f<l.length;++f)d(f)}return a.toTensor()},t.prototype.broadcastedBinaryComplexOp=function(e,t,n){var r=CR(e.shape,t.shape),i=dF(r,"float32"),a=dF(r,"float32"),o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=wR(e.shape,r),c=wR(t.shape,r),l=i.values,f=a.values;if(u.length+c.length===0)for(var p=0;p<l.length;p++){var h=p%o.length,d=p%s.length,m=n(o[2*h],o[2*h+1],s[2*d],s[2*d+1]);l[p]=m.real,f[p]=m.imag}else{var g=this.bufferSync(this.data.get(e.dataId).complexTensors.real),v=this.bufferSync(this.data.get(t.dataId).complexTensors.real),y=function(r){var a=i.indexToLoc(r),p=a.slice(-e.rank);u.forEach((function(e){return p[e]=0}));var h=g.locToIndex(p),d=a.slice(-t.rank);c.forEach((function(e){return d[e]=0}));var m=v.locToIndex(d),y=n(o[2*h],o[2*h+1],s[2*m],s[2*m+1]);l[r]=y.real,f[r]=y.imag};for(p=0;p<l.length;p++)y(p)}return this.complex(i.toTensor(),a.toTensor())},t.prototype.split=function(e,t,n){return ZR(e,t,n)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.epsilon=function(){return 1e-7},t.prototype.cropAndResize=function(e,t,n,r,i,a){for(var o=e.shape,s=o[0],u=o[1],c=o[2],l=o[3],f=t.shape[0],p=r[0],h=r[1],d=dF([f,p,h,l],"float32"),m=this.readSync(t.dataId),g=this.readSync(n.dataId),v=this.readSync(e.dataId),y=e.strides,b=d.strides,x=0;x<f;x++){var w=4*x,E=m[w],C=m[w+1],S=m[w+2],N=m[w+3],A=g[x];if(!(A>=s))for(var k=p>1?(S-E)*(u-1)/(p-1):0,D=h>1?(N-C)*(c-1)/(h-1):0,_=0;_<p;_++){var M=p>1?E*(u-1)+_*k:.5*(E+S)*(u-1);if(M<0||M>u-1)for(var T=0;T<h;T++)for(var O=0;O<l;O++){var I=O+T*b[2]+_*b[1]+x*b[0];d.values[I]=a}else if("bilinear"===i){var F=Math.floor(M),R=Math.ceil(M),B=M-F;for(T=0;T<h;T++)if(($=h>1?C*(c-1)+T*D:.5*(C+N)*(c-1))<0||$>c-1)for(O=0;O<l;O++)I=O+T*b[2]+_*b[1]+x*b[0],d.values[I]=a;else{var z=Math.floor($),P=Math.ceil($),L=$-z;for(O=0;O<l;O++){var j=v[I=O+z*y[2]+F*y[1]+A*y[0]],U=v[I=O+P*y[2]+F*y[1]+A*y[0]],q=v[I=O+z*y[2]+R*y[1]+A*y[0]],W=j+(U-j)*L,V=q+(v[I=O+P*y[2]+R*y[1]+A*y[0]]-q)*L;I=O+T*b[2]+_*b[1]+x*b[0],d.values[I]=W+(V-W)*B}}}else for(T=0;T<h;++T){var $;if(($=h>1?C*(c-1)+T*D:.5*(C+N)*(c-1))<0||$>c-1)for(O=0;O<l;O++)I=O+T*b[2]+_*b[1]+x*b[0],d.values[I]=a;else{var H=Math.round($),G=Math.round(M);for(O=0;O<l;O++){var K=O+H*y[2]+G*y[1]+A*y[0],X=O+T*b[2]+_*b[1]+x*b[0];d.values[X]=v[K]}}}}}return d.toTensor()},t.prototype.sparseToDense=function(e,t,n,r){var i=QF(0,e,n),a=i.sliceRank,o=i.numUpdates,s=i.sliceSize,u=i.strides,c=i.outputSize;return this.scatter(e,t,n,c,s,o,a,u,r,!1)},t.prototype.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],i=KF(e,t),a=i[0],o=i[1],s=i[2],u=i[3];if(0===o)return II([],a,e.dtype);for(var c=new wT([o,s],e.dtype),l=this.readSync(t.dataId),f=this.readSync(e.dataId),p=0;p<o;p++){for(var h=[],d=0,m=0;m<r;m++){var g=l[p*r+m];d+=g*u[m],h.push(g)}if(d<0||d>=e.size/s)throw new Error("Invalid indices: "+h+" does not index into "+e.shape);for(var v=0;v<s;v++)c.values[p*s+v]=f[d*s+v]}return c.toTensor().reshape(a)},t.prototype.scatterND=function(e,t,n){var r=QF(0,e,n),i=r.sliceRank,a=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,c=RI(0);return this.scatter(e,t,n,u,o,a,i,s,c,!0)},t.prototype.fill=function(e,t,n){var r=$M(n=n||tT(t),FM(e));return r.fill(t),qT.makeTensor(r,e,n,this)},t.prototype.onesLike=function(e){if("string"===e.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){var t=$M(e.dtype,FM(e.shape));return this.makeOutput(t,e.shape,e.dtype)},t.prototype.linspace=function(e,t,n){return PR(e,t,n)},t.prototype.scatter=function(e,t,n,r,i,a,o,s,u,c){var l=[r/i,i],f=this.readSync(e.dataId),p=this.readSync(t.dataId);if(0===r)return II([],n,t.dtype);var h=new wT(l,t.dtype);h.values.fill(this.readSync(u.dataId)[0]);for(var d=0;d<a;d++){for(var m=[],g=0,v=0;v<o;v++){var y=f[d*o+v];m.push(y),g+=y*s[v]}if(g<0||g>=r/i)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<i;b++)c?h.values[g*i+b]+=p[d*i+b]:h.values[g*i+b]=0===t.rank?p[0]:p[d*i+b]}return h.toTensor().reshape(n)},t}(bR);qT.registerBackend("cpu",(function(){return new Nq}),1);for(var Aq=0,kq=[{kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t,a=i.boxes,o=i.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,f=s.softNmsSigma,p=n;Cq(a,"NonMaxSuppressionWithScore");var h=GR(p.data.get(a.dataId).values,p.data.get(o.dataId).values,u,c,l,f);return[h.selectedIndices,h.selectedScores]}},{kernelName:"Square",backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,i=n;Cq(r,"square");for(var a=i.data.get(r.dataId).values,o=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];o[s]=u*u}return{dataId:i.write(o,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},{kernelName:BP,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,i=r.a,a=r.b,o=n;Cq([i,a],BP);var s=o.data.get(i.dataId).values,u=o.data.get(a.dataId).values,c=function(e,t,n,r,i,a){var o=CR(e,t),s=o.length,u=iT(o),c=VM(i,FM(o)),l=e.length,f=t.length,p=iT(e),h=iT(t),d=wR(e,o),m=wR(t,o);if(d.length+m.length===0)for(var g=0;g<c.length;++g)c[g]=a(n[g%n.length],r[g%r.length]);else{var v=function(e){var t=dT(e,s,u),i=t.slice(-l);d.forEach((function(e){return i[e]=0}));var o=hT(i,l,p),g=t.slice(-f);m.forEach((function(e){return g[e]=0}));var v=hT(g,f,h);c[e]=a(n[o],r[v])};for(g=0;g<c.length;++g)v(g)}return[c,o]}(i.shape,a.shape,s,u,i.dtype,(function(e,t){var n=e-t;return n*n})),l=c[0],f=c[1];return{dataId:o.write(l,f,i.dtype),shape:f,dtype:i.dtype}}}];Aq<kq.length;Aq++)wM(kq[Aq]);for(var Dq,_q=function(e){this.variableNames=["A"];var t=sB(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+t.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},Mq=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=sB(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+t.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+t.output+" = result;\n      }\n    "},Tq=0,Oq=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.pixels,a=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&i instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&i instanceof HTMLImageElement,u=o?[i.videoWidth,i.videoHeight]:[i.width,i.height],c=u[0],l=u[1],f=[l,c],p=[l,c,a];(s||o)&&(null==Dq&&(Dq=document.createElement("canvas").getContext("2d")),Dq.canvas.width=c,Dq.canvas.height=l,Dq.drawImage(i,0,0,c,l),i=Dq.canvas);var h=n.makeTensorInfo(f,"int32");n.texData.get(h.dataId).usage=HT.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(h.dataId),i);var d=dM().getBool("WEBGL_PACK")?new Mq(p):new _q(p),m=n.runWebGLProgram(d,[h],"int32");return n.disposeData(h.dataId),m}},{kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;dI("tf.nonMaxSuppression() in webgl locks the UI thread. 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l=p.sent(),n&&c?[4,Kq.getManager(s).removeModel(u)]:[3,3];case 2:p.sent(),p.label=3;case 3:return[4,o.save(l)];case 4:return f=p.sent(),!n||c?[3,6]:[4,Kq.getManager(s).removeModel(u)];case 5:p.sent(),p.label=6;case 6:return[2,f.modelArtifactsInfo]}}))}))}var Jq="models_store",Zq="model_info_store";function Qq(){if(!dM().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");var e=window||self,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error("The current browser does not appear to support IndexedDB.");return t}function eW(e){var t=e.result;t.createObjectStore(Jq,{keyPath:"modelPath"}),t.createObjectStore(Zq,{keyPath:"modelPath"})}var tW=function(){function e(e){if(this.indexedDB=Qq(),null==e||!e)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=e}return e.prototype.save=function(e){return lM(this,void 0,void 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u,c=$q(t),l=a.transaction(Zq,"readwrite"),f=l.objectStore(Zq),p=f.put({modelPath:n.modelPath,modelArtifactsInfo:c});p.onsuccess=function(){var i=(u=a.transaction(Jq,"readwrite")).objectStore(Jq).put({modelPath:n.modelPath,modelArtifacts:t,modelArtifactsInfo:c});i.onsuccess=function(){return e({modelArtifactsInfo:c})},i.onerror=function(e){var t=(f=l.objectStore(Zq)).delete(n.modelPath);t.onsuccess=function(){return a.close(),r(i.error)},t.onerror=function(e){return a.close(),r(i.error)}}},p.onerror=function(e){return a.close(),r(p.error)},l.oncomplete=function(){null==u?a.close():u.oncomplete=function(){return a.close()}}}},i.onerror=function(e){return r(i.error)}}))},e.URL_SCHEME="indexeddb://",e}(),nW=function(e){return dM().getBool("IS_BROWSER")&&!Array.isArray(e)&&e.startsWith(tW.URL_SCHEME)?(t=e.slice(tW.URL_SCHEME.length),new tW(t)):null;var t};Hq.registerSaveRouter(nW),Hq.registerLoadRouter(nW);var rW=function(){function e(){this.indexedDB=Qq()}return e.prototype.listModels=function(){return lM(this,void 0,void 0,(function(){var e=this;return fM(this,(function(t){return[2,new Promise((function(t,n){var r=e.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return eW(r)},r.onsuccess=function(){var e=r.result,i=e.transaction(Zq,"readonly"),a=i.objectStore(Zq).getAll();a.onsuccess=function(){for(var e={},n=0,r=a.result;n<r.length;n++){var i=r[n];e[i.modelPath]=i.modelArtifactsInfo}t(e)},a.onerror=function(t){return e.close(),n(a.error)},i.oncomplete=function(){return e.close()}},r.onerror=function(e){return n(r.error)}}))]}))}))},e.prototype.removeModel=function(e){return lM(this,void 0,void 0,(function(){var t=this;return fM(this,(function(n){var r;return e=(r=e).startsWith(tW.URL_SCHEME)?r.slice(tW.URL_SCHEME.length):r,[2,new Promise((function(n,r){var i=t.indexedDB.open("tensorflowjs",1);i.onupgradeneeded=function(){return eW(i)},i.onsuccess=function(){var t,a=i.result,o=a.transaction(Zq,"readwrite"),s=o.objectStore(Zq),u=s.get(e);u.onsuccess=function(){if(null==u.result)return a.close(),r(new Error("Cannot find model with path '"+e+"' in IndexedDB."));var i=s.delete(e),o=function(){var i=(t=a.transaction(Jq,"readwrite")).objectStore(Jq).delete(e);i.onsuccess=function(){return n(u.result.modelArtifactsInfo)},i.onerror=function(e){return r(u.error)}};i.onsuccess=o,i.onerror=function(e){return o(),a.close(),r(u.error)}},u.onerror=function(e){return a.close(),r(u.error)},o.oncomplete=function(){null==t?a.close():t.oncomplete=function(){return a.close()}}},i.onerror=function(e){return r(i.error)}}))]}))}))},e}();if(dM().getBool("IS_BROWSER"))try{Kq.registerManager(tW.URL_SCHEME,new rW)}catch(uM){}var iW="/",aW="tensorflowjs_models",oW="info",sW="model_topology",uW="weight_specs",cW="weight_data",lW="model_metadata";function 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n=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,n]}))}))},e}();if(dM().getBool("IS_BROWSER"))try{Kq.registerManager(hW.URL_SCHEME,new mW)}catch(uM){}function gW(e){return new Promise((function(e){return setTimeout(e)})).then(e)}var vW=function(){function e(t){if(!dM().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t="model"),this.modelTopologyFileName=t+".json",this.weightDataFileName=t+".weights.bin"}return e.prototype.save=function(e){return lM(this,void 0,void 0,(function(){var t,n,r,i,a,o;return fM(this,(function(s){switch(s.label){case 0:if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not 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nI(a),t?i:(i.dispose(),null)},Object.defineProperty(t.prototype,"iterations",{get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_},enumerable:!0,configurable:!0}),t.prototype.incrementIterations=function(){this.iterations_=this.iterations+1},t.prototype.computeGradients=function(e,t){return hR(e,t)},t.prototype.dispose=function(){null!=this.iterations_&&nI(this.iterations_)},t.prototype.saveIterations=function(){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){return null==this.iterations_&&(this.iterations_=0),[2,{name:"iter",tensor:RI(this.iterations_,"int32")}]}))}))},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){throw new Error("getWeights() is not implemented for this optimizer yet.")}))}))},t.prototype.setWeights=function(e){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){throw new Error("setWeights() is not implemented for this optimizer class 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XI(i).variable(!1)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:tI((function(){return XI(i).variable(!1)}))});var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var o=t.accumulatedGrads[r].variable,s=t.accumulatedUpdates[r].variable;tI((function(){var e=o.mul(t.rho).add(a.square().mul(1-t.rho)),n=s.add(t.epsilon).sqrt().div(o.add(t.epsilon).sqrt()).mul(a),r=s.mul(t.rho).add(n.square().mul(1-t.rho));o.assign(e),s.assign(r);var u=n.mul(-t.learningRate).add(i);i.assign(u)}))}})),this.incrementIterations()},t.prototype.dispose=function(){null!=this.accumulatedUpdates&&(nI(this.accumulatedGrads.map((function(e){return e.variable}))),nI(this.accumulatedUpdates.map((function(e){return e.variable}))))},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){var e;return fM(this,(function(t){switch(t.label){case 0:return e=this.accumulatedGrads.concat(this.accumulatedUpdates),[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(e.map((function(e){return{name:e.originalName,tensor:e.variable}})))]}}))}))},t.prototype.setWeights=function(e){return lM(this,void 0,void 0,(function(){var t;return fM(this,(function(n){switch(n.label){case 0:return[4,this.extractIterations(e)];case 1:return e=n.sent(),t=e.length/2,this.accumulatedGrads=e.slice(0,t).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),this.accumulatedUpdates=e.slice(t,2*t).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),[2]}}))}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t.className="Adadelta",t}(VW);BW($W);var HW=function(e){function t(t,n){void 0===n&&(n=.1);var r=e.call(this)||this;return r.learningRate=t,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}return cM(t,e),t.prototype.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var i=qT.registeredVariables[n];null==t.accumulatedGrads[r]&&(t.accumulatedGrads[r]={originalName:n+"/accumulator",variable:tI((function(){return $I(i.shape,t.initialAccumulatorValue).variable(!1)}))});var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var o=t.accumulatedGrads[r].variable;tI((function(){var e=o.add(a.square());o.assign(e);var n=a.div(e.add(qT.backend.epsilon()).sqrt()).mul(-t.learningRate).add(i);i.assign(n)}))}})),this.incrementIterations()},t.prototype.dispose=function(){null!=this.accumulatedGrads&&nI(this.accumulatedGrads.map((function(e){return e.variable})))},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(this.accumulatedGrads.map((function(e){return{name:e.originalName,tensor:e.variable}})))]}}))}))},t.prototype.setWeights=function(e){return lM(this,void 0,void 0,(function(){return fM(this,(function(t){switch(t.label){case 0:return[4,this.extractIterations(e)];case 1:return e=t.sent(),this.accumulatedGrads=e.map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),[2]}}))}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t.className="Adagrad",t}(VW);BW(HW);var GW=function(e){function t(t,n,r,i){void 0===i&&(i=null);var a=e.call(this)||this;return a.learningRate=t,a.beta1=n,a.beta2=r,a.epsilon=i,a.accumulatedFirstMoment=[],a.accumulatedSecondMoment=[],tI((function(){a.accBeta1=RI(n).variable(),a.accBeta2=RI(r).variable()})),null==i&&(a.epsilon=qT.backend.epsilon()),a}return cM(t,e),t.prototype.applyGradients=function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);tI((function(){var r=rj(1,t.accBeta1),i=rj(1,t.accBeta2);n.forEach((function(n,a){var o=qT.registeredVariables[n];null==t.accumulatedFirstMoment[a]&&(t.accumulatedFirstMoment[a]={originalName:n+"/m",variable:tI((function(){return XI(o).variable(!1)}))}),null==t.accumulatedSecondMoment[a]&&(t.accumulatedSecondMoment[a]={originalName:n+"/v",variable:tI((function(){return XI(o).variable(!1)}))});var s=Array.isArray(e)?e[a].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[a].variable,c=t.accumulatedSecondMoment[a].variable,l=u.mul(t.beta1).add(s.mul(1-t.beta1)),f=c.mul(t.beta2).add(s.square().mul(1-t.beta2)),p=l.div(r),h=f.div(i);u.assign(l),c.assign(f);var d=p.div(h.sqrt().add(t.epsilon)).mul(-t.learningRate).add(o);o.assign(d)}})),t.accBeta1.assign(t.accBeta1.mul(t.beta1)),t.accBeta2.assign(t.accBeta2.mul(t.beta2))})),this.incrementIterations()},t.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&nI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&nI(this.accumulatedSecondMoment.map((function(e){return e.variable})))},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){var e;return fM(this,(function(t){switch(t.label){case 0:return e=this.accumulatedFirstMoment.concat(this.accumulatedSecondMoment),[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(e.map((function(e){return{name:e.originalName,tensor:e.variable}})))]}}))}))},t.prototype.setWeights=function(e){return lM(this,void 0,void 0,(function(){var t,n=this;return fM(this,(function(r){switch(r.label){case 0:return[4,this.extractIterations(e)];case 1:return e=r.sent(),tI((function(){n.accBeta1.assign(ej(n.beta1,n.iterations_+1)),n.accBeta2.assign(ej(n.beta2,n.iterations_+1))})),t=e.length/2,this.accumulatedFirstMoment=e.slice(0,t).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),this.accumulatedSecondMoment=e.slice(t,2*t).map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),[2]}}))}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t.className="Adam",t}(VW);BW(GW);var KW=function(e){function t(t,n,r,i,a){void 0===i&&(i=null),void 0===a&&(a=0);var o=e.call(this)||this;return o.learningRate=t,o.beta1=n,o.beta2=r,o.epsilon=i,o.decay=a,o.accumulatedFirstMoment=[],o.accumulatedWeightedInfNorm=[],tI((function(){o.iteration=RI(0).variable(),o.accBeta1=RI(n).variable()})),null==i&&(o.epsilon=qT.backend.epsilon()),o}return cM(t,e),t.prototype.applyGradients=function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);tI((function(){var r=rj(1,t.accBeta1),i=qL(-t.learningRate,t.iteration.mul(t.decay).add(1));n.forEach((function(n,a){var o=qT.registeredVariables[n];null==t.accumulatedFirstMoment[a]&&(t.accumulatedFirstMoment[a]={originalName:n+"/m",variable:XI(o).variable(!1)}),null==t.accumulatedWeightedInfNorm[a]&&(t.accumulatedWeightedInfNorm[a]={originalName:n+"/v",variable:XI(o).variable(!1)});var s=Array.isArray(e)?e[a].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[a].variable,c=t.accumulatedWeightedInfNorm[a].variable,l=u.mul(t.beta1).add(s.mul(1-t.beta1)),f=c.mul(t.beta2),p=s.abs(),h=f.maximum(p);u.assign(l),c.assign(h);var d=i.div(r).mul(l.div(h.add(t.epsilon))).add(o);o.assign(d)}})),t.iteration.assign(t.iteration.add(1)),t.accBeta1.assign(t.accBeta1.mul(t.beta1))})),this.incrementIterations()},t.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&nI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&nI(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){throw new Error("getWeights() is not implemented for Adamax yet.")}))}))},t.prototype.setWeights=function(e){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){throw new Error("setWeights() is not implemented for Adamax yet.")}))}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t.className="Adamax",t}(VW);BW(KW);var XW=function(e){function t(t){var n=e.call(this)||this;return n.learningRate=t,n.setLearningRate(t),n}return cM(t,e),t.prototype.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var a=qT.registeredVariables[n];tI((function(){var e=t.c.mul(i).add(a);a.assign(e)}))}})),this.incrementIterations()},t.prototype.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=rI(RI(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()]]}}))}))},t.prototype.setWeights=function(e){return lM(this,void 0,void 0,(function(){return fM(this,(function(t){switch(t.label){case 0:return[4,this.extractIterations(e)];case 1:if(0!==(e=t.sent()).length)throw new Error("SGD optimizer does not have settable weights.");return[2]}}))}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t.className="SGD",t}(VW);BW(XW);var YW=function(e){function t(t,n,r){void 0===r&&(r=!1);var i=e.call(this,t)||this;return i.learningRate=t,i.momentum=n,i.useNesterov=r,i.accumulations=[],i.m=RI(i.momentum),i}return cM(t,e),t.prototype.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var i=qT.registeredVariables[n];null==t.accumulations[r]&&(t.accumulations[r]={originalName:n+"/momentum",variable:tI((function(){return XI(i).variable(!1)}))});var a=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&tI((function(){var e,n=t.m.mul(a).add(o);e=t.useNesterov?t.c.mul(o.add(n.mul(t.m))).add(i):t.c.mul(n).add(i),a.assign(n),i.assign(e)}))})),this.incrementIterations()},t.prototype.dispose=function(){this.m.dispose(),null!=this.accumulations&&nI(this.accumulations.map((function(e){return e.variable})))},t.prototype.setMomentum=function(e){this.momentum=e},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){return fM(this,(function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(this.accumulations.map((function(e){return{name:e.originalName,tensor:e.variable}})))]}}))}))},t.prototype.setWeights=function(e){return lM(this,void 0,void 0,(function(){return fM(this,(function(t){switch(t.label){case 0:return[4,this.extractIterations(e)];case 1:return e=t.sent(),this.accumulations=e.map((function(e){return{originalName:e.name,variable:e.tensor.variable(!1)}})),[2]}}))}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)},t.className="Momentum",t}(XW);BW(YW);var JW=function(e){function t(t,n,r,i,a){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===i&&(i=null),void 0===a&&(a=!1);var o=e.call(this)||this;if(o.learningRate=t,o.decay=n,o.momentum=r,o.epsilon=i,o.accumulatedMeanSquares=[],o.accumulatedMoments=[],o.accumulatedMeanGrads=[],o.centered=a,null==i&&(o.epsilon=qT.backend.epsilon()),null==t)throw new Error("learningRate for RMSPropOptimizer must be defined.");return o}return cM(t,e),t.prototype.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var i=qT.registeredVariables[n];null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:tI((function(){return XI(i).variable(!1)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:n+"/momentum",variable:tI((function(){return XI(i).variable(!1)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:tI((function(){return XI(i).variable(!1)}))});var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var o=t.accumulatedMeanSquares[r].variable,s=t.accumulatedMoments[r].variable;tI((function(){var e=o.mul(t.decay).add(a.square().mul(1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,u=n.mul(t.decay).add(a.mul(1-t.decay)),c=s.mul(t.momentum).add(a.mul(t.learningRate).div(e.sub(u.square().add(t.epsilon)).sqrt()));o.assign(e),n.assign(u),s.assign(c);var l=i.sub(c);i.assign(l)}else{var f=o.mul(t.decay).add(a.square().mul(1-t.decay));c=s.mul(t.momentum).add(a.mul(t.learningRate).div(f.add(t.epsilon).sqrt())),o.assign(f),s.assign(c),l=i.sub(c),i.assign(l)}}))}})),this.incrementIterations()},t.prototype.dispose=function(){null!=this.accumulatedMeanSquares&&nI(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&nI(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&nI(this.accumulatedMoments.map((function(e){return e.variable})))},t.prototype.getWeights=function(){return lM(this,void 0,void 0,(function(){var e;return fM(this,(function(t){switch(t.label){case 0:return e=this.accumulatedMeanSquares.concat(this.accumulatedMoments),this.centered&&e.push.apply(e,this.accumulatedMeanGrads),[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(e.map((function(e){return{name:e.originalName,tensor:e.variable}})))]}}))}))},t.prototype.setWeights=function(e){return 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void 0===n&&(n=!1),void 0===r&&(r=!0),tI((function(){var i=vU(n?PL(Aj(e,t.conv0.filters,r?[2,2]:[1,1],"same"),t.conv0.bias):T$(e,t.conv0,r?[2,2]:[1,1])),a=T$(i,t.conv1,[1,1]),o=T$(vU(PL(i,a)),t.conv2,[1,1]),s=T$(vU(PL(i,PL(a,o))),t.conv3,[1,1]);return vU(PL(i,PL(a,PL(o,s))))}))}function F$(e,t,n,r){return void 0===n&&(n="same"),void 0===r&&(r=!1),tI((function(){var i=PL(Aj(e,t.filters,[1,1],n),t.bias);return r?vU(i):i}))}function R$(e,t){Object.keys(e).forEach((function(n){t.some((function(e){return e.originalPath===n}))||e[n].dispose()}))}function B$(e,t){return function(n,r,i,a){var o=LI(e(n*r*i*i),[i,i,n,r]),s=BI(e(r));return t.push({paramPath:a+"/filters"},{paramPath:a+"/bias"}),{filters:o,bias:s}}}function z$(e,t){return function(n,r,i){var a=zI(e(n*r),[n,r]),o=BI(e(r));return t.push({paramPath:i+"/weights"},{paramPath:i+"/bias"}),{weights:a,bias:o}}}var P$=function(e,t,n){this.depthwise_filter=e,this.pointwise_filter=t,this.bias=n};function L$(e,t){return function(n,r,i){var 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this.faceFeatureExtractor.extractWeights(i),this.extractClassifierParams(a)},t}(M$),Y$=["neutral","happy","sad","angry","fearful","disgusted","surprised"],J$=function(){function e(e){var t=this;if(7!==e.length)throw new Error("FaceExpressions.constructor - expected probabilities.length to be 7, have: "+e.length);Y$.forEach((function(n,r){t[n]=e[r]}))}return e.prototype.asSortedArray=function(){var e=this;return Y$.map((function(t){return{expression:t,probability:e[t]}})).sort((function(e,t){return t.probability-e.probability}))},e}(),Z$=function(e){function t(t){return void 0===t&&(t=new H$),e.call(this,"FaceExpressionNet",t)||this}return iV(t,e),t.prototype.forwardInput=function(e){var t=this;return tI((function(){return gR(t.runNet(e))}))},t.prototype.forward=function(e){return oV(this,void 0,void 0,(function(){var t;return sV(this,(function(n){switch(n.label){case 0:return t=this.forwardInput,[4,x$(e)];case 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sV(this,(function(E){switch(E.label){case 0:return n=new FH(t),r=n.maxResults,i=n.minConfidence,[4,x$(e)];case 1:for(a=E.sent(),o=this.forwardInput(a),s=o.boxes,u=o.scores,c=s[0],l=u[0],f=1;f<s.length;f++)s[f].dispose(),u[f].dispose();return d=(h=Array).from,[4,l.data()];case 2:return p=d.apply(h,[E.sent()]),m=function(e,t,n,r,i){var a=e.shape[0],o=Math.min(n,a),s=t.map((function(e,t){return{score:e,boxIndex:t}})).filter((function(e){return e.score>i})).sort((function(e,t){return t.score-e.score})),u=function(e){return e<=.5?1:0},c=[];return s.forEach((function(t){if(!(c.length>=o)){for(var n=t.score,r=c.length-1;r>=0;--r){var a=OH(e,t.boxIndex,c[r]);if(0!==a&&(t.score*=u(a),t.score<=i))break}n===t.score&&c.push(t.boxIndex)}})),c}(c,p,r,0,i),g=a.getReshapedInputDimensions(0),v=a.inputSize,y=v/g.width,b=v/g.height,x=c.arraySync(),w=m.map((function(e){var t=[Math.max(0,x[e][0]),Math.min(1,x[e][2])].map((function(e){return e*b})),n=t[0],r=t[1],i=[Math.max(0,x[e][1]),Math.min(1,x[e][3])].map((function(e){return e*y})),o=i[0],s=i[1];return new DV(p[e],new PV(o,n,s-o,r-n),{height:a.getInputHeight(0),width:a.getInputWidth(0)})})),c.dispose(),l.dispose(),[2,w]}}))}))},t.prototype.getDefaultModelName=function(){return"ssd_mobilenetv1_model"},t.prototype.extractParamsFromWeigthMap=function(e){return function(e){var t=[],n=function(e,t){var n=U$(e,t);function r(e,t,r){return{filters:n(e+"/Conv2d_"+t+"_pointwise/weights",4,r+"/filters"),batch_norm_offset:n(e+"/Conv2d_"+t+"_pointwise/convolution_bn_offset",1,r+"/batch_norm_offset")}}function i(e){var t="mobilenetv1/conv_"+e,i="MobilenetV1/Conv2d_"+e+"_depthwise",a=t+"/depthwise_conv",o=t+"/pointwise_conv";return{depthwise_conv:{filters:n(i+"/depthwise_weights",4,a+"/filters"),batch_norm_scale:n(i+"/BatchNorm/gamma",1,a+"/batch_norm_scale"),batch_norm_offset:n(i+"/BatchNorm/beta",1,a+"/batch_norm_offset"),batch_norm_mean:n(i+"/BatchNorm/moving_mean",1,a+"/batch_norm_mean"),batch_norm_variance:n(i+"/BatchNorm/moving_variance",1,a+"/batch_norm_variance")},pointwise_conv:r("MobilenetV1",e,o)}}function a(e,t){return{filters:n(e+"/weights",4,t+"/filters"),bias:n(e+"/biases",1,t+"/bias")}}function o(e){return{box_encoding_predictor:a("Prediction/BoxPredictor_"+e+"/BoxEncodingPredictor","prediction_layer/box_predictor_"+e+"/box_encoding_predictor"),class_predictor:a("Prediction/BoxPredictor_"+e+"/ClassPredictor","prediction_layer/box_predictor_"+e+"/class_predictor")}}return{extractMobilenetV1Params:function(){return{conv_0:r("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:i(1),conv_2:i(2),conv_3:i(3),conv_4:i(4),conv_5:i(5),conv_6:i(6),conv_7:i(7),conv_8:i(8),conv_9:i(9),conv_10:i(10),conv_11:i(11),conv_12:i(12),conv_13:i(13)}},extractPredictionLayerParams:function(){return{conv_0:r("Prediction",0,"prediction_layer/conv_0"),conv_1:r("Prediction",1,"prediction_layer/conv_1"),conv_2:r("Prediction",2,"prediction_layer/conv_2"),conv_3:r("Prediction",3,"prediction_layer/conv_3"),conv_4:r("Prediction",4,"prediction_layer/conv_4"),conv_5:r("Prediction",5,"prediction_layer/conv_5"),conv_6:r("Prediction",6,"prediction_layer/conv_6"),conv_7:r("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}}}(e,t),r=n.extractMobilenetV1Params,i=n.extractPredictionLayerParams,a=e["Output/extra_dim"];if(t.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!hV(a))throw new Error("expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have "+a);var o={mobilenetv1:r(),prediction_layer:i(),output_layer:{extra_dim:a}};return R$(e,t),{params:o,paramMappings:t}}(e)},t.prototype.extractParams=function(e){return function(e){var t=[],n=q$(e),r=n.extractWeights,i=n.getRemainingWeights,a=function(e,t){function n(n,r,i,a,o){var s=LI(e(n*r*i*i),[i,i,n,r]),u=BI(e(r));return t.push({paramPath:a+"/filters"},{paramPath:a+"/"+(o?"batch_norm_offset":"bias")}),{filters:s,bias:u}}function r(e,t,r,i){var a=n(e,t,r,i,!0);return{filters:a.filters,batch_norm_offset:a.bias}}function i(n,i,a){var o=function(n,r){var i=LI(e(9*n),[3,3,n,1]),a=BI(e(n)),o=BI(e(n)),s=BI(e(n)),u=BI(e(n));return t.push({paramPath:r+"/filters"},{paramPath:r+"/batch_norm_scale"},{paramPath:r+"/batch_norm_offset"},{paramPath:r+"/batch_norm_mean"},{paramPath:r+"/batch_norm_variance"}),{filters:i,batch_norm_scale:a,batch_norm_offset:o,batch_norm_mean:s,batch_norm_variance:u}}(n,a+"/depthwise_conv");return{depthwise_conv:o,pointwise_conv:r(n,i,1,a+"/pointwise_conv")}}return{extractMobilenetV1Params:function(){return{conv_0:r(3,32,3,"mobilenetv1/conv_0"),conv_1:i(32,64,"mobilenetv1/conv_1"),conv_2:i(64,128,"mobilenetv1/conv_2"),conv_3:i(128,128,"mobilenetv1/conv_3"),conv_4:i(128,256,"mobilenetv1/conv_4"),conv_5:i(256,256,"mobilenetv1/conv_5"),conv_6:i(256,512,"mobilenetv1/conv_6"),conv_7:i(512,512,"mobilenetv1/conv_7"),conv_8:i(512,512,"mobilenetv1/conv_8"),conv_9:i(512,512,"mobilenetv1/conv_9"),conv_10:i(512,512,"mobilenetv1/conv_10"),conv_11:i(512,512,"mobilenetv1/conv_11"),conv_12:i(512,1024,"mobilenetv1/conv_12"),conv_13:i(1024,1024,"mobilenetv1/conv_13")}},extractPredictionLayerParams:function(){return{conv_0:r(1024,256,1,"prediction_layer/conv_0"),conv_1:r(256,512,3,"prediction_layer/conv_1"),conv_2:r(512,128,1,"prediction_layer/conv_2"),conv_3:r(128,256,3,"prediction_layer/conv_3"),conv_4:r(256,128,1,"prediction_layer/conv_4"),conv_5:r(128,256,3,"prediction_layer/conv_5"),conv_6:r(256,64,1,"prediction_layer/conv_6"),conv_7:r(64,128,3,"prediction_layer/conv_7"),box_predictor_0:{box_encoding_predictor:n(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),class_predictor:n(512,9,1,"prediction_layer/box_predictor_0/class_predictor")},box_predictor_1:{box_encoding_predictor:n(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),class_predictor:n(1024,18,1,"prediction_layer/box_predictor_1/class_predictor")},box_predictor_2:{box_encoding_predictor:n(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),class_predictor:n(512,18,1,"prediction_layer/box_predictor_2/class_predictor")},box_predictor_3:{box_encoding_predictor:n(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),class_predictor:n(256,18,1,"prediction_layer/box_predictor_3/class_predictor")},box_predictor_4:{box_encoding_predictor:n(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),class_predictor:n(256,18,1,"prediction_layer/box_predictor_4/class_predictor")},box_predictor_5:{box_encoding_predictor:n(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),class_predictor:n(128,18,1,"prediction_layer/box_predictor_5/class_predictor")}}}}}(r,t),o=a.extractMobilenetV1Params,s=a.extractPredictionLayerParams,u=o(),c=s(),l={extra_dim:PI(r(20472),[1,5118,4])};if(t.push({paramPath:"output_layer/extra_dim"}),0!==i().length)throw new Error("weights remaing after extract: "+i().length);return{params:{mobilenetv1:u,prediction_layer:c,output_layer:l},paramMappings:t}}(e)},t}(M$);function BH(e){var t=new RH;return t.extractWeights(e),t}function zH(e){return BH(e)}var PH,LH=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t}(RH),jH=[new SV(.738768,.874946),new SV(2.42204,2.65704),new SV(4.30971,7.04493),new SV(10.246,4.59428),new SV(12.6868,11.8741)],UH=[new SV(1.603231,2.094468),new SV(6.041143,7.080126),new SV(2.882459,3.518061),new SV(4.266906,5.178857),new SV(9.041765,10.66308)],qH=[117.001,114.697,97.404],WH=function(e){return"number"==typeof e};function VH(e){if(!e)throw new Error("invalid config: "+e);if("boolean"!=typeof e.withSeparableConvs)throw new Error("config.withSeparableConvs has to be a boolean, have: "+e.withSeparableConvs);if(!WH(e.iouThreshold)||e.iouThreshold<0||e.iouThreshold>1)throw new Error("config.iouThreshold has to be a number between [0, 1], have: 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GH(e,t){return tI((function(){var n=AF(e,[[0,0],[1,1],[1,1],[0,0]]);return n=Ij(n,t.depthwise_filter,t.pointwise_filter,[1,1],"valid"),$H(n=PL(n,t.bias))}))}!function(e){e[e.XS=224]="XS",e[e.SM=320]="SM",e[e.MD=416]="MD",e[e.LG=608]="LG"}(PH||(PH={}));var KH=function(){function e(e){var t=void 0===e?{}:e,n=t.inputSize,r=t.scoreThreshold;if(this._name="TinyYolov2Options",this._inputSize=n||416,this._scoreThreshold=r||.5,"number"!=typeof this._inputSize||this._inputSize%32!=0)throw new Error(this._name+" - expected inputSize to be a number divisible by 32");if("number"!=typeof this._scoreThreshold||this._scoreThreshold<=0||this._scoreThreshold>=1)throw new Error(this._name+" - expected scoreThreshold to be a number between 0 and 1")}return Object.defineProperty(e.prototype,"inputSize",{get:function(){return this._inputSize},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"scoreThreshold",{get:function(){return this._scoreThreshold},enumerable:!0,configurable:!0}),e}(),XH=function(e){function t(t){var n=e.call(this,"TinyYolov2")||this;return VH(t),n._config=t,n}return iV(t,e),Object.defineProperty(t.prototype,"config",{get:function(){return this._config},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"withClassScores",{get:function(){return this.config.withClassScores||this.config.classes.length>1},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"boxEncodingSize",{get:function(){return 5+(this.withClassScores?this.config.classes.length:0)},enumerable:!0,configurable:!0}),t.prototype.runTinyYolov2=function(e,t){var n=HH(e,t.conv0);return n=HH(n=Hj(n,[2,2],[2,2],"same"),t.conv1),n=HH(n=Hj(n,[2,2],[2,2],"same"),t.conv2),n=HH(n=Hj(n,[2,2],[2,2],"same"),t.conv3),n=HH(n=Hj(n,[2,2],[2,2],"same"),t.conv4),n=HH(n=Hj(n,[2,2],[2,2],"same"),t.conv5),n=HH(n=Hj(n,[2,2],[1,1],"same"),t.conv6),F$(n=HH(n,t.conv7),t.conv8,"valid",!1)},t.prototype.runMobilenet=function(e,t){var n=this.config.isFirstLayerConv2d?$H(F$(e,t.conv0,"valid",!1)):GH(e,t.conv0);return n=GH(n=Hj(n,[2,2],[2,2],"same"),t.conv1),n=GH(n=Hj(n,[2,2],[2,2],"same"),t.conv2),n=GH(n=Hj(n,[2,2],[2,2],"same"),t.conv3),n=GH(n=Hj(n,[2,2],[2,2],"same"),t.conv4),n=GH(n=Hj(n,[2,2],[2,2],"same"),t.conv5),n=Hj(n,[2,2],[1,1],"same"),n=t.conv6?GH(n,t.conv6):n,F$(n=t.conv7?GH(n,t.conv7):n,t.conv8,"valid",!1)},t.prototype.forwardInput=function(e,t){var n=this,r=this.params;if(!r)throw new Error("TinyYolov2 - load model before inference");return tI((function(){var i=e.toBatchTensor(t,!1).toFloat();return i=(i=n.config.meanRgb?OV(i,n.config.meanRgb):i).div(RI(256)),n.config.withSeparableConvs?n.runMobilenet(i,r):n.runTinyYolov2(i,r)}))},t.prototype.forward=function(e,t){return oV(this,void 0,void 0,(function(){var n;return sV(this,(function(r){switch(r.label){case 0:return n=this.forwardInput,[4,x$(e)];case 1:return[4,n.apply(this,[r.sent(),t])];case 2:return[2,r.sent()]}}))}))},t.prototype.detect=function(e,t){return void 0===t&&(t={}),oV(this,void 0,void 0,(function(){var n,r,i,a,o,s,u,c,l,f,p,h,d=this;return sV(this,(function(m){switch(m.label){case 0:return n=new KH(t),r=n.inputSize,i=n.scoreThreshold,[4,x$(e)];case 1:return a=m.sent(),[4,this.forwardInput(a,r)];case 2:return o=m.sent(),s=tI((function(){return UF(o)[0].expandDims()})),u={width:a.getInputWidth(0),height:a.getInputHeight(0)},[4,this.extractBoxes(s,a.getReshapedInputDimensions(0),i)];case 3:return c=m.sent(),o.dispose(),s.dispose(),l=c.map((function(e){return e.box})),f=c.map((function(e){return e.score})),p=c.map((function(e){return e.classScore})),h=c.map((function(e){return d.config.classes[e.label]})),[2,TV(l.map((function(e){return e.rescale(r)})),f,this.config.iouThreshold,!0).map((function(e){return new kV(f[e],p[e],h[e],l[e],u)}))]}}))}))},t.prototype.getDefaultModelName=function(){return""},t.prototype.extractParamsFromWeigthMap=function(e){return function(e,t){var n,r=[],i=function(e,t){var n=U$(e,t);function r(e){return{filters:n(e+"/filters",4),bias:n(e+"/bias",1)}}return{extractConvParams:r,extractConvWithBatchNormParams:function(e){var t=r(e+"/conv"),i=function(e){return{sub:n(e+"/sub",1),truediv:n(e+"/truediv",1)}}(e+"/bn");return{conv:t,bn:i}},extractSeparableConvParams:j$(n)}}(e,r),a=i.extractConvParams,o=i.extractConvWithBatchNormParams,s=i.extractSeparableConvParams;if(t.withSeparableConvs){var u=t.filterSizes&&t.filterSizes.length||9;n={conv0:t.isFirstLayerConv2d?a("conv0"):s("conv0"),conv1:s("conv1"),conv2:s("conv2"),conv3:s("conv3"),conv4:s("conv4"),conv5:s("conv5"),conv6:u>7?s("conv6"):void 0,conv7:u>8?s("conv7"):void 0,conv8:a("conv8")}}else n={conv0:o("conv0"),conv1:o("conv1"),conv2:o("conv2"),conv3:o("conv3"),conv4:o("conv4"),conv5:o("conv5"),conv6:o("conv6"),conv7:o("conv7"),conv8:a("conv8")};return R$(e,r),{params:n,paramMappings:r}}(e,this.config)},t.prototype.extractParams=function(e){var n=this.config.filterSizes||t.DEFAULT_FILTER_SIZES,r=n?n.length:void 0;if(7!==r&&8!==r&&9!==r)throw new Error("TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found "+r+" filterSizes in config");return function(e,t,n,r){var i,a=q$(e),o=a.extractWeights,s=a.getRemainingWeights,u=[],c=function(e,t){var n=B$(e,t),r=L$(e,t);return{extractConvParams:n,extractConvWithBatchNormParams:function(r,i,a){var o=n(r,i,3,a+"/conv"),s=function(n,r){var i=BI(e(n)),a=BI(e(n));return t.push({paramPath:r+"/sub"},{paramPath:r+"/truediv"}),{sub:i,truediv:a}}(i,a+"/bn");return{conv:o,bn:s}},extractSeparableConvParams:r}}(o,u),l=c.extractConvParams,f=c.extractConvWithBatchNormParams,p=c.extractSeparableConvParams;if(t.withSeparableConvs){var h=r[0],d=r[1],m=r[2],g=r[3],v=r[4],y=r[5],b=r[6],x=r[7],w=r[8];i={conv0:t.isFirstLayerConv2d?l(h,d,3,"conv0"):p(h,d,"conv0"),conv1:p(d,m,"conv1"),conv2:p(m,g,"conv2"),conv3:p(g,v,"conv3"),conv4:p(v,y,"conv4"),conv5:p(y,b,"conv5"),conv6:x?p(b,x,"conv6"):void 0,conv7:w?p(x,w,"conv7"):void 0,conv8:l(w||x||b,5*n,1,"conv8")}}else h=r[0],d=r[1],m=r[2],g=r[3],v=r[4],y=r[5],b=r[6],x=r[7],w=r[8],i={conv0:f(h,d,"conv0"),conv1:f(d,m,"conv1"),conv2:f(m,g,"conv2"),conv3:f(g,v,"conv3"),conv4:f(v,y,"conv4"),conv5:f(y,b,"conv5"),conv6:f(b,x,"conv6"),conv7:f(x,w,"conv7"),conv8:l(w,5*n,1,"conv8")};if(0!==s().length)throw new Error("weights remaing after extract: "+s().length);return{params:i,paramMappings:u}}(e,this.config,this.boxEncodingSize,n)},t.prototype.extractBoxes=function(e,t,n){return oV(this,void 0,void 0,(function(){var r,i,a,o,s,u,c,l,f,p,h,d,m,g,v,y,b,x,w,E,C,S,N,A,k,D,_,M,T,O=this;return sV(this,(function(I){switch(I.label){case 0:return r=t.width,i=t.height,a=Math.max(r,i),o=a/r,s=a/i,u=e.shape[1],c=this.config.anchors.length,l=tI((function(){var t=e.reshape([u,u,c,O.boxEncodingSize]);return[t.slice([0,0,0,0],[u,u,c,4]),t.slice([0,0,0,4],[u,u,c,1]),O.withClassScores?gR(t.slice([0,0,0,5],[u,u,c,O.config.classes.length]),3):RI(0)]})),f=l[0],p=l[1],h=l[2],d=[],[4,p.array()];case 1:return m=I.sent(),[4,f.array()];case 2:g=I.sent(),v=0,I.label=3;case 3:if(!(v<u))return[3,12];y=0,I.label=4;case 4:if(!(y<u))return[3,11];b=0,I.label=5;case 5:return 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aV(aV({},e),{conv4:t,prelu4_alpha:o,fc1:s,prelu5_alpha:u,fc2_1:c,fc2_2:l,fc2_3:f})}}}(n,i),o=a.extractPNetParams,s=a.extractRNetParams,u=a.extractONetParams,c=o(),l=s(),f=u();if(0!==r().length)throw new Error("weights remaing after extract: "+r().length);return{params:{pnet:c,rnet:l,onet:f},paramMappings:i}}(e)},t}(M$),pG=[new SV(1.603231,2.094468),new SV(6.041143,7.080126),new SV(2.882459,3.518061),new SV(4.266906,5.178857),new SV(9.041765,10.66308)],hG=[117.001,114.697,97.404],dG=function(e){function t(){var t={withSeparableConvs:!0,iouThreshold:.4,classes:["face"],anchors:pG,meanRgb:hG,isFirstLayerConv2d:!0,filterSizes:[3,16,32,64,128,256,512]};return e.call(this,t)||this}return iV(t,e),Object.defineProperty(t.prototype,"anchors",{get:function(){return this.config.anchors},enumerable:!0,configurable:!0}),t.prototype.locateFaces=function(e,t){return oV(this,void 0,void 0,(function(){return sV(this,(function(n){switch(n.label){case 0:return[4,this.detect(e,t)];case 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mG.faceExpressionNet.predictExpressions(e)},SG=function(e){return mG.ageGenderNet.predictAgeAndGender(e)},NG=function(e){return mG.ssdMobilenetv1.load(e)},AG=function(e){return mG.tinyFaceDetector.load(e)},kG=function(e){return mG.mtcnn.load(e)},DG=function(e){return mG.tinyYolov2.load(e)},_G=function(e){return mG.faceLandmark68Net.load(e)},MG=function(e){return mG.faceLandmark68TinyNet.load(e)},TG=function(e){return mG.faceRecognitionNet.load(e)},OG=function(e){return mG.faceExpressionNet.load(e)},IG=function(e){return mG.ageGenderNet.load(e)},FG=NG,RG=gG,BG=xG,zG=function(e){function t(t,n,r){var i=e.call(this)||this;return i.parentTask=t,i.input=n,i.extractedFaces=r,i}return iV(t,e),t}(QH),PG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t,n=this;return sV(this,(function(r){switch(r.label){case 0:return[4,this.parentTask];case 1:return[4,eG(e=r.sent(),this.input,(function(e){return oV(n,void 0,void 0,(function(){return sV(this,(function(t){switch(t.label){case 0:return[4,Promise.all(e.map((function(e){return mG.faceExpressionNet.predictExpressions(e)})))];case 1:return[2,t.sent()]}}))}))}),this.extractedFaces)];case 2:return t=r.sent(),[2,e.map((function(e,n){return eH(e,t[n])}))]}}))}))},t.prototype.withAgeAndGender=function(){return new WG(this,this.input)},t}(zG),LG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t;return sV(this,(function(n){switch(n.label){case 0:return[4,this.parentTask];case 1:return(e=n.sent())?[4,tG(e,this.input,(function(e){return mG.faceExpressionNet.predictExpressions(e)}),this.extractedFaces)]:[2];case 2:return t=n.sent(),[2,eH(e,t)]}}))}))},t.prototype.withAgeAndGender=function(){return new VG(this,this.input)},t}(zG),jG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.withAgeAndGender=function(){return new $G(this,this.input)},t.prototype.withFaceDescriptors=function(){return new KG(this,this.input)},t}(PG),UG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.withAgeAndGender=function(){return new HG(this,this.input)},t.prototype.withFaceDescriptor=function(){return new XG(this,this.input)},t}(LG),qG=function(e){function t(t,n,r){var i=e.call(this)||this;return i.parentTask=t,i.input=n,i.extractedFaces=r,i}return iV(t,e),t}(QH),WG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t,n=this;return sV(this,(function(r){switch(r.label){case 0:return[4,this.parentTask];case 1:return[4,eG(e=r.sent(),this.input,(function(e){return oV(n,void 0,void 0,(function(){return sV(this,(function(t){switch(t.label){case 0:return[4,Promise.all(e.map((function(e){return mG.ageGenderNet.predictAgeAndGender(e)})))];case 1:return[2,t.sent()]}}))}))}),this.extractedFaces)];case 2:return t=r.sent(),[2,e.map((function(e,n){var r=t[n],i=r.age;return kH(_H(e,r.gender,r.genderProbability),i)}))]}}))}))},t.prototype.withFaceExpressions=function(){return new PG(this,this.input)},t}(qG),VG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t,n,r,i;return sV(this,(function(a){switch(a.label){case 0:return[4,this.parentTask];case 1:return(e=a.sent())?[4,tG(e,this.input,(function(e){return mG.ageGenderNet.predictAgeAndGender(e)}),this.extractedFaces)]:[2];case 2:return t=a.sent(),n=t.age,r=t.gender,i=t.genderProbability,[2,kH(_H(e,r,i),n)]}}))}))},t.prototype.withFaceExpressions=function(){return new LG(this,this.input)},t}(qG),$G=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.withFaceExpressions=function(){return new jG(this,this.input)},t.prototype.withFaceDescriptors=function(){return new KG(this,this.input)},t}(WG),HG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.withFaceExpressions=function(){return new UG(this,this.input)},t.prototype.withFaceDescriptor=function(){return new XG(this,this.input)},t}(VG),GG=function(e){function t(t,n){var r=e.call(this)||this;return r.parentTask=t,r.input=n,r}return iV(t,e),t}(QH),KG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e;return sV(this,(function(t){switch(t.label){case 0:return[4,this.parentTask];case 1:return[4,eG(e=t.sent(),this.input,(function(e){return Promise.all(e.map((function(e){return mG.faceRecognitionNet.computeFaceDescriptor(e)})))}),null,(function(e){return e.landmarks.align(null,{useDlibAlignment:!0})}))];case 2:return[2,t.sent().map((function(t,n){return NH(e[n],t)}))]}}))}))},t.prototype.withFaceExpressions=function(){return new jG(this,this.input)},t.prototype.withAgeAndGender=function(){return new $G(this,this.input)},t}(GG),XG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t;return sV(this,(function(n){switch(n.label){case 0:return[4,this.parentTask];case 1:return(e=n.sent())?[4,tG(e,this.input,(function(e){return mG.faceRecognitionNet.computeFaceDescriptor(e)}),null,(function(e){return e.landmarks.align(null,{useDlibAlignment:!0})}))]:[2];case 2:return t=n.sent(),[2,NH(e,t)]}}))}))},t.prototype.withFaceExpressions=function(){return new UG(this,this.input)},t.prototype.withAgeAndGender=function(){return new HG(this,this.input)},t}(GG),YG=function(e){function t(t,n,r){var i=e.call(this)||this;return i.parentTask=t,i.input=n,i.useTinyLandmarkNet=r,i}return iV(t,e),Object.defineProperty(t.prototype,"landmarkNet",{get:function(){return this.useTinyLandmarkNet?mG.faceLandmark68TinyNet:mG.faceLandmark68Net},enumerable:!0,configurable:!0}),t}(QH),JG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t,n,r,i,a=this;return sV(this,(function(o){switch(o.label){case 0:return[4,this.parentTask];case 1:return e=o.sent(),t=e.map((function(e){return e.detection})),this.input instanceof NT?[4,E$(this.input,t)]:[3,3];case 2:return r=o.sent(),[3,5];case 3:return[4,w$(this.input,t)];case 4:r=o.sent(),o.label=5;case 5:return n=r,[4,Promise.all(n.map((function(e){return a.landmarkNet.detectLandmarks(e)})))];case 6:return i=o.sent(),n.forEach((function(e){return e instanceof NT&&e.dispose()})),[2,e.map((function(e,t){return rH(e,i[t])}))]}}))}))},t.prototype.withFaceExpressions=function(){return new jG(this,this.input)},t.prototype.withAgeAndGender=function(){return new $G(this,this.input)},t.prototype.withFaceDescriptors=function(){return new KG(this,this.input)},t}(YG),ZG=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t,n,r,i;return sV(this,(function(a){switch(a.label){case 0:return[4,this.parentTask];case 1:return(e=a.sent())?(t=e.detection,this.input instanceof NT?[4,E$(this.input,[t])]:[3,3]):[2];case 2:return r=a.sent(),[3,5];case 3:return[4,w$(this.input,[t])];case 4:r=a.sent(),a.label=5;case 5:return n=r,[4,this.landmarkNet.detectLandmarks(n[0])];case 6:return i=a.sent(),n.forEach((function(e){return e instanceof NT&&e.dispose()})),[2,rH(e,i)]}}))}))},t.prototype.withFaceExpressions=function(){return new UG(this,this.input)},t.prototype.withAgeAndGender=function(){return new HG(this,this.input)},t.prototype.withFaceDescriptor=function(){return new XG(this,this.input)},t}(YG),QG=function(e){function t(t,n){void 0===n&&(n=new FH);var r=e.call(this)||this;return r.input=t,r.options=n,r}return iV(t,e),t}(QH),eK=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t,n,r;return sV(this,(function(i){switch(i.label){case 0:return t=(e=this).input,(n=e.options)instanceof MH?[4,mG.mtcnn.forward(t,n)]:[3,2];case 1:return[2,i.sent().map((function(e){return e.detection}))];case 2:if(r=n instanceof ZH?function(e){return mG.tinyFaceDetector.locateFaces(e,n)}:n instanceof FH?function(e){return mG.ssdMobilenetv1.locateFaces(e,n)}:n instanceof KH?function(e){return mG.tinyYolov2.locateFaces(e,n)}:null,!r)throw new Error("detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TinyYolov2Options");return[2,r(t)]}}))}))},t.prototype.runAndExtendWithFaceDetections=function(){var e=this;return new Promise((function(t){return oV(e,void 0,void 0,(function(){var e;return sV(this,(function(n){switch(n.label){case 0:return[4,this.run()];case 1:return e=n.sent(),[2,t(e.map((function(e){return GV({},e)})))]}}))}))}))},t.prototype.withFaceLandmarks=function(e){return void 0===e&&(e=!1),new JG(this.runAndExtendWithFaceDetections(),this.input,e)},t.prototype.withFaceExpressions=function(){return new PG(this.runAndExtendWithFaceDetections(),this.input)},t.prototype.withAgeAndGender=function(){return new WG(this.runAndExtendWithFaceDetections(),this.input)},t}(QG),tK=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return iV(t,e),t.prototype.run=function(){return oV(this,void 0,void 0,(function(){var e,t;return sV(this,(function(n){switch(n.label){case 0:return[4,new eK(this.input,this.options)];case 1:return e=n.sent(),t=e[0],e.forEach((function(e){e.score>t.score&&(t=e)})),[2,t]}}))}))},t.prototype.runAndExtendWithFaceDetection=function(){var e=this;return new Promise((function(t){return oV(e,void 0,void 0,(function(){var e;return sV(this,(function(n){switch(n.label){case 0:return[4,this.run()];case 1:return e=n.sent(),[2,t(e?GV({},e):void 0)]}}))}))}))},t.prototype.withFaceLandmarks=function(e){return void 0===e&&(e=!1),new ZG(this.runAndExtendWithFaceDetection(),this.input,e)},t.prototype.withFaceExpressions=function(){return new LG(this.runAndExtendWithFaceDetection(),this.input)},t.prototype.withAgeAndGender=function(){return new VG(this.runAndExtendWithFaceDetection(),this.input)},t}(QG);function nK(e,t){return void 0===t&&(t=new FH),new tK(e,t)}function rK(e,t){return void 0===t&&(t=new FH),new eK(e,t)}function iK(e,t){return oV(this,void 0,void 0,(function(){return sV(this,(function(n){switch(n.label){case 0:return console.warn("allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead"),[4,rK(e,new FH(t?{minConfidence:t}:{})).withFaceLandmarks().withFaceDescriptors()];case 1:return[2,n.sent()]}}))}))}function aK(e,t){return void 0===t&&(t={}),oV(this,void 0,void 0,(function(){return sV(this,(function(n){switch(n.label){case 0:return console.warn("allFacesTinyYolov2 is deprecated and will be removed soon, use the high level api instead"),[4,rK(e,new KH(t)).withFaceLandmarks().withFaceDescriptors()];case 1:return[2,n.sent()]}}))}))}function oK(e,t){return void 0===t&&(t={}),oV(this,void 0,void 0,(function(){return sV(this,(function(n){switch(n.label){case 0:return console.warn("allFacesMtcnn is deprecated and will be removed soon, use the high level api instead"),[4,rK(e,new MH(t)).withFaceLandmarks().withFaceDescriptors()];case 1:return[2,n.sent()]}}))}))}var sK=iK;function uK(e,t){if(e.length!==t.length)throw new Error("euclideanDistance: arr1.length !== arr2.length");var n=Array.from(e),r=Array.from(t);return Math.sqrt(n.map((function(e,t){return e-r[t]})).reduce((function(e,t){return e+Math.pow(t,2)}),0))}var cK=function(){function e(e,t){void 0===t&&(t=.6),this._distanceThreshold=t;var n=Array.isArray(e)?e:[e];if(!n.length)throw new Error("FaceRecognizer.constructor - expected atleast one input");var r=1,i=function(){return"person "+r++};this._labeledDescriptors=n.map((function(e){if(e instanceof VV)return e;if(e instanceof Float32Array)return new VV(i(),[e]);if(e.descriptor&&e.descriptor instanceof Float32Array)return new VV(i(),[e.descriptor]);throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array | Array<LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array>")}))}return Object.defineProperty(e.prototype,"labeledDescriptors",{get:function(){return this._labeledDescriptors},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"distanceThreshold",{get:function(){return this._distanceThreshold},enumerable:!0,configurable:!0}),e.prototype.computeMeanDistance=function(e,t){return t.map((function(t){return uK(t,e)})).reduce((function(e,t){return e+t}),0)/(t.length||1)},e.prototype.matchDescriptor=function(e){var t=this;return this.labeledDescriptors.map((function(n){var r=n.descriptors,i=n.label;return new qV(i,t.computeMeanDistance(e,r))})).reduce((function(e,t){return e.distance<t.distance?e:t}))},e.prototype.findBestMatch=function(e){var t=this.matchDescriptor(e);return t.distance<this.distanceThreshold?t:new qV("unknown",t.distance)},e.prototype.toJSON=function(){return{distanceThreshold:this.distanceThreshold,labeledDescriptors:this.labeledDescriptors.map((function(e){return e.toJSON()}))}},e.fromJSON=function(t){var n=t.labeledDescriptors.map((function(e){return VV.fromJSON(e)}));return new e(n,t.distanceThreshold)},e}();function lK(e){var t=new fG;return t.extractWeights(e),t}function fK(e){var t=new dG;return t.extractWeights(e),t}function pK(e,t){var n=new cV(t.width,t.height),r=n.width,i=n.height;if(r<=0||i<=0)throw new Error("resizeResults - invalid dimensions: "+JSON.stringify({width:r,height:i}));if(Array.isArray(e))return e.map((function(e){return pK(e,{width:r,height:i})}));if(nH(e)){var a=e.detection.forSize(r,i),o=e.unshiftedLandmarks.forSize(a.box.width,a.box.height);return rH(GV(e,a),o)}return HV(e)?GV(e,e.detection.forSize(r,i)):e instanceof LV||e instanceof DV?e.forSize(r,i):e}const hK="https://raw.githubusercontent.com/ml5js/ml5-data-and-models/main/models/faceapi/ssd_mobilenetv1_model-weights_manifest.json",dK="https://raw.githubusercontent.com/ml5js/ml5-data-and-models/main/models/faceapi/tiny_face_detector_model-weights_manifest.json",mK="https://raw.githubusercontent.com/ml5js/ml5-data-and-models/main/models/faceapi/face_landmark_68_model-weights_manifest.json",gK="https://raw.githubusercontent.com/ml5js/ml5-data-and-models/main/models/faceapi/face_landmark_68_tiny_model-weights_manifest.json",vK="https://raw.githubusercontent.com/ml5js/ml5-data-and-models/main/models/faceapi/face_recognition_model-weights_manifest.json";class yK{constructor(e,t,n){this.video=e,this.model=null,this.modelReady=!1,this.detectorOptions=null,this.config={minConfidence:this.checkUndefined(t.minConfidence,.5),withLandmarks:this.checkUndefined(t.withLandmarks,true),withDescriptors:this.checkUndefined(t.withDescriptors,true),withTinyNet:this.checkUndefined(t.withTinyNet,true),MODEL_URLS:{Mobilenetv1Model:this.checkUndefined(t.Mobilenetv1Model,hK),TinyFaceDetectorModel:this.checkUndefined(t.TinyFaceDetectorModel,dK),FaceLandmarkModel:this.checkUndefined(t.FaceLandmarkModel,mK),FaceLandmark68TinyNet:this.checkUndefined(t.FaceLandmark68TinyNet,gK),FaceRecognitionModel:this.checkUndefined(t.FaceRecognitionModel,vK)}},this.ready=kA(this.loadModel(),n)}async loadModel(){const e=["Mobilenetv1Model","TinyFaceDetectorModel","FaceLandmarkModel","FaceLandmark68TinyNet","FaceRecognitionModel"];Object.keys(this.config.MODEL_URLS).forEach((t=>{e.includes(t)&&(this.config.MODEL_URLS[t]=this.getModelPath(this.config.MODEL_URLS[t]))}));const{Mobilenetv1Model:t,TinyFaceDetectorModel:n,FaceLandmarkModel:r,FaceRecognitionModel:i,FaceLandmark68TinyNet:a}=this.config.MODEL_URLS;return this.model=h,!0===this.config.withTinyNet?this.detectorOptions=new ZH({minConfidence:this.minConfidence,inputSize:512}):this.detectorOptions=new FH({minConfidence:this.minConfidence}),!0===this.config.withTinyNet?(await this.model.loadFaceLandmarkTinyModel(a),await this.model.loadTinyFaceDetectorModel(n)):(await this.model.loadFaceLandmarkModel(r),await this.model.loadSsdMobilenetv1Model(t)),await this.model.loadFaceRecognitionModel(i),this.modelReady=!0,this}async detect(e,t,n){let r,i=this.video,a=this.config;if("function"==typeof e)i=this.video,r=e;else if(e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof HTMLVideoElement||e instanceof ImageData)i=e;else if("object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof HTMLVideoElement||e.elt instanceof ImageData))i=e.elt;else if("object"==typeof e&&e.canvas instanceof HTMLCanvasElement)i=e.canvas;else if(!(this.video instanceof HTMLVideoElement))throw new Error("No input image provided. If you want to classify a video, pass the video element in the constructor. ");return"object"==typeof t?a=t:"function"==typeof t&&(r=t),"function"==typeof n&&(r=n),kA(this.detectInternal(i,a),r)}async detectInternal(e,t){await this.ready,await m.nextFrame(),this.video&&0===this.video.readyState&&await new Promise((e=>{this.video.onloadeddata=()=>e()})),this.config=this.setReturnOptions(t);const{withLandmarks:n,withDescriptors:r}=this.config;let i;return i=n?r?await this.model.detectAllFaces(e,this.detectorOptions).withFaceLandmarks(this.config.withTinyNet).withFaceDescriptors():await this.model.detectAllFaces(e,this.detectorOptions).withFaceLandmarks(this.config.withTinyNet):n?await this.model.detectAllFaces(e,this.detectorOptions).withFaceLandmarks(this.config.withTinyNet).withFaceDescriptors():await this.model.detectAllFaces(e),i=this.resizeResults(i,e.width,e.height),i=this.landmarkParts(i),i}async detectSingle(e,t,n){let r,i=this.video,a=this.config;if("function"==typeof e)i=this.video,r=e;else if(e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof HTMLVideoElement||e instanceof ImageData)i=e;else if("object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof HTMLVideoElement||e.elt instanceof ImageData))i=e.elt;else if("object"==typeof e&&e.canvas instanceof HTMLCanvasElement)i=e.canvas;else if(!(this.video instanceof HTMLVideoElement))throw new Error("No input image provided. If you want to classify a video, pass the video element in the constructor. ");return"object"==typeof t?a=t:"function"==typeof t&&(r=t),"function"==typeof n&&(r=n),kA(this.detectSingleInternal(i,a),r)}async detectSingleInternal(e,t){await this.ready,await m.nextFrame(),this.video&&0===this.video.readyState&&await new Promise((e=>{this.video.onloadeddata=()=>e()})),this.config=this.setReturnOptions(t);const{withLandmarks:n,withDescriptors:r}=this.config;let i;return i=n?r?await this.model.detectSingleFace(e,this.detectorOptions).withFaceLandmarks(this.config.withTinyNet).withFaceDescriptor():await this.model.detectSingleFace(e,this.detectorOptions).withFaceLandmarks(this.config.withTinyNet):n?await this.model.detectSingleFace(e,this.detectorOptions).withFaceLandmarks(this.config.withTinyNet).withFaceDescriptor():await this.model.detectSingleFace(e),i=this.resizeResults(i,e.width,e.height),i=this.landmarkParts(i),i}checkUndefined(e,t){return void 0!==e?e:t}getModelPath(e){return this.isAbsoluteURL(e)?e:window.location.pathname+e}setReturnOptions(e){const t=Object.assign({},this.config);return["withLandmarks","withDescriptors"].forEach((n=>{void 0!==e[n]?this.config[n]=e[n]:t[n]=this.config[n]})),t}resizeResults(e,t,n){if(void 0===t||void 0===n)throw new Error("width and height must be defined");return this.model.resizeResults(e,{width:t,height:n})}isAbsoluteURL(e){return!!new RegExp("^(?:[a-z]+:)?//","i").test(e)}landmarkParts(e){let t;if(!0===Array.isArray(e))t=e.map((e=>{const t=Object.assign({},e);if(t.landmarks){const{landmarks:e}=t;t.parts={mouth:e.getMouth(),nose:e.getNose(),leftEye:e.getLeftEye(),leftEyeBrow:e.getLeftEyeBrow(),rightEye:e.getRightEye(),rightEyeBrow:e.getRightEyeBrow(),jawOutline:e.getJawOutline()}}else t.parts={mouth:[],nose:[],leftEye:[],leftEyeBrow:[],rightEye:[],rightEyeBrow:[],jawOutline:[]};return t}));else if(t=Object.assign({},e),t.landmarks){const{landmarks:n}=e;t.parts={mouth:n.getMouth(),nose:n.getNose(),leftEye:n.getLeftEye(),leftEyeBrow:n.getLeftEyeBrow(),rightEye:n.getRightEye(),rightEyeBrow:n.getRightEyeBrow()}}else t.parts={mouth:[],nose:[],leftEye:[],leftEyeBrow:[],rightEye:[],rightEyeBrow:[]};return t}}class bK{constructor(e,t,n){this.config={k:t.k||3,maxIter:t.maxIter||5,threshold:t.threshold||.5},this.ready=kA(this.load(e),n)}async load(e){return this.dataset=await async function(e){let t;t="string"==typeof e?await async function(e){const t=m.data.csv(e);return await t.toArray()}(e):e;const n=t.map((e=>Object.values(e)));return n}(e),m.tidy((()=>{this.dataTensor=m.tensor2d(this.dataset),this.dataset.forEach((e=>{const t=m.tensor1d(Object.values(e));e.tensor=t})),this.centroids=m.tensor2d(((e,t,n=!1)=>{let r;if(!0===n)r=Array.from({length:t},(()=>e[Math.floor(Math.random()*e.length)]));else{if(t>e.length)throw new RangeError("Sample size must be less than or equal to array length when sampling without replacement.");r=e.map((e=>[e,Math.random()])).sort(((e,t)=>e[1]<t[1]?-1:1)).slice(0,t).map((e=>e[0]))}return r})(this.dataset,this.config.k,!1)),this.fit()})),this}fit(){this.getClosestCentroids(),this.recenterCentroids();let e=bK.getEuclidianDistance(this.centroids,this.centroidsOld),t=0;for(;e>this.config.threshold&&t<this.config.maxIter;)this.getClosestCentroids(),this.recenterCentroids(),e=bK.getEuclidianDistance(this.centroids,this.centroidsOld),t+=1}getClosestCentroids(){this.dataset.forEach((e=>{const t=this.closestCentroid(e.tensor);e.centroid=t}))}closestCentroid(e){return m.tidy((()=>this.centroids.squaredDifference(e).sum(1).sqrt().argMin().arraySync()))}classify(e){return m.tidy((()=>{const t=m.tensor1d(Object.values(e));return this.closestCentroid(t)}))}recenterCentroids(){const e=m.tidy((()=>(this.centroidsOld=this.centroids,m.stack(this.centroids.unstack().map(((e,t)=>{const n=this.dataset.filter((e=>e.centroid===t)),r=n.map((e=>e.tensor));return 0===r.length?e:1===r.length?r[0]:m.tidy((()=>m.stack(r).mean(0)))}))))));this.centroids=e}static getEuclidianDistance(e,t){return m.tidy((()=>m.squaredDifference(e,t).sum().sqrt().dataSync()))[0]}}const xK=256;class wK{constructor(e,t){this.config={modelUrl:e.modelUrl?e.modelUrl:"https://raw.githubusercontent.com/Derek-Wds/training_CartoonGAN/master/tfModels/Miyazaki/model.json",returnTensors:!!e.returnTensors&&e.returnTensors},this.model={},this.ready=!1,this.ready=kA(this.loadModel(this.config.modelUrl),t)}async loadModel(e){return this.model=await m.loadGraphModel(e),this}async generate(e,t){let n,r=t;if(rk(e))n=e;else if("object"==typeof e&&rk(e.elt))n=e.elt;else if("object"==typeof e&&rk(e.canvas))n=e.canvas;else{if("function"!=typeof e)throw new Error("Detection subject not supported");n=this.video,r=e}return kA(this.generateInternal(n),r)}async generateInternal(e){await this.ready,await m.nextFrame();let t=m.browser.fromPixels(e).resizeBilinear([xK,xK]);if(t.shape[0]!==xK||t.shape[1]!==xK)throw new Error(`Input size should be 256*256 but ${t.shape} is found`);if(3!==t.shape[2])throw new Error(`Input color channel number should be 3 but ${t.shape[2]} is found`);t=t.sub(127.5).div(127.5).reshape([1,xK,xK,3]);const n=m.ones([xK,xK,1]).tile([1,1,1]).mul(255);let r=this.model.predict(t);r=r.add(1).mul(127.5).reshape([xK,xK,3]).floor(),r=r.concat(n,2);const i=this.resultFinalize(r);return this.config.returnTensors||(t.dispose(),r.dispose()),i}async resultFinalize(e){const t=e,n=await e.data(),r=await JA.rawToBlob(n,e.shape[0],e.shape[1]),i=await JA.blobToP5Image(r);return this.config.returnTensors?{tensor:t,raw:n,blob:r,image:i}:{raw:n,blob:r,image:i}}}function EK(e,t,n,r){return new(n||(n=Promise))((function(i,a){function o(e){try{u(r.next(e))}catch(e){a(e)}}function s(e){try{u(r.throw(e))}catch(e){a(e)}}function u(e){var t;e.done?i(e.value):(t=e.value,t instanceof n?t:new n((function(e){e(t)}))).then(o,s)}u((r=r.apply(e,t||[])).next())}))}function CK(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError("Generator is already executing.");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var SK=function(e){for(var t=[],n=0,r=e;n<r.length;n++){var i=r[n];t.push(i)}return t},NK=function(){this.parent=null,this.children={},this.end=!1,this.word=[[],0,0]},AK=function(){function e(){this.root=new NK}return e.prototype.insert=function(e,t,n){for(var r=this.root,i=SK(e),a=0;a<i.length;a++)r.children[i[a]]||(r.children[i[a]]=new NK,r.children[i[a]].parent=r,r.children[i[a]].word[0]=r.word[0].concat(i[a])),r=r.children[i[a]],a===i.length-1&&(r.end=!0,r.word[1]=t,r.word[2]=n)},e.prototype.commonPrefixSearch=function(e){for(var t=[],n=this.root.children[e[0]],r=0;r<e.length&&n;r++)n.end&&t.push(n.word),n=n.children[e[r+1]];return t.length||t.push([[e[0]],0,0]),t},e}(),kK=function(){function e(e,t){void 0===t&&(t=6),this.vocabulary=e,this.reservedSymbolsCount=t,this.trie=new AK;for(var n=this.reservedSymbolsCount;n<this.vocabulary.length;n++)this.trie.insert(this.vocabulary[n][0],this.vocabulary[n][1],n)}return e.prototype.encode=function(e){var t=[],n=[],r=[];e=function(e){var t=e.normalize("NFKC");return t.length>0?"▁"+t.replace(/ /g,"▁"):t}(e);for(var i=SK(e),a=0;a<=i.length;a++)t.push({}),n.push(0),r.push(0);for(a=0;a<i.length;a++)for(var o=this.trie.commonPrefixSearch(i.slice(a)),s=0;s<o.length;s++){var u=o[s],c={key:u[0],score:u[1],index:u[2]};null==t[a+(l=u[0].length)][a]&&(t[a+l][a]=[]),t[a+l][a].push(c)}for(var l=0;l<=i.length;l++)for(var f in t[l]){var p=t[l][f];for(s=0;s<p.length;s++){var h=p[s],d=h.score+r[l-h.key.length];(0===r[l]||d>=r[l])&&(r[l]=d,n[l]=p[s].index)}}for(var m=[],g=n.length-1;g>0;)m.push(n[g]),g-=this.vocabulary[n[g]][0].length;var v=[],y=!1;for(a=0;a<m.length;a++){var b=m[a];y&&0===b||v.push(b),y=0===b}return v.reverse()},e}();function DK(e){return EK(this,void 0,void 0,(function(){return CK(this,(function(t){switch(t.label){case 0:return[4,OA.util.fetch(e)];case 1:return[2,t.sent().json()]}}))}))}var _K="https://tfhub.dev/google/tfjs-model/universal-sentence-encoder-qa-ondevice/1",MK=[0,1,2],TK=192;!function(){function e(){}e.prototype.loadModel=function(){return EK(this,void 0,void 0,(function(){return CK(this,(function(e){return[2,(0,TA.loadGraphModel)(_K,{fromTFHub:!0})]}))}))},e.prototype.load=function(){return EK(this,void 0,void 0,(function(){var e,t,n;return CK(this,(function(r){switch(r.label){case 0:return[4,Promise.all([this.loadModel(),DK(_K+"/vocab.json?tfjs-format=file")])];case 1:return e=r.sent(),t=e[0],n=e[1],this.model=t,this.tokenizer=new kK(n,3),[2]}}))}))},e.prototype.embed=function(e){var t=this,n=(0,OA.tidy)((function(){var n=t.tokenizeStrings(e.queries,TK),r=t.tokenizeStrings(e.responses,TK);if(null!=e.contexts&&e.contexts.length!==e.responses.length)throw new Error("The length of response strings and context strings need to match.");var i=e.contexts||[];null==e.contexts&&(i.length=e.responses.length,i.fill(""));var a=t.tokenizeStrings(i,TK),o={};return o.input_inp_text=n,o.input_res_text=r,o.input_res_context=a,t.model.execute(o,["Final/EncodeQuery/mul","Final/EncodeResult/mul"])}));return{queryEmbedding:n[0],responseEmbedding:n[1]}},e.prototype.tokenizeStrings=function(e,t){var n=this,r=e.map((function(e){return n.shiftTokens(n.tokenizer.encode(e),TK)}));return(0,OA.tensor2d)(r,[e.length,TK],"int32")},e.prototype.shiftTokens=function(e,t){e.unshift(1);for(var n=0;n<t;n++)n>=e.length?e[n]=2:MK.includes(e[n])||(e[n]+=3);return e.slice(0,t)}}();var OK=function(){function e(){}return e.prototype.loadModel=function(e){return EK(this,void 0,void 0,(function(){return CK(this,(function(t){return[2,e?(0,TA.loadGraphModel)(e):(0,TA.loadGraphModel)("https://tfhub.dev/tensorflow/tfjs-model/universal-sentence-encoder-lite/1/default/1",{fromTFHub:!0})]}))}))},e.prototype.load=function(e){return void 0===e&&(e={}),EK(this,void 0,void 0,(function(){var t,n,r;return CK(this,(function(i){switch(i.label){case 0:return[4,Promise.all([this.loadModel(e.modelUrl),DK(e.vocabUrl||"https://storage.googleapis.com/tfjs-models/savedmodel/universal_sentence_encoder/vocab.json")])];case 1:return t=i.sent(),n=t[0],r=t[1],this.model=n,this.tokenizer=new kK(r),[2]}}))}))},e.prototype.embed=function(e){return EK(this,void 0,void 0,(function(){var t,n,r,i,a,o,s,u,c=this;return CK(this,(function(l){switch(l.label){case 0:for("string"==typeof e&&(e=[e]),t=e.map((function(e){return c.tokenizer.encode(e)})),n=t.map((function(e,t){return e.map((function(e,n){return[t,n]}))})),r=[],i=0;i<n.length;i++)r=r.concat(n[i]);return a=(0,OA.tensor2d)(r,[r.length,2],"int32"),o=(0,OA.tensor1d)(OA.util.flatten(t),"int32"),s={indices:a,values:o},[4,this.model.executeAsync(s)];case 1:return u=l.sent(),a.dispose(),o.dispose(),[2,u]}}))}))},e}();class IK{constructor(e,t){this.model=null,this.tokenizer=null,this.config={withTokenizer:e.withTokenizer||false},kA(this.loadModel(),t)}async loadModel(){return!0===this.config.withTokenizer&&(this.tokenizer=await function(e){return EK(this,void 0,void 0,(function(){var e;return CK(this,(function(t){switch(t.label){case 0:return[4,DK(undefined)];case 1:return e=t.sent(),[2,new kK(e)]}}))}))}()),this.model=await function(e){return EK(this,void 0,void 0,(function(){var e;return CK(this,(function(t){switch(t.label){case 0:return[4,(e=new OK).load(undefined)];case 1:return t.sent(),[2,e]}}))}))}(),this}predict(e,t){return kA(this.predictInternal(e),t)}async predictInternal(e){try{const t=await this.model.embed(e),n=await t.array();return t.dispose(),n}catch(e){return console.error(e),e}}encode(e,t){return kA(this.encodeInternal(e),t)}async encodeInternal(e){return!0===this.config.withTokenizer?this.tokenizer.encode(e):(console.error('withTokenizer must be set to true - please pass "withTokenizer:true" as an option in the constructor'),!1)}}const FK=e=>({startEndTensor:e,startPoint:(0,OA.slice)(e,[0,0],[-1,2]),endPoint:(0,OA.slice)(e,[0,2],[-1,2])}),RK={strides:[8,16],anchors:[2,6]};function BK(e,t){let n,r,i;if(e.topLeft instanceof OA.Tensor&&e.bottomRight instanceof OA.Tensor){const[a,o]=(0,OA.tidy)((()=>[(0,OA.concat)([(0,OA.sub)(t-1,e.topLeft.slice(0,1)),e.topLeft.slice(1,1)]),(0,OA.concat)([(0,OA.sub)(t-1,e.bottomRight.slice(0,1)),e.bottomRight.slice(1,1)])]));n=a,r=o,null!=e.landmarks&&(i=(0,OA.tidy)((()=>{const n=(0,OA.sub)((0,OA.tensor1d)([t-1,0]),e.landmarks),r=(0,OA.tensor1d)([1,-1]);return(0,OA.mul)(n,r)})))}else{const[a,o]=e.topLeft,[s,u]=e.bottomRight;n=[t-1-a,o],r=[t-1-s,u],null!=e.landmarks&&(i=e.landmarks.map((e=>[t-1-e[0],e[1]])))}const a={topLeft:n,bottomRight:r};return null!=i&&(a.landmarks=i),null!=e.probability&&(a.probability=e.probability instanceof OA.Tensor?e.probability.clone():e.probability),a}function zK(e,t){return(0,OA.tidy)((()=>{let n;return n=e.hasOwnProperty("box")?e.box:e,((e,t)=>{const n=(0,OA.mul)(e.startPoint,t),r=(0,OA.mul)(e.endPoint,t),i=(0,OA.concat2d)([n,r],1);return FK(i)})(n,t).startEndTensor.squeeze()}))}class PK{constructor(e,t,n,r,i,a){this.blazeFaceModel=e,this.width=t,this.height=n,this.maxFaces=r,this.anchorsData=function(e,t,n){const r=[];for(let i=0;i<n.strides.length;i++){const a=n.strides[i],o=Math.floor((t+a-1)/a),s=Math.floor((e+a-1)/a),u=n.anchors[i];for(let e=0;e<o;e++){const t=a*(e+.5);for(let e=0;e<s;e++){const n=a*(e+.5);for(let e=0;e<u;e++)r.push([n,t])}}}return r}(t,n,RK),this.anchors=(0,OA.tensor2d)(this.anchorsData),this.inputSizeData=[t,n],this.inputSize=(0,OA.tensor1d)([t,n]),this.iouThreshold=i,this.scoreThreshold=a}async getBoundingBoxes(e,t,n=!0){const[r,i,a]=(0,OA.tidy)((()=>{const t=e.resizeBilinear([this.width,this.height]),n=(0,OA.mul)((0,OA.sub)(t.div(255),.5),2),r=this.blazeFaceModel.predict(n).squeeze(),i=function(e,t,n){const r=(0,OA.slice)(e,[0,1],[-1,2]),i=(0,OA.add)(r,t),a=(0,OA.slice)(e,[0,3],[-1,2]),o=(0,OA.div)(a,n),s=(0,OA.div)(i,n),u=(0,OA.div)(o,2),c=(0,OA.sub)(s,u),l=(0,OA.add)(s,u),f=(0,OA.mul)(c,n),p=(0,OA.mul)(l,n);return(0,OA.concat2d)([f,p],1)}(r,this.anchors,this.inputSize),a=(0,OA.slice)(r,[0,0],[-1,1]);return[r,i,(0,OA.sigmoid)(a).squeeze()]})),o=console.warn;console.warn=()=>{};const s=OA.image.nonMaxSuppression(i,a,this.maxFaces,this.iouThreshold,this.scoreThreshold);console.warn=o;const u=await s.array();s.dispose();let c=u.map((e=>(0,OA.slice)(i,[e,0],[1,-1])));t||(c=await Promise.all(c.map((async e=>{const t=await e.array();return e.dispose(),t}))));const l=e.shape[1],f=e.shape[2];let p;p=t?(0,OA.div)([f,l],this.inputSize):[f/this.inputSizeData[0],l/this.inputSizeData[1]];const h=[];for(let e=0;e<c.length;e++){const i=c[e],o=(0,OA.tidy)((()=>{const o=FK(i instanceof OA.Tensor?i:(0,OA.tensor2d)(i));if(!n)return o;const s=u[e];let c;return c=t?this.anchors.slice([s,0],[1,2]):this.anchorsData[s],{box:o,landmarks:(0,OA.slice)(r,[s,5],[1,-1]).squeeze().reshape([6,-1]),probability:(0,OA.slice)(a,[s],[1]),anchor:c}}));h.push(o)}return i.dispose(),a.dispose(),r.dispose(),{boxes:h,scaleFactor:p}}async estimateFaces(e,t=!1,n=!1,r=!0){const[,i]=function(e){return e instanceof OA.Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width]}(e),a=(0,OA.tidy)((()=>(e instanceof OA.Tensor||(e=OA.browser.fromPixels(e)),e.toFloat().expandDims(0)))),{boxes:o,scaleFactor:s}=await this.getBoundingBoxes(a,t,r);return a.dispose(),t?o.map((e=>{const t=zK(e,s);let a={topLeft:t.slice([0],[2]),bottomRight:t.slice([2],[2])};if(r){const{landmarks:t,probability:n,anchor:r}=e,i=t.add(r).mul(s);a.landmarks=i,a.probability=n}return n&&(a=BK(a,i)),a})):Promise.all(o.map((async e=>{const t=zK(e,s);let a;if(r){const[n,r,i]=await Promise.all([e.landmarks,t,e.probability].map((async e=>e.array()))),o=e.anchor,[u,c]=s,l=n.map((e=>[(e[0]+o[0])*u,(e[1]+o[1])*c]));a={topLeft:r.slice(0,2),bottomRight:r.slice(2),landmarks:l,probability:i},(e=>{e.startEndTensor.dispose(),e.startPoint.dispose(),e.endPoint.dispose()})(e.box),e.landmarks.dispose(),e.probability.dispose()}else{const e=await t.array();a={topLeft:e.slice(0,2),bottomRight:e.slice(2)}}return t.dispose(),n&&(a=BK(a,i)),a})))}}const LK={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]};function jK(e){null!=e&&null!=e.startPoint&&(e.startEndTensor.dispose(),e.startPoint.dispose(),e.endPoint.dispose())}function UK(e,t,n){return{startEndTensor:e,startPoint:null!=t?t:(0,OA.slice)(e,[0,0],[-1,2]),endPoint:null!=n?n:(0,OA.slice)(e,[0,2],[-1,2])}}function qK(e){return(0,OA.tidy)((()=>{const t=(0,OA.sub)(e.endPoint,e.startPoint);return(0,OA.abs)(t)}))}function WK(e,t=1.5){return(0,OA.tidy)((()=>{const n=function(e){return(0,OA.tidy)((()=>{const t=(0,OA.div)((0,OA.sub)(e.endPoint,e.startPoint),2);return(0,OA.add)(e.startPoint,t)}))}(e),r=qK(e),i=(0,OA.mul)((0,OA.div)(r,2),t),a=(0,OA.sub)(n,i),o=(0,OA.add)(n,i);return UK((0,OA.concat2d)([a,o],1),a,o)}))}class VK{constructor(e,t,n,r,i,a){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=e,this.meshDetector=t,this.meshWidth=n,this.meshHeight=r,this.maxContinuousChecks=i,this.maxFaces=a}async predict(e){if(this.shouldUpdateRegionsOfInterest()){const t=!0,n=!1,{boxes:r,scaleFactor:i}=await this.boundingBoxDetector.getBoundingBoxes(e,t,n);if(0===r.length)return i.dispose(),this.clearAllRegionsOfInterest(),null;const a=r.map((e=>WK(function(e,t){const n=(0,OA.mul)(e.startPoint,t),r=(0,OA.mul)(e.endPoint,t);return UK((0,OA.concat2d)([n,r],1))}(e,i))));r.forEach(jK),this.updateRegionsOfInterest(a),this.runsWithoutFaceDetector=0}else this.runsWithoutFaceDetector++;return(0,OA.tidy)((()=>this.regionsOfInterest.map(((t,n)=>{const r=function(e,t,n){const r=t.shape[1],i=t.shape[2],a=e.startEndTensor;return(0,OA.tidy)((()=>{const e=(0,OA.concat2d)([a.slice([0,1],[-1,1]),a.slice([0,0],[-1,1]),a.slice([0,3],[-1,1]),a.slice([0,2],[-1,1])],0),o=(0,OA.div)(e.transpose(),[r,i,r,i]);return OA.image.cropAndResize(t,o,[0],n)}))}(t,e,[this.meshHeight,this.meshWidth]).div(255),[,i,a]=this.meshDetector.predict(r),o=(0,OA.reshape)(a,[-1,3]),s=(0,OA.div)(qK(t),[this.meshWidth,this.meshHeight]),u=(0,OA.mul)(o,s.concat((0,OA.tensor2d)([1],[1,1]),1)).add(t.startPoint.concat((0,OA.tensor2d)([0],[1,1]),1)),c=this.calculateLandmarksBoundingBox(u);return jK(this.regionsOfInterest[n]),this.regionsOfInterest[n]=c,{coords:o,scaledCoords:u,box:c,flag:i.squeeze()}}))))}updateRegionsOfInterest(e){for(let t=0;t<e.length;t++){const n=e[t],r=this.regionsOfInterest[t];let i=0;if(r&&r.startPoint){const[e,t,a,o]=n.startEndTensor.arraySync()[0],[s,u,c,l]=r.startEndTensor.arraySync()[0],f=Math.max(e,s),p=Math.max(t,u),h=(Math.min(a,c)-f)*(Math.min(o,l)-p);i=h/((a-e)*(o-t)+(c-s)*(l-t)-h)}i>.25?jK(n):(this.regionsOfInterest[t]=n,jK(r))}for(let t=e.length;t<this.regionsOfInterest.length;t++)jK(this.regionsOfInterest[t]);this.regionsOfInterest=this.regionsOfInterest.slice(0,e.length)}clearRegionOfInterest(e){null!=this.regionsOfInterest[e]&&(jK(this.regionsOfInterest[e]),this.regionsOfInterest=[...this.regionsOfInterest.slice(0,e),...this.regionsOfInterest.slice(e+1)])}clearAllRegionsOfInterest(){for(let e=0;e<this.regionsOfInterest.length;e++)jK(this.regionsOfInterest[e]);this.regionsOfInterest=[]}shouldUpdateRegionsOfInterest(){const e=this.regionsOfInterest.length,t=0===e;return 1===this.maxFaces||t?t:e!==this.maxFaces&&this.runsWithoutFaceDetector>=this.maxContinuousChecks}calculateLandmarksBoundingBox(e){const t=e.slice([0,0],[468,1]),n=e.slice([0,1],[468,1]);return WK(UK((0,OA.stack)([t.min(),n.min(),t.max(),n.max()]).expandDims(0)))}}const 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function HK(e,t,n){return async function({maxFaces:e=10,inputWidth:t=128,inputHeight:n=128,iouThreshold:r=.3,scoreThreshold:i=.75}={}){const a=await(0,TA.loadGraphModel)("https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1",{fromTFHub:!0});return new PK(a,t,n,e,r,i)}({maxFaces:e,iouThreshold:t,scoreThreshold:n})}async function GK(){return(0,TA.loadGraphModel)("https://tfhub.dev/mediapipe/tfjs-model/facemesh/1/default/1",{fromTFHub:!0})}function KK(e,t){if(e.mesh instanceof OA.Tensor){const[n,r,i,a]=(0,OA.tidy)((()=>{const n=(0,OA.tensor1d)([t-1,0,0]),r=(0,OA.tensor1d)([1,-1,1]);return(0,OA.tidy)((()=>[(0,OA.concat)([(0,OA.sub)(t-1,e.boundingBox.topLeft.slice(0,1)),e.boundingBox.topLeft.slice(1,1)]),(0,OA.concat)([(0,OA.sub)(t-1,e.boundingBox.bottomRight.slice(0,1)),e.boundingBox.bottomRight.slice(1,1)]),(0,OA.sub)(n,e.mesh).mul(r),(0,OA.sub)(n,e.scaledMesh).mul(r)]))}));return Object.assign({},e,{boundingBox:{topLeft:n,bottomRight:r},mesh:i,scaledMesh:a})}return Object.assign({},e,{boundingBox:{topLeft:[t-1-e.boundingBox.topLeft[0],e.boundingBox.topLeft[1]],bottomRight:[t-1-e.boundingBox.bottomRight[0],e.boundingBox.bottomRight[1]]},mesh:e.mesh.map((e=>{const n=e.slice(0);return n[0]=t-1-e[0],n})),scaledMesh:e.scaledMesh.map((e=>{const n=e.slice(0);return n[0]=t-1-e[0],n}))})}class XK{constructor(e,t,n,r,i){this.pipeline=new VK(e,t,192,192,n,i),this.detectionConfidence=r}static getAnnotations(){return LK}static getUVCoords(){return $K}async estimateFaces(e,t=!1,n=!1){const[,r]=function(e){return e instanceof OA.Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width]}(e),i=(0,OA.tidy)((()=>(e instanceof OA.Tensor||(e=OA.browser.fromPixels(e)),e.toFloat().expandDims(0)))),a=(0,OA.env)().get("WEBGL_PACK_DEPTHWISECONV");(0,OA.env)().set("WEBGL_PACK_DEPTHWISECONV",!0);const o=await this.pipeline.predict(i);return(0,OA.env)().set("WEBGL_PACK_DEPTHWISECONV",a),i.dispose(),null!=o&&o.length>0?Promise.all(o.map((async(e,i)=>{const{coords:a,scaledCoords:o,box:s,flag:u}=e;let c=[u];t||(c=c.concat([a,o,s.startPoint,s.endPoint]));const l=await Promise.all(c.map((async e=>e.array()))),f=l[0];if(u.dispose(),f<this.detectionConfidence&&this.pipeline.clearRegionOfInterest(i),t){const e={faceInViewConfidence:f,mesh:a,scaledMesh:o,boundingBox:{topLeft:s.startPoint.squeeze(),bottomRight:s.endPoint.squeeze()}};return n?KK(e,r):e}const[p,h,d,m]=l.slice(1);o.dispose(),a.dispose();let g={faceInViewConfidence:f,boundingBox:{topLeft:d,bottomRight:m},mesh:p,scaledMesh:h};n&&(g=KK(g,r));const v={};for(const e in LK)v[e]=LK[e].map((e=>g.scaledMesh[e]));return g.annotations=v,g}))):[]}}class YK extends vD.EventEmitter{constructor(e,t,n){super(),this.video=e,this.model=null,this.modelReady=!1,this.config=t,this.ready=kA(this.loadModel(),n)}async loadModel(){return this.model=await async function({maxContinuousChecks:e=5,detectionConfidence:t=.9,maxFaces:n=10,iouThreshold:r=.3,scoreThreshold:i=.75}={}){const[a,o]=await Promise.all([HK(n,r,i),GK()]);return new XK(a,o,e,t,n)}(this.config),this.modelReady=!0,this.video&&0===this.video.readyState&&await new Promise((e=>{this.video.onloadeddata=()=>{e()}})),this.predict(),this}async predict(e,t){const n=this.getInput(e),{flipHorizontal:r}=this.config,i=await this.model.estimateFaces(n,r);return this.emit("predict",i),this.video?m.nextFrame().then((()=>this.predict())):("function"==typeof t&&t(i),i)}getInput(e){let t;return t=e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof ImageData)?e.elt:"object"==typeof e&&e.canvas instanceof HTMLCanvasElement?e.canvas:this.video,t}}function JK(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function ZK(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function QK(e,t=1.5){const n=ZK(e),r=JK(e),i=[t*r[0]/2,t*r[1]/2];return{startPoint:[n[0]-i[0],n[1]-i[1]],endPoint:[n[0]+i[0],n[1]+i[1]],palmLandmarks:e.palmLandmarks}}function eX(e){const t=ZK(e),n=JK(e),r=Math.max(...n)/2;return{startPoint:[t[0]-r,t[1]-r],endPoint:[t[0]+r,t[1]+r],palmLandmarks:e.palmLandmarks}}function tX(e,t){const n=[e.endPoint[0]-e.startPoint[0],e.endPoint[1]-e.startPoint[1]],r=[n[0]*t[0],n[1]*t[1]];return{startPoint:[e.startPoint[0]+r[0],e.startPoint[1]+r[1]],endPoint:[e.endPoint[0]+r[0],e.endPoint[1]+r[1]],palmLandmarks:e.palmLandmarks}}class nX{constructor(e,t,n,r,i,a){this.model=e,this.width=t,this.height=n,this.iouThreshold=i,this.scoreThreshold=a,this.anchors=r.map((e=>[e.x_center,e.y_center])),this.anchorsTensor=(0,OA.tensor2d)(this.anchors),this.inputSizeTensor=(0,OA.tensor1d)([t,n]),this.doubleInputSizeTensor=(0,OA.tensor1d)([2*t,2*n])}normalizeBoxes(e){return(0,OA.tidy)((()=>{const t=(0,OA.slice)(e,[0,0],[-1,2]),n=(0,OA.slice)(e,[0,2],[-1,2]),r=(0,OA.add)((0,OA.div)(t,this.inputSizeTensor),this.anchorsTensor),i=(0,OA.div)(n,this.doubleInputSizeTensor),a=(0,OA.mul)((0,OA.sub)(r,i),this.inputSizeTensor),o=(0,OA.mul)((0,OA.add)(r,i),this.inputSizeTensor);return(0,OA.concat2d)([a,o],1)}))}normalizeLandmarks(e,t){return(0,OA.tidy)((()=>{const n=(0,OA.add)((0,OA.div)(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return(0,OA.mul)(n,this.inputSizeTensor)}))}getBoundingBoxes(e){return(0,OA.tidy)((()=>{const t=(0,OA.mul)((0,OA.sub)(e,.5),2),n=(0,OA.env)().get("WEBGL_PACK_DEPTHWISECONV");(0,OA.env)().set("WEBGL_PACK_DEPTHWISECONV",!0);const r=this.model.predict(t).squeeze();(0,OA.env)().set("WEBGL_PACK_DEPTHWISECONV",n);const i=(0,OA.sigmoid)((0,OA.slice)(r,[0,0],[-1,1])).squeeze(),a=(0,OA.slice)(r,[0,1],[-1,4]),o=this.normalizeBoxes(a),s=console.warn;console.warn=()=>{};const u=OA.image.nonMaxSuppression(o,i,1,this.iouThreshold,this.scoreThreshold).arraySync();if(console.warn=s,0===u.length)return null;const c=u[0],l=(0,OA.slice)(o,[c,0],[1,-1]),f=(0,OA.slice)(r,[c,5],[1,14]);return{boxes:l,palmLandmarks:this.normalizeLandmarks(f,c).reshape([-1,2])}}))}estimateHandBounds(e){const t=e.shape[1],n=e.shape[2],r=(0,OA.tidy)((()=>e.resizeBilinear([this.width,this.height]).div(255))),i=this.getBoundingBoxes(r);if(null===i)return r.dispose(),null;const a=i.boxes.arraySync(),o=a[0].slice(0,2),s=a[0].slice(2,4),u=i.palmLandmarks.arraySync();return r.dispose(),i.boxes.dispose(),i.palmLandmarks.dispose(),function(e,t){return{startPoint:[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],endPoint:[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],palmLandmarks:e.palmLandmarks.map((e=>[e[0]*t[0],e[1]*t[1]]))}}({startPoint:o,endPoint:s,palmLandmarks:u},[n/this.width,t/this.height])}}const rX={thumb:[1,2,3,4],indexFinger:[5,6,7,8],middleFinger:[9,10,11,12],ringFinger:[13,14,15,16],pinky:[17,18,19,20],palmBase:[0]};const iX=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function aX(e,t){let n=0;for(let r=0;r<e.length;r++)n+=e[r]*t[r];return n}function oX(e,t){const n=[];for(let r=0;r<e.length;r++)n.push(e[r][t]);return n}function sX(e,t){const n=[],r=e.length;for(let i=0;i<r;i++){n.push([]);for(let a=0;a<r;a++)n[i].push(aX(e[i],oX(t,a)))}return n}function uX(e,t){const n=Math.cos(e),r=Math.sin(e),i=[[n,-r,0],[r,n,0],[0,0,1]];return sX(sX(iX(t[0],t[1]),i),iX(-t[0],-t[1]))}function cX(e,t){return[aX(e,t[0]),aX(e,t[1])]}const lX=[0,-.4],fX=[0,-.1],pX=[0,5,9,13,17,1,2];class hX{constructor(e,t,n,r,i,a){this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.boundingBoxDetector=e,this.meshDetector=t,this.maxContinuousChecks=i,this.detectionConfidence=a,this.meshWidth=n,this.meshHeight=r,this.maxHandsNumber=1}getBoxForPalmLandmarks(e,t){const n=e.map((e=>cX([...e,1],t)));return QK(eX(tX(this.calculateLandmarksBoundingBox(n),lX)),3)}getBoxForHandLandmarks(e){const t=QK(eX(tX(this.calculateLandmarksBoundingBox(e),fX)),1.65),n=[];for(let t=0;t<pX.length;t++)n.push(e[pX[t]].slice(0,2));return t.palmLandmarks=n,t}transformRawCoords(e,t,n,r){const i=JK(t),a=[i[0]/this.meshWidth,i[1]/this.meshHeight],o=e.map((e=>[a[0]*(e[0]-this.meshWidth/2),a[1]*(e[1]-this.meshHeight/2),e[2]])),s=uX(n,[0,0]),u=o.map((e=>[...cX(e,s),e[2]])),c=function(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],r=[-aX(t[0],n),-aX(t[1],n)];return[t[0].concat(r[0]),t[1].concat(r[1]),[0,0,1]]}(r),l=[...ZK(t),1],f=[aX(l,c[0]),aX(l,c[1])];return u.map((e=>[e[0]+f[0],e[1]+f[1],e[2]]))}async estimateHand(e){const t=this.shouldUpdateRegionsOfInterest();if(!0===t){const t=this.boundingBoxDetector.estimateHandBounds(e);if(null===t)return e.dispose(),this.regionsOfInterest=[],null;this.updateRegionsOfInterest(t,!0),this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const n=this.regionsOfInterest[0],r=function(e,t){return function(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]))}(n.palmLandmarks[0],n.palmLandmarks[2]),i=ZK(n),a=[i[0]/e.shape[2],i[1]/e.shape[1]];let o;const s=(0,OA.getBackend)();if("webgl"===s)o=function(e,t,n,r){const i=e.shape,a=i[1],o=i[2],s=Math.sin(t),u=Math.cos(t),c=Math.floor(o*("number"==typeof r?r:r[0])),l=Math.floor(a*("number"==typeof r?r:r[1]));let f="";const p={variableNames:["Image"],outputShape:i,userCode:`\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int x = coords[2];\n        int y = coords[1];\n        int coordX = int(float(x - ${c}) * ${u} -\n          float(y - ${l}) * ${s});\n        int coordY = int(float(x - ${c}) * ${s} +\n          float(y - ${l}) * ${u});\n        coordX = int(coordX + ${c});\n        coordY = int(coordY + ${l});\n\n        ${f=`float outputValue = ${(0).toFixed(2)};`}\n\n        if(coordX > 0 && coordX < ${o} && coordY > 0 && coordY < ${a}) {\n          outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n        }\n\n      setOutput(outputValue);\n    }`};return(0,OA.backend)().compileAndRun(p,[e])}(e,r,0,a);else{if("cpu"!==s)throw new Error(`Handpose is not yet supported by the ${s} backend - rotation kernel is not defined.`);o=function(e,t,n,r){const i=(0,OA.backend)(),a=(0,OA.buffer)(e.shape,e.dtype),[o,s,u,c]=e.shape,l=u*("number"==typeof r?r:r[0]),f=s*("number"==typeof r?r:r[1]),p=Math.sin(-t),h=Math.cos(-t),d=i.readSync(e.dataId);for(let e=0;e<o;e++)for(let t=0;t<s;t++)for(let n=0;n<u;n++)for(let r=0;r<c;r++){const i=[o,t,n,r],m=i[2],g=i[1];let v=(m-l)*h-(g-f)*p,y=(m-l)*p+(g-f)*h;v=Math.round(v+l),y=Math.round(y+f);let b=0;v>=0&&v<u&&y>=0&&y<s&&(b=d[e*u*s*c+y*(u*c)+v*c+r]);const x=e*u*s*c+t*(u*c)+n*c+r;a.values[x]=b}return a.toTensor()}(e,r,0,a)}const u=uX(-r,i);let c;const l=function(e,t,n){const r=t.shape[1],i=t.shape[2],a=[[e.startPoint[1]/r,e.startPoint[0]/i,e.endPoint[1]/r,e.endPoint[0]/i]];return OA.image.cropAndResize(t,a,[0],n)}(c=!0===t?this.getBoxForPalmLandmarks(n.palmLandmarks,u):n,o,[this.meshWidth,this.meshHeight]),f=l.div(255);l.dispose(),o.dispose();const p=(0,OA.env)().get("WEBGL_PACK_DEPTHWISECONV");(0,OA.env)().set("WEBGL_PACK_DEPTHWISECONV",!0);const[h,d]=this.meshDetector.predict(f);(0,OA.env)().set("WEBGL_PACK_DEPTHWISECONV",p),f.dispose();const m=h.dataSync()[0];if(h.dispose(),m<this.detectionConfidence)return d.dispose(),this.regionsOfInterest=[],null;const g=(0,OA.reshape)(d,[-1,3]),v=g.arraySync();d.dispose(),g.dispose();const y=this.transformRawCoords(v,c,r,u),b=this.getBoxForHandLandmarks(y);return this.updateRegionsOfInterest(b,!1),{landmarks:y,handInViewConfidence:m,boundingBox:{topLeft:b.startPoint,bottomRight:b.endPoint}}}calculateLandmarksBoundingBox(e){const t=e.map((e=>e[0])),n=e.map((e=>e[1]));return{startPoint:[Math.min(...t),Math.min(...n)],endPoint:[Math.max(...t),Math.max(...n)]}}updateRegionsOfInterest(e,t){if(t)this.regionsOfInterest=[e];else{const t=this.regionsOfInterest[0];let n=0;if(null!=t&&null!=t.startPoint){const[r,i]=e.startPoint,[a,o]=e.endPoint,[s,u]=t.startPoint,[c,l]=t.endPoint,f=Math.max(r,s),p=Math.max(i,u),h=(Math.min(a,c)-f)*(Math.min(o,l)-p);n=h/((a-r)*(o-i)+(c-s)*(l-i)-h)}this.regionsOfInterest[0]=n>.8?t:e}}shouldUpdateRegionsOfInterest(){return this.regionsOfInterest.length!==this.maxHandsNumber||this.runsWithoutHandDetector>=this.maxContinuousChecks}}async function dX(){return(0,TA.loadGraphModel)("https://tfhub.dev/mediapipe/tfjs-model/handdetector/1/default/1",{fromTFHub:!0})}async function mX(){return(0,TA.loadGraphModel)("https://tfhub.dev/mediapipe/tfjs-model/handskeleton/1/default/1",{fromTFHub:!0})}async function gX(){return OA.util.fetch("https://tfhub.dev/mediapipe/tfjs-model/handskeleton/1/default/1/anchors.json?tfjs-format=file").then((e=>e.json()))}class vX{constructor(e){this.pipeline=e}static getAnnotations(){return rX}async estimateHands(e,t=!1){const[,n]=function(e){return e instanceof OA.Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width]}(e),r=(0,OA.tidy)((()=>(e instanceof OA.Tensor||(e=OA.browser.fromPixels(e)),e.toFloat().expandDims(0)))),i=await this.pipeline.estimateHand(r);if(r.dispose(),null===i)return[];let a=i;!0===t&&(a=function(e,t){const{handInViewConfidence:n,landmarks:r,boundingBox:i}=e;return{handInViewConfidence:n,landmarks:r.map((e=>[t-1-e[0],e[1],e[2]])),boundingBox:{topLeft:[t-1-i.topLeft[0],i.topLeft[1]],bottomRight:[t-1-i.bottomRight[0],i.bottomRight[1]]}}}(i,n));const o={};for(const e of Object.keys(rX))o[e]=rX[e].map((e=>a.landmarks[e]));return[{handInViewConfidence:a.handInViewConfidence,boundingBox:a.boundingBox,landmarks:a.landmarks,annotations:o}]}}class yX extends vD.EventEmitter{constructor(e,t,n){super(),this.video=e,this.model=null,this.modelReady=!1,this.config=t,this.ready=kA(this.loadModel(),n)}async loadModel(){return this.model=await async function({maxContinuousChecks:e=1/0,detectionConfidence:t=.8,iouThreshold:n=.3,scoreThreshold:r=.5}={}){const[i,a,o]=await Promise.all([gX(),dX(),mX()]),s=new nX(a,256,256,i,n,r),u=new hX(s,o,256,256,e,t);return new vX(u)}(this.config),this.modelReady=!0,this.video&&0===this.video.readyState&&await new Promise((e=>{this.video.onloadeddata=()=>{e()}})),this.predict(),this}async predict(e,t){const n=this.getInput(e);if(!n)return[];const{flipHorizontal:r}=this.config,i=await this.model.estimateHands(n,r);return this.emit("predict",i),this.video?m.nextFrame().then((()=>this.predict())):("function"==typeof t&&t(i),i)}getInput(e){let t;return t=e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof ImageData)?e.elt:"object"==typeof e&&e.canvas instanceof HTMLCanvasElement?e.canvas:this.video,t}}const bX=()=>{console.log("\n🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈\n🌟 Thank you for using ml5.js v0.8.0 🌟\n\nPlease read our community statement to ensure \nthat the use of this software reflects the values \nof the ml5.js community:\n↳ https://ml5js.org/about\n\nReporting: \n↳ https://github.com/ml5js/ml5-library/issues\n↳ Email: info@ml5js.org \n🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈")},xX=async()=>{const e=new Image;return e.crossOrigin="",e.src="https://cdn.jsdelivr.net/gh/ml5js/ml5-library@main/assets/bird.jpg",await new Promise((t=>{e.onload=t})),e},wX=async()=>{const e=new Uint8ClampedArray(2e4);for(let t=0;t<e.length;t+=4)e[t+0]=0,e[t+1]=190,e[t+2]=0,e[t+3]=255;return new ImageData(e,200)},EX={charRNN:(e="./",t)=>new A_(e,t),CVAE:(e,t)=>new I_(e,t),cartoon:(e,t)=>{const n="object"==typeof e?e:{},r="function"==typeof e?e:t;return"string"==typeof e&&(n.modelUrl=e),new wK(n,r)},DCGAN:(e,t,n)=>{let r,i={};if("string"!=typeof e)throw new Error('Please specify a path to a "manifest.json" file: \n\n         "models/face/manifest.json" \n\n\n         This "manifest.json" file should include:\n\n         {\n            "description": "DCGAN, human faces, 64x64",\n            "model": "https://raw.githubusercontent.com/viztopia/ml5dcgan/master/model/model.json", // "https://github.com/viztopia/ml5dcgan/blob/master/model/model.json",\n            "modelSize": 64,\n            "modelLatentDim": 128 \n         }\n         ');"function"==typeof t?r=t:"object"==typeof t&&(i=t,r=n);const a=new F_(e,i,r);return r?a:a.ready},featureExtractor:(e,t,n)=>{let r;if("string"!=typeof e)throw new Error('Please specify a model to use. E.g: "MobileNet"');r=e.toLowerCase();let i={},a=n;if("object"==typeof t?i=t:"function"==typeof t&&(a=t),"mobilenet"===r)return new class{constructor(e,t){this.mobilenet=null,this.topKPredictions=10,this.hasAnyTrainedClass=!1,this.customModel=null,this.jointModel=null,this.config={epochs:e.epochs||20,version:e.version||1,hiddenUnits:e.hiddenUnits||100,numLabels:e.numLabels||2,learningRate:e.learningRate||1e-4,batchSize:e.batchSize||.4,layer:e.layer||"conv_pw_13_relu",alpha:e.alpha||.25},this.model=null,this.url=tD[this.config.version][this.config.alpha],this.normalizationOffset=m.scalar(127.5),this.mobilenetURL=e.mobilenetURL||`https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v${this.config.version}_${this.config.alpha}_224/model.json`,this.graphModelURL=e.graphModelURL||this.url,this.isPredicting=!1,this.mapStringToIndex=[],this.usageType=null,this.ready=kA(this.loadModel(),t)}async loadModel(){this.mobilenet=await m.loadLayersModel(this.mobilenetURL),this.graphModelURL.includes("https://tfhub.dev/")?this.model=await m.loadGraphModel(this.graphModelURL,{fromTFHub:!0}):this.model=await m.loadGraphModel(this.graphModelURL,{fromTFHub:!1});const e=this.mobilenet.getLayer(this.config.layer);return this.mobilenetFeatures=await m.model({inputs:this.mobilenet.inputs,outputs:e.output}),this.video&&await this.mobilenetFeatures.predict(nk(this.video,eD)),this}classification(e,t=null,n){let r;return this.usageType="classifier","object"==typeof t?Object.assign(this.config,t):"function"==typeof t&&(r=t),"function"==typeof n&&(r=n),e&&kA(this.loadVideo(e),r),this}regression(e,t){return this.usageType="regressor",e&&kA(this.loadVideo(e),t),this}async loadVideo(e){let t=null;if(e instanceof HTMLVideoElement?t=e:"object"==typeof e&&e.elt instanceof HTMLVideoElement&&(t=e.elt),t){const e=new Zk(t,Qk);this.video=await e.loadVideo()}return this}async addImage(e,t,n){let r,i,a=n;return e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e.elt instanceof ImageData?r=e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData)?r=e.elt:"string"!=typeof e&&"number"!=typeof e||(r=this.video,i=e),"string"==typeof t||"number"==typeof t?i=t:"function"==typeof t&&(a=t),"string"==typeof i&&(i=this.mapStringToIndex.includes(i)?this.mapStringToIndex.indexOf(i):this.mapStringToIndex.push(i)-1),kA(this.addImageInternal(r,i),a)}async addImageInternal(e,t){return await this.ready,m.tidy((()=>{const n=nk(e,eD),r=this.mobilenetFeatures.predict(n);let i;if("classifier"===this.usageType?i=m.tidy((()=>m.oneHot(m.tensor1d([t],"int32"),this.config.numLabels))):"regressor"===this.usageType&&(i=m.tensor2d([[t]])),null==this.xs)this.xs=m.keep(r),this.ys=m.keep(i),this.hasAnyTrainedClass=!0;else{const e=this.xs;this.xs=m.keep(e.concat(r,0));const t=this.ys;this.ys=m.keep(t.concat(i,0)),e.dispose(),t.dispose(),i.dispose()}})),this}async train(e){if(!this.hasAnyTrainedClass)throw new Error("Add some examples before training!");this.isPredicting=!1,"classifier"===this.usageType?(this.loss="categoricalCrossentropy",this.customModel=m.sequential({layers:[m.layers.flatten({inputShape:[7,7,256]}),m.layers.dense({units:this.config.hiddenUnits,activation:"relu",kernelInitializer:"varianceScaling",useBias:!0}),m.layers.dense({units:this.config.numLabels,kernelInitializer:"varianceScaling",useBias:!1,activation:"softmax"})]})):"regressor"===this.usageType&&(this.loss="meanSquaredError",this.customModel=m.sequential({layers:[m.layers.flatten({inputShape:[7,7,256]}),m.layers.dense({units:this.config.hiddenUnits,activation:"relu",kernelInitializer:"varianceScaling",useBias:!0}),m.layers.dense({units:1,useBias:!1,kernelInitializer:"Zeros",activation:"linear"})]})),this.jointModel=m.sequential(),this.jointModel.add(this.mobilenetFeatures),this.jointModel.add(this.customModel);const t=m.train.adam(this.config.learningRate);this.customModel.compile({optimizer:t,loss:this.loss});const n=Math.floor(this.xs.shape[0]*this.config.batchSize);if(!(n>0))throw new Error("Batch size is 0 or NaN. Please choose a non-zero fraction.");return this.customModel.fit(this.xs,this.ys,{batchSize:n,epochs:this.config.epochs,callbacks:{onBatchEnd:async(t,n)=>{e(n.loss.toFixed(5)),await m.nextFrame()},onTrainEnd:()=>e(null)}})}async classify(e,t){let n,r;return e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?n=e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData)?n=e.elt:"function"==typeof e&&(n=this.video,r=e),"function"==typeof t&&(r=t),kA(this.classifyInternal(n),r)}async classifyInternal(e){if("classifier"!==this.usageType)throw new Error("Mobilenet Feature Extraction has not been set to be a classifier.");await m.nextFrame(),this.isPredicting=!0;const t=m.tidy((()=>{const t=nk(e,eD),n=this.jointModel.predict(t);return Array.from(n.as1D().dataSync())})),n=await t.map(((e,t)=>({label:this.mapStringToIndex.length>0&&this.mapStringToIndex[t]?this.mapStringToIndex[t]:t,confidence:e}))).sort(((e,t)=>t.confidence-e.confidence));return n}async predict(e,t){let n,r;return e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData?n=e:"object"==typeof e&&(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData)?n=e.elt:"function"==typeof e&&(n=this.video,r=e),"function"==typeof t&&(r=t),kA(this.predictInternal(n),r)}async predictInternal(e){if("regressor"!==this.usageType)throw new Error("Mobilenet Feature Extraction has not been set to be a regressor.");await m.nextFrame(),this.isPredicting=!0;const t=m.tidy((()=>{const t=nk(e,eD);return this.jointModel.predict(t).as1D()})),n=await t.data();return t.dispose(),{value:n[0]}}async load(e=null,t){if("string"!=typeof e){let t=null,n=null;Array.from(e).forEach((e=>{if(e.name.includes(".json")){t=e;const n=new FileReader;n.onload=e=>{JSON.parse(e.target.result).ml5Specs&&(this.mapStringToIndex=JSON.parse(e.target.result).ml5Specs.mapStringToIndex)},n.readAsText(e)}else e.name.includes(".bin")&&(n=e)})),this.jointModel=await m.loadLayersModel(m.io.browserFiles([t,n]))}else{const n=(await MA().get(e)).data;n.ml5Specs&&(this.mapStringToIndex=n.ml5Specs.mapStringToIndex),this.jointModel=await m.loadLayersModel(e),t&&t()}return this.jointModel}async save(e,t){if(!this.jointModel)throw new Error("No model found.");this.jointModel.save(m.io.withSaveHandler((async n=>{let r="model";t&&(r=t),this.weightsManifest={modelTopology:n.modelTopology,weightsManifest:[{paths:[`./${r}.weights.bin`],weights:n.weightSpecs}],ml5Specs:{mapStringToIndex:this.mapStringToIndex}},await Yk(n.weightData,`${r}.weights.bin`,"application/octet-stream"),await Yk(JSON.stringify(this.weightsManifest),`${r}.json`,"text/plain"),e&&e()})))}mobilenetInfer(e,t=!1){let n=e;return n instanceof m.Tensor||n instanceof ImageData||n instanceof HTMLImageElement||n instanceof HTMLCanvasElement||n instanceof HTMLVideoElement?m.tidy((()=>{n instanceof m.Tensor||(n=m.browser.fromPixels(n));const e=n.toFloat().sub(this.normalizationOffset).div(this.normalizationOffset);let r=e;if(n.shape[0]!==Qk||n.shape[1]!==Qk){const t=!0;r=m.image.resizeBilinear(e,eD,t)}const i=r.reshape([-1,Qk,Qk,3]);let a;if(t){const e=nD[this.config.version];a=this.model.execute(i,e).squeeze([1,2])}else a=this.model.predict(i).slice([0,1],[-1,1e3]);return a})):null}infer(e,t){let n,r;if(e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof HTMLCanvasElement||e instanceof ImageData)n=e;else{if("object"!=typeof e||!(e.elt instanceof HTMLImageElement||e.elt instanceof HTMLVideoElement||e.elt instanceof HTMLCanvasElement||e.elt instanceof ImageData))throw new Error("No input image found.");n=e.elt}return r=t&&"string"==typeof t?t:"conv_preds",this.mobilenetInfer(n,r)}}(i,a);throw new Error(`${r} is not a valid model.`)},imageClassifier:(e,t,n,r)=>{let i,a={},o=r,s=e;if("string"!=typeof s)throw new Error('Please specify a model to use. E.g: "MobileNet"');-1===s.indexOf("http")&&(s=e.toLowerCase()),t instanceof HTMLVideoElement?i=t:"object"==typeof t&&t.elt instanceof HTMLVideoElement?i=t.elt:"object"==typeof t?a=t:"function"==typeof t&&(o=t),"object"==typeof n?a=n:"function"==typeof n&&(o=n);const u=new ck(s,i,a,o);return o?u:u.ready},kmeans:(e,t,n)=>new bK(e,t,n),soundClassifier:(e,t,n)=>{let r={},i=n,a=e;if("string"!=typeof a)throw new Error('Please specify a model to use. 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We'll consider reenabling the word2vec function along with changes to address these issues in a future release of ml5.js. You can find further updates about this topic on our Twitter account (https://twitter.com/ml5js/status/1445762321444315147) and GitHub (https://github.com/ml5js/ml5-library/issues/1238).")},YOLO:lD,CocoSsd:mD,objectDetector:(e,t,n,r)=>{let i,a={},o=r,s=e;if("string"!=typeof s)throw new Error('Please specify a model to use. 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HTMLVideoElement?r=e.elt:"object"==typeof e?i=e:"function"==typeof e&&(a=e),"object"==typeof t?(i=t,console.log(i)):"function"==typeof t&&(a=t);const o=new yK(r,i,a);return a?o:o.ready},universalSentenceEncoder:(e,t)=>new IK("object"==typeof e?e:{},"function"==typeof e?e:t),facemesh:(e,t,n)=>{let r,i={},a=n;e instanceof HTMLVideoElement?r=e:"object"==typeof e&&e.elt instanceof HTMLVideoElement?r=e.elt:"object"==typeof e?i=e:"function"==typeof e&&(a=e),"object"==typeof t?i=t:"function"==typeof t&&(a=t);const o=new YK(r,i,a);return a?o:o.ready},handpose:(e,t,n)=>{let r,i={},a=n;e instanceof HTMLVideoElement?r=e:"object"==typeof e&&e.elt instanceof HTMLVideoElement?r=e.elt:"object"==typeof e?i=e:"function"==typeof e&&(a=e),"object"==typeof t?i=t:"function"==typeof t&&(a=t);const o=new yX(r,i,a);return a?o:o.ready}};bX();const CX=Object.assign({p5Utils:JA},function(e){if("undefined"==typeof window)return e;if(void 0===window.p5)return e;if(void 0===window.p5.prototype)return e;if(void 0===window.p5.prototype.registerPreloadMethod)return e;const t=e;return Object.keys(e).forEach((n=>{const r=e[n];t[n]=function(...t){let n=null,i=t.length;return"function"==typeof t[i-1]&&(n=t[i-1],i-=1),r.apply(e,[...t.slice(0,i),function(){const e="_decrementPreload";try{n&&n()}catch(e){console.error(e)}return window[e]?window[e]():null}])},window.p5.prototype.registerPreloadMethod(`${n}`,e)})),e}(EX),{KNNClassifier:()=>new Jk,communityStatement:bX,...u,tf:m,tfvis:AA,version:R_,neuralNetwork:(e,t,n)=>{let r,i;return e instanceof Object?(r=e,i=t):(r={inputs:e,outputs:t},i=n),new sM(r,i)},testingUtils:d});class SX{constructor(e){this.buff=e,this.turtle={},this.home()}home(){this.turtle.x=this.buff.width/2,this.turtle.y=this.buff.height/2,this.turtle.angle=0,this.turtle.pen=!0,this.turtle.pencolor="Black",this.turtle.penwidth=1}pencolor(e){this.turtle.pencolor=e}pensize(e){this.turtle.penwidth=e}pendown(){this.turtle.pen=!0}penup(){this.turtle.pen=!1}setposition(e,t){this.turtle.x=e,this.turtle.y=t}position(){return[this.turtle.x,this.turtle.y]}left(e){this.turtle.angle-=e}right(e){this.turtle.angle+=e}setheading(e){this.turtle.angle=e}heading(){return this.turtle.angle}forward(e){var t=this._angleMode;this.buff.angleMode(this.buff.DEGREES);var n=this.turtle.x+e*this.buff.cos(this.turtle.angle-90),r=this.turtle.y+e*this.buff.sin(this.turtle.angle-90);this.buff.angleMode(t),this.turtle.pen&&(this.buff.push(),this.buff.strokeWeight(this.turtle.penwidth),this.buff.stroke(this.turtle.pencolor),this.buff.line(this.turtle.x,this.turtle.y,n,r),this.buff.pop()),this.turtle.x=n,this.turtle.y=r}back(e){this.forward(-e)}circle(e){this.turtle.pen&&(this.buff.push(),this.buff.strokeWeight(this.turtle.penwidth),this.buff.stroke(this.turtle.pencolor),this.buff.circle(this.turtle.x,this.turtle.y,e),this.buff.pop())}}var NX=p5.prototype.circle;p5.prototype.circle=function(){NX&&(1!==arguments.length?NX.call(this,...arguments):this.getDefaultTurtle().circle(arguments[0]))},p5.prototype.createTurtle=function(){return new SX(this)},p5.prototype.getDefaultTurtle=function(){return this.defaultTurtle||(this.defaultTurtle=this.createTurtle()),this.defaultTurtle},p5.prototype.home=function(){this.getDefaultTurtle().home()},p5.prototype.pencolor=function(e){this.getDefaultTurtle().pencolor(e)},p5.prototype.pensize=function(e){this.getDefaultTurtle().pensize(e)},p5.prototype.pendown=function(){this.getDefaultTurtle().pendown()},p5.prototype.penup=function(){this.getDefaultTurtle().penup()},p5.prototype.setposition=function(e,t){this.getDefaultTurtle().setposition(e,t)},p5.prototype.position=function(){return this.getDefaultTurtle().position()},p5.prototype.left=function(e){this.getDefaultTurtle().left(e)},p5.prototype.right=function(e){this.getDefaultTurtle().right(e)},p5.prototype.setheading=function(e){this.getDefaultTurtle().setheading(e)},p5.prototype.heading=function(){return this.getDefaultTurtle().heading()},p5.prototype.forward=function(e){this.getDefaultTurtle().forward(e)},p5.prototype.back=function(e){this.getDefaultTurtle().back(e)};var AX=ix,kX=lx,DX=ax,_X=rx,MX=cx;const TX=p5;var OX=function(){function e(t){if(this.isComplex=!1,"number"==typeof t)this.tensor=m.scalar(t);else if(t instanceof Array)this.tensor=m.tensor(t);else if(t instanceof TX.Vector){var n=t.array();this.tensor=m.tensor(n)}else if(t instanceof e)this.tensor=t.tensor;else{if(!(t instanceof m.Tensor))throw new Error("Tensors must be created from Numbers, Arrays, or p5.Vectors.");this.tensor=t}this.shape=this.tensor.shape}return e.prototype.toString=function(){return this.tensor.toString()},e.prototype.print=function(){this.tensor.print()},e.prototype.array=function(){return function(e,t,n,r){return new(n||(n=Promise))((function(i,a){function o(e){try{u(r.next(e))}catch(e){a(e)}}function s(e){try{u(r.throw(e))}catch(e){a(e)}}function u(e){var t;e.done?i(e.value):(t=e.value,t instanceof n?t:new n((function(e){e(t)}))).then(o,s)}u((r=r.apply(e,t||[])).next())}))}(this,void 0,void 0,(function(){return function(e,t){var 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u=this._ids[s],c=e[2*u],l=e[2*u+1];if(s>0&&Math.abs(c-a)<=Yk&&Math.abs(l-o)<=Yk)continue;if(a=c,o=l,u===p||u===h||u===d)continue;let f=0;for(let e=0,t=this._hashKey(c,l);e<this._hashSize&&(f=i[(t+e)%this._hashSize],-1===f||f===n[f]);e++);f=t[f];let m,g=f;for(;m=n[g],!tD(c,l,e[2*g],e[2*g+1],e[2*m],e[2*m+1]);)if(g=m,g===f){g=-1;break}if(-1===g)continue;let v=this._addTriangle(g,u,n[g],-1,-1,r[g]);r[u]=this._legalize(v+2),r[g]=v,S++;let y=n[g];for(;m=n[y],tD(c,l,e[2*y],e[2*y+1],e[2*m],e[2*m+1]);)v=this._addTriangle(y,u,m,r[u],-1,r[y]),r[u]=this._legalize(v+2),n[y]=y,S--,y=m;if(g===f)for(;m=t[g],tD(c,l,e[2*m],e[2*m+1],e[2*g],e[2*g+1]);)v=this._addTriangle(m,u,g,-1,r[g],r[m]),this._legalize(v+2),r[m]=v,n[g]=g,S--,g=m;this._hullStart=t[u]=g,n[g]=t[y]=u,n[u]=y,i[this._hashKey(c,l)]=u,i[this._hashKey(e[2*g],e[2*g+1])]=g}this.hull=new Uint32Array(S);for(let e=0,t=this._hullStart;e<S;e++)this.hull[e]=t,t=n[t];this.triangles=this._triangles.subarray(0,this.trianglesLen),this.halfedges=this._halfedges.subarray(0,this.trianglesLen)}_hashKey(e,t){return Math.floor(function(e,t){const n=e/(Math.abs(e)+Math.abs(t));return(t>0?3-n:1+n)/4}(e-this._cx,t-this._cy)*this._hashSize)%this._hashSize}_legalize(e){const{_triangles:t,_halfedges:n,coords:r}=this;let i=0,a=0;for(;;){const o=n[e],s=e-e%3;if(a=s+(e+2)%3,-1===o){if(0===i)break;e=Jk[--i];continue}const u=o-o%3,c=s+(e+1)%3,l=u+(o+2)%3,f=t[a],p=t[e],h=t[c],d=t[l];if(nD(r[2*f],r[2*f+1],r[2*p],r[2*p+1],r[2*h],r[2*h+1],r[2*d],r[2*d+1])){t[e]=d,t[o]=f;const r=n[l];if(-1===r){let t=this._hullStart;do{if(this._hullTri[t]===l){this._hullTri[t]=e;break}t=this._hullPrev[t]}while(t!==this._hullStart)}this._link(e,r),this._link(o,n[a]),this._link(a,l);const s=u+(o+1)%3;i<Jk.length&&(Jk[i++]=s)}else{if(0===i)break;e=Jk[--i]}}return 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this.delaunay.update(),this._init(),this}_init(){const{delaunay:{points:e,hull:t,triangles:n},vectors:r}=this,i=this.circumcenters=this._circumcenters.subarray(0,n.length/3*2);for(let t,r,a=0,o=0,s=n.length;a<s;a+=3,o+=2){const s=2*n[a],u=2*n[a+1],c=2*n[a+2],l=e[s],f=e[s+1],p=e[u],h=e[u+1],d=e[c],m=e[c+1],g=p-l,v=h-f,y=d-l,b=m-f,x=g*g+v*v,w=y*y+b*b,E=2*(g*b-v*y);if(E)if(Math.abs(E)<1e-8)t=(l+d)/2,r=(f+m)/2;else{const e=1/E;t=l+(b*x-v*w)*e,r=f+(g*w-y*x)*e}else t=(l+d)/2-1e8*b,r=(f+m)/2+1e8*y;i[o]=t,i[o+1]=r}let a,o,s,u=t[t.length-1],c=4*u,l=e[2*u],f=e[2*u+1];r.fill(0);for(let n=0;n<t.length;++n)u=t[n],a=c,o=l,s=f,c=4*u,l=e[2*u],f=e[2*u+1],r[a+2]=r[c]=s-f,r[a+3]=r[c+1]=l-o}render(e){const t=null==e?e=new cD:void 0,{delaunay:{halfedges:n,inedges:r,hull:i},circumcenters:a,vectors:o}=this;if(i.length<=1)return null;for(let t=0,r=n.length;t<r;++t){const r=n[t];if(r<t)continue;const i=2*Math.floor(t/3),o=2*Math.floor(r/3),s=a[i],u=a[i+1],c=a[o],l=a[o+1];this._renderSegment(s,u,c,l,e)}let s,u=i[i.length-1];for(let t=0;t<i.length;++t){s=u,u=i[t];const n=2*Math.floor(r[u]/3),c=a[n],l=a[n+1],f=4*s,p=this._project(c,l,o[f+2],o[f+3]);p&&this._renderSegment(c,l,p[0],p[1],e)}return t&&t.value()}renderBounds(e){const t=null==e?e=new cD:void 0;return e.rect(this.xmin,this.ymin,this.xmax-this.xmin,this.ymax-this.ymin),t&&t.value()}renderCell(e,t){const n=null==t?t=new cD:void 0,r=this._clip(e);if(null===r||!r.length)return;t.moveTo(r[0],r[1]);let i=r.length;for(;r[0]===r[i-2]&&r[1]===r[i-1]&&i>1;)i-=2;for(let e=2;e<i;e+=2)r[e]===r[e-2]&&r[e+1]===r[e-1]||t.lineTo(r[e],r[e+1]);return t.closePath(),n&&n.value()}*cellPolygons(){const{delaunay:{points:e}}=this;for(let t=0,n=e.length/2;t<n;++t){const e=this.cellPolygon(t);e&&(e.index=t,yield e)}}cellPolygon(e){const t=new lD;return this.renderCell(e,t),t.value()}_renderSegment(e,t,n,r,i){let a;const o=this._regioncode(e,t),s=this._regioncode(n,r);0===o&&0===s?(i.moveTo(e,t),i.lineTo(n,r)):(a=this._clipSegment(e,t,n,r,o,s))&&(i.moveTo(a[0],a[1]),i.lineTo(a[2],a[3]))}contains(e,t,n){return(t=+t)==t&&(n=+n)==n&&this.delaunay._step(e,t,n)===e}*neighbors(e){const t=this._clip(e);if(t)for(const n of this.delaunay.neighbors(e)){const e=this._clip(n);if(e)e:for(let r=0,i=t.length;r<i;r+=2)for(let a=0,o=e.length;a<o;a+=2)if(t[r]==e[a]&&t[r+1]==e[a+1]&&t[(r+2)%i]==e[(a+o-2)%o]&&t[(r+3)%i]==e[(a+o-1)%o]){yield n;break e}}}_cell(e){const{circumcenters:t,delaunay:{inedges:n,halfedges:r,triangles:i}}=this,a=n[e];if(-1===a)return null;const o=[];let s=a;do{const n=Math.floor(s/3);if(o.push(t[2*n],t[2*n+1]),s=s%3==2?s-2:s+1,i[s]!==e)break;s=r[s]}while(s!==a&&-1!==s);return o}_clip(e){if(0===e&&1===this.delaunay.hull.length)return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];const t=this._cell(e);if(null===t)return null;const{vectors:n}=this,r=4*e;return n[r]||n[r+1]?this._clipInfinite(e,t,n[r],n[r+1],n[r+2],n[r+3]):this._clipFinite(e,t)}_clipFinite(e,t){const n=t.length;let r,i,a,o,s,u=null,c=t[n-2],l=t[n-1],f=this._regioncode(c,l);for(let p=0;p<n;p+=2)if(r=c,i=l,c=t[p],l=t[p+1],a=f,f=this._regioncode(c,l),0===a&&0===f)o=s,s=0,u?u.push(c,l):u=[c,l];else{let t,n,p,h,d;if(0===a){if(null===(t=this._clipSegment(r,i,c,l,a,f)))continue;[n,p,h,d]=t}else{if(null===(t=this._clipSegment(c,l,r,i,f,a)))continue;[h,d,n,p]=t,o=s,s=this._edgecode(n,p),o&&s&&this._edge(e,o,s,u,u.length),u?u.push(n,p):u=[n,p]}o=s,s=this._edgecode(h,d),o&&s&&this._edge(e,o,s,u,u.length),u?u.push(h,d):u=[h,d]}if(u)o=s,s=this._edgecode(u[0],u[1]),o&&s&&this._edge(e,o,s,u,u.length);else if(this.contains(e,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2))return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];return u}_clipSegment(e,t,n,r,i,a){for(;;){if(0===i&&0===a)return[e,t,n,r];if(i&a)return null;let o,s,u=i||a;8&u?(o=e+(n-e)*(this.ymax-t)/(r-t),s=this.ymax):4&u?(o=e+(n-e)*(this.ymin-t)/(r-t),s=this.ymin):2&u?(s=t+(r-t)*(this.xmax-e)/(n-e),o=this.xmax):(s=t+(r-t)*(this.xmin-e)/(n-e),o=this.xmin),i?(e=o,t=s,i=this._regioncode(e,t)):(n=o,r=s,a=this._regioncode(n,r))}}_clipInfinite(e,t,n,r,i,a){let o,s=Array.from(t);if((o=this._project(s[0],s[1],n,r))&&s.unshift(o[0],o[1]),(o=this._project(s[s.length-2],s[s.length-1],i,a))&&s.push(o[0],o[1]),s=this._clipFinite(e,s))for(let t,n=0,r=s.length,i=this._edgecode(s[r-2],s[r-1]);n<r;n+=2)t=i,i=this._edgecode(s[n],s[n+1]),t&&i&&(n=this._edge(e,t,i,s,n),r=s.length);else this.contains(e,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2)&&(s=[this.xmin,this.ymin,this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax]);return s}_edge(e,t,n,r,i){for(;t!==n;){let n,a;switch(t){case 5:t=4;continue;case 4:t=6,n=this.xmax,a=this.ymin;break;case 6:t=2;continue;case 2:t=10,n=this.xmax,a=this.ymax;break;case 10:t=8;continue;case 8:t=9,n=this.xmin,a=this.ymax;break;case 9:t=1;continue;case 1:t=5,n=this.xmin,a=this.ymin}r[i]===n&&r[i+1]===a||!this.contains(e,n,a)||(r.splice(i,0,n,a),i+=2)}if(r.length>4)for(let e=0;e<r.length;e+=2){const t=(e+2)%r.length,n=(e+4)%r.length;(r[e]===r[t]&&r[t]===r[n]||r[e+1]===r[t+1]&&r[t+1]===r[n+1])&&(r.splice(t,2),e-=2)}return i}_project(e,t,n,r){let i,a,o,s=1/0;if(r<0){if(t<=this.ymin)return null;(i=(this.ymin-t)/r)<s&&(o=this.ymin,a=e+(s=i)*n)}else if(r>0){if(t>=this.ymax)return null;(i=(this.ymax-t)/r)<s&&(o=this.ymax,a=e+(s=i)*n)}if(n>0){if(e>=this.xmax)return null;(i=(this.xmax-e)/n)<s&&(a=this.xmax,o=t+(s=i)*r)}else if(n<0){if(e<=this.xmin)return null;(i=(this.xmin-e)/n)<s&&(a=this.xmin,o=t+(s=i)*r)}return[a,o]}_edgecode(e,t){return(e===this.xmin?1:e===this.xmax?2:0)|(t===this.ymin?4:t===this.ymax?8:0)}_regioncode(e,t){return(e<this.xmin?1:e>this.xmax?2:0)|(t<this.ymin?4:t>this.ymax?8:0)}}const pD=2*Math.PI,hD=Math.pow;function dD(e){return e[0]}function mD(e){return e[1]}function gD(e,t,n){return[e+Math.sin(e+t)*n,t+Math.cos(e-t)*n]}class vD{static from(e,t=dD,n=mD,r){return new vD("length"in e?function(e,t,n,r){const i=e.length,a=new Float64Array(2*i);for(let o=0;o<i;++o){const i=e[o];a[2*o]=t.call(r,i,o,e),a[2*o+1]=n.call(r,i,o,e)}return a}(e,t,n,r):Float64Array.from(function*(e,t,n,r){let i=0;for(const a of e)yield t.call(r,a,i,e),yield n.call(r,a,i,e),++i}(e,t,n,r)))}constructor(e){this._delaunator=new Zk(e),this.inedges=new Int32Array(e.length/2),this._hullIndex=new Int32Array(e.length/2),this.points=this._delaunator.coords,this._init()}update(){return this._delaunator.update(),this._init(),this}_init(){const e=this._delaunator,t=this.points;if(e.hull&&e.hull.length>2&&function(e){const{triangles:t,coords:n}=e;for(let e=0;e<t.length;e+=3){const r=2*t[e],i=2*t[e+1],a=2*t[e+2];if((n[a]-n[r])*(n[i+1]-n[r+1])-(n[i]-n[r])*(n[a+1]-n[r+1])>1e-10)return!1}return!0}(e)){this.collinear=Int32Array.from({length:t.length/2},((e,t)=>t)).sort(((e,n)=>t[2*e]-t[2*n]||t[2*e+1]-t[2*n+1]));const e=this.collinear[0],n=this.collinear[this.collinear.length-1],r=[t[2*e],t[2*e+1],t[2*n],t[2*n+1]],i=1e-8*Math.hypot(r[3]-r[1],r[2]-r[0]);for(let e=0,n=t.length/2;e<n;++e){const n=gD(t[2*e],t[2*e+1],i);t[2*e]=n[0],t[2*e+1]=n[1]}this._delaunator=new Zk(t)}else delete this.collinear;const n=this.halfedges=this._delaunator.halfedges,r=this.hull=this._delaunator.hull,i=this.triangles=this._delaunator.triangles,a=this.inedges.fill(-1),o=this._hullIndex.fill(-1);for(let e=0,t=n.length;e<t;++e){const t=i[e%3==2?e-2:e+1];-1!==n[e]&&-1!==a[t]||(a[t]=e)}for(let e=0,t=r.length;e<t;++e)o[r[e]]=e;r.length<=2&&r.length>0&&(this.triangles=new Int32Array(3).fill(-1),this.halfedges=new Int32Array(3).fill(-1),this.triangles[0]=r[0],this.triangles[1]=r[1],this.triangles[2]=r[1],a[r[0]]=1,2===r.length&&(a[r[1]]=0))}voronoi(e){return new fD(this,e)}*neighbors(e){const{inedges:t,hull:n,_hullIndex:r,halfedges:i,triangles:a,collinear:o}=this;if(o){const t=o.indexOf(e);return t>0&&(yield o[t-1]),void(t<o.length-1&&(yield o[t+1]))}const s=t[e];if(-1===s)return;let u=s,c=-1;do{if(yield c=a[u],u=u%3==2?u-2:u+1,a[u]!==e)return;if(u=i[u],-1===u){const t=n[(r[e]+1)%n.length];return void(t!==c&&(yield t))}}while(u!==s)}find(e,t,n=0){if((e=+e)!=e||(t=+t)!=t)return-1;const r=n;let i;for(;(i=this._step(n,e,t))>=0&&i!==n&&i!==r;)n=i;return i}_step(e,t,n){const{inedges:r,hull:i,_hullIndex:a,halfedges:o,triangles:s,points:u}=this;if(-1===r[e]||!u.length)return(e+1)%(u.length>>1);let c=e,l=hD(t-u[2*e],2)+hD(n-u[2*e+1],2);const f=r[e];let p=f;do{let r=s[p];const f=hD(t-u[2*r],2)+hD(n-u[2*r+1],2);if(f<l&&(l=f,c=r),p=p%3==2?p-2:p+1,s[p]!==e)break;if(p=o[p],-1===p){if(p=i[(a[e]+1)%i.length],p!==r&&hD(t-u[2*p],2)+hD(n-u[2*p+1],2)<l)return p;break}}while(p!==f);return c}render(e){const t=null==e?e=new cD:void 0,{points:n,halfedges:r,triangles:i}=this;for(let t=0,a=r.length;t<a;++t){const a=r[t];if(a<t)continue;const o=2*i[t],s=2*i[a];e.moveTo(n[o],n[o+1]),e.lineTo(n[s],n[s+1])}return this.renderHull(e),t&&t.value()}renderPoints(e,t=2){const n=null==e?e=new cD:void 0,{points:r}=this;for(let n=0,i=r.length;n<i;n+=2){const i=r[n],a=r[n+1];e.moveTo(i+t,a),e.arc(i,a,t,0,pD)}return n&&n.value()}renderHull(e){const t=null==e?e=new cD:void 0,{hull:n,points:r}=this,i=2*n[0],a=n.length;e.moveTo(r[i],r[i+1]);for(let t=1;t<a;++t){const i=2*n[t];e.lineTo(r[i],r[i+1])}return e.closePath(),t&&t.value()}hullPolygon(){const e=new lD;return this.renderHull(e),e.value()}renderTriangle(e,t){const n=null==t?t=new cD:void 0,{points:r,triangles:i}=this,a=2*i[e*=3],o=2*i[e+1],s=2*i[e+2];return t.moveTo(r[a],r[a+1]),t.lineTo(r[o],r[o+1]),t.lineTo(r[s],r[s+1]),t.closePath(),n&&n.value()}*trianglePolygons(){const{triangles:e}=this;for(let t=0,n=e.length/3;t<n;++t)yield this.trianglePolygon(t)}trianglePolygon(e){const t=new lD;return this.renderTriangle(e,t),t.value()}}function yD(e){ms.call(this,null,e)}yD.Definition={type:"Voronoi",metadata:{modifies:!0},params:[{name:"x",type:"field",required:!0},{name:"y",type:"field",required:!0},{name:"size",type:"number",array:!0,length:2},{name:"extent",type:"array",array:!0,length:2,default:[[-1e5,-1e5],[1e5,1e5]],content:{type:"number",array:!0,length:2}},{name:"as",type:"string",default:"path"}]};const bD=[-1e5,-1e5,1e5,1e5];function xD(e){const t=e[0][0],n=e[0][1];let r=e.length-1;for(;e[r][0]===t&&e[r][1]===n;--r);return"M"+e.slice(0,r+1).join("L")+"Z"}ft(yD,ms,{transform(e,t){const n=e.as||"path",r=t.source;if(!r||!r.length)return t;let i=e.size;i=i?[0,0,i[0],i[1]]:(i=e.extent)?[i[0][0],i[0][1],i[1][0],i[1][1]]:bD;const a=this.value=vD.from(r,e.x,e.y).voronoi(i);for(let e=0,t=r.length;e<t;++e){const t=a.cellPolygon(e);r[e][n]=t?xD(t):null}return t.reflow(e.modified()).modifies(n)}});var wD=Math.PI/180,ED=2048;function CD(e,t,n,r){if(!t.sprite){var i=e.context,a=e.ratio;i.clearRect(0,0,2048/a,ED/a);var o,s,u,c,l,f=0,p=0,h=0,d=n.length;for(--r;++r<d;){if(t=n[r],i.save(),i.font=t.style+" "+t.weight+" "+~~((t.size+1)/a)+"px "+t.font,o=i.measureText(t.text+"m").width*a,u=t.size<<1,t.rotate){var m=Math.sin(t.rotate*wD),g=Math.cos(t.rotate*wD),v=o*g,y=o*m,b=u*g,x=u*m;o=Math.max(Math.abs(v+x),Math.abs(v-x))+31>>5<<5,u=~~Math.max(Math.abs(y+b),Math.abs(y-b))}else 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h={enter:l={opacity:eR},update:p={opacity:tR},exit:f={opacity:eR}};oI(h,{stroke:a("gridColor"),strokeCap:a("gridCap"),strokeDash:a("gridDash"),strokeDashOffset:a("gridDashOffset"),strokeOpacity:a("gridOpacity"),strokeWidth:a("gridWidth")});const d={scale:e.scale,field:$F,band:i.band,extra:i.extra,offset:i.offset,round:a("tickRound")},m=nB(o,{signal:"height"},{signal:"width"}),g=s?{scale:s,range:0,mult:u,offset:c}:{value:0,offset:c},v=s?{scale:s,range:1,mult:u,offset:c}:rt(m,{mult:u,offset:c});return l.x=p.x=nB(o,d,g),l.y=p.y=rB(o,d,g),l.x2=p.x2=rB(o,v),l.y2=p.y2=nB(o,v),f.x=nB(o,d),f.y=rB(o,d),pR({type:iR,role:"axis-grid",key:$F,from:r,encode:h},n)}(e,n,r.grid,p,c)),l.ticks&&(d=u("tickSize"),h.push(function(e,t,n,r,i,a){const o=sR(e,t),s=e.orient,u=tB(s,-1,1);let c,l,f;const p={enter:c={opacity:eR},update:f={opacity:tR},exit:l={opacity:eR}};oI(p,{stroke:o("tickColor"),strokeCap:o("tickCap"),strokeDash:o("tickDash"),strokeDashOffset:o("tickDashOffset"),strokeOpacity:o("tickOpacity"),strokeWidth:o("tickWidth")});const h=iI(i);h.mult=u;const d={scale:e.scale,field:$F,band:a.band,extra:a.extra,offset:a.offset,round:o("tickRound")};return f.y=c.y=nB(s,eR,d),f.y2=c.y2=nB(s,h),l.x=nB(s,d),f.x=c.x=rB(s,eR,d),f.x2=c.x2=rB(s,h),l.y=rB(s,d),pR({type:iR,role:"axis-tick",key:$F,from:r,encode:p},n)}(e,n,r.ticks,p,d,c))),l.labels&&(d=l.ticks?d:0,h.push(bB(e,n,r.labels,p,d,c))),l.domain&&h.push(function(e,t,n,r){const i=sR(e,t),a=e.orient;let o,s;const u={enter:o={opacity:eR},update:s={opacity:tR},exit:{opacity:eR}};oI(u,{stroke:i("domainColor"),strokeCap:i("domainCap"),strokeDash:i("domainDash"),strokeDashOffset:i("domainDashOffset"),strokeWidth:i("domainWidth"),strokeOpacity:i("domainOpacity")});const c=vB(e,0),l=vB(e,1);return o.x=s.x=nB(a,c,eR),o.x2=s.x2=nB(a,l),o.y=s.y=rB(a,c,eR),o.y2=s.y2=rB(a,l),pR({type:iR,role:"axis-domain",from:r,encode:u},n)}(e,n,r.domain,f)),l.title&&h.push(function(e,t,n,r){const i=sR(e,t),a=e.orient,o=tB(a,-1,1);let s,u;const c={enter:s={opacity:eR,anchor:iI(i("titleAnchor",null)),align:{signal:lR}},update:u=rt({},s,{opacity:tR,text:iI(e.title)}),exit:{opacity:eR}},l={signal:`lerp(range("${e.scale}"), ${cR(0,1,.5)})`};return u.x=nB(a,l),u.y=rB(a,l),s.angle=nB(a,eR,((e,t)=>BI(e)?{signal:`(${e.signal}) * 90`}:{value:90*e})(o)),s.baseline=nB(a,iB(a,qF,LF),{value:qF}),u.angle=s.angle,u.baseline=s.baseline,oI(c,{fill:i("titleColor"),fillOpacity:i("titleOpacity"),font:i("titleFont"),fontSize:i("titleFontSize"),fontStyle:i("titleFontStyle"),fontWeight:i("titleFontWeight"),limit:i("titleLimit"),lineHeight:i("titleLineHeight")},{align:i("titleAlign"),angle:i("titleAngle"),baseline:i("titleBaseline")}),function(e,t,n,r){const i=(e,t)=>null!=e?(n.update[t]=dB(iI(e),n.update[t]),!1):!uI(t,r),a=i(e("titleX"),"x"),o=i(e("titleY"),"y");n.enter.auto=o===a?iI(o):nB(t,iI(o),iI(a))}(i,a,c,n),c.update.align=dB(c.update.align,s.align),c.update.angle=dB(c.update.angle,s.angle),c.update.baseline=dB(c.update.baseline,s.baseline),pR({type:aR,role:"axis-title",style:GF,from:r,encode:c},n)}(e,n,r.title,f)),KR(oR({role:"axis",from:f,encode:sI(wB(u,e),i,QF),marks:h,aria:u("aria"),description:u("description"),zindex:u("zindex"),name:a,interactive:o,style:s}),t)}function wB(e,t){const n={enter:{},update:{}};return oI(n,{orient:e("orient"),offset:e("offset")||0,position:PI(t.position,0),titlePadding:e("titlePadding"),minExtent:e("minExtent"),maxExtent:e("maxExtent"),range:{signal:`abs(span(range("${t.scale}")))`},translate:e("translate"),format:t.format,formatType:t.formatType}),n}function EB(e,t,n){const r=Ge(e.signals),i=Ge(e.scales);return n||r.forEach((e=>NI(e,t))),Ge(e.projections).forEach((e=>function(e,t){const n=t.config.projection||{},r={};for(const n in e)"name"!==n&&(r[n]=PF(e[n],n,t));for(const e in n)null==r[e]&&(r[e]=PF(n[e],e,t));t.addProjection(e.name,r)}(e,t))),i.forEach((e=>function(e,t){const n=e.type||"linear";Rd(n)||oe("Unrecognized scale type: "+At(n)),t.addScale(e.name,{type:n,domain:void 0})}(e,t))),Ge(e.data).forEach((e=>function(e,t){const n=[];e.transform&&e.transform.forEach((e=>{n.push(TR(e,t))})),e.on&&e.on.forEach((n=>{GR(n,t,e.name)})),t.addDataPipeline(e.name,function(e,t,n){const r=[];let i,a,o,s,u,c=null,l=!1,f=!1;for(e.values?BI(e.values)||zI(e.format)?(r.push(QR(t,e)),r.push(c=ZR())):r.push(c=ZR({$ingest:e.values,$format:e.format})):e.url?zI(e.url)||zI(e.format)?(r.push(QR(t,e)),r.push(c=ZR())):r.push(c=ZR({$request:e.url,$format:e.format})):e.source&&(c=i=Ge(e.source).map((e=>_I(t.getData(e).output))),r.push(null)),a=0,o=n.length;a<o;++a)s=n[a],u=s.metadata,c||u.source||r.push(c=ZR()),r.push(s),u.generates&&(f=!0),u.modifies&&!f&&(l=!0),u.source?c=s:u.changes&&(c=null);return i&&(o=i.length-1,r[0]=gF({derive:l,pulse:o?i:i[0]}),(l||o)&&r.splice(1,0,ZR())),c||r.push(ZR()),r.push(bF({})),r}(e,t,n))}(e,t))),i.forEach((e=>NF(e,t))),(n||r).forEach((e=>function(e,t){const n=t.getSignal(e.name);let r=e.update;e.init&&(r?oe("Signals can not include both init and update expressions."):(r=e.init,n.initonly=!0)),r&&(r=HT(r,t),n.update=r.$expr,n.params=r.$params),e.on&&e.on.forEach((e=>function(e,t,n){const r=e.encode,i={target:n};let a=e.events,o=e.update,s=[];var u,c;a||oe("Signal update missing events specification."),yt(a)&&(u=a,c=t.isSubscope()?FI:RI,YO=c||"view",JO=XO,a=QO(u.trim()).map(eI)),a=Ge(a).filter((e=>e.signal||e.scale?(s.push(e),0):1)),s.length>1&&(s=[GI(s)]),a.length&&s.push(a.length>1?{merge:a}:a[0]),null!=r&&(o&&oe("Signal encode and update are mutually exclusive."),o="encode(item(),"+At(r)+")"),i.update=yt(o)?HT(o,t):null!=o.expr?HT(o.expr,t):null!=o.value?o.value:null!=o.signal?{$expr:HI,$params:{$value:t.signalRef(o.signal)}}:oe("Invalid signal update specification."),e.force&&(i.options={force:!0}),s.forEach((e=>t.addUpdate(rt(function(e,t){return{source:e.signal?t.signalRef(e.signal):e.scale?t.scaleRef(e.scale):UI(e,t)}}(e,t),i))))}(e,t,n.id)))}(e,t))),Ge(e.axes).forEach((e=>xB(e,t))),Ge(e.marks).forEach((e=>KR(e,t))),Ge(e.legends).forEach((e=>function(e,t){const n=t.config.legend,r=e.encode||{},i=sR(e,n),a=r.legend||{},o=a.name||void 0,s=a.interactive,u=a.style,c={};let l,f,p,h=0;ZF.forEach((t=>e[t]?(c[t]=e[t],h=h||e[t]):0)),h||oe("Missing valid scale for legend.");const d=function(e,t){let n=e.type||KF;return e.type||1!==function(e){return ZF.reduce(((t,n)=>t+(e[n]?1:0)),0)}(e)||!e.fill&&!e.stroke||(n=zd(t)?XF:Ld(t)?YF:KF),n!==XF?n:Ld(t)?YF:XF}(e,t.scaleType(h)),m={title:null!=e.title,scales:c,type:d,vgrad:"symbol"!==d&&i.isVertical()},g=_I(t.add(ZI(null,[m]))),v=_I(t.add(oF(f={type:d,scale:t.scaleRef(h),count:t.objectProperty(i("tickCount")),limit:t.property(i("symbolLimit")),values:t.objectProperty(e.values),minstep:t.property(e.tickMinStep),formatType:t.property(e.formatType),formatSpecifier:t.property(e.format)})));return d===XF?(p=[hR(e,h,n,r.gradient),mR(e,n,r.labels,v)],f.count=f.count||t.signalRef(`max(2,2*floor((${LI(i.gradientLength())})/100))`)):d===YF?p=[dR(e,h,n,r.gradient,v),mR(e,n,r.labels,v)]:(l=function(e,t){const n=sR(e,t);return{align:n("gridAlign"),columns:n.entryColumns(),center:{row:!0,column:!1},padding:{row:n("rowPadding"),column:n("columnPadding")}}}(e,n),p=[gR(e,n,r,v,LI(l.columns))],f.size=function(e,t,n){const r=LI(YR("size",e,n)),i=LI(YR("strokeWidth",e,n)),a=LI(function(e,t,n){return uR("fontSize",e)||function(e,t,n){const r=t.config.style["guide-label"];return r&&r.fontSize}(0,t)}(n[1].encode,t));return HT(`max(ceil(sqrt(${r})+${i}),${a})`,t)}(e,t,p[0].marks)),p=[oR({role:"legend-entry",from:g,encode:{enter:{x:{value:0},y:{value:0}}},marks:p,layout:l,interactive:s})],m.title&&p.push(function(e,t,n,r){const i=sR(e,t),a={enter:{opacity:eR},update:{opacity:tR,x:{field:{group:"padding"}},y:{field:{group:"padding"}}},exit:{opacity:eR}};return oI(a,{orient:i("titleOrient"),_anchor:i("titleAnchor"),anchor:{signal:CR},angle:{signal:SR},align:{signal:ER},baseline:{signal:NR},text:e.title,fill:i("titleColor"),fillOpacity:i("titleOpacity"),font:i("titleFont"),fontSize:i("titleFontSize"),fontStyle:i("titleFontStyle"),fontWeight:i("titleFontWeight"),limit:i("titleLimit"),lineHeight:i("titleLineHeight")},{align:i("titleAlign"),baseline:i("titleBaseline")}),pR({type:aR,role:"legend-title",style:GF,from:r,encode:a},n)}(e,n,r.title,g)),KR(oR({role:"legend",from:g,encode:sI(XR(i,e,n),a,QF),marks:p,aria:i("aria"),description:i("description"),zindex:i("zindex"),name:o,interactive:s,style:u}),t)}(e,t))),e.title&&function(e,t){const n=sR(e=yt(e)?{text:e}:e,t.config.title),r=e.encode||{},i=r.group||{},a=i.name||void 0,o=i.interactive,s=i.style,u=[],c=_I(t.add(ZI(null,[{}])));u.push(function(e,t,n,r){const i={value:0},a={enter:{opacity:i},update:{opacity:{value:1}},exit:{opacity:i}};return oI(a,{text:e.text,align:{signal:"item.mark.group.align"},angle:{signal:"item.mark.group.angle"},limit:{signal:"item.mark.group.limit"},baseline:"top",dx:t("dx"),dy:t("dy"),fill:t("color"),font:t("font"),fontSize:t("fontSize"),fontStyle:t("fontStyle"),fontWeight:t("fontWeight"),lineHeight:t("lineHeight")},{align:t("align"),angle:t("angle"),baseline:t("baseline")}),pR({type:aR,role:"title-text",style:"group-title",from:r,encode:a},n)}(e,n,function(e){const t=e.encode;return t&&t.title||rt({name:e.name,interactive:e.interactive,style:e.style},t)}(e),c)),e.subtitle&&u.push(function(e,t,n,r){const i={value:0},a={enter:{opacity:i},update:{opacity:{value:1}},exit:{opacity:i}};return oI(a,{text:e.subtitle,align:{signal:"item.mark.group.align"},angle:{signal:"item.mark.group.angle"},limit:{signal:"item.mark.group.limit"},baseline:"top",dx:t("dx"),dy:t("dy"),fill:t("subtitleColor"),font:t("subtitleFont"),fontSize:t("subtitleFontSize"),fontStyle:t("subtitleFontStyle"),fontWeight:t("subtitleFontWeight"),lineHeight:t("subtitleLineHeight")},{align:t("align"),angle:t("angle"),baseline:t("baseline")}),pR({type:aR,role:"title-subtitle",style:"group-subtitle",from:r,encode:a},n)}(e,n,r.subtitle,c)),KR(oR({role:"title",from:c,encode:JR(n,i),marks:u,aria:n("aria"),description:n("description"),zindex:n("zindex"),name:a,interactive:o,style:s}),t)}(e.title,t),t.parseLambdas(),t}function CB(e,t){return t&&t.signal?{name:e,update:t.signal}:{name:e,value:t}}function SB(e,t){this.config=e||{},this.options=t||{},this.bindings=[],this.field={},this.signals={},this.lambdas={},this.scales={},this.events={},this.data={},this.streams=[],this.updates=[],this.operators=[],this.eventConfig=null,this.locale=null,this._id=0,this._subid=0,this._nextsub=[0],this._parent=[],this._encode=[],this._lookup=[],this._markpath=[]}function NB(e){this.config=e.config,this.options=e.options,this.legends=e.legends,this.field=Object.create(e.field),this.signals=Object.create(e.signals),this.lambdas=Object.create(e.lambdas),this.scales=Object.create(e.scales),this.events=Object.create(e.events),this.data=Object.create(e.data),this.streams=[],this.updates=[],this.operators=[],this._id=0,this._subid=++e._nextsub[0],this._nextsub=e._nextsub,this._parent=e._parent.slice(),this._encode=e._encode.slice(),this._lookup=e._lookup.slice(),this._markpath=e._markpath}function AB(e){return(Ee(e)?kB:DB)(e)}function kB(e){const t=e.length;let n="[";for(let r=0;r<t;++r){const t=e[r];n+=(r>0?",":"")+(Ce(t)?t.signal||AB(t):At(t))}return n+"]"}function DB(e){let t,n,r="{",i=0;for(t in e)n=e[t],r+=(++i>1?",":"")+At(t)+":"+(Ce(n)?n.signal||AB(n):At(n));return r+"}"}function _B(e,t,n){return Ce(e)||oe("Input Vega specification must be an object."),t=Ne(function(){const e="sans-serif",t="#4c78a8",n="#000",r="#888",i="#ddd";return{description:"Vega visualization",padding:0,autosize:"pad",background:null,events:{defaults:{allow:["wheel"]}},group:null,mark:null,arc:{fill:t},area:{fill:t},image:null,line:{stroke:t,strokeWidth:2},path:{stroke:t},rect:{fill:t},rule:{stroke:n},shape:{stroke:t},symbol:{fill:t,size:64},text:{fill:n,font:e,fontSize:11},trail:{fill:t,size:2},style:{"guide-label":{fill:n,font:e,fontSize:10},"guide-title":{fill:n,font:e,fontSize:11,fontWeight:"bold"},"group-title":{fill:n,font:e,fontSize:13,fontWeight:"bold"},"group-subtitle":{fill:n,font:e,fontSize:12},point:{size:30,strokeWidth:2,shape:"circle"},circle:{size:30,strokeWidth:2},square:{size:30,strokeWidth:2,shape:"square"},cell:{fill:"transparent",stroke:i}},title:{orient:"top",anchor:"middle",offset:4,subtitlePadding:3},axis:{minExtent:0,maxExtent:200,bandPosition:.5,domain:!0,domainWidth:1,domainColor:r,grid:!1,gridWidth:1,gridColor:i,labels:!0,labelAngle:0,labelLimit:180,labelOffset:0,labelPadding:2,ticks:!0,tickColor:r,tickOffset:0,tickRound:!0,tickSize:5,tickWidth:1,titlePadding:4},axisBand:{tickOffset:-.5},projection:{type:"mercator"},legend:{orient:"right",padding:0,gridAlign:"each",columnPadding:10,rowPadding:2,symbolDirection:"vertical",gradientDirection:"vertical",gradientLength:200,gradientThickness:16,gradientStrokeColor:i,gradientStrokeWidth:0,gradientLabelOffset:2,labelAlign:"left",labelBaseline:"middle",labelLimit:160,labelOffset:4,labelOverlap:!0,symbolLimit:30,symbolType:"circle",symbolSize:100,symbolOffset:0,symbolStrokeWidth:1.5,symbolBaseFillColor:"transparent",symbolBaseStrokeColor:r,titleLimit:180,titleOrient:"top",titlePadding:5,layout:{offset:18,direction:"horizontal",left:{direction:"vertical"},right:{direction:"vertical"}}},range:{category:{scheme:"tableau10"},ordinal:{scheme:"blues"},heatmap:{scheme:"yellowgreenblue"},ramp:{scheme:"blues"},diverging:{scheme:"blueorange",extent:[1,0]},symbol:["circle","square","triangle-up","cross","diamond","triangle-right","triangle-down","triangle-left"]}}}(),t,e.config),function(e,t){const n=t.config,r=_I(t.root=t.add(DI())),i=function(e,t){const n=n=>PI(e[n],t[n]),r=[CB("background",n("background")),CB("autosize",tI(n("autosize"))),CB("padding",rI(n("padding"))),CB("width",n("width")||0),CB("height",n("height")||0)],i=r.reduce(((e,t)=>(e[t.name]=t,e)),{}),a={};return Ge(e.signals).forEach((e=>{st(i,e.name)?e=rt(i[e.name],e):r.push(e),a[e.name]=e})),Ge(t.signals).forEach((e=>{st(a,e.name)||st(i,e.name)||r.push(e)})),r}(e,n);i.forEach((e=>NI(e,t))),t.description=e.description||n.description,t.eventConfig=n.events,t.legends=t.objectProperty(n.legend&&n.legend.layout),t.locale=n.locale;const a=t.add(ZI()),o=t.add(tF(xI((e=>sI({enter:{x:{value:0},y:{value:0}},update:{width:{signal:"width"},height:{signal:"height"}}},e))(e.encode),nR,lI,e.style,t,{pulse:_I(a)}))),s=t.add(wF({layout:t.objectProperty(e.layout),legends:t.legends,autosize:t.signalRef("autosize"),mark:r,pulse:_I(o)}));t.operators.pop(),t.pushState(_I(o),_I(s),null),EB(e,t,i),t.operators.push(s);let u=t.add(JI({mark:r,pulse:_I(s)}));return u=t.add(vF({pulse:_I(u)})),u=t.add(bF({pulse:_I(u)})),t.addData("root",new WR(t,a,a,u)),t}(e,new SB(t,n)).toRuntime()}SB.prototype=NB.prototype={parse(e){return EB(e,this)},fork(){return new NB(this)},isSubscope(){return this._subid>0},toRuntime(){return this.finish(),{description:this.description,operators:this.operators,streams:this.streams,updates:this.updates,bindings:this.bindings,eventConfig:this.eventConfig,locale:this.locale}},id(){return(this._subid?this._subid+":":0)+this._id++},add(e){return this.operators.push(e),e.id=this.id(),e.refs&&(e.refs.forEach((t=>{t.$ref=e.id})),e.refs=null),e},proxy(e){const t=e instanceof AI?_I(e):e;return this.add(mF({value:t}))},addStream(e){return this.streams.push(e),e.id=this.id(),e},addUpdate(e){return this.updates.push(e),e},finish(){let e,t;for(e in this.root&&(this.root.root=!0),this.signals)this.signals[e].signal=e;for(e in this.scales)this.scales[e].scale=e;function n(e,t,n){let r,i;e&&(r=e.data||(e.data={}),i=r[t]||(r[t]=[]),i.push(n))}for(e in this.data){t=this.data[e],n(t.input,e,"input"),n(t.output,e,"output"),n(t.values,e,"values");for(const r in t.index)n(t.index[r],e,"index:"+r)}return this},pushState(e,t,n){this._encode.push(_I(this.add(bF({pulse:e})))),this._parent.push(t),this._lookup.push(n?_I(this.proxy(n)):null),this._markpath.push(-1)},popState(){this._encode.pop(),this._parent.pop(),this._lookup.pop(),this._markpath.pop()},parent(){return De(this._parent)},encode(){return De(this._encode)},lookup(){return De(this._lookup)},markpath(){const e=this._markpath;return++e[e.length-1]},fieldRef(e,t){if(yt(e))return MI(e,t);e.signal||oe("Unsupported field reference: "+At(e));const n=e.signal;let r=this.field[n];if(!r){const e={name:this.signalRef(n)};t&&(e.as=t),this.field[n]=r=_I(this.add(iF(e)))}return r},compareRef(e){let t=!1;const n=e=>BI(e)?(t=!0,this.signalRef(e.signal)):function(e){return e&&e.expr}(e)?(t=!0,this.exprRef(e.expr)):e,r=Ge(e.field).map(n),i=Ge(e.order).map(n);return t?_I(this.add(QI({fields:r,orders:i}))):OI(r,i)},keyRef(e,t){let n=!1;const r=this.signals;return e=Ge(e).map((e=>BI(e)?(n=!0,_I(r[e.signal])):e)),n?_I(this.add(aF({fields:e,flat:t}))):function(e,t){const n={$key:e};return t&&(n.$flat=!0),n}(e,t)},sortRef(e){if(!e)return e;const t=II(e.op,e.field),n=e.order||"ascending";return n.signal?_I(this.add(QI({fields:t,orders:this.signalRef(n.signal)}))):OI(t,n)},event(e,t){const n=e+":"+t;if(!this.events[n]){const r=this.id();this.streams.push({id:r,source:e,type:t}),this.events[n]=r}return this.events[n]},hasOwnSignal(e){return st(this.signals,e)},addSignal(e,t){this.hasOwnSignal(e)&&oe("Duplicate signal name: "+At(e));const n=t instanceof AI?t:this.add(DI(t));return this.signals[e]=n},getSignal(e){return this.signals[e]||oe("Unrecognized signal name: "+At(e)),this.signals[e]},signalRef(e){return this.signals[e]?_I(this.signals[e]):(st(this.lambdas,e)||(this.lambdas[e]=this.add(DI(null))),_I(this.lambdas[e]))},parseLambdas(){const e=Object.keys(this.lambdas);for(let t=0,n=e.length;t<n;++t){const n=e[t],r=HT(n,this),i=this.lambdas[n];i.params=r.$params,i.update=r.$expr}},property(e){return e&&e.signal?this.signalRef(e.signal):e},objectProperty(e){return e&&Ce(e)?this.signalRef(e.signal||AB(e)):e},exprRef(e,t){const n={expr:HT(e,this)};return t&&(n.expr.$name=t),_I(this.add(nF(n)))},addBinding(e,t){this.bindings||oe("Nested signals do not support binding: "+At(e)),this.bindings.push(rt({signal:e},t))},addScaleProj(e,t){st(this.scales,e)&&oe("Duplicate scale or projection name: "+At(e)),this.scales[e]=this.add(t)},addScale(e,t){this.addScaleProj(e,yF(t))},addProjection(e,t){this.addScaleProj(e,dF(t))},getScale(e){return this.scales[e]||oe("Unrecognized scale name: "+At(e)),this.scales[e]},scaleRef(e){return _I(this.getScale(e))},scaleType(e){return this.getScale(e).params.type},projectionRef(e){return this.scaleRef(e)},projectionType(e){return this.scaleType(e)},addData(e,t){return st(this.data,e)&&oe("Duplicate data set name: "+At(e)),this.data[e]=t},getData(e){return this.data[e]||oe("Undefined data set name: "+At(e)),this.data[e]},addDataPipeline(e,t){return st(this.data,e)&&oe("Duplicate data set name: "+At(e)),this.addData(e,WR.fromEntries(this,t))}};function MB(e){this.type=e}var TB,OB,IB,FB,RB;MB.prototype.visit=function(e){let t,n,r;if(e(this))return 1;for(t=function(e){switch(e.type){case"ArrayExpression":return e.elements;case"BinaryExpression":case"LogicalExpression":return[e.left,e.right];case"CallExpression":return[e.callee].concat(e.arguments);case"ConditionalExpression":return[e.test,e.consequent,e.alternate];case"MemberExpression":return[e.object,e.property];case"ObjectExpression":return 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HG{constructor(e,t,n,r){super(e,t),this.type=n,this.refCounts=r,this._source=this._name=t,this.refCounts&&!(this._name in this.refCounts)&&(this.refCounts[this._name]=0)}clone(){const e=new this.constructor;return e.debugName="clone_"+this.debugName,e._source=this._source,e._name="clone_"+this._name,e.type=this.type,e.refCounts=this.refCounts,e.refCounts[e._name]=0,e}dependentFields(){return new Set}producedFields(){return new Set}hash(){return void 0===this._hash&&(this._hash=`Output ${function(e){const t=++nL;return t}()}`),this._hash}getSource(){return this.refCounts[this._name]++,this._source}isRequired(){return!!this.refCounts[this._name]}setSource(e){this._source=e}}class KG extends HG{constructor(e,t){super(e),this.formula=t}clone(){return new KG(null,AP(this.formula))}static makeFromEncoding(e,t){const n=t.reduceFieldDef(((e,n,r)=>{const{field:i,timeUnit:a}=n,o=hZ(t)?t.encoding[Kj(r)]:void 0,s=hZ(t)&&cV(r,n,o,t.stack,t.markDef,t.config);if(a){const t=NV(n,{forAs:!0});e[MP({as:t,field:i,timeUnit:a})]=Object.assign({as:t,field:i,timeUnit:a},s?{band:!0}:{})}return e}),{});return jP(n)?null:new KG(e,n)}static makeFromTransform(e,t){const n=Object.assign({},t),{timeUnit:r}=n,i=hP(n,["timeUnit"]),a=Dq(r),o=Object.assign(Object.assign({},i),{timeUnit:a});return new KG(e,{[MP(o)]:o})}merge(e){this.formula=Object.assign({},this.formula);for(const t in e.formula)this.formula[t]&&!e.formula[t].band||(this.formula[t]=e.formula[t]);for(const t of e.children)e.removeChild(t),t.parent=this;e.remove()}producedFields(){return new Set(qP(this.formula).map((e=>e.as)))}dependentFields(){return new Set(qP(this.formula).map((e=>e.field)))}hash(){return`TimeUnit ${MP(this.formula)}`}assemble(){const e=[];for(const t of qP(this.formula)){const{field:n,as:r,timeUnit:i}=t,a=Dq(i),{unit:o,utc:s}=a,u=hP(a,["unit","utc"]);e.push(Object.assign(Object.assign(Object.assign(Object.assign({field:JP(n),type:"timeunit"},o?{units:Nq(o)}:{}),s?{timezone:"utc"}:{}),u),{as:[r,`${r}_end`]}))}return e}}const XG="_tuple_fields";class YG{constructor(...e){this.items=e,this.hasChannel={},this.hasField={}}}const JG={has:()=>!0,parse:(e,t,n)=>{var r,i,a;const o=t.name,s=null!==(r=t.project)&&void 0!==r?r:t.project=new YG,u={},c={},l=new Set,f=(e,t)=>{const n="visual"===t?e.channel:e.field;let r=$P(`${o}_${n}`);for(let e=1;l.has(r);e++)r=$P(`${o}_${n}_${e}`);return l.add(r),{[t]:r}};if(!n.fields&&!n.encodings){const t=e.config.selection[n.type];if(n.init)for(const e of aP(n.init))for(const r of UP(e))qj[r]?(n.encodings||(n.encodings=[])).push(r):"interval"===n.type?(hq('Interval selections should be initialized using "x" and/or "y" keys.'),n.encodings=t.encodings):(n.fields||(n.fields=[])).push(r);else 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n.filter((e=>e.name===r)).length>0?n:n.concat({name:r,value:t.project.items.map((e=>{const{signals:t,hasLegend:n}=e,r=hP(e,["signals","hasLegend"]);return r.field=JP(r.field),r}))})}},ZG={has:e=>"single"===e.type&&"global"===e.resolve&&e.bind&&"scales"!==e.bind&&!q$(e.bind),parse:(e,t,n,r)=>{r.on||delete t.events,r.clear||delete t.clear},topLevelSignals:(e,t,n)=>{const r=t.name,i=t.project,a=t.bind,o=t.init&&t.init[0],s=$G.has(t)?"(item().isVoronoi ? datum.datum : datum)":"datum";return i.items.forEach(((e,i)=>{var u,c;const l=$P(`${r}_${e.field}`);n.filter((e=>e.name===l)).length||n.unshift(Object.assign(Object.assign({name:l},o?{init:vK(o[i])}:{value:null}),{on:t.events?[{events:t.events,update:`datum && item().mark.marktype !== 'group' ? ${s}[${fP(e.field)}] : null`}]:[],bind:null!==(c=null!==(u=a[e.field])&&void 0!==u?u:a[e.channel])&&void 0!==c?c:a}))})),n},signals:(e,t,n)=>{const 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i=n.filter((e=>e.name===t.name))[0];let a=i.update;if(a.indexOf(_K)>=0)i.update=`{${r.map((e=>`${fP(e.field)}: ${e.signals.data}`)).join(", ")}}`;else{for(const e of r){const t=`${fP(e.field)}: ${e.signals.data}`;a.indexOf(t)<0&&(a=`${a.substring(0,a.length-1)}, ${t}}`)}i.update=a}return n.concat(r.map((e=>({name:e.signals.data}))))},signals:(e,t,n)=>{if(e.parent&&!oK(e))for(const e of t.scales){const t=n.filter((t=>t.name===e.signals.data))[0];t.push="outer",delete t.value,delete t.update}return n}},iK=rK;function aK(e,t){return`domain(${fP(e.scaleName(t))})`}function oK(e){var t;return e.parent&&gZ(e.parent)&&(null!==(t=!e.parent.parent)&&void 0!==t?t:oK(e.parent.parent))}const sK={has:e=>{const t="global"===e.resolve&&e.bind&&q$(e.bind),n=1===e.project.items.length&&e.project.items[0].field!==j$;return t&&!n&&hq("Legend bindings are only supported for selections over an individual field or encoding channel."),t&&n},parse:(e,t,n,r)=>{var i;if(r.on||delete t.events,r.clear||delete 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r=t.name,i=t.project,a=n.find((e=>e.name===r+DK)),o=r+XG,s=i.items.filter((e=>e.hasLegend)).map((e=>$P(`${r}_${$P(e.field)}_legend`))),u=`${s.map((e=>`${e} !== null`)).join(" && ")} ? {fields: ${o}, values: [${s.join(", ")}]} : null`;t.events&&s.length>0?a.on.push({events:s.map((e=>({signal:e}))),update:u}):s.length>0&&(a.update=u,delete a.value,delete a.on);const c=n.find((e=>e.name===r+eK)),l=W$(t.bind)&&t.bind.legend;return c&&(t.events?c.on.push(Object.assign(Object.assign({},c.on[0]),{events:l})):c.on[0].events=l),n}},uK="_translate_anchor",cK="_translate_delta",lK={has:e=>"interval"===e.type&&e.translate,signals:(e,t,n)=>{const r=t.name,i=iK.has(t),a=r+uK,{x:o,y:s}=t.project.hasChannel;let u=Lz(t.translate,"scope");return i||(u=u.map((e=>(e.between[0].markname=r+xK,e)))),n.push({name:a,value:{},on:[{events:u.map((e=>e.between[0])),update:"{x: x(unit), y: y(unit)"+(void 0!==o?", extent_x: "+(i?aK(e,KL):`slice(${o.signals.visual})`):"")+(void 0!==s?", extent_y: "+(i?aK(e,XL):`slice(${s.signals.visual})`):"")+"}"}]},{name:r+cK,value:{},on:[{events:u,update:`{x: ${a}.x - x(unit), y: ${a}.y - y(unit)}`}]}),void 0!==o&&fK(e,t,o,"width",n),void 0!==s&&fK(e,t,s,"height",n),n}};function fK(e,t,n,r,i){var a;const o=t.name,s=o+uK,u=o+cK,c=n.channel,l=iK.has(t),f=i.filter((e=>e.name===n.signals[l?"data":"visual"]))[0],p=e.getSizeSignalRef(r).signal,h=e.getScaleComponent(c),d=h.get("type"),m=`${s}.extent_${c}`,g=`${l?"log"===d?"panLog":"pow"===d?"panPow":"panLinear":"panLinear"}(${m}, ${`${l&&c===KL?"-":""}${u}.${c} / `+(l?`${p}`:`span(${m})`)}`+(l&&"pow"===d?`, ${null!==(a=h.get("exponent"))&&void 0!==a?a:1}`:"")+")";f.on.push({events:{signal:u},update:l?g:`clampRange(${g}, 0, ${p})`})}const pK="_zoom_delta",hK={has:e=>"interval"===e.type&&e.zoom,signals:(e,t,n)=>{const r=t.name,i=iK.has(t),a=r+pK,{x:o,y:s}=t.project.hasChannel,u=fP(e.scaleName(KL)),c=fP(e.scaleName(XL));let l=Lz(t.zoom,"scope");return i||(l=l.map((e=>(e.markname=r+xK,e)))),n.push({name:r+"_zoom_anchor",on:[{events:l,update:i?"{"+[u?`x: invert(${u}, x(unit))`:"",c?`y: invert(${c}, y(unit))`:""].filter((e=>!!e)).join(", ")+"}":"{x: x(unit), y: y(unit)}"}]},{name:a,on:[{events:l,force:!0,update:"pow(1.001, event.deltaY * pow(16, event.deltaMode))"}]}),void 0!==o&&dK(e,t,o,"width",n),void 0!==s&&dK(e,t,s,"height",n),n}};function dK(e,t,n,r,i){var a;const o=t.name,s=n.channel,u=iK.has(t),c=i.filter((e=>e.name===n.signals[u?"data":"visual"]))[0],l=e.getSizeSignalRef(r).signal,f=e.getScaleComponent(s),p=f.get("type"),h=u?aK(e,s):c.name,d=o+pK,m=`${u?"log"===p?"zoomLog":"pow"===p?"zoomPow":"zoomLinear":"zoomLinear"}(${h}, ${o}_zoom_anchor.${s}, ${d}`+(u&&"pow"===p?`, ${null!==(a=f.get("exponent"))&&void 0!==a?a:1}`:"")+")";c.on.push({events:{signal:d},update:u?m:`clampRange(${m}, 0, ${l})`})}const mK=[JG,tK,iK,sK,lK,hK,QG,$G,nK];function gK(e,t){for(const n of mK)n.has(e)&&t(n)}function vK(e,t=!0,n=Jz){if(Qz(e)){const r=e.map((e=>vK(e,t,n)));return t?`[${r.join(", ")}]`:r}return dq(e)?n(t?xq(e):function(e){const t=bq(e,!0);return e.utc?+new Date(Date.UTC(...t)):+new Date(...t)}(e)):t?n(JSON.stringify(e)):e}function yK(e,t){return TK(e,((n,r)=>{t=r.marks?r.marks(e,n,t):t,gK(n,(r=>{r.marks&&(t=r.marks(e,n,t))}))})),t}function bK(e){return e.map((e=>(e.on&&!e.on.length&&delete e.on,e)))}const xK="_brush",wK="_scale_trigger",EK={signals:(e,t)=>{const n=t.name,r=n+XG,i=iK.has(t),a=[],o=[],s=[];if(t.translate&&!i){const e=`!event.item || event.item.mark.name !== ${fP(n+xK)}`;CK(t,((t,n)=>{var r;const i=aP(null!==(r=n.between[0].filter)&&void 0!==r?r:n.between[0].filter=[]);return i.indexOf(e)<0&&i.push(e),t}))}t.project.items.forEach(((n,r)=>{const i=n.channel;if(i!==KL&&i!==XL)return void hq("Interval selections only support x and y encoding channels.");const u=t.init?t.init[r]:null,c=function(e,t,n,r){const i=n.channel,a=n.signals.visual,o=n.signals.data,s=iK.has(t),u=fP(e.scaleName(i)),c=e.getScaleComponent(i),l=c?c.get("type"):void 0,f=e=>`scale(${u}, ${e})`,p=e.getSizeSignalRef(i===KL?"width":"height").signal,h=`${i}(unit)`,d=CK(t,((e,t)=>[...e,{events:t.between[0],update:`[${h}, ${h}]`},{events:t,update:`[${a}[0], clamp(${h}, 0, ${p})]`}]));return d.push({events:{signal:t.name+wK},update:gW(l)?`[${f(`${o}[0]`)}, ${f(`${o}[1]`)}]`:"[0, 0]"}),s?[{name:o,on:[]}]:[Object.assign(Object.assign({name:a},r?{init:vK(r,!0,f)}:{value:[]}),{on:d}),Object.assign(Object.assign({name:o},r?{init:vK(r)}:{}),{on:[{events:{signal:a},update:`${a}[0] === ${a}[1] ? null : invert(${u}, ${a})`}]})]}(e,t,n,u),l=n.signals.data,f=n.signals.visual,p=fP(e.scaleName(i)),h=gW(e.getScaleComponent(i).get("type"))?"+":"";a.push(...c),o.push(l),s.push({scaleName:e.scaleName(i),expr:`(!isArray(${l}) || (${h}invert(${p}, ${f})[0] === ${h}${l}[0] && ${h}invert(${p}, ${f})[1] === 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${r})`}}function WY(e){const t=hZ(e)?function(e){const{encoding:t}=e,n={};for(const r of[oj,...z$]){const i=BV(t[r]);i&&e.getScaleComponent(r)&&(r===cj&&hV(i)&&i.type===Zq||(n[r]=$Y(e,r)))}return n}(e):function(e){const{legends:t,resolve:n}=e.component;for(const r of e.children){WY(r);for(const i of UP(r.component.legends))n.legend[i]=TY(e.component.resolve,i),"shared"===n.legend[i]&&(t[i]=HY(t[i],r.component.legends[i]),t[i]||(n.legend[i]="independent",delete t[i]))}for(const r of UP(t))for(const t of e.children)t.component.legends[r]&&"shared"===n.legend[r]&&delete t.component.legends[r];return t}(e);return e.component.legends=t,t}function VY(e,t,n,r){switch(t){case"disable":return void 0!==n;case"values":return!!(null==n?void 0:n.values);case"title":if("title"===t&&e===(null==r?void 0:r.title))return!0}return e===(n||{})[t]}function $Y(e,t){var n,r,i;let a=e.legend(t);const{markDef:o,encoding:s,config:u}=e,c=u.legend,l=new FY({},function(e,t){const n=e.scaleName(t);if("trail"===e.mark){if("color"===t)return{stroke:n};if("size"===t)return{strokeWidth:n}}return"color"===t?e.markDef.filled?{fill:n}:{stroke:n}:{[t]:n}}(e,t));!function(e,t,n){var r;const i=null===(r=e.fieldDef(t))||void 0===r?void 0:r.field;TK(e,(e=>{var r,a;const o=null!==(r=e.project.hasField[i])&&void 0!==r?r:e.project.hasChannel[t];if(o&&sK.has(e)){const t=null!==(a=n.get("selections"))&&void 0!==a?a:[];t.push(e.name),n.set("selections",t,!1),o.hasLegend=!0}}))}(e,t,l);const f=void 0!==a?!a:c.disable;if(l.set("disable",f,void 0!==a),f)return l;a=a||{};const p=e.getScaleComponent(t).get("type"),h=BV(s[t]),d=hV(h)?null===(n=Dq(h.timeUnit))||void 0===n?void 0:n.unit:void 0,m=a.orient||u.legend.orient||"right",g=function(e){const{legend:t}=e;return tL(t.type,function({channel:e,timeUnit:t,scaleType:n}){if(Mj(e)){if(OP(["quarter","month","day"],t))return"symbol";if(vW(n))return"gradient"}return"symbol"}(e))}({legend:a,channel:t,timeUnit:d,scaleType:p}),v={legend:a,channel:t,model:e,markDef:o,encoding:s,fieldOrDatumDef:h,legendConfig:c,config:u,scaleType:p,orient:m,legendType:g,direction:UY({legend:a,legendType:g,orient:m,legendConfig:c})};for(const n of IY){const r=n in jY?jY[n](v):a[n];if(void 0!==r){const i=VY(r,n,a,e.fieldDef(t));(i||void 0===u.legend[n])&&l.set(n,r,i)}}const y=null!==(r=null==a?void 0:a.encoding)&&void 0!==r?r:{},b=l.get("selections"),x={},w={fieldOrDatumDef:h,model:e,channel:t,legendCmpt:l,legendType:g};for(const t of["labels","legend","title","symbols","gradient","entries"]){const n=_Y(null!==(i=y[t])&&void 0!==i?i:{},e),r=t in RY?RY[t](n,w):n;void 0===r||jP(r)||(x[t]=Object.assign(Object.assign(Object.assign({},(null==b?void 0:b.length)&&hV(h)?{name:`${$P(h.field)}_legend_${t}`}:{}),(null==b?void 0:b.length)?{interactive:!!b}:{}),{update:r}))}return jP(x)||l.set("encode",x,!!(null==a?void 0:a.encoding)),l}function HY(e,t){var n,r,i,a;if(!e)return t.clone();const o=e.getWithExplicit("orient"),s=t.getWithExplicit("orient");if(o.explicit&&s.explicit&&o.value!==s.value)return;let u=!1;for(const n of IY){const r=qH(e.getWithExplicit(n),t.getWithExplicit(n),n,"legend",((e,t)=>{switch(n){case"symbolType":return r=e,"circle"===(i=t).value?i:r;case"title":return a$(e,t);case"type":return u=!0,LH("symbol")}var r,i;return UH(e,t,n,"legend")}));e.setWithExplicit(n,r)}return u&&((null===(r=null===(n=e.implicit)||void 0===n?void 0:n.encode)||void 0===r?void 0:r.gradient)&&GP(e.implicit,["encode","gradient"]),(null===(a=null===(i=e.explicit)||void 0===i?void 0:i.encode)||void 0===a?void 0:a.gradient)&&GP(e.explicit,["encode","gradient"])),e}function GY(e,t,n,r){var i,a,o;e.encode=null!==(i=e.encode)&&void 0!==i?i:{},e.encode[t]=null!==(a=e.encode[t])&&void 0!==a?a:{},e.encode[t].update=null!==(o=e.encode[t].update)&&void 0!==o?o:{},e.encode[t].update[n]=r}function KY(e){const t=e.component.legends,n={};for(const r of UP(t)){const i=e.getScaleComponent(r),a=_P(i.get("domains"));if(n[a])for(const e of n[a])HY(e,t[r])||n[a].push(t[r]);else n[a]=[t[r].clone()]}const r=qP(n).flat().map((t=>function(e,t){var n,r,i;const a=e.combine(),{disable:o,labelExpr:s,selections:u}=a,c=hP(a,["disable","labelExpr","selections"]);if(!o){if(!1===t.aria&&null==c.aria&&(c.aria=!1),null===(n=c.encode)||void 0===n?void 0:n.symbols){const e=c.encode.symbols.update;!e.fill||"transparent"===e.fill.value||e.stroke||c.stroke||(e.stroke={value:"transparent"});for(const t of z$)c[t]&&delete e[t]}if(c.title||delete c.title,void 0!==s){let e=s;(null===(i=null===(r=c.encode)||void 0===r?void 0:r.labels)||void 0===i?void 0:i.update)&&_q(c.encode.labels.update.text)&&(e=ZP(s,"datum.label",c.encode.labels.update.text.signal)),GY(c,"labels","text",{signal:e})}for(const e in c){const t=c[e];if(_q(t)){const n=P$[e];if(n){const{vgProp:r,part:i}=n;GY(c,i,r,t),delete c[e]}}}return c}}(t,e.config))).filter((e=>void 0!==e));return r}function XY(e){const t=e.component.projection;if(!t||t.merged)return[];const n=t.combine(),{name:r}=n;if(t.data){const i={signal:`[${t.size.map((e=>e.signal)).join(", ")}]`},a=t.data.reduce(((t,n)=>{const r=_q(n)?n.signal:`data('${e.lookupDataSource(n)}')`;return OP(t,r)||t.push(r),t}),[]);if(a.length<=0)throw new Error("Projection's fit didn't find any data sources");return[Object.assign({name:r,size:i,fit:{signal:a.length>1?`[${a.join(", ")}]`:a[0]}},n)]}return[Object.assign(Object.assign({name:r},{translate:{signal:"[width / 2, height / 2]"}}),n)]}const YY=["type","clipAngle","clipExtent","center","rotate","precision","reflectX","reflectY","coefficient","distance","fraction","lobes","parallel","radius","ratio","spacing","tilt"];class JY extends zH{constructor(e,t,n,r){super(Object.assign({},t),{name:e}),this.specifiedProjection=t,this.size=n,this.data=r,this.merged=!1}get isFit(){return!!this.data}}function ZY(e){e.component.projection=hZ(e)?function(e){var t;if(e.hasProjection){const n=e.specifiedProjection,r=!(n&&(null!=n.scale||null!=n.translate)),i=r?[e.getSizeSignalRef("width"),e.getSizeSignalRef("height")]:void 0,a=r?function(e){const t=[],{encoding:n}=e;for(const r of[[rj,nj],[aj,ij]])(BV(n[r[0]])||BV(n[r[1]]))&&t.push({signal:e.getName(`geojson_${t.length}`)});return e.channelHasField(cj)&&e.typedFieldDef(cj).type===Zq&&t.push({signal:e.getName(`geojson_${t.length}`)}),0===t.length&&t.push(e.requestDataName(JH)),t}(e):void 0;return new JY(e.projectionName(!0),Object.assign(Object.assign({},null!==(t=e.config.projection)&&void 0!==t?t:{}),null!=n?n:{}),i,a)}}(e):function(e){if(0===e.children.length)return;let t;for(const t of e.children)ZY(t);const n=FP(e.children,(e=>{const n=e.component.projection;if(n){if(t){const e=function(e,t){const n=FP(YY,(n=>!sP(e.explicit,n)&&!sP(t.explicit,n)||!(!sP(e.explicit,n)||!sP(t.explicit,n)||_P(e.get(n))!==_P(t.get(n)))));if(_P(e.size)===_P(t.size)){if(n)return e;if(_P(e.explicit)===_P({}))return t;if(_P(t.explicit)===_P({}))return e}return null}(t,n);return e&&(t=e),!!e}return t=n,!0}return!0}));if(t&&n){const n=e.projectionName(!0),r=new JY(n,t.specifiedProjection,t.size,AP(t.data));for(const t of e.children){const e=t.component.projection;e&&(e.isFit&&r.data.push(...t.component.projection.data),t.renameProjection(e.get("name"),n),e.merged=!0)}return r}}(e)}function QY(e,t){return`${IU(e)}_${t}`}function eJ(e,t,n){var r;const i=QY(null!==(r=jV(n,void 0))&&void 0!==r?r:{},t);return e.getName(`${i}_bins`)}function tJ(e,t,n){let r,i;r=function(e){return"as"in e}(e)?lP(e.as)?[e.as,`${e.as}_end`]:[e.as[0],e.as[1]]:[NV(e,{forAs:!0}),NV(e,{binSuffix:"end",forAs:!0})];const a=Object.assign({},jV(t,void 0)),o=QY(a,e.field),{signal:s,extentSignal:u}=function(e,t){return{signal:e.getName(`${t}_bins`),extentSignal:e.getName(`${t}_extent`)}}(n,o);if(zU(a.extent)){const e=a.extent,t=e.selection;i=VX(n.getSelectionComponent($P(t),t),e),delete a.extent}return{key:o,binComponent:Object.assign(Object.assign(Object.assign({bin:a,field:e.field,as:[r]},s?{signal:s}:{}),u?{extentSignal:u}:{}),i?{span:i}:{})}}class nJ extends HG{constructor(e,t){super(e),this.bins=t}clone(){return new nJ(null,AP(this.bins))}static makeFromEncoding(e,t){const n=t.reduceFieldDef(((e,n,r)=>{if(bV(n)&&FU(n.bin)){const{key:i,binComponent:a}=tJ(n,n.bin,t);e[i]=Object.assign(Object.assign(Object.assign({},a),e[i]),function(e,t,n,r){var i,a;if($V(t,n)){const o=hZ(e)&&null!==(a=null!==(i=e.axis(n))&&void 0!==i?i:e.legend(n))&&void 0!==a?a:{},s=NV(t,{expr:"datum"}),u=NV(t,{expr:"datum",binSuffix:"end"});return{formulaAs:NV(t,{binSuffix:"range",forAs:!0}),formula:YW(s,u,o.format,o.formatType,r)}}return{}}(t,n,r,t.config))}return e}),{});return jP(n)?null:new nJ(e,n)}static makeFromTransform(e,t,n){const{key:r,binComponent:i}=tJ(t,t.bin,n);return new nJ(e,{[r]:i})}merge(e,t){for(const n of UP(e.bins))n in this.bins?(t(e.bins[n].signal,this.bins[n].signal),this.bins[n].as=BP([...this.bins[n].as,...e.bins[n].as],MP)):this.bins[n]=e.bins[n];for(const t of e.children)e.removeChild(t),t.parent=this;e.remove()}producedFields(){return new Set(qP(this.bins).map((e=>e.as)).flat(2))}dependentFields(){return new Set(qP(this.bins).map((e=>e.field)))}hash(){return`Bin ${MP(this.bins)}`}assemble(){return qP(this.bins).flatMap((e=>{const t=[],[n,...r]=e.as,i=e.bin,{extent:a}=i,o=hP(i,["extent"]),s=Object.assign(Object.assign(Object.assign({type:"bin",field:JP(e.field),as:n,signal:e.signal},zU(a)?{extent:null}:{extent:a}),e.span?{span:{signal:`span(${e.span})`}}:{}),o);!a&&e.extentSignal&&(t.push({type:"extent",field:JP(e.field),signal:e.extentSignal}),s.extent={signal:e.extentSignal}),t.push(s);for(const e of r)for(let r=0;r<2;r++)t.push({type:"formula",expr:NV({field:n[r]},{expr:"datum"}),as:e[r]});return e.formula&&t.push({type:"formula",expr:e.formula,as:e.formulaAs}),t}))}}class rJ extends HG{constructor(e){let t;if(super(null),GH(e=null!=e?e:{name:"source"})||(t=e.format?Object.assign({},DP(e.format,["parse"])):{}),$H(e))this._data={values:e.values};else if(VH(e)){if(this._data={url:e.url},!t.type){let n=/(?:\.([^.]+))?$/.exec(e.url)[1];OP(["json","csv","tsv","dsv","topojson"],n)||(n="json"),t.type=n}}else XH(e)?this._data={values:[{type:"Sphere"}]}:(HH(e)||GH(e))&&(this._data={});this._generator=GH(e),e.name&&(this._name=e.name),t&&!jP(t)&&(this._data.format=t)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(e){this._name=e}set parent(e){throw new Error("Source nodes have to be roots.")}remove(){throw new Error("Source nodes are roots and cannot be removed.")}hash(){throw new Error("Cannot hash sources")}assemble(){return Object.assign(Object.assign({name:this._name},this._data),{transform:[]})}}function iJ(e){for(const t of e){for(const e of t.children)if(e.parent!==t)return console.error("Dataflow graph is inconsistent.",t,e),!1;if(!iJ(t.children))return!1}return!0}class aJ extends HG{constructor(e,t){super(e),this.params=t}clone(){return new aJ(null,this.params)}dependentFields(){return new Set}producedFields(){}hash(){return`Graticule ${MP(this.params)}`}assemble(){return Object.assign({type:"graticule"},!0===this.params?{}:this.params)}}class oJ extends HG{constructor(e,t){super(e),this.params=t}clone(){return new oJ(null,this.params)}dependentFields(){return new Set}producedFields(){var e;return new Set([null!==(e=this.params.as)&&void 0!==e?e:"data"])}hash(){return`Hash ${MP(this.params)}`}assemble(){return Object.assign({type:"sequence"},this.params)}}function sJ(e){return e instanceof rJ||e instanceof aJ||e instanceof oJ}class uJ{constructor(){this._mutated=!1}setMutated(){this._mutated=!0}get mutatedFlag(){return this._mutated}}class cJ extends uJ{constructor(){super(),this._continue=!1}setContinue(){this._continue=!0}get continueFlag(){return this._continue}get flags(){return{continueFlag:this.continueFlag,mutatedFlag:this.mutatedFlag}}set flags({continueFlag:e,mutatedFlag:t}){e&&this.setContinue(),t&&this.setMutated()}reset(){}optimizeNextFromLeaves(e){if(sJ(e))return!1;const t=e.parent,{continueFlag:n}=this.run(e);return n&&this.optimizeNextFromLeaves(t),this.mutatedFlag}}class lJ extends uJ{}class fJ extends HG{constructor(e,t,n){super(e),this.dimensions=t,this.measures=n}clone(){return new fJ(null,new Set(this.dimensions),AP(this.measures))}get groupBy(){return this.dimensions}static makeFromEncoding(e,t){let n=!1;t.forEachFieldDef((e=>{e.aggregate&&(n=!0)}));const r={},i=new Set;return n?(t.forEachFieldDef(((e,n)=>{var a,o,s,u;const{aggregate:c,field:l}=e;if(c)if("count"===c)r["*"]=null!==(a=r["*"])&&void 0!==a?a:{},r["*"].count=new Set([NV(e,{forAs:!0})]);else{if(PL(c)||LL(c)){const e=PL(c)?"argmin":"argmax",t=c[e];r[t]=null!==(o=r[t])&&void 0!==o?o:{},r[t][e]=new Set([NV({op:e,field:t},{forAs:!0})])}else r[l]=null!==(s=r[l])&&void 0!==s?s:{},r[l][c]=new Set([NV(e,{forAs:!0})]);DU(n)&&"unaggregated"===t.scaleDomain(n)&&(r[l]=null!==(u=r[l])&&void 0!==u?u:{},r[l].min=new Set([NV({field:l,aggregate:"min"},{forAs:!0})]),r[l].max=new Set([NV({field:l,aggregate:"max"},{forAs:!0})]))}else!function(e,t,n,r){const i=hZ(r)?r.encoding[Kj(t)]:void 0;if(bV(n)&&hZ(r)&&cV(t,n,i,r.stack,r.markDef,r.config))e.add(NV(n,{})),e.add(NV(n,{suffix:"end"})),n.bin&&$V(n,t)&&e.add(NV(n,{binSuffix:"range"}));else if(t in kj){const n=function(e){switch(e){case nj:return"y";case ij:return"y2";case rj:return"x";case aj:return"x2"}}(t);e.add(r.getName(n))}else e.add(NV(n))}(i,n,e,t)})),i.size+UP(r).length===0?null:new fJ(e,i,r)):null}static makeFromTransform(e,t){var n,r,i;const a=new Set,o={};for(const e of t.aggregate){const{op:t,field:i,as:a}=e;t&&("count"===t?(o["*"]=null!==(n=o["*"])&&void 0!==n?n:{},o["*"].count=new Set([a||NV(e,{forAs:!0})])):(o[i]=null!==(r=o[i])&&void 0!==r?r:{},o[i][t]=new Set([a||NV(e,{forAs:!0})])))}for(const e of null!==(i=t.groupby)&&void 0!==i?i:[])a.add(e);return a.size+UP(o).length===0?null:new fJ(e,a,o)}merge(e){return function(e,t){if(e.size!==t.size)return!1;for(const n of e)if(!t.has(n))return!1;return!0}(this.dimensions,e.dimensions)?(function(e,t){var n;for(const r of UP(t)){const i=t[r];for(const t of UP(i))r in e?e[r][t]=new Set([...null!==(n=e[r][t])&&void 0!==n?n:[],...i[t]]):e[r]={[t]:i[t]}}}(this.measures,e.measures),!0):(function(...e){pq.debug(...e)}("different dimensions, cannot merge"),!1)}addDimensions(e){e.forEach(this.dimensions.add,this.dimensions)}dependentFields(){return new Set([...this.dimensions,...UP(this.measures)])}producedFields(){const e=new Set;for(const t of UP(this.measures))for(const n of UP(this.measures[t])){const r=this.measures[t][n];0===r.size?e.add(`${n}_${t}`):r.forEach(e.add,e)}return e}hash(){return`Aggregate ${MP({dimensions:this.dimensions,measures:this.measures})}`}assemble(){const e=[],t=[],n=[];for(const r of UP(this.measures))for(const i of UP(this.measures[r]))for(const a of this.measures[r][i])n.push(a),e.push(i),t.push("*"===r?null:JP(r));return{type:"aggregate",groupby:[...this.dimensions].map(JP),ops:e,fields:t,as:n}}}class pJ extends HG{constructor(e,t,n,r){super(e),this.model=t,this.name=n,this.data=r;for(const e of Oj){const n=t.facet[e];if(n){const{bin:r,sort:i}=n;this[e]=Object.assign({name:t.getName(`${e}_domain`),fields:[NV(n),...FU(r)?[NV(n,{binSuffix:"end"})]:[]]},tV(i)?{sortField:i}:Qz(i)?{sortIndexField:uY(n,e)}:{})}}this.childModel=t.child}hash(){let e="Facet";for(const t of Oj)this[t]&&(e+=` ${t.charAt(0)}:${MP(this[t])}`);return e}get fields(){var e;const t=[];for(const n of Oj)(null===(e=this[n])||void 0===e?void 0:e.fields)&&t.push(...this[n].fields);return t}dependentFields(){const e=new Set(this.fields);for(const t of Oj)this[t]&&(this[t].sortField&&e.add(this[t].sortField.field),this[t].sortIndexField&&e.add(this[t].sortIndexField));return e}producedFields(){return new Set}getSource(){return this.name}getChildIndependentFieldsWithStep(){const e={};for(const t of fU){const n=this.childModel.component.scales[t];if(n&&!n.merged){const r=n.get("type"),i=n.get("range");if(mW(r)&&Mq(i)){const n=GJ(KJ(this.childModel,t));n?e[t]=n:hq(`Unknown field for ${t}. Cannot calculate view size.`)}}}return e}assembleRowColumnHeaderData(e,t,n){const r={row:"y",column:"x"}[e],i=[],a=[],o=[];n&&n[r]&&(t?(i.push(`distinct_${n[r]}`),a.push("max")):(i.push(n[r]),a.push("distinct")),o.push(`distinct_${n[r]}`));const{sortField:s,sortIndexField:u}=this[e];if(s){const{op:e=JW,field:t}=s;i.push(t),a.push(e),o.push(NV(s,{forAs:!0}))}else u&&(i.push(u),a.push("max"),o.push(u));return{name:this[e].name,source:null!=t?t:this.data,transform:[Object.assign({type:"aggregate",groupby:this[e].fields},i.length?{fields:i,ops:a,as:o}:{})]}}assembleFacetHeaderData(e){var t,n;const{columns:r}=this.model.layout,{layoutHeaders:i}=this.model.component,a=[],o={};for(const e of pY){for(const r of hY){const a=null!==(t=i[e]&&i[e][r])&&void 0!==t?t:[];for(const t of a)if((null===(n=t.axes)||void 0===n?void 0:n.length)>0){o[e]=!0;break}}if(o[e]){const t=`length(data("${this.facet.name}"))`,n="row"===e?r?{signal:`ceil(${t} / ${r})`}:1:r?{signal:`min(${t}, ${r})`}:{signal:t};a.push({name:`${this.facet.name}_${e}`,transform:[{type:"sequence",start:0,stop:n}]})}}const{row:s,column:u}=o;return(s||u)&&a.unshift(this.assembleRowColumnHeaderData("facet",null,e)),a}assemble(){var e,t;const n=[];let r=null;const i=this.getChildIndependentFieldsWithStep(),{column:a,row:o,facet:s}=this;if(a&&o&&(i.x||i.y)){r=`cross_${this.column.name}_${this.row.name}`;const a=[].concat(null!==(e=i.x)&&void 0!==e?e:[],null!==(t=i.y)&&void 0!==t?t:[]),o=a.map((()=>"distinct"));n.push({name:r,source:this.data,transform:[{type:"aggregate",groupby:this.fields,fields:a,ops:o}]})}for(const e of[HL,$L])this[e]&&n.push(this.assembleRowColumnHeaderData(e,r,i));if(s){const e=this.assembleFacetHeaderData(i);e&&n.push(...e)}return n}}function hJ(e){return"'"===e[0]&&"'"===e[e.length-1]||'"'===e[0]&&'"'===e[e.length-1]?e.slice(1,-1):e}function dJ(e){const t={};return CP(e.filter,(e=>{var n;if(qq(e)){let r=null;Rq(e)?r=e.equal:jq(e)?r=e.range[0]:Uq(e)&&(r=(null!==(n=e.oneOf)&&void 0!==n?n:e.in)[0]),r&&(dq(r)?t[e.field]="date":cP(r)?t[e.field]="number":lP(r)&&(t[e.field]="string")),e.timeUnit&&(t[e.field]="date")}})),t}class mJ extends HG{constructor(e,t){super(e),this._parse=t}clone(){return new mJ(null,AP(this._parse))}hash(){return`Parse ${MP(this._parse)}`}static makeExplicit(e,t,n){let r={};const i=t.data;return!GH(i)&&i&&i.format&&i.format.parse&&(r=i.format.parse),this.makeWithAncestors(e,r,{},n)}static makeWithAncestors(e,t,n,r){for(const e of UP(n)){const t=r.getWithExplicit(e);void 0!==t.value&&(t.explicit||t.value===n[e]||"derived"===t.value||"flatten"===n[e]?delete n[e]:hq(GU(e,n[e],t.value)))}for(const e of UP(t)){const n=r.get(e);void 0!==n&&(n===t[e]?delete t[e]:hq(GU(e,t[e],n)))}const i=new zH(t,n);r.copyAll(i);const a={};for(const e of UP(i.combine())){const t=i.get(e);null!==t&&(a[e]=t)}return 0===UP(a).length||r.parseNothing?null:new mJ(e,a)}get parse(){return this._parse}merge(e){this._parse=Object.assign(Object.assign({},this._parse),e.parse),e.remove()}assembleFormatParse(){const e={};for(const t of UP(this._parse)){const n=this._parse[t];1===eL(t)&&(e[t]=n)}return e}producedFields(){return new Set(UP(this._parse))}dependentFields(){return new Set(UP(this._parse))}assembleTransforms(e=!1){return UP(this._parse).filter((t=>!e||eL(t)>1)).map((e=>{const t=function(e,t){const n=XP(e);return"number"===t?`toNumber(${n})`:"boolean"===t?`toBoolean(${n})`:"string"===t?`toString(${n})`:"date"===t?`toDate(${n})`:"flatten"===t?n:0===t.indexOf("date:")?`timeParse(${n},'${hJ(t.slice(5,t.length))}')`:0===t.indexOf("utc:")?`utcParse(${n},'${hJ(t.slice(4,t.length))}')`:(hq(`Unrecognized parse "${t}".`),null)}(e,this._parse[e]);return t?{type:"formula",expr:t,as:QP(e)}:null})).filter((e=>null!==e))}}class gJ extends HG{clone(){return new gJ(null)}constructor(e){super(e)}dependentFields(){return new Set}producedFields(){return new Set([j$])}hash(){return"Identifier"}assemble(){return{type:"identifier",as:j$}}}class vJ extends HG{constructor(e,t){super(e),this.transform=t}clone(){return new vJ(null,AP(this.transform))}addDimensions(e){this.transform.groupby=BP(this.transform.groupby.concat(e),(e=>e))}dependentFields(){const e=new Set;return this.transform.groupby&&this.transform.groupby.forEach(e.add,e),this.transform.joinaggregate.map((e=>e.field)).filter((e=>void 0!==e)).forEach(e.add,e),e}producedFields(){return new Set(this.transform.joinaggregate.map(this.getDefaultName))}getDefaultName(e){var t;return null!==(t=e.as)&&void 0!==t?t:NV(e)}hash(){return`JoinAggregateTransform ${MP(this.transform)}`}assemble(){const e=[],t=[],n=[];for(const r of this.transform.joinaggregate)t.push(r.op),n.push(this.getDefaultName(r)),e.push(void 0===r.field?null:r.field);const r=this.transform.groupby;return Object.assign({type:"joinaggregate",as:n,ops:t,fields:e},void 0!==r?{groupby:r}:{})}}class yJ extends HG{constructor(e,t){super(e),this._stack=t}clone(){return new yJ(null,AP(this._stack))}static makeFromTransform(e,t){const{stack:n,groupby:r,as:i,offset:a="zero"}=t,o=[],s=[];if(void 0!==t.sort)for(const e of t.sort)o.push(e.field),s.push(tL(e.order,"ascending"));const u={field:o,order:s};let c;return c=function(e){return Qz(e)&&e.every((e=>lP(e)))&&e.length>1}(i)?i:lP(i)?[i,i+"_end"]:[t.stack+"_start",t.stack+"_end"],new yJ(e,{stackField:n,groupby:r,offset:a,sort:u,facetby:[],as:c})}static makeFromEncoding(e,t){const n=t.stack,{encoding:r}=t;if(!n)return null;const{groupbyChannel:i,fieldChannel:a,offset:o,impute:s}=n;let u;i&&(u=RV(r[i]));const c=function(e){return e.stack.stackBy.reduce(((e,t)=>{const n=NV(t.fieldDef);return n&&e.push(n),e}),[])}(t),l=t.encoding.order;let f;return f=Qz(l)||hV(l)?n$(l):c.reduce(((e,t)=>(e.field.push(t),e.order.push("y"===a?"descending":"ascending"),e)),{field:[],order:[]}),new yJ(e,{dimensionFieldDef:u,stackField:t.vgField(a),facetby:[],stackby:c,sort:f,offset:o,impute:s,as:[t.vgField(a,{suffix:"start",forAs:!0}),t.vgField(a,{suffix:"end",forAs:!0})]})}get stack(){return this._stack}addDimensions(e){this._stack.facetby.push(...e)}dependentFields(){const e=new Set;return e.add(this._stack.stackField),this.getGroupbyFields().forEach(e.add,e),this._stack.facetby.forEach(e.add,e),this._stack.sort.field.forEach(e.add,e),e}producedFields(){return new Set(this._stack.as)}hash(){return`Stack ${MP(this._stack)}`}getGroupbyFields(){const{dimensionFieldDef:e,impute:t,groupby:n}=this._stack;return e?e.bin?t?[NV(e,{binSuffix:"mid"})]:[NV(e,{}),NV(e,{binSuffix:"end"})]:[NV(e)]:null!=n?n:[]}assemble(){const e=[],{facetby:t,dimensionFieldDef:n,stackField:r,stackby:i,sort:a,offset:o,impute:s,as:u}=this._stack;if(s&&n){const{band:a=.5,bin:o}=n;o&&e.push({type:"formula",expr:`${a}*`+NV(n,{expr:"datum"})+`+${1-a}*`+NV(n,{expr:"datum",binSuffix:"end"}),as:NV(n,{binSuffix:"mid",forAs:!0})}),e.push({type:"impute",field:r,groupby:[...i,...t],key:NV(n,{binSuffix:"mid"}),method:"value",value:0})}return e.push({type:"stack",groupby:[...this.getGroupbyFields(),...t],field:r,sort:a,as:u,offset:o}),e}}class bJ extends HG{constructor(e,t){super(e),this.transform=t}clone(){return new bJ(null,AP(this.transform))}addDimensions(e){this.transform.groupby=BP(this.transform.groupby.concat(e),(e=>e))}dependentFields(){var e,t;const n=new Set;return(null!==(e=this.transform.groupby)&&void 0!==e?e:[]).forEach(n.add,n),(null!==(t=this.transform.sort)&&void 0!==t?t:[]).forEach((e=>n.add(e.field))),this.transform.window.map((e=>e.field)).filter((e=>void 0!==e)).forEach(n.add,n),n}producedFields(){return new Set(this.transform.window.map(this.getDefaultName))}getDefaultName(e){var t;return null!==(t=e.as)&&void 0!==t?t:NV(e)}hash(){return`WindowTransform ${MP(this.transform)}`}assemble(){var e;const t=[],n=[],r=[],i=[];for(const e of this.transform.window)n.push(e.op),r.push(this.getDefaultName(e)),i.push(void 0===e.param?null:e.param),t.push(void 0===e.field?null:e.field);const a=this.transform.frame,o=this.transform.groupby;if(a&&null===a[0]&&null===a[1]&&n.every((e=>jL(e))))return Object.assign({type:"joinaggregate",as:r,ops:n,fields:t},void 0!==o?{groupby:o}:{});const s=[],u=[];if(void 0!==this.transform.sort)for(const t of this.transform.sort)s.push(t.field),u.push(null!==(e=t.order)&&void 0!==e?e:"ascending");const c={field:s,order:u},l=this.transform.ignorePeers;return Object.assign(Object.assign(Object.assign({type:"window",params:i,as:r,ops:n,fields:t,sort:c},void 0!==l?{ignorePeers:l}:{}),void 0!==o?{groupby:o}:{}),void 0!==a?{frame:a}:{})}}class xJ extends cJ{run(e){const t=e.parent;if(e instanceof mJ){if(sJ(t))return this.flags;if(t.numChildren()>1)return this.setContinue(),this.flags;if(t instanceof mJ)this.setMutated(),t.merge(e);else{if(LP(t.producedFields(),e.dependentFields()))return this.setContinue(),this.flags;this.setMutated(),e.swapWithParent()}}return this.setContinue(),this.flags}}class wJ extends lJ{mergeNodes(e,t){const n=t.shift();for(const r of t)e.removeChild(r),r.parent=n,r.remove()}run(e){const t=e.children.map((e=>e.hash())),n={};for(let r=0;r<t.length;r++)void 0===n[t[r]]?n[t[r]]=[e.children[r]]:n[t[r]].push(e.children[r]);for(const t of UP(n))n[t].length>1&&(this.setMutated(),this.mergeNodes(e,n[t]));for(const t of e.children)this.run(t);return this.mutatedFlag}}class EJ extends cJ{run(e){return e instanceof GG||e.numChildren()>0||e instanceof pJ||(this.setMutated(),e.remove()),this.flags}}class CJ extends cJ{constructor(){super(...arguments),this.fields=new Set,this.prev=null}run(e){if(this.setContinue(),e instanceof KG){const t=e.producedFields();zP(t,this.fields)?(this.setMutated(),this.prev.remove()):this.fields=new Set([...this.fields,...t]),this.prev=e}return this.flags}reset(){this.fields.clear()}}class SJ extends cJ{run(e){this.setContinue();const t=e.parent.children.filter((e=>e instanceof KG)),n=t.pop();for(const e of t)this.setMutated(),n.merge(e);return this.flags}}function NJ(e){if(e instanceof pJ)if(1!==e.numChildren()||e.children[0]instanceof GG){const n=e.model.component.data.main;AJ(n);const r=(t=e,function e(n){if(!(n instanceof pJ)){const r=n.clone();if(r instanceof GG){const e=IJ+r.getSource();r.setSource(e),t.model.component.data.outputNodes[e]=r}else(r instanceof fJ||r instanceof yJ||r instanceof bJ||r instanceof vJ)&&r.addDimensions(t.fields);for(const t of n.children.flatMap(e))t.parent=r;return[r]}return n.children.flatMap(e)}),i=e.children.map(r).flat();for(const e of i)e.parent=n}else{const t=e.children[0];(t instanceof fJ||t instanceof yJ||t instanceof bJ||t instanceof vJ)&&t.addDimensions(e.fields),t.swapWithParent(),NJ(e)}else e.children.map(NJ);var t}function AJ(e){if(e instanceof GG&&e.type===JH&&1===e.numChildren()){const t=e.children[0];t instanceof pJ||(t.swapWithParent(),AJ(e))}}class kJ extends lJ{constructor(){super()}run(e){e instanceof GG&&!e.isRequired()&&(this.setMutated(),e.remove());for(const t of e.children)this.run(t);return this.mutatedFlag}}class DJ extends lJ{constructor(e){super(),this.requiresSelectionId=e&&IK(e)}run(e){e instanceof gJ&&(this.requiresSelectionId&&(sJ(e.parent)||e.parent instanceof fJ||e.parent instanceof mJ)||(this.setMutated(),e.remove()));for(const t of e.children)this.run(t);return this.mutatedFlag}}class _J extends cJ{run(e){const t=e.parent,n=[...t.children],r=t.children.filter((e=>e instanceof mJ));if(t.numChildren()>1&&r.length>=1){const e={},i=new Set;for(const t of r){const n=t.parse;for(const t of UP(n))t in e?e[t]!==n[t]&&i.add(t):e[t]=n[t]}for(const t of i)delete e[t];if(!jP(e)){this.setMutated();const r=new mJ(t,e);for(const i of n){if(i instanceof mJ)for(const t of UP(e))delete i.parse[t];t.removeChild(i),i.parent=r,i instanceof mJ&&0===UP(i.parse).length&&i.remove()}}}return this.setContinue(),this.flags}}class MJ extends cJ{run(e){const t=e.parent,n=t.children.filter((e=>e instanceof fJ)),r={};for(const e of n){const t=MP(e.groupBy);t in r||(r[t]=[]),r[t].push(e)}for(const e of UP(r)){const n=r[e];if(n.length>1){const e=n.pop();for(const r of n)e.merge(r)&&(t.removeChild(r),r.parent=e,r.remove(),this.setMutated())}}return this.setContinue(),this.flags}}class TJ extends cJ{constructor(e){super(),this.model=e}run(e){const t=e.parent,n=!(sJ(t)||t instanceof qX||t instanceof mJ||t instanceof gJ),r=[],i=[];for(const e of t.children)e instanceof nJ&&(n&&!LP(t.producedFields(),e.dependentFields())?r.push(e):i.push(e));if(r.length>0){const e=r.pop();for(const t of r)e.merge(t,this.model.renameSignal.bind(this.model));this.setMutated(),t instanceof nJ?t.merge(e,this.model.renameSignal.bind(this.model)):e.swapWithParent()}if(i.length>1){const e=i.pop();for(const t of i)e.merge(t,this.model.renameSignal.bind(this.model));this.setMutated()}return this.setContinue(),this.flags}}class OJ extends cJ{run(e){const t=e.parent,n=[...t.children];if(!IP(n,(e=>e instanceof GG))||t.numChildren()<=1)return this.setContinue(),this.flags;const r=[];let i;for(const e of n)if(e instanceof GG){let n=e;for(;1===n.numChildren();){const e=n.children[0];if(!(e instanceof GG))break;n=e}r.push(...n.children),i?(t.removeChild(e),e.parent=i.parent,i.parent.removeChild(i),i.parent=n,this.setMutated()):i=n}else r.push(e);if(r.length){this.setMutated();for(const e of r)e.parent.removeChild(e),e.parent=i}return this.setContinue(),this.flags}}const IJ="scale_";function FJ(e){const t=[];function n(e){if(0===e.numChildren())t.push(e);else for(const t of e.children)n(t)}for(const t of e)n(t);return t}function RJ(e){return e}function BJ(e,t){return t.map((t=>{if(e instanceof cJ){const n=e.optimizeNextFromLeaves(t);return e.reset(),n}return e.run(t)})).some(RJ)}function zJ(e,t){let n=e.sources;const r=new Set;return r.add(BJ(new kJ,n)),r.add(BJ(new DJ(t),n)),n=n.filter((e=>e.numChildren()>0)),r.add(BJ(new EJ,FJ(n))),n=n.filter((e=>e.numChildren()>0)),r.add(BJ(new xJ,FJ(n))),r.add(BJ(new TJ(t),FJ(n))),r.add(BJ(new CJ,FJ(n))),r.add(BJ(new _J,FJ(n))),r.add(BJ(new MJ,FJ(n))),r.add(BJ(new SJ,FJ(n))),r.add(BJ(new wJ,n)),r.add(BJ(new OJ,FJ(n))),e.sources=n,r.has(!0)}class PJ{constructor(e){Object.defineProperty(this,"signal",{enumerable:!0,get:e})}static fromName(e,t){return new PJ((()=>e(t)))}}function LJ(e){hZ(e)?function(e){const t=e.component.scales;for(const n of UP(t)){const r=jJ(e,n);if(t[n].setWithExplicit("domains",r),VJ(e,n),e.component.data.isFaceted){let t=e;for(;!dZ(t)&&t.parent;)t=t.parent;if("shared"===t.component.resolve.scale[n])for(const e of r.value)Tq(e)&&(e.data=IJ+e.data.replace(IJ,""))}}}(e):function(e){for(const t of e.children)LJ(t);const t=e.component.scales;for(const n of UP(t)){let r,i=null;for(const t of e.children){const e=t.component.scales[n];if(e){r=void 0===r?e.getWithExplicit("domains"):qH(r,e.getWithExplicit("domains"),"domains","scale",HJ);const t=e.get("selectionExtent");i&&t&&i.selection!==t.selection&&hq("The same selection must be used to override scale domains in a layered view."),i=t}}t[n].setWithExplicit("domains",r),i&&t[n].set("selectionExtent",i,!0)}}(e)}function jJ(e,t){const n=e.getScaleComponent(t).get("type"),{encoding:r}=e,i=function(e,t,n,r){if("unaggregated"===e){const{valid:e,reason:r}=$J(t,n);if(!e)return void hq(r)}else if(void 0===e&&r.useUnaggregatedDomain){const{valid:e}=$J(t,n);if(e)return"unaggregated"}return e}(e.scaleDomain(t),e.typedFieldDef(t),n,e.config.scale);return i!==e.scaleDomain(t)&&(e.specifiedScales[t]=Object.assign(Object.assign({},e.specifiedScales[t]),{domain:i})),"x"===t&&BV(r.x2)?BV(r.x)?qH(qJ(n,i,e,"x"),qJ(n,i,e,"x2"),"domain","scale",HJ):qJ(n,i,e,"x2"):"y"===t&&BV(r.y2)?BV(r.y)?qH(qJ(n,i,e,"y"),qJ(n,i,e,"y2"),"domain","scale",HJ):qJ(n,i,e,"y2"):qJ(n,i,e,t)}function UJ(e,t,n){var r;const i=null===(r=Dq(n))||void 0===r?void 0:r.unit;return"temporal"===t||i?function(e,t,n){return e.map((e=>({signal:`{data: ${WV(e,{timeUnit:n,type:t})}}`})))}(e,t,i):[e]}function qJ(e,t,n,r){const{encoding:i}=n,a=BV(i[r]),{type:o}=a,s=a.timeUnit;if(function(e){return e&&e.unionWith}(t)){const i=qJ(e,void 0,n,r),a=UJ(t.unionWith,o,s);return PH([...i.value,...a])}if(_q(t))return PH([t]);if(t&&"unaggregated"!==t&&!bW(t))return PH(UJ(t,o,s));const u=n.stack;if(u&&r===u.fieldChannel){if("normalize"===u.offset)return LH([[0,1]]);const e=n.requestDataName(JH);return LH([{data:e,field:n.vgField(r,{suffix:"start"})},{data:e,field:n.vgField(r,{suffix:"end"})}])}const c=DU(r)&&hV(a)?function(e,t,n){if(!mW(n))return;const r=e.fieldDef(t),i=r.sort;if(nV(i))return{op:"min",field:uY(r,t),order:"ascending"};const{stack:a}=e,o=a?[...a.groupbyField?[a.groupbyField]:[],...a.stackBy.map((e=>e.fieldDef.field))]:void 0;if(tV(i))return WJ(i,a&&!OP(o,i.field));if(eV(i)){const{encoding:t,order:n}=i,r=e.fieldDef(t),{aggregate:s,field:u}=r,c=a&&!OP(o,u);if(PL(s)||LL(s))return WJ({field:NV(r),order:n},c);if(jL(s)||!s)return WJ({op:s,field:u,order:n},c)}else{if("descending"===i)return{op:"min",field:e.vgField(t),order:"descending"};if(OP(["ascending",void 0],i))return!0}}(n,r,e):void 0;if(mV(a))return LH(UJ([a.datum],o,s));const l=a;if("unaggregated"===t){const e=n.requestDataName(JH),{field:t}=a;return LH([{data:e,field:NV({field:t,aggregate:"min"})},{data:e,field:NV({field:t,aggregate:"max"})}])}if(FU(l.bin)){if(mW(e))return 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hZ(e){return"unit"===(null==e?void 0:e.type)}function dZ(e){return"facet"===(null==e?void 0:e.type)}function mZ(e){return"concat"===(null==e?void 0:e.type)}function gZ(e){return"layer"===(null==e?void 0:e.type)}class vZ{constructor(e,t,n,r,i,a,o){var s,u;this.type=t,this.parent=n,this.config=i,this.view=o,this.children=[],this.correctDataNames=e=>(e.from&&e.from.data&&(e.from.data=this.lookupDataSource(e.from.data)),e.from&&e.from.facet&&e.from.facet.data&&(e.from.facet.data=this.lookupDataSource(e.from.facet.data)),e),this.parent=n,this.config=i,this.name=null!==(s=e.name)&&void 0!==s?s:r,this.title=GV(e.title)?{text:e.title}:e.title,this.scaleNameMap=n?n.scaleNameMap:new pZ,this.projectionNameMap=n?n.projectionNameMap:new pZ,this.signalNameMap=n?n.signalNameMap:new pZ,this.data=e.data,this.description=e.description,this.transforms=(null!==(u=e.transform)&&void 0!==u?u:[]).map((e=>QH(e)?{filter:SP(e.filter,Hq)}:e)),this.layout="layer"===t||"unit"===t?{}:function(e,t,n){var r,i;const a=n[t],o={},{spacing:s,columns:u}=a;void 0!==s&&(o.spacing=s),void 0!==u&&(aV(e)&&!rV(e.facet)||V$(e))&&(o.columns=u),$$(e)&&(o.columns=1);for(const t of X$)if(void 0!==e[t])if("spacing"===t){const n=e[t];o[t]=cP(n)?n:{row:null!==(r=n.row)&&void 0!==r?r:s,column:null!==(i=n.column)&&void 0!==i?i:s}}else o[t]=e[t];return o}(e,t,i),this.component={data:{sources:n?n.component.data.sources:[],outputNodes:n?n.component.data.outputNodes:{},outputNodeRefCounts:n?n.component.data.outputNodeRefCounts:{},isFaceted:aV(e)||n&&n.component.data.isFaceted&&void 0===e.data},layoutSize:new zH,layoutHeaders:{row:{},column:{},facet:{}},mark:null,resolve:Object.assign({scale:{},axis:{},legend:{}},a?AP(a):{}),selection:null,scales:null,projection:null,axes:{},legends:{}}}get width(){return this.getSizeSignalRef("width")}get height(){return this.getSizeSignalRef("height")}parse(){this.parseScale(),this.parseLayoutSize(),this.renameTopLevelLayoutSizeSignal(),this.parseSelections(),this.parseProjection(),this.parseData(),this.parseAxesAndHeaders(),this.parseLegends(),this.parseMarkGroup()}parseScale(){!function(e,{ignoreRange:t}={}){lZ(e),LJ(e);for(const t of AW)oZ(e,t);t||uZ(e)}(this)}parseProjection(){ZY(this)}renameTopLevelLayoutSizeSignal(){"width"!==this.getName("width")&&this.renameSignal(this.getName("width"),"width"),"height"!==this.getName("height")&&this.renameSignal(this.getName("height"),"height")}parseLegends(){WY(this)}assembleGroupStyle(){var e,t;if("unit"===this.type||"layer"===this.type)return null!==(t=null===(e=this.view)||void 0===e?void 0:e.style)&&void 0!==t?t:"cell"}assembleEncodeFromView(e){const{style:t}=e,n=hP(e,["style"]),r={};for(const e of UP(n)){const t=n[e];void 0!==t&&(r[e]=KV(t))}return r}assembleGroupEncodeEntry(e){let t={};return this.view&&(t=this.assembleEncodeFromView(this.view)),e||(this.description&&(t.description=KV(this.description)),"unit"!==this.type&&"layer"!==this.type)?jP(t)?void 0:t:Object.assign({width:this.getSizeSignalRef("width"),height:this.getSizeSignalRef("height")},null!=t?t:{})}assembleLayout(){if(!this.layout)return;const e=this.layout,{spacing:t}=e,n=hP(e,["spacing"]),{component:r,config:i}=this,a=function(e,t){const n={};for(const r of Oj){const i=e[r];if(null==i?void 0:i.facetFieldDef){const{titleAnchor:e,titleOrient:a}=fY(["titleAnchor","titleOrient"],i.facetFieldDef,t,r),o=cY(r,a),s=EY(e,o);void 0!==s&&(n[o]=s)}}return jP(n)?void 0:n}(r.layoutHeaders,i);return Object.assign(Object.assign(Object.assign({padding:t},this.assembleDefaultLayout()),n),a?{titleBand:a}:{})}assembleDefaultLayout(){return{}}assembleHeaderMarks(){const{layoutHeaders:e}=this.component;let t=[];for(const n of Oj)e[n].title&&t.push(dY(this,n));for(const e of pY)t=t.concat(vY(this,e));return t}assembleAxes(){return function(e,t){const{x:n=[],y:r=[]}=e;return[...n.map((e=>GX(e,"grid",t))),...r.map((e=>GX(e,"grid",t))),...n.map((e=>GX(e,"main",t))),...r.map((e=>GX(e,"main",t)))].filter((e=>e))}(this.component.axes,this.config)}assembleLegends(){return KY(this)}assembleProjections(){return gZ(e=this)||mZ(e)?function(e){return e.children.reduce(((e,t)=>e.concat(t.assembleProjections())),XY(e))}(e):XY(e);var e}assembleTitle(){var e,t,n;const r=null!==(e=this.title)&&void 0!==e?e:{},{encoding:i}=r,a=hP(r,["encoding"]),o=Object.assign(Object.assign(Object.assign({},HV(this.config.title).nonMark),a),i?{encode:{update:i}}:{});if(o.text)return OP(["unit","layer"],this.type)?OP(["middle",void 0],o.anchor)&&(o.frame=null!==(t=o.frame)&&void 0!==t?t:"group"):o.anchor=null!==(n=o.anchor)&&void 0!==n?n:"start",jP(o)?void 0:o}assembleGroup(e=[]){const t={};(e=e.concat(this.assembleSignals())).length>0&&(t.signals=e);const n=this.assembleLayout();n&&(t.layout=n),t.marks=[].concat(this.assembleHeaderMarks(),this.assembleMarks());const r=!this.parent||dZ(this.parent)?XJ(this):[];r.length>0&&(t.scales=r);const i=this.assembleAxes();i.length>0&&(t.axes=i);const a=this.assembleLegends();return a.length>0&&(t.legends=a),t}getName(e){return $P((this.name?this.name+"_":"")+e)}requestDataName(e){var t;const n=this.getName(e),r=this.component.data.outputNodeRefCounts;return r[n]=(null!==(t=r[n])&&void 0!==t?t:0)+1,n}getSizeSignalRef(e){if(dZ(this.parent)){const t=mU(DY(e)),n=this.component.scales[t];if(n&&!n.merged){const e=n.get("type"),r=n.get("range");if(mW(e)&&Mq(r)){const e=n.get("name"),r=GJ(KJ(this,t));return r?{signal:kY(e,n,NV({aggregate:"distinct",field:r},{expr:"datum"}))}:(hq(`Unknown field for ${t}. Cannot calculate view size.`),null)}}}return{signal:this.signalNameMap.get(this.getName(e))}}lookupDataSource(e){const t=this.component.data.outputNodes[e];return t?t.getSource():e}getSignalName(e){return this.signalNameMap.get(e)}renameSignal(e,t){this.signalNameMap.rename(e,t)}renameScale(e,t){this.scaleNameMap.rename(e,t)}renameProjection(e,t){this.projectionNameMap.rename(e,t)}scaleName(e,t){return t?this.getName(e):Wj(e)&&DU(e)&&this.component.scales[e]||this.scaleNameMap.has(this.getName(e))?this.scaleNameMap.get(this.getName(e)):void 0}projectionName(e){return e?this.getName("projection"):this.component.projection&&!this.component.projection.merged||this.projectionNameMap.has(this.getName("projection"))?this.projectionNameMap.get(this.getName("projection")):void 0}getScaleComponent(e){if(!this.component.scales)throw new Error("getScaleComponent cannot be called before parseScale(). Make sure you have called parseScale or use parseUnitModelWithScale().");const t=this.component.scales[e];return t&&!t.merged?t:this.parent?this.parent.getScaleComponent(e):void 0}getSelectionComponent(e,t){let n=this.component.selection[e];if(!n&&this.parent&&(n=this.parent.getSelectionComponent(e,t)),!n)throw new Error(`Cannot find a selection named "${t}".`);return n}hasAxisOrientSignalRef(){var e,t;return(null===(e=this.component.axes.x)||void 0===e?void 0:e.some((e=>e.hasOrientSignalRef())))||(null===(t=this.component.axes.y)||void 0===t?void 0:t.some((e=>e.hasOrientSignalRef())))}}class yZ extends vZ{vgField(e,t={}){const n=this.fieldDef(e);if(n)return NV(n,t)}reduceFieldDef(e,t){return p$(this.getMapping(),((t,n,r)=>{const i=RV(n);return i?e(t,i,r):t}),t)}forEachFieldDef(e,t){f$(this.getMapping(),((t,n)=>{const r=RV(t);r&&e(r,n)}),t)}}class bZ extends HG{constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=AP(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:"value",null!==(i=a[1])&&void 0!==i?i:"density"]}clone(){return new bZ(null,AP(this.transform))}dependentFields(){var e;return new Set([this.transform.density,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${MP(this.transform)}`}assemble(){const e=this.transform,{density:t}=e,n=hP(e,["density"]);return Object.assign({type:"kde",field:t},n)}}class xZ extends HG{constructor(e,t){super(e),this.filter=t}clone(){return new xZ(null,Object.assign({},this.filter))}static make(e,t){const{config:n,mark:r,markDef:i}=t;if("filter"!==ZV("invalid",i,n))return null;const a=t.reduceFieldDef(((e,n,i)=>{const a=DU(i)&&t.getScaleComponent(i);return a&&gW(a.get("type"))&&"count"!==n.aggregate&&!kL(r)&&(e[n.field]=n),e}),{});return UP(a).length?new xZ(e,a):null}dependentFields(){return new Set(UP(this.filter))}producedFields(){return new Set}hash(){return`FilterInvalid ${MP(this.filter)}`}assemble(){const e=UP(this.filter).reduce(((e,t)=>{const n=this.filter[t],r=NV(n,{expr:"datum"});return null!==n&&("temporal"===n.type?e.push(`(isDate(${r}) || (isValid(${r}) && isFinite(+${r})))`):"quantitative"===n.type&&(e.push(`isValid(${r})`),e.push(`isFinite(+${r})`))),e}),[]);return e.length>0?{type:"filter",expr:e.join(" && ")}:null}}class wZ extends HG{constructor(e,t){super(e),this.transform=t,this.transform=AP(t);const{flatten:n,as:r=[]}=this.transform;this.transform.as=n.map(((e,t)=>{var n;return null!==(n=r[t])&&void 0!==n?n:e}))}clone(){return new wZ(this.parent,AP(this.transform))}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${MP(this.transform)}`}assemble(){const{flatten:e,as:t}=this.transform;return{type:"flatten",fields:e,as:t}}}class EZ extends HG{constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=AP(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:"key",null!==(i=a[1])&&void 0!==i?i:"value"]}clone(){return new EZ(null,AP(this.transform))}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${MP(this.transform)}`}assemble(){const{fold:e,as:t}=this.transform;return{type:"fold",fields:e,as:t}}}class CZ extends HG{constructor(e,t,n,r){super(e),this.fields=t,this.geojson=n,this.signal=r}clone(){return new CZ(null,AP(this.fields),this.geojson,this.signal)}static parseAll(e,t){if(t.component.projection&&!t.component.projection.isFit)return e;let n=0;for(const r of[[rj,nj],[aj,ij]]){const i=r.map((e=>{const n=BV(t.encoding[e]);return hV(n)?n.field:mV(n)?{expr:`${n.datum}`}:xV(n)?{expr:`${n.value}`}:void 0}));(i[0]||i[1])&&(e=new CZ(e,i,null,t.getName("geojson_"+n++)))}if(t.channelHasField(cj)){const r=t.typedFieldDef(cj);r.type===Zq&&(e=new CZ(e,null,r.field,t.getName("geojson_"+n++)))}return e}dependentFields(){var e;const t=(null!==(e=this.fields)&&void 0!==e?e:[]).filter(lP);return new Set([...this.geojson?[this.geojson]:[],...t])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${MP(this.fields)}`}assemble(){return Object.assign(Object.assign(Object.assign({type:"geojson"},this.fields?{fields:this.fields}:{}),this.geojson?{geojson:this.geojson}:{}),{signal:this.signal})}}class SZ extends HG{constructor(e,t,n,r){super(e),this.projection=t,this.fields=n,this.as=r}clone(){return new SZ(null,this.projection,AP(this.fields),AP(this.as))}static parseAll(e,t){if(!t.projectionName())return e;for(const n of[[rj,nj],[aj,ij]]){const r=n.map((e=>{const n=BV(t.encoding[e]);return hV(n)?n.field:mV(n)?{expr:`${n.datum}`}:xV(n)?{expr:`${n.value}`}:void 0})),i=n[0]===aj?"2":"";(r[0]||r[1])&&(e=new SZ(e,t.projectionName(),r,[t.getName("x"+i),t.getName("y"+i)]))}return e}dependentFields(){return new Set(this.fields.filter(lP))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${MP(this.fields)} ${MP(this.as)}`}assemble(){return{type:"geopoint",projection:this.projection,fields:this.fields,as:this.as}}}class NZ extends HG{constructor(e,t){super(e),this.transform=t}clone(){return new NZ(null,AP(this.transform))}dependentFields(){var e;return new Set([this.transform.impute,this.transform.key,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set([this.transform.impute])}processSequence(e){const{start:t=0,stop:n,step:r}=e;return{signal:`sequence(${[t,n,...r?[r]:[]].join(",")})`}}static makeFromTransform(e,t){return new NZ(e,t)}static makeFromEncoding(e,t){const n=t.encoding,r=n.x,i=n.y;if(hV(r)&&hV(i)){const a=r.impute?r:i.impute?i:void 0;if(void 0===a)return;const o=r.impute?i:i.impute?r:void 0,{method:s,value:u,frame:c,keyvals:l}=a.impute,f=h$(t.mark,n);return new NZ(e,Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({impute:a.field,key:o.field},s?{method:s}:{}),void 0!==u?{value:u}:{}),c?{frame:c}:{}),void 0!==l?{keyvals:l}:{}),f.length?{groupby:f}:{}))}return null}hash(){return`Impute ${MP(this.transform)}`}assemble(){const{impute:e,key:t,keyvals:n,method:r,groupby:i,value:a,frame:o=[null,null]}=this.transform,s=Object.assign(Object.assign(Object.assign(Object.assign({type:"impute",field:e,key:t},n?{keyvals:(u=n,void 0!==(null==u?void 0:u.stop)?this.processSequence(n):n)}:{}),{method:"value"}),i?{groupby:i}:{}),{value:r&&"value"!==r?null:a});var u;return r&&"value"!==r?[s,Object.assign({type:"window",as:[`imputed_${e}_value`],ops:[r],fields:[e],frame:o,ignorePeers:!1},i?{groupby:i}:{}),{type:"formula",expr:`datum.${e} === null ? datum.imputed_${e}_value : datum.${e}`,as:e}]:[s]}}class AZ extends HG{constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=AP(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:t.on,null!==(i=a[1])&&void 0!==i?i:t.loess]}clone(){return new AZ(null,AP(this.transform))}dependentFields(){var e;return new Set([this.transform.loess,this.transform.on,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`LoessTransform ${MP(this.transform)}`}assemble(){const e=this.transform,{loess:t,on:n}=e,r=hP(e,["loess","on"]);return Object.assign({type:"loess",x:n,y:t},r)}}class kZ extends HG{constructor(e,t,n){super(e),this.transform=t,this.secondary=n}clone(){return new kZ(null,AP(this.transform),this.secondary)}static make(e,t,n,r){const i=t.component.data.sources,{from:a}=n;let o=null;if(function(e){return"data"in e}(a)){let e=qZ(a.data,i);e||(e=new rJ(a.data),i.push(e));const n=t.getName(`lookup_${r}`);o=new GG(e,n,"lookup",t.component.data.outputNodeRefCounts),t.component.data.outputNodes[n]=o}else if(function(e){return"selection"in e}(a)){const e=a.selection;if(n=Object.assign({as:e},n),o=t.getSelectionComponent($P(e),e).materialized,!o)throw new Error(`Cannot define and lookup the "${e}" selection in the same view. Try moving the lookup into a second, layered view?`)}return new kZ(e,n,o.getSource())}dependentFields(){return new Set([this.transform.lookup])}producedFields(){return new Set(this.transform.as?aP(this.transform.as):this.transform.from.fields)}hash(){return`Lookup ${MP({transform:this.transform,secondary:this.secondary})}`}assemble(){let e;if(this.transform.from.fields)e=Object.assign({values:this.transform.from.fields},this.transform.as?{as:aP(this.transform.as)}:{});else{let t=this.transform.as;lP(t)||(hq('If "from.fields" is not specified, "as" has to be a string that specifies the key to be used for the data from the secondary source.'),t="_lookup"),e={as:[t]}}return Object.assign(Object.assign({type:"lookup",from:this.secondary,key:this.transform.from.key,fields:[this.transform.lookup]},e),this.transform.default?{default:this.transform.default}:{})}}class DZ extends HG{constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=AP(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:"prob",null!==(i=a[1])&&void 0!==i?i:"value"]}clone(){return new DZ(null,AP(this.transform))}dependentFields(){var e;return new Set([this.transform.quantile,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`QuantileTransform ${MP(this.transform)}`}assemble(){const e=this.transform,{quantile:t}=e,n=hP(e,["quantile"]);return Object.assign({type:"quantile",field:t},n)}}class _Z extends HG{constructor(e,t){var n,r,i;super(e),this.transform=t,this.transform=AP(t);const a=null!==(n=this.transform.as)&&void 0!==n?n:[void 0,void 0];this.transform.as=[null!==(r=a[0])&&void 0!==r?r:t.on,null!==(i=a[1])&&void 0!==i?i:t.regression]}clone(){return new _Z(null,AP(this.transform))}dependentFields(){var e;return new Set([this.transform.regression,this.transform.on,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}producedFields(){return new Set(this.transform.as)}hash(){return`RegressionTransform ${MP(this.transform)}`}assemble(){const e=this.transform,{regression:t,on:n}=e,r=hP(e,["regression","on"]);return Object.assign({type:"regression",x:n,y:t},r)}}class MZ extends HG{constructor(e,t){super(e),this.transform=t}clone(){return new MZ(null,AP(this.transform))}addDimensions(e){var t;this.transform.groupby=BP((null!==(t=this.transform.groupby)&&void 0!==t?t:[]).concat(e),(e=>e))}producedFields(){}dependentFields(){var e;return new Set([this.transform.pivot,this.transform.value,...null!==(e=this.transform.groupby)&&void 0!==e?e:[]])}hash(){return`PivotTransform ${MP(this.transform)}`}assemble(){const{pivot:e,value:t,groupby:n,limit:r,op:i}=this.transform;return Object.assign(Object.assign(Object.assign({type:"pivot",field:e,value:t},void 0!==r?{limit:r}:{}),void 0!==i?{op:i}:{}),void 0!==n?{groupby:n}:{})}}class TZ extends HG{constructor(e,t){super(e),this.transform=t}clone(){return new TZ(null,AP(this.transform))}dependentFields(){return new Set}producedFields(){return new Set}hash(){return`SampleTransform ${MP(this.transform)}`}assemble(){return{type:"sample",size:this.transform.sample}}}function OZ(e){let t=0;return function n(r,i){var a;if(r instanceof rJ&&!r.isGenerator&&!VH(r.data)&&(e.push(i),i={name:null,source:i.name,transform:[]}),r instanceof mJ&&(r.parent instanceof rJ&&!i.source?(i.format=Object.assign(Object.assign({},null!==(a=i.format)&&void 0!==a?a:{}),{parse:r.assembleFormatParse()}),i.transform.push(...r.assembleTransforms(!0))):i.transform.push(...r.assembleTransforms())),r instanceof pJ){i.name||(i.name="data_"+t++),!i.source||i.transform.length>0?(e.push(i),r.data=i.name):r.data=i.source;for(const t of r.assemble())e.push(t)}else switch((r instanceof aJ||r instanceof oJ||r instanceof xZ||r instanceof qX||r instanceof sY||r instanceof SZ||r instanceof CZ||r instanceof fJ||r instanceof kZ||r instanceof bJ||r instanceof vJ||r instanceof EZ||r instanceof wZ||r instanceof bZ||r instanceof AZ||r instanceof DZ||r instanceof _Z||r instanceof gJ||r instanceof TZ||r instanceof MZ)&&i.transform.push(r.assemble()),(r instanceof nJ||r instanceof KG||r instanceof NZ||r instanceof yJ)&&i.transform.push(...r.assemble()),r instanceof GG&&(i.source&&0===i.transform.length?r.setSource(i.source):r.parent instanceof GG?r.setSource(i.name):(i.name||(i.name="data_"+t++),r.setSource(i.name),1===r.numChildren()&&(e.push(i),i={name:null,source:i.name,transform:[]}))),r.numChildren()){case 0:r instanceof GG&&(!i.source||i.transform.length>0)&&e.push(i);break;case 1:n(r.children[0],i);break;default:{i.name||(i.name="data_"+t++);let a=i.name;!i.source||i.transform.length>0?e.push(i):a=i.source;for(const e of r.children)n(e,{name:null,source:a,transform:[]});break}}}}function IZ(e){return"top"===e||"left"===e||_q(e)?"header":"footer"}function FZ(e,t){var n;const{facet:r,config:i,child:a,component:o}=e;if(e.channelHasField(t)){const s=r[t],u=lY("title",null,i,t);let c=TV(s,i,{allowDisabling:!0,includeDefault:void 0===u||!!u});a.component.layoutHeaders[t].title&&(c=Qz(c)?c.join(", "):c,c+=" / "+a.component.layoutHeaders[t].title,a.component.layoutHeaders[t].title=null);const l=lY("labelOrient",s,i,t),f=tL((null!==(n=s.header)&&void 0!==n?n:{}).labels,i.header.labels,!0),p=OP(["bottom","right"],l)?"footer":"header";o.layoutHeaders[t]={title:c,facetFieldDef:s,[p]:"facet"===t?[]:[RZ(e,t,f)]}}}function RZ(e,t,n){const r="row"===t?"height":"width";return{labels:n,sizeSignal:e.child.component.layoutSize.get(r)?e.child.getSizeSignalRef(r):void 0,axes:[]}}function BZ(e,t){var n;const{child:r}=e;if(r.component.axes[t]){const{layoutHeaders:i,resolve:a}=e.component;if(a.axis[t]=TY(a,t),"shared"===a.axis[t]){const a="x"===t?"column":"row",o=i[a];for(const i of r.component.axes[t]){const t=IZ(i.get("orient"));o[t]=null!==(n=o[t])&&void 0!==n?n:[RZ(e,a,!1)];const 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pJ(f,e,t,E.getSource()),p[t]=C}return Object.assign(Object.assign({},e.component.data),{outputNodes:p,outputNodeRefCounts:h,raw:x,main:E,facetRoot:C,ancestorParse:d})}class VZ extends vZ{constructor(e,t,n,r){var i,a,o,s;super(e,"concat",t,n,r,e.resolve),"shared"!==(null===(a=null===(i=e.resolve)||void 0===i?void 0:i.axis)||void 0===a?void 0:a.x)&&"shared"!==(null===(s=null===(o=e.resolve)||void 0===o?void 0:o.axis)||void 0===s?void 0:s.y)||hq("Axes cannot be shared in concatenated or repeated views yet (https://github.com/vega/vega-lite/issues/2415)."),this.children=this.getChildren(e).map(((e,t)=>lQ(e,this,this.getName("concat_"+t),void 0,r)))}parseData(){this.component.data=WZ(this);for(const e of this.children)e.parseData()}parseSelections(){this.component.selection={};for(const e of this.children){e.parseSelections();for(const t of UP(e.component.selection))this.component.selection[t]=e.component.selection[t]}}parseMarkGroup(){for(const e of 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e.encoding.x||e.encoding.y||e.encoding.latitude||e.encoding.longitude?Object.assign(Object.assign(Object.assign(Object.assign({},LG(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"})),TG("x",e,{defaultPos:"horizontal"===n?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:"vertical"!==n})),TG("y",e,{defaultPos:"vertical"===n?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:"horizontal"!==n})),CG("size",e,{vgChannel:"strokeWidth"})):{}}},nQ={vgMark:"rect",encodeEntry:e=>{const{config:t,markDef:n}=e,r=n.orient,i="horizontal"===r?"width":"height",a="horizontal"===r?"height":"width";return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},LG(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"})),AG("x",e,{defaultPos:"mid",vgChannel:"xc"})),AG("y",e,{defaultPos:"mid",vgChannel:"yc"})),CG("size",e,{defaultValue:rQ(e),vgChannel:i})),{[a]:KV(ZV("thickness",n,t))})}};function rQ(e){var t;const{config:n,markDef:r}=e,{orient:i}=r,a="horizontal"===i?"width":"height",o=e.getScaleComponent("horizontal"===i?"x":"y"),s=null!==(t=ZV("size",r,n,{vgChannel:a}))&&void 0!==t?t:n.tick.bandSize;if(void 0!==s)return s;{const e=o?o.get("range"):void 0;return e&&Mq(e)&&cP(e.step)?3*e.step/4:3*J$(n.view,a)/4}}const 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aQ="faceted_path_",oQ="stack_group_";function sQ(e,t={fromPrefix:""}){const{mark:n,markDef:r,config:i}=e,a=tL(r.clip,function(e){const t=e.getScaleComponent("x"),n=e.getScaleComponent("y");return!!(t&&t.get("selectionExtent")||n&&n.get("selectionExtent"))||void 0}(e),function(e){const t=e.component.projection;return!(!t||t.isFit)||void 0}(e)),o=JV(r),s=e.encoding.key,u=function(e){const{encoding:t,stack:n,mark:r,markDef:i,config:a}=e,o=t.order;if(!(!Qz(o)&&xV(o)&&TP(o.value)||!o&&TP(ZV("order",i,a)))){if((Qz(o)||hV(o))&&!n)return n$(o,{expr:"datum"});if(kL(r)){const n="horizontal"===i.orient?"y":"x",r=t[n];if(hV(r)){const t=r.sort;return Qz(t)?{field:NV(r,{prefix:n,suffix:"sort_index",expr:"datum"})}:tV(t)?{field:NV({aggregate:s$(e.encoding)?t.op:void 0,field:t.field},{expr:"datum"})}:eV(t)?{field:NV(e.fieldDef(t.encoding),{expr:"datum"}),order:t.order}:null===t?void 0:{field:NV(r,{binSuffix:e.stack&&e.stack.impute?"mid":void 0,expr:"datum"})}}}}}(e),c=function(e){if(!e.component.selection)return null;const t=UP(e.component.selection).length;let n=t,r=e.parent;for(;r&&0===n;)n=UP(r.component.selection).length,r=r.parent;return n?{interactive:t>0}:null}(e),l=ZV("aria",r,i),f=iQ[n].postEncodingTransform?iQ[n].postEncodingTransform(e):null;return[Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({name:e.getName("marks"),type:iQ[n].vgMark},a?{clip:!0}:{}),o?{style:o}:{}),s?{key:s.field}:{}),u?{sort:u}:{}),c||{}),!1===l?{aria:l}:{}),{from:{data:t.fromPrefix+e.requestDataName(JH)},encode:{update:iQ[n].encodeEntry(e)}}),f?{transform:f}:{})]}class uQ extends yZ{constructor(e,t,n,r={},i){var a,o;super(e,"unit",t,n,i,void 0,K$(e)?e.view:void 0),this.specifiedScales={},this.specifiedAxes={},this.specifiedLegends={},this.specifiedProjection={},this.selection={},this.children=[];const s=ML(e.mark)?e.mark.type:e.mark;this.markDef=function(e,t,n,{graticule:r}){const i=ML(e)?Object.assign({},e):{type:e},a=ZV("orient",i,n);if(i.orient=function(e,t,n){switch(e){case yL:case SL:case NL:case wL:case bL:case gL:return}const{x:r,y:i,x2:a,y2:o}=t;switch(e){case mL:if(hV(r)&&(RU(r.bin)||hV(i)&&i.aggregate&&!r.aggregate))return"vertical";if(hV(i)&&(RU(i.bin)||hV(r)&&r.aggregate&&!i.aggregate))return"horizontal";if(o||a){if(n)return n;if(!a&&(hV(r)&&r.type===Kq&&!FU(r.bin)||vV(r)))return"horizontal";if(!o&&(hV(i)&&i.type===Kq&&!FU(i.bin)||vV(i)))return"vertical"}case xL:if(a&&(!hV(r)||!RU(r.bin))&&o&&(!hV(i)||!RU(i.bin)))return;case dL:if(o)return hV(i)&&RU(i.bin)?"horizontal":"vertical";if(a)return hV(r)&&RU(r.bin)?"vertical":"horizontal";if(e===xL){if(r&&!i)return"vertical";if(i&&!r)return"horizontal"}case vL:case EL:{const t=gV(r),a=gV(i);if(t&&!a)return"tick"!==e?"horizontal":"vertical";if(!t&&a)return"tick"!==e?"vertical":"horizontal";if(t&&a){const t=r,a=i,o=t.type===Yq,s=a.type===Yq;return o&&!s?"tick"!==e?"vertical":"horizontal":!o&&s?"tick"!==e?"horizontal":"vertical":!t.aggregate&&a.aggregate?"tick"!==e?"vertical":"horizontal":t.aggregate&&!a.aggregate?"tick"!==e?"horizontal":"vertical":n||"vertical"}return n||void 0}}return"vertical"}(i.type,t,a),void 0!==a&&a!==i.orient&&hq(`Specified orient "${i.orient}" overridden with "${a}".`),"bar"===i.type&&i.orient){const e=ZV("cornerRadiusEnd",i,n);if(void 0!==e){const n="horizontal"===i.orient&&t.x2||"vertical"===i.orient&&t.y2?["cornerRadius"]:IL[i.orient];for(const t of n)i[t]=e;void 0!==i.cornerRadiusEnd&&delete i.cornerRadiusEnd}}return void 0===ZV("opacity",i,n)&&(i.opacity=function(e,t){if(OP([yL,EL,SL,NL],e)&&!s$(t))return.7}(i.type,t)),void 0===i.filled&&(i.filled=!r&&function(e,t){const n=QV("filled",e,t),r=e.type;return tL(n,r!==yL&&r!==vL&&r!==xL)}(i,n)),void 0===ZV("cursor",i,n)&&(i.cursor=function(e,t,n){return t.href||e.href||ZV("href",e,n)?"pointer":e.cursor}(i,t,n)),i}(e.mark,null!==(a=e.encoding)&&void 0!==a?a:{},i,{graticule:e.data&&YH(e.data)});const u=this.encoding=c$(null!==(o=e.encoding)&&void 0!==o?o:{},this.markDef,i);this.size=function({encoding:e,size:t}){for(const n of fU){const r=Xj(n);G$(t[r])&&gV(e[n])&&(delete t[r],hq(aq(r)))}return t}({encoding:u,size:K$(e)?Object.assign(Object.assign(Object.assign({},r),e.width?{width:e.width}:{}),e.height?{height:e.height}:{}):r}),this.stack=mH(s,u),this.specifiedScales=this.initScales(s,u),this.specifiedAxes=this.initAxes(u),this.specifiedLegends=this.initLegend(u),this.specifiedProjection=e.projection,this.selection=e.selection}get hasProjection(){const{encoding:e}=this,t=this.mark===AL,n=e&&Dj.some((t=>yV(e[t])));return t||n}scaleDomain(e){const t=this.specifiedScales[e];return t?t.domain:void 0}axis(e){return this.specifiedAxes[e]}legend(e){return this.specifiedLegends[e]}initScales(e,t){return kU.reduce(((e,n)=>{var r;const 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l)"encodings"===e&&o.fields||"fields"===e&&o.encodings||("mark"===e&&(o[e]=Object.assign(Object.assign({},l[e]),o[e])),void 0!==o[e]&&!0!==o[e]||(o[e]=null!==(n=l[e])&&void 0!==n?n:o[e]));const f=$P(a),p=r[f]=Object.assign(Object.assign({},o),{name:f,events:lP(o.on)?Lz(o.on,"scope"):AP(o.on)});gK(p,(n=>{n.has(p)&&n.parse&&n.parse(e,p,o,t[a])}))}return r}(this,this.selection)}parseMarkGroup(){var e;this.component.mark=OP([vL,dL,CL],(e=this).mark)?function(e){const t=h$(e.mark,e.encoding),n=sQ(e,{fromPrefix:t.length>0?aQ:""});return t.length>0?[{name:e.getName("pathgroup"),type:"group",from:{facet:{name:aQ+e.requestDataName(JH),data:e.requestDataName(JH),groupby:t}},encode:{update:{width:{field:{group:"width"}},height:{field:{group:"height"}}}},marks:n}]:n}(e):OP([mL],e.mark)?function(e){const t=Fq.some((t=>ZV(t,e.markDef,e.config)));if(e.stack&&!e.fieldDef("size")&&t){const[t]=sQ(e,{fromPrefix:oQ}),n=e.scaleName(e.stack.fieldChannel),r=(t={})=>e.vgField(e.stack.fieldChannel,t),i=(e,t)=>`${e}(${[r({prefix:"min",suffix:"start",expr:t}),r({prefix:"max",suffix:"start",expr:t}),r({prefix:"min",suffix:"end",expr:t}),r({prefix:"max",suffix:"end",expr:t})].map((e=>`scale('${n}',${e})`)).join(",")})`;let 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diff --git a/dist/numero.js.LICENSE.txt b/dist/numero.js.LICENSE.txt
new file mode 100644
index 0000000..5eff71d
--- /dev/null
+++ b/dist/numero.js.LICENSE.txt
@@ -0,0 +1,230 @@
+/*
+ * @license
+ * Copyright 2018 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/*
+object-assign
+(c) Sindre Sorhus
+@license MIT
+*/
+
+/*!
+ * https://github.com/Starcounter-Jack/JSON-Patch
+ * (c) 2017 Joachim Wester
+ * MIT license
+ */
+
+/*! *****************************************************************************
+Copyright (c) Microsoft Corporation.
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
+***************************************************************************** */
+
+/**
+    * @license
+    * Copyright 2019 Google LLC. All Rights Reserved.
+    * Licensed under the Apache License, Version 2.0 (the "License");
+    * you may not use this file except in compliance with the License.
+    * You may obtain a copy of the License at
+    *
+    * http://www.apache.org/licenses/LICENSE-2.0
+    *
+    * Unless required by applicable law or agreed to in writing, software
+    * distributed under the License is distributed on an "AS IS" BASIS,
+    * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    * See the License for the specific language governing permissions and
+    * limitations under the License.
+    * =============================================================================
+    */
+
+/**
+    * @license
+    * Copyright 2020 Google LLC. All Rights Reserved.
+    * Licensed under the Apache License, Version 2.0 (the "License");
+    * you may not use this file except in compliance with the License.
+    * You may obtain a copy of the License at
+    *
+    * http://www.apache.org/licenses/LICENSE-2.0
+    *
+    * Unless required by applicable law or agreed to in writing, software
+    * distributed under the License is distributed on an "AS IS" BASIS,
+    * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    * See the License for the specific language governing permissions and
+    * limitations under the License.
+    * =============================================================================
+    */
+
+/**
+    * @license
+    * Copyright 2021 Google LLC. All Rights Reserved.
+    * Licensed under the Apache License, Version 2.0 (the "License");
+    * you may not use this file except in compliance with the License.
+    * You may obtain a copy of the License at
+    *
+    * http://www.apache.org/licenses/LICENSE-2.0
+    *
+    * Unless required by applicable law or agreed to in writing, software
+    * distributed under the License is distributed on an "AS IS" BASIS,
+    * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    * See the License for the specific language governing permissions and
+    * limitations under the License.
+    * =============================================================================
+    */
+
+/**
+ * @license
+ * Copyright 2017 Google Inc. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/**
+ * @license
+ * Copyright 2018 Google Inc. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/**
+ * @license
+ * Copyright 2018 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/**
+ * @license
+ * Copyright 2019 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/**
+ * @license
+ * Copyright 2020 Google Inc. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/**
+ * @license
+ * Copyright 2021 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+
+/**
+ * @license Complex.js v2.0.15 12/05/2020
+ *
+ * Copyright (c) 2020, Robert Eisele (robert@xarg.org)
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ **/
+
+/**
+ * @license Fraction.js v4.1.2 23/05/2021
+ * https://www.xarg.org/2014/03/rational-numbers-in-javascript/
+ *
+ * Copyright (c) 2021, Robert Eisele (robert@xarg.org)
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ **/
+
+/** @license See the LICENSE file. */
diff --git a/package-lock.json b/package-lock.json
index 3bafeeb..4a81f23 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -278,9 +278,9 @@
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+      "version": "7.0.9",
+      "resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.9.tgz",
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@@ -289,15 +289,6 @@
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@@ -305,9 +296,9 @@
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+      "version": "17.0.10",
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@@ -359,23 +350,6 @@
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@@ -388,17 +362,6 @@
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-        }
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     "webpack-cli": {
@@ -4966,40 +4627,6 @@
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-          "dev": true,
-          "requires": {
-            "pkg-dir": "^4.2.0",
-            "resolve-cwd": "^3.0.0"
-          }
-        },
-        "pkg-dir": {
-          "version": "4.2.0",
-          "resolved": "https://registry.npmjs.org/pkg-dir/-/pkg-dir-4.2.0.tgz",
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-          "dev": true,
-          "requires": {
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diff --git a/package.json b/package.json
index b16a7b2..1738df5 100644
--- a/package.json
+++ b/package.json
@@ -17,7 +17,6 @@
     "@tensorflow/tfjs-converter": "^1.2.9",
     "@tensorflow/tfjs-core": "^1.2.9",
     "@types/chai": "^4.3.0",
-    "@types/mathjs": "^9.4.2",
     "@types/mocha": "^9.1.0",
     "@types/p5": "^1.3.3",
     "@typescript-eslint/eslint-plugin": "^5.10.0",