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0.2.1.2

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@li-qing li-qing released this 29 Oct 07:14
· 1438 commits to master since this release

build

  • unify schema building in core and converter;
  • add more build script for android;
  • add linux build script for python;

ops impl

  • add floor mod support in binary;
  • use eltwise impl in add/max/sub/mul binary for optimization;
  • remove fake double support in cast;
  • fix 5d support for concat;
  • add adjX and adjY support for batch matmul;
  • optimize conv2d back prop filter;
  • add pad mode support for conv3d;
  • fix bug in conv2d & conv depthwise with very small feature map;
  • optimize binary without broacast;
  • add data types support for gather;
  • add gather ND support;
  • use uint8 data type in gather v2;
  • add transpose support for matmul;
  • add matrix band part;
  • add dim != 4 support for padding, reshape & tensor convert;
  • add pad type support for pool3d;
  • make ops based on TensorFlow Lite quantization optional;
  • add all & any support for reduction;
  • use type in parameter as output type in reduction;
  • add int support for unary;
  • add variable weight support for conv2d;
  • fix conv2d depthwise weights initialization;
  • fix type support for transpose;
  • fix grad outputs count for reduce grad and reshape grad;
  • fix priorbox & detection output;
  • fix metal softmax error;

python

  • add runSessionWithCallBackInfo interface;
  • add max nodes limit (1400) for visualization tool;
  • fix save error in python3;
  • align default dim;

convert

  • add extra design for optimization;
  • add more post converting optimizers;
  • add caffe v1 weights blob support;
  • add cast, unary, conv transpose support for onnx model;
  • optimize batchnorm, conv with variable weights, prelu, reshape, slice, upsample for onnx model;
  • add cos/sin/atan/tan support for unary for tensorflow model;
  • add any/all support for reduction for tensorflow model;
  • add elu, conv3d, pool3d support for tensorflow model;
  • optimize argmax, batchnorm, concat, batch to space, conv with variable weights, prelu, slice for tensorflow model;

others

  • fix size computer lock;
  • fix thread pool deadlock;
  • add express & parameters in express;
  • rewrite blitter chooser without static map;
  • add tests for expr;