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Revamp StableHLO simplification paterns. #2586

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merged 5 commits into from
Oct 18, 2024
Merged

Revamp StableHLO simplification paterns. #2586

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7029b03
Revamp StableHLO simplification paterns.
GleasonK Oct 11, 2024
dfe95d9
Add dynamic reshape pattern
GleasonK Oct 11, 2024
041894c
address feedback
GleasonK Oct 16, 2024
e83f5d6
filter long TP
GleasonK Oct 16, 2024
b4069aa
filter long TP
GleasonK Oct 16, 2024
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16 changes: 16 additions & 0 deletions BUILD.bazel
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Original file line number Diff line number Diff line change
Expand Up @@ -310,6 +310,21 @@ gentbl_cc_library(
],
)

gentbl_cc_library(
name = "stablehlo_aggressive_simplification_inc_gen",
tbl_outs = [
(
["--gen-rewriters"],
"stablehlo/transforms/StablehloAggressiveSimplificationPatterns.h.inc",
),
],
tblgen = "@llvm-project//mlir:mlir-tblgen",
td_file = "stablehlo/transforms/StablehloAggressiveSimplificationPatterns.td",
deps = [
":stablehlo_ops_td_files",
],
)

gentbl_cc_library(
name = "stablehlo_legalize_deprecated_ops_inc_gen",
tbl_outs = [
Expand Down Expand Up @@ -1127,6 +1142,7 @@ cc_library(
":chlo_ops",
":chlo_rewriters_inc_gen",
":linalg_passes",
":stablehlo_aggressive_simplification_inc_gen",
":stablehlo_create_compatibility_expander_inc_gen",
":stablehlo_legalize_deprecated_ops_inc_gen",
":stablehlo_ops",
Expand Down
156 changes: 156 additions & 0 deletions stablehlo/tests/transforms/stablehlo_aggressive_folder.mlir
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Original file line number Diff line number Diff line change
@@ -1,5 +1,143 @@
// RUN: stablehlo-opt --stablehlo-aggressive-folder --split-input-file --verify-diagnostics %s | FileCheck %s

////////
// AddOp

// CHECK-LABEL: @add_fold_cst
func.func @add_fold_cst() -> (tensor<i32>, tensor<f32>) {
%cst = stablehlo.constant dense<1> : tensor<i32>
%cst_1 = stablehlo.constant dense<1.0> : tensor<f32>
// CHECK: stablehlo.constant dense<2> : tensor<i32>
// CHECK: stablehlo.constant dense<2.0{{.*}}> : tensor<f32>
%0 = stablehlo.add %cst, %cst : tensor<i32>
%1 = stablehlo.add %cst_1, %cst_1 : tensor<f32>
return %0, %1 : tensor<i32>, tensor<f32>
}

// -----

////////
// BroadcastInDimOp

// CHECK-LABEL: func.func @broadcast_in_dim_fold_splat
// CHECK-SAME: ([[ARG0:%.+]]: tensor<3x3xi32>)
func.func @broadcast_in_dim_fold_splat(%arg0: tensor<3x3xi32>)
-> (tensor<6xi32>, tensor<3xf32>, tensor<3x3xi32>) {
%c0 = stablehlo.constant dense<5> : tensor<i32>
%c1 = stablehlo.constant dense<3.0> : tensor<f32>
%c2 = stablehlo.constant dense<1> : tensor<1x3xi32>

%0 = stablehlo.broadcast_in_dim %c0, dims = [] : (tensor<i32>) -> tensor<6xi32>
%1 = stablehlo.broadcast_in_dim %c1, dims = [] : (tensor<f32>) -> tensor<3xf32>
%2 = stablehlo.broadcast_in_dim %c2, dims = [1, 0] : (tensor<1x3xi32>) -> tensor<3x3xi32>

// CHECK-DAG: [[R0:%.+]] = stablehlo.constant dense<5> : tensor<6xi32>
// CHECK-DAG: [[R1:%.+]] = stablehlo.constant dense<3.000000e+00> : tensor<3xf32>
// CHECK-DAG: [[R2:%.+]] = stablehlo.constant dense<1> : tensor<3x3xi32>

// CHECK-NEXT: return [[R0]], [[R1]], [[R2]]
return %0, %1, %2 : tensor<6xi32>, tensor<3xf32>, tensor<3x3xi32>
}

// -----

////////
// CompareOp

// CHECK-LABEL: func.func @compare_folds
func.func @compare_folds()
-> (tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>) {
%cn1 = stablehlo.constant dense<-1> : tensor<i32>
%c0 = stablehlo.constant dense<0> : tensor<i32>
%c4 = stablehlo.constant dense<4> : tensor<i32>
%c5 = stablehlo.constant dense<5> : tensor<i32>

%0 = stablehlo.compare EQ, %cn1, %cn1, SIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>
%1 = stablehlo.compare GT, %c5, %c5, SIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>
%2 = stablehlo.compare GE, %c4, %cn1, SIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>
%3 = stablehlo.compare LE, %c4, %c5, SIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>

%4 = stablehlo.compare EQ, %cn1, %cn1, UNSIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>
%5 = stablehlo.compare GT, %c5, %cn1, UNSIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>
%6 = stablehlo.compare GE, %c5, %c4, UNSIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>
%7 = stablehlo.compare LE, %cn1, %c5, UNSIGNED : (tensor<i32>, tensor<i32>) -> tensor<i1>

// CHECK-DAG: [[FALSE:%.+]] = stablehlo.constant dense<false> : tensor<i1>
// CHECK-DAG: [[TRUE:%.+]] = stablehlo.constant dense<true> : tensor<i1>

// CHECK-NEXT: return [[TRUE]], [[FALSE]], [[TRUE]], [[TRUE]], [[TRUE]], [[FALSE]], [[TRUE]], [[FALSE]]
return %0, %1, %2, %3, %4, %5, %6, %7 :
tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>, tensor<i1>
}


// -----

////////
// ConcatenateOp

// CHECK-LABEL: func.func @concatenate_fold
func.func @concatenate_fold() -> (tensor<6xi32>, tensor<3xi32>, tensor<3x3xi32>, tensor<2x5xi32>) {
%c0 = stablehlo.constant dense<[0, 1]> : tensor<2xi32>
%c1 = stablehlo.constant dense<[2, 3, 4]> : tensor<3xi32>
%c2 = stablehlo.constant dense<[5]> : tensor<1xi32>

%c3 = stablehlo.constant dense<[[0, 1, 2], [3, 4, 5]]> : tensor<2x3xi32>
%c4 = stablehlo.constant dense<[[6, 7, 8]]> : tensor<1x3xi32>
%c5 = stablehlo.constant dense<[[11, 12], [13, 14]]> : tensor<2x2xi32>

%0 = stablehlo.concatenate %c0, %c1, %c2, dim = 0 : (tensor<2xi32>, tensor<3xi32>, tensor<1xi32>) -> tensor<6xi32>
%1 = stablehlo.concatenate %c0, %c2, dim = 0 : (tensor<2xi32>, tensor<1xi32>) -> tensor<3xi32>

%2 = stablehlo.concatenate %c3, %c4, dim = 0 : (tensor<2x3xi32>, tensor<1x3xi32>) -> tensor<3x3xi32>
%3 = stablehlo.concatenate %c3, %c5, dim = 1 : (tensor<2x3xi32>, tensor<2x2xi32>) -> tensor<2x5xi32>

// CHECK-DAG: [[R0:%.+]] = stablehlo.constant dense<[0, 1, 2, 3, 4, 5]> : tensor<6xi32>
// CHECK-DAG: [[R1:%.+]] = stablehlo.constant dense<[0, 1, 5]> : tensor<3xi32>
// CHECK-DAG: [[R2:%.+]] = stablehlo.constant dense<{{\[\[0, 1, 2\], \[3, 4, 5\], \[6, 7, 8\]\]}}> : tensor<3x3xi32>
// CHECK-DAG: [[R3:%.+]] = stablehlo.constant dense<{{\[\[0, 1, 2, 11, 12\], \[3, 4, 5, 13, 14\]\]}}> : tensor<2x5xi32>
// CHECK-NEXT: return [[R0]], [[R1]], [[R2]], [[R3]]
return %0, %1, %2, %3 : tensor<6xi32>, tensor<3xi32>, tensor<3x3xi32>, tensor<2x5xi32>
}

// -----

////////
// MulOp

// CHECK-LABEL: @mul_fold_cst
func.func @mul_fold_cst() -> (tensor<i32>, tensor<f32>) {
%cst = stablehlo.constant dense<2> : tensor<i32>
%cst_1 = stablehlo.constant dense<2.0> : tensor<f32>
// CHECK: stablehlo.constant dense<4> : tensor<i32>
// CHECK: stablehlo.constant dense<4.0{{.*}}> : tensor<f32>
%0 = stablehlo.multiply %cst, %cst : tensor<i32>
%1 = stablehlo.multiply %cst_1, %cst_1 : tensor<f32>
return %0, %1 : tensor<i32>, tensor<f32>
}

// -----

////////
// SubtractOp

// CHECK-LABEL: @subtract_fold_cst
func.func @subtract_fold_cst() -> (tensor<i32>, tensor<f32>) {
%cst = stablehlo.constant dense<1> : tensor<i32>
%cst_1 = stablehlo.constant dense<3> : tensor<i32>
%cst_2 = stablehlo.constant dense<1.0> : tensor<f32>
%cst_3 = stablehlo.constant dense<3.0> : tensor<f32>
// CHECK: stablehlo.constant dense<2> : tensor<i32>
// CHECK: stablehlo.constant dense<2.0{{.*}}> : tensor<f32>
%0 = stablehlo.subtract %cst_1, %cst : tensor<i32>
%1 = stablehlo.subtract %cst_3, %cst_2 : tensor<f32>
return %0, %1 : tensor<i32>, tensor<f32>
}

// -----

////////
// IotaOp

// CHECK-LABEL: func @eval_iota
func.func @eval_iota() -> (tensor<3x4x5xi32>, tensor<3x4x5xi32>, tensor<3x4x5xi32>) {
Expand Down Expand Up @@ -41,6 +179,24 @@ func.func @eval_iota_zero_dimension() -> (tensor<0xi32>, tensor<5x0x2xi32>) {

// -----

////////
// ReshapeOp

// CHECK-LABEL: func @reshape
func.func @reshape_fold() -> (tensor<1xi32>, tensor<2x2xi32>) {
%c0 = stablehlo.constant dense<2> : tensor<i32>
%c1 = stablehlo.constant dense<[1, 2, 3, 4]> : tensor<4xi32>
%0 = stablehlo.reshape %c0 : (tensor<i32>) -> tensor<1xi32>
%1 = stablehlo.reshape %c1 : (tensor<4xi32>) -> tensor<2x2xi32>

// CHECK-DAG: [[CST1:%.+]] = stablehlo.constant dense<2> : tensor<1xi32>
// CHECK-DAG: [[CST2:%.+]] = stablehlo.constant dense<{{\[\[1, 2\], \[3, 4\]\]}}> : tensor<2x2xi32>
// CHECK-NEXT: return [[CST1]], [[CST2]]
return %0, %1 : tensor<1xi32>, tensor<2x2xi32>
}

// -----

// CHECK-LABEL: func @eval_convert_f32_to_i64
func.func @eval_convert_f32_to_i64() -> tensor<2xi64> {
// CHECK-NOT: stablehlo.convert
Expand Down
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