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Initial commit of NonZero op (#2766)

pull/2775/head snapshot-20240119.1088
Andreas Falkenberg 2024-01-18 17:23:13 -08:00 committed by GitHub
parent b5387c0f29
commit 4de4d38b87
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GPG Key ID: B5690EEEBB952194
2 changed files with 22 additions and 2 deletions
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13
lib/Conversion/TorchOnnxToTorch/DefaultDomainGtoP.cpp
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@ -101,7 +101,6 @@ void mlir::torch::onnx_c::populateDefaultDomainGtoP(
binder.op, resultType, lhs, rhs); binder.op, resultType, lhs, rhs);
return success(); return success();
}); });
patterns.onOp("LessOrEqual", 1, patterns.onOp("LessOrEqual", 1,
[](OpBinder binder, ConversionPatternRewriter &rewriter) { [](OpBinder binder, ConversionPatternRewriter &rewriter) {
Torch::ValueTensorType resultType; Torch::ValueTensorType resultType;
@ -149,6 +148,18 @@ void mlir::torch::onnx_c::populateDefaultDomainGtoP(
binder.op, resultType, lhs, rhs); binder.op, resultType, lhs, rhs);
return success(); return success();
}); });
patterns.onOp("NonZero", 13,
[](OpBinder binder, ConversionPatternRewriter &rewriter) {
Torch::ValueTensorType resultType;
Value operand;
if (binder.tensorOperand(operand) ||
binder.tensorResultType(resultType)) {
return failure();
}
rewriter.replaceOpWithNewOp<Torch::AtenNonzeroOp>(
binder.op, resultType, operand);
return success();
});
patterns.onOp( patterns.onOp(
"MaxPool", 12, [](OpBinder binder, ConversionPatternRewriter &rewriter) { "MaxPool", 12, [](OpBinder binder, ConversionPatternRewriter &rewriter) {
std::string autoPad; std::string autoPad;

9
test/Conversion/TorchOnnxToTorch/simple_ops_g_to_p.mlir
View File

@ -450,6 +450,15 @@ func.func @test_not_2d(%arg0: !torch.vtensor<[3,4],i1>) -> !torch.vtensor<[3,4],
// ----- // -----
// CHECK-LABEL: func.func @test_nonzero
func.func @test_nonzero(%arg0: !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],si64> attributes {torch.onnx_meta.ir_version = 7 : si64, torch.onnx_meta.opset_version = 13 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
// CHECK: torch.aten.nonzero %arg0 : !torch.vtensor<[3,4,5],f32> -> !torch.vtensor<[3,4,5],si64>
%0 = torch.operator "onnx.NonZero"(%arg0) : (!torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],si64>
return %0 : !torch.vtensor<[3,4,5],si64>
}
// -----
// CHECK-LABEL: func.func @test_or2d // CHECK-LABEL: func.func @test_or2d
func.func @test_or2d(%arg0: !torch.vtensor<[3,4],i1>, %arg1: !torch.vtensor<[3,4],i1>) -> !torch.vtensor<[3,4],i1> attributes {torch.onnx_meta.ir_version = 3 : si64, torch.onnx_meta.opset_version = 7 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} { func.func @test_or2d(%arg0: !torch.vtensor<[3,4],i1>, %arg1: !torch.vtensor<[3,4],i1>) -> !torch.vtensor<[3,4],i1> attributes {torch.onnx_meta.ir_version = 3 : si64, torch.onnx_meta.opset_version = 7 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
// CHECK: torch.aten.bitwise_or.Tensor %arg0, %arg1 : !torch.vtensor<[3,4],i1>, !torch.vtensor<[3,4],i1> -> !torch.vtensor<[3,4],i1> // CHECK: torch.aten.bitwise_or.Tensor %arg0, %arg1 : !torch.vtensor<[3,4],i1>, !torch.vtensor<[3,4],i1> -> !torch.vtensor<[3,4],i1>