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[ONNX] ONNX -> TORCH for Erf (#2673) 

TorchOnnxToTorch
For Erf function
pull/2676/head
Andreas Falkenberg 2023-12-19 08:07:27 -08:00 committed by GitHub
parent 89cfbe894d
commit ebaab4200f
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2 changed files with 19 additions and 0 deletions
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12
lib/Conversion/TorchOnnxToTorch/DefaultDomainAtoF.cpp
View File

@ -461,6 +461,18 @@ void mlir::torch::onnx_c::populateDefaultDomainAtoF(
binder.op, resultType, lhs, rhs);
return success();
});
patterns.onOp("Erf", 13,
[](OpBinder binder, ConversionPatternRewriter &rewriter) {
Torch::ValueTensorType resultType;
Value operand;
std::string direction;
if (binder.tensorOperand(operand) ||
binder.tensorResultType(resultType))
return failure();
rewriter.replaceOpWithNewOp<Torch::AtenErfOp>(
binder.op, resultType, operand);
return success();
});
patterns.onOp("Floor", 13,
[](OpBinder binder, ConversionPatternRewriter &rewriter) {
Torch::ValueTensorType resultType;

7
test/Conversion/TorchOnnxToTorch/simple_ops_a_to_f.mlir
View File

@ -414,6 +414,13 @@ func.func @test_equal_bcast(%arg0: !torch.vtensor<[3,4,5],si32>, %arg1: !torch.v
return %0 : !torch.vtensor<[3,4,5],i1>
}
// CHECK-LABEL: @test_erf
func.func @test_erf(%arg0: !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],f32> attributes {torch.onnx_meta.ir_version = 3 : si64, torch.onnx_meta.opset_version = 13 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
// CHECK: torch.aten.erf %arg0 : !torch.vtensor<[3,4,5],f32> -> !torch.vtensor<[3,4,5],f32>
%0 = torch.operator "onnx.Erf"(%arg0) : (!torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],f32>
return %0 : !torch.vtensor<[3,4,5],f32>
}
// CHECK-LABEL: @test_equal
func.func @test_equal(%arg0: !torch.vtensor<[3,4,5],si32>, %arg1: !torch.vtensor<[3,4,5],si32>) -> !torch.vtensor<[3,4,5],i1> attributes {torch.onnx_meta.ir_version = 9 : si64, torch.onnx_meta.opset_version = 19 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
// CHECK: torch.aten.eq.Tensor %arg0, %arg1 : !torch.vtensor<[3,4,5],si32>, !torch.vtensor<[3,4,5],si32> -> !torch.vtensor<[3,4,5],i1>