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[onnx] add support for onnx.LessOrEqual (#2639) 

Added the less or equal operation to OnnxToTorch. 
onnx.LessOrEqual

---------

Co-authored-by: root <andreas.falkenberg@amd.com>
pull/2654/head snapshot-20231215.1053
Andreas Falkenberg 2023-12-14 19:23:23 -08:00 committed by GitHub
parent 65f517b3d0
commit 4ec8b9fc02
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 23 additions and 1 deletions
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13
lib/Conversion/TorchOnnxToTorch/DefaultDomainGtoP.cpp
View File

@ -39,4 +39,17 @@ void mlir::torch::onnx_c::populateDefaultDomainGtoP(
binder.op, resultType, lhs, rhs); binder.op, resultType, lhs, rhs);
return success(); return success();
}); });
patterns.onOp("LessOrEqual", 1,
[](OpBinder binder, ConversionPatternRewriter &rewriter) {
Torch::ValueTensorType resultType;
Value lhs, rhs;
if (binder.tensorOperands(lhs, rhs) ||
binder.tensorResultType(resultType)) {
return failure();
}
rewriter.replaceOpWithNewOp<Torch::AtenLeTensorOp>(
binder.op, resultType, lhs, rhs);
return success();
});
} }

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

@ -24,3 +24,12 @@ func.func @test_matmul_4d(%arg0: !torch.vtensor<[1,2,3,4],f32>, %arg1: !torch.vt
%0 = torch.operator "onnx.MatMul"(%arg0, %arg1) : (!torch.vtensor<[1,2,3,4],f32>, !torch.vtensor<[1,2,4,3],f32>) -> !torch.vtensor<[1,2,3,3],f32> %0 = torch.operator "onnx.MatMul"(%arg0, %arg1) : (!torch.vtensor<[1,2,3,4],f32>, !torch.vtensor<[1,2,4,3],f32>) -> !torch.vtensor<[1,2,3,3],f32>
return %0 : !torch.vtensor<[1,2,3,3],f32> return %0 : !torch.vtensor<[1,2,3,3],f32>
} }
// CHECK-LABEL: func.func @test_less_or_equal
func.func @test_less_or_equal(%arg0: !torch.vtensor<[3,4,5],f32>, %arg1: !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],i1> 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-SAME: %[[ARG0:[a-zA-Z0-9]+]]: !torch.vtensor<[3,4,5],f32>
// CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: !torch.vtensor<[3,4,5],f32>
// CHECK: torch.aten.le.Tensor %[[ARG0]], %[[ARG1]] : !torch.vtensor<[3,4,5],f32>, !torch.vtensor<[3,4,5],f32> -> !torch.vtensor<[3,4,5],i1>
%0 = torch.operator "onnx.LessOrEqual"(%arg0, %arg1) : (!torch.vtensor<[3,4,5],f32>, !torch.vtensor<[3,4,5],f32>) -> !torch.vtensor<[3,4,5],i1>
return %0 : !torch.vtensor<[3,4,5],i1>
}