diff --git a/lib/Conversion/TorchOnnxToTorch/DefaultDomainGtoP.cpp b/lib/Conversion/TorchOnnxToTorch/DefaultDomainGtoP.cpp index 34e7068c8..9e2ca4e06 100644 --- a/lib/Conversion/TorchOnnxToTorch/DefaultDomainGtoP.cpp +++ b/lib/Conversion/TorchOnnxToTorch/DefaultDomainGtoP.cpp @@ -39,4 +39,17 @@ void mlir::torch::onnx_c::populateDefaultDomainGtoP( binder.op, resultType, lhs, rhs); 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( + binder.op, resultType, lhs, rhs); + return success(); + }); + +} \ No newline at end of file diff --git a/test/Conversion/TorchOnnxToTorch/simple_ops_g_to_p.mlir b/test/Conversion/TorchOnnxToTorch/simple_ops_g_to_p.mlir index 28b180a1e..9a29de584 100644 --- a/test/Conversion/TorchOnnxToTorch/simple_ops_g_to_p.mlir +++ b/test/Conversion/TorchOnnxToTorch/simple_ops_g_to_p.mlir @@ -23,4 +23,13 @@ func.func @test_matmul_4d(%arg0: !torch.vtensor<[1,2,3,4],f32>, %arg1: !torch.vt // CHECK: torch.aten.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> +} + +// 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> } \ No newline at end of file