mirror of https://github.com/llvm/torch-mlir
[ONNX] Handle one-input case for `onnx.Max` operator (#3325)
This commit handles the one-input case for the "Max" ONNX operator. A new unit test has also been added.pull/3328/head
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2c9c763191
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7c289d9522
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@ -651,7 +651,7 @@ void mlir::torch::onnx_c::populateDefaultDomainGtoP(
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result = rewriter.create<Torch::AtenMaximumOp>(
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binder.getLoc(), resultType, result, operands[i]);
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}
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rewriter.replaceOp(binder.op, result.getDefiningOp());
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rewriter.replaceOp(binder.op, result);
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return success();
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});
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patterns.onOp(
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@ -740,6 +740,15 @@ func.func @test_globalaveragepool_precomputed(%arg0: !torch.vtensor<[1,1,3,3],f3
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// -----
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// CHECK-LABEL: func.func @test_max_one_input_example
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func.func @test_max_one_input_example(%arg0: !torch.vtensor<[3],f32>) -> !torch.vtensor<[3],f32> 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 = ""} {
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// CHECK: return %arg0 : !torch.vtensor<[3],f32>
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%0 = torch.operator "onnx.Max"(%arg0) : (!torch.vtensor<[3],f32>) -> !torch.vtensor<[3],f32>
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return %0 : !torch.vtensor<[3],f32>
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}
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// -----
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// CHECK-LABEL: func.func @test_min_example
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func.func @test_min_example(%arg0: !torch.vtensor<[3],f32>, %arg1: !torch.vtensor<[3],f32>, %arg2: !torch.vtensor<[3],f32>) -> !torch.vtensor<[3],f32> 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 = ""} {
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// CHECK: torch.aten.minimum %arg0, %arg1 : !torch.vtensor<[3],f32>, !torch.vtensor<[3],f32> -> !torch.vtensor<[3],f32>
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