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Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
82 lines
1.7 KiB
C++
82 lines
1.7 KiB
C++
#include "caffe2/operators/negative_op.h"
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#include <string>
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#include <vector>
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namespace caffe2 {
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REGISTER_CPU_OPERATOR(
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Negative,
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UnaryElementwiseOp<NumericTypes, CPUContext, NegativeFunctor<CPUContext>>);
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// Input: X, output: Y
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OPERATOR_SCHEMA(Negative)
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.NumInputs(1)
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.NumOutputs(1)
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.AllowInplace({{0, 0}})
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.IdenticalTypeAndShape()
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.SetDoc(R"DOC(
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Computes the element-wise negative of the input.
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Github Links:
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- https://github.com/pytorch/pytorch/blob/master/caffe2/operators/negative_op.cc
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<details>
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<summary> <b>Example</b> </summary>
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**Code**
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```
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workspace.ResetWorkspace()
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op = core.CreateOperator(
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"Negative",
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["X"],
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["Y"]
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)
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workspace.FeedBlob("X", (np.random.rand(3,3).astype(np.float32)))
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print("X:", workspace.FetchBlob("X"))
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workspace.RunOperatorOnce(op)
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print("Y:", workspace.FetchBlob("Y"))
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```
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**Result**
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```
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X: [[0.83296907 0.61407167 0.32562155]
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[0.59304523 0.03111175 0.29365504]
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[0.09478621 0.5424558 0.73940724]]
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Y: [[-0.83296907 -0.61407167 -0.32562155]
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[-0.59304523 -0.03111175 -0.29365504]
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[-0.09478621 -0.5424558 -0.73940724]]
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```
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</details>
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)DOC")
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.Input(0, "X", "*(type: Tensor`<float>`)* 1D input tensor.")
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.Output(0, "Y", "*(type: Tensor`<float>`)* 1D output tensor.")
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.InheritOnnxSchema("Neg");
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namespace {
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class GetNegativeGradient : public GradientMakerBase {
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using GradientMakerBase::GradientMakerBase;
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std::vector<OperatorDef> GetGradientDefs() override {
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return SingleGradientDef(
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"Negative",
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"",
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std::vector<std::string>{GO(0)},
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std::vector<std::string>{GI(0)});
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}
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};
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} // namespace
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REGISTER_GRADIENT(Negative, GetNegativeGradient);
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} // namespace caffe2
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