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https://github.com/zebrajr/pytorch.git
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c2402a9257
Just a change pytorch/tree/master -> pytorch/tree/main pytorch/blob/master -> pytorch/blob/main Pull Request resolved: https://github.com/pytorch/pytorch/pull/100129 Approved by: https://github.com/huydhn
110 lines
2.3 KiB
C++
110 lines
2.3 KiB
C++
#include "caffe2/operators/sin_op.h"
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#include "caffe2/utils/eigen_utils.h"
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#include <algorithm>
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#include <functional>
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namespace caffe2 {
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template <>
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template <typename T>
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bool SinGradientFunctor<CPUContext>::Forward(
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const std::vector<int>& X_dims,
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const std::vector<int>& /* dY_dims */,
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const T* X,
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const T* dY,
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T* dX,
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CPUContext* /* context */) const {
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const int size = std::accumulate(
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// NOLINTNEXTLINE(modernize-use-transparent-functors)
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X_dims.cbegin(), X_dims.cend(), 1, std::multiplies<int>());
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ConstEigenVectorArrayMap<T> dY_arr(dY, size);
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ConstEigenVectorArrayMap<T> X_arr(X, size);
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EigenVectorMap<T>(dX, size) = dY_arr * X_arr.cos();
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return true;
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}
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REGISTER_CPU_OPERATOR(
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Sin,
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UnaryElementwiseOp<TensorTypes<float>, CPUContext, SinFunctor<CPUContext>>);
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REGISTER_CPU_OPERATOR(
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SinGradient,
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BinaryElementwiseOp<
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TensorTypes<float>,
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CPUContext,
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SinGradientFunctor<CPUContext>>);
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OPERATOR_SCHEMA(Sin)
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.NumInputs(1)
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.NumOutputs(1)
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.IdenticalTypeAndShape()
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.SetDoc(R"DOC(
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Calculates the sine of the given input tensor, element-wise.
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Github Links:
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- https://github.com/pytorch/pytorch/blob/main/caffe2/operators/sin_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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"Sin",
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["X"],
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["Y"]
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)
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workspace.FeedBlob("X", np.random.rand(5).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: [0.8466114 0.1803606 0.5601509 0.04959291 0.64770824]
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Y: [0.74903965 0.17938434 0.5313141 0.04957259 0.60336035]
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```
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</details>
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)DOC")
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.Input(0, "X", "*(type: Tensor`<float>`)* Input tensor.")
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.Output(
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0,
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"Y",
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"*(type: Tensor`<float>`)* Output tensor calculated as the sine of the input tensor, element-wise.");
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OPERATOR_SCHEMA(SinGradient).NumInputs(2).NumOutputs(1).IdenticalTypeAndShape();
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namespace {
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class GetSinGradient : 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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"SinGradient",
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"",
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std::vector<std::string>{I(0), 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(Sin, GetSinGradient);
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} // namespace caffe2
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