| #include "caffe2/operators/cos_op.h" |
| #include "caffe2/utils/eigen_utils.h" |
| |
| #include <algorithm> |
| #include <functional> |
| |
| namespace caffe2 { |
| |
| template <> |
| template <typename T> |
| bool CosGradientFunctor<CPUContext>::Forward( |
| const std::vector<int>& X_dims, |
| const std::vector<int>& /* dY_dims */, |
| const T* X, |
| const T* dY, |
| T* dX, |
| CPUContext* /* context */) const { |
| const int size = std::accumulate( |
| // NOLINTNEXTLINE(modernize-use-transparent-functors) |
| X_dims.cbegin(), X_dims.cend(), 1, std::multiplies<int>()); |
| ConstEigenVectorArrayMap<T> dY_arr(dY, size); |
| ConstEigenVectorArrayMap<T> X_arr(X, size); |
| EigenVectorMap<T>(dX, size) = -dY_arr * X_arr.sin(); |
| return true; |
| } |
| |
| REGISTER_CPU_OPERATOR( |
| Cos, |
| UnaryElementwiseOp<TensorTypes<float>, CPUContext, CosFunctor<CPUContext>>); |
| REGISTER_CPU_OPERATOR( |
| CosGradient, |
| BinaryElementwiseOp< |
| TensorTypes<float>, |
| CPUContext, |
| CosGradientFunctor<CPUContext>>); |
| |
| OPERATOR_SCHEMA(Cos) |
| .NumInputs(1) |
| .NumOutputs(1) |
| .IdenticalTypeAndShape() |
| .SetDoc(R"DOC( |
| Calculates the cosine of the given input tensor, element-wise. |
| |
| Github Links: |
| |
| - https://github.com/pytorch/pytorch/blob/master/caffe2/operators/cos_op.cc |
| |
| |
| <details> |
| |
| <summary> <b>Example</b> </summary> |
| |
| **Code** |
| |
| ``` |
| |
| workspace.ResetWorkspace() |
| |
| op = core.CreateOperator( |
| "Cos", |
| ["X"], |
| ["Y"] |
| ) |
| |
| workspace.FeedBlob("X", np.random.rand(5).astype(np.float32)) |
| print("X:", workspace.FetchBlob("X")) |
| workspace.RunOperatorOnce(op) |
| print("Y:", workspace.FetchBlob("Y")) |
| |
| ``` |
| |
| **Result** |
| |
| ``` |
| |
| X: [0.6816719 0.76771533 0.933932 0.01404487 0.11862425] |
| Y: [0.7765203 0.71949923 0.5946774 0.99990135 0.9929724 ] |
| |
| ``` |
| |
| </details> |
| |
| |
| )DOC") |
| .Input(0, "X", "*(type: Tensor`<float>`)* Input tensor.") |
| .Output( |
| 0, |
| "Y", |
| "*(type: Tensor`<float>`)* Output tensor calculated as the cosine of the input tensor, element-wise."); |
| |
| OPERATOR_SCHEMA(CosGradient).NumInputs(2).NumOutputs(1).IdenticalTypeAndShape(); |
| |
| namespace { |
| |
| class GetCosGradient : public GradientMakerBase { |
| using GradientMakerBase::GradientMakerBase; |
| std::vector<OperatorDef> GetGradientDefs() override { |
| return SingleGradientDef( |
| "CosGradient", |
| "", |
| std::vector<std::string>{I(0), GO(0)}, |
| std::vector<std::string>{GI(0)}); |
| } |
| }; |
| |
| } // namespace |
| |
| REGISTER_GRADIENT(Cos, GetCosGradient); |
| |
| } // namespace caffe2 |