| #include <cmath> |
| |
| #include "caffe2/operators/elementwise_op.h" |
| |
| namespace caffe2 { |
| |
| struct ExpCPUFunctor { |
| template <typename T> |
| inline void |
| operator()(const int n, const T* x, T* y, CPUContext* device_context) { |
| std::transform(x, x + n, y, exp); |
| } |
| }; |
| |
| namespace { |
| REGISTER_CPU_OPERATOR( |
| Exp, |
| UnaryElementwiseOp<TensorTypes<float>, CPUContext, ExpCPUFunctor>); |
| |
| OPERATOR_SCHEMA(Exp) |
| .NumInputs(1) |
| .NumOutputs(1) |
| .AllowInplace({{0, 0}}) |
| .SetDoc(R"DOC( |
| Calculates the exponential of the given input tensor, element-wise. This |
| operation can be done in an in-place fashion too, by providing the same input |
| and output blobs. |
| )DOC") |
| .Input(0, "input", "Input tensor") |
| .Output( |
| 0, |
| "output", |
| "The exponential of the input tensor computed " |
| "element-wise"); |
| |
| class GetExpGradient : public GradientMakerBase { |
| using GradientMakerBase::GradientMakerBase; |
| vector<OperatorDef> GetGradientDefs() override { |
| return SingleGradientDef( |
| "Mul", |
| "", |
| std::vector<string>{O(0), GO(0)}, |
| std::vector<string>{GI(0)}); |
| } |
| }; |
| REGISTER_GRADIENT(Exp, GetExpGradient); |
| } // namespace |
| } // namespace caffe2 |