pytorch/caffe2/operators/swish_op.h
Xiaomeng Yang 9243b64bff
[Caffe2] Update elementwise ops to support numpy style boradcast (#8070)
* Update elementwise ops to support numpy style boradcast

Update elementwise ops to support numpy style boradcast

* Fix sqrt_op

* Fix compare ops

* Fix gradient test

* Fix optimizer legacy broadcast

* Fix legacy broadcast for elementwise ops

* Skip flaky test

* Fix eigen simple binary op

* Fix attention test

* Fix rnn test

* Fix LSTM test

* Fix tan grad

* Fix schema check
2018-06-05 15:49:16 -07:00

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#ifndef CAFFE2_OPERATORS_SWISH_OP_H_
#define CAFFE2_OPERATORS_SWISH_OP_H_
#include "caffe2/operators/elementwise_ops.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <class Context>
struct SwishFunctor {
template <typename T>
bool operator()(const int N, const T* X, T* Y, Context* context) const;
};
template <class Context>
class SwishGradientOp final : public Operator<Context> {
public:
USE_SIMPLE_CTOR_DTOR(SwishGradientOp)
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <typename T>
bool DoRunWithType();
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<float, double>>::call(this, Input(X));
}
protected:
INPUT_TAGS(X, Y, DY);
OUTPUT_TAGS(DX);
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_SWISH_OP_H_