pytorch/caffe2/operators/dropout_op.h

56 lines
1.4 KiB
C++

#ifndef CAFFE2_OPERATORS_DROPOUT_OP_H_
#define CAFFE2_OPERATORS_DROPOUT_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class DropoutOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit DropoutOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
ratio_(this->template GetSingleArgument<float>("ratio", 0.5)),
is_test_(
this->template GetSingleArgument<int>(OpSchema::Arg_IsTest, 0)) {
CAFFE_ENFORCE_GE(ratio_, 0);
}
bool RunOnDevice() override;
protected:
float ratio_;
bool is_test_;
// Input: X; Output: Y, mask.
};
template <typename T, class Context>
class DropoutGradientOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit DropoutGradientOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
ratio_(this->template GetSingleArgument<float>("ratio", 0.5)),
is_test_(
this->template GetSingleArgument<int>(OpSchema::Arg_IsTest, 0)) {
CAFFE_ENFORCE_GE(ratio_, 0);
}
bool RunOnDevice() override;
protected:
float ratio_;
bool is_test_;
// Input: dY, mask; Output: dX
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_DROPOUT_OP_H_