pytorch/caffe2/operators/lpnorm_op.h
Sebastian Messmer 9024faaafe Reapply D14078519 (#17596)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17596

Was reverted before, now fixed version.

Reviewed By: ezyang

Differential Revision: D14270288

fbshipit-source-id: c72490b5d02cc6098cb60145fa9a842b3c9a24c5
2019-03-06 13:51:00 -08:00

51 lines
1.2 KiB
C++

#ifndef CAFFE2_OPERATORS_LPNORM_OP_H_
#define CAFFE2_OPERATORS_LPNORM_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class LpNormOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit LpNormOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
OP_SINGLE_ARG(int, "p", p_, 2),
OP_SINGLE_ARG(bool, "average", average_, false) {
CAFFE_ENFORCE(p_ == 1 || p_ == 2, "p should be either 1 or 2.");
}
bool RunOnDevice() override;
protected:
const int p_;
const bool average_;
};
template <typename T, class Context>
class LpNormGradientOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit LpNormGradientOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
OP_SINGLE_ARG(int, "p", p_, 2),
OP_SINGLE_ARG(bool, "average", average_, false) {
CAFFE_ENFORCE(p_ == 1 || p_ == 2, "p should be either 1 or 2.");
}
bool RunOnDevice() override;
protected:
const int p_;
const bool average_;
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_LPNORM_OP_H_