pytorch/caffe2/operators/loss_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

36 lines
1.0 KiB
C++

#ifndef CAFFE2_OPERATORS_LOSS_OP_H_
#define CAFFE2_OPERATORS_LOSS_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/reduction_ops.h"
#include "caffe2/operators/utility_ops.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
// AveragedLoss takes in the input and produces the output loss value as
// the average of the input.
template <typename T, class Context>
class AveragedLoss final : public SumElementsOp<T, Context> {
public:
template <class... Args>
explicit AveragedLoss(Args&&... args)
: SumElementsOp<T, Context>(std::forward<Args>(args)..., true) {}
~AveragedLoss() {}
};
template <typename T, class Context>
class AveragedLossGradient final : public SumElementsGradientOp<T, Context> {
public:
template <class... Args>
explicit AveragedLossGradient(Args&&... args)
: SumElementsGradientOp<T, Context>(std::forward<Args>(args)..., true) {}
~AveragedLossGradient() {}
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_LOSS_OP_H_