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