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neilisaac / torch   python

Repository URL to install this package:

Version: 1.8.0 

/ include / caffe2 / operators / channel_backprop_stats_op.h

#ifndef CHANNEL_BACKPROP_STATS_OP_H
#define CHANNEL_BACKPROP_STATS_OP_H

#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"

namespace caffe2 {

template <class Context>
class ChannelBackpropStatsOp : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  template <class... Args>
  explicit ChannelBackpropStatsOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...) {}
  ~ChannelBackpropStatsOp() {}

  bool RunOnDevice() override {
    return true;
  }

 protected:
  INPUT_TAGS(INPUT, SAVED_MEAN, SAVED_INV_STDDEV, OUTPUT_GRAD);
  OUTPUT_TAGS(SCALE_GRAD, BIAS_GRAD);

  Tensor dBiasScratch_;
  Tensor dScaleScratch_;
};

} // namespace caffe2

#endif