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neilisaac / torch   python

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Version: 1.8.0 

/ include / caffe2 / operators / accumulate_op.h

#ifndef CAFFE2_OPERATORS_ACCUMULATE_OP_H_
#define CAFFE2_OPERATORS_ACCUMULATE_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 AccumulateOp final : public Operator<Context> {
 public:
  template <class... Args>
  explicit AccumulateOp(Args&&... args)
      : Operator<Context>(std::forward<Args>(args)...),
        gamma_(static_cast<T>(
            this->template GetSingleArgument<float>("gamma", 1.0))) {}
  USE_OPERATOR_CONTEXT_FUNCTIONS;

  bool RunOnDevice() override {
    auto& input = Input(0);

    // TODO: the operator depends on output being set to 0 before the run
    auto* output = Output(0, input.sizes(), at::dtype<T>());
    math::Axpby<T, T, Context>(
        input.numel(),
        static_cast<T>(1),
        input.template data<T>(),
        gamma_,
        output->template mutable_data<T>(),
        &context_);
    return true;
  }

 protected:
  T gamma_;
};

} // namespace caffe2

#endif // CAFFE2_OPERATORS_ACCUMULATE_OP_H_