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54c4b5a4db
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17082 clangr codemod Reviewed By: ezyang Differential Revision: D14078498 fbshipit-source-id: f7f65d6d81c7942293f53fdaa61f756d8b7360c1
42 lines
1.0 KiB
C++
42 lines
1.0 KiB
C++
#ifndef CAFFE2_OPERATORS_ACCUMULATE_OP_H_
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#define CAFFE2_OPERATORS_ACCUMULATE_OP_H_
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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template <typename T, class Context>
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class AccumulateOp final : public Operator<Context> {
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public:
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template <class... Args>
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explicit AccumulateOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...),
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gamma_(static_cast<T>(
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this->template GetSingleArgument<float>("gamma", 1.0))) {}
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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bool RunOnDevice() override {
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auto& input = Input(0);
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// TODO: the operator depends on output being set to 0 before the run
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auto* output = Output(0, input.sizes(), at::dtype<T>());
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math::Axpby<T, T, Context>(
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input.numel(),
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static_cast<T>(1),
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input.template data<T>(),
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gamma_,
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output->template mutable_data<T>(),
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&context_);
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return true;
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}
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protected:
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T gamma_;
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};
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_ACCUMULATE_OP_H_
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