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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
51 lines
1.2 KiB
C++
51 lines
1.2 KiB
C++
#ifndef CAFFE2_OPERATORS_LPNORM_OP_H_
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#define CAFFE2_OPERATORS_LPNORM_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 LpNormOp : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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template <class... Args>
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explicit LpNormOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...),
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OP_SINGLE_ARG(int, "p", p_, 2),
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OP_SINGLE_ARG(bool, "average", average_, false) {
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CAFFE_ENFORCE(p_ == 1 || p_ == 2, "p should be either 1 or 2.");
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}
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bool RunOnDevice() override;
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protected:
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const int p_;
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const bool average_;
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};
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template <typename T, class Context>
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class LpNormGradientOp : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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template <class... Args>
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explicit LpNormGradientOp(Args&&... args)
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: Operator<Context>(std::forward<Args>(args)...),
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OP_SINGLE_ARG(int, "p", p_, 2),
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OP_SINGLE_ARG(bool, "average", average_, false) {
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CAFFE_ENFORCE(p_ == 1 || p_ == 2, "p should be either 1 or 2.");
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}
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bool RunOnDevice() override;
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protected:
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const int p_;
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const bool average_;
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};
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_LPNORM_OP_H_
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