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3c0ce51484
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14160 clang-format of C++ files Reviewed By: hx89 Differential Revision: D13115201 fbshipit-source-id: d2ad65f66209e00578ef90f87f41272de2d24aa9
47 lines
1.3 KiB
C++
47 lines
1.3 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include "caffe2/operators/elementwise_linear_op.h"
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#include "caffe2/quantization/server/dnnlowp_op.h"
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namespace caffe2 {
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using ElementwiseLinearFp32Op = ElementwiseLinearOp<float, CPUContext>;
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template <typename T>
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class ElementwiseLinearDNNLowPOp final
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: public DNNLowPOp<T, ElementwiseLinearFp32Op> {
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public:
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ElementwiseLinearDNNLowPOp(const OperatorDef& operator_def, Workspace* ws);
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bool RunOnDevice() override;
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USE_OPERATOR_FUNCTIONS(CPUContext);
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USE_DNNLOWP_OPERATOR_BASE_FUNCTIONS(T, ElementwiseLinearFp32Op);
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private:
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bool GetQuantizationParameters_();
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int axis_;
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dnnlowp::RequantizationParams requantization_params_;
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std::vector<T> a_quantized_;
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};
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} // namespace caffe2
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