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Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
60 lines
1.8 KiB
C++
60 lines
1.8 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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#include "caffe2/operators/utility_ops.h"
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namespace caffe2 {
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template <class Context>
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class SumReluOp : public SumOp<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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SumReluOp(const OperatorDef& operator_def, Workspace* ws)
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: SumOp<Context>(operator_def, ws) {}
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template <typename T, typename M>
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bool DoRunWithType() {
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if (!SumOp<Context>::template DoRunWithType<T>()) {
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return false;
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}
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auto* output = Output(0);
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T* output_data = output->template mutable_data<T>();
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for (int i = 0; i < output->size(); ++i) {
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output_data[i] = std::max(static_cast<T>(0), output_data[i]);
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}
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return true;
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}
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bool RunOnDevice() override {
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if (Input(0).template IsType<float>()) {
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return DoRunWithType<float, float>();
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} else if (Input(0).template IsType<double>()) {
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return DoRunWithType<double, double>();
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} else if (Input(0).template IsType<int>()) {
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return DoRunWithType<int, int>();
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} else {
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CAFFE_THROW(
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"Sum operator only supports 32-bit float, 64-bit double and ints, but",
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" input was of type ",
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Input(0).dtype().name());
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}
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}
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};
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REGISTER_CPU_OPERATOR(SumRelu, SumReluOp<CPUContext>);
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} // namespace caffe2
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