pytorch/caffe2/quantization/server/elementwise_sum_relu_op.cc
Nikita Shulga a9b0a921d5 Disable avoid-non-const-global-variables lint check (#62008)
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
2021-07-22 18:04:40 -07:00

60 lines
1.8 KiB
C++

/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "caffe2/operators/utility_ops.h"
namespace caffe2 {
template <class Context>
class SumReluOp : public SumOp<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
SumReluOp(const OperatorDef& operator_def, Workspace* ws)
: SumOp<Context>(operator_def, ws) {}
template <typename T, typename M>
bool DoRunWithType() {
if (!SumOp<Context>::template DoRunWithType<T>()) {
return false;
}
auto* output = Output(0);
T* output_data = output->template mutable_data<T>();
for (int i = 0; i < output->size(); ++i) {
output_data[i] = std::max(static_cast<T>(0), output_data[i]);
}
return true;
}
bool RunOnDevice() override {
if (Input(0).template IsType<float>()) {
return DoRunWithType<float, float>();
} else if (Input(0).template IsType<double>()) {
return DoRunWithType<double, double>();
} else if (Input(0).template IsType<int>()) {
return DoRunWithType<int, int>();
} else {
CAFFE_THROW(
"Sum operator only supports 32-bit float, 64-bit double and ints, but",
" input was of type ",
Input(0).dtype().name());
}
}
};
REGISTER_CPU_OPERATOR(SumRelu, SumReluOp<CPUContext>);
} // namespace caffe2