ReLU.cpp

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/*
 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
 *
 * 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 "ReLU.h"
#include "Common.h"
 
#include <mir/ShapeRange.h>
#include <mir/Tensor.h>
 
#include <algorithm>
 
namespace mir_interpreter
{
 
template <typename T> struct ReLUImpl
{
  static void run(const mir::TensorVariant &arg, mir::TensorVariant &result);
};
 
template <typename T>
void ReLUImpl<T>::run(const mir::TensorVariant &arg, mir::TensorVariant &result)
{
  mir::Tensor<T> arg_accessor(arg);
  mir::Tensor<T> res_accessor(result);
 
  for (const auto &index : mir::ShapeRange(result.getShape()))
  {
    res_accessor.at(index) = std::max(arg_accessor.at(index), static_cast<T>(0));
  }
}
 
template <> struct ReLUImpl<uint8_t>
{
  static void run(const mir::TensorVariant &arg, mir::TensorVariant &result)
  {
    throw std::runtime_error{"NYI"};
  }
};
 
void ReLU(const mir::TensorVariant &arg, mir::TensorVariant &result)
{
  dispatch<ReLUImpl>(arg.getElementType(), arg, result);
};
 
} // namespace mir_interpreter