text: /*
   * Copyright (c) 2017-2019 ARM Limited.
   *
   * SPDX-License-Identifier: MIT
   *
   * Permission is hereby granted, free of charge, to any person obtaining a copy
   * of this software and associated documentation files (the "Software"), to
   * deal in the Software without restriction, including without limitation the
   * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
   * sell copies of the Software, and to permit persons to whom the Software is
   * furnished to do so, subject to the following conditions:
   *
   * The above copyright notice and this permission notice shall be included in all
   * copies or substantial portions of the Software.
   *
   * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
   * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
   * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
   * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
   * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
   * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
   * SOFTWARE.
   */
  #ifndef ARM_COMPUTE_TEST_ACTIVATION_LAYER_H
  #define ARM_COMPUTE_TEST_ACTIVATION_LAYER_H
  
  #include "tests/SimpleTensor.h"
  #include "tests/validation/Helpers.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  namespace reference
  {
  template <typename T>
  inline T activate_float(T x, T a, T b, ActivationLayerInfo::ActivationFunction activation)
  {
      T ret;
  
      switch(activation)
      {
          case ActivationLayerInfo::ActivationFunction::ABS:
              ret = std::abs(x);
              break;
          case ActivationLayerInfo::ActivationFunction::LINEAR:
              ret = a * x + b;
              break;
          case ActivationLayerInfo::ActivationFunction::LOGISTIC:
              ret = static_cast<T>(1) / (static_cast<T>(1) + std::exp(-x));
              break;
          case ActivationLayerInfo::ActivationFunction::RELU:
              ret = std::max<T>(static_cast<T>(0), x);
              break;
          case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
              ret = std::min<T>(a, std::max(static_cast<T>(0), x));
              break;
          case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
              ret = std::min<T>(a, std::max<T>(b, x));
              break;
          case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
              ret = (x > 0) ? x : a * x;
              break;
          case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
              ret = std::log(static_cast<T>(1) + std::exp(x));
              break;
          case ActivationLayerInfo::ActivationFunction::ELU:
              ret = (x > 0) ? x : a * (std::exp(x) - static_cast<T>(1));
              break;
          case ActivationLayerInfo::ActivationFunction::SQRT:
              ret = std::sqrt(x);
              break;
          case ActivationLayerInfo::ActivationFunction::SQUARE:
              ret = x * x;
              break;
          case ActivationLayerInfo::ActivationFunction::TANH:
              ret = a * std::tanh(b * x);
              break;
          case ActivationLayerInfo::ActivationFunction::IDENTITY:
              ret = x;
              break;
          default:
              ARM_COMPUTE_ERROR("Unsupported activation function");
              break;
      }
  
      return ret;
  }
  
  template <typename T>
  SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info, const QuantizationInfo &oq_info = QuantizationInfo());
  } // namespace reference
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  #endif /* ARM_COMPUTE_TEST_ACTIVATION_LAYER_H */
  