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/*
* Copyright (c) 2017-2020 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;
case ActivationLayerInfo::ActivationFunction::HARD_SWISH:
ret = x * ((std::min(std::max(static_cast<T>(x + 3), static_cast<T>(0.0f)), static_cast<T>(6.0f))) * 0.166666667f);
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 */
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