102 lines
3.8 KiB
C++
102 lines
3.8 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_ACTIVATION_LAYER_H
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#define ARM_COMPUTE_TEST_ACTIVATION_LAYER_H
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#include "tests/SimpleTensor.h"
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#include "tests/validation/Helpers.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace reference
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{
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template <typename T>
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inline T activate_float(T x, T a, T b, ActivationLayerInfo::ActivationFunction activation)
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{
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T ret;
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switch(activation)
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{
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case ActivationLayerInfo::ActivationFunction::ABS:
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ret = std::abs(x);
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break;
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case ActivationLayerInfo::ActivationFunction::LINEAR:
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ret = a * x + b;
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break;
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case ActivationLayerInfo::ActivationFunction::LOGISTIC:
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ret = static_cast<T>(1) / (static_cast<T>(1) + std::exp(-x));
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break;
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case ActivationLayerInfo::ActivationFunction::RELU:
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ret = std::max<T>(static_cast<T>(0), x);
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break;
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case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
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ret = std::min<T>(a, std::max(static_cast<T>(0), x));
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break;
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case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
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ret = std::min<T>(a, std::max<T>(b, x));
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break;
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case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
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ret = (x > 0) ? x : a * x;
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break;
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case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
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ret = std::log(static_cast<T>(1) + std::exp(x));
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break;
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case ActivationLayerInfo::ActivationFunction::ELU:
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ret = (x > 0) ? x : a * (std::exp(x) - static_cast<T>(1));
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break;
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case ActivationLayerInfo::ActivationFunction::SQRT:
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ret = std::sqrt(x);
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break;
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case ActivationLayerInfo::ActivationFunction::SQUARE:
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ret = x * x;
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break;
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case ActivationLayerInfo::ActivationFunction::TANH:
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ret = a * std::tanh(b * x);
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break;
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case ActivationLayerInfo::ActivationFunction::IDENTITY:
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ret = x;
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break;
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case ActivationLayerInfo::ActivationFunction::HARD_SWISH:
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ret = x * ((std::min(std::max(static_cast<T>(x + 3), static_cast<T>(0.0f)), static_cast<T>(6.0f))) * 0.166666667f);
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break;
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default:
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ARM_COMPUTE_ERROR("Unsupported activation function");
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break;
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}
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return ret;
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}
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template <typename T>
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SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info, const QuantizationInfo &oq_info = QuantizationInfo());
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} // namespace reference
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_ACTIVATION_LAYER_H */
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