| /* |
| * Copyright (c) 2017 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. |
| */ |
| #include "ActivationLayer.h" |
| |
| #include "tests/validation/FixedPoint.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/half.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> |
| SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info) |
| { |
| // Create reference |
| SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; |
| |
| // Compute reference |
| const T a(info.a()); |
| const T b(info.b()); |
| |
| for(int i = 0; i < src.num_elements(); ++i) |
| { |
| T x = src[i]; |
| |
| switch(info.activation()) |
| { |
| case ActivationLayerInfo::ActivationFunction::ABS: |
| dst[i] = std::abs(x); |
| break; |
| case ActivationLayerInfo::ActivationFunction::LINEAR: |
| dst[i] = a * x + b; |
| break; |
| case ActivationLayerInfo::ActivationFunction::LOGISTIC: |
| dst[i] = static_cast<T>(1) / (static_cast<T>(1) + std::exp(-x)); |
| break; |
| case ActivationLayerInfo::ActivationFunction::RELU: |
| dst[i] = std::max<T>(static_cast<T>(0), x); |
| break; |
| case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: |
| dst[i] = std::min<T>(a, std::max(static_cast<T>(0), x)); |
| break; |
| case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: |
| dst[i] = std::min<T>(a, std::max<T>(b, x)); |
| break; |
| case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: |
| dst[i] = (x > 0) ? x : a * x; |
| break; |
| case ActivationLayerInfo::ActivationFunction::SOFT_RELU: |
| dst[i] = std::log(static_cast<T>(1) + std::exp(x)); |
| break; |
| case ActivationLayerInfo::ActivationFunction::SQRT: |
| dst[i] = std::sqrt(x); |
| break; |
| case ActivationLayerInfo::ActivationFunction::SQUARE: |
| dst[i] = x * x; |
| break; |
| case ActivationLayerInfo::ActivationFunction::TANH: |
| dst[i] = a * std::tanh(b * x); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Unsupported activation function"); |
| } |
| } |
| |
| return dst; |
| } |
| |
| template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type> |
| SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info) |
| { |
| using namespace fixed_point_arithmetic; |
| |
| // Create reference |
| SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; |
| |
| // Compute reference |
| const int fixed_point_position = src.fixed_point_position(); |
| const fixed_point<T> a(info.a(), fixed_point_position); |
| const fixed_point<T> b(info.b(), fixed_point_position); |
| const fixed_point<T> const_0(0, fixed_point_position); |
| const fixed_point<T> const_1(1, fixed_point_position); |
| |
| for(int i = 0; i < src.num_elements(); ++i) |
| { |
| fixed_point<T> x(src[i], fixed_point_position, true); |
| |
| switch(info.activation()) |
| { |
| case ActivationLayerInfo::ActivationFunction::ABS: |
| dst[i] = abs(x).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::LINEAR: |
| dst[i] = add(b, mul(a, x)).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::LOGISTIC: |
| dst[i] = (const_1 / (const_1 + exp(-x))).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::RELU: |
| dst[i] = max(const_0, x).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: |
| dst[i] = min(a, max(const_0, x)).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: |
| dst[i] = min(a, max(b, x)).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: |
| dst[i] = (x > const_0) ? x.raw() : mul(a, x).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::SOFT_RELU: |
| dst[i] = log(const_1 + exp(x)).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::SQRT: |
| dst[i] = (const_1 / inv_sqrt(x)).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::SQUARE: |
| dst[i] = mul(x, x).raw(); |
| break; |
| case ActivationLayerInfo::ActivationFunction::TANH: |
| dst[i] = mul(a, tanh(mul(b, x))).raw(); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Unsupported activation function"); |
| } |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<float> activation_layer(const SimpleTensor<float> &src, ActivationLayerInfo info); |
| template SimpleTensor<half_float::half> activation_layer(const SimpleTensor<half_float::half> &src, ActivationLayerInfo info); |
| template SimpleTensor<qint8_t> activation_layer(const SimpleTensor<qint8_t> &src, ActivationLayerInfo info); |
| template SimpleTensor<qint16_t> activation_layer(const SimpleTensor<qint16_t> &src, ActivationLayerInfo info); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |