| /* |
| * Copyright (c) 2017-2018 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 "BatchNormalizationLayer.h" |
| |
| #include "ActivationLayer.h" |
| |
| #include "tests/validation/Helpers.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| // Batch Normalization Layer for floating point type |
| template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type *> |
| SimpleTensor<T> batch_normalization_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &mean, const SimpleTensor<T> &var, const SimpleTensor<T> &beta, const SimpleTensor<T> &gamma, float epsilon, |
| ActivationLayerInfo act_info) |
| { |
| SimpleTensor<T> result(src.shape(), src.data_type()); |
| |
| const auto cols = static_cast<int>(src.shape()[0]); |
| const auto rows = static_cast<int>(src.shape()[1]); |
| const auto depth = static_cast<int>(src.shape()[2]); |
| const int upper_dims = src.shape().total_size() / (cols * rows * depth); |
| |
| for(int r = 0; r < upper_dims; ++r) |
| { |
| for(int i = 0; i < depth; ++i) |
| { |
| for(int k = 0; k < rows; ++k) |
| { |
| for(int l = 0; l < cols; ++l) |
| { |
| const int pos = l + k * cols + i * rows * cols + r * cols * rows * depth; |
| const float denominator = sqrt(var[i] + epsilon); |
| const float numerator = src[pos] - mean[i]; |
| const float x_bar = numerator / denominator; |
| result[pos] = beta[i] + x_bar * gamma[i]; |
| } |
| } |
| } |
| } |
| |
| if(act_info.enabled()) |
| { |
| result = activation_layer(result, act_info); |
| } |
| |
| return result; |
| } |
| template SimpleTensor<float> batch_normalization_layer(const SimpleTensor<float> &src, const SimpleTensor<float> &mean, const SimpleTensor<float> &var, const SimpleTensor<float> &beta, |
| const SimpleTensor<float> &gamma, float epsilon, ActivationLayerInfo act_info); |
| template SimpleTensor<half> batch_normalization_layer(const SimpleTensor<half> &src, const SimpleTensor<half> &mean, const SimpleTensor<half> &var, |
| const SimpleTensor<half> &beta, |
| const SimpleTensor<half> &gamma, float epsilon, ActivationLayerInfo act_info); |
| |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |