| /* |
| * 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 "NormalizationLayer.h" |
| |
| #include "arm_compute/core/Types.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> normalization_layer(const SimpleTensor<T> &src, NormalizationLayerInfo info) |
| { |
| // Create reference |
| SimpleTensor<T> dst{ src.shape(), src.data_type(), 1 }; |
| |
| // Compute reference |
| const uint32_t norm_size = info.norm_size(); |
| NormType type = info.type(); |
| float beta = info.beta(); |
| uint32_t kappa = info.kappa(); |
| |
| const int cols = src.shape()[0]; |
| const int rows = src.shape()[1]; |
| const int depth = src.shape()[2]; |
| int upper_dims = src.shape().total_size() / (cols * rows); |
| |
| float coeff = info.scale_coeff(); |
| int radius_cols = norm_size / 2; |
| |
| // IN_MAP_1D and CROSS_MAP normalize over a single axis only |
| int radius_rows = (NormType::IN_MAP_2D == type) ? norm_size / 2 : 0; |
| |
| if(type == NormType::CROSS_MAP) |
| { |
| // Remove also depth from upper dimensions since it is the dimension we |
| // want to use for normalization |
| upper_dims /= depth; |
| |
| for(int r = 0; r < upper_dims; ++r) |
| { |
| for(int i = 0; i < rows; ++i) |
| { |
| for(int k = 0; k < cols; ++k) |
| { |
| for(int l = 0; l < depth; ++l) |
| { |
| float accumulated_scale = 0.f; |
| |
| for(int j = -radius_cols; j <= radius_cols; ++j) |
| { |
| const int z = l + j; |
| |
| if(z >= 0 && z < depth) |
| { |
| const T value = src[k + i * cols + z * rows * cols + r * cols * rows * depth]; |
| accumulated_scale += value * value; |
| } |
| } |
| |
| dst[k + i * cols + l * rows * cols + r * cols * rows * depth] = kappa + accumulated_scale * coeff; |
| } |
| } |
| } |
| } |
| } |
| else |
| { |
| for(int r = 0; r < upper_dims; ++r) |
| { |
| for(int i = 0; i < rows; ++i) |
| { |
| for(int k = 0; k < cols; ++k) |
| { |
| float accumulated_scale = 0.f; |
| |
| for(int j = -radius_rows; j <= radius_rows; ++j) |
| { |
| const int y = i + j; |
| for(int l = -radius_cols; l <= radius_cols; ++l) |
| { |
| const int x = k + l; |
| |
| if((x >= 0 && y >= 0) && (x < cols && y < rows)) |
| { |
| const T value = src[x + y * cols + r * cols * rows]; |
| accumulated_scale += value * value; |
| } |
| } |
| } |
| |
| dst[k + i * cols + r * cols * rows] = kappa + accumulated_scale * coeff; |
| } |
| } |
| } |
| } |
| |
| if(beta == 1.f) |
| { |
| for(int i = 0; i < dst.num_elements(); ++i) |
| { |
| dst[i] = src[i] / dst[i]; |
| } |
| } |
| else if(beta == 0.5f) |
| { |
| for(int i = 0; i < dst.num_elements(); ++i) |
| { |
| dst[i] = src[i] / std::sqrt(dst[i]); |
| } |
| } |
| else |
| { |
| for(int i = 0; i < dst.num_elements(); ++i) |
| { |
| dst[i] = src[i] * std::exp(std::log(dst[i]) * -beta); |
| } |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<float> normalization_layer(const SimpleTensor<float> &src, NormalizationLayerInfo info); |
| template SimpleTensor<half> normalization_layer(const SimpleTensor<half> &src, NormalizationLayerInfo info); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |