| /* |
| * Copyright (c) 2019 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 "InstanceNormalizationLayer.h" |
| |
| #include "tests/validation/Helpers.h" |
| |
| #include <algorithm> |
| #include <cmath> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T> |
| SimpleTensor<T> instance_normalization(const SimpleTensor<T> &src, float gamma, float beta, float epsilon) |
| { |
| SimpleTensor<T> dst{ src.shape(), src.data_type() }; |
| |
| //NCHW |
| const size_t w_size = src.shape()[0]; |
| const size_t h_size = src.shape()[1]; |
| const size_t c_size = src.shape()[2]; |
| const size_t n_size = src.shape()[3]; |
| |
| for(size_t n_i = 0; n_i < n_size; ++n_i) |
| { |
| for(size_t c_i = 0; c_i < c_size; ++c_i) |
| { |
| float sum_h_w = 0; |
| float sum_sq_h_w = 0; |
| |
| for(size_t h_i = 0; h_i < h_size; ++h_i) |
| { |
| for(size_t w_i = 0; w_i < w_size; ++w_i) |
| { |
| float val = src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))]; |
| sum_h_w += val; |
| sum_sq_h_w += val*val; |
| } |
| } |
| //Compute mean |
| const float mean_h_w = sum_h_w / (h_size * w_size); |
| //Compute variance |
| const float var_h_w = sum_sq_h_w / (h_size * w_size) - mean_h_w * mean_h_w;; |
| |
| //Apply mean |
| for(size_t h_i = 0; h_i < h_size; ++h_i) |
| { |
| for(size_t w_i = 0; w_i < w_size; ++w_i) |
| { |
| //Compute output |
| size_t index = coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i)); |
| dst[index] = (src[index] - mean_h_w) * gamma / std::sqrt(var_h_w + epsilon) + beta; |
| } |
| } |
| } |
| } |
| return dst; |
| } |
| |
| template SimpleTensor<float> instance_normalization(const SimpleTensor<float> &src, float gamma, float beta, float epsilon); |
| template SimpleTensor<half> instance_normalization(const SimpleTensor<half> &src, float gamma, float beta, float epsilon); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |