| /* |
| * 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 "QuantizationLayer.h" |
| |
| #include <cmath> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> |
| SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src) |
| { |
| // Create reference |
| SimpleTensor<uint8_t> dst{ src.shape(), DataType::U8 }; |
| |
| const int width = src.shape().x(); |
| const int height = src.shape().y(); |
| const int depth = src.shape().z(); |
| const int stride_w = width * height * depth; |
| const int num_batches = src.shape().total_size_upper(3); |
| |
| for(int k = 0; k < num_batches; ++k) |
| { |
| // Compute min and max of the 3D tensor |
| float min = src[k * stride_w]; |
| float max = src[k * stride_w]; |
| |
| // Look for min and max values |
| for(int i = 1; i < stride_w; ++i) |
| { |
| float val = src[i + k * stride_w]; |
| min = std::min(min, val); |
| max = std::max(max, val); |
| } |
| |
| // Saturate the result in case min = max |
| if(min == max) |
| { |
| min = 0.0f; |
| max = 1.0f; |
| } |
| |
| const float range = max - min; |
| |
| for(int i = 0; i < stride_w; ++i) |
| { |
| // map values to range [0.0, 1.0] |
| float val = src[i + k * stride_w]; |
| const float normalized = (val - min) / range; |
| dst[i + k * stride_w] = static_cast<uint8_t>(std::min(255.0f, normalized * 256.0f)); |
| } |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<float> &src); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |