Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 1 | /* |
Pablo Tello | 54e98d9 | 2019-02-05 16:16:19 +0000 | [diff] [blame] | 2 | * Copyright (c) 2018-2019 ARM Limited. |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "WidthConcatenateLayer.h" |
| 25 | |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 26 | #include "tests/validation/Helpers.h" |
| 27 | |
| 28 | namespace arm_compute |
| 29 | { |
| 30 | namespace test |
| 31 | { |
| 32 | namespace validation |
| 33 | { |
| 34 | namespace reference |
| 35 | { |
| 36 | template <typename T> |
Pablo Tello | 54e98d9 | 2019-02-05 16:16:19 +0000 | [diff] [blame] | 37 | SimpleTensor<T> widthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs, SimpleTensor<T> &dst) |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 38 | { |
| 39 | // Create reference |
| 40 | std::vector<TensorShape> shapes; |
| 41 | |
| 42 | for(const auto &src : srcs) |
| 43 | { |
| 44 | shapes.emplace_back(src.shape()); |
| 45 | } |
| 46 | |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 47 | // Compute reference |
| 48 | int width_offset = 0; |
| 49 | const int width_out = dst.shape().x(); |
| 50 | |
| 51 | // Set output tensor to 0 |
| 52 | std::fill_n(dst.data(), dst.num_elements(), 0); |
| 53 | |
| 54 | for(const auto &src : srcs) |
| 55 | { |
| 56 | ARM_COMPUTE_ERROR_ON(width_offset >= width_out); |
| 57 | |
Michele Di Giorgio | e6dbde0 | 2018-10-19 15:46:19 +0100 | [diff] [blame] | 58 | const int width = src.shape().x(); |
| 59 | const int height = src.shape().y(); |
| 60 | const int depth = src.shape().z(); |
| 61 | const int upper_dims = src.shape().total_size() / (width * height * depth); |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 62 | |
| 63 | const T *src_ptr = src.data(); |
| 64 | T *dst_ptr = dst.data(); |
| 65 | |
Michele Di Giorgio | e6dbde0 | 2018-10-19 15:46:19 +0100 | [diff] [blame] | 66 | for(int u = 0; u < upper_dims; ++u) |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 67 | { |
Michele Di Giorgio | e6dbde0 | 2018-10-19 15:46:19 +0100 | [diff] [blame] | 68 | for(int d = 0; d < depth; ++d) |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 69 | { |
Michele Di Giorgio | e6dbde0 | 2018-10-19 15:46:19 +0100 | [diff] [blame] | 70 | for(int r = 0; r < height; ++r) |
| 71 | { |
| 72 | const int offset = u * height * depth + d * height + r; |
Pablo Tello | 54e98d9 | 2019-02-05 16:16:19 +0000 | [diff] [blame] | 73 | if(src.data_type() == DataType::QASYMM8 && src.quantization_info() != dst.quantization_info()) |
| 74 | { |
| 75 | std::transform(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out, [src, dst](T t) |
| 76 | { |
| 77 | const float dequantized_input = src.quantization_info().dequantize(t); |
| 78 | return dst.quantization_info().quantize(dequantized_input, RoundingPolicy::TO_NEAREST_UP); |
| 79 | }); |
| 80 | src_ptr += width; |
| 81 | } |
| 82 | else |
| 83 | { |
| 84 | std::copy(src_ptr, src_ptr + width, dst_ptr + width_offset + offset * width_out); |
| 85 | src_ptr += width; |
| 86 | } |
Michele Di Giorgio | e6dbde0 | 2018-10-19 15:46:19 +0100 | [diff] [blame] | 87 | } |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 88 | } |
| 89 | } |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 90 | width_offset += width; |
| 91 | } |
| 92 | |
| 93 | return dst; |
| 94 | } |
| 95 | |
Pablo Tello | 54e98d9 | 2019-02-05 16:16:19 +0000 | [diff] [blame] | 96 | template SimpleTensor<float> widthconcatenate_layer(const std::vector<SimpleTensor<float>> &srcs, SimpleTensor<float> &dst); |
| 97 | template SimpleTensor<half> widthconcatenate_layer(const std::vector<SimpleTensor<half>> &srcs, SimpleTensor<half> &dst); |
| 98 | template SimpleTensor<uint8_t> widthconcatenate_layer(const std::vector<SimpleTensor<uint8_t>> &srcs, SimpleTensor<uint8_t> &dst); |
Michalis Spyrou | 55b3d12 | 2018-05-09 09:59:23 +0100 | [diff] [blame] | 99 | } // namespace reference |
| 100 | } // namespace validation |
| 101 | } // namespace test |
| 102 | } // namespace arm_compute |