Michalis Spyrou | 6a8d3b6 | 2018-08-31 10:07:09 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 ARM Limited. |
| 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 "BatchToSpaceLayer.h" |
| 25 | |
| 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 | // Batch to Space |
| 37 | template <typename T> |
| 38 | SimpleTensor<T> batch_to_space(const SimpleTensor<T> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape) |
| 39 | { |
| 40 | ARM_COMPUTE_ERROR_ON(block_shape[0] <= 0); |
| 41 | ARM_COMPUTE_ERROR_ON(block_shape[1] <= 0); |
| 42 | SimpleTensor<T> result(dst_shape, src.data_type()); |
| 43 | |
| 44 | int in_pos = 0; |
| 45 | const auto width_in = static_cast<int>(src.shape()[0]); |
| 46 | const auto height_in = static_cast<int>(src.shape()[1]); |
| 47 | const auto z_in = static_cast<int>(src.shape()[2]); |
| 48 | const auto batch_in = static_cast<int>(src.shape()[3]); |
| 49 | |
| 50 | for(int batch = 0; batch < batch_in; ++batch) |
| 51 | { |
| 52 | for(int z = 0; z < z_in; ++z) |
| 53 | { |
| 54 | for(int y = 0; y < height_in; ++y) |
| 55 | { |
| 56 | for(int x = 0; x < width_in; ++x) |
| 57 | { |
| 58 | const int r = src.shape()[3] / (block_shape[0] * block_shape[1]); |
| 59 | const int out_x = (block_shape[0] * x + (batch / r) % block_shape[0]); |
| 60 | const int out_y = (block_shape[1] * y + (batch / r) / block_shape[0]); |
| 61 | const int out_pos = out_x + dst_shape[0] * out_y + z * dst_shape[0] * dst_shape[1] + (batch % r) * dst_shape[0] * dst_shape[1] * dst_shape[2]; |
| 62 | result[out_pos] = src[in_pos]; |
| 63 | ++in_pos; |
| 64 | } |
| 65 | } |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | return result; |
| 70 | } |
| 71 | template SimpleTensor<float> batch_to_space(const SimpleTensor<float> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape); |
| 72 | template SimpleTensor<half> batch_to_space(const SimpleTensor<half> &src, const SimpleTensor<int32_t> &block_shape, const TensorShape &dst_shape); |
| 73 | } // namespace reference |
| 74 | } // namespace validation |
| 75 | } // namespace test |
| 76 | } // namespace arm_compute |