| /* |
| * Copyright (c) 2018, 2023 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 "BatchToSpaceLayer.h" |
| |
| #include "arm_compute/core/Validate.h" |
| #include "tests/validation/Helpers.h" |
| |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| // Batch to Space |
| template <typename T> |
| SimpleTensor<T> batch_to_space(const SimpleTensor<T> &src, const std::vector<int32_t> &block_shape, const CropInfo &crop_info, const TensorShape &dst_shape) |
| { |
| ARM_COMPUTE_ERROR_ON(block_shape[0] < 1); |
| ARM_COMPUTE_ERROR_ON(block_shape[1] < 1); |
| const auto expected_dst_shape = misc::shape_calculator::compute_batch_to_space_shape(DataLayout::NCHW, src.shape(), block_shape[0], block_shape[1], crop_info); |
| ARM_COMPUTE_ERROR_ON(arm_compute::detail::have_different_dimensions(expected_dst_shape, dst_shape, 0)); |
| ARM_COMPUTE_UNUSED(expected_dst_shape); |
| |
| SimpleTensor<T> result(dst_shape, src.data_type()); |
| int out_pos = 0; |
| const auto width_out = static_cast<int>(dst_shape[0]); |
| const auto height_out = static_cast<int>(dst_shape[1]); |
| const auto z_out = static_cast<int>(dst_shape[2]); |
| const auto batch_out = static_cast<int>(dst_shape[3]); |
| |
| for(int batch = 0; batch < batch_out; ++batch) |
| { |
| for(int z = 0; z < z_out; ++z) |
| { |
| for(int y = 0; y < height_out; ++y) |
| { |
| for(int x = 0; x < width_out; ++x) |
| { |
| const int x_c = x + crop_info.left; |
| const int y_c = y + crop_info.top; |
| const int in_batch = batch + ((x_c % block_shape[0]) + (y_c % block_shape[1]) * (block_shape[0])) * dst_shape[3]; |
| const int in_x = x_c / block_shape[0]; |
| const int in_y = y_c / block_shape[1]; |
| const int in_pos = in_x + src.shape()[0] * in_y + z * src.shape()[0] * src.shape()[1] + in_batch * src.shape()[0] * src.shape()[1] * src.shape()[2]; |
| result[out_pos] = src[in_pos]; |
| ++out_pos; |
| } |
| } |
| } |
| } |
| |
| return result; |
| } |
| template SimpleTensor<float> batch_to_space(const SimpleTensor<float> &src, const std::vector<int32_t> &block_shape, const CropInfo &crop_info, const TensorShape &dst_shape); |
| template SimpleTensor<half> batch_to_space(const SimpleTensor<half> &src, const std::vector<int32_t> &block_shape, const CropInfo &crop_info, const TensorShape &dst_shape); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |