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Diffstat (limited to 'tests/validation/reference/DepthToSpaceLayer.cpp')
-rw-r--r-- | tests/validation/reference/DepthToSpaceLayer.cpp | 75 |
1 files changed, 75 insertions, 0 deletions
diff --git a/tests/validation/reference/DepthToSpaceLayer.cpp b/tests/validation/reference/DepthToSpaceLayer.cpp new file mode 100644 index 0000000000..4135ce5471 --- /dev/null +++ b/tests/validation/reference/DepthToSpaceLayer.cpp @@ -0,0 +1,75 @@ +/* + * 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 "DepthToSpaceLayer.h" + +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +// Batch to Space +template <typename T> +SimpleTensor<T> depth_to_space(const SimpleTensor<T> &src, const TensorShape &dst_shape, int32_t block_shape) +{ + ARM_COMPUTE_ERROR_ON(block_shape <= 0); + SimpleTensor<T> result(dst_shape, src.data_type()); + + int in_pos = 0; + const auto width_in = static_cast<int>(src.shape()[0]); + const auto height_in = static_cast<int>(src.shape()[1]); + const auto channel_in = static_cast<int>(src.shape()[2]); + const auto batch_in = static_cast<int>(src.shape()[3]); + const int r = channel_in / (block_shape * block_shape); + + for(int b = 0; b < batch_in; ++b) + { + for(int z = 0; z < channel_in; ++z) + { + for(int y = 0; y < height_in; ++y) + { + for(int x = 0; x < width_in; ++x) + { + const int out_x = (block_shape * x + (z / r) % block_shape); + const int out_y = (block_shape * y + (z / r) / block_shape); + const int out_pos = out_x + dst_shape[0] * out_y + (z % r) * dst_shape[0] * dst_shape[1] + b * dst_shape[0] * dst_shape[1] * dst_shape[2]; + result[out_pos] = src[in_pos]; + ++in_pos; + } + } + } + } + + return result; +} +template SimpleTensor<float> depth_to_space(const SimpleTensor<float> &src, const TensorShape &dst_shape, int32_t block_shape); +template SimpleTensor<half> depth_to_space(const SimpleTensor<half> &src, const TensorShape &dst_shape, int32_t block_shape); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute |