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Diffstat (limited to 'tests/validation/reference/MaxUnpoolingLayer.cpp')
| -rw-r--r-- | tests/validation/reference/MaxUnpoolingLayer.cpp | 109 |
1 files changed, 109 insertions, 0 deletions
diff --git a/tests/validation/reference/MaxUnpoolingLayer.cpp b/tests/validation/reference/MaxUnpoolingLayer.cpp new file mode 100644 index 0000000000..880018e99f --- /dev/null +++ b/tests/validation/reference/MaxUnpoolingLayer.cpp @@ -0,0 +1,109 @@ +/* + * Copyright (c) 2020 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 "MaxUnpoolingLayer.h" + +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +using namespace arm_compute::misc::shape_calculator; + +template <typename T> +SimpleTensor<T> max_unpooling_layer_internal(const SimpleTensor<T> &src, const PoolingLayerInfo &info, + const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, + TensorShape output_shape, DataLayout data_layout) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_UNUSED(output_qinfo); + ARM_COMPUTE_UNUSED(data_layout); + // Create reference + SimpleTensor<T> dst{ output_shape, src.data_type(), 1 }; + ARM_COMPUTE_ERROR_ON(indices.shape().total_size() == 0); + std::fill_n(dst.data(), dst.num_elements(), 0); + const auto w_indices = static_cast<int>(indices.shape()[0]); + const auto h_indices = static_cast<int>(indices.shape()[1]); + const auto z_indices = static_cast<int>(indices.shape()[2]); + const auto b_indices = static_cast<int>(indices.shape()[3]); + const auto w_dst = static_cast<int>(dst.shape()[0]); + const auto h_dst = static_cast<int>(dst.shape()[1]); + const auto z_dst = static_cast<int>(dst.shape()[2]); + for(int b = 0; b < b_indices; ++b) + { + for(int r = 0; r < z_indices; ++r) + { + for(int h = 0; h < h_indices; ++h) + { + for(int w = 0; w < w_indices; ++w) + { + const uint32_t index_into_dst = indices[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w]; + const auto input_val = src[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w]; + auto *ptr = &dst[b * z_dst * h_dst * w_dst]; + ptr[index_into_dst] = input_val; + } + } + } + } + return dst; +} + +template <> +SimpleTensor<uint8_t> max_unpooling_layer<uint8_t>( + const SimpleTensor<uint8_t> &src, const PoolingLayerInfo &info, + const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, + TensorShape output_shape, DataLayout data_layout) + +{ + SimpleTensor<float> src_tmp = convert_from_asymmetric(src); + SimpleTensor<float> dst_tmp = max_unpooling_layer_internal<float>(src_tmp, info, output_qinfo, indices, output_shape, data_layout); + SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, output_qinfo); + return dst; +} + +template <typename T> +SimpleTensor<T> max_unpooling_layer(const SimpleTensor<T> &src, const PoolingLayerInfo &info, + const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, + TensorShape output_shape, DataLayout data_layout) +{ + return max_unpooling_layer_internal<T>(src, info, output_qinfo, indices, output_shape, data_layout); +} + +template SimpleTensor<float> max_unpooling_layer(const SimpleTensor<float> &src, const PoolingLayerInfo &info, + const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, + TensorShape output_shape, DataLayout data_layout); +template SimpleTensor<half> max_unpooling_layer(const SimpleTensor<half> &src, const PoolingLayerInfo &info, + const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, + TensorShape output_shape, DataLayout data_layout); + +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute |