| /* |
| * 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 |