morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2020 Arm Limited. |
morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 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 "MaxUnpoolingLayer.h" |
| 25 | |
| 26 | #include "arm_compute/core/Types.h" |
| 27 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| 28 | #include "tests/validation/Helpers.h" |
| 29 | |
| 30 | namespace arm_compute |
| 31 | { |
| 32 | namespace test |
| 33 | { |
| 34 | namespace validation |
| 35 | { |
| 36 | namespace reference |
| 37 | { |
| 38 | using namespace arm_compute::misc::shape_calculator; |
| 39 | |
| 40 | template <typename T> |
| 41 | SimpleTensor<T> max_unpooling_layer_internal(const SimpleTensor<T> &src, const PoolingLayerInfo &info, |
| 42 | const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, |
| 43 | TensorShape output_shape, DataLayout data_layout) |
| 44 | { |
| 45 | ARM_COMPUTE_UNUSED(info); |
| 46 | ARM_COMPUTE_UNUSED(output_qinfo); |
| 47 | ARM_COMPUTE_UNUSED(data_layout); |
| 48 | // Create reference |
| 49 | SimpleTensor<T> dst{ output_shape, src.data_type(), 1 }; |
| 50 | ARM_COMPUTE_ERROR_ON(indices.shape().total_size() == 0); |
| 51 | std::fill_n(dst.data(), dst.num_elements(), 0); |
| 52 | const auto w_indices = static_cast<int>(indices.shape()[0]); |
| 53 | const auto h_indices = static_cast<int>(indices.shape()[1]); |
| 54 | const auto z_indices = static_cast<int>(indices.shape()[2]); |
| 55 | const auto b_indices = static_cast<int>(indices.shape()[3]); |
| 56 | const auto w_dst = static_cast<int>(dst.shape()[0]); |
| 57 | const auto h_dst = static_cast<int>(dst.shape()[1]); |
| 58 | const auto z_dst = static_cast<int>(dst.shape()[2]); |
| 59 | for(int b = 0; b < b_indices; ++b) |
| 60 | { |
| 61 | for(int r = 0; r < z_indices; ++r) |
| 62 | { |
| 63 | for(int h = 0; h < h_indices; ++h) |
| 64 | { |
| 65 | for(int w = 0; w < w_indices; ++w) |
| 66 | { |
| 67 | const uint32_t index_into_dst = indices[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w]; |
| 68 | const auto input_val = src[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w]; |
| 69 | auto *ptr = &dst[b * z_dst * h_dst * w_dst]; |
| 70 | ptr[index_into_dst] = input_val; |
| 71 | } |
| 72 | } |
| 73 | } |
| 74 | } |
| 75 | return dst; |
| 76 | } |
| 77 | |
| 78 | template <> |
| 79 | SimpleTensor<uint8_t> max_unpooling_layer<uint8_t>( |
| 80 | const SimpleTensor<uint8_t> &src, const PoolingLayerInfo &info, |
| 81 | const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, |
| 82 | TensorShape output_shape, DataLayout data_layout) |
| 83 | |
| 84 | { |
| 85 | SimpleTensor<float> src_tmp = convert_from_asymmetric(src); |
| 86 | SimpleTensor<float> dst_tmp = max_unpooling_layer_internal<float>(src_tmp, info, output_qinfo, indices, output_shape, data_layout); |
| 87 | SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, output_qinfo); |
| 88 | return dst; |
| 89 | } |
| 90 | |
| 91 | template <typename T> |
| 92 | SimpleTensor<T> max_unpooling_layer(const SimpleTensor<T> &src, const PoolingLayerInfo &info, |
| 93 | const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, |
| 94 | TensorShape output_shape, DataLayout data_layout) |
| 95 | { |
| 96 | return max_unpooling_layer_internal<T>(src, info, output_qinfo, indices, output_shape, data_layout); |
| 97 | } |
| 98 | |
| 99 | template SimpleTensor<float> max_unpooling_layer(const SimpleTensor<float> &src, const PoolingLayerInfo &info, |
| 100 | const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, |
| 101 | TensorShape output_shape, DataLayout data_layout); |
Sheri Zhang | e068199 | 2020-07-14 15:29:28 +0100 | [diff] [blame] | 102 | template SimpleTensor<half> max_unpooling_layer(const SimpleTensor<half> &src, const PoolingLayerInfo &info, |
| 103 | const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices, |
| 104 | TensorShape output_shape, DataLayout data_layout); |
morgolock | 37722d9 | 2020-04-09 14:17:48 +0100 | [diff] [blame] | 105 | |
| 106 | } // namespace reference |
| 107 | } // namespace validation |
| 108 | } // namespace test |
| 109 | } // namespace arm_compute |