Ioan-Cristian Szabo | ae3c8ab | 2017-11-16 17:55:03 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017-2018 ARM Limited. |
| 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 | #ifndef ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "tests/AssetsLibrary.h" |
| 30 | #include "tests/Globals.h" |
| 31 | #include "tests/IAccessor.h" |
| 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Fixture.h" |
| 34 | #include "tests/validation/Helpers.h" |
| 35 | #include "tests/validation/reference/ChannelCombine.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | namespace |
| 44 | { |
| 45 | template <typename TensorType> |
| 46 | inline std::vector<TensorType> create_tensor_planes(const TensorShape &shape, Format format) |
| 47 | { |
| 48 | TensorShape image_shape = adjust_odd_shape(shape, format); |
| 49 | TensorInfo info(image_shape, Format::U8); |
| 50 | |
| 51 | std::vector<TensorType> tensor_planes; |
| 52 | |
| 53 | switch(format) |
| 54 | { |
| 55 | case Format::RGB888: |
| 56 | case Format::RGBA8888: |
| 57 | case Format::YUV444: |
| 58 | { |
| 59 | tensor_planes.resize(3); |
| 60 | |
| 61 | if(format == Format::RGBA8888) |
| 62 | { |
| 63 | tensor_planes.resize(4); |
| 64 | } |
| 65 | |
| 66 | for(unsigned int plane_idx = 0; plane_idx < tensor_planes.size(); ++plane_idx) |
| 67 | { |
| 68 | tensor_planes[plane_idx].allocator()->init(info); |
| 69 | } |
| 70 | |
| 71 | break; |
| 72 | } |
| 73 | case Format::YUYV422: |
| 74 | case Format::UYVY422: |
| 75 | { |
| 76 | const TensorShape uv_shape = calculate_subsampled_shape(image_shape, format); |
| 77 | const TensorInfo info_hor2(uv_shape, Format::U8); |
| 78 | |
| 79 | tensor_planes.resize(3); |
| 80 | |
| 81 | tensor_planes[0].allocator()->init(info); |
| 82 | tensor_planes[1].allocator()->init(info_hor2); |
| 83 | tensor_planes[2].allocator()->init(info_hor2); |
| 84 | break; |
| 85 | } |
| 86 | case Format::NV12: |
| 87 | case Format::NV21: |
| 88 | case Format::IYUV: |
| 89 | { |
| 90 | const TensorShape sub2_shape = calculate_subsampled_shape(image_shape, format); |
| 91 | const TensorInfo info_sub2(sub2_shape, Format::U8); |
| 92 | |
| 93 | tensor_planes.resize(3); |
| 94 | |
| 95 | tensor_planes[0].allocator()->init(info); |
| 96 | tensor_planes[1].allocator()->init(info_sub2); |
| 97 | tensor_planes[2].allocator()->init(info_sub2); |
| 98 | break; |
| 99 | } |
| 100 | default: |
| 101 | ARM_COMPUTE_ERROR("Not supported"); |
| 102 | break; |
| 103 | } |
| 104 | |
| 105 | return tensor_planes; |
| 106 | } |
| 107 | } // namespace |
| 108 | |
| 109 | template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 110 | class ChannelCombineValidationFixture : public framework::Fixture |
| 111 | { |
| 112 | public: |
| 113 | template <typename...> |
| 114 | void setup(TensorShape shape, Format format) |
| 115 | { |
| 116 | _num_planes = num_planes_from_format(format); |
| 117 | _target = compute_target(shape, format); |
| 118 | _reference = compute_reference(shape, format); |
| 119 | } |
| 120 | |
| 121 | protected: |
| 122 | template <typename U> |
| 123 | void fill(U &&tensor, int i) |
| 124 | { |
| 125 | library->fill_tensor_uniform(tensor, i); |
| 126 | } |
| 127 | |
| 128 | template <typename U> |
| 129 | std::vector<SimpleTensor<U>> create_tensor_planes_reference(const TensorShape &shape, Format format) |
| 130 | { |
| 131 | std::vector<SimpleTensor<U>> tensor_planes; |
| 132 | |
| 133 | TensorShape image_shape = adjust_odd_shape(shape, format); |
| 134 | |
| 135 | switch(format) |
| 136 | { |
| 137 | case Format::RGB888: |
| 138 | case Format::RGBA8888: |
| 139 | case Format::YUV444: |
| 140 | { |
| 141 | if(format == Format::RGBA8888) |
| 142 | { |
| 143 | tensor_planes.emplace_back(image_shape, Format::U8); |
| 144 | } |
| 145 | |
| 146 | tensor_planes.emplace_back(image_shape, Format::U8); |
| 147 | tensor_planes.emplace_back(image_shape, Format::U8); |
| 148 | tensor_planes.emplace_back(image_shape, Format::U8); |
| 149 | break; |
| 150 | } |
| 151 | case Format::YUYV422: |
| 152 | case Format::UYVY422: |
| 153 | { |
| 154 | const TensorShape hor2_shape = calculate_subsampled_shape(image_shape, format); |
| 155 | |
| 156 | tensor_planes.emplace_back(image_shape, Format::U8); |
| 157 | tensor_planes.emplace_back(hor2_shape, Format::U8); |
| 158 | tensor_planes.emplace_back(hor2_shape, Format::U8); |
| 159 | break; |
| 160 | } |
| 161 | case Format::NV12: |
| 162 | case Format::NV21: |
| 163 | case Format::IYUV: |
| 164 | { |
| 165 | const TensorShape shape_sub2 = calculate_subsampled_shape(image_shape, format); |
| 166 | |
| 167 | tensor_planes.emplace_back(image_shape, Format::U8); |
| 168 | tensor_planes.emplace_back(shape_sub2, Format::U8); |
| 169 | tensor_planes.emplace_back(shape_sub2, Format::U8); |
| 170 | break; |
| 171 | } |
| 172 | default: |
| 173 | ARM_COMPUTE_ERROR("Not supported"); |
| 174 | break; |
| 175 | } |
| 176 | |
| 177 | return tensor_planes; |
| 178 | } |
| 179 | |
| 180 | MultiImageType compute_target(const TensorShape &shape, Format format) |
| 181 | { |
| 182 | // Create tensors |
| 183 | std::vector<TensorType> ref_src = create_tensor_planes<TensorType>(shape, format); |
| 184 | MultiImageType dst = create_multi_image<MultiImageType>(shape, format); |
| 185 | |
| 186 | // Create and configure function |
| 187 | FunctionType channel_combine; |
| 188 | |
| 189 | if(1 == _num_planes) |
| 190 | { |
| 191 | const TensorType *tensor_extra = ((Format::RGBA8888 == format) ? &ref_src[3] : nullptr); |
| 192 | TensorType *tensor_dst = dynamic_cast<TensorType *>(dst.plane(0)); |
| 193 | |
| 194 | channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], tensor_extra, tensor_dst); |
| 195 | } |
| 196 | else |
| 197 | { |
| 198 | channel_combine.configure(&ref_src[0], &ref_src[1], &ref_src[2], &dst); |
| 199 | } |
| 200 | |
| 201 | for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) |
| 202 | { |
| 203 | const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx)); |
| 204 | |
| 205 | ARM_COMPUTE_EXPECT(dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); |
| 206 | } |
| 207 | |
| 208 | for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) |
| 209 | { |
| 210 | ARM_COMPUTE_EXPECT(ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS); |
| 211 | } |
| 212 | |
| 213 | // Allocate tensors |
| 214 | dst.allocate(); |
| 215 | |
| 216 | for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) |
| 217 | { |
| 218 | ref_src[plane_idx].allocator()->allocate(); |
| 219 | } |
| 220 | |
| 221 | for(unsigned int plane_idx = 0; plane_idx < _num_planes; ++plane_idx) |
| 222 | { |
| 223 | const TensorType *dst_plane = static_cast<const TensorType *>(dst.plane(plane_idx)); |
| 224 | |
| 225 | ARM_COMPUTE_EXPECT(!dst_plane->info()->is_resizable(), framework::LogLevel::ERRORS); |
| 226 | } |
| 227 | |
| 228 | for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) |
| 229 | { |
| 230 | ARM_COMPUTE_EXPECT(!ref_src[plane_idx].info()->is_resizable(), framework::LogLevel::ERRORS); |
| 231 | } |
| 232 | |
| 233 | // Fill tensor planes |
| 234 | for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) |
| 235 | { |
| 236 | fill(AccessorType(ref_src[plane_idx]), plane_idx); |
| 237 | } |
| 238 | |
| 239 | // Compute function |
| 240 | channel_combine.run(); |
| 241 | |
| 242 | return dst; |
| 243 | } |
| 244 | |
| 245 | std::vector<SimpleTensor<T>> compute_reference(const TensorShape &shape, Format format) |
| 246 | { |
| 247 | // Create reference |
| 248 | std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference<T>(shape, format); |
| 249 | |
| 250 | // Fill references |
| 251 | for(unsigned int plane_idx = 0; plane_idx < ref_src.size(); ++plane_idx) |
| 252 | { |
| 253 | fill(ref_src[plane_idx], plane_idx); |
| 254 | } |
| 255 | |
| 256 | return reference::channel_combine<T>(shape, ref_src, format); |
| 257 | } |
| 258 | |
| 259 | unsigned int _num_planes{}; |
| 260 | MultiImageType _target{}; |
| 261 | std::vector<SimpleTensor<T>> _reference{}; |
| 262 | }; |
| 263 | } // namespace validation |
| 264 | } // namespace test |
| 265 | } // namespace arm_compute |
| 266 | #endif /* ARM_COMPUTE_TEST_CHANNEL_COMBINE_FIXTURE */ |