Narumol Prangnawarat | f10b15a | 2021-09-17 21:08:57 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "armnnOnnxParser/IOnnxParser.hpp" |
| 7 | #include "ParserPrototxtFixture.hpp" |
| 8 | #include "OnnxParserTestUtils.hpp" |
| 9 | |
| 10 | TEST_SUITE("OnnxParser_Gather") |
| 11 | { |
| 12 | |
| 13 | struct GatherMainFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 14 | { |
| 15 | GatherMainFixture(const std::vector<int>& indicesShape, |
| 16 | const std::vector<int>& indices, |
| 17 | const std::vector<int>& inputShape, |
| 18 | const std::vector<int>& outputShape) |
| 19 | { |
| 20 | m_Prototext = R"( |
| 21 | ir_version: 8 |
| 22 | producer_name: "onnx-example" |
| 23 | graph { |
| 24 | node { |
| 25 | output: "indices" |
| 26 | op_type: "Constant" |
| 27 | attribute { |
| 28 | name: "value" |
| 29 | t { |
| 30 | data_type: 7 |
| 31 | )" + ConstructIndicesString(indicesShape, indices) + R"( |
| 32 | name: "value" |
| 33 | } |
| 34 | type: TENSOR |
| 35 | } |
| 36 | } |
| 37 | node { |
| 38 | input: "input" |
| 39 | input: "indices" |
| 40 | output: "output" |
| 41 | op_type: "Gather" |
| 42 | attribute { |
| 43 | name: "axis" |
| 44 | i: 0 |
| 45 | type: INT |
| 46 | } |
| 47 | } |
| 48 | name: "gather-model" |
| 49 | input { |
| 50 | name: "input" |
| 51 | type { |
| 52 | tensor_type { |
| 53 | elem_type: 1 |
| 54 | shape { |
| 55 | )" + armnnUtils::ConstructTensorShapeString(inputShape) + R"( |
| 56 | } |
| 57 | } |
| 58 | } |
| 59 | } |
| 60 | output { |
| 61 | name: "output" |
| 62 | type { |
| 63 | tensor_type { |
| 64 | elem_type: 1 |
| 65 | shape { |
| 66 | )" + armnnUtils::ConstructTensorShapeString(outputShape) + R"( |
| 67 | } |
| 68 | } |
| 69 | } |
| 70 | } |
| 71 | })"; |
| 72 | } |
| 73 | std::string ConstructIndicesString(const std::vector<int>& indicesShape, const std::vector<int>& indices) |
| 74 | { |
| 75 | std::string shapeStr; |
| 76 | for (int i : indicesShape) |
| 77 | { |
| 78 | shapeStr = fmt::format(" {} dims: {}", shapeStr, i); |
| 79 | } |
| 80 | for (int i : indices) |
| 81 | { |
| 82 | shapeStr = fmt::format(" {} int64_data: {}", shapeStr, i); |
| 83 | } |
| 84 | return shapeStr; |
| 85 | } |
| 86 | }; |
| 87 | |
Narumol Prangnawarat | 452274c | 2021-09-23 16:12:19 +0100 | [diff] [blame] | 88 | struct GatherScalarFixture : GatherMainFixture |
| 89 | { |
| 90 | GatherScalarFixture() : GatherMainFixture({ }, { 0 }, { 8 }, { }) |
| 91 | { |
| 92 | Setup(); |
| 93 | } |
| 94 | }; |
| 95 | |
Narumol Prangnawarat | f10b15a | 2021-09-17 21:08:57 +0100 | [diff] [blame] | 96 | struct Gather1dFixture : GatherMainFixture |
| 97 | { |
| 98 | Gather1dFixture() : GatherMainFixture({ 4 }, { 0, 2, 1, 5 }, { 8 }, { 4 }) |
| 99 | { |
| 100 | Setup(); |
| 101 | } |
| 102 | }; |
| 103 | |
| 104 | struct Gather2dFixture : GatherMainFixture |
| 105 | { |
| 106 | Gather2dFixture() : GatherMainFixture({ 3 }, { 1, 3, 4 }, { 5, 2 }, { 3, 2 }) |
| 107 | { |
| 108 | Setup(); |
| 109 | } |
| 110 | }; |
| 111 | |
| 112 | struct Gather3dMultiIndicesFixture : GatherMainFixture |
| 113 | { |
| 114 | Gather3dMultiIndicesFixture() : GatherMainFixture({ 2, 3 }, { 1, 2, 1, 2, 1, 0 }, { 3, 2, 3 }, { 2, 3, 2, 3 }) |
| 115 | { |
| 116 | Setup(); |
| 117 | } |
| 118 | }; |
| 119 | |
| 120 | struct Gather4dFixture : GatherMainFixture |
| 121 | { |
| 122 | Gather4dFixture() : GatherMainFixture({ 3 }, { 0, 1, 3 }, { 5, 4, 3, 2 }, { 3, 4, 3, 2 }) |
| 123 | { |
| 124 | Setup(); |
| 125 | } |
| 126 | }; |
| 127 | |
Narumol Prangnawarat | 452274c | 2021-09-23 16:12:19 +0100 | [diff] [blame] | 128 | TEST_CASE_FIXTURE(GatherScalarFixture, "GatherScalarTest") |
| 129 | { |
| 130 | RunTest<1, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f }}}, |
| 131 | {{"output", { 1.0f }}}); |
| 132 | } |
| 133 | |
Narumol Prangnawarat | f10b15a | 2021-09-17 21:08:57 +0100 | [diff] [blame] | 134 | TEST_CASE_FIXTURE(Gather1dFixture, "Gather1dTest") |
| 135 | { |
Narumol Prangnawarat | 452274c | 2021-09-23 16:12:19 +0100 | [diff] [blame] | 136 | RunTest<1, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f }}}, |
| 137 | {{"output", { 1.0f, 3.0f, 2.0f, 6.0f }}}); |
Narumol Prangnawarat | f10b15a | 2021-09-17 21:08:57 +0100 | [diff] [blame] | 138 | } |
| 139 | |
| 140 | TEST_CASE_FIXTURE(Gather2dFixture, "Gather2dTest") |
| 141 | { |
Narumol Prangnawarat | 452274c | 2021-09-23 16:12:19 +0100 | [diff] [blame] | 142 | RunTest<2, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}, |
| 143 | {{"output", { 3.0f, 4.0f, 7.0f, 8.0f, 9.0f, 10.0f }}}); |
Narumol Prangnawarat | f10b15a | 2021-09-17 21:08:57 +0100 | [diff] [blame] | 144 | } |
| 145 | |
| 146 | TEST_CASE_FIXTURE(Gather3dMultiIndicesFixture, "Gather3dMultiIndicesTest") |
| 147 | { |
| 148 | RunTest<3, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, |
| 149 | 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, |
| 150 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f }}}, |
| 151 | {{"output", { 7.0f, 8.0f, 9.0f, |
| 152 | 10.0f, 11.0f, 12.0f, |
| 153 | 13.0f, 14.0f, 15.0f, |
| 154 | 16.0f, 17.0f, 18.0f, |
| 155 | 7.0f, 8.0f, 9.0f, |
| 156 | 10.0f, 11.0f, 12.0f, |
| 157 | 13.0f, 14.0f, 15.0f, |
| 158 | 16.0f, 17.0f, 18.0f, |
| 159 | 7.0f, 8.0f, 9.0f, |
| 160 | 10.0f, 11.0f, 12.0f, |
| 161 | 1.0f, 2.0f, 3.0f, |
| 162 | 4.0f, 5.0f, 6.0f }}}); |
| 163 | } |
| 164 | |
| 165 | TEST_CASE_FIXTURE(Gather4dFixture, "Gather4dTest") |
| 166 | { |
| 167 | RunTest<4, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 168 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, |
| 169 | 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 170 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, |
| 171 | 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, |
| 172 | 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, |
| 173 | 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, |
| 174 | 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, |
| 175 | 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, |
| 176 | 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, |
| 177 | 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, |
| 178 | 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, |
| 179 | 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, |
| 180 | 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, |
| 181 | 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, |
| 182 | 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, |
| 183 | 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, |
| 184 | 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, |
| 185 | 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, |
| 186 | 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, |
| 187 | 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, |
| 188 | 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, |
| 189 | 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, |
| 190 | 116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}}, |
| 191 | {{"output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, |
| 192 | 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, |
| 193 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 194 | 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, |
| 195 | 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, |
| 196 | 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, |
| 197 | 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, |
| 198 | 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, |
| 199 | 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, |
| 200 | 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, |
| 201 | 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, |
| 202 | 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}}); |
| 203 | } |
| 204 | |
| 205 | struct GatherRawDataFixture : public armnnUtils::ParserPrototxtFixture<armnnOnnxParser::IOnnxParser> |
| 206 | { |
| 207 | GatherRawDataFixture() |
| 208 | { |
| 209 | m_Prototext = R"( |
| 210 | ir_version: 8 |
| 211 | producer_name: "onnx-example" |
| 212 | graph { |
| 213 | node { |
| 214 | output: "indices" |
| 215 | op_type: "Constant" |
| 216 | attribute { |
| 217 | name: "value" |
| 218 | t { |
| 219 | dims: 3 |
| 220 | data_type: 7 |
| 221 | raw_data: |
| 222 | "\000\000\000\000\000\000\000\000\001\000\000\000\000\000\000\000\003\000\000\000\000\000\000\000" |
| 223 | name: "value" |
| 224 | } |
| 225 | type: TENSOR |
| 226 | } |
| 227 | } |
| 228 | node { |
| 229 | input: "input" |
| 230 | input: "indices" |
| 231 | output: "output" |
| 232 | op_type: "Gather" |
| 233 | attribute { |
| 234 | name: "axis" |
| 235 | i: 0 |
| 236 | type: INT |
| 237 | } |
| 238 | } |
| 239 | name: "gather-model" |
| 240 | input { |
| 241 | name: "input" |
| 242 | type { |
| 243 | tensor_type { |
| 244 | elem_type: 1 |
| 245 | shape { |
| 246 | dim { |
| 247 | dim_value: 5 |
| 248 | } |
| 249 | dim { |
| 250 | dim_value: 4 |
| 251 | } |
| 252 | dim { |
| 253 | dim_value: 3 |
| 254 | } |
| 255 | dim { |
| 256 | dim_value: 2 |
| 257 | } |
| 258 | } |
| 259 | } |
| 260 | } |
| 261 | } |
| 262 | output { |
| 263 | name: "output" |
| 264 | type { |
| 265 | tensor_type { |
| 266 | elem_type: 1 |
| 267 | shape { |
| 268 | dim { |
| 269 | dim_value: 3 |
| 270 | } |
| 271 | dim { |
| 272 | dim_value: 4 |
| 273 | } |
| 274 | dim { |
| 275 | dim_value: 3 |
| 276 | } |
| 277 | dim { |
| 278 | dim_value: 2 |
| 279 | } |
| 280 | } |
| 281 | } |
| 282 | } |
| 283 | } |
| 284 | })"; |
| 285 | Setup(); |
| 286 | } |
| 287 | }; |
| 288 | |
| 289 | TEST_CASE_FIXTURE(GatherRawDataFixture, "GatherRawDataTest") |
| 290 | { |
| 291 | RunTest<4, float>({{"input", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 292 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, |
| 293 | 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 294 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, |
| 295 | 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, |
| 296 | 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, |
| 297 | 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, |
| 298 | 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, |
| 299 | 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, |
| 300 | 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, |
| 301 | 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, |
| 302 | 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, |
| 303 | 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, |
| 304 | 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, |
| 305 | 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, |
| 306 | 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, |
| 307 | 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, |
| 308 | 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, |
| 309 | 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, |
| 310 | 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, |
| 311 | 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, |
| 312 | 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, |
| 313 | 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, |
| 314 | 116.0f, 117.0f, 118.0f, 119.0f, 120.0f }}}, |
| 315 | {{"output", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, |
| 316 | 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, |
| 317 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 318 | 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, |
| 319 | 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, |
| 320 | 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, |
| 321 | 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, |
| 322 | 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, |
| 323 | 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, |
| 324 | 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, |
| 325 | 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, |
| 326 | 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f }}}); |
| 327 | } |
| 328 | |
| 329 | } |