surmeh01 | 49b9e10 | 2018-05-17 14:11:25 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // See LICENSE file in the project root for full license information. |
| 4 | // |
| 5 | #include "DriverTestHelpers.hpp" |
| 6 | #include "TestTensor.hpp" |
| 7 | #include <boost/test/unit_test.hpp> |
| 8 | #include <log/log.h> |
| 9 | |
| 10 | |
| 11 | BOOST_AUTO_TEST_SUITE(MergerTests) |
| 12 | |
| 13 | using ArmnnDriver = armnn_driver::ArmnnDriver; |
| 14 | using DriverOptions = armnn_driver::DriverOptions; |
| 15 | using namespace driverTestHelpers; |
| 16 | |
| 17 | namespace |
| 18 | { |
| 19 | |
| 20 | void |
| 21 | MergerTestImpl(const std::vector<const TestTensor*> & inputs, |
| 22 | int32_t concatAxis, |
| 23 | const TestTensor & expectedOutputTensor, |
| 24 | ErrorStatus expectedPrepareStatus=ErrorStatus::NONE, |
| 25 | ErrorStatus expectedExecStatus=ErrorStatus::NONE) |
| 26 | { |
| 27 | std::unique_ptr<ArmnnDriver> driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| 28 | Model model{}; |
| 29 | |
| 30 | hidl_vec<uint32_t> modelInputIds; |
| 31 | modelInputIds.resize(inputs.size()+1); |
| 32 | for (uint32_t i = 0; i<inputs.size(); ++i) |
| 33 | { |
| 34 | modelInputIds[i] = i; |
| 35 | AddInputOperand(model, inputs[i]->GetDimensions()); |
| 36 | } |
| 37 | modelInputIds[inputs.size()] = inputs.size(); // add an id for the axis too |
| 38 | AddIntOperand(model, concatAxis); |
| 39 | AddOutputOperand(model, expectedOutputTensor.GetDimensions()); |
| 40 | |
| 41 | // make the concat operation |
| 42 | model.operations.resize(1); |
| 43 | model.operations[0].type = OperationType::CONCATENATION; |
| 44 | model.operations[0].inputs = modelInputIds; |
| 45 | model.operations[0].outputs = hidl_vec<uint32_t>{static_cast<uint32_t>(inputs.size()+1)}; |
| 46 | |
| 47 | // make the prepared model |
| 48 | ErrorStatus prepareStatus=ErrorStatus::NONE; |
| 49 | android::sp<IPreparedModel> preparedModel = PrepareModelWithStatus(model, |
| 50 | *driver, |
| 51 | prepareStatus, |
| 52 | expectedPrepareStatus); |
| 53 | BOOST_TEST(prepareStatus == expectedPrepareStatus); |
| 54 | if (prepareStatus != ErrorStatus::NONE) |
| 55 | { |
| 56 | // prepare failed, we cannot continue |
| 57 | return; |
| 58 | } |
| 59 | |
| 60 | BOOST_TEST(preparedModel.get() != nullptr); |
| 61 | if (preparedModel.get() == nullptr) |
| 62 | { |
| 63 | // don't spoil other tests if prepare failed |
| 64 | return; |
| 65 | } |
| 66 | |
| 67 | // construct the request |
| 68 | hidl_vec<RequestArgument> inputArguments; |
| 69 | hidl_vec<RequestArgument> outputArguments; |
| 70 | inputArguments.resize(inputs.size()); |
| 71 | outputArguments.resize(1); |
| 72 | |
| 73 | // the request's memory pools will follow the same order as |
| 74 | // the inputs |
| 75 | for (uint32_t i = 0; i<inputs.size(); ++i) |
| 76 | { |
| 77 | DataLocation inloc = {}; |
| 78 | inloc.poolIndex = i; |
| 79 | inloc.offset = 0; |
| 80 | inloc.length = inputs[i]->GetNumElements() * sizeof(float); |
| 81 | RequestArgument input = {}; |
| 82 | input.location = inloc; |
| 83 | input.dimensions = inputs[i]->GetDimensions(); |
| 84 | inputArguments[i] = input; |
| 85 | } |
| 86 | |
| 87 | // and an additional memory pool is needed for the output |
| 88 | { |
| 89 | DataLocation outloc = {}; |
| 90 | outloc.poolIndex = inputs.size(); |
| 91 | outloc.offset = 0; |
| 92 | outloc.length = expectedOutputTensor.GetNumElements() * sizeof(float); |
| 93 | RequestArgument output = {}; |
| 94 | output.location = outloc; |
| 95 | output.dimensions = expectedOutputTensor.GetDimensions(); |
| 96 | outputArguments[0] = output; |
| 97 | } |
| 98 | |
| 99 | // make the request based on the arguments |
| 100 | Request request = {}; |
| 101 | request.inputs = inputArguments; |
| 102 | request.outputs = outputArguments; |
| 103 | |
| 104 | // set the input data |
| 105 | for (uint32_t i = 0; i<inputs.size(); ++i) |
| 106 | { |
| 107 | AddPoolAndSetData(inputs[i]->GetNumElements(), |
| 108 | request, |
| 109 | inputs[i]->GetData()); |
| 110 | } |
| 111 | |
| 112 | // add memory for the output |
| 113 | android::sp<IMemory> outMemory = AddPoolAndGetData(expectedOutputTensor.GetNumElements(), request); |
| 114 | float* outdata = static_cast<float*>(static_cast<void*>(outMemory->getPointer())); |
| 115 | |
| 116 | // run the execution |
| 117 | auto execStatus = Execute(preparedModel, request, expectedExecStatus); |
| 118 | BOOST_TEST(execStatus == expectedExecStatus); |
| 119 | |
| 120 | if (execStatus == ErrorStatus::NONE) |
| 121 | { |
| 122 | // check the result if there was no error |
| 123 | const float * expectedOutput = expectedOutputTensor.GetData(); |
| 124 | for (unsigned int i=0; i<expectedOutputTensor.GetNumElements();++i) |
| 125 | { |
| 126 | BOOST_TEST(outdata[i] == expectedOutput[i]); |
| 127 | } |
| 128 | } |
| 129 | } |
| 130 | |
| 131 | } // namespace <anonymous> |
| 132 | |
| 133 | BOOST_AUTO_TEST_CASE(SimpleConcatAxis0) |
| 134 | { |
| 135 | int32_t axis = 0; |
| 136 | TestTensor aIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 137 | TestTensor bIn{armnn::TensorShape{1,1,1,1},{1}}; |
| 138 | TestTensor cIn{armnn::TensorShape{1,1,1,1},{2}}; |
| 139 | |
| 140 | TestTensor expected{armnn::TensorShape{3,1,1,1},{0,1,2}}; |
| 141 | |
| 142 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 143 | } |
| 144 | |
| 145 | BOOST_AUTO_TEST_CASE(ConcatAxis0_NoInterleave) |
| 146 | { |
| 147 | int32_t axis = 0; |
| 148 | TestTensor aIn{armnn::TensorShape{2,1,2,1},{0, 1, |
| 149 | 2, 3}}; |
| 150 | TestTensor bIn{armnn::TensorShape{3,1,2,1},{4, 5, |
| 151 | 6, 7, |
| 152 | 8, 9}}; |
| 153 | TestTensor cIn{armnn::TensorShape{1,1,2,1},{10, 11}}; |
| 154 | |
| 155 | TestTensor expected{armnn::TensorShape{6,1,2,1},{0, 1, |
| 156 | 2, 3, |
| 157 | 4, 5, |
| 158 | 6, 7, |
| 159 | 8, 9, |
| 160 | 10, 11}}; |
| 161 | |
| 162 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 163 | } |
| 164 | |
| 165 | BOOST_AUTO_TEST_CASE(SimpleConcatAxis1) |
| 166 | { |
| 167 | int32_t axis = 1; |
| 168 | TestTensor aIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 169 | TestTensor bIn{armnn::TensorShape{1,1,1,1},{1}}; |
| 170 | TestTensor cIn{armnn::TensorShape{1,1,1,1},{2}}; |
| 171 | |
| 172 | TestTensor expected{armnn::TensorShape{1,3,1,1},{0,1,2}}; |
| 173 | |
| 174 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 175 | } |
| 176 | |
| 177 | BOOST_AUTO_TEST_CASE(ConcatAxis1_NoInterleave) |
| 178 | { |
| 179 | int32_t axis = 1; |
| 180 | TestTensor aIn{armnn::TensorShape{1,2,2,1},{0, 1, |
| 181 | 2, 3}}; |
| 182 | TestTensor bIn{armnn::TensorShape{1,3,2,1},{4, 5, |
| 183 | 6, 7, |
| 184 | 8, 9}}; |
| 185 | TestTensor cIn{armnn::TensorShape{1,1,2,1},{10, 11}}; |
| 186 | |
| 187 | TestTensor expected{armnn::TensorShape{1,6,2,1},{0, 1, |
| 188 | 2, 3, |
| 189 | 4, 5, |
| 190 | 6, 7, |
| 191 | 8, 9, |
| 192 | 10, 11}}; |
| 193 | |
| 194 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 195 | } |
| 196 | |
| 197 | BOOST_AUTO_TEST_CASE(SimpleConcatAxis1_DoInterleave) |
| 198 | { |
| 199 | int32_t axis = 1; |
| 200 | TestTensor aIn{armnn::TensorShape{2,2,1,1},{0, 1, |
| 201 | 2, 3}}; |
| 202 | TestTensor bIn{armnn::TensorShape{2,3,1,1},{4, 5, 6, |
| 203 | 7, 8, 9}}; |
| 204 | TestTensor cIn{armnn::TensorShape{2,1,1,1},{10, |
| 205 | 11}}; |
| 206 | |
| 207 | TestTensor expected{armnn::TensorShape{2,6,1,1},{0, 1, 4, 5, 6, 10, |
| 208 | 2, 3, 7, 8, 9, 11}}; |
| 209 | |
| 210 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 211 | } |
| 212 | |
| 213 | BOOST_AUTO_TEST_CASE(SimpleConcatAxis2) |
| 214 | { |
| 215 | int32_t axis = 2; |
| 216 | TestTensor aIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 217 | TestTensor bIn{armnn::TensorShape{1,1,1,1},{1}}; |
| 218 | TestTensor cIn{armnn::TensorShape{1,1,1,1},{2}}; |
| 219 | |
| 220 | TestTensor expected{armnn::TensorShape{1,1,3,1},{0,1,2}}; |
| 221 | |
| 222 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 223 | } |
| 224 | |
| 225 | BOOST_AUTO_TEST_CASE(ConcatAxis2_NoInterleave) |
| 226 | { |
| 227 | int32_t axis = 2; |
| 228 | TestTensor aIn{armnn::TensorShape{1,1,2,2},{0, 1, |
| 229 | 2, 3}}; |
| 230 | TestTensor bIn{armnn::TensorShape{1,1,3,2},{4, 5, |
| 231 | 6, 7, |
| 232 | 8, 9}}; |
| 233 | TestTensor cIn{armnn::TensorShape{1,1,1,2},{10, 11}}; |
| 234 | |
| 235 | TestTensor expected{armnn::TensorShape{1,1,6,2},{0, 1, |
| 236 | 2, 3, |
| 237 | 4, 5, |
| 238 | 6, 7, |
| 239 | 8, 9, |
| 240 | 10, 11}}; |
| 241 | |
| 242 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 243 | } |
| 244 | |
| 245 | BOOST_AUTO_TEST_CASE(SimpleConcatAxis2_DoInterleave) |
| 246 | { |
| 247 | int32_t axis = 2; |
| 248 | TestTensor aIn{armnn::TensorShape{1,2,2,1},{0, 1, |
| 249 | 2, 3}}; |
| 250 | TestTensor bIn{armnn::TensorShape{1,2,3,1},{4, 5, 6, |
| 251 | 7, 8, 9}}; |
| 252 | TestTensor cIn{armnn::TensorShape{1,2,1,1},{10, |
| 253 | 11}}; |
| 254 | |
| 255 | TestTensor expected{armnn::TensorShape{1,2,6,1},{0, 1, 4, 5, 6, 10, |
| 256 | 2, 3, 7, 8, 9, 11}}; |
| 257 | |
| 258 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 259 | } |
| 260 | |
| 261 | BOOST_AUTO_TEST_CASE(SimpleConcatAxis3) |
| 262 | { |
| 263 | int32_t axis = 3; |
| 264 | TestTensor aIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 265 | TestTensor bIn{armnn::TensorShape{1,1,1,1},{1}}; |
| 266 | TestTensor cIn{armnn::TensorShape{1,1,1,1},{2}}; |
| 267 | |
| 268 | TestTensor expected{armnn::TensorShape{1,1,1,3},{0,1,2}}; |
| 269 | |
| 270 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 271 | } |
| 272 | |
| 273 | BOOST_AUTO_TEST_CASE(SimpleConcatAxis3_DoInterleave) |
| 274 | { |
| 275 | int32_t axis = 3; |
| 276 | TestTensor aIn{armnn::TensorShape{1,1,2,2},{0, 1, |
| 277 | 2, 3}}; |
| 278 | TestTensor bIn{armnn::TensorShape{1,1,2,3},{4, 5, 6, |
| 279 | 7, 8, 9}}; |
| 280 | TestTensor cIn{armnn::TensorShape{1,1,2,1},{10, |
| 281 | 11}}; |
| 282 | |
| 283 | TestTensor expected{armnn::TensorShape{1,1,2,6},{0, 1, 4, 5, 6, 10, |
| 284 | 2, 3, 7, 8, 9, 11}}; |
| 285 | |
| 286 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 287 | } |
| 288 | |
| 289 | BOOST_AUTO_TEST_CASE(AxisTooBig) |
| 290 | { |
| 291 | int32_t axis = 4; |
| 292 | TestTensor aIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 293 | TestTensor bIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 294 | |
| 295 | // The axis must be within the range of [-rank(values), rank(values)) |
| 296 | // see: https://www.tensorflow.org/api_docs/python/tf/concat |
| 297 | TestTensor uncheckedOutput{armnn::TensorShape{1,1,1,1},{0}}; |
| 298 | ErrorStatus expectedParserStatus = ErrorStatus::GENERAL_FAILURE; |
| 299 | MergerTestImpl({&aIn, &bIn}, axis, uncheckedOutput, expectedParserStatus); |
| 300 | } |
| 301 | |
| 302 | BOOST_AUTO_TEST_CASE(AxisTooSmall) |
| 303 | { |
| 304 | int32_t axis = -5; |
| 305 | TestTensor aIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 306 | TestTensor bIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 307 | |
| 308 | // The axis must be within the range of [-rank(values), rank(values)) |
| 309 | // see: https://www.tensorflow.org/api_docs/python/tf/concat |
| 310 | TestTensor uncheckedOutput{armnn::TensorShape{1,1,1,1},{0}}; |
| 311 | ErrorStatus expectedParserStatus = ErrorStatus::GENERAL_FAILURE; |
| 312 | MergerTestImpl({&aIn, &bIn}, axis, uncheckedOutput, expectedParserStatus); |
| 313 | } |
| 314 | |
| 315 | BOOST_AUTO_TEST_CASE(TooFewInputs) |
| 316 | { |
| 317 | int32_t axis = 0; |
| 318 | TestTensor aIn{armnn::TensorShape{1,1,1,1},{0}}; |
| 319 | |
| 320 | // We need at least two tensors to concatenate |
| 321 | ErrorStatus expectedParserStatus = ErrorStatus::GENERAL_FAILURE; |
| 322 | MergerTestImpl({&aIn}, axis, aIn, expectedParserStatus); |
| 323 | } |
| 324 | |
| 325 | BOOST_AUTO_TEST_CASE(MismatchedInputDimensions) |
| 326 | { |
| 327 | int32_t axis = 3; |
| 328 | TestTensor aIn{armnn::TensorShape{1,1,2,2},{0, 1, |
| 329 | 2, 3}}; |
| 330 | TestTensor bIn{armnn::TensorShape{1,1,2,3},{4, 5, 6, |
| 331 | 7, 8, 9}}; |
| 332 | TestTensor mismatched{armnn::TensorShape{1,1,1,1},{10}}; |
| 333 | |
| 334 | TestTensor expected{armnn::TensorShape{1,1,2,6},{0, 1, 4, 5, 6, 10, |
| 335 | 2, 3, 7, 8, 9, 11}}; |
| 336 | |
| 337 | // The input dimensions must be compatible |
| 338 | ErrorStatus expectedParserStatus = ErrorStatus::GENERAL_FAILURE; |
| 339 | MergerTestImpl({&aIn, &bIn, &mismatched}, axis, expected, expectedParserStatus); |
| 340 | } |
| 341 | |
| 342 | BOOST_AUTO_TEST_CASE(MismatchedInputRanks) |
| 343 | { |
| 344 | int32_t axis = 2; |
| 345 | TestTensor aIn{armnn::TensorShape{1,1,2},{0,1}}; |
| 346 | TestTensor bIn{armnn::TensorShape{1,1},{4}}; |
| 347 | TestTensor expected{armnn::TensorShape{1,1,3},{0,1,4}}; |
| 348 | |
| 349 | // The input dimensions must be compatible |
| 350 | ErrorStatus expectedParserStatus = ErrorStatus::GENERAL_FAILURE; |
| 351 | MergerTestImpl({&aIn, &bIn}, axis, expected, expectedParserStatus); |
| 352 | } |
| 353 | |
| 354 | BOOST_AUTO_TEST_CASE(MismatchedOutputDimensions) |
| 355 | { |
| 356 | int32_t axis = 3; |
| 357 | TestTensor aIn{armnn::TensorShape{1,1,2,2},{0, 1, |
| 358 | 2, 3}}; |
| 359 | TestTensor bIn{armnn::TensorShape{1,1,2,3},{4, 5, 6, |
| 360 | 7, 8, 9}}; |
| 361 | TestTensor cIn{armnn::TensorShape{1,1,2,1},{10, |
| 362 | 11}}; |
| 363 | |
| 364 | TestTensor mismatched{armnn::TensorShape{1,1,6,2},{0, 1, 4, 5, 6, 10, |
| 365 | 2, 3, 7, 8, 9, 11}}; |
| 366 | |
| 367 | // The input and output dimensions must be compatible |
| 368 | ErrorStatus expectedParserStatus = ErrorStatus::GENERAL_FAILURE; |
| 369 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, mismatched, expectedParserStatus); |
| 370 | } |
| 371 | |
| 372 | BOOST_AUTO_TEST_CASE(MismatchedOutputRank) |
| 373 | { |
| 374 | int32_t axis = 3; |
| 375 | TestTensor aIn{armnn::TensorShape{1,1,2,2},{0, 1, |
| 376 | 2, 3}}; |
| 377 | TestTensor bIn{armnn::TensorShape{1,1,2,3},{4, 5, 6, |
| 378 | 7, 8, 9}}; |
| 379 | TestTensor cIn{armnn::TensorShape{1,1,2,1},{10, |
| 380 | 11}}; |
| 381 | |
| 382 | TestTensor mismatched{armnn::TensorShape{6,2},{0, 1, 4, 5, 6, 10, |
| 383 | 2, 3, 7, 8, 9, 11}}; |
| 384 | |
| 385 | // The input and output ranks must match |
| 386 | ErrorStatus expectedParserStatus = ErrorStatus::GENERAL_FAILURE; |
| 387 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, mismatched, expectedParserStatus); |
| 388 | } |
| 389 | |
| 390 | BOOST_AUTO_TEST_CASE(ValidNegativeAxis) |
| 391 | { |
| 392 | // this is the same as 3 |
| 393 | // see: https://www.tensorflow.org/api_docs/python/tf/concat |
| 394 | int32_t axis = -1; |
| 395 | TestTensor aIn{armnn::TensorShape{1,1,2,2},{0, 1, |
| 396 | 2, 3}}; |
| 397 | TestTensor bIn{armnn::TensorShape{1,1,2,3},{4, 5, 6, |
| 398 | 7, 8, 9}}; |
| 399 | TestTensor cIn{armnn::TensorShape{1,1,2,1},{10, |
| 400 | 11}}; |
| 401 | |
| 402 | TestTensor expected{armnn::TensorShape{1,1,2,6},{0, 1, 4, 5, 6, 10, |
| 403 | 2, 3, 7, 8, 9, 11}}; |
| 404 | |
| 405 | MergerTestImpl({&aIn, &bIn, &cIn}, axis, expected); |
| 406 | } |
| 407 | |
| 408 | BOOST_AUTO_TEST_SUITE_END() |