telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include "ParserFlatbuffersFixture.hpp" |
| 8 | #include "../TfLiteParser.hpp" |
| 9 | #include <sstream> |
| 10 | |
| 11 | BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) |
| 12 | |
| 13 | struct SimpleConv2DFixture : public ParserFlatbuffersFixture |
| 14 | { |
| 15 | explicit SimpleConv2DFixture() |
| 16 | { |
| 17 | m_JsonString = R"( |
| 18 | { |
| 19 | "version": 3, |
| 20 | "operator_codes": [ { "builtin_code": "CONV_2D" } ], |
| 21 | "subgraphs": [ { |
| 22 | "tensors": [ |
| 23 | { |
| 24 | "shape": [ 1, 3, 3, 1 ], |
| 25 | "type": "UINT8", |
| 26 | "buffer": 0, |
| 27 | "name": "inputTensor", |
| 28 | "quantization": { |
| 29 | "min": [ 0.0 ], |
| 30 | "max": [ 255.0 ], |
| 31 | "scale": [ 1.0 ], |
| 32 | "zero_point": [ 0 ], |
| 33 | } |
| 34 | }, |
| 35 | { |
| 36 | "shape": [ 1, 1, 1, 1 ], |
| 37 | "type": "UINT8", |
| 38 | "buffer": 1, |
| 39 | "name": "outputTensor", |
| 40 | "quantization": { |
| 41 | "min": [ 0.0 ], |
| 42 | "max": [ 511.0 ], |
| 43 | "scale": [ 2.0 ], |
| 44 | "zero_point": [ 0 ], |
| 45 | } |
| 46 | }, |
| 47 | { |
| 48 | "shape": [ 1, 3, 3, 1 ], |
| 49 | "type": "UINT8", |
| 50 | "buffer": 2, |
| 51 | "name": "filterTensor", |
| 52 | "quantization": { |
| 53 | "min": [ 0.0 ], |
| 54 | "max": [ 255.0 ], |
| 55 | "scale": [ 1.0 ], |
| 56 | "zero_point": [ 0 ], |
| 57 | } |
| 58 | } |
| 59 | ], |
| 60 | "inputs": [ 0 ], |
| 61 | "outputs": [ 1 ], |
| 62 | "operators": [ |
| 63 | { |
| 64 | "opcode_index": 0, |
| 65 | "inputs": [ 0, 2 ], |
| 66 | "outputs": [ 1 ], |
| 67 | "builtin_options_type": "Conv2DOptions", |
| 68 | "builtin_options": { |
| 69 | "padding": "VALID", |
| 70 | "stride_w": 1, |
| 71 | "stride_h": 1, |
| 72 | "fused_activation_function": "NONE" |
| 73 | }, |
| 74 | "custom_options_format": "FLEXBUFFERS" |
| 75 | } |
| 76 | ], |
| 77 | } ], |
| 78 | "buffers" : [ |
| 79 | { }, |
| 80 | { }, |
| 81 | { "data": [ 2,1,0, 6,2,1, 4,1,2 ], }, |
| 82 | { }, |
| 83 | ] |
| 84 | } |
| 85 | )"; |
| 86 | SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| 87 | } |
| 88 | }; |
| 89 | |
| 90 | BOOST_FIXTURE_TEST_CASE( ParseSimpleConv2D, SimpleConv2DFixture ) |
| 91 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 92 | RunTest<4, armnn::DataType::QAsymmU8>( |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 93 | 0, |
| 94 | { |
| 95 | 1, 2, 3, |
| 96 | 4, 5, 6, |
| 97 | 7, 8, 9, |
| 98 | }, |
| 99 | // because of the output scaling we need to take half of the values |
| 100 | { |
| 101 | (1*2 + 2*1 + 3*0 + |
| 102 | 4*6 + 5*2 + 6*1 + |
| 103 | 7*4 + 8*1 + 9*2) /2 |
| 104 | }); |
| 105 | } |
| 106 | |
| 107 | struct Conv2DWithBiasesFixture : public ParserFlatbuffersFixture |
| 108 | { |
| 109 | explicit Conv2DWithBiasesFixture(const std::string & inputShape, |
| 110 | const std::string & outputShape, |
| 111 | const std::string & filterShape, |
| 112 | const std::string & filterData, |
| 113 | const std::string & biasShape, |
| 114 | const std::string & biasData, |
| 115 | const std::string & strides, |
| 116 | const std::string & activation="NONE", |
| 117 | const std::string & filterScale="1.0", |
| 118 | const std::string & filterZeroPoint="0", |
| 119 | const std::string & outputScale="2.0", |
| 120 | const std::string & outputZeroPoint="0") |
| 121 | { |
| 122 | m_JsonString = R"( |
| 123 | { |
| 124 | "version": 3, |
| 125 | "operator_codes": [ { "builtin_code": "CONV_2D" } ], |
| 126 | "subgraphs": [ { |
| 127 | "tensors": [ |
| 128 | { |
| 129 | "shape": )" + inputShape + R"(, |
| 130 | "type": "UINT8", |
| 131 | "buffer": 0, |
| 132 | "name": "inputTensor", |
| 133 | "quantization": { |
| 134 | "min": [ 0.0 ], |
| 135 | "max": [ 255.0 ], |
| 136 | "scale": [ 1.0 ], |
| 137 | "zero_point": [ 0 ], |
| 138 | } |
| 139 | }, |
| 140 | { |
| 141 | "shape": )" + outputShape + R"(, |
| 142 | "type": "UINT8", |
| 143 | "buffer": 1, |
| 144 | "name": "outputTensor", |
| 145 | "quantization": { |
| 146 | "min": [ 0.0 ], |
| 147 | "max": [ 511.0 ], |
| 148 | "scale": [ )" + outputScale + R"( ], |
| 149 | "zero_point": [ )" + outputZeroPoint + R"( ], |
| 150 | } |
| 151 | }, |
| 152 | { |
| 153 | "shape": )" + filterShape + R"( , |
| 154 | "type": "UINT8", |
| 155 | "buffer": 2, |
| 156 | "name": "filterTensor", |
| 157 | "quantization": { |
| 158 | "min": [ 0.0 ], |
| 159 | "max": [ 255.0 ], |
| 160 | "scale": [ )" + filterScale + R"( ], |
| 161 | "zero_point": [ )" + filterZeroPoint + R"( ], |
| 162 | } |
| 163 | }, |
| 164 | { |
| 165 | "shape": )" + biasShape + R"( , |
| 166 | "type": "INT32", |
| 167 | "buffer": 3, |
| 168 | "name": "biasTensor", |
| 169 | "quantization": { |
| 170 | "min": [ 0.0 ], |
| 171 | "max": [ 255.0 ], |
| 172 | "scale": [ 1.0 ], |
| 173 | "zero_point": [ 0 ], |
| 174 | } |
| 175 | } |
| 176 | ], |
| 177 | "inputs": [ 0 ], |
| 178 | "outputs": [ 1 ], |
| 179 | "operators": [ |
| 180 | { |
| 181 | "opcode_index": 0, |
| 182 | "inputs": [ 0, 2, 3 ], |
| 183 | "outputs": [ 1 ], |
| 184 | "builtin_options_type": "Conv2DOptions", |
| 185 | "builtin_options": { |
| 186 | "padding": "SAME", |
| 187 | "stride_w": )" + strides + R"(, |
| 188 | "stride_h": )" + strides + R"(, |
| 189 | "fused_activation_function": )" + activation + R"( |
| 190 | }, |
| 191 | "custom_options_format": "FLEXBUFFERS" |
| 192 | } |
| 193 | ], |
| 194 | } ], |
| 195 | "buffers" : [ |
| 196 | { }, |
| 197 | { }, |
| 198 | { "data": )" + filterData + R"(, }, |
| 199 | { "data": )" + biasData + R"(, }, |
| 200 | ] |
| 201 | } |
| 202 | )"; |
| 203 | SetupSingleInputSingleOutput("inputTensor", "outputTensor"); |
| 204 | } |
| 205 | }; |
| 206 | |
| 207 | struct SimpleConv2DWithBiasesFixture : Conv2DWithBiasesFixture |
| 208 | { |
| 209 | SimpleConv2DWithBiasesFixture() |
| 210 | : Conv2DWithBiasesFixture("[ 1, 2, 2, 1 ]", // inputShape |
| 211 | "[ 1, 2, 2, 1 ]", // outputShape |
| 212 | "[ 1, 2, 2, 1 ]", // filterShape |
| 213 | "[ 2,1, 0,6 ]", // filterData |
| 214 | "[ 1 ]", // biasShape |
| 215 | "[ 10, 0, 0, 0 ]", // biasData |
| 216 | "1") // stride w and h |
| 217 | {} |
| 218 | }; |
| 219 | |
| 220 | BOOST_FIXTURE_TEST_CASE( ParseConv2DWithBias, SimpleConv2DWithBiasesFixture ) |
| 221 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 222 | RunTest<4, armnn::DataType::QAsymmU8>( |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 223 | 0, |
| 224 | { |
| 225 | 1, 2, |
| 226 | 3, 4, |
| 227 | }, |
| 228 | // because of the output scaling we need to take half of the values |
| 229 | { |
| 230 | (1*2 + 2*1 + 3*0 + 4*6 + 10)/2, |
| 231 | (2*2 + 0*1 + 4*0 + 0*6 + 10)/2, |
| 232 | (3*2 + 4*1 + 0*0 + 0*6 + 10)/2, |
| 233 | (4*2 + 0*1 + 0*0 + 0*6 + 10)/2 |
| 234 | }); |
| 235 | } |
| 236 | |
Sadik Armagan | d109a4d | 2020-07-28 10:42:13 +0100 | [diff] [blame] | 237 | struct DynamicConv2DWithBiasesFixture : Conv2DWithBiasesFixture |
| 238 | { |
| 239 | DynamicConv2DWithBiasesFixture() |
| 240 | : Conv2DWithBiasesFixture("[ 1, 2, 2, 1 ]", // inputShape |
| 241 | "[ ]", // outputShape |
| 242 | "[ 1, 2, 2, 1 ]", // filterShape |
| 243 | "[ 2,1, 0,6 ]", // filterData |
| 244 | "[ 1 ]", // biasShape |
| 245 | "[ 10, 0, 0, 0 ]", // biasData |
| 246 | "1") // stride w and h |
| 247 | {} |
| 248 | }; |
| 249 | |
| 250 | BOOST_FIXTURE_TEST_CASE( ParseDynamicConv2DWithBias, DynamicConv2DWithBiasesFixture ) |
| 251 | { |
| 252 | RunTest<4, |
| 253 | armnn::DataType::QAsymmU8, |
| 254 | armnn::DataType::QAsymmU8>(0, |
| 255 | { { "inputTensor", { 1, 2, 3, 4, } } }, |
| 256 | { { "outputTensor", { (1*2 + 2*1 + 3*0 + 4*6 + 10)/2, |
| 257 | (2*2 + 0*1 + 4*0 + 0*6 + 10)/2, |
| 258 | (3*2 + 4*1 + 0*0 + 0*6 + 10)/2, |
| 259 | (4*2 + 0*1 + 0*0 + 0*6 + 10)/2} } }, |
| 260 | true); |
| 261 | } |
| 262 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 263 | struct Conv2DShapeTestFixture : Conv2DWithBiasesFixture |
| 264 | { |
| 265 | static std::string GenerateInts(unsigned int n) |
| 266 | { |
| 267 | std::stringstream ss; |
| 268 | ss << " [ "; |
| 269 | for( unsigned int i=0; i<n; ++i ) { |
| 270 | if (i > 0 ) |
| 271 | { |
| 272 | ss << " , "; |
| 273 | } |
| 274 | ss << " " << (i%256); |
| 275 | } |
| 276 | ss << " ] "; |
| 277 | return ss.str(); |
| 278 | } |
| 279 | |
| 280 | Conv2DShapeTestFixture() |
| 281 | : Conv2DWithBiasesFixture("[ 1, 224, 224, 3 ]", // inputShape |
| 282 | "[ 1, 112, 112, 32 ]", // outputShape |
| 283 | "[ 32, 3, 3, 3 ]", // filterShape |
| 284 | GenerateInts(32*3*3*3), // filterData |
| 285 | "[ 32 ]", // biasShape |
| 286 | GenerateInts(32*4), // biasData |
| 287 | "2") // stride w and h |
| 288 | {} |
| 289 | }; |
| 290 | |
| 291 | BOOST_FIXTURE_TEST_CASE( ParseConv2D_112x112_out, Conv2DShapeTestFixture ) |
| 292 | { |
| 293 | } |
| 294 | |
| 295 | struct ReluConv2DWithBiasesFixture : Conv2DWithBiasesFixture |
| 296 | { |
| 297 | ReluConv2DWithBiasesFixture() |
| 298 | : Conv2DWithBiasesFixture("[ 1, 2, 2, 1 ]", // inputShape |
| 299 | "[ 1, 2, 2, 1 ]", // outputShape |
| 300 | "[ 1, 2, 2, 1 ]", // filterShape |
| 301 | "[ 2,1, 0,6 ]", // filterData |
| 302 | "[ 1 ]", // biasShape |
| 303 | "[ 16, 0, 0, 0 ]", // biasData |
| 304 | "1", // stride w and h |
| 305 | "RELU", // activation |
| 306 | "1.0", // filter scale |
| 307 | "4", // filter zero point |
| 308 | "2.0", // output scale |
| 309 | "20") // output zero point |
| 310 | {} |
| 311 | }; |
| 312 | |
| 313 | BOOST_FIXTURE_TEST_CASE( ParseConv2DAndReluWithBias, ReluConv2DWithBiasesFixture ) |
| 314 | { |
| 315 | uint8_t bias = 16; |
| 316 | uint8_t outZero = 20; |
| 317 | uint8_t fz = 4; // filter zero point |
| 318 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 319 | RunTest<4, armnn::DataType::QAsymmU8>( |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 320 | 0, |
| 321 | { |
| 322 | 1, 2, |
| 323 | 4, 8, |
| 324 | }, |
| 325 | // factors to consider: |
| 326 | // - the filter zero point is non zero, hence the (x-fz) |
| 327 | // - the output scale is 2 hence the /2 |
| 328 | // - output zero point is non zero, hence the +outZero |
| 329 | // - RELU cuts negative values and then we add the output zero point |
| 330 | { |
| 331 | std::max(outZero, static_cast<uint8_t>((1*(2-fz) + 2*(1-fz) + 4*(0-fz) + 8*(6-fz) + bias)/2 + outZero)), |
| 332 | std::max(outZero, static_cast<uint8_t>((2*(2-fz) + 0*(1-fz) + 8*(0-fz) + 0*(6-fz) + bias)/2 + outZero)), |
| 333 | std::max(outZero, static_cast<uint8_t>((4*(2-fz) + 8*(1-fz) + 0*(0-fz) + 0*(6-fz) + bias)/2 + outZero)), |
| 334 | std::max(outZero, static_cast<uint8_t>((8*(2-fz) + 0*(1-fz) + 0*(0-fz) + 0*(6-fz) + bias)/2 + outZero)) |
| 335 | }); |
| 336 | } |
| 337 | |
| 338 | struct Relu6Conv2DWithBiasesFixture : Conv2DWithBiasesFixture |
| 339 | { |
| 340 | Relu6Conv2DWithBiasesFixture() |
| 341 | : Conv2DWithBiasesFixture("[ 1, 2, 2, 1 ]", // inputShape |
| 342 | "[ 1, 2, 2, 1 ]", // outputShape |
| 343 | "[ 1, 2, 2, 1 ]", // filterShape |
| 344 | "[ 2,1, 0,6 ]", // filterData |
| 345 | "[ 1 ]", // biasShape |
| 346 | "[ 0, 0, 0, 0 ]", // biasData |
| 347 | "1", // stride w and h |
| 348 | "RELU6", // activation |
| 349 | "1.0", // filter scale |
| 350 | "0", // filter zero point |
| 351 | "2.0", // output scale |
| 352 | "0") // output zero point |
| 353 | {} |
| 354 | }; |
| 355 | |
| 356 | BOOST_FIXTURE_TEST_CASE( ParseConv2DAndRelu6WithBias, Relu6Conv2DWithBiasesFixture ) |
| 357 | { |
| 358 | uint8_t relu6Min = 6 / 2; // divide by output scale |
| 359 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 360 | RunTest<4, armnn::DataType::QAsymmU8>( |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 361 | 0, |
| 362 | { |
| 363 | 1, 2, |
| 364 | 4, 1, |
| 365 | }, |
| 366 | // factors to consider: |
| 367 | // - the output scale is 2 hence the /2 |
| 368 | // - RELU6 cuts output values at +6 |
| 369 | { |
| 370 | std::min(relu6Min, static_cast<uint8_t>((1*2 + 2*1 + 4*0 + 1*6)/2)), |
| 371 | std::min(relu6Min, static_cast<uint8_t>((2*2 + 0*1 + 1*0 + 0*6)/2)), |
| 372 | std::min(relu6Min, static_cast<uint8_t>((4*2 + 1*1 + 0*0 + 0*6)/2)), |
| 373 | std::min(relu6Min, static_cast<uint8_t>((1*2 + 0*1 + 0*0 + 0*6)/2)) |
| 374 | }); |
| 375 | } |
| 376 | |
Jan Eilers | ea835e7 | 2021-04-21 16:58:28 +0100 | [diff] [blame] | 377 | |
| 378 | struct PerChannelConv2DFixture : public ParserFlatbuffersFixture |
| 379 | { |
| 380 | explicit PerChannelConv2DFixture() |
| 381 | { |
| 382 | m_JsonString = R"( |
| 383 | { |
| 384 | "version": 3, |
| 385 | "operator_codes": [ |
| 386 | { |
| 387 | "builtin_code": "CONV_2D", |
| 388 | "version": 3 |
| 389 | } |
| 390 | ], |
| 391 | "subgraphs": [ |
| 392 | { |
| 393 | "tensors": [ |
| 394 | { |
| 395 | "shape": [ |
| 396 | 1, |
| 397 | 4, |
| 398 | 4, |
| 399 | 2 |
| 400 | ], |
| 401 | "type": "INT8", |
| 402 | "buffer": 1, |
| 403 | "name": "input", |
| 404 | "quantization": { |
| 405 | "min": [ |
| 406 | -50.0 |
| 407 | ], |
| 408 | "max": [ |
| 409 | 49.0 |
| 410 | ], |
| 411 | "scale": [ |
| 412 | 0.388235 |
| 413 | ], |
| 414 | "zero_point": [ |
| 415 | 1 |
| 416 | ], |
| 417 | "details_type": "NONE", |
| 418 | "quantized_dimension": 0 |
| 419 | }, |
| 420 | "is_variable": false |
| 421 | }, |
| 422 | { |
| 423 | "shape": [ |
| 424 | 4 |
| 425 | ], |
| 426 | "type": "INT32", |
| 427 | "buffer": 2, |
| 428 | "name": "model/conv2d/Conv2D", |
| 429 | "quantization": { |
| 430 | "scale": [ |
| 431 | 0.001523, |
| 432 | 0.001197, |
| 433 | 0.001517, |
| 434 | 0.001364 |
| 435 | ], |
| 436 | "zero_point": [ |
| 437 | 0, |
| 438 | 0, |
| 439 | 0, |
| 440 | 0 |
| 441 | ], |
| 442 | "details_type": "NONE", |
| 443 | "quantized_dimension": 0 |
| 444 | }, |
| 445 | "is_variable": false |
| 446 | }, |
| 447 | { |
| 448 | "shape": [ |
| 449 | 4, |
| 450 | 2, |
| 451 | 2, |
| 452 | 2 |
| 453 | ], |
| 454 | "type": "INT8", |
| 455 | "buffer": 3, |
| 456 | "name": "model/conv2d/Conv2D1", |
| 457 | "quantization": { |
| 458 | "min": [ |
| 459 | -0.498056, |
| 460 | -0.362561, |
| 461 | -0.307959, |
| 462 | -0.207799 |
| 463 | ], |
| 464 | "max": [ |
| 465 | 0.339136, |
| 466 | 0.391629, |
| 467 | 0.496193, |
| 468 | 0.446191 |
| 469 | ], |
| 470 | "scale": [ |
| 471 | 0.003922, |
| 472 | 0.003084, |
| 473 | 0.003907, |
| 474 | 0.003513 |
| 475 | ], |
| 476 | "zero_point": [ |
| 477 | 0, |
| 478 | 0, |
| 479 | 0, |
| 480 | 0 |
| 481 | ], |
| 482 | "details_type": "NONE", |
| 483 | "quantized_dimension": 0 |
| 484 | }, |
| 485 | "is_variable": false |
| 486 | }, |
| 487 | { |
| 488 | "shape": [ |
| 489 | 1, |
| 490 | 4, |
| 491 | 4, |
| 492 | 4 |
| 493 | ], |
| 494 | "type": "INT8", |
| 495 | "buffer": 4, |
| 496 | "name": "Identity", |
| 497 | "quantization": { |
| 498 | "min": [ |
| 499 | -66.578751 |
| 500 | ], |
| 501 | "max": [ |
| 502 | 70.137619 |
| 503 | ], |
| 504 | "scale": [ |
| 505 | 0.536143 |
| 506 | ], |
| 507 | "zero_point": [ |
| 508 | -4 |
| 509 | ], |
| 510 | "details_type": "NONE", |
| 511 | "quantized_dimension": 0 |
| 512 | }, |
| 513 | "is_variable": false |
| 514 | } |
| 515 | ], |
| 516 | "inputs": [ |
| 517 | 0 |
| 518 | ], |
| 519 | "outputs": [ |
| 520 | 3 |
| 521 | ], |
| 522 | "operators": [ |
| 523 | { |
| 524 | "opcode_index": 0, |
| 525 | "inputs": [ |
| 526 | 0, |
| 527 | 2, |
| 528 | 1 |
| 529 | ], |
| 530 | "outputs": [ |
| 531 | 3 |
| 532 | ], |
| 533 | "builtin_options_type": "Conv2DOptions", |
| 534 | "builtin_options": { |
| 535 | "padding": "SAME", |
| 536 | "stride_w": 1, |
| 537 | "stride_h": 1, |
| 538 | "fused_activation_function": "NONE", |
| 539 | "dilation_w_factor": 1, |
| 540 | "dilation_h_factor": 1 |
| 541 | }, |
| 542 | "custom_options_format": "FLEXBUFFERS" |
| 543 | } |
| 544 | ], |
| 545 | "name": "main" |
| 546 | } |
| 547 | ], |
| 548 | "description": "MLIR Converted.", |
| 549 | "buffers": [ |
| 550 | { |
| 551 | }, |
| 552 | { |
| 553 | }, |
| 554 | { |
| 555 | "data": [ |
| 556 | 0, |
| 557 | 0, |
| 558 | 0, |
| 559 | 0, |
| 560 | 0, |
| 561 | 0, |
| 562 | 0, |
| 563 | 0, |
| 564 | 0, |
| 565 | 0, |
| 566 | 0, |
| 567 | 0, |
| 568 | 0, |
| 569 | 0, |
| 570 | 0, |
| 571 | 0 |
| 572 | ] |
| 573 | }, |
| 574 | { |
| 575 | "data": [ |
| 576 | 157, |
| 577 | 201, |
| 578 | 86, |
| 579 | 129, |
| 580 | 17, |
| 581 | 33, |
| 582 | 209, |
| 583 | 13, |
| 584 | 76, |
| 585 | 249, |
| 586 | 127, |
| 587 | 138, |
| 588 | 35, |
| 589 | 18, |
| 590 | 250, |
| 591 | 233, |
| 592 | 15, |
| 593 | 205, |
| 594 | 98, |
| 595 | 127, |
| 596 | 68, |
| 597 | 196, |
| 598 | 246, |
| 599 | 177, |
| 600 | 65, |
| 601 | 197, |
| 602 | 230, |
| 603 | 246, |
| 604 | 127, |
| 605 | 66, |
| 606 | 212, |
| 607 | 30 |
| 608 | ] |
| 609 | }, |
| 610 | { |
| 611 | }, |
| 612 | { |
| 613 | "data": [ |
| 614 | 49, |
| 615 | 46, |
| 616 | 53, |
| 617 | 46, |
| 618 | 48, |
| 619 | 0, |
| 620 | 0, |
| 621 | 0, |
| 622 | 0, |
| 623 | 0, |
| 624 | 0, |
| 625 | 0, |
| 626 | 0, |
| 627 | 0, |
| 628 | 0, |
| 629 | 0 |
| 630 | ] |
| 631 | } |
| 632 | ], |
| 633 | "metadata": [ |
| 634 | { |
| 635 | "name": "min_runtime_version", |
| 636 | "buffer": 5 |
| 637 | } |
| 638 | ] |
| 639 | } |
| 640 | )"; |
| 641 | SetupSingleInputSingleOutput("input", "Identity"); |
| 642 | } |
| 643 | }; |
| 644 | |
| 645 | BOOST_FIXTURE_TEST_CASE( ParsePerChannelConv2D, PerChannelConv2DFixture ) |
| 646 | { |
| 647 | RunTest<4, armnn::DataType::QAsymmS8>( |
| 648 | 0, |
| 649 | { |
| 650 | -11, 40,-26, 11,-28, 8, 0, -8, |
| 651 | -10, 34, 47, 0,-33,-14, 28, 35, |
| 652 | 6,-28,-26, 8, 13, 33,-31,-41, |
| 653 | 31,-20,-31,-16, 8,-18,-44, 0 |
| 654 | }, |
| 655 | { |
| 656 | -21,-17,-23,-14, -1,-14, 1, 9, |
| 657 | 1,-12,-22,-23, 2, -1, -3, 12, |
| 658 | 7, 6, 8,-13,-21, -6,-31, 0, |
| 659 | 9, -6, 24, 0,-22, -4, -7,-22, |
| 660 | -7, -9, 9, 11,-11,-16, 9,-27, |
| 661 | -1, 0,-26, 0, 9,-12, -8,-18, |
| 662 | -11, -3,-15, 7, 16, -2, -8, -7, |
| 663 | -14,-15,-14, 3, 9,-12, -6,-11 |
| 664 | }); |
| 665 | } |
| 666 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 667 | BOOST_AUTO_TEST_SUITE_END() |