Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 1 | |
| 2 | // Copyright (c) 2020, ARM Limited. |
| 3 | // |
| 4 | // Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | // you may not use this file except in compliance with the License. |
| 6 | // You may obtain a copy of the License at |
| 7 | // |
| 8 | // http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | // |
| 10 | // Unless required by applicable law or agreed to in writing, software |
| 11 | // distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | // See the License for the specific language governing permissions and |
| 14 | // limitations under the License. |
| 15 | |
| 16 | #include "tosa_serialization_handler.h" |
| 17 | |
| 18 | #include <iostream> |
| 19 | using namespace tosa; |
| 20 | |
| 21 | TosaSerializationTensor::TosaSerializationTensor(const flatbuffers::String* name, |
| 22 | const flatbuffers::Vector<uint32_t>& usage, |
| 23 | const flatbuffers::Vector<int32_t>& shape, |
| 24 | DType dtype, |
| 25 | const flatbuffers::Vector<uint32_t>& format, |
| 26 | const flatbuffers::String* npy_filename) |
| 27 | { |
| 28 | _dtype = dtype; |
| 29 | |
| 30 | _usage = new std::vector<Usage>(usage.size()); |
| 31 | for (uint32_t us : usage) |
| 32 | { |
| 33 | _usage->push_back((Usage)us); |
| 34 | } |
| 35 | assert(_usage); |
| 36 | |
| 37 | _format = new std::vector<Format>(format.size()); |
| 38 | for (uint32_t fm : format) |
| 39 | { |
| 40 | _format->push_back((Format)fm); |
| 41 | } |
| 42 | assert(_format); |
| 43 | |
| 44 | _shape = new std::vector<int32_t>(shape.begin(), shape.end()); |
| 45 | |
| 46 | _shape = new std::vector<int32_t>(shape.begin(), shape.end()); |
| 47 | assert(_shape); |
| 48 | |
| 49 | assert(name); |
| 50 | _name = new std::string(name->str()); |
| 51 | assert(_name); |
| 52 | |
| 53 | if (npy_filename) |
| 54 | { |
| 55 | _npy_filename = new std::string(npy_filename->str()); |
| 56 | assert(_npy_filename); |
| 57 | } |
| 58 | else |
| 59 | { |
| 60 | _npy_filename = nullptr; |
| 61 | } |
| 62 | } |
| 63 | |
| 64 | TosaSerializationTensor::TosaSerializationTensor(std::string name, |
| 65 | const std::vector<Usage>& usage, |
| 66 | const std::vector<int32_t>& shape, |
| 67 | DType dtype, |
| 68 | const std::vector<Format>& format, |
| 69 | const std::string* npy_filename) |
| 70 | { |
| 71 | |
| 72 | _dtype = dtype; |
| 73 | |
| 74 | _usage = new std::vector<Usage>(usage); |
| 75 | assert(_usage); |
| 76 | |
| 77 | _format = new std::vector<Format>(format); |
| 78 | assert(_format); |
| 79 | |
| 80 | _shape = new std::vector<int32_t>(shape); |
| 81 | assert(_shape); |
| 82 | |
| 83 | _name = new std::string(name); |
| 84 | assert(_name); |
| 85 | |
| 86 | if (npy_filename) |
| 87 | { |
| 88 | _npy_filename = new std::string(*npy_filename); |
| 89 | assert(_npy_filename); |
| 90 | } |
| 91 | else |
| 92 | { |
| 93 | _npy_filename = nullptr; |
| 94 | } |
| 95 | } |
| 96 | |
| 97 | TosaSerializationTensor::TosaSerializationTensor() |
| 98 | { |
| 99 | _dtype = DType_UNKNOWN; |
| 100 | |
| 101 | _usage = new std::vector<Usage>(); |
| 102 | _format = new std::vector<Format>(); |
| 103 | _shape = new std::vector<int32_t>(); |
| 104 | _name = new std::string("UNKNOWN"); |
| 105 | assert(_usage && _format && _shape && _name); |
| 106 | |
| 107 | _npy_filename = nullptr; |
| 108 | } |
| 109 | |
| 110 | TosaSerializationTensor::TosaSerializationTensor(const TosaSerializationTensor& rhs) |
| 111 | { |
| 112 | _dtype = rhs._dtype; |
| 113 | |
| 114 | assert(rhs._usage); |
| 115 | _usage = new std::vector<Usage>(*rhs._usage); |
| 116 | assert(_usage); |
| 117 | |
| 118 | assert(rhs._format); |
| 119 | _format = new std::vector<Format>(*rhs._format); |
| 120 | assert(_format); |
| 121 | |
| 122 | assert(rhs._shape); |
| 123 | _shape = new std::vector<int32_t>(*rhs._shape); |
| 124 | assert(_shape); |
| 125 | |
| 126 | assert(rhs._name); |
| 127 | _name = new std::string(*rhs._name); |
| 128 | assert(_name); |
| 129 | |
| 130 | if (rhs._npy_filename) |
| 131 | { |
| 132 | _npy_filename = new std::string(*rhs._npy_filename); |
| 133 | assert(_npy_filename); |
| 134 | } |
| 135 | else |
| 136 | { |
| 137 | _npy_filename = nullptr; |
| 138 | } |
| 139 | } |
| 140 | |
| 141 | TosaSerializationTensor& TosaSerializationTensor::operator=(const TosaSerializationTensor& rhs) |
| 142 | { |
| 143 | _dtype = rhs._dtype; |
| 144 | |
| 145 | delete _usage; |
| 146 | assert(rhs._usage); |
| 147 | _usage = new std::vector<Usage>(*rhs._usage); |
| 148 | assert(_usage); |
| 149 | |
| 150 | delete _format; |
| 151 | assert(rhs._format); |
| 152 | _format = new std::vector<Format>(*rhs._format); |
| 153 | assert(_format); |
| 154 | |
| 155 | delete _shape; |
| 156 | assert(rhs._shape); |
| 157 | _shape = new std::vector<int32_t>(*rhs._shape); |
| 158 | assert(_shape); |
| 159 | |
| 160 | delete _name; |
| 161 | assert(rhs._name); |
| 162 | _name = new std::string(*rhs._name); |
| 163 | assert(_name); |
| 164 | |
| 165 | if (_npy_filename) |
| 166 | delete _npy_filename; |
| 167 | |
| 168 | if (rhs._npy_filename) |
| 169 | { |
| 170 | _npy_filename = new std::string(*rhs._npy_filename); |
| 171 | } |
| 172 | else |
| 173 | { |
| 174 | _npy_filename = nullptr; |
| 175 | } |
| 176 | return *this; |
| 177 | } |
| 178 | |
| 179 | TosaSerializationTensor::TosaSerializationTensor(TosaSerializationTensor&& rhs) |
| 180 | { |
| 181 | _dtype = rhs._dtype; |
| 182 | std::swap(_format, rhs._format); |
| 183 | std::swap(_usage, rhs._usage); |
| 184 | std::swap(_shape, rhs._shape); |
| 185 | std::swap(_name, rhs._name); |
| 186 | std::swap(_npy_filename, rhs._npy_filename); |
| 187 | } |
| 188 | |
| 189 | TosaSerializationTensor& TosaSerializationTensor::operator=(TosaSerializationTensor&& rhs) |
| 190 | { |
| 191 | _dtype = rhs._dtype; |
| 192 | std::swap(_format, rhs._format); |
| 193 | std::swap(_usage, rhs._usage); |
| 194 | std::swap(_shape, rhs._shape); |
| 195 | std::swap(_name, rhs._name); |
| 196 | std::swap(_npy_filename, rhs._npy_filename); |
| 197 | return *this; |
| 198 | } |
| 199 | |
| 200 | TosaSerializationTensor::~TosaSerializationTensor() |
| 201 | { |
| 202 | delete _usage; |
| 203 | delete _format; |
| 204 | delete _shape; |
| 205 | delete _name; |
| 206 | if (_npy_filename) |
| 207 | delete _npy_filename; |
| 208 | } |
| 209 | |
| 210 | TosaSerializationOperator::TosaSerializationOperator(Op op, |
| 211 | Attribute attribute_type, |
| 212 | const TosaAttributeBase* attribute, |
| 213 | QuantInfo qinfo_type, |
| 214 | const TosaQuantInfoBase* qinfo, |
| 215 | std::vector<std::string> input_tensor_names, |
| 216 | std::vector<std::string> output_tensor_names) |
| 217 | { |
| 218 | _op = op; |
| 219 | _attribute_type = attribute_type; |
| 220 | |
| 221 | switch (attribute_type) |
| 222 | { |
| 223 | case Attribute_NONE: |
| 224 | _attribute = new TosaNoneAttribute(); |
| 225 | break; |
| 226 | #define DEF_ATTRIBUTE(NAME, ...) \ |
| 227 | case Attribute_##NAME##Attribute: \ |
| 228 | _attribute = new Tosa##NAME##Attribute(attribute); \ |
| 229 | break; |
| 230 | #include "attribute.def" |
| 231 | #undef DEF_ATTRIBUTE |
| 232 | default: |
| 233 | printf("TosaSerializationOperator::TosaSerializationOperator(): Attribute %s not implemented yet\n", |
| 234 | EnumNamesAttribute()[attribute_type]); |
| 235 | assert(0); |
| 236 | } |
| 237 | |
| 238 | _qinfo_type = qinfo_type; |
| 239 | switch (qinfo_type) |
| 240 | { |
| 241 | case QuantInfo_NONE: |
| 242 | _qinfo = new TosaNoneQuantInfo(); |
| 243 | break; |
| 244 | #define DEF_QUANTIZATION_INFO(NAME, ...) \ |
| 245 | case QuantInfo_##NAME##QuantInfo: \ |
| 246 | _qinfo = new Tosa##NAME##QuantInfo(qinfo); \ |
| 247 | break; |
| 248 | #include "quant_info.def" |
| 249 | #undef DEF_QUANTIZATION_INFO |
| 250 | default: |
| 251 | printf("TosaSerializationOperator::TosaSerializationOperator(): QuantInfo %s not implemented yet\n", |
| 252 | EnumNamesQuantInfo()[qinfo_type]); |
| 253 | assert(0); |
| 254 | } |
| 255 | |
| 256 | assert(_attribute && _qinfo); |
| 257 | |
| 258 | _input_tensor_names = new std::vector<std::string>(input_tensor_names); |
| 259 | _output_tensor_names = new std::vector<std::string>(output_tensor_names); |
| 260 | |
| 261 | assert(_input_tensor_names && _output_tensor_names); |
| 262 | |
| 263 | _input_tensors = new std::vector<TosaSerializationTensor*>(); |
| 264 | _output_tensors = new std::vector<TosaSerializationTensor*>(); |
| 265 | |
| 266 | assert(_input_tensors && _output_tensors); |
| 267 | } |
| 268 | |
| 269 | TosaSerializationOperator::~TosaSerializationOperator() |
| 270 | { |
| 271 | delete _attribute; |
| 272 | delete _qinfo; |
| 273 | delete _input_tensor_names; |
| 274 | delete _output_tensor_names; |
| 275 | // TosaSerializationTensor should be free'd in TosaSerializationSerializationHandler destructor |
| 276 | delete _input_tensors; |
| 277 | delete _output_tensors; |
| 278 | } |
| 279 | |
| 280 | TosaSerializationBasicBlock::TosaSerializationBasicBlock(std::string name, |
| 281 | std::vector<TosaSerializationOperator*> operators, |
| 282 | std::vector<TosaSerializationTensor*> tensors, |
| 283 | std::vector<std::string> inputs, |
| 284 | std::vector<std::string> outputs) |
| 285 | { |
| 286 | |
| 287 | _name = new std::string(name); |
| 288 | assert(_name); |
| 289 | |
| 290 | _operators = new std::vector<TosaSerializationOperator*>(operators); |
| 291 | assert(_operators); |
| 292 | |
| 293 | _tensors = new std::vector<TosaSerializationTensor*>(tensors); |
| 294 | assert(_tensors); |
| 295 | |
| 296 | _inputs = new std::vector<std::string>(inputs); |
| 297 | assert(_inputs); |
| 298 | |
| 299 | _outputs = new std::vector<std::string>(outputs); |
| 300 | assert(_outputs); |
| 301 | } |
| 302 | |
| 303 | TosaSerializationBasicBlock::~TosaSerializationBasicBlock() |
| 304 | { |
| 305 | delete _name; |
| 306 | |
| 307 | // deallocate all operators |
| 308 | for (auto op : GetOperators()) |
| 309 | { |
| 310 | delete op; // ~TosaSerializationOperator() |
| 311 | } |
| 312 | delete _operators; |
| 313 | |
| 314 | // deallocate all tensors |
| 315 | for (auto ts : GetTensors()) |
| 316 | { |
| 317 | delete ts; // ~TosaSerializationTensor() |
| 318 | } |
| 319 | _tensors->clear(); |
| 320 | |
| 321 | delete _inputs; |
| 322 | delete _outputs; |
| 323 | } |
| 324 | |
| 325 | TosaSerializationHandler::TosaSerializationHandler() |
| 326 | { |
| 327 | _schemaLoaded = false; |
| 328 | _builder = new flatbuffers::FlatBufferBuilder(); |
| 329 | _parser = new flatbuffers::Parser(); |
| 330 | _blocks = new std::vector<TosaSerializationBasicBlock*>(); |
| 331 | |
| 332 | assert(_builder && _parser && _blocks); |
| 333 | |
| 334 | SetTosaVersion(); |
| 335 | } |
| 336 | |
| 337 | TosaSerializationHandler::~TosaSerializationHandler() |
| 338 | { |
| 339 | if (_version) |
| 340 | delete _version; |
| 341 | delete _builder; |
| 342 | delete _parser; |
| 343 | |
| 344 | Clear(); // deallocate all basic blocks |
| 345 | |
| 346 | delete _blocks; |
| 347 | } |
| 348 | |
| 349 | tosa_err_t TosaSerializationHandler::SetTosaVersion() |
| 350 | { |
| 351 | // version is specified within .fbs |
| 352 | // and it's encoded as defaulted value of CreateTosaVersion() |
| 353 | // need to write out one object to read that value out |
| 354 | // TODO: very costly now. is there any better way to encode constant in .fbs? |
| 355 | auto fboffset_version = CreateVersion(*_builder); |
| 356 | auto fboffset_tosa_graph = CreateTosaGraphDirect(*_builder, fboffset_version, nullptr); |
| 357 | _builder->Finish(fboffset_tosa_graph); |
| 358 | std::string jsongen; |
| 359 | uint8_t* buf = _builder->GetBufferPointer(); |
| 360 | auto fb_tosa_graph = GetTosaGraph(buf); |
| 361 | auto fb_tosa_version = fb_tosa_graph->version(); |
| 362 | |
| 363 | _version = new TosaVersion(fb_tosa_version->_major(), fb_tosa_version->_minor(), fb_tosa_version->_patch(), |
| 364 | fb_tosa_version->_experimental()); |
| 365 | |
| 366 | assert(_version); |
| 367 | return TOSA_OK; |
| 368 | } |
| 369 | |
| 370 | tosa_err_t TosaSerializationHandler::LoadFileSchema(const char* schema_filename) |
| 371 | { |
| 372 | std::string schema; |
| 373 | bool ok; |
| 374 | |
| 375 | ok = flatbuffers::LoadFile(schema_filename, false, &schema); |
| 376 | if (!ok) |
| 377 | { |
| 378 | printf("Error loading schema file: %s\n", schema_filename); |
| 379 | return TOSA_FILE_ERROR; |
| 380 | } |
| 381 | |
| 382 | ok = _parser->Parse(schema.c_str()); |
| 383 | if (!ok) |
| 384 | { |
| 385 | printf("Error parsing ISA schema file: %s\n", schema_filename); |
| 386 | return TOSA_FILE_ERROR; |
| 387 | } |
| 388 | _schemaLoaded = true; |
| 389 | |
| 390 | return TOSA_OK; |
| 391 | } |
| 392 | |
| 393 | tosa_err_t TosaSerializationHandler::LoadFileJson(const char* filename) |
| 394 | { |
| 395 | std::string jsonfile; |
| 396 | bool ok; |
| 397 | tosa_err_t err; |
| 398 | |
| 399 | if (!_schemaLoaded) |
| 400 | { |
| 401 | return TOSA_SCHEMA_MISSING; |
| 402 | } |
| 403 | |
| 404 | ok = flatbuffers::LoadFile(filename, false, &jsonfile); |
| 405 | if (!ok) |
| 406 | { |
| 407 | printf("Error loading json file: %s\n", filename); |
| 408 | return TOSA_FILE_ERROR; |
| 409 | } |
| 410 | |
| 411 | ok = _parser->Parse(jsonfile.c_str()); |
| 412 | if (!ok) |
| 413 | { |
| 414 | printf("Error parsing json file: %s\n", filename); |
| 415 | return TOSA_FILE_ERROR; |
| 416 | } |
| 417 | |
| 418 | uint8_t* buf = _parser->builder_.GetBufferPointer(); |
| 419 | |
| 420 | err = InitWithBuf(buf); |
| 421 | if (err != TOSA_OK) |
| 422 | { |
| 423 | return err; |
| 424 | } |
| 425 | |
| 426 | return TOSA_OK; |
| 427 | } |
| 428 | |
| 429 | tosa_err_t TosaSerializationHandler::SaveFileJson(const char* filename) |
| 430 | { |
| 431 | std::string jsongen; |
| 432 | tosa_err_t err; |
| 433 | |
| 434 | if (!_schemaLoaded) |
| 435 | { |
| 436 | return TOSA_SCHEMA_MISSING; |
| 437 | } |
| 438 | |
| 439 | err = FreezeBuilder(); |
| 440 | if (err != TOSA_OK) |
| 441 | { |
| 442 | return err; |
| 443 | } |
| 444 | |
| 445 | uint8_t* buf = _builder->GetBufferPointer(); |
| 446 | |
| 447 | if (!GenerateText(*_parser, buf, &jsongen)) |
| 448 | { |
| 449 | printf("Couldn't serialize parsed data to JSON!\n"); |
| 450 | return TOSA_FILE_ERROR; |
| 451 | } |
| 452 | |
| 453 | FILE* file = fopen(filename, "wb"); |
| 454 | |
| 455 | if (!file) |
| 456 | { |
| 457 | printf("Couldn't open output file: %s\n", filename); |
| 458 | return TOSA_FILE_ERROR; |
| 459 | } |
| 460 | |
| 461 | if (fwrite(jsongen.c_str(), sizeof(char), jsongen.size(), file) != jsongen.size()) |
| 462 | { |
| 463 | printf("Error writing to json output file: %s\n", filename); |
| 464 | fclose(file); |
| 465 | return TOSA_FILE_ERROR; |
| 466 | } |
| 467 | |
| 468 | if (file) |
| 469 | fclose(file); |
| 470 | |
| 471 | return TOSA_OK; |
| 472 | } |
| 473 | |
| 474 | tosa_err_t TosaSerializationHandler::LoadFileTosaFlatbuffer(const char* filename) |
| 475 | { |
| 476 | std::string read_buffer; |
| 477 | tosa_err_t err; |
| 478 | uint8_t* buf; |
| 479 | bool ok; |
| 480 | |
| 481 | ok = flatbuffers::LoadFile(filename, false, &read_buffer); |
| 482 | if (!ok) |
| 483 | { |
| 484 | printf("Error loading flatbuffer file: %s\n", filename); |
| 485 | return TOSA_FILE_ERROR; |
| 486 | } |
| 487 | |
| 488 | buf = (uint8_t*)read_buffer.data(); |
| 489 | |
| 490 | err = InitWithBuf(buf); |
| 491 | if (err != TOSA_OK) |
| 492 | { |
| 493 | return err; |
| 494 | } |
| 495 | |
| 496 | return TOSA_OK; |
| 497 | } |
| 498 | |
| 499 | tosa_err_t TosaSerializationHandler::SaveFileTosaFlatbuffer(const char* filename) |
| 500 | { |
| 501 | tosa_err_t err; |
| 502 | |
| 503 | err = FreezeBuilder(); |
| 504 | if (err != TOSA_OK) |
| 505 | { |
| 506 | return err; |
| 507 | } |
| 508 | |
| 509 | uint8_t* buf = _builder->GetBufferPointer(); |
| 510 | |
| 511 | bool ok = flatbuffers::SaveFile(filename, (const char*)buf, _builder->GetSize(), false); |
| 512 | if (!ok) |
| 513 | { |
| 514 | printf("Error saving floatbuffer file: %s\n", filename); |
| 515 | return TOSA_FILE_ERROR; |
| 516 | } |
| 517 | |
| 518 | return TOSA_OK; |
| 519 | } |
| 520 | |
| 521 | tosa_err_t TosaSerializationHandler::Clear() |
| 522 | { |
| 523 | // deallocate all basic blocks |
| 524 | for (auto bb : GetBlocks()) |
| 525 | { |
| 526 | delete bb; |
| 527 | } |
| 528 | _blocks->clear(); |
| 529 | |
| 530 | return TOSA_OK; |
| 531 | } |
| 532 | |
| 533 | tosa_err_t TosaSerializationHandler::CheckTosaVersion(const TosaVersion& read_version) |
| 534 | { |
| 535 | if ((*_version) != read_version) |
| 536 | { |
| 537 | printf("WARNING: read tosa version: %s != schema tosa version %s\n", read_version.to_string().c_str(), |
| 538 | this->_version->to_string().c_str()); |
| 539 | return TOSA_VERSION_MISMATCH; |
| 540 | } |
| 541 | |
| 542 | return TOSA_OK; |
| 543 | } |
| 544 | |
| 545 | tosa_err_t TosaSerializationHandler::InitWithBuf(const uint8_t* buf) |
| 546 | { |
| 547 | auto fb_tosa_graph = GetTosaGraph(buf); |
| 548 | auto fb_tosa_version = fb_tosa_graph->version(); |
| 549 | auto fb_tosa_blocks = fb_tosa_graph->blocks(); |
| 550 | |
| 551 | std::vector<std::string> operator_inputs_container; |
| 552 | std::vector<std::string> operator_outputs_container; |
| 553 | |
| 554 | std::vector<TosaSerializationOperator*> block_operators_container; |
| 555 | std::vector<TosaSerializationTensor*> block_tensors_container; |
| 556 | std::vector<std::string> block_inputs_container; |
| 557 | std::vector<std::string> block_outputs_container; |
| 558 | |
| 559 | TosaAttributeBase* typed_attribute = NULL; |
| 560 | TosaQuantInfoBase* typed_qinfo = NULL; |
| 561 | TosaSerializationOperator* new_operator = NULL; |
| 562 | TosaSerializationBasicBlock* new_block = NULL; |
| 563 | TosaSerializationTensor* new_tensor = NULL; |
| 564 | |
| 565 | // erase container |
| 566 | Clear(); |
| 567 | |
| 568 | TosaVersion read_version(fb_tosa_version->_major(), fb_tosa_version->_minor(), fb_tosa_version->_patch(), |
| 569 | fb_tosa_version->_experimental()); |
| 570 | tosa_err_t err = CheckTosaVersion(read_version); |
| 571 | |
| 572 | if (err != TOSA_OK) |
| 573 | return err; |
| 574 | |
| 575 | for (size_t i = 0; i < fb_tosa_blocks->size(); i++) |
| 576 | { |
| 577 | auto curr_block = fb_tosa_blocks->Get(i); |
| 578 | |
| 579 | auto block_name = curr_block->name()->str(); |
| 580 | |
| 581 | auto fb_tosa_operators = curr_block->operators(); |
| 582 | block_operators_container.clear(); |
| 583 | for (size_t j = 0; j < fb_tosa_operators->size(); j++) |
| 584 | { |
| 585 | auto curr_operator = fb_tosa_operators->Get(j); |
| 586 | |
| 587 | auto operator_op = curr_operator->op(); |
| 588 | auto attribute_type = curr_operator->attribute_type(); |
| 589 | auto attribute = curr_operator->attribute(); |
| 590 | auto operator_qinfo_type = curr_operator->quant_info_type(); |
| 591 | auto operator_qinfo = curr_operator->quant_info(); |
| 592 | |
| 593 | // input tensors |
| 594 | auto operator_inputs = curr_operator->inputs(); |
| 595 | operator_inputs_container.clear(); |
| 596 | if (operator_inputs) |
| 597 | { |
| 598 | for (size_t k = 0; k < operator_inputs->size(); k++) |
| 599 | { |
| 600 | auto curr_input = operator_inputs->Get(k); |
| 601 | operator_inputs_container.push_back(curr_input->str()); |
| 602 | } |
| 603 | } |
| 604 | |
| 605 | // output tensors |
| 606 | auto operator_outputs = curr_operator->outputs(); |
| 607 | operator_outputs_container.clear(); |
| 608 | if (operator_outputs) |
| 609 | { |
| 610 | for (size_t k = 0; k < operator_outputs->size(); k++) |
| 611 | { |
| 612 | auto curr_output = operator_outputs->Get(k); |
| 613 | operator_outputs_container.push_back(curr_output->str()); |
| 614 | } |
| 615 | } |
| 616 | |
| 617 | switch (attribute_type) |
| 618 | { |
| 619 | case Attribute_NONE: |
| 620 | typed_attribute = new TosaNoneAttribute(); |
| 621 | break; |
| 622 | #define DEF_ATTRIBUTE(NAME, ...) \ |
| 623 | case Attribute_##NAME##Attribute: \ |
| 624 | typed_attribute = new Tosa##NAME##Attribute(attribute); \ |
| 625 | break; |
| 626 | #include "attribute.def" |
| 627 | #undef DEF_ATTRIBUTE |
| 628 | default: |
| 629 | printf("TosaSerializationHandler::InitWithBuf(): Attribute %s not implemented yet\n", |
| 630 | EnumNamesAttribute()[attribute_type]); |
| 631 | return TOSA_INTERNAL_ERROR; |
| 632 | } |
| 633 | |
| 634 | switch (operator_qinfo_type) |
| 635 | { |
| 636 | case QuantInfo_NONE: |
| 637 | typed_qinfo = new TosaNoneQuantInfo(); |
| 638 | break; |
| 639 | #define DEF_QUANTIZATION_INFO(NAME, ...) \ |
| 640 | case QuantInfo_##NAME##QuantInfo: \ |
| 641 | typed_qinfo = new Tosa##NAME##QuantInfo(operator_qinfo); \ |
| 642 | break; |
| 643 | |
| 644 | #include "quant_info.def" |
| 645 | #undef DEF_QUANTIZATION_INFO |
| 646 | default: |
| 647 | printf("TosaSerializationHandler::InitWithBuf(): QuantInfo %s not implemented yet\n", |
| 648 | EnumNamesQuantInfo()[operator_qinfo_type]); |
| 649 | return TOSA_INTERNAL_ERROR; |
| 650 | } |
| 651 | |
| 652 | new_operator = |
| 653 | new TosaSerializationOperator(operator_op, attribute_type, typed_attribute, operator_qinfo_type, |
| 654 | typed_qinfo, operator_inputs_container, operator_outputs_container); |
| 655 | if (new_operator) |
| 656 | { |
| 657 | block_operators_container.push_back(new_operator); |
| 658 | } |
| 659 | else |
| 660 | { |
| 661 | return TOSA_MEMORY_ERROR; |
| 662 | } |
| 663 | |
| 664 | if (typed_attribute) |
| 665 | delete typed_attribute; |
| 666 | if (typed_qinfo) |
| 667 | delete typed_qinfo; |
| 668 | } |
| 669 | |
| 670 | auto fb_tosa_tensors = curr_block->tensors(); |
| 671 | block_tensors_container.clear(); |
| 672 | for (size_t j = 0; j < fb_tosa_tensors->size(); j++) |
| 673 | { |
| 674 | auto curr_tensor = fb_tosa_tensors->Get(j); |
| 675 | |
| 676 | auto tensor_name = curr_tensor->name(); |
| 677 | auto tensor_usage = curr_tensor->usage(); |
| 678 | auto tensor_shape = curr_tensor->shape(); |
| 679 | auto tensor_type = curr_tensor->type(); |
| 680 | auto tensor_format = curr_tensor->format(); |
| 681 | auto tensor_npy_filename = curr_tensor->npy_filename(); |
| 682 | |
| 683 | new_tensor = new TosaSerializationTensor(tensor_name, *tensor_usage, *tensor_shape, tensor_type, |
| 684 | *tensor_format, tensor_npy_filename); |
| 685 | if (new_tensor) |
| 686 | { |
| 687 | block_tensors_container.push_back(new_tensor); |
| 688 | } |
| 689 | else |
| 690 | { |
| 691 | return TOSA_MEMORY_ERROR; |
| 692 | } |
| 693 | } |
| 694 | |
| 695 | auto block_inputs = curr_block->inputs(); |
| 696 | auto block_outputs = curr_block->outputs(); |
| 697 | |
| 698 | block_inputs_container.clear(); |
| 699 | block_outputs_container.clear(); |
| 700 | |
| 701 | for (size_t j = 0; j < block_inputs->size(); j++) |
| 702 | { |
| 703 | auto curr_block_input = block_inputs->Get(j); |
| 704 | block_inputs_container.push_back(curr_block_input->str()); |
| 705 | } |
| 706 | for (size_t j = 0; j < block_outputs->size(); j++) |
| 707 | { |
| 708 | auto curr_block_output = block_outputs->Get(j); |
| 709 | block_outputs_container.push_back(curr_block_output->str()); |
| 710 | } |
| 711 | |
| 712 | new_block = new TosaSerializationBasicBlock(block_name, block_operators_container, block_tensors_container, |
| 713 | block_inputs_container, block_outputs_container); |
| 714 | if (new_block) |
| 715 | { |
| 716 | this->GetBlocks().push_back(new_block); |
| 717 | } |
| 718 | else |
| 719 | { |
| 720 | return TOSA_MEMORY_ERROR; |
| 721 | } |
| 722 | } |
| 723 | |
| 724 | return TOSA_OK; |
| 725 | } |
| 726 | |
| 727 | tosa_err_t TosaSerializationHandler::FreezeBuilder() |
| 728 | { |
| 729 | std::vector<flatbuffers::Offset<TosaBasicBlock>> fboffset_blocks; |
| 730 | |
| 731 | std::vector<flatbuffers::Offset<TosaOperator>> fboffset_block_operators; |
| 732 | std::vector<flatbuffers::Offset<TosaTensor>> fboffset_block_tensors; |
| 733 | std::vector<flatbuffers::Offset<flatbuffers::String>> fboffset_block_inputs; |
| 734 | std::vector<flatbuffers::Offset<flatbuffers::String>> fboffset_block_outputs; |
| 735 | |
| 736 | std::vector<flatbuffers::Offset<flatbuffers::String>> fboffset_operator_inputs; |
| 737 | std::vector<flatbuffers::Offset<flatbuffers::String>> fboffset_operator_outputs; |
| 738 | |
| 739 | // translate TosaFlatbufferOperator to flatbuffers::Offset<TosaOperator> |
| 740 | for (auto block : GetBlocks()) |
| 741 | { |
| 742 | fboffset_block_operators.clear(); |
| 743 | fboffset_block_tensors.clear(); |
| 744 | fboffset_block_inputs.clear(); |
| 745 | fboffset_block_outputs.clear(); |
| 746 | |
| 747 | auto block_name = _builder->CreateString(block->GetName().c_str()); |
| 748 | |
| 749 | for (auto tensor_str : block->GetInputs()) |
| 750 | { |
| 751 | auto tensor_name = _builder->CreateString(tensor_str.c_str()); |
| 752 | fboffset_block_inputs.push_back(tensor_name); |
| 753 | } |
| 754 | |
| 755 | for (auto tensor_str : block->GetOutputs()) |
| 756 | { |
| 757 | auto tensor_name = _builder->CreateString(tensor_str.c_str()); |
| 758 | fboffset_block_outputs.push_back(tensor_name); |
| 759 | } |
| 760 | |
| 761 | auto fb_block_inputs = _builder->CreateVector(fboffset_block_inputs); |
| 762 | auto fb_block_outputs = _builder->CreateVector(fboffset_block_outputs); |
| 763 | |
| 764 | for (auto op : block->GetOperators()) |
| 765 | { |
| 766 | fboffset_operator_inputs.clear(); |
| 767 | fboffset_operator_outputs.clear(); |
| 768 | |
| 769 | auto operator_op = op->GetOp(); |
| 770 | auto attribute_type = op->GetAttributeType(); |
| 771 | |
| 772 | for (auto tensor_str : op->GetInputTensorNames()) |
| 773 | { |
| 774 | auto tensor_name = _builder->CreateString(tensor_str.c_str()); |
| 775 | fboffset_operator_inputs.push_back(tensor_name); |
| 776 | } |
| 777 | |
| 778 | for (auto tensor_str : op->GetOutputTensorNames()) |
| 779 | { |
| 780 | auto tensor_name = _builder->CreateString(tensor_str.c_str()); |
| 781 | fboffset_operator_outputs.push_back(tensor_name); |
| 782 | } |
| 783 | |
| 784 | auto fb_operator_inputs = _builder->CreateVector(fboffset_operator_inputs); |
| 785 | auto fb_operator_outputs = _builder->CreateVector(fboffset_operator_outputs); |
| 786 | |
| 787 | flatbuffers::Offset<void> fb_attribute; |
| 788 | switch (attribute_type) |
| 789 | { |
| 790 | case Attribute_NONE: |
| 791 | fb_attribute = 0; |
| 792 | break; |
| 793 | |
| 794 | #define DEF_ARGS_S_STR(NAME, V) , _builder->CreateString(reinterpret_cast<Tosa##NAME*>(op->GetAttribute())->V().c_str()) |
| 795 | #define DEF_ARGS_S_DEFAULT(NAME, V) , reinterpret_cast<Tosa##NAME*>(op->GetAttribute())->V() |
| 796 | |
| 797 | #define DEF_ARGS_S_int32_t(NAME, V) DEF_ARGS_S_DEFAULT(NAME, V) |
| 798 | #define DEF_ARGS_S_float(NAME, V) DEF_ARGS_S_DEFAULT(NAME, V) |
| 799 | #define DEF_ARGS_S_bool(NAME, V) DEF_ARGS_S_DEFAULT(NAME, V) |
| 800 | #define DEF_ARGS_S_ResizeMode(NAME, V) DEF_ARGS_S_DEFAULT(NAME, V) |
| 801 | #define DEF_ARGS_S_string(NAME, V) DEF_ARGS_S_STR(NAME, V) |
| 802 | |
| 803 | #define DEF_ARGS_S(NAME, T, V) DEF_ARGS_S_##T(NAME, V) |
| 804 | #define DEF_ARGS_V(NAME, T, V) , _builder->CreateVector<T>(reinterpret_cast<Tosa##NAME*>(op->GetAttribute())->V()) |
| 805 | |
| 806 | #define DEF_ARGS_1(NAME, T0, F0, V0) DEF_ARGS_##F0(NAME, T0, V0) |
| 807 | #define DEF_ARGS_2(NAME, T0, F0, V0, T1, F1, V1) DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) |
| 808 | #define DEF_ARGS_3(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2) \ |
| 809 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) |
| 810 | #define DEF_ARGS_4(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3) \ |
| 811 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) |
| 812 | #define DEF_ARGS_5(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4) \ |
| 813 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 814 | DEF_ARGS_##F4(NAME, T4, V4) |
| 815 | #define DEF_ARGS_6(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4, T5, F5, V5) \ |
| 816 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 817 | DEF_ARGS_##F4(NAME, T4, V4) DEF_ARGS_##F5(NAME, T5, V5) |
| 818 | #define DEF_ARGS_7(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4, T5, F5, V5, T6, F6, V6) \ |
| 819 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 820 | DEF_ARGS_##F4(NAME, T4, V4) DEF_ARGS_##F5(NAME, T5, V5) DEF_ARGS_##F6(NAME, T6, V6) |
| 821 | #define DEF_ATTRIBUTE(NAME, NUM_ARGS, ...) \ |
| 822 | case Attribute_##NAME##Attribute: \ |
| 823 | fb_attribute = Create##NAME##Attribute(*_builder DEF_ARGS_##NUM_ARGS(NAME##Attribute, __VA_ARGS__)).Union(); \ |
| 824 | break; |
| 825 | |
| 826 | #include "attribute.def" |
| 827 | #undef DEF_ATTRIBUTE |
| 828 | #undef DEF_ARGS_1 |
| 829 | #undef DEF_ARGS_2 |
| 830 | #undef DEF_ARGS_3 |
| 831 | #undef DEF_ARGS_4 |
| 832 | #undef DEF_ARGS_5 |
| 833 | #undef DEF_ARGS_6 |
| 834 | #undef DEF_ARGS_7 |
| 835 | #undef DEF_ARGS_S |
| 836 | #undef DEF_ARGS_V |
| 837 | #undef DEF_ARGS_S_int32_t |
| 838 | #undef DEF_ARGS_S_float |
| 839 | #undef DEF_ARGS_S_bool |
| 840 | #undef DEF_ARGS_S_ResizeMode |
| 841 | #undef DEF_ARGS_S_string |
| 842 | #undef DEF_ARGS_S_STR |
| 843 | #undef DEF_ARGS_S_DEFAULT |
| 844 | default: |
| 845 | printf("TosaSerializationHandler::FreezeBuilder(): Attribute %s not implemented yet\n", |
| 846 | EnumNamesAttribute()[attribute_type]); |
| 847 | return TOSA_INTERNAL_ERROR; |
| 848 | } |
| 849 | |
| 850 | auto qinfo_type = op->GetQInfoType(); |
| 851 | flatbuffers::Offset<void> fb_operator_qinfo; |
| 852 | switch (qinfo_type) |
| 853 | { |
| 854 | case QuantInfo_NONE: |
| 855 | fb_operator_qinfo = 0; |
| 856 | break; |
| 857 | #define DEF_ARGS_S(NAME, T, V) , reinterpret_cast<Tosa##NAME*>(op->GetQInfo())->V() |
| 858 | #define DEF_ARGS_V(NAME, T, V) , _builder->CreateVector<T>(reinterpret_cast<Tosa##NAME*>(op->GetQInfo())->V()) |
| 859 | |
| 860 | #define DEF_ARGS_1(NAME, T0, F0, V0) DEF_ARGS_##F0(NAME, T0, V0) |
| 861 | #define DEF_ARGS_2(NAME, T0, F0, V0, T1, F1, V1) DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) |
| 862 | #define DEF_ARGS_3(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2) \ |
| 863 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) |
| 864 | #define DEF_ARGS_4(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3) \ |
| 865 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) |
| 866 | #define DEF_ARGS_5(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4) \ |
| 867 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 868 | DEF_ARGS_##F4(NAME, T4, V4) |
| 869 | #define DEF_ARGS_6(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4, T5, F5, V5) \ |
| 870 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 871 | DEF_ARGS_##F4(NAME, T4, V4) DEF_ARGS_##F5(NAME, T5, V5) |
| 872 | #define DEF_ARGS_7(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4, T5, F5, V5, T6, F6, V6) \ |
| 873 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 874 | DEF_ARGS_##F4(NAME, T4, V4) DEF_ARGS_##F5(NAME, T5, V5) DEF_ARGS_##F6(NAME, T6, V6) |
| 875 | #define DEF_ARGS_8(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4, T5, F5, V5, T6, F6, V6, T7, F7, \ |
| 876 | V7) \ |
| 877 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 878 | DEF_ARGS_##F4(NAME, T4, V4) DEF_ARGS_##F5(NAME, T5, V5) DEF_ARGS_##F6(NAME, T6, V6) \ |
| 879 | DEF_ARGS_##F7(NAME, T7, V7) |
| 880 | #define DEF_ARGS_9(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4, T5, F5, V5, T6, F6, V6, T7, F7, \ |
| 881 | V7, T8, F8, V8) \ |
| 882 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 883 | DEF_ARGS_##F4(NAME, T4, V4) DEF_ARGS_##F5(NAME, T5, V5) DEF_ARGS_##F6(NAME, T6, V6) \ |
| 884 | DEF_ARGS_##F7(NAME, T7, V7) DEF_ARGS_##F8(NAME, T8, V8) |
| 885 | #define DEF_ARGS_10(NAME, T0, F0, V0, T1, F1, V1, T2, F2, V2, T3, F3, V3, T4, F4, V4, T5, F5, V5, T6, F6, V6, T7, F7, \ |
| 886 | V7, T8, F8, V8, T9, F9, V9) \ |
| 887 | DEF_ARGS_##F0(NAME, T0, V0) DEF_ARGS_##F1(NAME, T1, V1) DEF_ARGS_##F2(NAME, T2, V2) DEF_ARGS_##F3(NAME, T3, V3) \ |
| 888 | DEF_ARGS_##F4(NAME, T4, V4) DEF_ARGS_##F5(NAME, T5, V5) DEF_ARGS_##F6(NAME, T6, V6) \ |
| 889 | DEF_ARGS_##F7(NAME, T7, V7) DEF_ARGS_##F8(NAME, T8, V8) DEF_ARGS_##F9(NAME, T9, V9) |
| 890 | #define DEF_QUANTIZATION_INFO(NAME, NUM_ARGS, ...) \ |
| 891 | case QuantInfo_##NAME##QuantInfo: \ |
| 892 | fb_operator_qinfo = \ |
| 893 | Create##NAME##QuantInfo(*_builder DEF_ARGS_##NUM_ARGS(NAME##QuantInfo, __VA_ARGS__)).Union(); \ |
| 894 | break; |
| 895 | |
| 896 | #include "quant_info.def" |
| 897 | #undef DEF_QUANTIZATION_INFO |
| 898 | #undef DEF_ARGS_1 |
| 899 | #undef DEF_ARGS_2 |
| 900 | #undef DEF_ARGS_3 |
| 901 | #undef DEF_ARGS_4 |
| 902 | #undef DEF_ARGS_5 |
| 903 | #undef DEF_ARGS_6 |
| 904 | #undef DEF_ARGS_7 |
| 905 | #undef DEF_ARGS_8 |
| 906 | #undef DEF_ARGS_9 |
| 907 | #undef DEF_ARGS_10 |
| 908 | #undef DEF_ARGS_S |
| 909 | #undef DEF_ARGS_V |
| 910 | default: |
| 911 | printf("TosaSerializationHandler::FreezeBuilder(): Attribute %s not implemented yet\n", |
| 912 | EnumNamesAttribute()[attribute_type]); |
| 913 | return TOSA_INTERNAL_ERROR; |
| 914 | } |
| 915 | |
| 916 | auto fboffset_operator = |
| 917 | CreateTosaOperator(*_builder, operator_op, attribute_type, fb_attribute, fb_operator_inputs, |
| 918 | fb_operator_outputs, qinfo_type, fb_operator_qinfo); |
| 919 | fboffset_block_operators.push_back(fboffset_operator); |
| 920 | } |
| 921 | |
| 922 | auto fb_block_operators = _builder->CreateVector(fboffset_block_operators); |
| 923 | |
| 924 | for (auto tensor : block->GetTensors()) |
| 925 | { |
| 926 | |
| 927 | auto tensor_name = _builder->CreateString(tensor->GetName().c_str()); |
| 928 | auto tensor_usage = |
| 929 | _builder->CreateVector(std::vector<uint32_t>(tensor->GetUsage().begin(), tensor->GetUsage().end())); |
| 930 | auto tensor_shape = _builder->CreateVector(tensor->GetShape()); |
| 931 | auto tensor_dtype = tensor->GetDtype(); |
| 932 | auto tensor_format = |
| 933 | _builder->CreateVector(std::vector<uint32_t>(tensor->GetFormat().begin(), tensor->GetFormat().end())); |
| 934 | flatbuffers::Offset<flatbuffers::String> tensor_npy_filename = 0; |
| 935 | if (tensor->GetNpyFilePtr()) |
| 936 | tensor_npy_filename = _builder->CreateString(tensor->GetNpyFilePtr()->c_str()); |
| 937 | |
| 938 | auto fboffset_tensor = CreateTosaTensor(*_builder, tensor_name, tensor_shape, tensor_dtype, tensor_usage, |
| 939 | tensor_format, tensor_npy_filename); |
| 940 | fboffset_block_tensors.push_back(fboffset_tensor); |
| 941 | } |
| 942 | |
| 943 | auto fb_block_tensors = _builder->CreateVector(fboffset_block_tensors); |
| 944 | |
| 945 | auto fboffset_block = CreateTosaBasicBlock(*_builder, block_name, fb_block_operators, fb_block_tensors, |
| 946 | fb_block_inputs, fb_block_outputs); |
| 947 | fboffset_blocks.push_back(fboffset_block); |
| 948 | } |
| 949 | |
| 950 | auto fb_blocks = _builder->CreateVector(fboffset_blocks); |
| 951 | |
| 952 | auto fb_version = CreateVersion(*_builder, GetTosaVersion()->_major, GetTosaVersion()->_minor, |
| 953 | GetTosaVersion()->_patch, GetTosaVersion()->_experimental); |
| 954 | |
| 955 | auto fb_graph = CreateTosaGraph(*_builder, fb_version, fb_blocks); |
| 956 | _builder->Finish(fb_graph); |
| 957 | |
| 958 | return TOSA_OK; |
| 959 | } |
| 960 | |
| 961 | // Magic NUMPY header |
| 962 | static const char NUMPY_HEADER_STR[] = "\x93NUMPY\x1\x0\x76\x0{"; |
| 963 | static const int NUMPY_HEADER_SZ = 128; |
| 964 | |
| 965 | NumpyUtilities::NPError NumpyUtilities::readFromNpyFile(const char* filename, const uint32_t elems, bool* databuf) |
| 966 | { |
| 967 | const char dtype_str[] = "'|b1'"; |
| 968 | FILE* infile = nullptr; |
| 969 | NPError rc = NO_ERROR; |
| 970 | |
| 971 | assert(filename); |
| 972 | assert(databuf); |
| 973 | |
| 974 | infile = fopen(filename, "rb"); |
| 975 | if (!infile) |
| 976 | { |
| 977 | rc = FILE_NOT_FOUND; |
| 978 | goto done; |
| 979 | } |
| 980 | |
| 981 | rc = checkNpyHeader(infile, elems, dtype_str); |
| 982 | if (rc != NO_ERROR) |
| 983 | { |
| 984 | goto done; |
| 985 | } |
| 986 | |
| 987 | // Read in the data from numpy byte array to native bool |
| 988 | // array format |
| 989 | for (uint32_t i = 0; i < elems; i++) |
| 990 | { |
| 991 | int val = fgetc(infile); |
| 992 | |
| 993 | if (val == EOF) |
| 994 | { |
| 995 | rc = FILE_IO_ERROR; |
| 996 | goto done; |
| 997 | } |
| 998 | |
| 999 | databuf[i] = val; |
| 1000 | } |
| 1001 | |
| 1002 | done: |
| 1003 | |
| 1004 | if (infile) |
| 1005 | fclose(infile); |
| 1006 | |
| 1007 | return rc; |
| 1008 | } |
| 1009 | |
| 1010 | NumpyUtilities::NPError NumpyUtilities::readFromNpyFile(const char* filename, const uint32_t elems, int32_t* databuf) |
| 1011 | { |
| 1012 | const char dtype_str[] = "'<i4'"; |
| 1013 | FILE* infile = nullptr; |
| 1014 | NPError rc = NO_ERROR; |
| 1015 | |
| 1016 | assert(filename); |
| 1017 | assert(databuf); |
| 1018 | |
| 1019 | infile = fopen(filename, "rb"); |
| 1020 | if (!infile) |
| 1021 | { |
| 1022 | rc = FILE_NOT_FOUND; |
| 1023 | goto done; |
| 1024 | } |
| 1025 | |
| 1026 | rc = checkNpyHeader(infile, elems, dtype_str); |
| 1027 | if (rc != NO_ERROR) |
| 1028 | { |
| 1029 | goto done; |
| 1030 | } |
| 1031 | |
| 1032 | // Now we are at the beginning of the data |
| 1033 | // Parse based on the datatype and number of dimensions |
| 1034 | if (fread(databuf, sizeof(int32_t), elems, infile) != elems) |
| 1035 | { |
| 1036 | rc = FILE_IO_ERROR; |
| 1037 | goto done; |
| 1038 | } |
| 1039 | |
| 1040 | done: |
| 1041 | |
| 1042 | if (infile) |
| 1043 | fclose(infile); |
| 1044 | |
| 1045 | return rc; |
| 1046 | } |
| 1047 | |
| 1048 | NumpyUtilities::NPError NumpyUtilities::readFromNpyFile(const char* filename, const uint32_t elems, int64_t* databuf) |
| 1049 | { |
| 1050 | const char dtype_str[] = "'<i8'"; |
| 1051 | FILE* infile = nullptr; |
| 1052 | NPError rc = NO_ERROR; |
| 1053 | |
| 1054 | assert(filename); |
| 1055 | assert(databuf); |
| 1056 | |
| 1057 | infile = fopen(filename, "rb"); |
| 1058 | if (!infile) |
| 1059 | { |
| 1060 | rc = FILE_NOT_FOUND; |
| 1061 | goto done; |
| 1062 | } |
| 1063 | |
| 1064 | rc = checkNpyHeader(infile, elems, dtype_str); |
| 1065 | if (rc != NO_ERROR) |
| 1066 | { |
| 1067 | goto done; |
| 1068 | } |
| 1069 | |
| 1070 | // Now we are at the beginning of the data |
| 1071 | // Parse based on the datatype and number of dimensions |
| 1072 | if (fread(databuf, sizeof(int64_t), elems, infile) != elems) |
| 1073 | { |
| 1074 | rc = FILE_IO_ERROR; |
| 1075 | goto done; |
| 1076 | } |
| 1077 | |
| 1078 | done: |
| 1079 | |
| 1080 | if (infile) |
| 1081 | fclose(infile); |
| 1082 | |
| 1083 | return rc; |
| 1084 | } |
| 1085 | |
| 1086 | NumpyUtilities::NPError NumpyUtilities::readFromNpyFile(const char* filename, const uint32_t elems, float* databuf) |
| 1087 | { |
| 1088 | const char dtype_str[] = "'<f4'"; |
| 1089 | FILE* infile = nullptr; |
| 1090 | NPError rc = NO_ERROR; |
| 1091 | |
| 1092 | assert(filename); |
| 1093 | assert(databuf); |
| 1094 | |
| 1095 | infile = fopen(filename, "rb"); |
| 1096 | if (!infile) |
| 1097 | { |
| 1098 | rc = FILE_NOT_FOUND; |
| 1099 | goto done; |
| 1100 | } |
| 1101 | |
| 1102 | rc = checkNpyHeader(infile, elems, dtype_str); |
| 1103 | if (rc != NO_ERROR) |
| 1104 | { |
| 1105 | goto done; |
| 1106 | } |
| 1107 | |
| 1108 | // Now we are at the beginning of the data |
| 1109 | // Parse based on the datatype and number of dimensions |
| 1110 | if (fread(databuf, sizeof(float), elems, infile) != elems) |
| 1111 | { |
| 1112 | rc = FILE_IO_ERROR; |
| 1113 | goto done; |
| 1114 | } |
| 1115 | |
| 1116 | done: |
| 1117 | |
| 1118 | if (infile) |
| 1119 | fclose(infile); |
| 1120 | |
| 1121 | return rc; |
| 1122 | } |
| 1123 | |
| 1124 | NumpyUtilities::NPError NumpyUtilities::checkNpyHeader(FILE* infile, const uint32_t elems, const char* dtype_str) |
| 1125 | { |
| 1126 | char buf[NUMPY_HEADER_SZ + 1]; |
| 1127 | char* ptr = nullptr; |
| 1128 | NPError rc = NO_ERROR; |
| 1129 | bool foundFormat = false; |
| 1130 | bool foundOrder = false; |
| 1131 | bool foundShape = false; |
| 1132 | bool fortranOrder = false; |
| 1133 | std::vector<int> shape; |
| 1134 | uint32_t totalElems = 1; |
| 1135 | char* outer_end = NULL; |
| 1136 | |
| 1137 | assert(infile); |
| 1138 | assert(elems > 0); |
| 1139 | |
| 1140 | if (fread(buf, NUMPY_HEADER_SZ, 1, infile) != 1) |
| 1141 | { |
| 1142 | rc = HEADER_PARSE_ERROR; |
| 1143 | goto done; |
| 1144 | } |
| 1145 | |
| 1146 | if (memcmp(buf, NUMPY_HEADER_STR, sizeof(NUMPY_HEADER_STR) - 1)) |
| 1147 | { |
| 1148 | rc = HEADER_PARSE_ERROR; |
| 1149 | goto done; |
| 1150 | } |
| 1151 | |
| 1152 | ptr = strtok_r(buf + sizeof(NUMPY_HEADER_STR) - 1, ":", &outer_end); |
| 1153 | |
| 1154 | // Read in the data type, order, and shape |
| 1155 | while (ptr && (!foundFormat || !foundOrder || !foundShape)) |
| 1156 | { |
| 1157 | |
| 1158 | // End of string? |
| 1159 | if (!ptr) |
| 1160 | break; |
| 1161 | |
| 1162 | // Skip whitespace |
| 1163 | while (isspace(*ptr)) |
| 1164 | ptr++; |
| 1165 | |
| 1166 | // Parse the dictionary field name |
| 1167 | if (!strcmp(ptr, "'descr'")) |
| 1168 | { |
| 1169 | ptr = strtok_r(NULL, ",", &outer_end); |
| 1170 | if (!ptr) |
| 1171 | break; |
| 1172 | |
| 1173 | while (isspace(*ptr)) |
| 1174 | ptr++; |
| 1175 | |
| 1176 | if (strcmp(ptr, dtype_str)) |
| 1177 | { |
| 1178 | rc = FILE_TYPE_MISMATCH; |
| 1179 | goto done; |
| 1180 | } |
| 1181 | |
| 1182 | foundFormat = true; |
| 1183 | } |
| 1184 | else if (!strcmp(ptr, "'fortran_order'")) |
| 1185 | { |
| 1186 | ptr = strtok_r(NULL, ",", &outer_end); |
| 1187 | if (!ptr) |
| 1188 | break; |
| 1189 | |
| 1190 | while (isspace(*ptr)) |
| 1191 | ptr++; |
| 1192 | |
| 1193 | if (!strcmp(ptr, "False")) |
| 1194 | { |
| 1195 | fortranOrder = false; |
| 1196 | } |
| 1197 | else |
| 1198 | { |
| 1199 | rc = FILE_TYPE_MISMATCH; |
| 1200 | goto done; |
| 1201 | } |
| 1202 | |
| 1203 | foundOrder = true; |
| 1204 | } |
| 1205 | else if (!strcmp(ptr, "'shape'")) |
| 1206 | { |
| 1207 | |
| 1208 | ptr = strtok_r(NULL, "(", &outer_end); |
| 1209 | if (!ptr) |
| 1210 | break; |
| 1211 | ptr = strtok_r(NULL, ")", &outer_end); |
| 1212 | if (!ptr) |
| 1213 | break; |
| 1214 | |
| 1215 | while (isspace(*ptr)) |
| 1216 | ptr++; |
| 1217 | |
| 1218 | // The shape contains N comma-separated integers. Read up to 4. |
| 1219 | char* end = NULL; |
| 1220 | |
| 1221 | ptr = strtok_r(ptr, ",", &end); |
| 1222 | for (int i = 0; i < 4; i++) |
| 1223 | { |
| 1224 | // Out of dimensions |
| 1225 | if (!ptr) |
| 1226 | break; |
| 1227 | |
Kevin Cheng | 4025315 | 2020-12-30 10:12:35 -0800 | [diff] [blame] | 1228 | int dim = atoi(ptr); |
| 1229 | |
| 1230 | // Dimension is 0 |
| 1231 | if (dim == 0) |
| 1232 | break; |
| 1233 | |
| 1234 | shape.push_back(dim); |
| 1235 | totalElems *= dim; |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 1236 | ptr = strtok_r(NULL, ",", &end); |
| 1237 | } |
| 1238 | |
| 1239 | foundShape = true; |
| 1240 | } |
| 1241 | else |
| 1242 | { |
| 1243 | rc = HEADER_PARSE_ERROR; |
| 1244 | goto done; |
| 1245 | } |
| 1246 | |
| 1247 | if (!ptr) |
| 1248 | break; |
| 1249 | |
| 1250 | ptr = strtok_r(NULL, ":", &outer_end); |
| 1251 | } |
| 1252 | |
| 1253 | if (!foundShape || !foundFormat || !foundOrder) |
| 1254 | { |
| 1255 | rc = HEADER_PARSE_ERROR; |
| 1256 | goto done; |
| 1257 | } |
| 1258 | |
| 1259 | // Validate header |
| 1260 | if (fortranOrder != false) |
| 1261 | { |
| 1262 | rc = FILE_TYPE_MISMATCH; |
| 1263 | goto done; |
| 1264 | } |
| 1265 | |
| 1266 | if (totalElems != elems) |
| 1267 | { |
| 1268 | rc = BUFFER_SIZE_MISMATCH; |
| 1269 | goto done; |
| 1270 | } |
| 1271 | |
| 1272 | // Go back to the begininng and read until the end of the header dictionary |
| 1273 | rewind(infile); |
| 1274 | int val; |
| 1275 | |
| 1276 | do |
| 1277 | { |
| 1278 | val = fgetc(infile); |
| 1279 | } while (val != EOF && val != '\n'); |
| 1280 | |
| 1281 | done: |
| 1282 | |
| 1283 | return rc; |
| 1284 | } |
| 1285 | |
| 1286 | NumpyUtilities::NPError NumpyUtilities::writeToNpyFile(const char* filename, const uint32_t elems, const bool* databuf) |
| 1287 | { |
| 1288 | std::vector<int32_t> shape = { (int32_t)elems }; |
| 1289 | return writeToNpyFile(filename, shape, databuf); |
| 1290 | } |
| 1291 | |
| 1292 | NumpyUtilities::NPError |
| 1293 | NumpyUtilities::writeToNpyFile(const char* filename, const std::vector<int32_t>& shape, const bool* databuf) |
| 1294 | { |
| 1295 | const char dtype_str[] = "'|b1'"; |
| 1296 | FILE* outfile = nullptr; |
| 1297 | NPError rc = NO_ERROR; |
| 1298 | uint32_t totalElems = 1; |
| 1299 | |
| 1300 | assert(filename); |
| 1301 | assert(shape.size() >= 0); |
| 1302 | assert(databuf); |
| 1303 | |
| 1304 | outfile = fopen(filename, "wb"); |
| 1305 | |
| 1306 | if (!outfile) |
| 1307 | { |
| 1308 | rc = FILE_NOT_FOUND; |
| 1309 | goto done; |
| 1310 | } |
| 1311 | |
| 1312 | for (uint32_t i = 0; i < shape.size(); i++) |
| 1313 | { |
| 1314 | totalElems *= shape[i]; |
| 1315 | } |
| 1316 | |
| 1317 | rc = writeNpyHeader(outfile, shape, dtype_str); |
| 1318 | |
| 1319 | // Numpy save format stores booleans as a byte array |
| 1320 | // with one byte per boolean. This somewhat inefficiently |
| 1321 | // remaps from system bool[] to this format. |
| 1322 | for (uint32_t i = 0; i < totalElems; i++) |
| 1323 | { |
| 1324 | int val = databuf[i] ? 1 : 0; |
| 1325 | if (fputc(val, outfile) == EOF) |
| 1326 | { |
| 1327 | rc = FILE_IO_ERROR; |
| 1328 | goto done; |
| 1329 | } |
| 1330 | } |
| 1331 | |
| 1332 | done: |
| 1333 | |
| 1334 | if (outfile) |
| 1335 | fclose(outfile); |
| 1336 | |
| 1337 | return rc; |
| 1338 | } |
| 1339 | |
| 1340 | NumpyUtilities::NPError |
| 1341 | NumpyUtilities::writeToNpyFile(const char* filename, const uint32_t elems, const int32_t* databuf) |
| 1342 | { |
| 1343 | std::vector<int32_t> shape = { (int32_t)elems }; |
| 1344 | return writeToNpyFile(filename, shape, databuf); |
| 1345 | } |
| 1346 | |
| 1347 | NumpyUtilities::NPError |
| 1348 | NumpyUtilities::writeToNpyFile(const char* filename, const std::vector<int32_t>& shape, const int32_t* databuf) |
| 1349 | { |
| 1350 | const char dtype_str[] = "'<i4'"; |
| 1351 | FILE* outfile = nullptr; |
| 1352 | NPError rc = NO_ERROR; |
| 1353 | uint32_t totalElems = 1; |
| 1354 | |
| 1355 | assert(filename); |
| 1356 | assert(shape.size() >= 0); |
| 1357 | assert(databuf); |
| 1358 | |
| 1359 | outfile = fopen(filename, "wb"); |
| 1360 | |
| 1361 | if (!outfile) |
| 1362 | { |
| 1363 | rc = FILE_NOT_FOUND; |
| 1364 | goto done; |
| 1365 | } |
| 1366 | |
| 1367 | for (uint32_t i = 0; i < shape.size(); i++) |
| 1368 | { |
| 1369 | totalElems *= shape[i]; |
| 1370 | } |
| 1371 | |
| 1372 | rc = writeNpyHeader(outfile, shape, dtype_str); |
| 1373 | |
| 1374 | if (fwrite(databuf, sizeof(int32_t), totalElems, outfile) != totalElems) |
| 1375 | { |
| 1376 | rc = FILE_IO_ERROR; |
| 1377 | goto done; |
| 1378 | } |
| 1379 | |
| 1380 | done: |
| 1381 | |
| 1382 | if (outfile) |
| 1383 | fclose(outfile); |
| 1384 | |
| 1385 | return rc; |
| 1386 | } |
| 1387 | |
| 1388 | NumpyUtilities::NPError |
| 1389 | NumpyUtilities::writeToNpyFile(const char* filename, const uint32_t elems, const int64_t* databuf) |
| 1390 | { |
| 1391 | std::vector<int32_t> shape = { (int32_t)elems }; |
| 1392 | return writeToNpyFile(filename, shape, databuf); |
| 1393 | } |
| 1394 | |
| 1395 | NumpyUtilities::NPError |
| 1396 | NumpyUtilities::writeToNpyFile(const char* filename, const std::vector<int32_t>& shape, const int64_t* databuf) |
| 1397 | { |
| 1398 | const char dtype_str[] = "'<i8'"; |
| 1399 | FILE* outfile = nullptr; |
| 1400 | NPError rc = NO_ERROR; |
| 1401 | uint32_t totalElems = 1; |
| 1402 | |
| 1403 | assert(filename); |
| 1404 | assert(shape.size() >= 0); |
| 1405 | assert(databuf); |
| 1406 | |
| 1407 | outfile = fopen(filename, "wb"); |
| 1408 | |
| 1409 | if (!outfile) |
| 1410 | { |
| 1411 | rc = FILE_NOT_FOUND; |
| 1412 | goto done; |
| 1413 | } |
| 1414 | |
| 1415 | for (uint32_t i = 0; i < shape.size(); i++) |
| 1416 | { |
| 1417 | totalElems *= shape[i]; |
| 1418 | } |
| 1419 | |
| 1420 | rc = writeNpyHeader(outfile, shape, dtype_str); |
| 1421 | |
| 1422 | if (fwrite(databuf, sizeof(int64_t), totalElems, outfile) != totalElems) |
| 1423 | { |
| 1424 | rc = FILE_IO_ERROR; |
| 1425 | goto done; |
| 1426 | } |
| 1427 | |
| 1428 | done: |
| 1429 | |
| 1430 | if (outfile) |
| 1431 | fclose(outfile); |
| 1432 | |
| 1433 | return rc; |
| 1434 | } |
| 1435 | |
| 1436 | NumpyUtilities::NPError NumpyUtilities::writeToNpyFile(const char* filename, const uint32_t elems, const float* databuf) |
| 1437 | { |
| 1438 | std::vector<int32_t> shape = { (int32_t)elems }; |
| 1439 | return writeToNpyFile(filename, shape, databuf); |
| 1440 | } |
| 1441 | |
| 1442 | NumpyUtilities::NPError |
| 1443 | NumpyUtilities::writeToNpyFile(const char* filename, const std::vector<int32_t>& shape, const float* databuf) |
| 1444 | { |
| 1445 | const char dtype_str[] = "'<f4'"; |
| 1446 | FILE* outfile = nullptr; |
| 1447 | NPError rc = NO_ERROR; |
| 1448 | uint32_t totalElems = 1; |
| 1449 | |
| 1450 | assert(filename); |
| 1451 | assert(shape.size() >= 0); |
| 1452 | assert(databuf); |
| 1453 | |
| 1454 | outfile = fopen(filename, "wb"); |
| 1455 | |
| 1456 | if (!outfile) |
| 1457 | { |
| 1458 | rc = FILE_NOT_FOUND; |
| 1459 | goto done; |
| 1460 | } |
| 1461 | |
| 1462 | for (uint32_t i = 0; i < shape.size(); i++) |
| 1463 | { |
| 1464 | totalElems *= shape[i]; |
| 1465 | } |
| 1466 | |
| 1467 | rc = writeNpyHeader(outfile, shape, dtype_str); |
| 1468 | |
| 1469 | if (fwrite(databuf, sizeof(float), totalElems, outfile) != totalElems) |
| 1470 | { |
| 1471 | rc = FILE_IO_ERROR; |
| 1472 | goto done; |
| 1473 | } |
| 1474 | |
| 1475 | done: |
| 1476 | |
| 1477 | if (outfile) |
| 1478 | fclose(outfile); |
| 1479 | |
| 1480 | return rc; |
| 1481 | } |
| 1482 | |
| 1483 | NumpyUtilities::NPError |
| 1484 | NumpyUtilities::writeNpyHeader(FILE* outfile, const std::vector<int32_t>& shape, const char* dtype_str) |
| 1485 | { |
| 1486 | NPError rc = NO_ERROR; |
| 1487 | uint32_t i; |
| 1488 | char header[NUMPY_HEADER_SZ + 1]; |
| 1489 | int headerPos = 0; |
| 1490 | |
| 1491 | assert(outfile); |
| 1492 | assert(shape.size() >= 0); |
| 1493 | |
| 1494 | // Space-fill the header and end with a newline to start per numpy spec |
| 1495 | memset(header, 0x20, NUMPY_HEADER_SZ); |
| 1496 | header[NUMPY_HEADER_SZ - 1] = '\n'; |
| 1497 | header[NUMPY_HEADER_SZ] = 0; |
| 1498 | |
| 1499 | // Write out the hard-coded header. We only support a 128-byte 1.0 header |
| 1500 | // for now, which should be sufficient for simple tensor types of any |
| 1501 | // reasonable rank. |
| 1502 | memcpy(header, NUMPY_HEADER_STR, sizeof(NUMPY_HEADER_STR) - 1); |
| 1503 | headerPos += sizeof(NUMPY_HEADER_STR) - 1; |
| 1504 | |
| 1505 | // Output the format dictionary |
| 1506 | // Hard-coded for I32 for now |
| 1507 | headerPos += |
| 1508 | snprintf(header + headerPos, NUMPY_HEADER_SZ - headerPos, "'descr': %s, 'fortran_order': False, 'shape': (%d,", |
| 1509 | dtype_str, shape.size() > 0 ? shape[0] : 1); |
| 1510 | |
| 1511 | // Remainder of shape array |
| 1512 | for (i = 1; i < shape.size(); i++) |
| 1513 | { |
| 1514 | headerPos += snprintf(header + headerPos, NUMPY_HEADER_SZ - headerPos, " %d,", shape[i]); |
| 1515 | } |
| 1516 | |
| 1517 | // Close off the dictionary |
| 1518 | headerPos += snprintf(header + headerPos, NUMPY_HEADER_SZ - headerPos, "), }"); |
| 1519 | |
| 1520 | // snprintf leaves a NULL at the end. Replace with a space |
| 1521 | header[headerPos] = 0x20; |
| 1522 | |
| 1523 | if (fwrite(header, NUMPY_HEADER_SZ, 1, outfile) != 1) |
| 1524 | { |
| 1525 | rc = FILE_IO_ERROR; |
| 1526 | goto done; |
| 1527 | } |
| 1528 | |
| 1529 | done: |
| 1530 | |
| 1531 | return rc; |
| 1532 | } |