| 1 | # This file was autogenerated by uv via the following command: |
| 2 | # uv pip compile requirements/test/cuda.in -c requirements/cuda.txt -o requirements/test/cuda.txt --index-strategy unsafe-best-match --torch-backend cu130 --python-platform x86_64-manylinux_2_28 --python-version 3.12 |
| 3 | abi3info==2025.11.29 |
| 4 | # via torch-abi-audit |
| 5 | absl-py==2.1.0 |
| 6 | # via rouge-score |
| 7 | accelerate==1.13.0 |
| 8 | # via peft |
| 9 | aiohappyeyeballs==2.6.1 |
| 10 | # via aiohttp |
| 11 | aiohttp==3.14.3 |
| 12 | # via |
| 13 | # -c requirements/common.txt |
| 14 | # -r requirements/test/../common.txt |
| 15 | # aiohttp-cors |
| 16 | # datasets |
| 17 | # fsspec |
| 18 | # gpt-oss |
| 19 | # lm-eval |
| 20 | # ray |
| 21 | aiohttp-cors==0.8.1 |
| 22 | # via ray |
| 23 | aiosignal==1.4.0 |
| 24 | # via aiohttp |
| 25 | albumentations==1.4.6 |
| 26 | # via -r requirements/test/cuda.in |
| 27 | alembic==1.16.4 |
| 28 | # via optuna |
| 29 | annotated-doc==0.0.4 |
| 30 | # via |
| 31 | # fastapi |
| 32 | # typer |
| 33 | annotated-types==0.7.0 |
| 34 | # via pydantic |
| 35 | anthropic==0.112.0 |
| 36 | # via |
| 37 | # -c requirements/common.txt |
| 38 | # -r requirements/test/../common.txt |
| 39 | anyio==4.14.2 |
| 40 | # via |
| 41 | # -r requirements/test/cuda.in |
| 42 | # anthropic |
| 43 | # httpx |
| 44 | # httpx2 |
| 45 | # mcp |
| 46 | # openai |
| 47 | # sse-starlette |
| 48 | # starlette |
| 49 | # watchfiles |
| 50 | apache-tvm-ffi==0.1.11 |
| 51 | # via |
| 52 | # -c requirements/cuda.txt |
| 53 | # xgrammar |
| 54 | arctic-inference==0.1.1 |
| 55 | # via -r requirements/test/cuda.in |
| 56 | argcomplete==3.5.1 |
| 57 | # via datamodel-code-generator |
| 58 | astor==0.8.1 |
| 59 | # via depyf |
| 60 | attrs==24.2.0 |
| 61 | # via |
| 62 | # aiohttp |
| 63 | # hypothesis |
| 64 | # jsonschema |
| 65 | # referencing |
| 66 | audioread==3.0.1 |
| 67 | # via librosa |
| 68 | av==16.1.0 |
| 69 | # via -r requirements/test/cuda.in |
| 70 | azure-core==1.38.2 |
| 71 | # via |
| 72 | # azure-identity |
| 73 | # azure-storage-blob |
| 74 | azure-identity==1.25.2 |
| 75 | # via runai-model-streamer-azure |
| 76 | azure-storage-blob==12.28.0 |
| 77 | # via runai-model-streamer-azure |
| 78 | backoff==2.2.1 |
| 79 | # via -r requirements/test/cuda.in |
| 80 | black==26.5.1 |
| 81 | # via |
| 82 | # -r requirements/test/cuda.in |
| 83 | # datamodel-code-generator |
| 84 | blake3==1.0.9 |
| 85 | # via -r requirements/test/../common.txt |
| 86 | blobfile==3.0.0 |
| 87 | # via |
| 88 | # -r requirements/test/cuda.in |
| 89 | # gpt-oss |
| 90 | bm25s==0.2.13 |
| 91 | # via mteb |
| 92 | boto3==1.35.57 |
| 93 | # via |
| 94 | # runai-model-streamer-s3 |
| 95 | # tensorizer |
| 96 | botocore==1.35.57 |
| 97 | # via |
| 98 | # boto3 |
| 99 | # s3transfer |
| 100 | bounded-pool-executor==0.0.3 |
| 101 | # via pqdm |
| 102 | buildkite-test-collector==0.1.9 |
| 103 | # via -r requirements/test/cuda.in |
| 104 | cachetools==5.5.2 |
| 105 | # via |
| 106 | # -r requirements/test/../common.txt |
| 107 | # google-auth |
| 108 | cbor2==6.1.2 |
| 109 | # via -r requirements/test/../common.txt |
| 110 | certifi==2024.8.30 |
| 111 | # via |
| 112 | # httpcore |
| 113 | # httpx |
| 114 | # requests |
| 115 | # sentry-sdk |
| 116 | cffi==2.0.0 |
| 117 | # via |
| 118 | # cryptography |
| 119 | # soundfile |
| 120 | chardet==5.2.0 |
| 121 | # via mbstrdecoder |
| 122 | charset-normalizer==3.4.0 |
| 123 | # via requests |
| 124 | chz==0.4.0 |
| 125 | # via gpt-oss |
| 126 | click==8.4.2 |
| 127 | # via |
| 128 | # black |
| 129 | # huggingface-hub |
| 130 | # jiwer |
| 131 | # nltk |
| 132 | # ray |
| 133 | # rich-toolkit |
| 134 | # schemathesis |
| 135 | # uvicorn |
| 136 | cloudpickle==3.1.2 |
| 137 | # via -r requirements/test/../common.txt |
| 138 | cohere==7.0.8 |
| 139 | # via -r requirements/test/cuda.in |
| 140 | cohere-melody==0.14.0 |
| 141 | # via -r requirements/test/cuda.in |
| 142 | colorama==0.4.6 |
| 143 | # via |
| 144 | # perceptron |
| 145 | # sacrebleu |
| 146 | colorful==0.5.6 |
| 147 | # via ray |
| 148 | colorlog==6.10.1 |
| 149 | # via optuna |
| 150 | compressed-tensors==0.17.0 |
| 151 | # via |
| 152 | # -c requirements/common.txt |
| 153 | # -r requirements/test/../common.txt |
| 154 | contourpy==1.3.0 |
| 155 | # via matplotlib |
| 156 | coverage==7.10.6 |
| 157 | # via pytest-cov |
| 158 | cramjam==2.9.0 |
| 159 | # via fastparquet |
| 160 | cryptography==50.0.1 |
| 161 | # via |
| 162 | # -r requirements/test/cuda.in |
| 163 | # azure-identity |
| 164 | # azure-storage-blob |
| 165 | # msal |
| 166 | # pyjwt |
| 167 | cuda-bindings==13.0.3 |
| 168 | # via torch |
| 169 | cuda-pathfinder==1.3.3 |
| 170 | # via cuda-bindings |
| 171 | cuda-toolkit==13.0.3.0 |
| 172 | # via torch |
| 173 | cupy-cuda12x==13.6.0 |
| 174 | # via ray |
| 175 | cycler==0.12.1 |
| 176 | # via matplotlib |
| 177 | datamodel-code-generator==0.79.0 |
| 178 | # via -r requirements/test/cuda.in |
| 179 | dataproperty==1.0.1 |
| 180 | # via |
| 181 | # pytablewriter |
| 182 | # tabledata |
| 183 | datasets==3.3.0 |
| 184 | # via |
| 185 | # -r requirements/test/cuda.in |
| 186 | # evaluate |
| 187 | # lm-eval |
| 188 | # mteb |
| 189 | decorator==5.1.1 |
| 190 | # via librosa |
| 191 | decord==0.6.0 |
| 192 | # via -r requirements/test/cuda.in |
| 193 | defusedxml==0.7.1 |
| 194 | # via nltk |
| 195 | depyf==0.20.0 |
| 196 | # via |
| 197 | # -c requirements/common.txt |
| 198 | # -r requirements/test/../common.txt |
| 199 | detect-installer==0.1.0 |
| 200 | # via fastapi-cloud-cli |
| 201 | dill==0.3.8 |
| 202 | # via |
| 203 | # datasets |
| 204 | # depyf |
| 205 | # evaluate |
| 206 | # lm-eval |
| 207 | # multiprocess |
| 208 | distlib==0.3.9 |
| 209 | # via virtualenv |
| 210 | distro==1.9.0 |
| 211 | # via |
| 212 | # anthropic |
| 213 | # openai |
| 214 | dnspython==2.7.0 |
| 215 | # via email-validator |
| 216 | docker==7.2.0 |
| 217 | # via gpt-oss |
| 218 | docopt==0.6.2 |
| 219 | # via num2words |
| 220 | docstring-parser==0.18.0 |
| 221 | # via anthropic |
| 222 | einops==0.8.1 |
| 223 | # via |
| 224 | # -r requirements/test/../common.txt |
| 225 | # encodec |
| 226 | # vector-quantize-pytorch |
| 227 | # vocos |
| 228 | einx==0.3.0 |
| 229 | # via vector-quantize-pytorch |
| 230 | email-validator==2.2.0 |
| 231 | # via |
| 232 | # fastapi |
| 233 | # pydantic |
| 234 | encodec==0.1.1 |
| 235 | # via vocos |
| 236 | et-xmlfile==2.0.0 |
| 237 | # via openpyxl |
| 238 | evaluate==0.4.3 |
| 239 | # via lm-eval |
| 240 | fastapi==0.136.3 |
| 241 | # via |
| 242 | # -c requirements/common.txt |
| 243 | # -r requirements/test/../common.txt |
| 244 | # gpt-oss |
| 245 | # model-hosting-container-standards |
| 246 | fastapi-cli==0.0.27 |
| 247 | # via fastapi |
| 248 | fastapi-cloud-cli==0.21.0 |
| 249 | # via fastapi-cli |
| 250 | fastar==0.11.0 |
| 251 | # via |
| 252 | # fastapi |
| 253 | # fastapi-cloud-cli |
| 254 | fastavro==1.12.2 |
| 255 | # via cohere |
| 256 | fastparquet==2024.11.0 |
| 257 | # via genai-perf |
| 258 | fastrlock==0.8.2 |
| 259 | # via cupy-cuda12x |
| 260 | fastsafetensors==0.3.3 |
| 261 | # via |
| 262 | # -c requirements/cuda.txt |
| 263 | # -r requirements/test/cuda.in |
| 264 | filelock==4.0.7 |
| 265 | # via |
| 266 | # -c requirements/common.txt |
| 267 | # -r requirements/test/../common.txt |
| 268 | # blobfile |
| 269 | # datasets |
| 270 | # huggingface-hub |
| 271 | # python-discovery |
| 272 | # ray |
| 273 | # torch |
| 274 | # virtualenv |
| 275 | fonttools==4.66.1 |
| 276 | # via |
| 277 | # -r requirements/test/cuda.in |
| 278 | # matplotlib |
| 279 | frozendict==2.4.6 |
| 280 | # via einx |
| 281 | frozenlist==1.5.0 |
| 282 | # via |
| 283 | # aiohttp |
| 284 | # aiosignal |
| 285 | fsspec==2024.12.0 |
| 286 | # via |
| 287 | # datasets |
| 288 | # evaluate |
| 289 | # fastparquet |
| 290 | # huggingface-hub |
| 291 | # torch |
| 292 | ftfy==6.3.1 |
| 293 | # via open-clip-torch |
| 294 | genai-perf==0.0.16 |
| 295 | # via -r requirements/test/cuda.in |
| 296 | genson==1.3.0 |
| 297 | # via datamodel-code-generator |
| 298 | google-api-core==2.24.2 |
| 299 | # via |
| 300 | # google-cloud-core |
| 301 | # google-cloud-storage |
| 302 | # opencensus |
| 303 | google-auth==2.40.2 |
| 304 | # via |
| 305 | # google-api-core |
| 306 | # google-cloud-core |
| 307 | # google-cloud-storage |
| 308 | # runai-model-streamer-gcs |
| 309 | google-cloud-core==2.4.3 |
| 310 | # via google-cloud-storage |
| 311 | google-cloud-storage==3.4.0 |
| 312 | # via runai-model-streamer-gcs |
| 313 | google-crc32c==1.7.1 |
| 314 | # via |
| 315 | # google-cloud-storage |
| 316 | # google-resumable-media |
| 317 | google-resumable-media==2.7.2 |
| 318 | # via google-cloud-storage |
| 319 | googleapis-common-protos==1.70.0 |
| 320 | # via |
| 321 | # google-api-core |
| 322 | # opentelemetry-exporter-otlp-proto-grpc |
| 323 | # opentelemetry-exporter-otlp-proto-http |
| 324 | gpt-oss==0.0.9 |
| 325 | # via -r requirements/test/cuda.in |
| 326 | graphql-core==3.2.6 |
| 327 | # via hypothesis-graphql |
| 328 | greenlet==3.2.3 |
| 329 | # via sqlalchemy |
| 330 | grpcio==1.78.0 |
| 331 | # via |
| 332 | # -r requirements/test/cuda.in |
| 333 | # grpcio-reflection |
| 334 | # opentelemetry-exporter-otlp-proto-grpc |
| 335 | # ray |
| 336 | grpcio-reflection==1.78.0 |
| 337 | # via -r requirements/test/cuda.in |
| 338 | h11==0.16.0 |
| 339 | # via |
| 340 | # httpcore |
| 341 | # httpcore2 |
| 342 | # uvicorn |
| 343 | h2==4.4.1 |
| 344 | # via |
| 345 | # -r requirements/test/cuda.in |
| 346 | # httpx |
| 347 | harfile==0.5.0 |
| 348 | # via schemathesis |
| 349 | hf-xet==1.6.0 |
| 350 | # via huggingface-hub |
| 351 | hiredis==3.0.0 |
| 352 | # via tensorizer |
| 353 | hpack==4.2.0 |
| 354 | # via |
| 355 | # -r requirements/test/cuda.in |
| 356 | # h2 |
| 357 | html2text==2025.4.15 |
| 358 | # via gpt-oss |
| 359 | httpcore==1.0.9 |
| 360 | # via httpx |
| 361 | httpcore2==2.12.0 |
| 362 | # via httpx2 |
| 363 | httptools==0.8.0 |
| 364 | # via uvicorn |
| 365 | httpx==0.27.2 |
| 366 | # via |
| 367 | # -r requirements/test/cuda.in |
| 368 | # anthropic |
| 369 | # cohere |
| 370 | # fastapi |
| 371 | # fastapi-cloud-cli |
| 372 | # huggingface-hub |
| 373 | # model-hosting-container-standards |
| 374 | # openai |
| 375 | # perceptron |
| 376 | # schemathesis |
| 377 | httpx2==2.12.0 |
| 378 | # via |
| 379 | # -r requirements/test/cuda.in |
| 380 | # mcp |
| 381 | huggingface-hub==1.31.0 |
| 382 | # via |
| 383 | # -c requirements/common.txt |
| 384 | # -r requirements/test/../common.txt |
| 385 | # accelerate |
| 386 | # datasets |
| 387 | # evaluate |
| 388 | # open-clip-torch |
| 389 | # peft |
| 390 | # segmentation-models-pytorch |
| 391 | # sentence-transformers |
| 392 | # timm |
| 393 | # tokenizers |
| 394 | # transformers |
| 395 | # vocos |
| 396 | humanize==4.11.0 |
| 397 | # via runai-model-streamer |
| 398 | hyperframe==6.1.0 |
| 399 | # via h2 |
| 400 | hypothesis==6.131.0 |
| 401 | # via |
| 402 | # hypothesis-graphql |
| 403 | # hypothesis-jsonschema |
| 404 | # schemathesis |
| 405 | hypothesis-graphql==0.13.0 |
| 406 | # via schemathesis |
| 407 | hypothesis-jsonschema==0.23.1 |
| 408 | # via schemathesis |
| 409 | idna==3.19 |
| 410 | # via |
| 411 | # anyio |
| 412 | # email-validator |
| 413 | # httpx |
| 414 | # httpx2 |
| 415 | # requests |
| 416 | # yarl |
| 417 | ijson==3.5.0 |
| 418 | # via -r requirements/test/../common.txt |
| 419 | imagehash==4.3.2 |
| 420 | # via -r requirements/test/cuda.in |
| 421 | imageio==2.37.0 |
| 422 | # via scikit-image |
| 423 | importlib-metadata==8.7.0 |
| 424 | # via opentelemetry-api |
| 425 | inflect==5.6.2 |
| 426 | # via datamodel-code-generator |
| 427 | iniconfig==2.0.0 |
| 428 | # via pytest |
| 429 | instanttensor==0.1.9 |
| 430 | # via |
| 431 | # -c requirements/cuda.txt |
| 432 | # -r requirements/test/cuda.in |
| 433 | interegular==0.3.3 |
| 434 | # via lm-format-enforcer |
| 435 | isodate==0.7.2 |
| 436 | # via azure-storage-blob |
| 437 | isort==5.13.2 |
| 438 | # via datamodel-code-generator |
| 439 | jinja2==3.1.6 |
| 440 | # via |
| 441 | # datamodel-code-generator |
| 442 | # fastapi |
| 443 | # genai-perf |
| 444 | # gpt-oss |
| 445 | # lm-eval |
| 446 | # torch |
| 447 | jiter==0.15.0 |
| 448 | # via |
| 449 | # anthropic |
| 450 | # openai |
| 451 | jiwer==3.0.5 |
| 452 | # via -r requirements/test/cuda.in |
| 453 | jmespath==1.0.1 |
| 454 | # via |
| 455 | # boto3 |
| 456 | # botocore |
| 457 | # model-hosting-container-standards |
| 458 | joblib==1.4.2 |
| 459 | # via |
| 460 | # librosa |
| 461 | # nltk |
| 462 | # scikit-learn |
| 463 | jsonschema==4.23.0 |
| 464 | # via |
| 465 | # -c requirements/common.txt |
| 466 | # -r requirements/test/../common.txt |
| 467 | # hypothesis-jsonschema |
| 468 | # mcp |
| 469 | # mistral-common |
| 470 | # ray |
| 471 | jsonschema-rs==0.46.5 |
| 472 | # via schemathesis |
| 473 | jsonschema-specifications==2024.10.1 |
| 474 | # via jsonschema |
| 475 | junit-xml==1.9 |
| 476 | # via schemathesis |
| 477 | jupyter-client==8.10.0 |
| 478 | # via gpt-oss |
| 479 | jupyter-core==5.9.1 |
| 480 | # via jupyter-client |
| 481 | kaldi-native-fbank==1.22.3 |
| 482 | # via -r requirements/test/cuda.in |
| 483 | kaleido==0.2.1 |
| 484 | # via genai-perf |
| 485 | kiwisolver==1.4.7 |
| 486 | # via matplotlib |
| 487 | lark==1.2.2 |
| 488 | # via |
| 489 | # -c requirements/common.txt |
| 490 | # -r requirements/test/../common.txt |
| 491 | lazy-loader==0.4 |
| 492 | # via |
| 493 | # librosa |
| 494 | # scikit-image |
| 495 | libnacl==2.1.0 |
| 496 | # via tensorizer |
| 497 | librosa==0.10.2.post1 |
| 498 | # via -r requirements/test/cuda.in |
| 499 | llguidance==1.7.6 |
| 500 | # via |
| 501 | # -c requirements/common.txt |
| 502 | # -r requirements/test/../common.txt |
| 503 | llvmlite==0.47.0 |
| 504 | # via numba |
| 505 | lm-eval==0.4.12 |
| 506 | # via -r requirements/test/cuda.in |
| 507 | lm-format-enforcer==0.11.3 |
| 508 | # via |
| 509 | # -c requirements/common.txt |
| 510 | # -r requirements/test/../common.txt |
| 511 | loguru==0.7.3 |
| 512 | # via compressed-tensors |
| 513 | lxml==6.1.3 |
| 514 | # via |
| 515 | # -r requirements/test/cuda.in |
| 516 | # blobfile |
| 517 | # gpt-oss |
| 518 | # sacrebleu |
| 519 | mako==1.4.3 |
| 520 | # via |
| 521 | # -r requirements/test/cuda.in |
| 522 | # alembic |
| 523 | markdown-it-py==3.0.0 |
| 524 | # via rich |
| 525 | markupsafe==3.0.1 |
| 526 | # via |
| 527 | # jinja2 |
| 528 | # mako |
| 529 | # werkzeug |
| 530 | matplotlib==3.9.2 |
| 531 | # via -r requirements/test/cuda.in |
| 532 | mbstrdecoder==1.1.3 |
| 533 | # via |
| 534 | # dataproperty |
| 535 | # pytablewriter |
| 536 | # typepy |
| 537 | mcp==2.1.1 |
| 538 | # via |
| 539 | # -c requirements/common.txt |
| 540 | # -r requirements/test/../common.txt |
| 541 | mcp-types==2.1.1 |
| 542 | # via mcp |
| 543 | mdurl==0.1.2 |
| 544 | # via markdown-it-py |
| 545 | mistral-common==1.11.6 |
| 546 | # via |
| 547 | # -c requirements/common.txt |
| 548 | # -r requirements/test/../common.txt |
| 549 | # -r requirements/test/cuda.in |
| 550 | model-hosting-container-standards==0.1.16 |
| 551 | # via |
| 552 | # -c requirements/common.txt |
| 553 | # -r requirements/test/../common.txt |
| 554 | more-itertools==10.5.0 |
| 555 | # via lm-eval |
| 556 | mpmath==1.3.0 |
| 557 | # via sympy |
| 558 | msal==1.39.0 |
| 559 | # via |
| 560 | # azure-identity |
| 561 | # msal-extensions |
| 562 | msal-extensions==1.3.1 |
| 563 | # via azure-identity |
| 564 | msgpack==1.2.3 |
| 565 | # via |
| 566 | # -r requirements/test/cuda.in |
| 567 | # librosa |
| 568 | # ray |
| 569 | msgspec==0.21.1 |
| 570 | # via -r requirements/test/../common.txt |
| 571 | mteb==2.8.3 |
| 572 | # via -r requirements/test/cuda.in |
| 573 | multidict==6.1.0 |
| 574 | # via |
| 575 | # aiohttp |
| 576 | # yarl |
| 577 | multiprocess==0.70.16 |
| 578 | # via |
| 579 | # datasets |
| 580 | # evaluate |
| 581 | mypy-extensions==1.0.0 |
| 582 | # via black |
| 583 | networkx==3.2.1 |
| 584 | # via |
| 585 | # scikit-image |
| 586 | # torch |
| 587 | ninja==1.13.0 |
| 588 | # via -r requirements/test/../common.txt |
| 589 | nltk==3.10.3 |
| 590 | # via |
| 591 | # -r requirements/test/cuda.in |
| 592 | # rouge-score |
| 593 | num2words==0.5.14 |
| 594 | # via -r requirements/test/cuda.in |
| 595 | numba==0.65.0 |
| 596 | # via |
| 597 | # -c requirements/cuda.txt |
| 598 | # -r requirements/test/cuda.in |
| 599 | # librosa |
| 600 | numpy==2.2.6 |
| 601 | # via |
| 602 | # -r requirements/test/../common.txt |
| 603 | # accelerate |
| 604 | # albumentations |
| 605 | # bm25s |
| 606 | # contourpy |
| 607 | # cupy-cuda12x |
| 608 | # datasets |
| 609 | # decord |
| 610 | # einx |
| 611 | # encodec |
| 612 | # evaluate |
| 613 | # fastparquet |
| 614 | # genai-perf |
| 615 | # gpt-oss |
| 616 | # imagehash |
| 617 | # imageio |
| 618 | # librosa |
| 619 | # lm-eval |
| 620 | # matplotlib |
| 621 | # mistral-common |
| 622 | # mteb |
| 623 | # numba |
| 624 | # opencv-python-headless |
| 625 | # optuna |
| 626 | # pandas |
| 627 | # patsy |
| 628 | # peft |
| 629 | # perceptron |
| 630 | # pywavelets |
| 631 | # rouge-score |
| 632 | # runai-model-streamer |
| 633 | # sacrebleu |
| 634 | # scikit-image |
| 635 | # scikit-learn |
| 636 | # scipy |
| 637 | # segmentation-models-pytorch |
| 638 | # soxr |
| 639 | # statsmodels |
| 640 | # tensorizer |
| 641 | # tifffile |
| 642 | # torchvision |
| 643 | # transformers |
| 644 | # tritonclient |
| 645 | # vocos |
| 646 | # xgrammar |
| 647 | nvidia-cublas==13.1.1.3 |
| 648 | # via |
| 649 | # cuda-toolkit |
| 650 | # nvidia-cudnn-cu13 |
| 651 | # nvidia-cusolver |
| 652 | nvidia-cuda-cupti==13.0.85 |
| 653 | # via cuda-toolkit |
| 654 | nvidia-cuda-nvrtc==13.0.88 |
| 655 | # via |
| 656 | # cuda-toolkit |
| 657 | # nvidia-cublas |
| 658 | nvidia-cuda-runtime==13.0.96 |
| 659 | # via cuda-toolkit |
| 660 | nvidia-cudnn-cu13==9.20.0.48 |
| 661 | # via torch |
| 662 | nvidia-cufft==12.0.0.61 |
| 663 | # via cuda-toolkit |
| 664 | nvidia-cufile==1.15.1.6 |
| 665 | # via cuda-toolkit |
| 666 | nvidia-curand==10.4.0.35 |
| 667 | # via cuda-toolkit |
| 668 | nvidia-cusolver==12.0.4.66 |
| 669 | # via cuda-toolkit |
| 670 | nvidia-cusparse==12.6.3.3 |
| 671 | # via |
| 672 | # cuda-toolkit |
| 673 | # nvidia-cusolver |
| 674 | nvidia-cusparselt-cu13==0.8.1 |
| 675 | # via torch |
| 676 | nvidia-nccl-cu13==2.29.7 |
| 677 | # via torch |
| 678 | nvidia-nvjitlink==13.0.88 |
| 679 | # via |
| 680 | # cuda-toolkit |
| 681 | # nvidia-cufft |
| 682 | # nvidia-cusolver |
| 683 | # nvidia-cusparse |
| 684 | nvidia-nvshmem-cu13==3.4.5 |
| 685 | # via torch |
| 686 | nvidia-nvtx==13.0.85 |
| 687 | # via cuda-toolkit |
| 688 | open-clip-torch==2.32.0 |
| 689 | # via -r requirements/test/cuda.in |
| 690 | openai==2.44.0 |
| 691 | # via |
| 692 | # -c requirements/common.txt |
| 693 | # -r requirements/test/../common.txt |
| 694 | # gpt-oss |
| 695 | opencensus==0.11.4 |
| 696 | # via ray |
| 697 | opencensus-context==0.1.3 |
| 698 | # via opencensus |
| 699 | opencv-python-headless==4.13.0.90 |
| 700 | # via |
| 701 | # -c requirements/common.txt |
| 702 | # -r requirements/test/../common.txt |
| 703 | # albumentations |
| 704 | # mistral-common |
| 705 | openpyxl==3.1.5 |
| 706 | # via -r requirements/test/cuda.in |
| 707 | opentelemetry-api==1.35.0 |
| 708 | # via |
| 709 | # -c requirements/common.txt |
| 710 | # -r requirements/test/../common.txt |
| 711 | # mcp |
| 712 | # opentelemetry-exporter-otlp-proto-grpc |
| 713 | # opentelemetry-exporter-otlp-proto-http |
| 714 | # opentelemetry-exporter-prometheus |
| 715 | # opentelemetry-sdk |
| 716 | # opentelemetry-semantic-conventions |
| 717 | opentelemetry-exporter-otlp==1.35.0 |
| 718 | # via |
| 719 | # -c requirements/common.txt |
| 720 | # -r requirements/test/../common.txt |
| 721 | opentelemetry-exporter-otlp-proto-common==1.35.0 |
| 722 | # via |
| 723 | # opentelemetry-exporter-otlp-proto-grpc |
| 724 | # opentelemetry-exporter-otlp-proto-http |
| 725 | opentelemetry-exporter-otlp-proto-grpc==1.35.0 |
| 726 | # via opentelemetry-exporter-otlp |
| 727 | opentelemetry-exporter-otlp-proto-http==1.35.0 |
| 728 | # via opentelemetry-exporter-otlp |
| 729 | opentelemetry-exporter-prometheus==0.56b0 |
| 730 | # via ray |
| 731 | opentelemetry-proto==1.35.0 |
| 732 | # via |
| 733 | # opentelemetry-exporter-otlp-proto-common |
| 734 | # opentelemetry-exporter-otlp-proto-grpc |
| 735 | # opentelemetry-exporter-otlp-proto-http |
| 736 | # ray |
| 737 | opentelemetry-sdk==1.35.0 |
| 738 | # via |
| 739 | # -c requirements/common.txt |
| 740 | # -r requirements/test/../common.txt |
| 741 | # opentelemetry-exporter-otlp-proto-grpc |
| 742 | # opentelemetry-exporter-otlp-proto-http |
| 743 | # opentelemetry-exporter-prometheus |
| 744 | # ray |
| 745 | opentelemetry-semantic-conventions==0.56b0 |
| 746 | # via opentelemetry-sdk |
| 747 | opentelemetry-semantic-conventions-ai==0.4.13 |
| 748 | # via |
| 749 | # -c requirements/common.txt |
| 750 | # -r requirements/test/../common.txt |
| 751 | optuna==3.6.1 |
| 752 | # via genai-perf |
| 753 | orjson==3.12.0 |
| 754 | # via |
| 755 | # -r requirements/test/cuda.in |
| 756 | # genai-perf |
| 757 | oss-harmony==0.0.11 |
| 758 | # via |
| 759 | # -c requirements/common.txt |
| 760 | # -r requirements/test/../common.txt |
| 761 | outlines-core==0.2.14 |
| 762 | # via |
| 763 | # -c requirements/common.txt |
| 764 | # -r requirements/test/../common.txt |
| 765 | packaging==24.2 |
| 766 | # via |
| 767 | # accelerate |
| 768 | # black |
| 769 | # datasets |
| 770 | # evaluate |
| 771 | # fastparquet |
| 772 | # huggingface-hub |
| 773 | # lazy-loader |
| 774 | # lm-format-enforcer |
| 775 | # matplotlib |
| 776 | # optuna |
| 777 | # peft |
| 778 | # plotly |
| 779 | # pooch |
| 780 | # pytest |
| 781 | # pytest-rerunfailures |
| 782 | # ray |
| 783 | # scikit-image |
| 784 | # statsmodels |
| 785 | # transformers |
| 786 | # typepy |
| 787 | # virtualenv |
| 788 | pandas==2.2.3 |
| 789 | # via |
| 790 | # datasets |
| 791 | # evaluate |
| 792 | # fastparquet |
| 793 | # genai-perf |
| 794 | # gpt-oss |
| 795 | # statsmodels |
| 796 | partial-json-parser==0.2.1.1.post7 |
| 797 | # via -r requirements/test/../common.txt |
| 798 | pathspec==1.1.1 |
| 799 | # via black |
| 800 | pathvalidate==3.2.1 |
| 801 | # via pytablewriter |
| 802 | patsy==1.0.1 |
| 803 | # via statsmodels |
| 804 | peft==0.19.1 |
| 805 | # via -r requirements/test/cuda.in |
| 806 | perceptron==0.1.4 |
| 807 | # via -r requirements/test/cuda.in |
| 808 | perf-analyzer==0.1.0 |
| 809 | # via genai-perf |
| 810 | pillow==12.3.0 |
| 811 | # via |
| 812 | # -c requirements/common.txt |
| 813 | # -r requirements/test/../common.txt |
| 814 | # genai-perf |
| 815 | # imagehash |
| 816 | # imageio |
| 817 | # matplotlib |
| 818 | # mistral-common |
| 819 | # perceptron |
| 820 | # scikit-image |
| 821 | # segmentation-models-pytorch |
| 822 | # torchvision |
| 823 | platformdirs==4.3.6 |
| 824 | # via |
| 825 | # black |
| 826 | # jupyter-core |
| 827 | # pooch |
| 828 | # virtualenv |
| 829 | plotly==5.24.1 |
| 830 | # via |
| 831 | # -r requirements/test/cuda.in |
| 832 | # genai-perf |
| 833 | pluggy==1.5.0 |
| 834 | # via |
| 835 | # pytest |
| 836 | # pytest-cov |
| 837 | polars==1.29.0 |
| 838 | # via mteb |
| 839 | pooch==1.8.2 |
| 840 | # via librosa |
| 841 | portalocker==2.10.1 |
| 842 | # via sacrebleu |
| 843 | pqdm==0.2.0 |
| 844 | # via -r requirements/test/cuda.in |
| 845 | prometheus-client==0.22.0 |
| 846 | # via |
| 847 | # -c requirements/common.txt |
| 848 | # -r requirements/test/../common.txt |
| 849 | # opentelemetry-exporter-prometheus |
| 850 | # prometheus-fastapi-instrumentator |
| 851 | # ray |
| 852 | prometheus-fastapi-instrumentator==8.0.2 |
| 853 | # via |
| 854 | # -c requirements/common.txt |
| 855 | # -r requirements/test/../common.txt |
| 856 | propcache==0.2.0 |
| 857 | # via |
| 858 | # aiohttp |
| 859 | # yarl |
| 860 | proto-plus==1.26.1 |
| 861 | # via google-api-core |
| 862 | protobuf==6.33.6 |
| 863 | # via |
| 864 | # -c requirements/common.txt |
| 865 | # -r requirements/test/../common.txt |
| 866 | # google-api-core |
| 867 | # googleapis-common-protos |
| 868 | # grpcio-reflection |
| 869 | # opentelemetry-proto |
| 870 | # proto-plus |
| 871 | # ray |
| 872 | # tensorizer |
| 873 | psutil==6.1.0 |
| 874 | # via |
| 875 | # -r requirements/test/../common.txt |
| 876 | # accelerate |
| 877 | # peft |
| 878 | # tensorizer |
| 879 | py==1.11.0 |
| 880 | # via pytest-forked |
| 881 | py-cpuinfo==9.0.0 |
| 882 | # via -r requirements/test/../common.txt |
| 883 | py-spy==0.4.0 |
| 884 | # via ray |
| 885 | pyarrow==25.0.1 |
| 886 | # via |
| 887 | # -r requirements/test/cuda.in |
| 888 | # datasets |
| 889 | # genai-perf |
| 890 | pyasn1==0.6.4 |
| 891 | # via |
| 892 | # -r requirements/test/cuda.in |
| 893 | # pyasn1-modules |
| 894 | # rsa |
| 895 | pyasn1-modules==0.4.2 |
| 896 | # via google-auth |
| 897 | pybase64==1.4.3 |
| 898 | # via -r requirements/test/../common.txt |
| 899 | pycountry==24.6.1 |
| 900 | # via pydantic-extra-types |
| 901 | pycparser==2.22 |
| 902 | # via cffi |
| 903 | pycryptodomex==3.22.0 |
| 904 | # via blobfile |
| 905 | pycxxfilt==0.1.0 |
| 906 | # via torch-abi-audit |
| 907 | pydantic==2.12.0 |
| 908 | # via |
| 909 | # -c requirements/common.txt |
| 910 | # -r requirements/test/../common.txt |
| 911 | # albumentations |
| 912 | # anthropic |
| 913 | # cohere |
| 914 | # compressed-tensors |
| 915 | # datamodel-code-generator |
| 916 | # fastapi |
| 917 | # fastapi-cloud-cli |
| 918 | # gpt-oss |
| 919 | # lm-format-enforcer |
| 920 | # mcp |
| 921 | # mcp-types |
| 922 | # mistral-common |
| 923 | # model-hosting-container-standards |
| 924 | # mteb |
| 925 | # openai |
| 926 | # oss-harmony |
| 927 | # pydantic-extra-types |
| 928 | # pydantic-settings |
| 929 | # ray |
| 930 | # xgrammar |
| 931 | pydantic-core==2.41.1 |
| 932 | # via |
| 933 | # cohere |
| 934 | # pydantic |
| 935 | pydantic-extra-types==2.10.5 |
| 936 | # via |
| 937 | # fastapi |
| 938 | # mistral-common |
| 939 | pydantic-settings==2.14.2 |
| 940 | # via |
| 941 | # -r requirements/test/cuda.in |
| 942 | # fastapi |
| 943 | pygments==2.21.0 |
| 944 | # via |
| 945 | # -r requirements/test/cuda.in |
| 946 | # pytest |
| 947 | # rich |
| 948 | pyjwt==2.15.1 |
| 949 | # via |
| 950 | # -r requirements/test/cuda.in |
| 951 | # mcp |
| 952 | # msal |
| 953 | pyparsing==3.2.0 |
| 954 | # via matplotlib |
| 955 | pyrate-limiter==4.4.0 |
| 956 | # via schemathesis |
| 957 | pystemmer==3.0.0 |
| 958 | # via mteb |
| 959 | pytablewriter==1.2.0 |
| 960 | # via lm-eval |
| 961 | pytest==9.1.0 |
| 962 | # via |
| 963 | # -r requirements/test/cuda.in |
| 964 | # buildkite-test-collector |
| 965 | # genai-perf |
| 966 | # pytest-asyncio |
| 967 | # pytest-cov |
| 968 | # pytest-forked |
| 969 | # pytest-mock |
| 970 | # pytest-rerunfailures |
| 971 | # pytest-shard |
| 972 | # pytest-timeout |
| 973 | # schemathesis |
| 974 | pytest-asyncio==1.4.0 |
| 975 | # via -r requirements/test/cuda.in |
| 976 | pytest-cov==6.3.0 |
| 977 | # via -r requirements/test/cuda.in |
| 978 | pytest-forked==1.6.0 |
| 979 | # via -r requirements/test/cuda.in |
| 980 | pytest-mock==3.14.0 |
| 981 | # via genai-perf |
| 982 | pytest-rerunfailures==14.0 |
| 983 | # via -r requirements/test/cuda.in |
| 984 | pytest-shard==0.1.2 |
| 985 | # via -r requirements/test/cuda.in |
| 986 | pytest-timeout==2.3.1 |
| 987 | # via -r requirements/test/cuda.in |
| 988 | python-dateutil==2.9.0.post0 |
| 989 | # via |
| 990 | # botocore |
| 991 | # jupyter-client |
| 992 | # matplotlib |
| 993 | # pandas |
| 994 | # typepy |
| 995 | python-discovery==1.6.1 |
| 996 | # via virtualenv |
| 997 | python-dotenv==1.2.2 |
| 998 | # via |
| 999 | # pydantic-settings |
| 1000 | # uvicorn |
| 1001 | python-json-logger==4.1.0 |
| 1002 | # via -r requirements/test/../common.txt |
| 1003 | python-multipart==0.0.32 |
| 1004 | # via |
| 1005 | # -r requirements/test/cuda.in |
| 1006 | # fastapi |
| 1007 | # mcp |
| 1008 | python-rapidjson==1.20 |
| 1009 | # via tritonclient |
| 1010 | pytokens==0.4.1 |
| 1011 | # via black |
| 1012 | pytrec-eval-terrier==0.5.7 |
| 1013 | # via mteb |
| 1014 | pytz==2024.2 |
| 1015 | # via |
| 1016 | # pandas |
| 1017 | # typepy |
| 1018 | pywavelets==1.9.0 |
| 1019 | # via imagehash |
| 1020 | pyyaml==6.0.2 |
| 1021 | # via |
| 1022 | # -r requirements/test/../common.txt |
| 1023 | # accelerate |
| 1024 | # albumentations |
| 1025 | # datamodel-code-generator |
| 1026 | # datasets |
| 1027 | # genai-perf |
| 1028 | # huggingface-hub |
| 1029 | # lm-format-enforcer |
| 1030 | # optuna |
| 1031 | # peft |
| 1032 | # ray |
| 1033 | # responses |
| 1034 | # schemathesis |
| 1035 | # timm |
| 1036 | # transformers |
| 1037 | # uvicorn |
| 1038 | # vocos |
| 1039 | pyzmq==27.1.0 |
| 1040 | # via |
| 1041 | # -c requirements/common.txt |
| 1042 | # -r requirements/test/../common.txt |
| 1043 | # jupyter-client |
| 1044 | rapidfuzz==3.12.1 |
| 1045 | # via jiwer |
| 1046 | ray==2.56.1 |
| 1047 | # via -r requirements/test/cuda.in |
| 1048 | redis==5.2.0 |
| 1049 | # via tensorizer |
| 1050 | referencing==0.35.1 |
| 1051 | # via |
| 1052 | # jsonschema |
| 1053 | # jsonschema-specifications |
| 1054 | regex==2026.2.28 |
| 1055 | # via |
| 1056 | # -r requirements/test/../common.txt |
| 1057 | # nltk |
| 1058 | # open-clip-torch |
| 1059 | # sacrebleu |
| 1060 | # tiktoken |
| 1061 | # transformers |
| 1062 | requests==2.34.2 |
| 1063 | # via |
| 1064 | # -c requirements/common.txt |
| 1065 | # -r requirements/test/../common.txt |
| 1066 | # azure-core |
| 1067 | # buildkite-test-collector |
| 1068 | # cohere |
| 1069 | # datasets |
| 1070 | # docker |
| 1071 | # evaluate |
| 1072 | # google-api-core |
| 1073 | # google-cloud-storage |
| 1074 | # gpt-oss |
| 1075 | # lm-eval |
| 1076 | # mistral-common |
| 1077 | # msal |
| 1078 | # mteb |
| 1079 | # opentelemetry-exporter-otlp-proto-http |
| 1080 | # pooch |
| 1081 | # ray |
| 1082 | # responses |
| 1083 | # schemathesis |
| 1084 | # starlette-testclient |
| 1085 | # tiktoken |
| 1086 | responses==0.25.3 |
| 1087 | # via genai-perf |
| 1088 | rich==13.9.4 |
| 1089 | # via |
| 1090 | # genai-perf |
| 1091 | # mteb |
| 1092 | # perceptron |
| 1093 | # rich-toolkit |
| 1094 | # schemathesis |
| 1095 | # typer |
| 1096 | rich-toolkit==0.20.1 |
| 1097 | # via |
| 1098 | # fastapi-cli |
| 1099 | # fastapi-cloud-cli |
| 1100 | rignore==0.7.6 |
| 1101 | # via fastapi-cloud-cli |
| 1102 | rouge-score==0.1.2 |
| 1103 | # via lm-eval |
| 1104 | rpds-py==0.20.1 |
| 1105 | # via |
| 1106 | # jsonschema |
| 1107 | # referencing |
| 1108 | rsa==4.9.1 |
| 1109 | # via google-auth |
| 1110 | runai-model-streamer==0.15.7 |
| 1111 | # via -r requirements/test/cuda.in |
| 1112 | runai-model-streamer-azure==0.15.7 |
| 1113 | # via runai-model-streamer |
| 1114 | runai-model-streamer-gcs==0.15.7 |
| 1115 | # via runai-model-streamer |
| 1116 | runai-model-streamer-s3==0.15.7 |
| 1117 | # via runai-model-streamer |
| 1118 | s3transfer==0.10.3 |
| 1119 | # via boto3 |
| 1120 | sacrebleu==2.4.3 |
| 1121 | # via lm-eval |
| 1122 | safetensors==0.8.0 |
| 1123 | # via |
| 1124 | # -c requirements/common.txt |
| 1125 | # -r requirements/test/../common.txt |
| 1126 | # accelerate |
| 1127 | # open-clip-torch |
| 1128 | # peft |
| 1129 | # segmentation-models-pytorch |
| 1130 | # timm |
| 1131 | # transformers |
| 1132 | schemathesis==4.21.6 |
| 1133 | # via -r requirements/test/cuda.in |
| 1134 | scikit-image==0.25.2 |
| 1135 | # via albumentations |
| 1136 | scikit-learn==1.5.2 |
| 1137 | # via |
| 1138 | # albumentations |
| 1139 | # librosa |
| 1140 | # lm-eval |
| 1141 | # mteb |
| 1142 | # sentence-transformers |
| 1143 | scipy==1.13.1 |
| 1144 | # via |
| 1145 | # albumentations |
| 1146 | # bm25s |
| 1147 | # imagehash |
| 1148 | # librosa |
| 1149 | # mteb |
| 1150 | # scikit-image |
| 1151 | # scikit-learn |
| 1152 | # sentence-transformers |
| 1153 | # statsmodels |
| 1154 | # vocos |
| 1155 | segmentation-models-pytorch==0.5.0 |
| 1156 | # via -r requirements/test/cuda.in |
| 1157 | sentence-transformers==5.2.0 |
| 1158 | # via |
| 1159 | # -r requirements/test/cuda.in |
| 1160 | # mteb |
| 1161 | sentencepiece==0.2.1 |
| 1162 | # via -r requirements/test/../common.txt |
| 1163 | sentry-sdk==2.63.0 |
| 1164 | # via fastapi-cloud-cli |
| 1165 | setproctitle==1.3.7 |
| 1166 | # via -r requirements/test/../common.txt |
| 1167 | setuptools==80.10.2 |
| 1168 | # via |
| 1169 | # -c requirements/common.txt |
| 1170 | # -r requirements/test/../common.txt |
| 1171 | # model-hosting-container-standards |
| 1172 | # pytablewriter |
| 1173 | # torch |
| 1174 | shellingham==1.5.4 |
| 1175 | # via |
| 1176 | # perceptron |
| 1177 | # typer |
| 1178 | six==1.16.0 |
| 1179 | # via |
| 1180 | # -c requirements/common.txt |
| 1181 | # -r requirements/test/../common.txt |
| 1182 | # junit-xml |
| 1183 | # opencensus |
| 1184 | # python-dateutil |
| 1185 | # rouge-score |
| 1186 | smart-open==7.1.0 |
| 1187 | # via ray |
| 1188 | sniffio==1.3.1 |
| 1189 | # via |
| 1190 | # anthropic |
| 1191 | # httpx |
| 1192 | # openai |
| 1193 | sortedcontainers==2.4.0 |
| 1194 | # via hypothesis |
| 1195 | soundfile==0.12.1 |
| 1196 | # via |
| 1197 | # -r requirements/test/cuda.in |
| 1198 | # genai-perf |
| 1199 | # librosa |
| 1200 | # mistral-common |
| 1201 | soxr==0.5.0.post1 |
| 1202 | # via |
| 1203 | # librosa |
| 1204 | # mistral-common |
| 1205 | sqlalchemy==2.0.41 |
| 1206 | # via |
| 1207 | # alembic |
| 1208 | # optuna |
| 1209 | sqlitedict==2.1.0 |
| 1210 | # via lm-eval |
| 1211 | sse-starlette==3.4.5 |
| 1212 | # via mcp |
| 1213 | starlette==1.3.1 |
| 1214 | # via |
| 1215 | # -c requirements/common.txt |
| 1216 | # -r requirements/test/../common.txt |
| 1217 | # fastapi |
| 1218 | # mcp |
| 1219 | # model-hosting-container-standards |
| 1220 | # prometheus-fastapi-instrumentator |
| 1221 | # sse-starlette |
| 1222 | # starlette-testclient |
| 1223 | starlette-testclient==0.4.1 |
| 1224 | # via schemathesis |
| 1225 | statsmodels==0.14.4 |
| 1226 | # via genai-perf |
| 1227 | structlog==26.1.0 |
| 1228 | # via gpt-oss |
| 1229 | supervisor==4.3.0 |
| 1230 | # via model-hosting-container-standards |
| 1231 | sympy==1.13.3 |
| 1232 | # via |
| 1233 | # einx |
| 1234 | # torch |
| 1235 | tabledata==1.3.3 |
| 1236 | # via pytablewriter |
| 1237 | tabulate==0.9.0 |
| 1238 | # via sacrebleu |
| 1239 | tblib==3.1.0 |
| 1240 | # via -r requirements/test/cuda.in |
| 1241 | tcolorpy==0.1.6 |
| 1242 | # via pytablewriter |
| 1243 | tenacity==9.1.2 |
| 1244 | # via |
| 1245 | # gpt-oss |
| 1246 | # lm-eval |
| 1247 | # plotly |
| 1248 | # schemathesis |
| 1249 | tensorizer==2.10.1 |
| 1250 | # via -r requirements/test/cuda.in |
| 1251 | termcolor==3.3.0 |
| 1252 | # via gpt-oss |
| 1253 | threadpoolctl==3.5.0 |
| 1254 | # via scikit-learn |
| 1255 | tifffile==2025.3.30 |
| 1256 | # via scikit-image |
| 1257 | tiktoken==0.12.0 |
| 1258 | # via |
| 1259 | # -c requirements/common.txt |
| 1260 | # -r requirements/test/../common.txt |
| 1261 | # gpt-oss |
| 1262 | # lm-eval |
| 1263 | # mistral-common |
| 1264 | timm==1.0.17 |
| 1265 | # via |
| 1266 | # -r requirements/test/cuda.in |
| 1267 | # open-clip-torch |
| 1268 | # segmentation-models-pytorch |
| 1269 | tokenizers==0.23.1 |
| 1270 | # via |
| 1271 | # -c requirements/common.txt |
| 1272 | # -r requirements/test/../common.txt |
| 1273 | # cohere |
| 1274 | # transformers |
| 1275 | torch==2.13.0+cu130 |
| 1276 | # via |
| 1277 | # -c requirements/cuda.txt |
| 1278 | # -r requirements/test/cuda.in |
| 1279 | # accelerate |
| 1280 | # compressed-tensors |
| 1281 | # encodec |
| 1282 | # instanttensor |
| 1283 | # mteb |
| 1284 | # open-clip-torch |
| 1285 | # peft |
| 1286 | # runai-model-streamer |
| 1287 | # segmentation-models-pytorch |
| 1288 | # sentence-transformers |
| 1289 | # tensorizer |
| 1290 | # timm |
| 1291 | # torchvision |
| 1292 | # vector-quantize-pytorch |
| 1293 | # vocos |
| 1294 | # xgrammar |
| 1295 | torch-abi-audit==0.0.1 |
| 1296 | # via -r requirements/test/cuda.in |
| 1297 | torchaudio==2.11.0+cu130 |
| 1298 | # via |
| 1299 | # -c requirements/cuda.txt |
| 1300 | # -r requirements/test/cuda.in |
| 1301 | # encodec |
| 1302 | # vocos |
| 1303 | torchcodec==0.14.0+cu130 |
| 1304 | # via |
| 1305 | # -c requirements/cuda.txt |
| 1306 | # -r requirements/test/cuda.in |
| 1307 | torchvision==0.28.0+cu130 |
| 1308 | # via |
| 1309 | # -c requirements/cuda.txt |
| 1310 | # -r requirements/test/cuda.in |
| 1311 | # open-clip-torch |
| 1312 | # segmentation-models-pytorch |
| 1313 | # timm |
| 1314 | tornado==6.5.10 |
| 1315 | # via jupyter-client |
| 1316 | tqdm==4.67.3 |
| 1317 | # via |
| 1318 | # -r requirements/test/../common.txt |
| 1319 | # datasets |
| 1320 | # evaluate |
| 1321 | # gpt-oss |
| 1322 | # huggingface-hub |
| 1323 | # lm-eval |
| 1324 | # mteb |
| 1325 | # nltk |
| 1326 | # open-clip-torch |
| 1327 | # openai |
| 1328 | # optuna |
| 1329 | # peft |
| 1330 | # pqdm |
| 1331 | # segmentation-models-pytorch |
| 1332 | # sentence-transformers |
| 1333 | # transformers |
| 1334 | traitlets==5.16.1 |
| 1335 | # via |
| 1336 | # jupyter-client |
| 1337 | # jupyter-core |
| 1338 | transformers==5.17.0 |
| 1339 | # via |
| 1340 | # -c requirements/common.txt |
| 1341 | # -r requirements/test/../common.txt |
| 1342 | # -r requirements/test/cuda.in |
| 1343 | # compressed-tensors |
| 1344 | # genai-perf |
| 1345 | # peft |
| 1346 | # sentence-transformers |
| 1347 | # transformers-stream-generator |
| 1348 | # xgrammar |
| 1349 | transformers-stream-generator==0.0.5 |
| 1350 | # via -r requirements/test/cuda.in |
| 1351 | triton==3.7.1 |
| 1352 | # via |
| 1353 | # torch |
| 1354 | # xgrammar |
| 1355 | tritonclient==2.64.0 |
| 1356 | # via -r requirements/test/cuda.in |
| 1357 | truststore==0.10.4 |
| 1358 | # via |
| 1359 | # httpcore2 |
| 1360 | # httpx2 |
| 1361 | typepy==1.3.2 |
| 1362 | # via |
| 1363 | # dataproperty |
| 1364 | # pytablewriter |
| 1365 | # tabledata |
| 1366 | typer==0.26.8 |
| 1367 | # via |
| 1368 | # fastapi-cli |
| 1369 | # fastapi-cloud-cli |
| 1370 | # fastsafetensors |
| 1371 | # perceptron |
| 1372 | # transformers |
| 1373 | types-requests==2.33.0.20260712 |
| 1374 | # via cohere |
| 1375 | typing-extensions==4.15.0 |
| 1376 | # via |
| 1377 | # -c requirements/common.txt |
| 1378 | # -r requirements/test/../common.txt |
| 1379 | # aiohttp |
| 1380 | # aiosignal |
| 1381 | # albumentations |
| 1382 | # alembic |
| 1383 | # anthropic |
| 1384 | # anyio |
| 1385 | # apache-tvm-ffi |
| 1386 | # azure-core |
| 1387 | # azure-identity |
| 1388 | # azure-storage-blob |
| 1389 | # chz |
| 1390 | # cohere |
| 1391 | # fastapi |
| 1392 | # grpcio |
| 1393 | # httpx2 |
| 1394 | # huggingface-hub |
| 1395 | # jupyter-client |
| 1396 | # librosa |
| 1397 | # lm-eval |
| 1398 | # mcp |
| 1399 | # mcp-types |
| 1400 | # mistral-common |
| 1401 | # mteb |
| 1402 | # openai |
| 1403 | # opentelemetry-api |
| 1404 | # opentelemetry-exporter-otlp-proto-grpc |
| 1405 | # opentelemetry-exporter-otlp-proto-http |
| 1406 | # opentelemetry-sdk |
| 1407 | # opentelemetry-semantic-conventions |
| 1408 | # pqdm |
| 1409 | # pydantic |
| 1410 | # pydantic-core |
| 1411 | # pydantic-extra-types |
| 1412 | # pytest-asyncio |
| 1413 | # rich-toolkit |
| 1414 | # schemathesis |
| 1415 | # sentence-transformers |
| 1416 | # sqlalchemy |
| 1417 | # starlette |
| 1418 | # torch |
| 1419 | # typing-inspection |
| 1420 | # xgrammar |
| 1421 | typing-inspection==0.4.2 |
| 1422 | # via |
| 1423 | # fastapi |
| 1424 | # mcp |
| 1425 | # pydantic |
| 1426 | # pydantic-settings |
| 1427 | tzdata==2024.2 |
| 1428 | # via pandas |
| 1429 | urllib3==2.8.0 |
| 1430 | # via |
| 1431 | # -r requirements/test/cuda.in |
| 1432 | # blobfile |
| 1433 | # botocore |
| 1434 | # docker |
| 1435 | # requests |
| 1436 | # responses |
| 1437 | # sentry-sdk |
| 1438 | # tritonclient |
| 1439 | # types-requests |
| 1440 | uvicorn==0.35.0 |
| 1441 | # via |
| 1442 | # fastapi |
| 1443 | # fastapi-cli |
| 1444 | # fastapi-cloud-cli |
| 1445 | # gpt-oss |
| 1446 | # mcp |
| 1447 | uvloop==0.22.1 |
| 1448 | # via uvicorn |
| 1449 | vector-quantize-pytorch==1.21.2 |
| 1450 | # via -r requirements/test/cuda.in |
| 1451 | virtualenv==21.14.0 |
| 1452 | # via |
| 1453 | # -r requirements/test/cuda.in |
| 1454 | # ray |
| 1455 | vocos==0.1.0 |
| 1456 | # via -r requirements/test/cuda.in |
| 1457 | watchfiles==1.2.0 |
| 1458 | # via |
| 1459 | # -r requirements/test/../common.txt |
| 1460 | # uvicorn |
| 1461 | wcwidth==0.2.13 |
| 1462 | # via ftfy |
| 1463 | websockets==16.0 |
| 1464 | # via uvicorn |
| 1465 | werkzeug==3.1.9 |
| 1466 | # via |
| 1467 | # -r requirements/test/cuda.in |
| 1468 | # schemathesis |
| 1469 | word2number==1.1 |
| 1470 | # via lm-eval |
| 1471 | wrapt==1.17.2 |
| 1472 | # via smart-open |
| 1473 | xgrammar==0.2.8 |
| 1474 | # via |
| 1475 | # -c requirements/common.txt |
| 1476 | # -r requirements/test/../common.txt |
| 1477 | xxhash==3.5.0 |
| 1478 | # via |
| 1479 | # datasets |
| 1480 | # evaluate |
| 1481 | yarl==1.17.1 |
| 1482 | # via aiohttp |
| 1483 | zipp==3.23.0 |
| 1484 | # via importlib-metadata |