test.txt 12.6 KB
Newer Older
1
# This file was autogenerated by uv via the following command:
2
#    uv pip compile requirements/test.in -o requirements/test.txt
3
4
5
6
7
8
9
10
absl-py==2.1.0
    # via rouge-score
accelerate==1.0.1
    # via
    #   lm-eval
    #   peft
aiohappyeyeballs==2.4.3
    # via aiohttp
11
aiohttp==3.10.11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
    # via
    #   datasets
    #   fsspec
    #   lm-eval
aiosignal==1.3.1
    # via
    #   aiohttp
    #   ray
annotated-types==0.7.0
    # via pydantic
anyio==4.6.2.post1
    # via httpx
argcomplete==3.5.1
    # via datamodel-code-generator
attrs==24.2.0
    # via
    #   aiohttp
    #   jsonlines
    #   jsonschema
    #   referencing
audioread==3.0.1
    # via librosa
34
awscli==1.35.23
35
    # via -r requirements/test.in
Michael Goin's avatar
Michael Goin committed
36
bitsandbytes==0.45.3
37
    # via -r requirements/test.in
38
39
black==24.10.0
    # via datamodel-code-generator
40
boto3==1.35.57
41
    # via tensorizer
42
botocore==1.35.57
43
44
45
46
    # via
    #   awscli
    #   boto3
    #   s3transfer
47
48
bounded-pool-executor==0.0.3
    # via pqdm
49
buildkite-test-collector==0.1.9
50
    # via -r requirements/test.in
51
52
53
54
55
56
57
58
59
60
61
62
63
64
certifi==2024.8.30
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==1.17.1
    # via soundfile
chardet==5.2.0
    # via mbstrdecoder
charset-normalizer==3.4.0
    # via requests
click==8.1.7
    # via
    #   black
65
    #   jiwer
66
67
68
69
70
71
72
73
74
    #   nltk
    #   ray
colorama==0.4.6
    # via
    #   awscli
    #   sacrebleu
    #   tqdm-multiprocess
contourpy==1.3.0
    # via matplotlib
75
76
cramjam==2.9.0
    # via fastparquet
77
78
79
80
cupy-cuda12x==13.3.0
    # via ray
cycler==0.12.1
    # via matplotlib
81
datamodel-code-generator==0.26.3
82
    # via -r requirements/test.in
83
84
85
86
87
88
89
90
91
92
dataproperty==1.0.1
    # via
    #   pytablewriter
    #   tabledata
datasets==3.0.2
    # via
    #   evaluate
    #   lm-eval
decorator==5.1.1
    # via librosa
93
decord==0.6.0
94
    # via -r requirements/test.in
95
96
97
98
99
100
101
102
103
104
105
dill==0.3.8
    # via
    #   datasets
    #   evaluate
    #   lm-eval
    #   multiprocess
dnspython==2.7.0
    # via email-validator
docutils==0.16
    # via awscli
einops==0.8.0
106
    # via
107
    #   -r requirements/test.in
108
109
110
111
112
    #   encodec
    #   vector-quantize-pytorch
    #   vocos
einx==0.3.0
    # via vector-quantize-pytorch
113
114
email-validator==2.2.0
    # via pydantic
115
116
encodec==0.1.1
    # via vocos
117
118
evaluate==0.4.3
    # via lm-eval
119
120
fastparquet==2024.11.0
    # via genai-perf
121
122
123
124
125
126
127
128
129
130
131
fastrlock==0.8.2
    # via cupy-cuda12x
filelock==3.16.1
    # via
    #   datasets
    #   huggingface-hub
    #   ray
    #   torch
    #   transformers
fonttools==4.54.1
    # via matplotlib
132
133
frozendict==2.4.6
    # via einx
134
135
136
137
138
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
    #   ray
139
fsspec==2024.9.0
140
141
142
    # via
    #   datasets
    #   evaluate
143
    #   fastparquet
144
145
    #   huggingface-hub
    #   torch
146
genai-perf==0.0.8
147
    # via -r requirements/test.in
148
149
150
151
152
153
154
155
156
genson==1.3.0
    # via datamodel-code-generator
h11==0.14.0
    # via httpcore
hiredis==3.0.0
    # via tensorizer
httpcore==1.0.6
    # via httpx
httpx==0.27.2
157
    # via -r requirements/test.in
158
159
160
161
162
163
164
165
166
167
huggingface-hub==0.26.2
    # via
    #   accelerate
    #   datasets
    #   evaluate
    #   peft
    #   sentence-transformers
    #   timm
    #   tokenizers
    #   transformers
168
    #   vocos
169
170
humanize==4.11.0
    # via runai-model-streamer
171
172
173
174
175
176
177
178
179
180
181
182
183
idna==3.10
    # via
    #   anyio
    #   email-validator
    #   httpx
    #   requests
    #   yarl
inflect==5.6.2
    # via datamodel-code-generator
iniconfig==2.0.0
    # via pytest
isort==5.13.2
    # via datamodel-code-generator
184
jinja2==3.1.6
185
186
187
    # via
    #   datamodel-code-generator
    #   torch
188
jiwer==3.0.5
189
    # via -r requirements/test.in
190
191
192
193
194
195
196
197
198
199
200
201
jmespath==1.0.1
    # via
    #   boto3
    #   botocore
joblib==1.4.2
    # via
    #   librosa
    #   nltk
    #   scikit-learn
jsonlines==4.0.0
    # via lm-eval
jsonschema==4.23.0
202
203
204
    # via
    #   mistral-common
    #   ray
205
206
jsonschema-specifications==2024.10.1
    # via jsonschema
207
208
kaleido==0.2.1
    # via genai-perf
209
210
211
212
213
214
215
kiwisolver==1.4.7
    # via matplotlib
lazy-loader==0.4
    # via librosa
libnacl==2.1.0
    # via tensorizer
librosa==0.10.2.post1
216
    # via -r requirements/test.in
217
218
llvmlite==0.43.0
    # via numba
219
lm-eval==0.4.4
220
    # via -r requirements/test.in
221
222
lxml==5.3.0
    # via sacrebleu
223
224
markdown-it-py==3.0.0
    # via rich
225
226
227
markupsafe==3.0.2
    # via jinja2
matplotlib==3.9.2
228
    # via -r requirements/test.in
229
230
231
232
233
mbstrdecoder==1.1.3
    # via
    #   dataproperty
    #   pytablewriter
    #   typepy
234
235
mdurl==0.1.2
    # via markdown-it-py
236
mistral-common==1.5.1
237
    # via -r requirements/test.in
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
more-itertools==10.5.0
    # via lm-eval
mpmath==1.3.0
    # via sympy
msgpack==1.1.0
    # via
    #   librosa
    #   ray
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via
    #   datasets
    #   evaluate
mypy-extensions==1.0.0
    # via black
networkx==3.2.1
    # via torch
nltk==3.9.1
    # via rouge-score
numba==0.60.0
    # via librosa
numexpr==2.10.1
    # via lm-eval
numpy==1.26.4
    # via
266
    #   -r requirements/test.in
267
268
269
270
271
    #   accelerate
    #   bitsandbytes
    #   contourpy
    #   cupy-cuda12x
    #   datasets
272
    #   decord
273
274
    #   einx
    #   encodec
275
    #   evaluate
276
277
    #   fastparquet
    #   genai-perf
278
279
    #   librosa
    #   matplotlib
280
    #   mistral-common
281
282
    #   numba
    #   numexpr
283
    #   opencv-python-headless
284
    #   pandas
285
    #   patsy
286
287
    #   peft
    #   rouge-score
288
    #   runai-model-streamer
289
290
291
292
    #   sacrebleu
    #   scikit-learn
    #   scipy
    #   soxr
293
    #   statsmodels
294
295
296
    #   tensorizer
    #   torchvision
    #   transformers
297
    #   tritonclient
298
    #   vocos
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
nvidia-cublas-cu12==12.4.5.8
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.4.127
    # via torch
nvidia-cuda-nvrtc-cu12==12.4.127
    # via torch
nvidia-cuda-runtime-cu12==12.4.127
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.2.1.3
    # via torch
nvidia-curand-cu12==10.3.5.147
    # via torch
nvidia-cusolver-cu12==11.6.1.9
    # via torch
nvidia-cusparse-cu12==12.3.1.170
    # via
    #   nvidia-cusolver-cu12
    #   torch
Michael Goin's avatar
Michael Goin committed
322
323
nvidia-cusparselt-cu12==0.6.2
    # via torch
324
325
326
327
328
329
330
331
332
nvidia-nccl-cu12==2.21.5
    # via torch
nvidia-nvjitlink-cu12==12.4.127
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.4.127
    # via torch
333
334
opencv-python-headless==4.10.0.84
    # via mistral-common
335
336
337
338
339
340
341
packaging==24.1
    # via
    #   accelerate
    #   black
    #   datamodel-code-generator
    #   datasets
    #   evaluate
342
    #   fastparquet
343
344
345
346
    #   huggingface-hub
    #   lazy-loader
    #   matplotlib
    #   peft
347
    #   plotly
348
349
350
351
    #   pooch
    #   pytest
    #   pytest-rerunfailures
    #   ray
352
    #   statsmodels
353
354
355
356
357
358
    #   transformers
    #   typepy
pandas==2.2.3
    # via
    #   datasets
    #   evaluate
359
360
361
    #   fastparquet
    #   genai-perf
    #   statsmodels
362
363
364
365
pathspec==0.12.1
    # via black
pathvalidate==3.2.1
    # via pytablewriter
366
367
patsy==1.0.1
    # via statsmodels
368
369
peft==0.13.2
    # via
370
    #   -r requirements/test.in
371
    #   lm-eval
372
pillow==10.4.0
373
    # via
374
    #   genai-perf
375
    #   matplotlib
376
    #   mistral-common
377
378
379
380
381
382
    #   sentence-transformers
    #   torchvision
platformdirs==4.3.6
    # via
    #   black
    #   pooch
383
384
plotly==5.24.1
    # via genai-perf
385
386
387
388
389
390
pluggy==1.5.0
    # via pytest
pooch==1.8.2
    # via librosa
portalocker==2.10.1
    # via sacrebleu
391
pqdm==0.2.0
392
    # via -r requirements/test.in
393
394
395
396
397
398
399
400
401
402
403
404
405
406
propcache==0.2.0
    # via yarl
protobuf==5.28.3
    # via
    #   ray
    #   tensorizer
psutil==6.1.0
    # via
    #   accelerate
    #   peft
    #   tensorizer
py==1.11.0
    # via pytest-forked
pyarrow==18.0.0
407
408
409
    # via
    #   datasets
    #   genai-perf
410
411
412
413
414
415
pyasn1==0.6.1
    # via rsa
pybind11==2.13.6
    # via lm-eval
pycparser==2.22
    # via cffi
416
pydantic==2.9.2
417
418
419
    # via
    #   datamodel-code-generator
    #   mistral-common
420
421
pydantic-core==2.23.4
    # via pydantic
422
423
pygments==2.18.0
    # via rich
424
425
426
427
428
429
pyparsing==3.2.0
    # via matplotlib
pytablewriter==1.2.0
    # via lm-eval
pytest==8.3.3
    # via
430
    #   -r requirements/test.in
431
    #   buildkite-test-collector
432
    #   genai-perf
433
434
    #   pytest-asyncio
    #   pytest-forked
435
    #   pytest-mock
436
437
438
    #   pytest-rerunfailures
    #   pytest-shard
pytest-asyncio==0.24.0
439
    # via -r requirements/test.in
440
pytest-forked==1.6.0
441
    # via -r requirements/test.in
442
443
pytest-mock==3.14.0
    # via genai-perf
444
pytest-rerunfailures==14.0
445
    # via -r requirements/test.in
446
pytest-shard==0.1.2
447
    # via -r requirements/test.in
448
449
450
451
452
453
python-dateutil==2.9.0.post0
    # via
    #   botocore
    #   matplotlib
    #   pandas
    #   typepy
454
455
python-rapidjson==1.20
    # via tritonclient
456
457
458
459
460
461
462
463
464
465
pytz==2024.2
    # via
    #   pandas
    #   typepy
pyyaml==6.0.2
    # via
    #   accelerate
    #   awscli
    #   datamodel-code-generator
    #   datasets
466
    #   genai-perf
467
468
469
    #   huggingface-hub
    #   peft
    #   ray
470
    #   responses
471
472
    #   timm
    #   transformers
473
    #   vocos
474
475
rapidfuzz==3.12.1
    # via jiwer
Rui Qiao's avatar
Rui Qiao committed
476
ray==2.43.0
477
    # via -r requirements/test.in
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
redis==5.2.0
    # via tensorizer
referencing==0.35.1
    # via
    #   jsonschema
    #   jsonschema-specifications
regex==2024.9.11
    # via
    #   nltk
    #   sacrebleu
    #   tiktoken
    #   transformers
requests==2.32.3
    # via
    #   buildkite-test-collector
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   lm-eval
497
    #   mistral-common
498
499
    #   pooch
    #   ray
500
    #   responses
501
502
    #   tiktoken
    #   transformers
503
504
505
506
responses==0.25.3
    # via genai-perf
rich==13.9.4
    # via genai-perf
507
508
rouge-score==0.1.2
    # via lm-eval
509
rpds-py==0.20.1
510
511
512
513
514
    # via
    #   jsonschema
    #   referencing
rsa==4.7.2
    # via awscli
515
runai-model-streamer==0.11.0
516
    # via -r requirements/test.in
517
runai-model-streamer-s3==0.11.0
518
    # via -r requirements/test.in
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
s3transfer==0.10.3
    # via
    #   awscli
    #   boto3
sacrebleu==2.4.3
    # via lm-eval
safetensors==0.4.5
    # via
    #   accelerate
    #   peft
    #   timm
    #   transformers
scikit-learn==1.5.2
    # via
    #   librosa
    #   lm-eval
    #   sentence-transformers
scipy==1.13.1
    # via
    #   librosa
    #   scikit-learn
    #   sentence-transformers
541
    #   statsmodels
542
    #   vocos
543
sentence-transformers==3.2.1
544
    # via -r requirements/test.in
545
546
sentencepiece==0.2.0
    # via mistral-common
547
548
549
550
setuptools==75.8.0
    # via
    #   pytablewriter
    #   torch
551
552
553
554
555
556
557
558
559
560
six==1.16.0
    # via
    #   python-dateutil
    #   rouge-score
sniffio==1.3.1
    # via
    #   anyio
    #   httpx
soundfile==0.12.1
    # via
561
    #   -r requirements/test.in
562
563
564
565
566
    #   librosa
soxr==0.5.0.post1
    # via librosa
sqlitedict==2.1.0
    # via lm-eval
567
568
statsmodels==0.14.4
    # via genai-perf
569
sympy==1.13.1
570
571
572
    # via
    #   einx
    #   torch
573
574
575
576
577
578
579
tabledata==1.3.3
    # via pytablewriter
tabulate==0.9.0
    # via sacrebleu
tcolorpy==0.1.6
    # via pytablewriter
tenacity==9.0.0
580
581
582
    # via
    #   lm-eval
    #   plotly
583
tensorizer==2.9.0
584
    # via -r requirements/test.in
585
586
threadpoolctl==3.5.0
    # via scikit-learn
587
588
589
590
tiktoken==0.7.0
    # via
    #   lm-eval
    #   mistral-common
591
timm==1.0.11
592
    # via -r requirements/test.in
593
tokenizers==0.21.0
594
    # via transformers
Michael Goin's avatar
Michael Goin committed
595
torch==2.6.0
596
    # via
597
    #   -r requirements/test.in
598
599
    #   accelerate
    #   bitsandbytes
600
    #   encodec
601
602
    #   lm-eval
    #   peft
603
    #   runai-model-streamer
604
605
606
    #   sentence-transformers
    #   tensorizer
    #   timm
607
    #   torchaudio
608
    #   torchvision
609
610
    #   vector-quantize-pytorch
    #   vocos
Michael Goin's avatar
Michael Goin committed
611
torchaudio==2.6.0
612
    # via
613
    #   -r requirements/test.in
614
615
    #   encodec
    #   vocos
Michael Goin's avatar
Michael Goin committed
616
617
618
619
torchvision==0.21.0
    # via
    #   -r requirements/test.in
    #   timm
620
621
622
623
624
625
626
627
tqdm==4.66.6
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   lm-eval
    #   nltk
    #   peft
628
    #   pqdm
629
630
631
632
633
    #   sentence-transformers
    #   tqdm-multiprocess
    #   transformers
tqdm-multiprocess==0.0.11
    # via lm-eval
634
transformers==4.48.2
635
    # via
636
    #   -r requirements/test.in
637
    #   genai-perf
638
639
640
641
642
    #   lm-eval
    #   peft
    #   sentence-transformers
    #   transformers-stream-generator
transformers-stream-generator==0.0.5
643
    # via -r requirements/test.in
Michael Goin's avatar
Michael Goin committed
644
triton==3.2.0
645
    # via torch
646
647
tritonclient==2.51.0
    # via
648
    #   -r requirements/test.in
649
    #   genai-perf
650
typepy==1.3.2
651
652
653
654
655
656
657
658
    # via
    #   dataproperty
    #   pytablewriter
    #   tabledata
typing-extensions==4.12.2
    # via
    #   huggingface-hub
    #   librosa
659
    #   mistral-common
660
    #   pqdm
661
662
663
664
665
    #   pydantic
    #   pydantic-core
    #   torch
tzdata==2024.2
    # via pandas
666
urllib3==2.2.3
667
668
669
    # via
    #   botocore
    #   requests
670
671
    #   responses
    #   tritonclient
672
vector-quantize-pytorch==1.21.2
673
    # via -r requirements/test.in
674
vocos==0.1.0
675
    # via -r requirements/test.in
676
677
678
679
680
681
word2number==1.1
    # via lm-eval
xxhash==3.5.0
    # via
    #   datasets
    #   evaluate
682
yarl==1.17.1
683
684
685
    # via aiohttp
zstandard==0.23.0
    # via lm-eval