Files
vllm-project--vllm/requirements/test/cpu.txt
T
wehub-resource-sync 7ce4c8e27e
pre-commit / pre-run-check (push) Has been cancelled
pre-commit / pre-commit (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 12:55:37 +08:00

1286 lines
27 KiB
Plaintext

# This file was autogenerated by uv via the following command:
# uv pip compile requirements/test/cuda.in -o requirements/test/cpu.txt --index-strategy unsafe-best-match --torch-backend cpu --python-platform x86_64-manylinux_2_28 --python-version 3.12
absl-py==2.1.0
# via rouge-score
accelerate==1.13.0
# via peft
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.13.3
# via
# -r requirements/test/../common.txt
# aiohttp-cors
# datasets
# fsspec
# gpt-oss
# lm-eval
# ray
aiohttp-cors==0.8.1
# via ray
aiosignal==1.4.0
# via aiohttp
albumentations==1.4.6
# via -r requirements/test/cuda.in
alembic==1.16.4
# via optuna
annotated-doc==0.0.4
# via
# fastapi
# typer
annotated-types==0.7.0
# via pydantic
anthropic==0.112.0
# via -r requirements/test/../common.txt
anyio==4.14.1
# via
# anthropic
# httpx
# mcp
# openai
# sse-starlette
# starlette
# watchfiles
apache-tvm-ffi==0.1.9
# via xgrammar
arctic-inference==0.1.1
# via -r requirements/test/cuda.in
argcomplete==3.5.1
# via datamodel-code-generator
astor==0.8.1
# via depyf
attrs==24.2.0
# via
# aiohttp
# hypothesis
# jsonschema
# referencing
audioread==3.0.1
# via librosa
av==16.1.0
# via -r requirements/test/cuda.in
azure-core==1.38.2
# via
# azure-identity
# azure-storage-blob
azure-identity==1.25.2
# via runai-model-streamer-azure
azure-storage-blob==12.28.0
# via runai-model-streamer-azure
backoff==2.2.1
# via -r requirements/test/cuda.in
bitsandbytes==0.49.2
# via -r requirements/test/cuda.in
black==24.10.0
# via datamodel-code-generator
blake3==1.0.9
# via -r requirements/test/../common.txt
blobfile==3.0.0
# via -r requirements/test/cuda.in
bm25s==0.2.13
# via mteb
boto3==1.35.57
# via
# runai-model-streamer-s3
# tensorizer
botocore==1.35.57
# via
# boto3
# s3transfer
bounded-pool-executor==0.0.3
# via pqdm
buildkite-test-collector==0.1.9
# via -r requirements/test/cuda.in
cachetools==5.5.2
# via
# -r requirements/test/../common.txt
# google-auth
cbor2==6.1.2
# via -r requirements/test/../common.txt
certifi==2024.8.30
# via
# httpcore
# httpx
# requests
# sentry-sdk
cffi==2.0.0
# via
# cryptography
# soundfile
chardet==5.2.0
# via mbstrdecoder
charset-normalizer==3.4.0
# via requests
chz==0.3.0
# via gpt-oss
click==8.4.2
# via
# black
# huggingface-hub
# jiwer
# nltk
# ray
# rich-toolkit
# schemathesis
# uvicorn
cloudpickle==3.1.2
# via -r requirements/test/../common.txt
cohere-melody==0.9.0
# via -r requirements/test/cuda.in
colorama==0.4.6
# via
# perceptron
# sacrebleu
colorful==0.5.6
# via ray
colorlog==6.10.1
# via optuna
compressed-tensors==0.17.0
# via -r requirements/test/../common.txt
contourpy==1.3.0
# via matplotlib
coverage==7.10.6
# via pytest-cov
cramjam==2.9.0
# via fastparquet
cryptography==46.0.5
# via
# azure-identity
# azure-storage-blob
# msal
# pyjwt
cupy-cuda12x==13.6.0
# via ray
cycler==0.12.1
# via matplotlib
datamodel-code-generator==0.26.3
# via -r requirements/test/cuda.in
dataproperty==1.0.1
# via
# pytablewriter
# tabledata
datasets==3.3.0
# via
# -r requirements/test/cuda.in
# evaluate
# lm-eval
# mteb
decorator==5.1.1
# via librosa
decord==0.6.0
# via -r requirements/test/cuda.in
depyf==0.20.0
# via -r requirements/test/../common.txt
detect-installer==0.1.0
# via fastapi-cloud-cli
dill==0.3.8
# via
# datasets
# depyf
# evaluate
# lm-eval
# multiprocess
diskcache==5.6.3
# via -r requirements/test/../common.txt
distlib==0.3.9
# via virtualenv
distro==1.9.0
# via
# anthropic
# openai
dnspython==2.7.0
# via email-validator
docker==7.1.0
# via gpt-oss
docopt==0.6.2
# via num2words
docstring-parser==0.18.0
# via anthropic
einops==0.8.1
# via
# -r requirements/test/../common.txt
# encodec
# vector-quantize-pytorch
# vocos
einx==0.3.0
# via vector-quantize-pytorch
email-validator==2.2.0
# via
# fastapi
# pydantic
encodec==0.1.1
# via vocos
et-xmlfile==2.0.0
# via openpyxl
evaluate==0.4.3
# via lm-eval
fastapi==0.136.3
# via
# -r requirements/test/../common.txt
# gpt-oss
# model-hosting-container-standards
fastapi-cli==0.0.27
# via fastapi
fastapi-cloud-cli==0.21.0
# via fastapi-cli
fastar==0.11.0
# via
# fastapi
# fastapi-cloud-cli
fastparquet==2024.11.0
# via genai-perf
fastrlock==0.8.2
# via cupy-cuda12x
fastsafetensors==0.3.2
# via -r requirements/test/cuda.in
filelock==3.16.1
# via
# -r requirements/test/../common.txt
# blobfile
# datasets
# huggingface-hub
# ray
# torch
# virtualenv
fonttools==4.55.0
# via matplotlib
frozendict==2.4.6
# via einx
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
fsspec==2024.12.0
# via
# datasets
# evaluate
# fastparquet
# huggingface-hub
# torch
ftfy==6.3.1
# via open-clip-torch
genai-perf==0.0.16
# via -r requirements/test/cuda.in
genson==1.3.0
# via datamodel-code-generator
google-api-core==2.24.2
# via
# google-cloud-core
# google-cloud-storage
# opencensus
google-auth==2.40.2
# via
# google-api-core
# google-cloud-core
# google-cloud-storage
# runai-model-streamer-gcs
google-cloud-core==2.4.3
# via google-cloud-storage
google-cloud-storage==3.4.0
# via runai-model-streamer-gcs
google-crc32c==1.7.1
# via
# google-cloud-storage
# google-resumable-media
google-resumable-media==2.7.2
# via google-cloud-storage
googleapis-common-protos==1.70.0
# via
# google-api-core
# opentelemetry-exporter-otlp-proto-grpc
# opentelemetry-exporter-otlp-proto-http
gpt-oss==0.0.8
# via -r requirements/test/cuda.in
graphql-core==3.2.6
# via hypothesis-graphql
greenlet==3.2.3
# via sqlalchemy
grpcio==1.78.0
# via
# -r requirements/test/cuda.in
# grpcio-reflection
# opentelemetry-exporter-otlp-proto-grpc
# ray
grpcio-reflection==1.78.0
# via -r requirements/test/cuda.in
h11==0.14.0
# via
# httpcore
# uvicorn
h2==4.3.0
# via httpx
harfile==0.5.0
# via schemathesis
hf-xet==1.5.1
# via huggingface-hub
hiredis==3.0.0
# via tensorizer
hpack==4.1.0
# via h2
html2text==2025.4.15
# via gpt-oss
httpcore==1.0.6
# via httpx
httptools==0.8.0
# via uvicorn
httpx==0.27.2
# via
# -r requirements/test/cuda.in
# anthropic
# fastapi
# fastapi-cloud-cli
# huggingface-hub
# mcp
# model-hosting-container-standards
# openai
# perceptron
# schemathesis
httpx-sse==0.4.3
# via mcp
huggingface-hub==1.22.0
# via
# accelerate
# datasets
# evaluate
# open-clip-torch
# peft
# segmentation-models-pytorch
# sentence-transformers
# timm
# tokenizers
# transformers
# vocos
humanize==4.11.0
# via runai-model-streamer
hyperframe==6.1.0
# via h2
hypothesis==6.131.0
# via
# hypothesis-graphql
# hypothesis-jsonschema
# schemathesis
hypothesis-graphql==0.13.0
# via schemathesis
hypothesis-jsonschema==0.23.1
# via schemathesis
idna==3.10
# via
# anyio
# email-validator
# httpx
# requests
# yarl
ijson==3.5.0
# via -r requirements/test/../common.txt
imagehash==4.3.2
# via -r requirements/test/cuda.in
imageio==2.37.0
# via scikit-image
importlib-metadata==8.7.0
# via opentelemetry-api
inflect==5.6.2
# via datamodel-code-generator
iniconfig==2.0.0
# via pytest
instanttensor==0.1.5
# via -r requirements/test/cuda.in
interegular==0.3.3
# via lm-format-enforcer
isodate==0.7.2
# via azure-storage-blob
isort==5.13.2
# via datamodel-code-generator
jinja2==3.1.6
# via
# datamodel-code-generator
# fastapi
# genai-perf
# lm-eval
# torch
jiter==0.15.0
# via
# anthropic
# openai
jiwer==3.0.5
# via -r requirements/test/cuda.in
jmespath==1.0.1
# via
# boto3
# botocore
# model-hosting-container-standards
joblib==1.4.2
# via
# librosa
# nltk
# scikit-learn
jsonschema==4.23.0
# via
# -r requirements/test/../common.txt
# hypothesis-jsonschema
# mcp
# mistral-common
# ray
jsonschema-rs==0.46.5
# via schemathesis
jsonschema-specifications==2024.10.1
# via jsonschema
junit-xml==1.9
# via schemathesis
kaldi-native-fbank==1.22.3
# via -r requirements/test/cuda.in
kaleido==0.2.1
# via genai-perf
kiwisolver==1.4.7
# via matplotlib
lark==1.2.2
# via -r requirements/test/../common.txt
lazy-loader==0.4
# via
# librosa
# scikit-image
libnacl==2.1.0
# via tensorizer
librosa==0.10.2.post1
# via -r requirements/test/cuda.in
llguidance==1.7.6
# via -r requirements/test/../common.txt
llvmlite==0.47.0
# via numba
lm-eval==0.4.12
# via -r requirements/test/cuda.in
lm-format-enforcer==0.11.3
# via -r requirements/test/../common.txt
loguru==0.7.3
# via compressed-tensors
lxml==5.3.0
# via
# blobfile
# gpt-oss
# sacrebleu
mako==1.3.10
# via alembic
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.1
# via
# jinja2
# mako
# werkzeug
matplotlib==3.9.2
# via -r requirements/test/cuda.in
mbstrdecoder==1.1.3
# via
# dataproperty
# pytablewriter
# typepy
mcp==1.28.1
# via -r requirements/test/../common.txt
mdurl==0.1.2
# via markdown-it-py
mistral-common==1.11.5
# via
# -r requirements/test/../common.txt
# -r requirements/test/cuda.in
model-hosting-container-standards==0.1.16
# via -r requirements/test/../common.txt
more-itertools==10.5.0
# via lm-eval
mpmath==1.3.0
# via sympy
msal==1.34.0
# via
# azure-identity
# msal-extensions
msal-extensions==1.3.1
# via azure-identity
msgpack==1.1.0
# via
# librosa
# ray
msgspec==0.21.1
# via -r requirements/test/../common.txt
mteb==2.8.3
# via -r requirements/test/cuda.in
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
# scikit-image
# torch
ninja==1.13.0
# via -r requirements/test/../common.txt
nltk==3.9.1
# via rouge-score
num2words==0.5.14
# via -r requirements/test/cuda.in
numba==0.65.0
# via
# -r requirements/test/cuda.in
# librosa
numpy==2.2.6
# via
# -r requirements/test/../common.txt
# accelerate
# albumentations
# bitsandbytes
# bm25s
# contourpy
# cupy-cuda12x
# datasets
# decord
# einx
# encodec
# evaluate
# fastparquet
# genai-perf
# imagehash
# imageio
# librosa
# lm-eval
# matplotlib
# mistral-common
# mteb
# numba
# opencv-python-headless
# optuna
# pandas
# patsy
# peft
# perceptron
# pywavelets
# rouge-score
# runai-model-streamer
# sacrebleu
# scikit-image
# scikit-learn
# scipy
# segmentation-models-pytorch
# soxr
# statsmodels
# tensorizer
# tifffile
# torchvision
# transformers
# tritonclient
# vocos
# xgrammar
open-clip-torch==2.32.0
# via -r requirements/test/cuda.in
openai==2.44.0
# via -r requirements/test/../common.txt
openai-harmony==0.0.4
# via
# -r requirements/test/../common.txt
# gpt-oss
opencensus==0.11.4
# via ray
opencensus-context==0.1.3
# via opencensus
opencv-python-headless==4.13.0.90
# via
# -r requirements/test/../common.txt
# albumentations
# mistral-common
openpyxl==3.1.5
# via -r requirements/test/cuda.in
opentelemetry-api==1.35.0
# via
# -r requirements/test/../common.txt
# opentelemetry-exporter-otlp-proto-grpc
# opentelemetry-exporter-otlp-proto-http
# opentelemetry-exporter-prometheus
# opentelemetry-sdk
# opentelemetry-semantic-conventions
opentelemetry-exporter-otlp==1.35.0
# via -r requirements/test/../common.txt
opentelemetry-exporter-otlp-proto-common==1.35.0
# via
# opentelemetry-exporter-otlp-proto-grpc
# opentelemetry-exporter-otlp-proto-http
opentelemetry-exporter-otlp-proto-grpc==1.35.0
# via opentelemetry-exporter-otlp
opentelemetry-exporter-otlp-proto-http==1.35.0
# via opentelemetry-exporter-otlp
opentelemetry-exporter-prometheus==0.56b0
# via ray
opentelemetry-proto==1.35.0
# via
# opentelemetry-exporter-otlp-proto-common
# opentelemetry-exporter-otlp-proto-grpc
# opentelemetry-exporter-otlp-proto-http
# ray
opentelemetry-sdk==1.35.0
# via
# -r requirements/test/../common.txt
# opentelemetry-exporter-otlp-proto-grpc
# opentelemetry-exporter-otlp-proto-http
# opentelemetry-exporter-prometheus
# ray
opentelemetry-semantic-conventions==0.56b0
# via opentelemetry-sdk
opentelemetry-semantic-conventions-ai==0.4.13
# via -r requirements/test/../common.txt
optuna==3.6.1
# via genai-perf
orjson==3.11.5
# via genai-perf
outlines-core==0.2.14
# via -r requirements/test/../common.txt
packaging==24.2
# via
# accelerate
# bitsandbytes
# black
# datamodel-code-generator
# datasets
# evaluate
# fastparquet
# huggingface-hub
# lazy-loader
# lm-format-enforcer
# matplotlib
# optuna
# peft
# plotly
# pooch
# pytest
# pytest-rerunfailures
# ray
# scikit-image
# statsmodels
# transformers
# typepy
pandas==2.2.3
# via
# datasets
# evaluate
# fastparquet
# genai-perf
# statsmodels
partial-json-parser==0.2.1.1.post7
# via -r requirements/test/../common.txt
pathspec==0.12.1
# via black
pathvalidate==3.2.1
# via pytablewriter
patsy==1.0.1
# via statsmodels
peft==0.19.1
# via -r requirements/test/cuda.in
perceptron==0.1.4
# via -r requirements/test/cuda.in
perf-analyzer==0.1.0
# via genai-perf
pillow==10.4.0
# via
# -r requirements/test/../common.txt
# genai-perf
# imagehash
# imageio
# matplotlib
# mistral-common
# perceptron
# scikit-image
# segmentation-models-pytorch
# torchvision
platformdirs==4.3.6
# via
# black
# pooch
# virtualenv
plotly==5.24.1
# via
# -r requirements/test/cuda.in
# genai-perf
pluggy==1.5.0
# via
# pytest
# pytest-cov
polars==1.29.0
# via mteb
pooch==1.8.2
# via librosa
portalocker==2.10.1
# via sacrebleu
pqdm==0.2.0
# via -r requirements/test/cuda.in
prometheus-client==0.22.0
# via
# -r requirements/test/../common.txt
# opentelemetry-exporter-prometheus
# prometheus-fastapi-instrumentator
# ray
prometheus-fastapi-instrumentator==8.0.2
# via -r requirements/test/../common.txt
propcache==0.2.0
# via
# aiohttp
# yarl
proto-plus==1.26.1
# via google-api-core
protobuf==6.33.6
# via
# -r requirements/test/../common.txt
# google-api-core
# googleapis-common-protos
# grpcio-reflection
# opentelemetry-proto
# proto-plus
# ray
# tensorizer
psutil==6.1.0
# via
# -r requirements/test/../common.txt
# accelerate
# peft
# tensorizer
py==1.11.0
# via pytest-forked
py-cpuinfo==9.0.0
# via -r requirements/test/../common.txt
py-spy==0.4.0
# via ray
pyarrow==23.0.0
# via
# datasets
# genai-perf
pyasn1==0.6.1
# via
# pyasn1-modules
# rsa
pyasn1-modules==0.4.2
# via google-auth
pybase64==1.4.3
# via -r requirements/test/../common.txt
pycountry==24.6.1
# via pydantic-extra-types
pycparser==2.22
# via cffi
pycryptodomex==3.22.0
# via blobfile
pydantic==2.12.0
# via
# -r requirements/test/../common.txt
# albumentations
# anthropic
# compressed-tensors
# datamodel-code-generator
# fastapi
# fastapi-cloud-cli
# gpt-oss
# lm-format-enforcer
# mcp
# mistral-common
# model-hosting-container-standards
# mteb
# openai
# openai-harmony
# pydantic-extra-types
# pydantic-settings
# ray
# xgrammar
pydantic-core==2.41.1
# via pydantic
pydantic-extra-types==2.10.5
# via
# fastapi
# mistral-common
pydantic-settings==2.14.2
# via
# fastapi
# mcp
pygments==2.18.0
# via
# pytest
# rich
pyjwt==2.11.0
# via
# mcp
# msal
pyparsing==3.2.0
# via matplotlib
pyrate-limiter==4.4.0
# via schemathesis
pystemmer==3.0.0
# via mteb
pytablewriter==1.2.0
# via lm-eval
pytest==9.1.0
# via
# -r requirements/test/cuda.in
# buildkite-test-collector
# genai-perf
# pytest-asyncio
# pytest-cov
# pytest-forked
# pytest-mock
# pytest-rerunfailures
# pytest-shard
# pytest-timeout
# schemathesis
pytest-asyncio==1.4.0
# via -r requirements/test/cuda.in
pytest-cov==6.3.0
# via -r requirements/test/cuda.in
pytest-forked==1.6.0
# via -r requirements/test/cuda.in
pytest-mock==3.14.0
# via genai-perf
pytest-rerunfailures==14.0
# via -r requirements/test/cuda.in
pytest-shard==0.1.2
# via -r requirements/test/cuda.in
pytest-timeout==2.3.1
# via -r requirements/test/cuda.in
python-dateutil==2.9.0.post0
# via
# botocore
# matplotlib
# pandas
# typepy
python-dotenv==1.2.2
# via
# pydantic-settings
# uvicorn
python-json-logger==4.1.0
# via -r requirements/test/../common.txt
python-multipart==0.0.32
# via
# fastapi
# mcp
python-rapidjson==1.20
# via tritonclient
pytrec-eval-terrier==0.5.7
# via mteb
pytz==2024.2
# via
# pandas
# typepy
pywavelets==1.9.0
# via imagehash
pyyaml==6.0.2
# via
# -r requirements/test/../common.txt
# accelerate
# albumentations
# datamodel-code-generator
# datasets
# genai-perf
# huggingface-hub
# lm-format-enforcer
# optuna
# peft
# ray
# responses
# schemathesis
# timm
# transformers
# uvicorn
# vocos
pyzmq==27.1.0
# via -r requirements/test/../common.txt
rapidfuzz==3.12.1
# via jiwer
ray==2.48.0
# via -r requirements/test/cuda.in
redis==5.2.0
# via tensorizer
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
regex==2026.2.28
# via
# -r requirements/test/../common.txt
# nltk
# open-clip-torch
# sacrebleu
# tiktoken
# transformers
requests==2.32.3
# via
# -r requirements/test/../common.txt
# azure-core
# buildkite-test-collector
# datasets
# docker
# evaluate
# google-api-core
# google-cloud-storage
# gpt-oss
# lm-eval
# mistral-common
# msal
# mteb
# opentelemetry-exporter-otlp-proto-http
# pooch
# ray
# responses
# schemathesis
# starlette-testclient
# tiktoken
responses==0.25.3
# via genai-perf
rich==13.9.4
# via
# genai-perf
# mteb
# perceptron
# rich-toolkit
# schemathesis
# typer
rich-toolkit==0.20.1
# via
# fastapi-cli
# fastapi-cloud-cli
rignore==0.7.6
# via fastapi-cloud-cli
rouge-score==0.1.2
# via lm-eval
rpds-py==0.20.1
# via
# jsonschema
# referencing
rsa==4.9.1
# via google-auth
runai-model-streamer==0.15.7
# via -r requirements/test/cuda.in
runai-model-streamer-azure==0.15.7
# via runai-model-streamer
runai-model-streamer-gcs==0.15.7
# via runai-model-streamer
runai-model-streamer-s3==0.15.7
# via runai-model-streamer
s3transfer==0.10.3
# via boto3
sacrebleu==2.4.3
# via lm-eval
safetensors==0.8.0
# via
# -r requirements/test/../common.txt
# accelerate
# open-clip-torch
# peft
# segmentation-models-pytorch
# timm
# transformers
schemathesis==4.21.6
# via -r requirements/test/cuda.in
scikit-image==0.25.2
# via albumentations
scikit-learn==1.5.2
# via
# albumentations
# librosa
# lm-eval
# mteb
# sentence-transformers
scipy==1.13.1
# via
# albumentations
# bm25s
# imagehash
# librosa
# mteb
# scikit-image
# scikit-learn
# sentence-transformers
# statsmodels
# vocos
segmentation-models-pytorch==0.5.0
# via -r requirements/test/cuda.in
sentence-transformers==5.2.0
# via
# -r requirements/test/cuda.in
# mteb
sentencepiece==0.2.1
# via -r requirements/test/../common.txt
sentry-sdk==2.63.0
# via fastapi-cloud-cli
setproctitle==1.3.7
# via -r requirements/test/../common.txt
setuptools==77.0.3
# via
# -r requirements/test/../common.txt
# model-hosting-container-standards
# pytablewriter
# torch
shellingham==1.5.4
# via
# perceptron
# typer
six==1.16.0
# via
# -r requirements/test/../common.txt
# junit-xml
# opencensus
# python-dateutil
# rouge-score
smart-open==7.1.0
# via ray
sniffio==1.3.1
# via
# anthropic
# httpx
# openai
sortedcontainers==2.4.0
# via hypothesis
soundfile==0.12.1
# via
# -r requirements/test/cuda.in
# genai-perf
# librosa
# mistral-common
soxr==0.5.0.post1
# via
# librosa
# mistral-common
sqlalchemy==2.0.41
# via
# alembic
# optuna
sqlitedict==2.1.0
# via lm-eval
sse-starlette==3.4.5
# via mcp
starlette==1.3.1
# via
# -r requirements/test/../common.txt
# fastapi
# mcp
# model-hosting-container-standards
# prometheus-fastapi-instrumentator
# sse-starlette
# starlette-testclient
starlette-testclient==0.4.1
# via schemathesis
statsmodels==0.14.4
# via genai-perf
structlog==25.4.0
# via gpt-oss
supervisor==4.3.0
# via model-hosting-container-standards
sympy==1.13.3
# via
# einx
# torch
tabledata==1.3.3
# via pytablewriter
tabulate==0.9.0
# via sacrebleu
tblib==3.1.0
# via -r requirements/test/cuda.in
tcolorpy==0.1.6
# via pytablewriter
tenacity==9.1.2
# via
# gpt-oss
# lm-eval
# plotly
# schemathesis
tensorizer==2.10.1
# via -r requirements/test/cuda.in
termcolor==3.1.0
# via gpt-oss
threadpoolctl==3.5.0
# via scikit-learn
tifffile==2025.3.30
# via scikit-image
tiktoken==0.12.0
# via
# -r requirements/test/../common.txt
# gpt-oss
# lm-eval
# mistral-common
timm==1.0.17
# via
# -r requirements/test/cuda.in
# open-clip-torch
# segmentation-models-pytorch
tokenizers==0.22.2
# via
# -r requirements/test/../common.txt
# -r requirements/test/cuda.in
# transformers
torch==2.11.0+cpu
# via
# -r requirements/test/cuda.in
# accelerate
# bitsandbytes
# compressed-tensors
# encodec
# instanttensor
# mteb
# open-clip-torch
# peft
# runai-model-streamer
# segmentation-models-pytorch
# sentence-transformers
# tensorizer
# timm
# torchvision
# vector-quantize-pytorch
# vocos
# xgrammar
torchaudio==2.11.0+cpu
# via
# -r requirements/test/cuda.in
# encodec
# vocos
torchcodec==0.14.0+cpu
# via -r requirements/test/cuda.in
torchvision==0.26.0+cpu
# via
# -r requirements/test/cuda.in
# open-clip-torch
# segmentation-models-pytorch
# timm
tqdm==4.67.3
# via
# -r requirements/test/../common.txt
# datasets
# evaluate
# huggingface-hub
# lm-eval
# mteb
# nltk
# open-clip-torch
# openai
# optuna
# peft
# pqdm
# segmentation-models-pytorch
# sentence-transformers
# transformers
transformers==5.13.1
# via
# -r requirements/test/../common.txt
# -r requirements/test/cuda.in
# compressed-tensors
# genai-perf
# peft
# sentence-transformers
# transformers-stream-generator
# xgrammar
transformers-stream-generator==0.0.5
# via -r requirements/test/cuda.in
triton==3.6.0
# via xgrammar
tritonclient==2.64.0
# via -r requirements/test/cuda.in
typepy==1.3.2
# via
# dataproperty
# pytablewriter
# tabledata
typer==0.26.8
# via
# fastapi-cli
# fastapi-cloud-cli
# fastsafetensors
# perceptron
# transformers
typing-extensions==4.15.0
# via
# -r requirements/test/../common.txt
# aiosignal
# albumentations
# alembic
# anthropic
# anyio
# apache-tvm-ffi
# azure-core
# azure-identity
# azure-storage-blob
# chz
# fastapi
# grpcio
# huggingface-hub
# librosa
# lm-eval
# mcp
# mistral-common
# mteb
# openai
# opentelemetry-api
# opentelemetry-exporter-otlp-proto-grpc
# opentelemetry-exporter-otlp-proto-http
# opentelemetry-sdk
# opentelemetry-semantic-conventions
# pqdm
# pydantic
# pydantic-core
# pydantic-extra-types
# pytest-asyncio
# rich-toolkit
# schemathesis
# sentence-transformers
# sqlalchemy
# starlette
# torch
# typing-inspection
# xgrammar
typing-inspection==0.4.2
# via
# fastapi
# mcp
# pydantic
# pydantic-settings
tzdata==2024.2
# via pandas
urllib3==2.2.3
# via
# blobfile
# botocore
# docker
# requests
# responses
# sentry-sdk
# tritonclient
uvicorn==0.35.0
# via
# fastapi
# fastapi-cli
# fastapi-cloud-cli
# gpt-oss
# mcp
uvloop==0.22.1
# via uvicorn
vector-quantize-pytorch==1.21.2
# via -r requirements/test/cuda.in
virtualenv==20.31.2
# via ray
vocos==0.1.0
# via -r requirements/test/cuda.in
watchfiles==1.2.0
# via
# -r requirements/test/../common.txt
# uvicorn
wcwidth==0.2.13
# via ftfy
websockets==16.0
# via uvicorn
werkzeug==3.1.3
# via schemathesis
word2number==1.1
# via lm-eval
wrapt==1.17.2
# via smart-open
xgrammar==0.2.3
# via -r requirements/test/../common.txt
xxhash==3.5.0
# via
# datasets
# evaluate
yarl==1.17.1
# via aiohttp
zipp==3.23.0
# via importlib-metadata