xpu.txt

# This file was autogenerated by uv via the following command:
#    uv pip compile requirements/test/xpu.in -c requirements/xpu.txt -o requirements/test/xpu.txt --index-strategy unsafe-best-match --torch-backend xpu --python-platform x86_64-manylinux_2_39 --python-version 3.12
absl-py==2.4.0
    # via
    #   -r requirements/test/xpu.in
    #   rouge-score
accelerate==1.13.0
    # via -r requirements/test/xpu.in
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.13.4
    # via
    #   -c requirements/common.txt
    #   fsspec
    #   gpt-oss
    #   lm-eval
aiosignal==1.4.0
    # via aiohttp
albumentations==1.4.6
    # via -r requirements/test/xpu.in
annotated-doc==0.0.4
    # via
    #   fastapi
    #   typer
annotated-types==0.7.0
    # via pydantic
anyio==4.13.0
    # via
    #   httpx
    #   starlette
arctic-inference==0.1.1
    # via -r requirements/test/xpu.in
attrs==26.1.0
    # via
    #   aiohttp
    #   jsonlines
    #   jsonschema
    #   referencing
audioread==3.0.1
    # via
    #   -r requirements/test/xpu.in
    #   librosa
blobfile==3.0.0
    # via -r requirements/test/xpu.in
bm25s==0.2.13
    # via
    #   -r requirements/test/xpu.in
    #   mteb
bounded-pool-executor==0.0.3
    # via pqdm
certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==2.0.0
    # via soundfile
chardet==5.2.0
    # via mbstrdecoder
charset-normalizer==3.4.6
    # via requests
chz==0.4.0
    # via gpt-oss
click==8.3.1
    # via
    #   jiwer
    #   nltk
    #   schemathesis
    #   typer
    #   uvicorn
colorama==0.4.6
    # via sacrebleu
coverage==7.13.5
    # via pytest-cov
dataproperty==1.1.0
    # via
    #   pytablewriter
    #   tabledata
datasets==4.8.4
    # via
    #   evaluate
    #   lm-eval
    #   mteb
decorator==5.2.1
    # via librosa
dill==0.4.1
    # via
    #   datasets
    #   evaluate
    #   lm-eval
    #   multiprocess
docker==7.1.0
    # via gpt-oss
docopt==0.6.2
    # via num2words
dpcpp-cpp-rt==2025.3.2
    # via
    #   onemkl-sycl-blas
    #   onemkl-sycl-dft
    #   onemkl-sycl-lapack
    #   onemkl-sycl-rng
    #   onemkl-sycl-sparse
    #   torch
evaluate==0.4.6
    # via lm-eval
fastapi==0.135.2
    # via
    #   -c requirements/common.txt
    #   gpt-oss
filelock==3.25.2
    # via
    #   -c requirements/common.txt
    #   blobfile
    #   datasets
    #   huggingface-hub
    #   modelscope
    #   torch
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2026.2.0
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   torch
gpt-oss==0.0.8
    # via -r requirements/test/xpu.in
graphql-core==3.2.8
    # via hypothesis-graphql
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
harfile==0.4.0
    # via schemathesis
hf-xet==1.4.3
    # via huggingface-hub
html2text==2025.4.15
    # via gpt-oss
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via
    #   datasets
    #   huggingface-hub
    #   schemathesis
huggingface-hub==1.10.2
    # via
    #   accelerate
    #   datasets
    #   evaluate
    #   sentence-transformers
    #   timm
    #   tokenizers
    #   transformers
hypothesis==6.151.10
    # via
    #   hypothesis-graphql
    #   hypothesis-jsonschema
    #   schemathesis
hypothesis-graphql==0.12.0
    # via schemathesis
hypothesis-jsonschema==0.23.1
    # via schemathesis
idna==3.11
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
imageio==2.37.3
    # via scikit-image
impi-rt==2021.17.2
    # via
    #   oneccl
    #   torch
iniconfig==2.3.0
    # via pytest
intel-cmplr-lib-rt==2025.3.2
    # via
    #   intel-sycl-rt
    #   torch
intel-cmplr-lib-ur==2025.3.2
    # via
    #   intel-openmp
    #   intel-sycl-rt
    #   torch
intel-cmplr-lic-rt==2025.3.2
    # via
    #   intel-opencl-rt
    #   intel-sycl-rt
    #   torch
intel-opencl-rt==2025.3.2
    # via
    #   dpcpp-cpp-rt
    #   onemkl-sycl-blas
    #   onemkl-sycl-dft
    #   onemkl-sycl-lapack
    #   onemkl-sycl-rng
    #   onemkl-sycl-sparse
    #   torch
intel-openmp==2025.3.2
    # via
    #   dpcpp-cpp-rt
    #   mkl
    #   torch
intel-pti==0.16.0
    # via torch
intel-sycl-rt==2025.3.2
    # via
    #   dpcpp-cpp-rt
    #   oneccl
    #   torch
jinja2==3.1.6
    # via
    #   -c requirements/xpu.txt
    #   lm-eval
    #   torch
jiwer==4.0.0
    # via -r requirements/test/xpu.in
joblib==1.5.3
    # via
    #   librosa
    #   nltk
    #   scikit-learn
jsonlines==4.0.0
    # via lm-eval
jsonschema==4.26.0
    # via
    #   hypothesis-jsonschema
    #   mistral-common
    #   schemathesis
jsonschema-rs==0.45.0
    # via schemathesis
jsonschema-specifications==2025.9.1
    # via jsonschema
junit-xml==1.9
    # via schemathesis
lazy-loader==0.5
    # via
    #   librosa
    #   scikit-image
librosa==0.10.2.post1
    # via -r requirements/test/xpu.in
llvmlite==0.44.0
    # via numba
lm-eval==0.4.11
    # via -r requirements/test/xpu.in
lxml==6.0.2
    # via
    #   blobfile
    #   gpt-oss
    #   sacrebleu
markdown-it-py==4.0.0
    # via rich
markupsafe==3.0.3
    # via
    #   jinja2
    #   werkzeug
mbstrdecoder==1.1.4
    # via
    #   dataproperty
    #   pytablewriter
    #   typepy
mdurl==0.1.2
    # via markdown-it-py
mistral-common==1.11.0
    # via
    #   -c requirements/common.txt
    #   -r requirements/test/xpu.in
mkl==2025.3.1
    # via
    #   onemkl-sycl-blas
    #   onemkl-sycl-dft
    #   onemkl-sycl-lapack
    #   onemkl-sycl-rng
    #   onemkl-sycl-sparse
    #   torch
modelscope==1.35.3
    # via -r requirements/test/xpu.in
more-itertools==10.8.0
    # via lm-eval
mpmath==1.3.0
    # via sympy
msgpack==1.1.2
    # via librosa
mteb==2.12.7
    # via -r requirements/test/xpu.in
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.19
    # via
    #   datasets
    #   evaluate
networkx==3.6.1
    # via
    #   scikit-image
    #   torch
nltk==3.9.4
    # via rouge-score
num2words==0.5.14
    # via -r requirements/test/xpu.in
numba==0.61.2
    # via
    #   -c requirements/xpu.txt
    #   librosa
numpy==2.2.6
    # via
    #   accelerate
    #   albumentations
    #   bm25s
    #   datasets
    #   evaluate
    #   imageio
    #   librosa
    #   lm-eval
    #   mistral-common
    #   mteb
    #   numba
    #   opencv-python-headless
    #   pandas
    #   pytrec-eval-terrier
    #   rouge-score
    #   sacrebleu
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   sentence-transformers
    #   soundfile
    #   soxr
    #   tifffile
    #   torchvision
    #   transformers
oneccl==2021.17.2
    # via
    #   oneccl-devel
    #   torch
oneccl-devel==2021.17.2
    # via torch
onemkl-license==2025.3.1
    # via
    #   mkl
    #   torch
onemkl-sycl-blas==2025.3.1
    # via
    #   onemkl-sycl-lapack
    #   onemkl-sycl-sparse
    #   torch
onemkl-sycl-dft==2025.3.1
    # via torch
onemkl-sycl-lapack==2025.3.1
    # via torch
onemkl-sycl-rng==2025.3.1
    # via torch
onemkl-sycl-sparse==2025.3.1
    # via torch
openai-harmony==0.0.8
    # via
    #   -c requirements/common.txt
    #   gpt-oss
opencv-python-headless==4.13.0.92
    # via
    #   -c requirements/common.txt
    #   albumentations
    #   mistral-common
packaging==26.0
    # via
    #   -c requirements/xpu.txt
    #   accelerate
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   lazy-loader
    #   modelscope
    #   pooch
    #   pytest
    #   pytest-rerunfailures
    #   scikit-image
    #   transformers
    #   typepy
pandas==3.0.1
    # via
    #   datasets
    #   evaluate
pathvalidate==3.3.1
    # via pytablewriter
pillow==12.1.1
    # via
    #   imageio
    #   mistral-common
    #   scikit-image
    #   torchvision
platformdirs==4.9.4
    # via pooch
pluggy==1.6.0
    # via
    #   pytest
    #   pytest-cov
polars==1.39.3
    # via mteb
polars-runtime-32==1.39.3
    # via polars
pooch==1.8.2
    # via
    #   -r requirements/test/xpu.in
    #   librosa
portalocker==3.2.0
    # via sacrebleu
pqdm==0.2.0
    # via -r requirements/test/xpu.in
propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
psutil==7.2.2
    # via accelerate
py==1.11.0
    # via pytest-forked
pyarrow==23.0.1
    # via datasets
pycountry==26.2.16
    # via pydantic-extra-types
pycparser==3.0
    # via cffi
pycryptodomex==3.23.0
    # via blobfile
pydantic==2.12.5
    # via
    #   -c requirements/common.txt
    #   albumentations
    #   fastapi
    #   gpt-oss
    #   mistral-common
    #   mteb
    #   openai-harmony
    #   pydantic-extra-types
pydantic-core==2.41.5
    # via pydantic
pydantic-extra-types==2.11.1
    # via mistral-common
pyelftools==0.32
    # via triton-xpu
pygments==2.20.0
    # via
    #   pytest
    #   rich
pyrate-limiter==4.1.0
    # via schemathesis
pystemmer==3.0.0
    # via
    #   -r requirements/test/xpu.in
    #   mteb
pytablewriter==1.2.1
    # via lm-eval
pytest==9.0.2
    # via
    #   -r requirements/test/xpu.in
    #   pytest-asyncio
    #   pytest-cov
    #   pytest-forked
    #   pytest-rerunfailures
    #   pytest-shard
    #   pytest-timeout
    #   schemathesis
pytest-asyncio==1.3.0
    # via -r requirements/test/xpu.in
pytest-cov==6.3.0
    # via -r requirements/test/xpu.in
pytest-forked==1.6.0
    # via -r requirements/test/xpu.in
pytest-rerunfailures==14.0
    # via -r requirements/test/xpu.in
pytest-shard==0.1.2
    # via -r requirements/test/xpu.in
pytest-timeout==2.3.1
    # via -r requirements/test/xpu.in
python-dateutil==2.9.0.post0
    # via
    #   pandas
    #   typepy
pytrec-eval-terrier==0.5.10
    # via mteb
pytz==2026.1.post1
    # via typepy
pyyaml==6.0.3
    # via
    #   accelerate
    #   albumentations
    #   datasets
    #   huggingface-hub
    #   schemathesis
    #   timm
    #   transformers
rapidfuzz==3.12.1
    # via
    #   -r requirements/test/xpu.in
    #   jiwer
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
regex==2026.3.32
    # via
    #   nltk
    #   sacrebleu
    #   tiktoken
    #   transformers
requests==2.33.1
    # via
    #   -c requirements/common.txt
    #   datasets
    #   docker
    #   evaluate
    #   gpt-oss
    #   lm-eval
    #   mistral-common
    #   modelscope
    #   mteb
    #   pooch
    #   schemathesis
    #   starlette-testclient
    #   tiktoken
rich==14.3.3
    # via
    #   mteb
    #   schemathesis
    #   typer
rouge-score==0.1.2
    # via lm-eval
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
sacrebleu==2.6.0
    # via lm-eval
safetensors==0.7.0
    # via
    #   accelerate
    #   timm
    #   transformers
schemathesis==4.14.2
    # via -r requirements/test/xpu.in
scikit-image==0.26.0
    # via albumentations
scikit-learn==1.8.0
    # via
    #   albumentations
    #   librosa
    #   lm-eval
    #   mteb
    #   sentence-transformers
scipy==1.17.1
    # via
    #   albumentations
    #   bm25s
    #   librosa
    #   mteb
    #   pytrec-eval-terrier
    #   scikit-image
    #   scikit-learn
    #   sentence-transformers
sentence-transformers==5.3.0
    # via mteb
setuptools==80.10.2
    # via
    #   -c requirements/common.txt
    #   -c requirements/xpu.txt
    #   modelscope
    #   pytablewriter
    #   torch
shellingham==1.5.4
    # via typer
six==1.17.0
    # via
    #   -c requirements/common.txt
    #   junit-xml
    #   python-dateutil
    #   rouge-score
sortedcontainers==2.4.0
    # via hypothesis
soundfile==0.13.1
    # via
    #   -r requirements/test/xpu.in
    #   librosa
    #   mistral-common
soxr==0.5.0.post1
    # via
    #   -r requirements/test/xpu.in
    #   librosa
    #   mistral-common
sqlitedict==2.1.0
    # via lm-eval
starlette==1.0.0
    # via
    #   fastapi
    #   starlette-testclient
starlette-testclient==0.4.1
    # via schemathesis
structlog==25.5.0
    # via gpt-oss
sympy==1.14.0
    # via torch
tabledata==1.3.4
    # via pytablewriter
tabulate==0.10.0
    # via sacrebleu
tbb==2022.3.1
    # via
    #   intel-opencl-rt
    #   mkl
    #   torch
tblib==3.1.0
    # via -r requirements/test/xpu.in
tcmlib==1.4.1
    # via
    #   tbb
    #   torch
    #   umf
tcolorpy==0.1.7
    # via pytablewriter
tenacity==9.1.4
    # via
    #   gpt-oss
    #   lm-eval
    #   schemathesis
termcolor==3.3.0
    # via gpt-oss
threadpoolctl==3.6.0
    # via scikit-learn
tifffile==2026.3.3
    # via scikit-image
tiktoken==0.12.0
    # via
    #   -c requirements/common.txt
    #   gpt-oss
    #   lm-eval
    #   mistral-common
timm==1.0.17
    # via -r requirements/test/xpu.in
tokenizers==0.22.2
    # via
    #   -c requirements/common.txt
    #   transformers
torch==2.11.0+xpu
    # via
    #   -c requirements/xpu.txt
    #   accelerate
    #   mteb
    #   sentence-transformers
    #   timm
    #   torchvision
torchvision==0.26.0+xpu
    # via timm
tqdm==4.67.3
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   lm-eval
    #   modelscope
    #   mteb
    #   nltk
    #   pqdm
    #   sentence-transformers
    #   transformers
transformers==5.5.3
    # via
    #   -c requirements/common.txt
    #   sentence-transformers
triton-xpu==3.7.0
    # via torch
typepy==1.3.4
    # via
    #   dataproperty
    #   pytablewriter
    #   tabledata
typer==0.24.1
    # via
    #   huggingface-hub
    #   transformers
typing-extensions==4.15.0
    # via
    #   -c requirements/common.txt
    #   aiosignal
    #   albumentations
    #   anyio
    #   chz
    #   fastapi
    #   huggingface-hub
    #   librosa
    #   lm-eval
    #   mistral-common
    #   mteb
    #   pqdm
    #   pydantic
    #   pydantic-core
    #   pydantic-extra-types
    #   pytest-asyncio
    #   referencing
    #   schemathesis
    #   sentence-transformers
    #   starlette
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   pydantic
umf==1.0.3
    # via
    #   intel-cmplr-lib-ur
    #   torch
urllib3==2.6.3
    # via
    #   blobfile
    #   docker
    #   modelscope
    #   requests
uvicorn==0.42.0
    # via gpt-oss
werkzeug==3.1.7
    # via schemathesis
word2number==1.1
    # via lm-eval
xxhash==3.6.0
    # via
    #   datasets
    #   evaluate
yarl==1.23.0
    # via aiohttp
zstandard==0.25.0
    # via lm-eval