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vllm-project--vllm/requirements/test/cuda.in
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-r ../common.txt
# testing
pytest
tensorizer==2.10.1
pytest-forked
pytest-asyncio
pytest-rerunfailures
pytest-shard
pytest-timeout
pytest-cov
# testing utils
albumentations # required for Nemotron Parse in test_common.py
av # required for audio_in_video tests
torchcodec >= 0.14 # required for torchcodec video backend tests
backoff # required for phi4mm test
blobfile # required for kimi-vl test
httpx
librosa # required for audio tests
vector_quantize_pytorch # required for minicpmo_26 test
vocos # required for minicpmo_26 test
peft>=0.19.1 # required for phi-4-mm test
pqdm
ray[cgraph,default]>=2.48.0 # Ray Compiled Graph, required by pipeline parallelism tests
sentence-transformers>=5.2.0 # required for embedding tests
soundfile # required for audio tests
jiwer # required for audio tests
tblib # for pickling test exceptions
timm >=1.0.17 # required for internvl and gemma3n-mm test
torch==2.11.0
torchaudio==2.11.0
torchvision==0.26.0
transformers_stream_generator # required for qwen-vl test
matplotlib # required for qwen-vl test
mistral_common[image,audio] >= 1.11.5 # required for voxtral test
num2words # required for smolvlm test
open_clip_torch==2.32.0 # Required for nemotron_vl test, Nemotron Parse in test_common.py
datamodel_code_generator # required for minicpm3 test
lm-eval[api]>=0.4.12 # required for model evaluation test
mteb[bm25s]>=2, <3 # required for mteb test
transformers==5.13.1
tokenizers==0.22.2
schemathesis>=4.0.0 # Required for openai schema test.
# quantization
bitsandbytes==0.49.2
buildkite-test-collector==0.1.9
genai_perf>=0.0.8
tritonclient>=2.51.0
# The version of gRPC libraries should be consistent with each other
grpcio==1.78.0
grpcio-reflection==1.78.0
arctic-inference == 0.1.1; platform_machine == "x86_64" # Required for suffix decoding test
numba == 0.65.0 # Required for N-gram speculative decoding
runai-model-streamer[s3,gcs,azure]==0.15.7
fastsafetensors>=0.3.2
instanttensor>=0.1.5; platform_machine == "x86_64"
decord==0.6.0; platform_machine == "x86_64"
# terratorch is temporarily disabled while PyPI has the `lightning` package
# in `quarantined` status (every published terratorch version transitively
# requires `lightning`, so the resolver fails with "no versions of lightning").
# Re-enable once PyPI lifts the quarantine. Tracked in #41376.
# terratorch >= 1.2.2 # Required for Prithvi tests
imagehash # Required for Prithvi tests
segmentation-models-pytorch > 0.4.0 # Required for Prithvi tests
gpt-oss >= 0.0.7; python_version > '3.11'
perceptron # required for isaac test
kaldi-native-fbank >= 1.18.7 # required for fireredasr2 test
cohere_melody>=0.9.0 # required for cohere command reasoning parser test
# Newer versions of datasets require torchcoded, that makes the tests fail in CI because of a missing library.
# Older versions are in conflict with teerratorch requirements.
datasets>=3.3.0,<=3.6.0
openpyxl # required for perf comparison excel report
plotly # required for perf comparison html report