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Bump the minor-update group across 1 directory with 149 updates

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---
updated-dependencies:
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- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: uvicorn
  dependency-version: 0.49.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: vector-quantize-pytorch
  dependency-version: 1.29.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: wcwidth
  dependency-version: 0.7.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: xxhash
  dependency-version: 3.7.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: yarl
  dependency-version: 1.24.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: conch-triton-kernels
  dependency-version: '1.3'
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: zentorch
  dependency-version: 2.12.0.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: minor-update
- dependency-name: helion
  dependency-version: 1.1.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: minor-update
...

Signed-off-by: dependabot[bot] <support@github.com>
This commit is contained in:
dependabot[bot]
2026-06-05 16:59:49 +00:00
committed by GitHub
parent b593396c7a
commit cc6968a926
4 changed files with 165 additions and 165 deletions
Download Patch File Download Diff File Expand all files Collapse all files
requirements/common.txt
+12 -12
View File
@@ -3,31 +3,31 @@ cachetools
psutil
sentencepiece # Required for LLaMA tokenizer.
numpy
requests >= 2.26.0
requests >= 2.34.2
tqdm
blake3
py-cpuinfo
transformers >= 4.56.0, != 5.0.*, != 5.1.*, != 5.2.*, != 5.3.*, != 5.4.*, != 5.5.0
tokenizers >= 0.21.1 # Required for fast incremental detokenization.
transformers != 5.0.0.dev, != 5.1.0.dev, != 5.2.0.dev, != 5.3.0.dev, != 5.4.0.dev, != 5.5.0, >= 5.10.2
tokenizers >= 0.23.1 # Required for fast incremental detokenization.
safetensors >= 0.6.2 # MXFP4/MXFP6 dtype support (F8_E8M0, F4) added in 0.6.0: https://github.com/huggingface/safetensors/pull/611
protobuf >= 5.29.6, !=6.30.*, !=6.31.*, !=6.32.*, !=6.33.0.*, !=6.33.1.*, !=6.33.2.*, !=6.33.3.*, !=6.33.4.* # Required by LlamaTokenizer, gRPC. CVE-2026-0994
fastapi[standard] >= 0.115.0 # Required by FastAPI's form models in the OpenAI API server's audio transcriptions endpoint.
aiohttp >= 3.13.3
fastapi[standard] >= 0.136.3 # Required by FastAPI's form models in the OpenAI API server's audio transcriptions endpoint.
aiohttp >= 3.14.0
openai >= 2.0.0 # For Responses API with reasoning content
pydantic >= 2.12.0
prometheus_client >= 0.18.0
pydantic >= 2.13.4
prometheus_client >= 0.25.0
pillow # Required for image processing
prometheus-fastapi-instrumentator >= 7.0.0
tiktoken >= 0.6.0 # Required for DBRX tokenizer
tiktoken >= 0.13.0 # Required for DBRX tokenizer
lm-format-enforcer == 0.11.3
llguidance >= 1.7.0, < 1.8.0; platform_machine == "x86_64" or platform_machine == "arm64" or platform_machine == "aarch64" or platform_machine == "ppc64le"
outlines_core == 0.2.14
# required for outlines backend disk cache
diskcache == 5.6.3
lark == 1.2.2
lark == 1.3.1
xgrammar >= 0.2.0, < 1.0.0; platform_machine == "x86_64" or platform_machine == "aarch64" or platform_machine == "arm64" or platform_machine == "s390x" or platform_machine == "ppc64le"
typing_extensions >= 4.10
filelock >= 3.16.1 # need to contain https://github.com/tox-dev/filelock/pull/317
filelock >= 3.29.1 # need to contain https://github.com/tox-dev/filelock/pull/317
partial-json-parser # used for parsing partial JSON outputs
pyzmq >= 25.0.0
msgspec
@@ -52,7 +52,7 @@ openai-harmony >= 0.0.3 # Required for gpt-oss
anthropic >= 0.71.0
model-hosting-container-standards >= 0.1.14, < 1.0.0
mcp
opentelemetry-sdk >= 1.27.0
opentelemetry-api >= 1.27.0
opentelemetry-sdk >= 1.42.1
opentelemetry-api >= 1.42.1
opentelemetry-exporter-otlp >= 1.27.0
opentelemetry-semantic-conventions-ai >= 0.4.1
requirements/rocm.txt
+5 -5
View File
@@ -2,8 +2,8 @@
-r common.txt
# The version of gRPC libraries should be consistent with each other
grpcio==1.78.0
grpcio-reflection==1.78.0
grpcio==1.81.0
grpcio-reflection==1.81.0
numba == 0.65.0 # Required for N-gram speculative decoding
@@ -11,13 +11,13 @@ numba == 0.65.0 # Required for N-gram speculative decoding
datasets
peft
pytest-asyncio
tensorizer==2.10.1
tensorizer==2.12.1
packaging>=24.2
setuptools>=77.0.3,<80.0.0
setuptools-scm>=8
setuptools-rust>=1.9.0
runai-model-streamer[s3,gcs,azure]==0.15.7
conch-triton-kernels==1.2.1
runai-model-streamer[s3,gcs,azure]==0.16.0
conch-triton-kernels==1.3
timm>=1.0.17
# amd-quark: required for Quark quantization on ROCm
# To be consistent with test_quark.py
requirements/test/cuda.txt
+145 -145
View File
@@ -1,12 +1,12 @@
# This file was autogenerated by uv via the following command:
# 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
absl-py==2.1.0
absl-py==2.4.0
# via rouge-score
accelerate==1.13.0
# via peft
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.13.3
aiohttp==3.14.0
# via
# -c requirements/common.txt
# aiohttp-cors
@@ -21,21 +21,21 @@ aiosignal==1.4.0
# via aiohttp
albumentations==1.4.6
# via -r requirements/test/cuda.in
alembic==1.16.4
alembic==1.18.4
# via optuna
annotated-doc==0.0.4
# via fastapi
annotated-types==0.7.0
# via pydantic
anyio==4.6.2.post1
anyio==4.13.0
# via
# httpx
# starlette
arctic-inference==0.1.1
# via -r requirements/test/cuda.in
argcomplete==3.5.1
argcomplete==3.6.3
# via datamodel-code-generator
arrow==1.3.0
arrow==1.4.0
# via isoduration
attrs==24.2.0
# via
@@ -44,17 +44,17 @@ attrs==24.2.0
# jsonschema
# pytest-subtests
# referencing
audioread==3.0.1
audioread==3.1.0
# via librosa
av==16.1.0
# via -r requirements/test/cuda.in
azure-core==1.38.2
azure-core==1.41.0
# via
# azure-identity
# azure-storage-blob
azure-identity==1.25.2
# via runai-model-streamer-azure
azure-storage-blob==12.28.0
azure-storage-blob==12.29.0
# via runai-model-streamer-azure
backoff==2.2.1
# via
@@ -64,15 +64,15 @@ bitsandbytes==0.49.2
# via -r requirements/test/cuda.in
black==24.10.0
# via datamodel-code-generator
blobfile==3.0.0
blobfile==3.2.0
# via -r requirements/test/cuda.in
bm25s==0.2.13
bm25s==0.3.9
# via mteb
boto3==1.35.57
boto3==1.43.23
# via
# runai-model-streamer-s3
# tensorizer
botocore==1.35.57
botocore==1.43.23
# via
# boto3
# s3transfer
@@ -97,7 +97,7 @@ charset-normalizer==3.4.0
# via requests
chz==0.3.0
# via gpt-oss
click==8.1.7
click==8.4.1
# via
# black
# jiwer
@@ -117,9 +117,9 @@ colorlog==6.10.1
# via optuna
contourpy==1.3.0
# via matplotlib
coverage==7.10.6
coverage==7.14.1
# via pytest-cov
cramjam==2.9.0
cramjam==2.11.0
# via fastparquet
cryptography==46.0.5
# via
@@ -127,19 +127,19 @@ cryptography==46.0.5
# azure-storage-blob
# msal
# pyjwt
cuda-bindings==13.0.3
cuda-bindings==13.3.1
# via torch
cuda-pathfinder==1.3.3
cuda-pathfinder==1.5.5
# via cuda-bindings
cuda-toolkit==13.0.2
cuda-toolkit==13.3.0
# via torch
cupy-cuda12x==13.6.0
# via ray
cycler==0.12.1
# via matplotlib
datamodel-code-generator==0.26.3
datamodel-code-generator==0.60.0
# via -r requirements/test/cuda.in
dataproperty==1.0.1
dataproperty==1.1.1
# via
# pytablewriter
# tabledata
@@ -149,19 +149,19 @@ datasets==3.3.0
# evaluate
# lm-eval
# mteb
decorator==5.1.1
decorator==5.3.1
# via librosa
decord==0.6.0
# via -r requirements/test/cuda.in
dill==0.3.8
dill==0.4.1
# via
# datasets
# evaluate
# lm-eval
# multiprocess
distlib==0.3.9
distlib==0.4.1
# via virtualenv
dnspython==2.7.0
dnspython==2.8.0
# via email-validator
docker==7.1.0
# via gpt-oss
@@ -173,9 +173,9 @@ einops==0.8.1
# encodec
# vector-quantize-pytorch
# vocos
einx==0.3.0
einx==0.4.3
# via vector-quantize-pytorch
email-validator==2.2.0
email-validator==2.3.0
# via pydantic
encodec==0.1.1
# via vocos
@@ -183,7 +183,7 @@ et-xmlfile==2.0.0
# via openpyxl
evaluate==0.4.3
# via lm-eval
fastapi==0.128.0
fastapi==0.136.3
# via
# -c requirements/common.txt
# gpt-oss
@@ -195,7 +195,7 @@ fastsafetensors==0.3.2
# via
# -c requirements/cuda.txt
# -r requirements/test/cuda.in
filelock==3.16.1
filelock==3.29.1
# via
# -c requirements/common.txt
# blobfile
@@ -204,13 +204,13 @@ filelock==3.16.1
# ray
# torch
# virtualenv
fonttools==4.55.0
fonttools==4.63.0
# via matplotlib
fqdn==1.5.1
# via jsonschema
frozendict==2.4.6
# via einx
frozenlist==1.5.0
frozenlist==1.8.0
# via
# aiohttp
# aiosignal
@@ -227,53 +227,53 @@ 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
google-api-core==2.31.0
# via
# google-cloud-core
# google-cloud-storage
# opencensus
google-auth==2.40.2
google-auth==2.53.0
# via
# google-api-core
# google-cloud-core
# google-cloud-storage
# runai-model-streamer-gcs
google-cloud-core==2.4.3
google-cloud-core==2.6.0
# via google-cloud-storage
google-cloud-storage==3.4.0
google-cloud-storage==3.11.0
# via runai-model-streamer-gcs
google-crc32c==1.7.1
google-crc32c==1.8.0
# via
# google-cloud-storage
# google-resumable-media
google-resumable-media==2.7.2
google-resumable-media==2.10.0
# via google-cloud-storage
googleapis-common-protos==1.70.0
googleapis-common-protos==1.75.0
# via google-api-core
gpt-oss==0.0.8
# via -r requirements/test/cuda.in
graphql-core==3.2.6
# via hypothesis-graphql
greenlet==3.2.3
greenlet==3.5.1
# via sqlalchemy
grpcio==1.78.0
grpcio==1.81.0
# via
# -r requirements/test/cuda.in
# grpcio-reflection
# ray
grpcio-reflection==1.78.0
grpcio-reflection==1.81.0
# via -r requirements/test/cuda.in
h11==0.14.0
h11==0.16.0
# via
# httpcore
# uvicorn
h2==4.3.0
# via httpx
harfile==0.3.0
harfile==0.5.0
# via schemathesis
hf-xet==1.4.3
hf-xet==1.5.0
# via huggingface-hub
hiredis==3.0.0
hiredis==3.4.0
# via tensorizer
hpack==4.1.0
# via h2
@@ -281,13 +281,13 @@ html2text==2025.4.15
# via gpt-oss
httpcore==1.0.6
# via httpx
httpx==0.27.2
httpx==0.28.1
# via
# -r requirements/test/cuda.in
# huggingface-hub
# perceptron
# schemathesis
huggingface-hub==1.10.2
huggingface-hub==1.18.0
# via
# accelerate
# datasets
@@ -300,20 +300,20 @@ huggingface-hub==1.10.2
# tokenizers
# transformers
# vocos
humanize==4.11.0
humanize==4.15.0
# via runai-model-streamer
hyperframe==6.1.0
# via h2
hypothesis==6.131.0
hypothesis==6.155.2
# via
# hypothesis-graphql
# hypothesis-jsonschema
# schemathesis
hypothesis-graphql==0.11.1
hypothesis-graphql==0.13.0
# via schemathesis
hypothesis-jsonschema==0.23.1
# via schemathesis
idna==3.10
idna==3.18
# via
# anyio
# email-validator
@@ -329,7 +329,7 @@ importlib-metadata==8.7.0
# via opentelemetry-api
inflect==5.6.2
# via datamodel-code-generator
iniconfig==2.0.0
iniconfig==2.3.0
# via pytest
instanttensor==0.1.5
# via -r requirements/test/cuda.in
@@ -347,18 +347,18 @@ jinja2==3.1.6
# torch
jiwer==3.0.5
# via -r requirements/test/cuda.in
jmespath==1.0.1
jmespath==1.1.0
# via
# boto3
# botocore
joblib==1.4.2
joblib==1.5.3
# via
# librosa
# nltk
# scikit-learn
jsonpointer==3.0.0
jsonpointer==3.1.1
# via jsonschema
jsonschema==4.23.0
jsonschema==4.26.0
# via
# hypothesis-jsonschema
# mistral-common
@@ -372,15 +372,15 @@ kaldi-native-fbank==1.22.3
# via -r requirements/test/cuda.in
kaleido==0.2.1
# via genai-perf
kiwisolver==1.4.7
kiwisolver==1.5.0
# via matplotlib
lazy-loader==0.4
lazy-loader==0.5
# via
# librosa
# scikit-image
libnacl==2.1.0
# via tensorizer
librosa==0.10.2.post1
librosa==0.11.0
# via -r requirements/test/cuda.in
llvmlite==0.47.0
# via numba
@@ -400,7 +400,7 @@ markupsafe==3.0.1
# jinja2
# mako
# werkzeug
matplotlib==3.9.2
matplotlib==3.10.9
# via -r requirements/test/cuda.in
mbstrdecoder==1.1.3
# via
@@ -415,9 +415,9 @@ mistral-common==1.11.3
# -r requirements/test/cuda.in
more-itertools==10.5.0
# via lm-eval
mpmath==1.3.0
mpmath==1.4.1
# via sympy
msal==1.34.0
msal==1.37.0
# via
# azure-identity
# msal-extensions
@@ -427,9 +427,9 @@ msgpack==1.1.0
# via
# librosa
# ray
mteb==2.8.3
mteb==2.12.30
# via -r requirements/test/cuda.in
multidict==6.1.0
multidict==6.7.1
# via
# aiohttp
# yarl
@@ -437,9 +437,9 @@ multiprocess==0.70.16
# via
# datasets
# evaluate
mypy-extensions==1.0.0
mypy-extensions==1.1.0
# via black
networkx==3.2.1
networkx==3.4.2
# via
# scikit-image
# torch
@@ -498,44 +498,44 @@ numpy==2.2.6
# transformers
# tritonclient
# vocos
nvidia-cublas==13.1.0.3
nvidia-cublas==13.5.1.27
# via
# cuda-toolkit
# nvidia-cudnn-cu13
# nvidia-cusolver
nvidia-cuda-cupti==13.0.85
nvidia-cuda-cupti==13.3.35
# via cuda-toolkit
nvidia-cuda-nvrtc==13.0.88
nvidia-cuda-nvrtc==13.3.33
# via cuda-toolkit
nvidia-cuda-runtime==13.0.96
nvidia-cuda-runtime==13.3.29
# via cuda-toolkit
nvidia-cudnn-cu13==9.19.0.56
nvidia-cudnn-cu13==9.23.0.39
# via torch
nvidia-cufft==12.0.0.61
nvidia-cufft==12.3.0.29
# via cuda-toolkit
nvidia-cufile==1.15.1.6
nvidia-cufile==1.18.0.66
# via cuda-toolkit
nvidia-curand==10.4.0.35
# via cuda-toolkit
nvidia-cusolver==12.0.4.66
nvidia-cusolver==12.2.2.18
# via cuda-toolkit
nvidia-cusparse==12.6.3.3
nvidia-cusparse==12.8.1.7
# via
# cuda-toolkit
# nvidia-cusolver
nvidia-cusparselt-cu13==0.8.0
nvidia-cusparselt-cu13==0.9.1
# via torch
nvidia-nccl-cu13==2.28.9
nvidia-nccl-cu13==2.30.4
# via torch
nvidia-nvjitlink==13.0.88
nvidia-nvjitlink==13.3.33
# via
# cuda-toolkit
# nvidia-cufft
# nvidia-cusolver
# nvidia-cusparse
nvidia-nvshmem-cu13==3.4.5
nvidia-nvshmem-cu13==3.6.5
# via torch
nvidia-nvtx==13.0.85
nvidia-nvtx==13.3.29
# via cuda-toolkit
open-clip-torch==2.32.0
# via -r requirements/test/cuda.in
@@ -555,22 +555,22 @@ opencv-python-headless==4.13.0.90
# mistral-common
openpyxl==3.1.5
# via -r requirements/test/cuda.in
opentelemetry-api==1.35.0
opentelemetry-api==1.42.1
# via
# -c requirements/common.txt
# opentelemetry-exporter-prometheus
# opentelemetry-sdk
# opentelemetry-semantic-conventions
opentelemetry-exporter-prometheus==0.56b0
opentelemetry-exporter-prometheus==0.63b1
# via ray
opentelemetry-proto==1.35.0
opentelemetry-proto==1.42.1
# via ray
opentelemetry-sdk==1.35.0
opentelemetry-sdk==1.42.1
# via
# -c requirements/common.txt
# opentelemetry-exporter-prometheus
# ray
opentelemetry-semantic-conventions==0.56b0
opentelemetry-semantic-conventions==0.63b1
# via opentelemetry-sdk
optuna==3.6.1
# via genai-perf
@@ -608,13 +608,13 @@ pandas==2.2.3
# statsmodels
pathspec==0.12.1
# via black
pathvalidate==3.2.1
pathvalidate==3.3.1
# via pytablewriter
patsy==1.0.1
# via statsmodels
peft==0.18.1
peft==0.19.1
# via -r requirements/test/cuda.in
perceptron==0.1.4
perceptron==0.3.5
# via -r requirements/test/cuda.in
perf-analyzer==0.1.0
# via genai-perf
@@ -629,7 +629,7 @@ pillow==10.4.0
# scikit-image
# segmentation-models-pytorch
# torchvision
platformdirs==4.3.6
platformdirs==4.10.0
# via
# black
# pooch
@@ -638,28 +638,28 @@ plotly==5.24.1
# via
# -r requirements/test/cuda.in
# genai-perf
pluggy==1.5.0
pluggy==1.6.0
# via
# pytest
# pytest-cov
polars==1.29.0
polars==1.41.2
# via mteb
pooch==1.8.2
pooch==1.9.0
# via librosa
portalocker==2.10.1
# via sacrebleu
pqdm==0.2.0
# via -r requirements/test/cuda.in
prometheus-client==0.22.0
prometheus-client==0.25.0
# via
# -c requirements/common.txt
# opentelemetry-exporter-prometheus
# ray
propcache==0.2.0
propcache==0.5.2
# via
# aiohttp
# yarl
proto-plus==1.26.1
proto-plus==1.28.0
# via google-api-core
protobuf==6.33.6
# via
@@ -694,9 +694,9 @@ pycountry==24.6.1
# via pydantic-extra-types
pycparser==2.22
# via cffi
pycryptodomex==3.22.0
pycryptodomex==3.23.0
# via blobfile
pydantic==2.12.0
pydantic==2.13.4
# via
# -c requirements/common.txt
# -r requirements/test/cuda.in
@@ -709,19 +709,19 @@ pydantic==2.12.0
# openai-harmony
# pydantic-extra-types
# ray
pydantic-core==2.41.1
pydantic-core==2.47.0
# via pydantic
pydantic-extra-types==2.10.5
pydantic-extra-types==2.11.1
# via mistral-common
pygments==2.18.0
pygments==2.20.0
# via rich
pyjwt==2.11.0
pyjwt==2.13.0
# via msal
pyparsing==3.2.0
pyparsing==3.3.2
# via matplotlib
pyrate-limiter==3.7.0
# via schemathesis
pystemmer==3.0.0
pystemmer==3.1.0
# via mteb
pytablewriter==1.2.0
# via lm-eval
@@ -745,15 +745,15 @@ 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
pytest-mock==3.15.1
# 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-subtests==0.14.1
pytest-subtests==0.15.0
# via schemathesis
pytest-timeout==2.3.1
pytest-timeout==2.4.0
# via -r requirements/test/cuda.in
python-dateutil==2.9.0.post0
# via
@@ -762,7 +762,7 @@ python-dateutil==2.9.0.post0
# matplotlib
# pandas
# typepy
python-rapidjson==1.20
python-rapidjson==1.23
# via tritonclient
pytrec-eval-terrier==0.5.7
# via mteb
@@ -788,24 +788,24 @@ pyyaml==6.0.2
# timm
# transformers
# vocos
rapidfuzz==3.12.1
rapidfuzz==3.14.5
# via jiwer
ray==2.48.0
# via -r requirements/test/cuda.in
redis==5.2.0
# via tensorizer
referencing==0.35.1
referencing==0.37.0
# via
# jsonschema
# jsonschema-specifications
regex==2026.2.28
regex==2026.5.9
# via
# nltk
# open-clip-torch
# sacrebleu
# tiktoken
# transformers
requests==2.32.3
requests==2.34.2
# via
# -c requirements/common.txt
# azure-core
@@ -826,7 +826,7 @@ requests==2.32.3
# schemathesis
# starlette-testclient
# tiktoken
responses==0.25.3
responses==0.26.1
# via genai-perf
rfc3339-validator==0.1.4
# via jsonschema
@@ -846,17 +846,17 @@ rpds-py==0.20.1
# referencing
rsa==4.9.1
# via google-auth
runai-model-streamer==0.15.7
runai-model-streamer==0.16.0
# via -r requirements/test/cuda.in
runai-model-streamer-azure==0.15.7
runai-model-streamer-azure==0.16.0
# via runai-model-streamer
runai-model-streamer-gcs==0.15.7
runai-model-streamer-gcs==0.16.0
# via runai-model-streamer
runai-model-streamer-s3==0.15.7
runai-model-streamer-s3==0.16.0
# via runai-model-streamer
s3transfer==0.10.3
s3transfer==0.18.0
# via boto3
sacrebleu==2.4.3
sacrebleu==2.6.0
# via lm-eval
safetensors==0.7.0
# via
@@ -871,14 +871,14 @@ schemathesis==3.39.15
# via -r requirements/test/cuda.in
scikit-image==0.25.2
# via albumentations
scikit-learn==1.5.2
scikit-learn==1.7.2
# via
# albumentations
# librosa
# lm-eval
# mteb
# sentence-transformers
scipy==1.13.1
scipy==1.15.3
# via
# albumentations
# bm25s
@@ -892,7 +892,7 @@ scipy==1.13.1
# vocos
segmentation-models-pytorch==0.5.0
# via -r requirements/test/cuda.in
sentence-transformers==5.2.0
sentence-transformers==5.5.1
# via
# -r requirements/test/cuda.in
# mteb
@@ -905,7 +905,7 @@ shellingham==1.5.4
# via
# perceptron
# typer
six==1.16.0
six==1.17.0
# via
# -c requirements/common.txt
# junit-xml
@@ -913,7 +913,7 @@ six==1.16.0
# python-dateutil
# rfc3339-validator
# rouge-score
smart-open==7.1.0
smart-open==7.6.1
# via ray
sniffio==1.3.1
# via
@@ -921,7 +921,7 @@ sniffio==1.3.1
# httpx
sortedcontainers==2.4.0
# via hypothesis
soundfile==0.12.1
soundfile==0.13.1
# via
# -r requirements/test/cuda.in
# genai-perf
@@ -946,17 +946,17 @@ starlette-testclient==0.4.1
# via schemathesis
statsmodels==0.14.4
# via genai-perf
structlog==25.4.0
structlog==25.5.0
# via gpt-oss
sympy==1.13.3
sympy==1.14.0
# via
# einx
# torch
tabledata==1.3.3
# via pytablewriter
tabulate==0.9.0
tabulate==0.10.0
# via sacrebleu
tblib==3.1.0
tblib==3.2.2
# via -r requirements/test/cuda.in
tcolorpy==0.1.6
# via pytablewriter
@@ -965,15 +965,15 @@ tenacity==9.1.2
# gpt-oss
# lm-eval
# plotly
tensorizer==2.10.1
tensorizer==2.12.1
# via -r requirements/test/cuda.in
termcolor==3.1.0
termcolor==3.3.0
# via gpt-oss
threadpoolctl==3.5.0
threadpoolctl==3.6.0
# via scikit-learn
tifffile==2025.3.30
# via scikit-image
tiktoken==0.12.0
tiktoken==0.13.0
# via
# -c requirements/common.txt
# gpt-oss
@@ -984,12 +984,12 @@ timm==1.0.17
# -r requirements/test/cuda.in
# open-clip-torch
# segmentation-models-pytorch
tokenizers==0.22.2
tokenizers==0.23.1
# via
# -c requirements/common.txt
# -r requirements/test/cuda.in
# transformers
tomli==2.2.1
tomli==2.4.1
# via schemathesis
tomli-w==1.2.0
# via schemathesis
@@ -1025,7 +1025,7 @@ torchvision==0.26.0+cu130
# open-clip-torch
# segmentation-models-pytorch
# timm
tqdm==4.67.3
tqdm==4.68.0
# via
# datasets
# evaluate
@@ -1040,7 +1040,7 @@ tqdm==4.67.3
# segmentation-models-pytorch
# sentence-transformers
# transformers
transformers==5.5.3
transformers==5.10.2
# via
# -c requirements/common.txt
# -r requirements/test/cuda.in
@@ -1050,16 +1050,16 @@ transformers==5.5.3
# transformers-stream-generator
transformers-stream-generator==0.0.5
# via -r requirements/test/cuda.in
triton==3.6.0
triton==3.7.0
# via torch
tritonclient==2.64.0
tritonclient==2.69.0
# via -r requirements/test/cuda.in
typepy==1.3.2
# via
# dataproperty
# pytablewriter
# tabledata
typer==0.15.2
typer==0.26.7
# via
# fastsafetensors
# huggingface-hub
@@ -1103,7 +1103,7 @@ tzdata==2024.2
# via pandas
uri-template==1.3.0
# via jsonschema
urllib3==2.2.3
urllib3==2.7.0
# via
# blobfile
# botocore
@@ -1111,15 +1111,15 @@ urllib3==2.2.3
# requests
# responses
# tritonclient
uvicorn==0.35.0
uvicorn==0.49.0
# via gpt-oss
vector-quantize-pytorch==1.21.2
vector-quantize-pytorch==1.29.1
# via -r requirements/test/cuda.in
virtualenv==20.31.2
# via ray
vocos==0.1.0
# via -r requirements/test/cuda.in
wcwidth==0.2.13
wcwidth==0.7.0
# via ftfy
webcolors==24.11.1
# via jsonschema
@@ -1129,11 +1129,11 @@ word2number==1.1
# via lm-eval
wrapt==1.17.2
# via smart-open
xxhash==3.5.0
xxhash==3.7.0
# via
# datasets
# evaluate
yarl==1.17.1
yarl==1.24.2
# via
# aiohttp
# schemathesis
setup.py
+3 -3
View File
@@ -1165,9 +1165,9 @@ setup(
install_requires=get_requirements(),
extras_require={
# AMD Zen CPU optimizations via zentorch
"zen": ["zentorch==2.11.0.0"],
"zen": ["zentorch==2.12.0.0"],
"bench": ["pandas", "matplotlib", "seaborn", "datasets", "scipy", "plotly"],
"tensorizer": ["tensorizer==2.10.1"],
"tensorizer": ["tensorizer==2.12.1"],
"fastsafetensors": ["fastsafetensors >= 0.3.2"],
"instanttensor": ["instanttensor >= 0.1.5"],
"runai": ["runai-model-streamer[s3,gcs,azure] >= 0.15.7"],
@@ -1183,7 +1183,7 @@ setup(
# NOTE: When updating helion version, also update CI files:
# - .buildkite/test_areas/kernels.yaml
# - .buildkite/test-amd.yaml
"helion": ["helion==1.0.0"],
"helion": ["helion==1.1.0"],
# Optional deps for gRPC server (vllm serve --grpc)
"grpc": ["smg-grpc-servicer[vllm] >= 0.5.2"],
# Optional deps for OpenTelemetry tracing