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Run:ai model streamer add GCS package support (#24909)

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Signed-off-by: Peter Schuurman <psch@google.com>
This commit is contained in:
pwschuurman
2025-10-01 20:59:13 -07:00
committed by GitHub
parent 169313b9f8
commit be22bb6f3d
6 changed files with 54 additions and 9 deletions
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2
requirements/nightly_torch_test.txt
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@ -43,6 +43,6 @@ tritonclient==2.51.0
numba == 0.60.0; python_version == '3.9' # v0.61 doesn't support Python 3.9. Required for N-gram speculative decoding
numba == 0.61.2; python_version > '3.9'
numpy
runai-model-streamer[s3]==0.14.0
runai-model-streamer[s3,gcs]==0.14.0
fastsafetensors>=0.1.10
pydantic>=2.10 # 2.9 leads to error on python 3.10

4
requirements/rocm.txt
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@ -13,6 +13,6 @@ tensorizer==2.10.1
packaging>=24.2
setuptools>=77.0.3,<80.0.0
setuptools-scm>=8
runai-model-streamer[s3]==0.14.0
runai-model-streamer[s3,gcs]==0.14.0
conch-triton-kernels==1.2.1
timm>=1.0.17
timm>=1.0.17

2
requirements/test.in
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@ -51,7 +51,7 @@ tritonclient==2.51.0
numba == 0.60.0; python_version == '3.9' # v0.61 doesn't support Python 3.9. Required for N-gram speculative decoding
numba == 0.61.2; python_version > '3.9'
numpy
runai-model-streamer[s3]==0.14.0
runai-model-streamer[s3,gcs]==0.14.0
fastsafetensors>=0.1.10
pydantic>=2.10 # 2.9 leads to error on python 3.10
decord==0.6.0

21
requirements/test.txt
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@ -251,11 +251,27 @@ gitdb==4.0.12
gitpython==3.1.44
# via mlflow-skinny
google-api-core==2.24.2
# via opencensus
# via
# google-cloud-core
# google-cloud-storage
# opencensus
google-auth==2.40.2
# via
# databricks-sdk
# 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
graphene==3.4.3
@ -890,6 +906,7 @@ requests==2.32.3
# docker
# evaluate
# google-api-core
# google-cloud-storage
# huggingface-hub
# lightly
# lm-eval
@ -929,6 +946,8 @@ rtree==1.4.0
# via torchgeo
runai-model-streamer==0.14.0
# via -r requirements/test.in
runai-model-streamer-gcs==0.14.0
# via runai-model-streamer
runai-model-streamer-s3==0.14.0
# via runai-model-streamer
s3transfer==0.10.3