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Rewrote and simplified requirements.txt to allow gpu usage. Also modi…
…fied specfile so tensorflow is able to find nvidia libraries in service venv.
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Pablo Rodríguez Flores
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May 21, 2024
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absl-py==1.4.0 | ||
astunparse==1.6.3 | ||
cachetools==5.3.1 | ||
certifi==2023.7.22 | ||
charset-normalizer==3.2.0 | ||
click==8.1.7 | ||
Flask==2.2.5 | ||
flatbuffers==23.5.26 | ||
gast==0.4.0 | ||
google-auth==2.23.0 | ||
google-auth-oauthlib>=0.5.0,<1.1 | ||
google-pasta==0.2.0 | ||
grpcio==1.58.0 | ||
h5py==3.8.0 | ||
idna==3.7 | ||
importlib-metadata==6.7.0 | ||
itsdangerous==2.1.2 | ||
Jinja2==3.1.4 | ||
joblib==1.3.2 | ||
keras<2.16,>=2.15.0 | ||
ml-dtypes~=0.2.0 | ||
libclang==16.0.6 | ||
Markdown==3.4.4 | ||
MarkupSafe==2.1.3 | ||
numpy<2.0.0,>=1.23.5 | ||
oauthlib==3.2.2 | ||
opt-einsum==3.3.0 | ||
packaging==23.1 | ||
pandas==1.3.5 | ||
protobuf<4.21.0,>=3.20.3 | ||
pyasn1==0.5.0 | ||
pyasn1-modules==0.3.0 | ||
pylogrus==0.4.0 | ||
python-dateutil==2.8.2 | ||
pytz==2023.3.post1 | ||
requests==2.31.0 | ||
requests-oauthlib>=1.3.0,<1.4.0 | ||
rsa==4.9 | ||
scikit-learn>=1.1.3 | ||
scipy==1.10.0 | ||
six==1.16.0 | ||
tensorboard<2.16,>=2.15 | ||
tensorboard-data-server>=0.7,<0.8.0 | ||
tensorboard-plugin-wit==1.8.1 | ||
tensorflow==2.15.0 | ||
tensorflow-estimator<2.16,>=2.15.0 | ||
tensorflow-io-gcs-filesystem==0.34.0 | ||
termcolor==2.3.0 | ||
threadpoolctl==3.1.0 | ||
typing-extensions<4.6.0,>=3.6.6 | ||
urllib3==1.26.18 | ||
Werkzeug==3.0.3 | ||
wrapt<1.15,>=1.11.0 | ||
zipp==3.15.0 | ||
gunicorn==22.0.0 | ||
schedule==1.2.1 | ||
ntplib==0.4.0 | ||
boto3==1.28.64 | ||
s3transfer>=0.7.0, <0.8.0 | ||
jmespath>=0.7.1, <2.0.0 | ||
botocore>=1.31.64, <1.32.0 | ||
moto==4.2.6 | ||
cryptography>=3.3.1 | ||
xmltodict==0.13.0 | ||
responses>=0.13.0 | ||
cffi>=1.12 | ||
types-PyYAML==6.0.12.12 | ||
pyyaml==6.0.1 | ||
pycparser==2.21 | ||
rq==1.15.1 | ||
redis>=4.0.0 | ||
async-timeout>=4.0.2 | ||
ntp==1.0.0a1 | ||
croniter==2.0.1 | ||
boto3~=1.28.64 | ||
croniter~=2.0.1 | ||
Flask~=2.2.5 | ||
gunicorn~=21.2.0 | ||
moto~=4.2.6 | ||
numpy~=1.26.4 | ||
pandas~=1.3.5 | ||
pylogrus~=0.4.0 | ||
pytz~=2023.4 | ||
redis~=5.0.3 | ||
Requests~=2.32.1 | ||
scikit_learn~=1.4.1.post1 | ||
tensorflow[and-cuda]~=2.15.0 | ||
ntplib~=0.4.0 | ||
rq~=1.16.2 |
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#!/bin/bash | ||
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# Set the base directory for NVIDIA packages within the virtual environment using wildcard for Python version | ||
NVIDIA_PACKAGE_DIR="$(echo "$VIRTUAL_ENV")/lib/python*/site-packages/nvidia" | ||
echo $NVIDIA_PACKAGE_DIR | ||
# Export LD_LIBRARY_PATH for each lib directory found in the NVIDIA_PACKAGE_DIR | ||
for dir in $NVIDIA_PACKAGE_DIR/*; do | ||
if [ -d "$dir/lib" ]; then | ||
export LD_LIBRARY_PATH="$dir/lib:$LD_LIBRARY_PATH" | ||
fi | ||
done | ||
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