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requirements.txt
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requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile requirements.in
#
absl-py==2.1.0
# via
# tensorboard
# tensorflow
astunparse==1.6.3
# via tensorflow
cachetools==5.3.2
# via google-auth
certifi==2024.2.2
# via requests
charset-normalizer==3.3.2
# via requests
contourpy==1.2.0
# via matplotlib
cycler==0.12.1
# via matplotlib
filelock==3.13.1
# via
# torch
# triton
flatbuffers==23.5.26
# via tensorflow
fonttools==4.49.0
# via matplotlib
fsspec==2024.2.0
# via torch
gast==0.4.0
# via tensorflow
google-auth==2.28.0
# via
# google-auth-oauthlib
# tensorboard
google-auth-oauthlib==1.0.0
# via tensorboard
google-pasta==0.2.0
# via tensorflow
grpcio==1.60.1
# via
# tensorboard
# tensorflow
h5py==3.10.0
# via tensorflow
idna==3.6
# via requests
idx2numpy==1.2.3
# via -r requirements.in
jinja2==3.1.3
# via torch
joblib==1.3.2
# via scikit-learn
keras==2.13.1
# via tensorflow
kiwisolver==1.4.5
# via matplotlib
libclang==16.0.6
# via tensorflow
markdown==3.5.2
# via tensorboard
markupsafe==2.1.5
# via
# jinja2
# werkzeug
matplotlib==3.8.3
# via -r requirements.in
mpmath==1.3.0
# via sympy
networkx==3.2.1
# via torch
numpy==1.24.3
# via
# -r requirements.in
# contourpy
# h5py
# idx2numpy
# matplotlib
# opt-einsum
# pandas
# scikit-learn
# scipy
# tensorboard
# tensorflow
# torchvision
nvidia-cublas-cu12==12.1.3.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==8.9.2.26
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.18.1
# via torch
nvidia-nvjitlink-cu12==12.3.101
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
oauthlib==3.2.2
# via requests-oauthlib
opt-einsum==3.3.0
# via tensorflow
packaging==23.2
# via
# matplotlib
# tensorflow
pandas==2.2.2
# via -r requirements.in
pillow==10.2.0
# via
# -r requirements.in
# matplotlib
# torchvision
protobuf==4.25.3
# via
# tensorboard
# tensorflow
pyasn1==0.5.1
# via
# pyasn1-modules
# rsa
pyasn1-modules==0.3.0
# via google-auth
pyparsing==3.1.1
# via matplotlib
python-dateutil==2.8.2
# via
# matplotlib
# pandas
pytz==2024.1
# via pandas
requests==2.31.0
# via
# requests-oauthlib
# tensorboard
# torchvision
requests-oauthlib==1.3.1
# via google-auth-oauthlib
rsa==4.9
# via google-auth
scikit-learn==1.4.1.post1
# via -r requirements.in
scipy==1.12.0
# via scikit-learn
six==1.16.0
# via
# astunparse
# google-pasta
# idx2numpy
# python-dateutil
# tensorflow
sympy==1.12
# via torch
tensorboard==2.13.0
# via tensorflow
tensorboard-data-server==0.7.2
# via tensorboard
tensorflow==2.13.0
# via -r requirements.in
tensorflow-estimator==2.13.0
# via tensorflow
tensorflow-io-gcs-filesystem==0.36.0
# via tensorflow
termcolor==2.4.0
# via tensorflow
threadpoolctl==3.3.0
# via scikit-learn
torch==2.1.0
# via
# -r requirements.in
# torchaudio
# torchvision
torchaudio==2.1.0
# via -r requirements.in
torchvision==0.16.0
# via -r requirements.in
triton==2.1.0
# via torch
typing-extensions==4.5.0
# via
# tensorflow
# torch
tzdata==2024.1
# via pandas
urllib3==2.2.0
# via requests
werkzeug==3.0.1
# via tensorboard
wheel==0.42.0
# via
# astunparse
# tensorboard
wrapt==1.16.0
# via tensorflow
# The following packages are considered to be unsafe in a requirements file:
# setuptools