A Runnable Dependency and Package Setting

[iamtonymwt]

Hey guys, I found a stable environment that could run this code base. Here are my settings.

System: WSL2 Ubuntu 22.04
GPU: NVIDIA A6000; NVIDIA-SMI 550.54.10; Driver Version: 551.61; CUDA Version: 12.4
Local: Cuda toolkit: release 12.1, V12.1.66
Python: 3.7.12

PIP List:
absl-py==0.10.0
astunparse==1.6.3
attrs==24.2.0
backcall==0.2.0
beautifulsoup4==4.12.3
cachetools==4.2.4
certifi==2024.8.30
charset-normalizer==3.4.0
cloudpickle==2.2.1
contextlib2==21.6.0
cycler==0.11.0
debugpy==1.6.3
decorator==5.1.1
dill==0.3.7
dm-tree==0.1.8
entrypoints==0.4
et-xmlfile==1.1.0
etils==0.9.0
filelock==3.12.2
flatbuffers==1.12
fonttools==4.38.0
future==1.0.0
gast==0.3.3
gdown==4.7.3
google-auth==1.35.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
googleapis-common-protos==1.65.0
grpcio==1.32.0
h5py==2.10.0
idna==3.10
importlib-metadata==6.7.0
importlib-resources==5.12.0
ipykernel==6.16.2
ipython==7.33.0
jax==0.3.25
jedi==0.19.1
joblib==1.3.2
jupyter_client==7.4.9
jupyter_core==4.11.1
Keras-Preprocessing==1.1.2
kiwisolver==1.4.5
Markdown==3.4.4
MarkupSafe==2.1.5
matplotlib==3.5.3
matplotlip==0.2
ml-collections==0.1.0
nest_asyncio==1.6.0
ninja==1.11.1.1
nvidia-cublas-cu11==11.10.3.66
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cudnn-cu11==8.5.0.96
oauthlib==3.2.2
openpyxl==3.1.3
opt-einsum==3.3.0
packaging==23.2
pandas==1.3.5
parso==0.8.4
pexpect==4.9.0
pickleshare==0.7.5
Pillow==9.5.0
pip==24.0
promise==2.3
prompt_toolkit==3.0.48
protobuf==3.20.3
psutil==5.9.3
ptyprocess==0.7.0
pyasn1==0.5.1
pyasn1-modules==0.3.0
Pygments==2.17.2
pyparsing==3.1.4
PySocks==1.7.1
python-dateutil==2.9.0
pytz==2024.2
PyYAML==6.0.1
pyzmq==23.2.0
requests==2.31.0
requests-oauthlib==2.0.0
rsa==4.9
scikit-learn==1.0.2
scipy==1.7.3
seaborn==0.12.2
setuptools==69.0.3
six==1.15.0
soupsieve==2.4.1
tensorboard==2.4.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.4.0
tensorflow-addons==0.12.0
tensorflow-datasets==3.1.0
tensorflow-estimator==2.4.0
tensorflow-gan==2.0.0
tensorflow-hub==0.16.0
tensorflow-io==0.34.0
tensorflow-io-gcs-filesystem==0.34.0
tensorflow-metadata==1.12.0
tensorflow-probability==0.12.2
termcolor==1.1.0
threadpoolctl==3.1.0
torch==1.13.1
torch-tb-profiler==0.4.3
torchvision==0.14.1
tornado==6.2
tqdm==4.67.0
traitlets==5.9.0
typeguard==2.13.3
typing-extensions==3.7.4.3
urllib3==2.0.7
wcwidth==0.2.10
Werkzeug==2.2.3
wheel==0.42.0
wrapt==1.12.1
zipp==3.15.0

After that. run:
pip install jaxlib==0.3.25 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.htm

Although there are some conflicts, but could run the code base successfully.

[AlexSm1248]

Hi iamtonymwt thank you so much for the suggestion, by any chance do you happen to have the numpy version that works for you? I am asking because that seems to be one of the issues for me.

Also "nvidia-cudnn-cu11==8.5.0.96" gives an error, "Could not find a version that satisfies the requirement nvidia-cudnn-cu11==8.5.0.96"

Thank you,
Alex

[bhupender-kaushal]

Hey, but how did you install cuda toolkit 12.1 with torch 1.13 is that supported ?