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Requirements.txt - wrong versions #13
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(Ubuntu 20.04) Using |
I've got the same error when I'm installing requirements under python 3.10.13. |
I think this may be caused by the fact that jaxlib doesn't support Windows until version 0.4.13?(check here) I'm on Windows and tried several versions of Python, all failed at this step. Manually install higher version and delete jaxlib from |
This is my installation step in wsl2. You can trys this. I already create conda envrionment python==3.10.9 install required packageThis is following the guidence of the auothor,but you need install the following packages first # download from pypi
pip install /mnt/d/tmp/tfds_nightly-4.9.2.dev202308090034-py3-none-any.whl
pip install /mnt/d/tmp/seqio_nightly-0.0.17.dev20231013-py3-none-any.whl
# install from git directory
pip install --require-hashes -r requirements.txt
enalbe gpuinstall cuda in conda environmentThis is required for tensorflow and jax conda install cuda -c nvidia/label/cuda-11.8.0
conda install -c conda-forge cudnn=8.4.1
pip install nvidia-cudnn-cu11==8.6.0.163
export LD_LIBRARY_PATH export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/wlt2023/anaconda3/envs/alphageometry/lib:/home/wlt2023/anaconda3/envs/alphageometry/lib/python3.10/site-packages/nvidia/cudnn/lib
Then install install jaxlibFirst pip install jax==0.4.6 jaxlib==0.4.6 orbax-checkpoint
Then choose the correct jaxlib from https://storage.googleapis.com/jax-releases/jax_cuda_releases.html, and donwload the correct version of jaxlib pip install /mnt/d/tmp/jaxlib-0.4.6+cuda11.cudnn82-cp310-cp310-manylinux2014_x86_64.whl
runyou should add this to avoid matplotlib error export DISPLAY=:0 |
I have python 3.10.9 installed but in the requirements.txt files there are dependencies that require a different version of python. I am getting this error:
ERROR: Could not find a version that satisfies the requirement jaxlib==0.4.6 (from versions: 0.4.13, 0.4.14, 0.4.16, 0.4.17, 0.4.18, 0.4.19, 0.4.20, 0.4.21, 0.4.22, 0.4.23) ERROR: No matching distribution found for jaxlib==0.4.6
And if I change the version there are more wrong versions that trigger an error after that.
Should I use a different version of Python or manually configure the versions according to errors?
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