Comments (7)
Hey any luck? I'm experiencing the same thing
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Same problem with me, you got it working?
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No luck on my end š«
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No luck on my end š« , I ended up having trouble with running due to the specs on my machine in general, although one thing that seemed to help progress things a bit was trying to install these packages through pip instead
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Installing with pip is a possible option, have you considered conda update --all
? It could possibly work, Iām not sure.
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Installing with pip is a possible option, have you considered
conda update --all
? It could possibly work, Iām not sure.
Updating doesn't work as well, I tried that already
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Here's what initially worked for me:
pip install torch===1.4.0 torchvision===0.5.0 -f https://download.pytorch.org/whl/torch_stable.html
conda install cudatoolkit=10.0
However, this installs old versions of the torch libraries, which are incompatible with the latest Nvidia NCCL library, so you'll just get an error further down the road. What I ended up doing (which works) is I installed the latest libaries for everything. Taking the instructions in the main README, that would look something like:
# Required: Sampling
conda create --name jukebox python=3.11.8
conda activate jukebox
pip3 install mpi4py
pip3 install torch torchvision torchaudio
conda install cudatoolkit
git clone https://github.com/openai/jukebox.git
cd jukebox
pip install -r requirements.txt
pip install -e .
# Required: Training
conda install av -c conda-forge
pip install ./tensorboardX
Note I am not a AI/ML expert but do know my way around a terminal, and this worked. Perhaps I could have used conda/pip for everything, but that's just how I ended up doing things. Your results may vary.
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