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angeloskath avatar angeloskath commented on August 15, 2024 2

Thanks @Ghadjeres ! I think the simplest sanity check (if you can spare about 1GB of temporary space) is to do a clean conda installation. Following the pipeline that we use in our tests should be good enough.

conda install python=3.8
conda install -c pytorch pytorch=1.6
conda install -c conda-forge cudatoolkit-dev  # this takes some time
pip install pytorch-fast-transformers  # this also takes some time

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angeloskath avatar angeloskath commented on August 15, 2024

Hi, thanks for your good words!

The build seems to fail when calling ninja to compile the extension but I am not sure what the error might be. I would try to compile in a fresh conda environment. From our tests it seems that python 3.7 and PyTorch 1.5.0 should be fine.

Cheers,
Angelos

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Ghadjeres avatar Ghadjeres commented on August 15, 2024

Hi,

I had the exact same problem. In my case, this came from the fact that the LD_LIBRARY_PATH and PATH variables were pointing to the wrong cuda install.
Maybe checking these lines in your .bashrc can help:

export LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export PATH=/usr/local/cuda-11.0/bin${PATH:+:${PATH}}

I also reinstalled this CUDA version.

Hope this helps

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burcehan avatar burcehan commented on August 15, 2024

I follow the pipeline ,create a clean conda environment, and now I make a successful installation.
Thanks very much!

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