Comments (4)
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
from fast-transformers.
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
from fast-transformers.
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
from fast-transformers.
I follow the pipeline ,create a clean conda environment, and now I make a successful installation.
Thanks very much!
from fast-transformers.
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