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Template repository for a Python 3-based (data) science project with GPU acceleration using the Fast.ai ecosystem.

License: BSD 3-Clause "New" or "Revised" License

Dockerfile 82.39% Shell 17.61%
data-science gpu-acceleration pytorch docker conda-environment deep-learning gpu scientific-computing scientific-research scientific-workflows

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fastai-gpu-data-science-project's Issues

Change the location of the environment file in the container

Currently environment.yml file is copied to /usr/tmp/ in the container. This creates problems when installing environments that included dependencies installed using pip (currently TensorFlow 2 must be installed using pip) as pip tries to write files into the directory in which the environment file lives.

Solution is to copy the environment.yml file into /tmp.

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