The algorithm and the evaluation templates could benefit from a .dockerignore file. This helps speed up local testing as the build context becomes too large if there's a big .tar.gz (from an exported container) or a .git folder with neural network weights committed through LFS.
The .dockerignore file could comprise the following for starters:
jmsmkn
commented
2 years ago
The
algorithmand theevaluationtemplates could benefit from a.dockerignorefile. This helps speed up local testing as the build context becomes too large if there's a big.tar.gz(from an exported container) or a.gitfolder with neural network weights committed through LFS.The
.dockerignorefile could comprise the following for starters: