Seeder (implemented in the seeder sub-module) generates deterministic seeds to
reduce variance across training (and inference) runs. This reduces the number
of runs needed to catch regressions without changing the underlying algorithms
used (from nondeterministic to deterministic). It supports suspend/resume
functionality.
Seeder is an experimental feature.
pip install framework-reproducibility --upgrade
See the instructions specific to the framework you're using: