Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Explicit seeding for pyTorch #397

Open
kosmitive opened this issue Aug 9, 2023 · 0 comments
Open

Explicit seeding for pyTorch #397

kosmitive opened this issue Aug 9, 2023 · 0 comments
Labels
design-problem Problems with internal architecture

Comments

@kosmitive
Copy link
Contributor

kosmitive commented Aug 9, 2023

We should investigate, which method is best for defining explicit seeds for all PyTorch-related algorithms. The goal is to achieve

  1. to be reproducible.
  2. to have good stochastic properties.

This issue is related to #242 and #392, but we decided to postpone it due a different mechanism for random number generation in PyTorch.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
design-problem Problems with internal architecture
Projects
None yet
Development

No branches or pull requests

1 participant