Skip to content

Numerical instability in log‑based loss functions #36

Description

@github-actions

File: leanpass/nn.py

Functions Tensor.log, cross_entropy_loss and binary_cross_entropy_loss compute np.log of probabilities that can be exactly zero, producing -inf or nan gradients. This is a common source of crashes during training.

Fix: clamp inputs with a small epsilon (e.g., eps = 1e-12) before taking the log, and document the behavior.

Label: enhancement

Filed automatically by ai-issue-scan.

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    enhancementNew feature or request

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions