Skip to content

docs: explain GradientDescent loop options#643

Open
Haihan-Jiang wants to merge 1 commit into
google:mainfrom
Haihan-Jiang:codex/jaxopt-gradient-descent-loop-docs
Open

docs: explain GradientDescent loop options#643
Haihan-Jiang wants to merge 1 commit into
google:mainfrom
Haihan-Jiang:codex/jaxopt-gradient-descent-loop-docs

Conversation

@Haihan-Jiang

Copy link
Copy Markdown

Summary

  • Clarifies GradientDescent documentation for jit and unroll.
  • Adds central implicit-differentiation docs explaining when unroll="auto" expands solver loops and the compile-time/memory tradeoff.

Fixes #165.

Testing

  • python3.12 -m compileall -q jaxopt/_src/gradient_descent.py
  • git diff --check

I did not run the full Sphinx docs build locally because docs/requirements.txt installs the full docs stack, including TensorFlow/Flax, and this change only updates RST/docstring text.

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

Labels

None yet

1 participant