docs: point-source gradient probe status flip (phase 5 of #657) - #123
Merged
Conversation
…jvp (phase 5 of #657) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Phase-5 companion (#657; library PR linked below): the point-source gradient probe's documented all-zeros finding flips on the production path. The probe prose now records the implicit-diff
custom_jvpand the expected per-row pattern: steps 1–3 (hand-built closures over raw arrays) remain all-zero BY DESIGN — they bypass model registration and exercise the compatibility gate's unregistered fallback — while the fullFitness.callpipeline is PASS with non-zero gradients (measured: grad norm 17096). The regression guard is the full-pipeline row; a flip of that row back to all-zero means the implicit rule was disconnected. Also points at the workspace_test staircase-aware FD certification.Scripts Changed
jax_profiling/gradient/point_source/image_plane.py— "Finding" docstring section rewritten for the phase-5 status flip (expected per-step pattern + inverted full-pipeline guard); no code changes.Upstream PR
PyAutoLabs/PyAutoLens#677
Test Plan
Generated by the PyAutoLabs agent workflow.