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base repository: johnmarktaylor91/torchlens
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base: v0.20.5
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head repository: johnmarktaylor91/torchlens
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compare: v0.21.0
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  • 7 commits
  • 56 files changed
  • 3 contributors

Commits on Mar 9, 2026

  1. docs: update all CLAUDE.md files with deepdive session 4 findings 

    Sync all project and subpackage documentation with current codebase:
- Updated line counts across all 36 modules
- Added elk_layout.py documentation to visualization/
- Added arg_positions.py and salient_args.py to capture/
- Documented 13 new bugs (ELK-IF-THEN, BFLOAT16-TOL, etc.)
- Updated test counts (1,004 tests across 16 files)
- Added known bugs sections to validation/, utils/, decoration/
- Updated data_classes/ with new fields and properties

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
    @johnmarktaylor91 @claude
    johnmarktaylor91 and claude committed Mar 9, 2026
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  2. Merge pull request #129 from johnmarktaylor91/docs/update-claude-md-d… 

    …eepdive-s4
    @johnmarktaylor91
    johnmarktaylor91 authored Mar 9, 2026
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  3. fix(vis): pass heap limits to ELK Worker thread to prevent OOM on 1M … 

    …nodes

The Node.js Worker running ELK layout had no explicit maxOldGenerationSizeMb
in its resourceLimits — only stackSizeMb was set. The --max-old-space-size
flag controls the main thread's V8 isolate, not the Worker's. This caused
the Worker to OOM at ~16GB on 1M-node graphs despite the main thread being
configured for up to 64GB.

- Add maxOldGenerationSizeMb and maxYoungGenerationSizeMb to Worker
  resourceLimits, passed via _TL_HEAP_MB env var
- Add _available_memory_mb() to detect system RAM and cap heap allocation
  to (available - 4GB), preventing competition with Python process
- Include available system memory in OOM diagnostic messages

Also includes field/param renames from feat/grand-rename branch.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
    @johnmarktaylor91 @claude
    johnmarktaylor91 and claude committed Mar 9, 2026
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  4. feat: rename all data structure fields and function args for clarity 

    Rename ~68 fields across all 8 data structures (ModelLog, LayerPassLog,
LayerLog, ParamLog, ModuleLog, BufferLog, ModulePassLog, FuncCallLocation)
plus user-facing function arguments. Key changes:

- tensor_contents → activation, grad_contents → gradient
- All *_fsize* → *_memory* (e.g. tensor_fsize → tensor_memory)
- func_applied_name → func_name, gradfunc → grad_fn_name
- is_bottom_level_submodule_output → is_leaf_module_output
- containing_module_origin → containing_module
- spouse_layers → co_parent_layers, orig_ancestors → root_ancestors
- model_is_recurrent → is_recurrent, elapsed_time_* → time_*
- vis_opt → vis_mode, save_only → vis_save_only
- Fix typo: output_descendents → output_descendants

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
    @johnmarktaylor91 @claude
    johnmarktaylor91 and claude committed Mar 9, 2026
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  5. fix(capture): fix mypy type errors in output_tensors field dict 

    Annotate fields_dict as Dict[str, Any] and extract param_shapes
with proper type to satisfy mypy strict inference.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
    @johnmarktaylor91 @claude
    johnmarktaylor91 and claude committed Mar 9, 2026
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  6. Merge pull request #130 from johnmarktaylor91/feat/grand-rename

    @johnmarktaylor91
    johnmarktaylor91 authored Mar 9, 2026
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  7. chore(release): 0.21.0

    semantic-release committed Mar 9, 2026
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