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CHANGELOG.md

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# CHANGELOG
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## v0.3.1 (2026-02-25)
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### Bug Fixes
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- **core**: Fix in-place op tracking, validation, and test stability
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([`326b8a9`](https://github.com/johnmarktaylor91/torchlens/commit/326b8a907a170f8c9e4c7ec16296faaecfa56d51))
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- Propagate tensor labels back to original tensor after in-place ops (__setitem__, zero_,
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__delitem__) so subsequent operations see updated labels - Add validation exemption for scalar
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__setitem__ assignments - Fix torch.Tensor → torch.tensor for correct special value detection -
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Remove xfail marker from test_varying_loop_noparam2 (now passes) - Add ruff lint ignores for
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pre-existing E721/F401 across codebase - Includes prior bug-blitz fixes across logging,
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postprocessing, cleanup, helper functions, visualization, and model tracing
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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## v0.3.0 (2026-02-25)
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### Chores

pyproject.toml

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[project]
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name = "torchlens"
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version = "0.3.0"
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version = "0.3.1"
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description = "A package for extracting activations from PyTorch models"
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readme = "README.md"
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license = "GPL-3.0-only"

torchlens/__init__.py

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""" Top level package: make the user-facing functions top-level, rest accessed as submodules.
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"""
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__version__ = "0.3.0"
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__version__ = "0.3.1"
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from .user_funcs import log_forward_pass, show_model_graph, get_model_metadata, validate_saved_activations, \
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validate_batch_of_models_and_inputs

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