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fix WandbLoggerConfig include additional kwargs in pydantic schema - #3469
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Pull request overview
This PR updates the PyTorch pose-estimation W&B logger configuration and initialization flow so that commonly used wandb.init parameters (e.g., notes, tags, group) can be specified at the top level without failing strict Pydantic validation, and ensures nested wandb_kwargs are actually forwarded to wandb.init.
Changes:
- Extend
WandbLoggerConfig’s Pydantic schema with commonwandb.initparameters (entity,notes,tags,group,job_type) and clarify howwandb_kwargsshould be used. - Flatten a nested
wandb_kwargsmapping insideWandbLogger.__init__before callingwandb.init.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
deeplabcut/pose_estimation_pytorch/runners/logger.py |
Flattens nested wandb_kwargs before calling wandb.init; updates docstring. |
deeplabcut/pose_estimation_pytorch/config/logger.py |
Adds common W&B init fields to the Pydantic config schema and clarifies wandb_kwargs intent. |
Suppressed comments (1)
deeplabcut/pose_estimation_pytorch/runners/logger.py:297
- The new behavior that flattens nested
wandb_kwargs(and the precedence between nested vs. explicit kwargs) is not covered by tests. Adding a unit test that mockswandb.initand asserts the final kwargs passed would prevent regressions.
wandb_kwargs.update(wandb_kwargs.pop("wandb_kwargs", None) or {})
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introducing them here would break the schema (leading to internally inconsistent versions)
…options It scoops the options into wandb_kwargs. Options cannot be duplicated.
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🟡 Changes recommended
There are small but user-visible issues (notably an unformatted ValidationError message and a minor typo) that should be corrected before approval.
Once you've addressed the issues Copilot identified, you can request another Copilot review.
Review details
- Files reviewed: 3/3 changed files
- Comments generated: 2
- Review effort level: Lite
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C-Achard
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Just a few things worth checking, all good otherwise
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Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Cyril Achard <cyril.achard@epfl.ch>
|
@C-Achard, addressed your comments. Let me know if I missed anything. Thanks for the follow-up PR as well. Let's merge it separately |
|
Sounds good, thanks! |
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The Weights and Biases logger accepts a variety of extra arguments, such as
notes,tags, etc. These were mediated throughwandb_kwargswhich could be defined at top-level. However since the introduction of the stricter pydantic schemas these top-level arguments withextra="forbid"would raise aValidationError.This PR:
wandb_kwargsfield in theWandBloggerConfig(was never passed correctly to the logger)adds common top-level fields such asnotes,tags,groupto the top-level config.Edit:
To avoid breaking the current config schema I refrained from adding common WandB args like
notes,tags,groupas top-level fields. Since they may appear in older unversioned config yamls, I've added a before validator that scoops them into thewandb_kwargsfield. I've also added testing, so that the following YAML forms are accounted for: