Error1 reports
Fix TypeError
in Weights & Biases
✅ Solution
TypeError in weights-biases often arises from attempting to apply string operations or access methods meant for strings on non-string data types within a summary object. To fix this, ensure that all data being processed as strings are definitively strings by using `str()` to explicitly convert them before applying string operations or accessing string-specific methods. This will prevent unexpected type mismatches during summary processing.
Related Issues
Real GitHub issues where developers encountered this error:
Timeline
First reported:Nov 2, 2025
Last reported:Nov 2, 2025
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