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1.33.0
New Features
Registry: Extended ParamSpec support to PyTorch models. Parameters declared in the model signature
can now be passed at inference time, matching the existing support for custom models.
Registry (PrPr): Added model_init_once model save option to log_model. When set to True, the
model is loaded once per worker process at startup, eliminating model-loading overhead. Defaults to False.
Experiment Tracking live logging is out of private preview
and will become generally available over the next few weeks.
Registry: Bumped transformers upper bound to <6, adding compatibility with Hugging Face Transformers v5.
Bug Fixes
Experiment Tracking live logging: Fixed a bug where the tracebacks for uncaught exceptions were not logged when
the code was running in a with exp.start_run() block.
Registry: Fixed a thread leak in create_service(block=True) where the log-streaming thread could outlive the
error handler when service deployment fails.