Breaking Changes
- When using MinIO or Azure storage, downloading using
StorageManager.download_file()
andStorageManager.download_folder()
will not create a subfolder with the bucket name in the generated download path (#709)
New Features and Improvements
- Improve the
Task.mark_completed
,Task.close
, and the hyperparameter example (#927, thanks @Make42!) - Add
Task.get_debug_samples()
to retrieve task's debug samples (#761) - Add custom artifact serialization for pipelines using the new
artifact_{serialization,deserialization}_function
parameters inPipelineController
andPipelineDecorator
(#689) - Allow registering offline models (#653)
- Add table layout configuration to
Logger.report_table()
throughextra_data
parameter, solving (#796) - Add support for attaching plots and scalars to models using the new
Model.report_*
methods - Add
force_download
argument toModel.get_local_copy()
to force the downloading of a new copy of a model even if already in the cache - Add
PipelineController.connect_configuration()
to add configuration dictionaries to a pipeline - Add
Dataset.delete
configurable hosted contents deletion support, allowing deletion of both ClearML file server hosted files, and external storage hosted files - Add
PipelineController.is_successful()
criteria customization - Adjust
CLEARML_VCS_DIFF
environment variable behavior, setting it to an empty string now forces the task to not log uncommitted changes - Add support for API v2.23
- Add Getting Started Notebooks
- Add the
output_uri=True
argument in the hook config for the OpenMMLab example - Add local HPO command line execution with the
--local
argument - Add support for python package namespace detection
Bug Fixes
- Fix logging dependencies that use the
subdirectory
argument whenpip install
ing from a git repo (#947, thanks @jday1!) - Fix missing comma leading to a
SyntaxError
(#959, thanks @jday1!) - Fix auto-logging for multiple models trained by the same framework in the same task (#767)
- Fix wrong overriding of custom server URLs when running
clearml-init
(clearml-server #181 and #910) - Fix parallel coordinates plot display of categorical variables (#907)
- Fix
task.connect()
docstring (ClearML Docs issue #473) - Fix auto-publishing in
Dataset.finalize()
raises exception due to backward compatibility issue (#908) - Fix auto-detection of Jupyter Notebooks in Sagemaker
- Fix Gradio binding being triggered even when
gradio
is not imported - Fix reconnection following an offline session. Only allow closed tasks to be reconnected
- Fix
python-fire
support - Fix mishandling nested dictionaries in
Task.connect()
insidePipelineDecorator
- Fix
get_or_create_project
crashes when run in parallel - Fix
task.get_user_properties(value_only=True)
, previously raising an exception - Fix
silence_errors
parameter not working as expected inStorageManager.get_file_size_bytes()
- Fix setting
Dataset
metadata name to a string prefixed withdata_
breakingDataset.get
- Fix Pipeline fails when creating tasks from multi-argument functions, due to a parsing error when working with Python comma slices