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| title |
|---|
| Version 1.5 |
ClearML 1.5.0
New Features and Improvements
- Add support for single value metric reporting ClearML GitHub issue (ClearML GitHub issue #400)
- Add support for specifying parameter sections in
PipelineDecorator(ClearML GitHub issue #629) - Add support for parallel uploads and downloads (upload / download and zip / unzip of artifacts)
- Add support for specifying execution details (repository, branch, commit, packages, image) in
PipelineDecorator - Bump PyJWT version due to "Key confusion through non-blocklisted public key formats" vulnerability
- Add support for AWS Session Token (using boto3's
aws_session_tokenargument)
Bug Fixes
- Fix
Task.get_projects()retrieves only the first 500 results (ClearML GitHub issue #612) - Fix failure to delete artifacts stored in Azure (ClearML GitHub issue #660)
- Fix Process Pool hangs at exit (ClearML GitHub issue #674)
- Fix number of unpacked values when syncing a dataset (ClearML GitHub issue #682)
- Fix FastAI DeprecationWarning (ClearML GitHub PR #683)
- Fix
StorageManager.download_folder()crash - Fix pipelines can't handle
Nonereturn value - Fix pre-existing pipeline raises an exception
- Fix deprecation warning in the
image_reportingexample - Fix patches are kept binded after
Task.close()is called - Fix running pipeline code remotely without first running it locally (i.e. no configuration on the Task)
- Fix local task execution with empty working directory
- Fix permission check fails when using local storage folder that does not exist
- Fix pipeline
add_function_stepbreaks in remote execution - Fix wrong mimetype used for any file or folder uploaded to S3 using
StorageManager - Add missing default
default_cache_manager_sizein configuration files