clearml-docs/docs/release_notes/sdk/open_source/ver_1_7.md

title
Version 1.7

ClearML 1.7.2

New Features and Improvements

• Support running Jupyter Notebook inside a git repository (repository will be referenced without uncommitted changes and Jupyter Notebook will be stored on plain code as uncommitted changes)
• Add Jupyter Notebook fail warning
• Allow pipeline steps to return string paths without them being treated as a folder artifact and zipped (ClearML GitHub issue #780)
• Remove future from Python 3 requirements

Bug Fixes

• Fix exception raised when using ThreadPool (ClearML GitHub issue #790)
• Fix Pyplot/Matplotlib binding reports incorrect line labels and colors (ClearML GitHub issue #791)
• Pipelines
  • Fix crash when running cloned pipeline that invokes a step twice (ClearML GitHub issue #769)
  • Fix pipeline argument becomes None if default value is not set
  • Fix retry_on_failure callback does nothing when specified on PipelineController.add_step()
  • Fix pipeline clone logic
• Jupyter Notebook
  • Fix support for multiple Jupyter servers running on the same machine
  • Fix issue with old/new notebook packages installed
• Fix local cache with access rules disabling partial local access
• Fix Task.upload_artifact() fails uploading pandas DataFrame
• Fix relative paths in examples (ClearML GitHub PR #787

ClearML 1.7.1

New Features and Improvements

• Add callback option for pipeline step retry

Bug Fixes

• Fix Python Fire binding
• Fix Dataset failing to load helper packages should not crash
• Fix Dataset.get_local_copy() is allowed for a non-finalized dataset
• Fix Task.upload_artifact() does not upload empty lists/tuples
• Fix pipeline retry mechanism interface
• Fix Python <3.5 compatibility
• Fix local cache warning (should be a debug message)

ClearML 1.7.0

New Features and Improvements

• ClearML Data: Support providing list of links
• Upload artifacts with a custom serializer (ClearML GitHub issue #689)
• Allow user to specify extension when using custom serializer functions (for artifacts)
• Skip server URL verification in clearml-init wizard process
• When calling Dataset.get() without "alias" field, tell user that he can use alias to log it in the UI
• Add support for mmcv for logging models
• Add support for Azure and GCP storage in task.setup_upload()
• Support pipeline retrying tasks which are failing on suspected non-stable failures
• Better storage (AWS, GCP) internal load balancing and configurations
• Add Task.register_abort_callback

Bug Fixes

• Allow getting datasets with non-semantic versioning (ClearML GitHub issue #776)
• Fix interactive plots (instead of a generated png)
• Fix Python 2.7 support
• Fix clearml datasets list functionality
• Fix Dataset.init to not modify task (to Dataset.create)
• Fix failure with large files upload on HTTPS
• Fix 3d plots with plt shows 2d plot on task results page
• Fix uploading files with project's default_upload_destination (ClearML GitHub issue #734)
• Fix broken Matplotlib reporting - using logarithmic scale breaks reporting
• Fix wildcard support in clearml-data CLI
• Fix report_histogram - does not show "horizontal" orientation (ClearML GitHub issue 699)
• Fix table reporting - when using logger.report_table(title, series, iteration, etc), the series arg does not appear in UI (ClearML GitHub issue 684)
• Fix artifacts (and models) use task's original name and not new name
• Fix very long filenames from S3 can't be downloaded (with get_local_copy())
• Fix overwrite of existing output models on pipeline task with monitor_models (ClearML GitHub issue #757)