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71 lines
4.1 KiB
Markdown
71 lines
4.1 KiB
Markdown
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---
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title: Version 1.7
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---
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### ClearML 1.7.2
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**New Features and Improvements**
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* Support running Jupyter Notebook inside a git repository (repository will be referenced without uncommitted changes
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and Jupyter Notebook will be stored on plain code as uncommitted changes)
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* Add Jupyter Notebook fail warning
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* Allow pipeline steps to return string paths without them being treated as a folder artifact and zipped ([ClearML GitHub issue #780](https://github.com/allegroai/clearml/issues/780))
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* Remove `future` from Python 3 requirements
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**Bug Fixes**
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* Fix exception raised when using `ThreadPool` ([ClearML GitHub issue #790](https://github.com/allegroai/clearml/issues/790))
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* Fix Pyplot/Matplotlib binding reports incorrect line labels and colors ([ClearML GitHub issue #791](https://github.com/allegroai/clearml/issues/791))
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* Pipelines
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* Fix crash when running cloned pipeline that invokes a step twice ([ClearML GitHub issue #769](https://github.com/allegroai/clearml/issues/769))
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* Fix pipeline argument becomes `None` if default value is not set
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* Fix `retry_on_failure` callback does nothing when specified on `PipelineController.add_step()`
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* Fix pipeline clone logic
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* Jupyter Notebook
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* Fix support for multiple Jupyter servers running on the same machine
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* Fix issue with old/new notebook packages installed
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* Fix local cache with access rules disabling partial local access
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* Fix `Task.upload_artifact()` fails uploading pandas `DataFrame`
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* Fix relative paths in examples ([ClearML GitHub PR #787](https://github.com/allegroai/clearml/issues/787)
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### ClearML 1.7.1
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**New Features and Improvements**
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* Add callback option for pipeline step retry
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**Bug Fixes**
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* Fix Python Fire binding
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* Fix Dataset failing to load helper packages should not crash
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* Fix `Dataset.get_local_copy()` is allowed for a non-finalized dataset
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* Fix `Task.upload_artifact()` does not upload empty lists/tuples
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* Fix pipeline retry mechanism interface
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* Fix `Python <3.5` compatibility
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* Fix local cache warning (should be a debug message)
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### ClearML 1.7.0
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**New Features and Improvements**
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* ClearML Data: Support providing list of links
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* Upload artifacts with a custom serializer ([ClearML GitHub issue #689](https://github.com/allegroai/clearml/issues/689))
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* Allow user to specify extension when using custom serializer functions (for artifacts)
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* Skip server URL verification in `clearml-init` wizard process
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* When calling `Dataset.get()` without "alias" field, tell user that he can use alias to log it in the UI
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* Add support for mmcv for logging models
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* Add support for Azure and GCP storage in `task.setup_upload()`
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* Support pipeline retrying tasks which are failing on suspected non-stable failures
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* Better storage (AWS, GCP) internal load balancing and configurations
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* Add `Task.register_abort_callback`
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**Bug Fixes**
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* Allow getting datasets with non-semantic versioning ([ClearML GitHub issue #776](https://github.com/allegroai/clearml/issues/776))
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* Fix interactive plots (instead of a generated png)
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* Fix Python 2.7 support
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* Fix clearml datasets `list` functionality
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* Fix `Dataset.init` to not modify task (to `Dataset.create`)
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* Fix failure with large files upload on HTTPS
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* Fix 3d plots with plt shows 2d plot on task results page
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* Fix uploading files with project's `default_upload_destination` ([ClearML GitHub issue #734](https://github.com/allegroai/clearml/issues/734))
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* Fix broken Matplotlib reporting - using logarithmic scale breaks reporting
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* Fix wildcard support in `clearml-data` CLI
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* Fix `report_histogram` - does not show "horizontal" orientation ([ClearML GitHub issue 699](https://github.com/allegroai/clearml/issues/699))
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* Fix table reporting - when using `logger.report_table(title, series, iteration, etc)`, the `series` arg does not appear in UI ([ClearML GitHub issue 684](https://github.com/allegroai/clearml/issues/684))
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* Fix artifacts (and models) use task's original name and not new name
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* Fix very long filenames from S3 can't be downloaded (with `get_local_copy()`)
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* Fix overwrite of existing output models on pipeline task with `monitor_models` ([ClearML GitHub issue #757](https://github.com/allegroai/clearml/issues/757))
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