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title
| title |
|---|
| Version 1.8 |
ClearML SDK 1.8.1
New Features and Improvements
- Raise error on failed uploads ClearML GitHub issue #810
- Add hyperdataset examples ClearML GitHub PR #823
- Change
report_event_flush_thresholddefault to 100 - Add
ModelInfo.weights_object()to store callback access to the actual model object being stored (valid for both pre/post save calls, otherwiseNone) - Support
num_workersin dataset operation - Support max connections setting for Azure storage using the
sdk.azure.storage.max_connectionconfiguration option
Bug Fixes
- Fix clearml logger default level cannot be changed ClearML GitHub issue #741
- Fix Hydra doesn't get overridden information from ClearML ClearML GitHub issue #751
- Fix
StorageManager.list(“s3://..”, with_metadata=True)doesn't work - Fix
ModelsList.keys()is missing - Fix
CLEARML_DEFERRED_TASK_INIT=1doesn't work - Fix default API method does not work when set in configuration
ClearML SDK 1.8.0
New Features and Improvements
- Add tarfile member sanitization to
extractall()ClearML GitHub PR #803 - Add
Task.delete_artifacts()withraise_on_errorsargument ClearML GitHub issue #805 - Add CI/CD example ClearML GitHub PR #815
- Limit number of
_serializerequests when adding list of links withadd_external_files()ClearML GitHub issue #813 - Add support for connecting Enum values as parameters
- Improve Colab integration (store entire colab, not history)
- Add
clearml.browser_loginto authenticate browser online sessions such as Colab, Jupyter Notebooks etc. - Remove
import_bindfrom stack trace of import errors - Add
sdk.development.worker.report_event_flush_thresholdconfiguration option to control the number of events to trigger a report - Return stub object from
Task.init()if noclearml.conffile is found - Improve manual model uploading example
- Remove deprecated demo server
Bug Fixes
- Fix passing
compression=ZIP_STORED(or 0) toDataset.upload()usesZIP_DEFLATEDand overrides the user-supplied argument ClearML GitHub PR #812 - Fix
unique_selectoris not applied properly on batches after the first batch. Remove default selector value since it does not work for all event types (and we always specify it anyway) - Fix
clearml-initcolab detection - Fix cloning pipelines run with
start_locally()doesn't work - Fix if project has a default output uri there is no way to disable it in development mode (manual), allow passing
output_uri=Falseto disable it - Fix git remote repository detection when remote is not "origin"
- Fix reported images might not all be reported when waiting to complete the task
- Fix
Dataset.get_local_copy()deletes the source archive if it is stored locally - Fix too many parts will cause preview to inflate Task object beyond its 16MB limit - set a total limit of 320kbs
- Fix media preview is created instead of a table preview
- Fix
task.update_output_model()should always upload local models to a remote server - Fix broken pip package might mess up requirements detection