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clearml-docs/docs/release_notes/sdk/open_source/ver_0_13.md
pollfly 8249768619
Refactor Release Notes (#938)
2024-09-26 16:09:25 +03:00

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Version 0.13

:::important Trains is now ClearML. :::

Trains 0.13.3

Features and Bug Fixes

  • Add a binding for tensorboard.summarywriter.addscalars

  • Add the tensorboard_single_series_per_graph method, which supports separate plots for each TensorBoard scalar.

  • Add the Task.set_base_docker and Task.get_base_docker methods for the base Docker image used by Trains Agent.

  • Add support for the standard OS environment variables to obtain default credentials for:

    • AWS: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, and AWS_DEFAULT_REGION.
    • Azure Storage: AZURE_STORAGE_ACCOUNT and AZURE_STORAGE_KEY.
    • Google Cloud Storage: GOOGLE_APPLICATION_CREDENTIALS.

  • Add the Task.get_parameters_as_dict and Task.set_parameters_as_dict methods supporting get / set of parameters from referenced Tasks (use the Task.get_task to get a reference).

  • Make sure Task.connect always returns the connected instance passed to it.

  • tensorflow_gpu takes precedence over tensorflow when Trains detects installed packages to record experiment dependencies.

  • Remove title and series naming restrictions (allow $ and .) when reporting metrics.

  • Fix incorrect printouts in initialization wizard and upgrade notifications.

  • Fix debug images URL for uploaded files with % in their name.

Trains 0.13.2

Features and Bug Fixes

  • Allow reporting a pre-uploaded image url in Logger.report_image() using the Logger.report_image.params.url parameter.
  • Add support for Git repositories without a .git suffix, for example Azure Repos.
  • Improve conda support.
  • Improve hyperparameters argparser integration.
  • Fix savefig patching in matplotlib binding.
  • Fix logs, events and Jupyter Notebook flushing on exit.

Trains 0.13.1

Features and Bug Fixes

  • Add support for pyplot.savefig and pylab.savefig in matplotlib binding.
  • Add support for SageMaker.
  • Improve configuration wizard.
  • Try to make sure TensorBoard is available when using torch.
  • Do not store keras model network design if it cannot be serialized (GitHub Issue #72).
  • Fix matplotlib binding support.

Trains 0.13.0

Features and Bug Fixes

  • Add support for trains-server v0.13.0.
  • Add support for nested (non-main) tasks.
  • Add warning when automatic argument parser binding cannot be turned off.
  • Add Task.upload_artifact support for external URLs (pre-uploaded).
  • Add support for special characters in hyperparameter keys (white-spaces, . and $) (GitHub Issue #69).
  • Add support for PyTorch .pt model files.
  • Calculate data-audit artifact uniqueness by user-criteria (GitHub Issue #45).
  • Use an environment variable for setting a default docker image (GitHub Issue #58).
  • Improve trains-init configuration wizard.
  • Update examples for new joblib versions.
  • Update jupyter example to TensorFlow 2.
  • Fix task clone to copy only input artifacts.
  • Fix matplotlib import binding when using Agg backend.
  • Fix ProxyDictPreWrite and ProxyDictPostWrite so they can be pickled correctly (GitHub Issue #72).
  • Fix requests issue in Python 2.7 that can cause a deadlock when importing netrc.
  • Fix argparser binding sub-parser and type casting support (GitHub Issue #74).
  • Fix argparser binding Python 2.7 unicode handling.
  • Fix unsynced connected hyperparameters overridden during remote execution.