clearml-docs/docs/release_notes/ver_0_13.md

title
Version 0.13

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

Version 0.13.3

Trains

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 Agent

Features and Bug Fixes

• Allow providing queue names instead of queue IDs in daemon mode.
• Improve Docker mode:
  • Support running as a specific user inside a docker using the TRAINS_AGENT_EXEC_USER environment flag.
  • Pass the correct GPU limit when skipping gpus flag.
  • Add the --force-current-version daemon command-line flag.
• Add K8s/trains glue service example.
• Add K8s support in daemon mode.
  • Running inside a K8s pod.
  • Mounting dockerized experiment folders to host.
  • Allow a specific network for the docker.
• Add default storage environment vars (for AWS, GS and Azure) to generated agent configuration.
• Improve Unicode/UTF stdout handling.

Version 0.13.2

Trains

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.

Version 0.13.1

Trains

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.

Version 0.13.0

Trains

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.

Trains Server

Features and Bug Fixes

• Add parallel coordinates hyperparameter comparison, available under Compare Experiments > HYPER PARAMETERS > Parallel Coordinates (in the drop-down) (GitHub Issue #53).
• Add encoding of experiment table view settings in URL to allow sharing, using browser URL copy / paste.
• Add loguru (ANSI color) support (GitHub Issue #29).
• Add support for special characters in hyperparameter keys (white-spaces, . and $) (GitHub Issue #69).
• Add optional anonymous daily usage statistics (help us improve Trains Server):
  • Disabled by default.
  • Requires user opt-in.
  • Single averages report per day.
  • Reports average load metrics per day (CPU / memory).
  • Reports average workload per day (amount and average duration of queues, agents and experiments).
• Improve experiment table filtering indication.
• Improve model view to allow navigating to its generating experiment.
• Fix experiment comparison to distinguish between experiments with the same name (GitHub Issue #52).
• Fix Web UI compare plots bug (GitHub Issue #55 and GitHub Issue #73).

Trains Agent

Features

• Add support for Docker pre-installed pytorch versions that do not exist on PyPI/PyTorch.org.
• Add AWS dynamic cluster management service.
• Add support for various event query endpoints in APIClient.
• Improve the configuration wizard.