clearml-docs/docs/release_notes/sdk/open_source/ver_0_14.md

title
Version 0.14

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

Trains 0.14.3

Features

• Add the Logger.report_histogram method mode parameter. The values are group (the default), stack, and relative.
• Add PEP610 support for the new pip version 20.1 and newer Git reference feature (see pypa/pip#609) (GitHub Issue #62).
• Improve support for PyTorch Ignite integration.
• Support # and ? in uploaded image file names.

Bug Fixes

• Support ArgumentParser.parse_arg use before initializing a Task when auto_connect_arg_parser=False.
• Fix upload_object_via_stream in the Azure storage driver.
• Fix the Task.get_tasks method return type.

Trains 0.14.2

Features

• Add media (audio) support for both Logger and TensorBoard binding using Logger.report_media (GitHub Issue #120).
• Add autokeras example (GitHub Issue #125).
• Add caching of extracted zip artifacts.
• Add Task.get_tasks filtering support.
• Add trains.storage.StorageManager.
• Add nicer stdout log flush.
• Add text logging to TF V1 example.
• Improve SSL retries and error handling.
• Improve shutdown behavior in case of a user abort (Ctrl-C).
• Improve repository and module detection:
  • Improve resource monitor.
  • Report memory usage for process (and sub-processes).
  • Report GPU memory usage for process (and sub-processes).
  • Stability
• Improve Jupyter support:
  • Make sure trains is included in Jupyter requirements.
  • Ignore IPython directives in converted Python script (like % and ! lines).
• Update PyTorch / TensorboardX examples.

Bug Fixes

• Fix renaming / deleting model file right after saving will break asynchronous upload (GitHub Issue #123).
• Fix shutdown behavior:
  • Logger flush delay and termination.
  • Repository / package detection termination.
  • Threads termination.
• Fix text encoding utf-8 and pr_curve broken in Tensorboard support.
• Fix single log request exceeds max packet size.
• Fix upload debug assets with series / title including , or / did not add iteration index to the filename.
• Fix scikit-learn module detection.
• Use UID in message if username cannot be retrieved.
• Fix cast in Tensorflow v2 example.

Trains 0.14.1

Features and Bug Fixes

• Add OpenMPI / Slurm support, support TRAINS_FORCE_MASTER_NODE environment variable to allow forcefully specifying a node is master (not based on the MPI Rank).
• Add Task.get_models and Task.models for retrieving stored models for previously executed tasks
• Support multiple EventWriter in TensorFlow eager mode (TF 2.0+) (GitHub Issue #26).
• Support reusing models.
• Fix TensorFlow not a number (NaN) and infinity (Inf) values support (GitHub Issue #118).
• Fix joblib binding.
• Fix metrics / files / models upload on shutdown.
• Fix support for Task init / close multiple times.
• Update manual_reporting.py example with Logger.report_table example.
• Deprecate Task.set_model_config, Task.get_model_config_text, and Task.get_model_config_dict.

Trains 0.14.0

Features and Bug Fixes

• Add support for reporting tables (pandas.DataFrame, CSV files, URL to CSV file) using the Logger.report_table method.
• Add support for setting a Task's initial iteration to allow continuing previous runs using the Task.set_initial_iteration and Task.get_initial_iteration methods.
• Add multiprocess task support (GitHub Issue #96).
• Add trains-init support for config file override using the TRAINS_CONFIG_FILE environment variable or --file command line argument (GitHub Issue #105).
• Add initial slurm support.
• Allow disabling repository detection when calling Task.init.
• Add Jupyter Notebook server execution example.
• Update examples.
• Improve warning messages for storage errors and missing storage packages.
• Fix HTTP link quoting in stored links.