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@clearml-bot clearml-bot released this 11 Aug 14:57
· 1736 commits to master since this release
0.16.0
ffdf2e5

Features

  • Add continuing of previously executed experiments. Add Task.init() argument continue_last_task to continue a previously used Task #160
  • Allow Task editing/creation from code. Task.export_task/import_task/update_task() #128
  • Add offline mode. Use Task.set_offline() and Task.import_offline_session()
    • Support setting offline mode via TRAINS_OFFLINE_MODE=1 environment variable
    • Support setting offline API version via TRAINS_OFFLINE_MODE=2.9 environment variable
  • Automatically pickle all objects when uploading as artifacts, task.upload_artifact() argument auto_pickle=True #153
  • Add multiple sections/groups support for Task hyper-parameters using Task.connect()
  • Add multiple configurations (files) using Task.connect_configuration
  • Allow enabling OS environment logging using the sdk.development.log_os_environments configuration parameter (complements the TRAINS_LOG_ENVIRONMENT environment variable)
  • Add Optuna support for hyper-parameter optimization controller. OptimizerOptuna is now the default optimizer.
  • Add initial Keras-Tuner support (keras-team/keras-tuner#334)
  • Add automatic FastAI logging. It is disabled if tensorboard is loaded (assuming TensorBoradLogger will be used)
  • Support Tensorboard text logging (add_text()) as debug samples (.txt files), instead of as console output
  • Allow for more standard confusion matrix reporting. Logger.report_confusion_matrix() argument yaxis_reversed (flips the confusion matrix if True, default False) #165
  • Add support for Trains Server 0.16.0 (API v2.9 support)
  • Allow disabling Trains update message from the log using the TRAINS_SUPPRESS_UPDATE_MESSAGE environment variable #157
  • Add AWS EC2 Auto-Scaler service wizard and Service
  • Improved and updated examples
    • Add Keras Tuner CIFAR10 example
    • Add FastAI example
    • Update PyTorch Jupyter notebook examples #150
  • Support global requirements detection using pip freeze (set sdk.development.detect_with_pip_freeze configuration in trains.conf)
  • Add Task.get_projects() to get all projects in the system, sorted by last update time

Bug Fixes

  • Fix UTC to time stamp in comment #152
  • Fix and enhance GPU monitoring
    • Fix GPU stats on Windows machines #177
    • More robust GPU monitoring #170
  • Fix filename too long bug allegroai/clearml-server#49
  • Fix TensorFlow image logging to allow images with no width/height/color metadata #182
  • Fix multiprocessing Pool throw exception in pool hangs execution. Call original signal handler and re-flush stdout
  • Fix plotly support for matplotlib 3.3
  • Add Python 2.7 support for get_current_thread_id()
  • Update examples requirements
  • Fix and improve signal handling
  • Fix Tensorboard 2D convolution histogram, improve histogram accuracy on very small histograms
  • Fix auto logging multiple argparse calls before Task.init()
  • Limit experiment Git diff logging to 500Kb. If larger than 500Kb, diff section will contain a warning and entire diff will be uploaded as an artifact named auxiliary_git_dif
  • Fix requirements detection
    • Fix Trains installed from git+
    • Fix when Trains is not directly imported
    • Fix multiple -e packages were not detected (only the first one)
    • Fix running with Trains in PYTHONPATH resulted in double entry of trains
  • Fix Task.set_base_docker() on main task to do nothing when running remotely
Assets 3
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