allegroai/clearml 0.16.0

PyPI v0.16.0

on GitHub

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