--- title: Version 1.0 --- ### ClearML 1.0.5 **Features** - Add Click support ([ClearML GitHub issue #386](https://github.com/allegroai/clearml/issues/386)) - Add progress bar to SHA2 generation ([ClearML GitHub issue #396](https://github.com/allegroai/clearml/issues/396)) - Add prefix to Task reported runtime info: `cpu_cores`, `gpu_driver_version` and `gpu_driver_cuda_version` - Add support for `Logger.report_text()` explicit log-level reporting - Add `return_full_path` argument to `StorageManager.list()` - Support `Task.get_tasks()` passing multiple project names - Add `TaskScheduler` - Add `task_filter` argument to `Objective.get_top_tasks()`, allow `name` as a `task_filter` field - Add `--output-uri` command-line option to `clearml-task` - Add `requirements_file` argument to `Task.force_requirements_env_freeze()` to allow specifying a local requirements file - Add support for `list` type argument in `Task.connect_configuration()` (previously only `dict` type was supported) - Rename `TrainsTuner` to `ClearmlTuner` - Update documentation links **Bug Fixes** - Fix Pandas with multi-index ([ClearML GitHub issue #399](https://github.com/allegroai/clearml/issues/399)) - Fix check permissions fail in `HTTPDriver` ([ClearML GitHub issue #394](https://github.com/allegroai/clearml/issues/394)) - Fix Dataset not setting system tag on existing `data_processing` Tasks - Fix disable redundant resource monitoring in pipeline controller - Fix `ClearMLJob` when both `project` and `target_project` are specified - Fix `ClearMLJob` docker container info is not cached - Fix no print logging after Python logging handlers are cleared - Fix `PipelineController` callback returning `False` - Fix internal `logging.Logger` can't be pickled (only applicable to Python 3.6 or lower) - Wait for reported events to flush to ensure `Task.flush()` with `wait_for_uploads=True` awaits background processes ### ClearML 1.0.4 **Features** - Add Google Colab notebook tutorial ([ClearML GitHub PR 368](https://github.com/allegroai/clearml/issues/368) and [ClearML GitHub PR 374](https://github.com/allegroai/clearml/issues/374)) - Add support for GIF images in Tensorboard ([ClearML GitHub issue 372](https://github.com/allegroai/clearml/issues/372)) - Add a tensorboardX example for `add_video` (creates GIFs in tensorboard) ([ClearML GitHub PR 372](https://github.com/allegroai/clearml/issues/372)) - Add auto scaler customizable boot bash script - Add `Task.ignore_requirements` - Deprecate `Logger.tensorboard_single_series_per_graph()` as it is now controlled from the UI 🙂 **Bug Fixes** - Fix `default_output_uri` for Dataset creation ([ClearML GitHub issue 371](https://github.com/allegroai/clearml/issues/371)) - Fix `clearml-task` failing without a docker script ([ClearML GitHub issue 378](https://github.com/allegroai/clearml/issues/378)) - Fix PyTorch DDP sub-process spawn multi-process - Fix `Task.execute_remotely()` on created Task (not initialized Task) - Fix auto scaler custom bash script should be called last before starting agent - Fix auto scaler spins too many instances at once then kills the idle ones (spin time is longer than poll time) - Fix multi-process spawn context using `ProcessFork` kills sub-process before parent process ends ### ClearML 1.0.3 **Features** - Use default `boto` credential chain if no keys are provided in the configuration file or environment variables ([ClearML GitHub PR 342](https://github.com/allegroai/clearml/issues/342)) - Support `DummyModel` configuration ([Slack Channel](https://clearml.slack.com/archives/CTK20V944/p1621469235085400)) - Add `report_matplotlib_figure(..., report_interactive=False)` allowing to upload a matplotlib as a non-interactive (high quality png) plot - Add `Logger.matplotlib_force_report_non_interactive()` - Remove matplotlib axis range (`plotly.js` auto-range can adjust it in real-time) - Add object-storage support in cleanup-service - Add `dataset_tags` argument to `Dataset.create()` - Expose `docker_args` and `docker_bash_setup_script` in `clearml-task` CLI - Add logging for Nvidia driver and Cuda version - Add optional ignored packages in script requirements (currently used for `pywin32`) - Update examples * Increase channel result to support max of 1K channels for finding slack channel and use cursor in Slack Alerts monitoring service * Add `csv` data sample to `data_samples` * Remove deprecated examples **Bug Fixes** - Fix Hydra should not store the full resolved OmegaConf ([ClearML GitHub issue 327](https://github.com/allegroai/clearml/issues/327)) - Fix direct import of keras save/load model functions ([ClearML GitHub issue 355](https://github.com/allegroai/clearml/issues/355)) - Fix run as module ([ClearML GitHub issue 359](https://github.com/allegroai/clearml/issues/359)) - Fix Python 2.7 support ([ClearML GitHub issue 366](https://github.com/allegroai/clearml/issues/366)) - Fix `Task.add_requirements()` passing `package_version` starting with `@`, `;` or `#` - Fix import keras from TF - Fix support for Hydra's `run_job()` change in parameter order by passing `config` and `task_function` as keyword arguments - Fix background upload retries with Google Storage (`gs://`) - Fix Python 3.8 race condition in `Task.close()` - Fix shutting down a Task immediately after creation might block - Fix `Task.execute_remotely()` from Jupyter notebook - Fix Jupyter Notebook inside VSCode - Fix support for `Dataset.create()` argument `use_current_task` - Fix `Dataset.finalize()` can hang in extreme scenario - Protect against wrong file object type when auto-binding models - Fix matplotlib date convertor - Fix automation controller overrides nodes clone ### ClearML 1.0.2 **Bug Fixes** - Fix in rare scenarios process stuck on exit, again :) ### ClearML 1.0.1 **Bug Fixes** - Fix in rare scenarios process stuck on exit ### ClearML 1.0.0 :::info Breaking Changes Arguments order changed in `Logger.report_line_plot()`, `Logger.report_plotly()` and `Logger.report_matplotlib_figure()` - please use keywords instead of positional arguments ::: **Features** * Add OS environment variable `CLEARML_DEFAULT_OUTPUT_URI` to override default `output_uri` for automatic models upload ([ClearML GitHub issue 328](https://github.com/allegroai/clearml/issues/328)) * Add `Task.force_requirements_env_freeze()` forcing `pip freeze` instead of package analysis ([ClearML GitHub issue 304](https://github.com/allegroai/clearml/issues/304)) * Improve pipeline support * Add Task parameters override in `ClearmlJob` ([ClearML GitHub issue 214](https://github.com/allegroai/clearml/issues/214)) * Add PipelineController node skip visualization and pre/post-execution callback * Allow enabling/disabling tensorboard auto-connect using `Task.init(auto_connect_frameworks={'tensorboard': True/False})` (default: `True`) * Allow to continue running from previous execution iteration * Support stopping instead of resetting in `Task.execute_remotely()` when server supports enqueueing stopped tasks * Add Model query interface using `Model.query_models()` * Support storing dict with `"."` in the keys using Task.connect_configuration * Add `force` argument to `Task.mark_failed()` to allow setting Task status to `failed` regardless of Task state * Add `docker_args` and `docker_bash_setup_script` arguments to `Task.create()` * Change Logger plot iteration argument default to 0 (or `None`) * Add task filtering in `Task.get_task()` using the `allow_archived` and `task_filter` arguments * Add `Task.get_configuration_objects()` for retrieving configuration object as a blob of text in automation use-cases (instead of using `Task.connect_configuration()`) * Improved pipeline support * Add pipeline step caching * Add Pipeline controller caching * Improve pipeline plot reporting * Add `PipelineController` into main namespace (use `from clearml import PipelineController`) * Add jupyter notebook preview update time stamp * Change default metric report flushing to every 5 seconds * Improve `Task.artifacts` for safer Task multi node use cases * Support ClearML server API v2.13 * Add Python 3.9 to the support table * Improve documentation and examples * Improve documentation for clearml-data, clearml-task * Add `multiple_tasks_single_process` example script for multiple Tasks created in same code * Add `using_artifacts_example` and `execute_remotely_example` example scripts * Update `requirements.txt` for `KerasTuner` example **Bug Fixes** * Fix `\r` and `\n` in debug samples title/series ([ClearML GitHub issue 323](https://github.com/allegroai/clearml/issues/323)) * Fix Google API credentials without storage section raises exception on import ([ClearML GitHub issue 331](https://github.com/allegroai/clearml/issues/331)) * Fix Matplotlib automagic export legend not showing series names ([ClearML GitHub issue 337](https://github.com/allegroai/clearml/issues/337)) * Fix `Task.set_comment/name()` passing `None` should be equivalent to `''` * Fix `Task.set_credentials()` uses incorrect config file when both `trains.conf` and `clearml.conf` are found * Fix `Task.set_credetnials()` should override settings from config file * Fix Keras h5 model storage * Fix `Task.execute_remotely()` with sub process * Fix Task requirements should conform to strings * Fix reporting after task closing * Fix remove deprecation warning with matplotlib 3.1 * Fix dataset create single root plot * Fix `Model.task` should return task ID * Fix code hangs when leaving process * Fix flushing on CR timeout (default 10sec) * Wait for subprocess when terminating * Improve flush behaviour on `KeyboardInterrupt` exception * Wait for subprocesses to flush when terminating * Fix `Task.set_credentials()` with `store_conf_file=True`