Features
- Add
force_download
argument toArtifact.get()
andArtifact.get_local_copy()
#319 - Support all reporting using subprocesses instead of threads (default
sdk.development.report_use_subprocess=True
) - Improve Datasets support
- Add
clearml-data publish
to allow publishing a dataset task - Add
clearml-data
sync can now create, sync and close a dataset with a single command - Allow Dataset to be created on a running Task
- Add
dataset_tags
argument toDataset.get()
- Add
Dataset.get_logger()
- Add
- Add
Task.add_requirements()
support for specifying version<>=~
etc. - Add
StorageManager.upload_folder()
andStorageManager.download_folder()
- Add progress report logging for
StorageHelper.upload_from_stream()
,StorageHelper.upload()
andStorageHelper.upload_from_stream()
- Add jupyter auto-magic store jupyter notebook as an artifact on the Task (default
sdk.development.store_jupyter_notebook_artifact=True
) - Add upload HTML preview of jupyter notebook as an artifact
- Add
PipelineController
disable clone base task option - Add links to Tasks in optimization summary table (not just Task IDs)
- Add support for datetime in scatter plots + matplotlib support
- Improve plotly value type conforming
- Improve PyTorch
DataLoader
speed #207 - Update Auto Scaler default values and configuration
- Examples
- Add Hydra example
- Add artifacts retrieval example
- Update various examples
Bug Fixes
- Fix warning or error message if requirements parsing failed #291
- Fix pytorch-lighting multi node store #292
- Fix strip remote diff #295
- Fix python package detection
sklearn
->scikit-learn
#296 - Fix argparse issues
- Fix argparse with
[None]
in default parameter #297 - Fix parsing of arguments in scientific notation #313
- Fix argparser logging always captures defaults (Windows only, ignored cmd)
- Fix argparse
nargs
passed in command line--nargs 1 2
should be stored as[1, 2]
not as['1', '2']
- Fix support for nonstandard argparse with default value that is not of defined type
- Fix server updated with the argparse in remote before Task.init() is called (respect skipped args)
- Fix argparse with
- Fix Dataset support
- Fix
Dataset.remove_files()
can't find files when files are in dataset root #303 - Fix closing a dataset with only files removed
- Fix Dataset generate removed / modified / added of summary table
- Fix
- Fix hydra multi-run support #306
- Fix TF/TensorBoard support
- Fix TensorBoard multiple
Task.init()
/Task.close()
calls within the same process #312 - Fix TensorBoard 2+
pr_curve
- Fix TF
pr_curve
should not be inverted - Fix TF +2.3 mixed eager mode execution summary metrics not reported
- Fix TF bind keyboard interrupt
- Fix TF 2.4 keras load/save model
- Fix TensorBoard multiple
- Fix
clearml-task
- Fix error when script cannot be found
- Fix
--docker
flag not passed - Fix patching local git diff
- Fix
clearml-data
- Fix
clearml-data sync
requires--name
- Fix missing required argument
--files
inclearml-data remove
- Fix
- Fix
Task.execute_remotely()
from Jupyter Notebook - Fix populate Task called from Jupyter Notebook (use
Task.create(packages=True)
to auto populate based on locally installed packages) - Fix plotly plot with numpy containing
NaN
/datetime
- Fix matplotlib with Agg backend (or in remote execution)
- Fix trying to upload model file as a folder (automatically package the folder)
- Fix broken packages on package
importlib
detection failed the entire requirements detection - Fix
Task.connect(object)
should always return the same object instance - Fix
Task.create()
with repo and script that exists locally - Fix crash in case
Logger.get_logger()
cannot get the file name - Fix exception at exit in python 3.8+ on MacOS/Windows
- Fix make pipeline summary table link to Task step logs
- Fix Hydra 1.1 support (argparse description)
- Fix close task after logger is closed
- Fix
Task.set_base_docker()
in remote execution - Fix artifact preview limit to 64Kb
- Fix JupyterLab Notebook detection
- Fix Python 2.7 support