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170 lines
8.7 KiB
Markdown
170 lines
8.7 KiB
Markdown
---
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title: Version 0.14
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---
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:::important
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**Trains** is now **ClearML**.
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:::
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## Version 0.14.3
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### Trains
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**Features**
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* Add the `Logger.report_histogram` method `mode` parameter.
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The values are `group` (the default), `stack`, and `relative`.
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* Add [PEP610](https://www.python.org/dev/peps/pep-0610/) support for the new `pip` version 20.1 and newer Git reference
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feature (see [pypa/pip#609](https://github.com/pypa/pip/issues/609)) ([GitHub Issue #62](https://github.com/allegroai/trains/issues/62)).
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* Improve support for PyTorch Ignite integration.
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* Support `#` and `?` in uploaded image file names.
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**Bug Fixes**
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* Support `ArgumentParser.parse_arg` use before initializing a Task when `auto_connect_arg_parser=False`.
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* Fix `upload_object_via_stream` in the Azure storage driver.
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* Fix the `Task.get_tasks` method return type.
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## Version 0.14.2
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### Trains
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**Features**
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* Add media (audio) support for both `Logger` and TensorBoard binding using `Logger.report_media` ([GitHub Issue #120](https://github.com/allegroai/trains/issues/120)).
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* Add [autokeras example](https://github.com/allegroai/trains/blob/master/examples/frameworks/autokeras/autokeras_imdb_example.py) ([GitHub Issue #125](https://github.com/allegroai/trains/issues/125)).
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* Add caching of extracted zip artifacts.
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* Add `Task.get_tasks` filtering support.
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* Add `trains.storage.StorageManager`.
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* Add nicer stdout log flush.
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* Add text logging to TF V1 example.
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* Improve SSL retries and error handling.
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* Improve shutdown behavior in case of a user abort (Ctrl-C).
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* Improve repository and module detection:
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* Improve resource monitor.
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* Report memory usage for process (and sub-processes).
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* Report GPU memory usage for process (and sub-processes).
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* Stability
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* Improve Jupyter support:
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* Make sure `trains` is included in Jupyter requirements.
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* Ignore IPython directives in converted Python script (like `%` and `!` lines).
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* Update Pytorch / TensorboardX examples.
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**Bug Fixes**
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* Fix renaming / deleting model file right after saving will break asynchronous upload ([GitHub Issue #123](https://github.com/allegroai/trains/issues/123)).
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* Fix shutdown behavior:
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* Logger flush delay and termination.
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* Repository / package detection termination.
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* Threads termination.
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* Fix text encoding `utf-8` and `pr_curve` broken in Tensorboard support.
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* Fix single log request exceeds max packet size.
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* Fix upload debug assets with series / title including `,` or `/` did not add iteration index to the filename.
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* Fix `scikit-learn` module detection.
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* Use UID in message if username cannot be retrieved.
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* Fix cast in Tensorflow v2 example.
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### Trains Server
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**User survey**
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* Add survey invitation popup.
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**Bug fixes**
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* Fix misaligned titles in experiment results, scalars, and plots (**RESULTS** tab, **SCALARS** and **PLOTS** sub-tabs).
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* Fix parallel coordinate comparison in comparing experiments. Adding dimension with no values removes all lines.
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* Fix resizing the experiments tables window. The preferences wheel jumped over the titles.
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* Fix the browser zoom (**CTRL +**, **CTRL -**, and mouse wheel) in experiment **RESULTS** **>** **SCALARS** tab. It broke labels ([GitHub Issue #127](https://github.com/allegroai/trains/issues/127)).
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## Version 0.14.1
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### Trains
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**Features and Bug Fixes**
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* 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).
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* Add `Task.get_models` and `Task.models` for retrieving stored models for previously executed tasks
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* Support multiple EventWriter in TensorFlow eager mode (TF 2.0+) ([GitHub Issue #26](https://github.com/allegroai/trains/issues/26)).
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* Support reusing models.
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* Fix TensorFlow not a number (`NaN`) and infinity (`Inf`)
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values support ([GitHub Issue #118](https://github.com/allegroai/trains/issues/118)).
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* Fix joblib binding.
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* Fix metrics / files / models upload on shutdown.
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* Fix support for Task init / close multiple times.
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* Update `manual_reporting.py` example with `Logger.report_table` example.
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* Deprecate `Task.set_model_config`, `Task.get_model_config_text`, and `Task.get_model_config_dict`.
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### Trains Server
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**Features and Bug Fixes**
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* Support default **Trains Server** Kubernetes Helm ports in the **Trains Web-App (UI)**.
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* Fix issue switching scalar plots between linear and logarithmic views ([GitHub Issue #75](https://github.com/allegroai/trains/issues/75)).
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* Do not reset view filtering when switching tabs in experiment view.
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### Trains Agent
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**Features and Bug Fixes**
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* Add `daemon` detached mode (`--detached`, `-d`) that runs the agent as daemon in the background and returns immediately.
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* Auto mount `~/.git-credentials` into a Docker container, if the file exists.
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* Add `TRAINS_AGENT_EXTRA_PYTHON_PATH` environment variable to allow the adding of an additional Python path during experiment execution (helpful when using extra un-tracked modules).
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* Fix "run as user" feature (using `TRAINS_AGENT_EXEC_USER` environment variable).
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* Fix PyTorch support to ignore minor versions when looking for package to install / download.
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* Fix experiment execution output handling.
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## Version 0.14.0
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### Trains
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**Features and Bug Fixes**
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* Add support for reporting tables (pandas.DataFrame, CSV files, URL to CSV file) using the `Logger.report_table` method.
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* 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.
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* Add multiprocess task support ([GitHub Issue #96](https://github.com/allegroai/trains/issues/96)).
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* Add `trains-init` support for config file override using the `TRAINS_CONFIG_FILE` environment variable or `--file` command line argument ([GitHub Issue #105](https://github.com/allegroai/trains/issues/105)).
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* Add initial slurm support.
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* Allow disabling repository detection when calling `Task.init`.
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* Add Jupyter Notebook server execution example.
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* Update examples.
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* Improve warning messages for storage errors and missing storage packages.
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* Fix HTTP link quoting in stored links.
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### Trains Server
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**Features and Bug Fixes**
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* Add debug image viewing for an unlimited number of iterations, filtering by metric, and comparing debug images for different iterations.
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* Add debug image view zoom, fit to screen, resize, hover coordinates ([GitHub Issue #68](https://github.com/allegroai/trains/issues/68)).
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* Add switching scalar plots between linear and logarithmic views ([GitHub Issue #75](https://github.com/allegroai/trains/issues/75)).
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* Add scalar minimums and maximums to comparing experiments.
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* Add opening HTML artifact files in the browser.
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* Add Web-App notification for version updates.
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* Add toggle button to switch between full screen and standard views in the **RESULTS** tab.
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* Add a load more button to the global search results.
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* Add automatic detection of debug video type from the file extension.
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* Add `Task.get_parameters_as_dict` and `Task.set_parameters_as_dict`.
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* Allow editing model description.
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* Allow editing experiment uncommitted changes and installed packages separately.
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* Allow deleting an input model from an experiment whose status is *Draft*.
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* Fix dialog elements which are now accessible in non-100% screen scale. ([GitHub Issue #89](https://github.com/allegroai/trains/issues/89)).
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* Fix custom columns in the experiments table not properly loaded from browser store ([GitHub Issue #106](https://github.com/allegroai/trains/issues/106)).
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* Fix issue with showing 2D graphs containing sub-plots ([trains #slack](https://github.com/allegroai/trains/issues/106))
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* Fix issues with vertical scrolling of experiment logs.
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* Fix issue with image plots sometimes not visible in experiments comparison.
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### Trains Agent
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**Features and Bug Fixes**
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* Add support for `trains-agent execute --id <experiment-id> --docker` that allows executing a specific experiment inside a docker container.
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* Add support for `trains-agent execute --id <template-experiment-id> --clone` that clones the provided experiment and executes the cloned experiment.
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* Add support for `APIClient.models.delete` to allow programmatically deleting a model ([GitHub trains-server Issue #32](https://github.com/allegroai/trains-server/issues/32)).
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* Add daemon support for passing storage-related OS environment variables to experiments executed inside a Docker container (supported by trains>=0.13.3):
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* AWS: `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY` and `AWS_DEFAULT_REGION`
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* Azure: `AZURE_STORAGE_ACCOUNT` and `AZURE_STORAGE_KEY`
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* Google: `GOOGLE_APPLICATION_CREDENTIALS`
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* Fix Git checkout with submodules ([GitHub Issue #112](https://github.com/allegroai/trains/issues/112)).
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* Docker image in command line takes precedence over the Docker image specified in an experiment. |