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47 changes: 47 additions & 0 deletions CHANGELOG.md
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# CHANGELOG

## torchx-0.3.0

* Milestone: https://github.com/pytorch/torchx/milestone/5

* `torchx.schedulers`
* List API (Prototype)
* New list API to list jobs and their statuses for all schedulers which removes the need to use secondary tools to list jobs
* AWS Batch (promoted to Beta)
* Get logs for running jobs
* Added configs for job priorities and queue policies
* Easily access job UI via ui_url
* Ray
* Add elasticity to jobs launched on ray cluster to automatically scale jobs up as resources become available
* Kubernetes
* Add elasticity to jobs launched on Kubernetes
* LSF Scheduler (Prototype)
* Newly added support for scheduling on IBM Spectrum LSF scheduler
* Local Scheduler
* Better formatting when using pdb

* `torchx.tracker` (Prototype)
* TorchX Tracker is a new lightweight experiment and artifact tracking tool
* Add tracker API that can track any inputs and outputs to your model in any infrastructure
* FSSpec based Torchx tracking implementation and sample app

* `torchx.runner`
* Allow overriding TORCHX_IMAGE via entrypoints
* Capture the image used when logging schedule calls

* `torchx.components`
* Add debug flag to dist component

* `torchx.cli`
* New list feature also available as a subcommand to list jobs and their statuses on a given scheduler
* New tracker feature also available as a subcommand to track experiments and artifacts
* Defer loading schedulers until used

* `torchx.workspace`
* Preserve Unix file mode when patching files into docker image.

* Docs
* Add airflow example

* Additional changes
* Bug fixes for Python 3.10 support


## torchx-0.2.0

* Milestone: https://github.com/pytorch/torchx/milestone/4
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2 changes: 1 addition & 1 deletion torchx/version.py
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# 0.1.0bN # Beta release
# 0.1.0rcN # Release Candidate
# 0.1.0 # Final release
__version__ = "0.3.0dev0"
__version__ = "0.3.0"

# Use the github container registry images corresponding to the current package
# version.
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