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torchx/release - 0.6.0 (#774)
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CHANGELOG.md

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# CHANGELOG
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## torchx-0.6.0
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* Breaking changes
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* Drop support for python 3.7.
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* Upgrade docker base image python version to 2.0
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* `torchx.schedulers`
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* Add support for options in create_schedulers factory method that allows scheduler configuration in runner
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* Kubernetes MCAD Scheduler
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* Add support for retrying
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* Test, formatting and documentation updates
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* AWS Batch Scheduler
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* Fix logging rank attribution
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* Ray Scheduler
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* Add ability to programmatically define ray job client
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* `torchx.tracker`
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* Fix adding artifacts to MLFlowTracker by multiple ranks
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* `torchx.components`
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* dst.ddp
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* Add ability to specify rendezvous backend and use c10d as a default mechanism
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* Add node_rank parameter value for static rank setup
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* `torchx.runner`
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* Resolve run_opts when passing to `torchx.workpsace` and for dry-run to correctly populate the values
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* `torchx.runner.events`
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* Add support to log CPU and wall times
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* `torchx.cli`
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* Wait for app to start when logging
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* `torchx.specs`
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* Role.resources uses default_factory method to initialize its value
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## torchx-0.5.0
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* Milestone: https://github.com/pytorch/torchx/milestone/7

dev-requirements.txt

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black==23.3.0
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boto3==1.24.59
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captum>=0.4.0
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docker
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flake8==3.9.0
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fsspec[s3]==2023.1.0
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google-api-core

torchx/version.py

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# 0.1.0bN # Beta release
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# 0.1.0rcN # Release Candidate
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# 0.1.0 # Final release
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__version__ = "0.6.0dev0"
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__version__ = "0.6.0"
2020

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

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