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