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torchx/release - 0.4.0
Differential Revision: D42284177 Pull Request resolved: #676
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CHANGELOG.md

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# CHANGELOG
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## torchx-0.4.0
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* Milestone: https://github.com/pytorch/torchx/milestone/6
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* `torchx.schedulers`
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* GCP Batch (Prototype)
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* Newly added integration for easily scheduling jobs on GCP Batch.
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* Features include:
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* scheduling different types of components including DDP components
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* scheduling on different compute resources (CPU, GPU)
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* describing jobs including getting job status
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* getting logs for jobs
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* listing jobs
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* cancelling jobs
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* AWS Batch
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* Listing jobs now returns just jobs launched on AWS Batch by TorchX and uses pagination to enable listing all jobs in all queues.
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* Named resources now account for ECS and EC2 memtax, and suggests closest match when resource is not found.
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* Named resources expanded to include all instance types for g4d, g5, p4d, p3 and trn1.
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* `torchx.workspace`
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* Improve docker push logging to prevent log spamming when pushing for the first time
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* Additional Changes
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* Remove classyvision from examples since it's no longer supported in OSS. Uses torchvision/torch dataset APIs instead of ClassyDataset.
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## torchx-0.3.0
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* Milestone: https://github.com/pytorch/torchx/milestone/5

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__ = "0.4.0dev0"
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__version__ = "0.4.0"
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# Use the github container registry images corresponding to the current package
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# version.

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