.torchxconfig
Specifying options in .torchxconfig saves you from having to type long CLI commands each time you launch a job. You can also define project level generic configs and drop a config file in your home directory for user-level overrides.
Expanded Scheduler Support
TorchX now supports AWS Batch and Ray (experimental) schedulers in addition to our existing integrations.
Distributed Training On All Schedulers
The TorchX dist.ddp component now works on all schedulers without any configuration. Distributed training workers will automatically discover each other when using torchelastic via the builtin dist.ddp component.
Hyper Parameter Optimization