feat: add support for distributed custom training #66
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| replica_count: int = 0 | ||
| machine_type: str = "n1-standard-2" |
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n1-standard-2 is supported in Deploy but not for Training.
n1-standard-4 is currently the lowest common denominator.
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Thanks! That's good to know. I was working off the machine_resource.MachineSpec proto comments.
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Adds support for chief-worker distributed training to custom training. If replica_count > 1 the remainder as provisioned as workers
The _DistributedTrainingSpec can also support more custom provisioning. We will have a follow up PR after we consider how we want to expose more custom provisioning on the API surface.
Note: If library upgrades to 3.7 we should switch the Spec classes to dataclass.
Fixes b/172369809 🦕