Fix autoprovisioning with spot nodes - Githubissues

AI-Hypercomputer / xpk

xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerators such as TPUs and GPUs on GKE.

Apache License 2.0

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Fix autoprovisioning with spot nodes #187

Open avrittrohwer opened 1 week ago

avrittrohwer commented 1 week ago

Fixes / Features

Fixes workload rendering when using spot, without this change xpk workload create errors like:

[XPK] Waiting for `Creating Workload`, for 0 seconds
error: error parsing /tmp/tmp242uhnfs: error converting YAML to JSON: yaml: line 33: could not find expected ':'
[XPK] Task: `Creating Workload` terminated with code `1`

Adds required pod tolerations when using node auto-provisioning with spot nodes. Without the tolerations cluster autoscaler will not create new spot node pools.

Testing / Documentation

[ y ] Tests pass
[ y, not needed ] Appropriate changes to documentation are included in the PR

Node auto-provisioning with spot

Created a xpk cluster with --spot and autoprovisioning flags.
Created a workload with a different topology than the cluster default.
Observed a nodepool being created with the new workload topology using spot TPU nodes.

Node auto-provisioning without spot

Created a xpk cluster with --spot and autoprovisioning flags.
Created a workload with a different topology than the cluster default and --on-demand flag.
Validated generated YAML does not specify spot node-selector and tolerations
Observed a nodepool being created with the new workload topology using on-demand TPU nodes.

Not auto-provisioning with spot

Created a xpk cluster with --spot flag.
Validated nodepool was created with spot nodes
Created a workload and validated it ran.

avrittrohwer commented 1 week ago

zone: 'us-central2'>] finished with error: Try a different location, or try again later: Google Compute Engine does not have enough resources available to fulfill request: us-central2-b