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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request resolves an issue where the system failed to correctly identify certain TPU node pool types. The solution involves a more robust method of determining the accelerator count by referencing a machine type registry, ensuring consistency with Pod specification generation and improving the overall reliability of TPU detection. Highlights
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| for tpu_spec in accelerators.TPUS.values(): | ||
| for chips, topo_spec in tpu_spec.topologies.items(): | ||
| if topo_spec.machine_type == machine_type: | ||
| pool_labels["cloud.google.com/gke-accelerator-count"] = str(chips) | ||
| break |
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The break on line 470 only exits the inner loop. The outer loop continues to iterate through the remaining tpu_specs even after a match is found, which is inefficient. You can use a for...else construct to break out of both loops once a match is found.
| for tpu_spec in accelerators.TPUS.values(): | |
| for chips, topo_spec in tpu_spec.topologies.items(): | |
| if topo_spec.machine_type == machine_type: | |
| pool_labels["cloud.google.com/gke-accelerator-count"] = str(chips) | |
| break | |
| for tpu_spec in accelerators.TPUS.values(): | |
| for chips, topo_spec in tpu_spec.topologies.items(): | |
| if topo_spec.machine_type == machine_type: | |
| pool_labels["cloud.google.com/gke-accelerator-count"] = str(chips) | |
| break | |
| else: | |
| continue | |
| break |
2 participants
Issue
The decorator was still failing to detect a few node pool types, even after #75.
Fix
Infers accelerator count from machine type using registry. This is robust because it uses the same source of truth as the Pod spec generation.
Tested this with multiple pod types internally, and it works.