[GKE] Avoid erroring out for unknown instance type when GKE autoscaler is used

[Michaelvll]

A user encountered an issue when a GKE has a node pool with instance type that does not appear in the GCP catalog, with the autoscaler: gke set in config. The error only happens when scaling from 0 (to confirm?).

ValueError: No instance type c3d-highmem-16-lssd found.

We should add the following instance type: c3d, c4, c4a, c4d, n4 to catalog as well

Tested (run the relevant ones):

• [ ] Code formatting: install pre-commit (auto-check on commit) or bash format.sh
• [ ] Any manual or new tests for this PR (please specify below)
  • [x] GKE cluster with a c3d-highmem-16-lssd node pool. Set the autoscaler: gke, and run sky launch --cpus 10, it outputs the optimizer table correctly.
• [ ] All smoke tests: /smoke-test (CI) or pytest tests/test_smoke.py (local)
• [ ] Relevant individual tests: /smoke-test -k test_name (CI) or pytest tests/test_smoke.py::test_name (local)
• [ ] Backward compatibility: /quicktest-core (CI) or pytest tests/smoke_tests/test_backward_compat.py (local)

[gemini-code-assist[bot]]

Summary of Changes

Hello @Michaelvll, I'm Gemini Code Assist[^1]! 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 enhances the robustness of the GKE autoscaler by introducing error handling for unrecognized instance types during node pool compatibility checks. Previously, encountering an instance type not present in the GCP catalog would cause the autoscaler to error. The updated logic now gracefully handles such cases by logging the issue and allowing the check to pass, ensuring continuous operation for GKE clusters utilizing newer or less common machine types.

Highlights

• GKE Autoscaler Resilience: Implemented error handling within the GKE autoscaler's node pool fit check to gracefully manage unknown instance types, preventing the autoscaler from crashing.
• Instance Type Recognition: The clouds.GCP.get_vcpus_mem_from_instance_type call is now wrapped in a try-except ValueError block; if an instance type is unrecognized, an error is logged, and the check is bypassed, assuming the node pool can satisfy the request.
• New Instance Types: The pull request description notes that new instance types like c3d, c4, c4a, c4d, n4 should be added to the GCP catalog to prevent future issues with these specific types.

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