Pin Dcgm version 4.5.1-1

[saara-tyagi27]

Summary

Pin DCGM version to latest 4.5.1 version

Submission Checklist

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Please take the following actions before submitting this pull request.

• Fork your PR branch from the Toolkit "develop" branch (not main)
• Test all changes with pre-commit in a local branch #
• Confirm that "make tests" passes all tests
• Add or modify unit tests to cover code changes
• Ensure that unit test coverage remains above 80%
• Update all applicable documentation
• Follow Cluster Toolkit Contribution guidelines #

[gemini-code-assist]

Summary of Changes

Hello @saara-tyagi27, 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 enhances the robustness of the HPC Toolkit by introducing comprehensive validation for Google Cloud reservations, ensuring that resources specified in blueprints are correctly configured and accessible. Additionally, it standardizes the version of the Datacenter GPU Manager in a key machine learning blueprint, contributing to deployment stability.

Highlights

• DCGM Version Pinning: The datacenter-gpu-manager packages are now explicitly pinned to version 1:4.5.1-1 and held to prevent unintended upgrades in the a3ultra-slurm-blueprint.yaml example.
• Google Cloud Reservation Validation: New Go functions have been introduced to validate the existence and correct zone of Google Cloud reservations, providing detailed diagnostics and hints if a reservation is not found where expected.

Changelog

• examples/machine-learning/a3-ultragpu-8g/a3ultra-slurm-blueprint.yaml
  • Updated apt install commands to specify version 1:4.5.1-1 for datacenter-gpu-manager-4-cuda12, datacenter-gpu-manager-4-dev, and datacenter-gpu-manager-4-core.
  • Added apt-mark hold commands for the aforementioned DCGM packages to prevent automatic updates.
• pkg/validators/cloud.go
  • Imported the regexp package.
  • Defined reservationNameRegex and resKeyRegex for pattern matching reservation identifiers.
  • Implemented findReservationInOtherZones to list zones where a given reservation name exists.
  • Implemented TestReservationExists to perform a detailed check for a reservation's presence in a specific project and zone, including handling access issues, cross-zone searches, and providing HintError for misconfigured zones.
  • Implemented testReservationExists to parse reservation input, determine the owning project and target name, and call TestReservationExists.
• pkg/validators/validators.go
  • Added testReservationExistsName constant.
  • Registered testReservationExists in the implementations map.
  • Modified the defaults function to automatically add testReservationExists validators for blueprint variables whose names match resKeyRegex.
• pkg/validators/validators_test.go
  • Added new config.Validator definitions (resInp, resExists, myResInp, myResExists) for testing reservation validation.
  • Extended TestDefaultValidators with test cases to verify that testReservationExists is correctly included in the default validators when reservation_name or my_reservation variables are present in the blueprint.
• tools/validate_configs/validate_configs.sh
  • Appended test_reservation_exists to the VALIDATORS_TO_SKIP environment variable to exclude it from certain validation runs.

Activity

• The pull request includes a standard submission checklist, indicating that the author is following community contribution guidelines. This involves steps like forking from the develop branch, running pre-commit hooks, ensuring all tests pass, adding or modifying unit tests for coverage, and updating documentation.

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[gemini-code-assist]

Code Review

This pull request contains two significant changes. Firstly, it pins the datacenter-gpu-manager package to version 4.5.1-1 in the A3 UltraGPU Slurm example, which improves environment reproducibility. Secondly, it introduces a new validator for checking the existence and location of Google Cloud reservations. This validator is well-implemented with robust error handling and is automatically applied to relevant blueprint variables.

The code quality is excellent and includes appropriate tests for the new functionality.

One point of feedback on the process: the pull request title and description only mention the first change. To better reflect the scope of work, I recommend updating them to include the addition of the reservation validator.