ci: Upperbound cvcuda to 0.15

[thomasdhc]

Description

Usage

# Add snippet demonstrating usage

Checklist

• I am familiar with the Contributing Guide.
• New or Existing tests cover these changes.
• The documentation is up to date with these changes.

[greptile-apps]

Greptile Overview

Greptile Summary

This PR adds an upperbound constraint (<=0.15.0) to the cvcuda_cu12 dependency, effectively preventing version 0.16.0 from being installed. The lock file has been updated to pin cvcuda-cu12 to version 0.15.0 (downgraded from 0.16.0).

• Added upperbound <=0.15.0 to cvcuda_cu12 in the video_cuda12 optional dependency group in pyproject.toml:149
• Updated uv.lock to reflect cvcuda-cu12==0.15.0 with corresponding wheel hashes

The PR description does not explain why this upperbound is necessary. This could indicate a compatibility issue, breaking API changes, or bug in version 0.16.0 that affects the video processing functionality in nemo_curator/utils/nvcodec_utils.py.

Confidence Score: 4/5

• This PR is safe to merge with minimal risk, though the lack of explanation for the version constraint is a concern
• The change is straightforward - adding an upperbound to a dependency. The implementation is correct and the lock file is properly updated. However, the score is not a 5 because: (1) the PR description is incomplete and doesn't explain why this upperbound is necessary, (2) there's no mention of testing to verify the change resolves the issue, and (3) the checklist items are not completed
• No files require special attention

Important Files Changed

Filename	Overview
pyproject.toml	Added upperbound <=0.15.0 to cvcuda_cu12 dependency in video_cuda12 optional dependency group
uv.lock	Locked cvcuda-cu12 to version 0.15.0 (downgraded from 0.16.0) with updated wheel hashes

_{Last reviewed commit: 605782b}

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[ayushdg]

Looks like this didn't fix it. In addition to this the tests still fail because pycuda has no attribute device