Add GPU debugging output to workbench example#5
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I don't know the proper way to test in ODH (yet), so I tested this on a bare
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@coderabbitai full review |
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📝 WalkthroughWalkthroughAdds GPU-availability messaging to a Jupyter notebook by printing GPU status after checking Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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Warning There were issues while running some tools. Please review the errors and either fix the tool's configuration or disable the tool if it's a critical failure. 🔧 Ruff (0.15.5)examples/llmcompressor/workbench_example.ipynbUnexpected end of JSON input Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
Add GPU debugging information to the llmcompressor workbench example notebook to help users understand whether GPU acceleration is available.
This enhancement helps users verify that their GPU setup is working correctly and understand why they might be experiencing slower performance or abbreviated datasets.
Fixes #4