Fix torch_logs tutorial to run on CPU when CUDA unavailable

[ajaykesarwani]

Fixes pytorch/pytorch#137285

The torch_logs tutorial was skipping execution on machines without a
modern CUDA GPU (including the Sphinx doc build server), resulting in
"Skipping because torch.compile is not supported on this device."
being shown in the documentation instead of actual log output.

Changes:

• Removed the hard torch.cuda.get_device_capability() check
• Added device = "cuda" if torch.cuda.is_available() else "cpu" fallback
• Fixed indentation of code that was inside the old else: block
• Updated the .. note:: to mention that CUDA is recommended but not required

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3950

• 📄 Preview Python docs built from this PR

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