Fix outdated torch_logs tutorial by removing CUDA device check

[ManasVardhan]

Fix

The torch_logs.py tutorial was wrapped in a CUDA device capability check:

if torch.cuda.get_device_capability() < (7, 0):
    print("Skipping because torch.compile is not supported on this device.")
else:
    # ... entire tutorial ...

When built on CI without a compatible GPU, this caused the rendered docs to show only "Skipping because torch.compile is not supported on this device." instead of actual compilation log output.

Changes

• Removed the CUDA device capability check that gated the entire tutorial
• Use dynamic device selection (cuda if available, otherwise cpu)
• torch.compile works on CPU, so the tutorial now produces meaningful log output regardless of build environment

Fixes pytorch/pytorch#137285

cc @PaliC @mlazos

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3770

• 📄 Preview Python docs built from this PR

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As of commit 971bfec with merge base 6f800e1 ():
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[ManasVardhan]

I've signed the CLA. Could you re-run the CLA check? Thanks!

[mlazos]

Hi can you just also allow this on cpu - torch.compile is not supported on cuda devices lower than that version and users can hit strange errors if it isn't gated.

[mlazos]

Take a look at my other comments, please leave the version gate, but also allow cpu.

[ManasVardhan]

Hey, good call! Updated the gate so it only skips on CUDA devices with capability < 7.0. If there's no CUDA or if the device is good enough, it just picks the right device (CPU or CUDA) and runs normally. Should work fine on CPU-only machines now too.