Allow float dtype when Autocast CPU Disabled

[leslie-fang-intel]

Stack from ghstack (oldest at bottom):

• -> Allow float dtype when Autocast CPU Disabled #107348

Summary
Fix the #100565 by allowing float32 data type when Autocast CPU is disabled. Current behavior is:

• When autocast is disabled and user passes in float data type, it works well.
• When autocast is enabled and user passes in float data type, a warn message throws UserWarning: In CPU autocast, but the target dtype is not supported. Disabling autocast. to disable autocast automatically

TestPlan

python -u -m pytest -s -v test_autocast.py -k test_autocast_disabled_with_fp32_dtype

cc @mcarilli @ptrblck @jgong5

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/107348

• 📄 Preview Python docs built from this PR
• 📄 Preview C++ docs built from this PR
• ❓ Need help or want to give feedback on the CI? Visit the bot commands wiki or our office hours

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit 70cc655 with merge base 4979a1b ():
💚 Looks good so far! There are no failures yet. 💚

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[albanD]

Sounds good!

[leslie-fang-intel]

@pytorchbot merge

[pytorchmergebot]

Merge failed

Reason: This PR needs a release notes: label
If your changes are user facing and intended to be a part of release notes, please use a label starting with release notes:.

If not, please add the topic: not user facing label.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "topic: not user facing"

For more information, see
https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.

Details for Dev Infra team

Raised by workflow job

[leslie-fang-intel]

@pytorchbot merge

[pytorchmergebot]

Merge started

Your change will be merged once all checks pass (ETA 0-4 Hours).

Learn more about merging in the wiki.

Questions? Feedback? Please reach out to the PyTorch DevX Team

Advanced Debugging

Check the merge workflow status
here

[ksmdnl]

Hi all, is this already in the stable version or when will this fix be included there?
Thanks!