-
Notifications
You must be signed in to change notification settings - Fork 26.3k
Minor ScanKernels.cu cleanup #65350
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Minor ScanKernels.cu cleanup #65350
Conversation
- Replace THCNumerics with `at::_isnan` - Replace `contiguous` with `expect_contiguous` - Don't use `contiguous` on output tensors. Instead skip the copy and just create a new empty tensor.
CI Flow Status⚛️ CI FlowRuleset - Version:
You can add a comment to the PR and tag @pytorchbot with the following commands: # ciflow rerun, "ciflow/default" will always be added automatically
@pytorchbot ciflow rerun
# ciflow rerun with additional labels "-l <ciflow/label_name>", which is equivalent to adding these labels manually and trigger the rerun
@pytorchbot ciflow rerun -l ciflow/scheduled -l ciflow/slowFor more information, please take a look at the CI Flow Wiki. |
🔗 Helpful links
💊 CI failures summary and remediationsAs of commit 1a9a3c7 (more details on the Dr. CI page):
🕵️ 2 new failures recognized by patternsThe following CI failures do not appear to be due to upstream breakages:
|
| Job | Step | Action |
|---|---|---|
| pytorch android gradle custom build single architecture (for PR) | 🔁 rerun |
This comment was automatically generated by Dr. CI (expand for details).
Follow this link to opt-out of these comments for your Pull Requests.Please report bugs/suggestions to the (internal) Dr. CI Users group.
ngimel
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks for the clean up!
|
@ngimel has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator. |
at::_isnancontiguouswithexpect_contiguouscontiguouson output tensors. Instead skip the copy andjust create a new empty tensor.