-
Notifications
You must be signed in to change notification settings - Fork 24.7k
Set prop_kind to forward_inference when grad is not needed for mkldnn_convolution_pointwise #142855
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
Conversation
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/142855
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 3bf97f7 with merge base 30d8b30 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
29c0d06
to
f64c22f
Compare
…_convolution_pointwise
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.
Why does the perf would be different?
Compared with |
@pytorchbot merge |
Merge startedYour 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 |
prop_kind
of MKLDNN convolution is alwaysdnnl_forward
, i.e.,dnnl_forward_training
, regardless of whether grad is needed. Settingprop_kind
todnnl_forward_inference
for mkldnn_convolution_pointwise could have better performance.cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10