Skip to content
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.

Sign up for GitHub

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

Jump to bottom

[BF16]For T5Small model on stock pytorch, implace add cost time on pvc-1100 worse than A100 * ratio #795

Open
xiaowangintel opened this issue Aug 21, 2024 · 0 comments
Open

[BF16]For T5Small model on stock pytorch, implace add cost time on pvc-1100 worse than A100 * ratio #795

xiaowangintel opened this issue Aug 21, 2024 · 0 comments
Labels
E2E loops_kernel Loops Kernel Backbone performance
Milestone
PT2.6

Comments

@xiaowangintel
Copy link

🐛 Describe the bug

For more details, please refer to https://jira.devtools.intel.com/browse/PYTORCHDGQ-5017?filter=-2.

Versions

pytorch commit:03480213dea1f60f6d12e7348904d2f3ef7314d0
torch-xpu-ops commit:718bc42c667539977e5eadb11ea4dec602544bf2
driver : hotfix_agama-ci-devel-881.19
pti : l_intel-pti-dev_p_0.9.0.38_offline.sh
basekit : l_BaseKit_p_2024.2.1.100_offline.sh
@xytintel xytintel added the loops_kernel Loops Kernel Backbone label Sep 10, 2024
@chuanqi129 chuanqi129 added this to the PT2.6 milestone Oct 14, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
E2E loops_kernel Loops Kernel Backbone performance
Projects
None yet
Milestone
PT2.6
Development

No branches or pull requests
3 participants
@chuanqi129 @xytintel @xiaowangintel