You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
For Vison Transformer in Faster-RCNN model, adds a fuse that replaces the scaled_dp_attention in the self-attention with a single op.
On Cascade Lake, this optimization leads to a 1.67X speedup in the VisionTransformer block and a 1.46X improvement (reducing the latency from 3.8s to 2.6s) in the end-to-end inference time for Faster-RCNN model (from BML).
On Sapphire Rapids, the optimization has the potential to achieve a speedup of bf16/int8 by reducing the amount of memory access.
你的PR提交成功，感谢你对开源项目的贡献!
请关注后续CI自动化测试结果，详情请参考Paddle-CI手册。
Your PR has been submitted. Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.
❌ The PR is not created using PR's template. You can refer to this Demo.
Please use PR's template, it helps save our maintainers' time so that more developers get helped.
很抱歉，经过我们的反复讨论，你的PR暂未达到合入标准，请阅读飞桨原生算子开发规范，你可以重新提交新的PR，我们先将此PR关闭，感谢你的贡献。
Sorry to inform you that through our discussion, your PR fails to meet the merging standard (Reference: Paddle Custom Operator Design Doc). You can also submit an new one. Thank you.
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
abenmao
force-pushed
the
fused_vit_atten
branch
3 times, most recently
from
PR types
Performance optimization
PR changes
Others
Description
For Vison Transformer in Faster-RCNN model, adds a fuse that replaces the scaled_dp_attention in the self-attention with a single op.
On Cascade Lake, this optimization leads to a 1.67X speedup in the VisionTransformer block and a 1.46X improvement (reducing the latency from 3.8s to 2.6s) in the end-to-end inference time for Faster-RCNN model (from BML).
On Sapphire Rapids, the optimization has the potential to achieve a speedup of bf16/int8 by reducing the amount of memory access.