ncnn Roadmap: Qualcomm GPU optimizations

jum4pzuy  于 2个月前  发布在  其他
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We are highly interested in improving GPU performance on Qualcomm GPUs under Android.
Is there any roadmap or Work In Progress/PR that we can help to work on?

Currently the docs say:
known work, but speed may not be fast enough

Related articles:
https://github.com/Tencent/ncnn/wiki/FAQ-ncnn-vulkan#my-model-runs-slower-on-gpu-than-cpu
https://github.com/Tencent/ncnn#supported-platform-matrix

ezykj2lf

ezykj2lf1#

Hello

Possible future gpu performance acceleration comes from workgroup size tuning, kernel optimization based on subgroup operation etc.

I planned to implement gpu int8 inference this year, but recently I am working on the new pytorch model conversion tool

We welcome any kind of contribution, if you already have some ideas for gpu optimization, welcome to communicate :D

hwazgwia

hwazgwia2#

int8 often comes with loss in accuracy.
I think focusing on improving the performance of single operations or layers (if there is room for improvements) would be more beneficial.

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