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Deploy the Pretrained Model on Jetson Nano #11037

Merged
merged 7 commits into from
Jul 30, 2022
Merged

Deploy the Pretrained Model on Jetson Nano #11037

merged 7 commits into from
Jul 30, 2022

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BBuf
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@BBuf BBuf commented Apr 18, 2022

The fork branch corresponding to PR 8878 was accidentally deleted and it can't be merged. This PR will solve the problem, please approve it again, thanks.

@Hzfengsy

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It would be great if you can make the CI green

@Hzfengsy
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@BBuf Could you please update this PR? Then we can merge it quickly

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BBuf commented Jul 23, 2022

@BBuf Could you please update this PR? Then we can merge it quickly

Ok, I will deal with it quickly.

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BBuf commented Jul 30, 2022

this pr has passed ci, please merge it, thanks. @Hzfengsy

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LGTM. Thanks @BBuf

@Hzfengsy Hzfengsy merged commit dff5c97 into apache:main Jul 30, 2022
xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Create deploy_model_on_nano.py

add deploy_model_on_nano.py

* Update deploy_model_on_nano.py

* fix doc build bug

* Update deploy_model_on_nano.py

* fix ci error

* Update deploy_model_on_nano.py
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twmht commented Jul 26, 2023

@BBuf

Have you ever tried to use auto scheduler on jetson nano or xavier nx?

https://discuss.tvm.apache.org/t/compiled-model-from-auto-scheduler-on-jetson-is-pretty-slower-in-jetson-nx/15393

Do you have any idea about the above problem? I am not sure if these attrs(https://github.com/apache/tvm/pull/11037/files#diff-1cf2cf8c56d8cc56b94accf45566c4d908f87591a3b86186fc7242d23f092782R195) are important when using auto scheduler

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3 participants