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Inference optimization by adding CUDA graph for MFR model and provide multiprocessor demo #616

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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

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Modification

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If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

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If this PR introduces a new feature, it is better to list some use cases here and update the documentation.

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  • Pre-commit or other linting tools are used to fix the potential lint issues.
  • Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
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  • The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects.
  • CLA has been signed and all committers have signed the CLA in this PR.

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Thank you for your submission, we really appreciate it. Like many open-source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution. You can sign the CLA by just posting a Pull Request Comment same as the below format.


I have read the CLA Document and I hereby sign the CLA


0 out of 2 committers have signed the CLA.
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grimoire seems not to be a GitHub user. You need a GitHub account to be able to sign the CLA. If you have already a GitHub account, please add the email address used for this commit to your account.
You can retrigger this bot by commenting recheck in this Pull Request. Posted by the CLA Assistant Lite bot.

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2 participants