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Add TVM inference capability #628

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5 tasks done
ambroise-arm opened this issue Apr 4, 2022 · 4 comments
Closed
5 tasks done

Add TVM inference capability #628

ambroise-arm opened this issue Apr 4, 2022 · 4 comments
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component:perception Advanced sensor data processing and environment understanding. (auto-assigned) priority:high High urgency and importance.

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@ambroise-arm
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ambroise-arm commented Apr 4, 2022

Checklist

  • I've read the contribution guidelines.
  • I've searched other issues and no duplicate issues were found.
  • I've agreed with the maintainers that I can plan this task.

Description

Port the tvm_utility and neural_networks packages from Autoware.Auto.

Purpose

Provide TVM inference capability in autoware.universe.

Possible approaches

Either:

  1. Port the packages as they are (downloading compiled artifacts from an S3 bucket).
  2. Or, because the current way of getting the artifacts is not perfect, change it to use git-lfs.

Discussion about this: autowarefoundation/autoware#150

Definition of done

  • tvm_utility and neural_networks are merged
  • a docker setup exists that enables running the inference on a GPU backend (vulkan); if not with the default setup, then a dedicated one must be offered to the user
@ambroise-arm ambroise-arm added the priority:high High urgency and importance. label Apr 4, 2022
@ambroise-arm ambroise-arm added this to the Bus ODD May Milestone milestone Apr 4, 2022
@ambroise-arm ambroise-arm self-assigned this Apr 4, 2022
@mitsudome-r mitsudome-r added the component:perception Advanced sensor data processing and environment understanding. (auto-assigned) label Apr 19, 2022
@mitsudome-r
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related issue #908

@ambroise-arm
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Will need to address autowarefoundation/autoware#2427 for the vulkan backend to work.

@xmfcx
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xmfcx commented Aug 16, 2022

#1181 is waiting to be reviewed.

@ambroise-arm
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done: all merged

knzo25 pushed a commit to knzo25/autoware.universe that referenced this issue Jul 3, 2023
kyoichi-sugahara pushed a commit that referenced this issue Sep 16, 2023
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Labels
component:perception Advanced sensor data processing and environment understanding. (auto-assigned) priority:high High urgency and importance.
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5 participants