Comments (9)
To be sure, I am currently checking tit works properly with cuda 11.4.
After that, I will check it works with cuda11.6.
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@kenji-miyake is it possible to mix the rest of CUDA 11.6 with libnvinfer-plugin
11.4? If not, I'd wait until the new version is released.
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is it possible to mix the rest of CUDA 11.6 with libnvinfer-plugin 11.4? If not, I'd wait until the new version is released.
Actually, I believe it's impossible. We have to wait for the release in any case.
Also, I'm concerned about the dependencies in https://github.com/autowarefoundation/autoware.universe.
@yukkysaito knows well about this.
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@mitsudome-r @xmfcx @yukkysaito @esteve What do you think about this?
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It seems there is no 11.6
for libnvinfer
yet.
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/
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The new version should be available in both x86_64(amd64)
and sbsa(arm64)
.
#154 (comment)
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/
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I've created a helper tool to find CUDA versions.
https://github.com/kenji-miyake/find-cuda-versions
Now we can find if there are any corresponding versions to a certain CUDA version.
$ pip install git+https://github.com/kenji-miyake/find-cuda-versions.git
$ find-cuda-versions --cuda 11.6
[cudnn x86_64]
8.4.0.27-1+cuda11.6
[cudnn sbsa]
8.4.0.27-1+cuda11.6
[tensorrt x86_64]
[tensorrt sbsa]
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This pull request has been automatically marked as stale because it has not had recent activity.
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Updated to 11.6 in the humble
branch.
https://github.com/autowarefoundation/autoware.ai/blob/d2feaef806f93ceb60ae50d49ae98d904fef3e09/amd64.env#L5
But we should also consider updating to 11.7 because 11.6 isn't released to ubuntu 22.04 repo.
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/
Currently, we use 20.04 repo with ubuntu 22.04 because 11.7 doesn't have corresponding cuDNN and TensorRT yet.
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Related Issues (20)
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