# Torchvision is not supported?

**URL:** <https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791>\
**Category:** Jetson TX2\
**Tags:** pytorch\
**Created:** [June 7, 2023, 1:35am UTC](https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791 "2023-06-07T01:35:29Z")\
**Posts on this page:** 6\
**Page:** 1

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**Author:** ![djqabcdefg](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@djqabcdefg](https://forums.developer.nvidia.com/u/djqabcdefg)\
**Post date:** [June 7, 2023, 1:35am UTC](https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791/1 "2023-06-07T01:35:29Z")

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ERROR: torchvision-0.12.0a0+9b5a3fe-cp38-cp38-linux\_aarch64.whl is not a supported wheel on this platform.

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**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [June 7, 2023, 2:51am UTC](https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791/3 "2023-06-07T02:51:23Z")

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Hi,

It looks like the package is built for Ubuntu 20.04 rather than JetPack 4 which is 18.04.  
You can build TorchVision from the source. Steps can be found in the below topic:

> [@PyTorch for Jetson](https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048):
>
> Below are pre-built PyTorch pip wheel installers for Jetson Nano, TX1/TX2, Xavier, and Orin with JetPack 4.2 and newer. Download one of the PyTorch binaries from below for your version of JetPack, and see the installation instructions to run on your Jetson. These pip wheels are built for ARM aarch64 architecture, so run these commands on your Jetson (not on a host PC). You can also use the pre-built [l4t-pytorch](https://ngc.nvidia.com/catalog/containers/nvidia:l4t-pytorch) and [l4t-ml](https://ngc.nvidia.com/catalog/containers/nvidia:l4t-ml) container images and [Dockerfiles](https://github.com/dusty-nv/jetson-containers). PyTorch pip wheels JetPack 5 
> 
> > **PyTo…**
> >

**Instructions**  
\> Installation \> torchvision

Thanks.

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<div class="post-metadata">

**Author:** ![djqabcdefg](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@djqabcdefg](https://forums.developer.nvidia.com/u/djqabcdefg)\
**Post date:** [June 7, 2023, 8:07am UTC](https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791/4 "2023-06-07T08:07:05Z")

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I have tried the methods mentioned in it, but it didn’t work, Whether there is a link to the “wheel file” available

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**Author:** ![dusty\_nv](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/dusty_nv/32/14043_2.png) [@dusty\_nv](https://forums.developer.nvidia.com/u/dusty_nv)\
**Post date:** [June 7, 2023, 3:30pm UTC](https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791/5 "2023-06-07T15:30:57Z")

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@djqabcdefg we don’t have pre-built torchvision wheels for JetPack with CUDA enabled, although you can use the [l4t-pytorch container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch) which comes with PyTorch+torchvision pre-installed.

What is the error you got when trying to build torchvision?

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<div class="post-metadata">

**Author:** ![djqabcdefg](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@djqabcdefg](https://forums.developer.nvidia.com/u/djqabcdefg)\
**Post date:** [June 8, 2023, 12:55am UTC](https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791/7 "2023-06-08T00:55:26Z")

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I have already installed a low version of torch(1.10) and the corresponding torchvision(0.11)

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**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\
**Post date:** [June 27, 2023, 5:41am UTC](https://forums.developer.nvidia.com/t/torchvision-is-not-supported/255791/9 "2023-06-27T05:41:58Z")

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Closed on June 27, 2023, 5:41am UTC

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