# PyTorch and torchvision versions are incompatible **URL:** \ **Category:** Jetson AGX Xavier\ **Tags:** pytorch\ **Created:** [October 19, 2022, 4:37am UTC](https://forums.developer.nvidia.com/t/pytorch-and-torchvision-versions-are-incompatible/231225 "2022-10-19T04:37:06Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![Heartful-echo](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/heartful-echo/32/211845_2.png) [@Heartful-echo](https://forums.developer.nvidia.com/u/Heartful-echo)\ **Post date:** [October 19, 2022, 4:37am UTC](https://forums.developer.nvidia.com/t/pytorch-and-torchvision-versions-are-incompatible/231225/1 "2022-10-19T04:37:06Z")
Hi I am using the below JETPACK with a JETSON AGX Xavier. JetPack 5.0.2 (L4T R35.1.0) I tried the NVIDIA L4T PyTorch from the NGC catalog, but the 32GB Xavier didn’t have enough disk space! ! Therefore the container cannot be used. I installed the whl of PyTorch v1.11.0 by following the forum content below. [https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048](https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048) pytorch can use cuda. So far so good. ![a](https://global.discourse-cdn.com/nvidia/original/3X/b/7/b75dd57aba951903be286b1291edc22db586de1c.png) I installed pytorch v1.11.0, so torchvision installed 0.12.0, see below. [https://github.com/pytorch/vision#installation](https://github.com/pytorch/vision#installation) I installed torchvision using pip. However! When using YOLOv5 it outputs the error below. ```auto RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch. __version__ and your torchvision version with torchvision. __version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install. ``` It’s very troubled. help me. ---
**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:** [October 19, 2022, 6:40am UTC](https://forums.developer.nvidia.com/t/pytorch-and-torchvision-versions-are-incompatible/231225/3 "2022-10-19T06:40:28Z")
Hi, Please try our PyTorch1.13.0 nv22.09 with TorchVision 0.15.0. Details can be found in the below topic: > [@TensorRT INT8 calibration python API](https://forums.developer.nvidia.com/t/tensorrt-int8-calibration-python-api/227297/22): > > Hello @AastaLLL , I think I have resolved the problem. Today 05/10/2022 Nvidia has uploaded a new version of Torch+CUDA support compatible with Jetpack 5.0.2. So I have installed the last one and I have build Torchvision from source [here](https://github.com/pytorch/vision). After doing that, I have Torch and TorchVision both with CUDA support I think. [image] I tried and ran the val.py scipt from yolov5 and it worked. Now I wil try to run it using a TensorRT engine, I hope there will be no issues. I will keep you updated. T… Thanks. ---
**Author:** ![Heartful-echo](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/heartful-echo/32/211845_2.png) [@Heartful-echo](https://forums.developer.nvidia.com/u/Heartful-echo)\ **Post date:** [October 19, 2022, 6:56am UTC](https://forums.developer.nvidia.com/t/pytorch-and-torchvision-versions-are-incompatible/231225/4 "2022-10-19T06:56:22Z")
@AastaLLL Thanks for your comment. Where can I get PyTorch1.13.0 nv22.09 and TorchVision 0.15.0? I want PyTorch and TorchVision in whl format. Thank you ---
**Author:** ![Heartful-echo](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/heartful-echo/32/211845_2.png) [@Heartful-echo](https://forums.developer.nvidia.com/u/Heartful-echo)\ **Post date:** [October 19, 2022, 7:27am UTC](https://forums.developer.nvidia.com/t/pytorch-and-torchvision-versions-are-incompatible/231225/5 "2022-10-19T07:27:18Z")
I have resolved this issue!! I’ll record the command I typed for reference. I use PyTorch1.11.0 so torchvision specified 0.12.0. This is the rule. ```auto git clone --recursive --branch v0.12.0 https://github.com/pytorch/vision --depth 1 cd vision python3 setup.py install --user pip3 uninstall torch torchvision sudo pip3 install torch-1.11.0-cp38-cp38-linux_aarch64.whl ``` ```auto pip3 list ``` ![b](https://global.discourse-cdn.com/nvidia/original/3X/c/7/c73a3583223847a9ee891c26fea6fb6dcfb237ec.png) I got YOLOv5 working. It’s working as expected. ![work.PNG](https://global.discourse-cdn.com/nvidia/original/3X/c/5/c555fe4048fd4a84ccd30955ed507503c49a9f39.jpeg) ---
**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:** [October 20, 2022, 4:31am UTC](https://forums.developer.nvidia.com/t/pytorch-and-torchvision-versions-are-incompatible/231225/6 "2022-10-20T04:31:11Z")
Thanks for the feedback. Good to know it works now. ---
**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:** [November 9, 2022, 5:18am UTC](https://forums.developer.nvidia.com/t/pytorch-and-torchvision-versions-are-incompatible/231225/8 "2022-11-09T05:18:13Z")
This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.