can't install latest version of torchvision using pip, even though I have the latest dependencies

🐛 Describe the bug

First of all, the issue I’m about to describe is similar to #4076, but I don’t have opencv installed and I’m using pip. Also, I’m not sure if I should create this issue on torchvision or pip’s Github page.

I’m trying to install torchvision with pip. I use Arch Linux, and I have a recent version of torch (1.10.2) installed through Arch’s python-pytorch-cuda package. I also have python 3.10.2 installed. When I try to install torchvision using pip, I expect it to install the latest version: 0.11.1. However, it will only install version 0.2.2.post3.

$ pip install --user torchvision
Requirement already satisfied: torchvision in /home/trevor/.local/lib/python3.10/site-packages (0.2.2.post3)
Requirement already satisfied: torch in /usr/lib/python3.10/site-packages (from torchvision) (1.10.2)
Requirement already satisfied: six in /usr/lib/python3.10/site-packages (from torchvision) (1.16.0)
Requirement already satisfied: numpy in /home/trevor/.local/lib/python3.10/site-packages (from torchvision) (1.22.1)
Requirement already satisfied: pillow>=4.1.1 in /home/trevor/.local/lib/python3.10/site-packages (from torchvision) (9.0.0)
Requirement already satisfied: typing_extensions in /usr/lib/python3.10/site-packages (from torch->torchvision) (4.0.1)

I have also tested this on another machine without CUDA support (I installed torch through Arch’s python-pytorch package) and I get the same result.

Versions

Collecting environment information… PyTorch version: 1.10.2 Is debug build: False CUDA used to build PyTorch: 11.5 ROCM used to build PyTorch: N/A

OS: Arch Linux (x86_64) GCC version: (GCC) 11.1.0 Clang version: 13.0.0 CMake version: version 3.22.2 Libc version: glibc-2.33

Python version: 3.10.2 (main, Jan 15 2022, 19:56:27) [GCC 11.1.0] (64-bit runtime) Python platform: Linux-5.16.3-arch1-1-x86_64-with-glibc2.33 Is CUDA available: True CUDA runtime version: 11.5.119 GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1080 Ti Nvidia driver version: 495.46 cuDNN version: Probably one of the following: /usr/lib/libcudnn.so.8.3.0 /usr/lib/libcudnn_adv_infer.so.8.3.0 /usr/lib/libcudnn_adv_train.so.8.3.0 /usr/lib/libcudnn_cnn_infer.so.8.3.0 /usr/lib/libcudnn_cnn_train.so.8.3.0 /usr/lib/libcudnn_ops_infer.so.8.3.0 /usr/lib/libcudnn_ops_train.so.8.3.0 HIP runtime version: N/A MIOpen runtime version: N/A

Versions of relevant libraries: [pip3] numpy==1.22.1 [pip3] torch==1.10.2 [pip3] torchvision==0.2.2.post3 [conda] Could not collect

[oke-aditya]

Aah this issue of torchvision 0.2.2 is very redundant. See #4273 #4665 #4648

Also CUDA 11.5 is not supported currently.

You can try with CUDA 11.3 as per instructions from docs https://pytorch.org/

pip3 install torch==1.10.2+cu113 torchvision==0.11.3+cu113 torchaudio==0.10.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

[pmeier]

So is this because I’m using Python 3.10.2?

Yes. There is currently no version of PyTorch that supports Python 3.10. The next release in late February / early March will. I suggest you use something like pyenv or conda to create a virtual environment with Python < 3.10 and go from there.