# UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10010) **URL:** \ **Category:** windows\ **Created:** [January 13, 2022, 3:51am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547 "2022-01-13T03:51:01Z")\ **Posts on this page:** 20\ **Page:** 1
**Author:** ![dan\_tyvan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/dan_tyvan/32/45735_2.png) [@dan\_tyvan](https://discuss.pytorch.org/u/dan_tyvan)\ **Post date:** [January 13, 2022, 3:51am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/1 "2022-01-13T03:51:01Z")
Hi Everyone, I’m having trouble with this error. The error message is not quite clear to me, in one part it says NVIDIA driver, and in the other part it says CUDA driver, and each time I am not sure what they are referring to as it is too generic. > “The NVIDIA driver on your system is too old (found version 10010)” How do I interpret found version 10010? Is this the GPU driver (which has version 25.21.14.2531), or is it the version of CUDA (10.2.89), or something else? > “go to: [https://pytorch.org](https://pytorch.org) to install a PyTorch version that has been co > mpiled with your version of the CUDA driver.” Is this PyTorch version compatible with CUDA 10.2.89 or with whatever is version 10010? **Environment Details:** Python - `python --version` - 3.9.7 Pytorch - `print(torch. __version__ )` - 1.10.1 Installed with: - conda installpytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch CUDA - installed - `nvcc --version` - nvcc: NVIDIA (R) Cuda compiler driver - Copyright (c) 2005-2019 NVIDIA Corporation - Built on Wed\_Oct\_23\_19:32:27\_Pacific\_Daylight\_Time\_2019 - Cuda compilation tools, release 10.2, V10.2.89 GPU Card - NVIDIA GeForce GTX 670MX - Driver Version: 25.21.14.2531 - Driver Date: 9/04/2019 OS - Windows 8.1 SP 3 - Version 6.3.9600 Where the error is occurring: ```auto Python 3.9.7 (default, Sep 16 2021, 16:59:28) [MSC v.1916 64 bit (AMD64)] :: Ana conda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> torch.cuda.is_available() C:\anaconda3\lib\site-packages\torch\cuda\ __init__.py:80 : UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installi ng a new version from the URL: http://www.nvidia.com/Download/index.aspx Alterna tively, go to: https://pytorch.org to install a PyTorch version that has been co mpiled with your version of the CUDA driver. (Triggered internally at ..\c10\cu da\CUDAFunctions.cpp:112.) return torch._C._cuda_getDeviceCount() > 0 False ``` I used the table on [Start Locally | PyTorch](https://pytorch.org/get-started/locally/) to obtain the installation command as follows: > conda installpytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch Thank you ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [January 13, 2022, 6:50am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/2 "2022-01-13T06:50:13Z")
Could you check the driver version via `nvidia-smi`, as 10010 would indicate `10.1` while your `nvcc` compiler is 10.2. ---
**Author:** ![dan\_tyvan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/dan_tyvan/32/45735_2.png) [@dan\_tyvan](https://discuss.pytorch.org/u/dan_tyvan)\ **Post date:** [January 13, 2022, 10:32pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/3 "2022-01-13T22:32:39Z")
Hi @ptrblck Thanks for replying to my topic! I have checked this and it does indeed say 10.1. I am guessing `nvcc` and `nvidia-smi` both need to either say 10.1 or 10.2 in order for my environment to be set up correctly. ```auto Fri Jan 14 08:30:03 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 425.31 Driver Version: 425.31 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 670MX WDDM | 00000000:01:00.0 N/A | N/A | | N/A 36C P8 N/A / N/A | 314MiB / 3072MiB | N/A Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 Not Supported | +-----------------------------------------------------------------------------+ ``` ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [January 13, 2022, 10:42pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/4 "2022-01-13T22:42:42Z")
> [@dan\_tyvan](#): > > I am guessing `nvcc` and `nvidia-smi` both need to either say 10.1 or 10.2 in order for my environment to be set up correctly. Not necessarily, as you could install the NVIDIA driver and the compiler separately (as is apparently the case in your setup). To solve the initial error you would have to update the driver to a newer version. ---
**Author:** ![dan\_tyvan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/dan_tyvan/32/45735_2.png) [@dan\_tyvan](https://discuss.pytorch.org/u/dan_tyvan)\ **Post date:** [January 14, 2022, 6:06am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/5 "2022-01-14T06:06:00Z")
Thanks very much for that. It did not seem like I would have much luck updating my NVIDIA drivers as I already had the latest release for my card, so instead I have used the option to downgrade pytorch. Seems the latest that I can get for Cuda 10.1 is pytorch 1.8.1, according to [Previous PyTorch Versions | PyTorch](https://pytorch.org/get-started/previous-versions/) So I have now run `pip install torch==1.8.1+cu101 torchvision==0.9.1+cu101 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html` Making progress now ```auto >>> import torch >>> torch.cuda.is_available() False ``` At least it’s not giving me the error this time! ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [January 14, 2022, 5:32pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/6 "2022-01-14T17:32:47Z")
I just saw that you are using a `670MX`, which has a compute capability of `3.0` and is not supported anymore (the lowest compute capability supported in the binaries would be `3.5`). ---
**Author:** ![dan\_tyvan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/dan_tyvan/32/45735_2.png) [@dan\_tyvan](https://discuss.pytorch.org/u/dan_tyvan)\ **Post date:** [January 15, 2022, 4:27am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/7 "2022-01-15T04:27:39Z")
Thanks, where would I see the old supported binaries for 3.0? ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [January 15, 2022, 7:50pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/8 "2022-01-15T19:50:20Z")
I don’t know which binaries shipped with this older compute capability, so you would have to install some older releases and check if they would be working. As a starter I would probably use `1.0` and then try to bisect the releases. Alternatively, you could try to build from source, but I’m also unsure if some native kernels use methods introduced for later compute capabilities. ---
**Author:** ![Stacy\_Maimoon](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/stacy_maimoon/32/46020_2.png) [@Stacy\_Maimoon](https://discuss.pytorch.org/u/Stacy_Maimoon)\ **Post date:** [January 23, 2022, 7:54pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/9 "2022-01-23T19:54:35Z")
Hi! I have had the exactly the same problem, with the following hard/software properties: Version: 0.10.251 64 bit [http://cuda-z.sf.net/](http://cuda-z.sf.net/) OS Version: Windows x86 6.2.9200 Driver Version: 425.91 Driver Dll Version: 10.10 (25.21.14.2591) Runtime Dll Version: 6.50 ## Core Information ``` Name: Quadro K2100M Compute Capability: 3.0 Clock Rate: 666.5 MHz PCI Location: 0:1:0 Multiprocessors: 3 (576 Cores) Threads Per Multiproc.: 2048 Warp Size: 32 Regs Per Block: 65536 Threads Per Block: 1024 Threads Dimensions: 1024 x 1024 x 64 Grid Dimensions: 2147483647 x 65535 x 65535 Watchdog Enabled: Yes Integrated GPU: No Concurrent Kernels: Yes Compute Mode: Default Stream Priorities: No ``` … (as reported by cuda-z). What I did, was the following: I uninstalled all previous attempts to install CUDA for pytorch -and - simply copied your ‘pip install’ string in windows shell. After the installation, I again copied ```auto >>> import torch >>> torch.cuda.is_available() ``` and - obtained True! What is then the difference between you case and mine? ---
**Author:** ![Stacy\_Maimoon](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/stacy_maimoon/32/46020_2.png) [@Stacy\_Maimoon](https://discuss.pytorch.org/u/Stacy_Maimoon)\ **Post date:** [January 25, 2022, 5:01pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/10 "2022-01-25T17:01:48Z")
My joy was premature. At the very first attempt to really use CUDA (which is ‘available’, according to PyTorch output), I am getting: ``` UserWarning: Found GPU0 Quadro K2100M which is of cuda capability 3.0. PyTorch no longer supports this GPU because it is too old. The minimum cuda capability that we support is 3.5. ``` and: ``` RuntimeError: CUDA error: no kernel image is available for execution on the device. ``` Is there any possibility, after all, to use NVIDIA Quadro K2100M as CUDA enhancer for PyTorch? ---
**Author:** ![dan\_tyvan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/dan_tyvan/32/45735_2.png) [@dan\_tyvan](https://discuss.pytorch.org/u/dan_tyvan)\ **Post date:** [February 9, 2022, 11:16am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/11 "2022-02-09T11:16:25Z")
Thanks for your reply, what I am trying now is going back to whatever was the state of the art in 2015. So I am trying Python 3.5 and pytorch 1.0. Will post here how it goes. ---
**Author:** ![Amey\_Kore](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/amey_kore/32/45601_2.png) [@Amey\_Kore](https://discuss.pytorch.org/u/Amey_Kore)\ **Post date:** [November 29, 2022, 12:42am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/12 "2022-11-29T00:42:47Z")
@dan_tyvan Hey did it work? I am facing the same issue. ---
**Author:** ![palguna\_gopireddy](https://discuss.pytorch.org/letter_avatar_proxy/v4/letter/p/df705f/32.png) [@palguna\_gopireddy](https://discuss.pytorch.org/u/palguna_gopireddy)\ **Post date:** [January 20, 2023, 11:46am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/13 "2023-01-20T11:46:27Z")
You just have to update the driver version. Nothing much is needed. Cuda does not support older versions of GPU. ---
**Author:** ![dan\_tyvan](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/dan_tyvan/32/45735_2.png) [@dan\_tyvan](https://discuss.pytorch.org/u/dan_tyvan)\ **Post date:** [February 12, 2024, 9:52am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/15 "2024-02-12T09:52:26Z")
Hey, no it didn’t. I’ve given up with this hardware 🤷‍♂️ ---
**Author:** ![Garfius](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/garfius/32/69927_2.png) [@Garfius](https://discuss.pytorch.org/u/Garfius)\ **Post date:** [May 10, 2024, 9:30am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/16 "2024-05-10T09:30:39Z")
Hello, my case was is similar to yours, just documenting what worked after MANY HOURS working. Machine: Asus X555LJ GPU: Nvidia GeForce 920M - PCI\VEN\_10DE&DEV\_1299 Windows driver version: 25.21.14.2600 Driver Version: 425.31 CUDA Version: 10.1 Python: 3.8 .\pip.exe install numpy .\pip.exe install torch==1.8.1+cu101 -f [https://download.pytorch.org/whl/torch\_stable.html](https://download.pytorch.org/whl/torch_stable.html) After all this i got: torch.cuda.is\_available() True​:tada:🎉 ---
**Author:** ![Stefani\_Love](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/stefani_love/32/62527_2.png) [@Stefani\_Love](https://discuss.pytorch.org/u/Stefani_Love)\ **Post date:** [July 20, 2024, 4:24am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/17 "2024-07-20T04:24:08Z")
Both have to be updated to the latest or it won’t work simple as that. ---
**Author:** ![Miroslav\_Ilias](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/miroslav_ilias/32/78972_2.png) [@Miroslav\_Ilias](https://discuss.pytorch.org/u/Miroslav_Ilias)\ **Post date:** [December 22, 2025, 9:33pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/18 "2025-12-22T21:33:12Z")
Hello, I have the same problem, see below. What torch version do I have to use for my NVIDIA GeForce GT 730 ? ```auto (venv) miroi@MiroPhenomII-X6:~/work/git-projects/open-collection/theoretical_chemistry/software/matgl/buildups/wsl2/wsl2_win10_MiroPhenomII_DesktopPC/tests/.python Python 3.12.3 (main, Nov 6 2025, 13:44:16) [GCC 13.3.0] on linux Type “help”, “copyright”, “credits” or “license” for more information. import torch; torch.cuda.is_available() /home/miroi/software/venv/lib/python3.12/site-packages/torch/cuda/init.py:182: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 11040). Please update your GPU driver by downloading and installing a new version from the URL: Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:109.) return torch._C._cuda_getDeviceCount() > 0 False (venv) miroi@MiroPhenomII-X6:~/work/git-projects/open-collection/theoretical_chemistry/software/matgl/buildups/wsl2/wsl2_win10_MiroPhenomII_DesktopPC/tests/.pip show torch Name: torch Version: 2.8.0 Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration Home-page: https://pytorch.org/ Author: PyTorch Team Author-email: packages@pytorch.org License: BSD-3-Clause Location: /home/miroi/software/venv/lib/python3.12/site-packages Requires: filelock, fsspec, jinja2, networkx, nvidia-cublas-cu12, nvidia-cuda-cupti-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-runtime-cu12, nvidia-cudnn-cu12, nvidia-cufft-cu12, nvidia-cufile-cu12, nvidia-curand-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, nvidia-cusparselt-cu12, nvidia-nccl-cu12, nvidia-nvjitlink-cu12, nvidia-nvtx-cu12, setuptools, sympy, triton, typing-extensions Required-by: chgnet, lightning, matgl, pytorch-lightning, torchdata, torchmetrics (venv) miroi@MiroPhenomII-X6:~/work/git-projects/open-collection/theoretical_chemistry/software/matgl/buildups/wsl2/wsl2_win10_MiroPhenomII_DesktopPC/tests/.nvidia-smi Mon Dec 22 22:31:39 2025 ±----------------------------------------------------------------------------+ | NVIDIA-SMI 470.57.01 Driver Version: 471.41 CUDA Version: 11.4 | |-------------------------------±---------------------±---------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA GeForce … Off | 00000000:01:00.0 N/A | N/A | |ERR! 0C P8 N/A / N/A | 447MiB / 2048MiB | N/A Default | | | | N/A | ±------------------------------±---------------------±---------------------+ ±----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | ±----------------------------------------------------------------------------+ ``` Concerning the previous post, attempt to install torch==1.8.1+cu101 failed: ```auto (venv) miroi@MiroPhenomII-X6:~/work/git-projects/open-collection/theoretical_chemistry/software/matgl/buildups/wsl2/wsl2_win10_MiroPhenomII_DesktopPC/tests/.pip install torch==1.8.1+cu101 -f https ://download.pytorch.org/whl/torch_stable.html Looking in links: https://download.pytorch.org/whl/torch_stable.html ERROR: Could not find a version that satisfies the requirement torch==1.8.1+cu101 (from versions: 2.2.0, 2.2.0+cpu, 2.2.0+cpu.cxx11.abi, 2.2.0+cu118, 2.2.0+cu121, 2.2.0+rocm5.6, 2.2.0+rocm5.7, 2.2.1, 2.2.1+cpu, 2.2.1+cpu.cxx11.abi, 2.2.1+cu118, 2.2.1+cu121, 2.2.1+rocm5.6, 2.2.1+rocm5.7, 2.2.2, 2.2.2+cpu, 2.2.2+cpu.cxx11.abi, 2.2.2+cu118, 2.2.2+cu121, 2.2.2+rocm5.6, 2.2.2+rocm5.7, 2.3.0, 2.3.0+cpu, 2.3.0+cpu.cxx11.abi, 2.3.0+cu118, 2.3.0+cu121, 2.3.0+rocm5.7, 2.3.0+rocm6.0, 2.3.1, 2.3.1+cpu, 2.3.1+cpu.cxx11.abi, 2.3.1+cu118, 2.3.1+cu121, 2.3.1+rocm5.7, 2.3.1+rocm6.0, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.9.0, 2.9.1) ERROR: No matching distribution found for torch==1.8.1+cu101 ``` ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [December 23, 2025, 2:51am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/19 "2025-12-23T02:51:24Z")
I would recommend trying to install an older 1.x release using our “previous releases” section of the “Get Started” page. ---
**Author:** ![Miroslav\_Ilias](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/miroslav_ilias/32/78972_2.png) [@Miroslav\_Ilias](https://discuss.pytorch.org/u/Miroslav_Ilias)\ **Post date:** [December 23, 2025, 8:11am UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/20 "2025-12-23T08:11:42Z")
> [@Miroslav\_Ilias](#): > > `: https://download.pytorch.org/whl/torch_stable.` Well, I tried to install some 1.x cpu only versions from [https://pytorch.org/get-started/previous-versions/](https://pytorch.org/get-started/previous-versions/) for my old AMD PhenomII X6, but got only failures: `(venv) miroi@MiroPhenomII-X6:~/work/git-projects/open-collection/theoretical_chemistry/software/matgl/buildups/wsl2/wsl2_win10_MiroPhenomII_DesktopPC/tests/.pip install torch==1.9.0+cpu torchvision==0.10.0+cpu torchaudio==0.9.0 -f ``https://download.pytorch.org/whl/torch_stable.html` `Looking in links: ``https://download.pytorch.org/whl/torch_stable.html` `ERROR: Could not find a version that satisfies the requirement torch==1.9.0+cpu (from versions: 2.2.0, 2.2.0+cpu, 2.2.0+cpu.cxx11.abi, 2.2.0+cu118, 2.2.0+cu121, 2.2.0+rocm5.6, 2.2.0+rocm5.7, 2.2.1, 2.2.1+cpu, 2.2.1+cpu.cxx11.abi, 2.2.1+cu118, 2.2.1+cu121, 2.2.1+rocm5.6, 2.2.1+rocm5.7, 2.2.2, 2.2.2+cpu, 2.2.2+cpu.cxx11.abi, 2.2.2+cu118, 2.2.2+cu121, 2.2.2+rocm5.6, 2.2.2+rocm5.7, 2.3.0, 2.3.0+cpu, 2.3.0+cpu.cxx11.abi, 2.3.0+cu118, 2.3.0+cu121, 2.3.0+rocm5.7, 2.3.0+rocm6.0, 2.3.1, 2.3.1+cpu, 2.3.1+cpu.cxx11.abi, 2.3.1+cu118, 2.3.1+cu121, 2.3.1+rocm5.7, 2.3.1+rocm6.0, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.9.0, 2.9.1)` `ERROR: No matching distribution found for torch==1.9.0+cpu` `(venv) miroi@MiroPhenomII-X6:~/work/git-projects/open-collection/theoretical_chemistry/software/matgl/buildups/wsl2/wsl2_win10_MiroPhenomII_DesktopPC/tests/.pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url ``https://download.pytorch.org/whl/lts/1.8/cpu` `Looking in indexes: ` [Simple index](https://pypi.org/simple) `, ``https://download.pytorch.org/whl/lts/1.8/cpu` `ERROR: Could not find a version that satisfies the requirement torch==1.8.2 (from versions: 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.9.0, 2.9.1)` `ERROR: No matching distribution found for torch==1.8.2` `(venv) miroi@MiroPhenomII-X6:~/work/git-projects/open-collection/theoretical_chemistry/software/matgl/buildups/wsl2/wsl2_win10_MiroPhenomII_DesktopPC/tests/.pip install torch==1.8.1+cpu torchvision==0.9.1+cpu torchaudio==0.8.1 -f ``https://download.pytorch.org/whl/torch_stable.html` `Looking in links: ``https://download.pytorch.org/whl/torch_stable.html` `ERROR: Could not find a version that satisfies the requirement torch==1.8.1+cpu (from versions: 2.2.0, 2.2.0+cpu, 2.2.0+cpu.cxx11.abi, 2.2.0+cu118, 2.2.0+cu121, 2.2.0+rocm5.6, 2.2.0+rocm5.7, 2.2.1, 2.2.1+cpu, 2.2.1+cpu.cxx11.abi, 2.2.1+cu118, 2.2.1+cu121, 2.2.1+rocm5.6, 2.2.1+rocm5.7, 2.2.2, 2.2.2+cpu, 2.2.2+cpu.cxx11.abi, 2.2.2+cu118, 2.2.2+cu121, 2.2.2+rocm5.6, 2.2.2+rocm5.7, 2.3.0, 2.3.0+cpu, 2.3.0+cpu.cxx11.abi, 2.3.0+cu118, 2.3.0+cu121, 2.3.0+rocm5.7, 2.3.0+rocm6.0, 2.3.1, 2.3.1+cpu, 2.3.1+cpu.cxx11.abi, 2.3.1+cu118, 2.3.1+cu121, 2.3.1+rocm5.7, 2.3.1+rocm6.0, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.9.0, 2.9.1)` `ERROR: No matching distribution found for torch==1.8.1+cpu` ---
**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\ **Post date:** [January 7, 2026, 3:58pm UTC](https://discuss.pytorch.org/t/userwarning-cuda-initialization-the-nvidia-driver-on-your-system-is-too-old-found-version-10010/141547/21 "2026-01-07T15:58:39Z")
You are most likely using Python 3.12 which was released in Oct 2023 and thus PyTorch 2.2.0 is the first release supporting it. Downgrade Python and try to install the wheels again.