# Can't get CUDA to work

**URL:** <https://discuss.pytorch.org/t/cant-get-cuda-to-work/169766>\
**Category:** Uncategorized\
**Created:** [January 6, 2023, 7:05pm UTC](https://discuss.pytorch.org/t/cant-get-cuda-to-work/169766 "2023-01-06T19:05:02Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![John\_Johnson](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/john_johnson/32/56209_2.png) [@John\_Johnson](https://discuss.pytorch.org/u/John_Johnson)\
**Post date:** [January 6, 2023, 7:05pm UTC](https://discuss.pytorch.org/t/cant-get-cuda-to-work/169766/1 "2023-01-06T19:05:02Z")

</div>

Hi,

I am having an issue with my CUDA installation and PyTorch on Windows 10. PyTorch is not detecting my CUDA installation even though I have installed the NVIDIA driver and PyTorch version that is compatible with my GPU (GTX 1080 Ti). I have added the path to my CUDA libraries to my system’s PATH environment variable, but PyTorch still does not detect my CUDA installation.

Here is the output of the `collect_env` command:

Collecting environment information…  
PyTorch version: 1.13.1  
Is debug build: False  
CUDA used to build PyTorch: Could not collect  
ROCM used to build PyTorch: N/A

OS: Microsoft Windows 10 Pro  
GCC version: Could not collect  
Clang version: Could not collect  
CMake version: Could not collect  
Libc version: N/A

Python version: 3.9.13 (main, Aug 25 2022, 23:51:50) [MSC v.1916 64 bit (AMD64)] (64-bit runtime)  
Python platform: Windows-10-10.0.19044-SP0  
Is CUDA available: False  
CUDA runtime version: 11.7.64

CUDA\_MODULE\_LOADING set to: N/A  
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1080 Ti  
Nvidia driver version: 528.02  
cuDNN version: Could not collect  
HIP runtime version: N/A  
MIOpen runtime version: N/A  
Is XNNPACK available: True

Versions of relevant libraries:  
[pip3] mypy-extensions==0.4.3  
[pip3] numpy==1.21.5  
[pip3] numpydoc==1.4.0  
[pip3] torch==1.13.1  
[pip3] torchaudio==0.13.1  
[pip3] torchvision==0.14.1  
[conda] blas 1.0 mkl  
[conda] cpuonly 2.0 0 pytorch  
[conda] mkl 2021.4.0 haa95532\_640  
[conda] mkl-service 2.4.0 py39h2bbff1b\_0  
[conda] mkl\_fft 1.3.1 py39h277e83a\_0  
[conda] mkl\_random 1.2.2 py39hf11a4ad\_0  
[conda] numpy 1.21.5 py39h7a0a035\_3  
[conda] numpy-base 1.21.5 py39hca35cd5\_3  
[conda] numpydoc 1.4.0 py39haa95532\_0  
[conda] pytorch 1.13.1 py3.9\_cpu\_0 pytorch  
[conda] pytorch-cuda 11.7 h67b0de4\_1 pytorch  
[conda] pytorch-mutex 1.0 cpu pytorch  
[conda] torchaudio 0.13.1 py39\_cpu pytorch  
[conda] torchvision 0.14.1 py39\_cpu pytorch

I have also checked that my GPU is being recognized by my system by running the `nvidia-smi` command, which returns the following output:

Fri Jan 6 19:53:51 2023  
±----------------------------------------------------------------------------+  
| NVIDIA-SMI 528.02 Driver Version: 528.02 CUDA Version: 12.0 |  
|-------------------------------±---------------------±---------------------+  
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |  
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |  
| | | MIG M. |  
|===============================+======================+======================|  
| 0 NVIDIA GeForce … WDDM | 00000000:01:00.0 On | N/A |  
| 0% 37C P8 12W / 250W | 1376MiB / 11264MiB | 7% Default |  
| | | N/A |  
±------------------------------±---------------------±---------------------+

These are my environment variables:  
 ![Skærmbillede 2023-01-06 200400](https://discuss.pytorch.org/uploads/default/original/3X/4/9/49733d0846861134a89fbb246e0442f121a9025b.png)

I am at a loss as to what to try next. Can anyone help me troubleshoot this issue?

Thanks in advance for any help!

Best regards,  
John

---

<div class="post-metadata">

**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 6, 2023, 7:15pm UTC](https://discuss.pytorch.org/t/cant-get-cuda-to-work/169766/2 "2023-01-06T19:15:18Z")

</div>

It seems you’ve installed the CPU-only binaries:

```auto
pytorch 1.13.1 py3.9_cpu_0 pytorch

```

so make sure to select the binaries with a proper CUDA runtime.