I installed also the CudaToolkit, and cuDNN.
I have the following
GPU:
| NVIDIA-SMI 531.68 Driver Version: 531.68 CUDA Version: 12.1 |
|-----------------------------------------+----------------------+----------------------+
| 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 RTX 3070 T... WDDM | 00000000:01:00.0 Off | N/A |
| N/A 43C P8 9W / N/A| 0MiB / 8192MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
I have been trying to install spacy with the following instructions on a couple of posts on the site and used
pip install spacy[cuda121]
I get a warning that spacy 3.5.2 does not detect or support CUDA version 12.1.
I manage to get tensorflow to detect the GPU and when I run the following:
import tensorflow as tf
print('Num GPUs Available: ', len(tf.config.list_physical_devices('GPU')))
It detects 1 GPU. I also ran:
pip install cudy
I am wondering if there is something wrong with setup or if I doing something wrong. Any support would be much appreciated.
After reading the installation
documentation and seeing the warning
that you got, it seems that spaCy
does not currently support CUDA 12.1
. The installation guide is misleading because you can select the version of CUDA
and there is a version for CUDA 10.2, 11.0+
. Which suggests that anything above 11.0 is supported. However, that is not the case.
Here is what I mean by the installation guide being misleading:
Your best bet would be to downgrade your version of CUDA
to CUDA 11.8
. If you're looking for the CUDA 11.8
links on the nvidia website:
Here is a GitHub discussion that talks about which version of CUDA
should be used with both spaCy
and pytorch
after the release of CUDA 12.1
: