Device Specifications:-
| Column A | Column B |
|---|---|
| GPU | RTX 3060 |
| OS | Windows 11 |
| Tensorflow Version | 2.17.0 |
| Python Version | 3.12.5 |
from tensorflow.python.client import device_lib
def get_available_devices():
local_device_protos = device_lib.list_local_devices()
return [x.name for x in local_device_protos]
print(get_available_devices())
This is returning ['/device:CPU:0']
Here is all that I tried to no avail:-
Reference Material
- Installed the required versions of cuDNN and CUDA (8.9 and 12.3 respectively).
- Copied bin, lib and include folders over to C:…..NVIDIA GPU Computing ToolkitCUDAv12.3
- Added the bin and libnvvp to system paths variable
- Installed Visual Studio installer and installed
Desktop Development with C++ - Restarted
Here is all the troubleshooting I did
- Ran
nvcc --version, working….
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Sep__8_19:56:38_Pacific_Daylight_Time_2023
Cuda compilation tools, release 12.3, V12.3.52
Build cuda_12.3.r12.3/compiler.33281558_0
- Ran
nvidia-smi– GPU is showing up - Ran
tf.config.list_physical_devices('GPU')Returning Empty List
Nothing Seems to be Working, Please Help. Be kind and Thank You.