I have a laptop with Intel UHD card and NVIDIA Geforce MX130. My CUDA version is 12.0
Environment path variable is C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.0.
torch version 1.13.1.
Please help me with following errors
But torch.cuda.is_available() is shown as false
but for tensor flow
tf.test.is_built_with_cuda() is shown as true
tf.config.experimental.list_physical_devices(‘gpu’) is []
Additional info:
nvcc --version is
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Mon_Oct_24_19:40:05_Pacific_Daylight_Time_2022
Cuda compilation tools, release 12.0, V12.0.76
Build cuda_12.0.r12.0/compiler.31968024_0
from numba import cuda
cuda.detect()
shows
Found 1 CUDA devices
id 0 b’NVIDIA GeForce MX130’ [SUPPORTED]
Compute Capability: 5.0
PCI Device ID: 0
PCI Bus ID: 1
Watchdog: Enabled
Compute Mode: WDDM
FP32/FP64 Performance Ratio: 32
Summary:
1/1 devices are supported
nvidia-smi
shows
±----------------------------------------------------------------------------+
| NVIDIA-SMI 527.41 Driver Version: 527.41 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 Off | N/A |
| N/A 0C P8 N/A / N/A | 0MiB / 2048MiB | 1% Default |
| | | N/A |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
±----------------------------------------------------------------------------+