RuntimeError: CUDA error: no kernel image is available for execution on the device

[vikasysargar777]

Description

While testing AI module, it is showing CUDA available but it throws an error
RuntimeError: CUDA error: no kernel image is available for execution on the device

Environment

Graphic Card:Nvidia Geforce GT 730
TensorRT Version:
GPU Type: Integrated
Nvidia Driver Version: 474.44
CUDA Version: 11.4
CUDNN Version: 111
Operating System + Version: Windows 11 pro
Python Version (if applicable): 3.8
TensorFlow Version (if applicable): NA
PyTorch Version (if applicable): 1.8.1 + cu111
Miniconda:3

[AakankshaS]

Hi @vikasysargar777 ,
The issue looks like because of incompatible CUDA version.
Please check the link to understand the correct version.

Install CUDA, Nvidia driver and cudnn for GeForce GT 730.

The GeForce GT 730 comes in 2 different flavors, one of which is compute capability 3.5, the other is compute capability 2.1 If you have the cc 2.1 version, cuDNN will not work with that GPU (it requires 3.0 or higher). Other than that, choose the latest driver for your gpu using the wizard at Official Drivers | NVIDIA If you have the cc 3.5 GPU, CUDA 8, 9, or 9.1 will work with that GPU. If you have the 2.1 version, only CUDA 8 or prior will work. People are often interested in cuDNN becau…

Thanks

[vikasysargar777]

Thank you for your help on this problem, the solution you provided is satisfactory.