Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR

The error message "Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR" typically occurs when there is an internal error within the cuDNN library. cuDNN is a GPU-accelerated library for deep neural networks.

To troubleshoot this issue, you can try the following steps:

  1. Ensure that you have the correct version of cuDNN installed. Make sure that the version you are using is compatible with your GPU driver and CUDA version.

  2. Check if there are any issues with your GPU driver. Update your GPU driver to the latest version if necessary.

  3. Verify that CUDA is correctly installed and configured. Make sure that the CUDA libraries are in the correct paths and that the necessary environment variables are set.

  4. Check if there are any conflicting libraries or dependencies. Ensure that there are no conflicts between different versions of cuDNN or other GPU-accelerated libraries.

  5. If you are using a deep learning framework such as TensorFlow or PyTorch, try reinstalling or updating the framework. Sometimes, compatibility issues between the framework and cuDNN can cause this error.

  6. If none of the above steps resolve the issue, it could be a problem with the hardware itself. Check for any hardware issues or try running the code on a different GPU.

By following these steps, you should be able to troubleshoot and resolve the "Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR" error.