[Deep learning error: CUDNN_STATUS_INTERNAL_ERROR] - How to solve it?
In deep learning, many developers will encounter various errors, one of which is [Deep Learning Error: CUDNN_STATUS_INTERNAL_ERROR]. This error may be caused by hardware or software problems. In this article, we'll show you how to diagnose and resolve this error.
First, we need to confirm that you have installed the CUDNN library correctly. You can check the version of CUDNN by entering the following command on the command line:
cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
If you have installed the CUDNN library but still encounter [Deep Learning Error: CUDNN_STATUS_INTERNAL_ERROR], you may need to upgrade CUDA to the latest version. You can download the latest CUDA installation package from the CUDA official website and install it according to the instructions.
If the above two methods don't work, you can try to fix the CUDNN library by:
sudo rm /usr/local/cuda/lib64/libcudnn*
sudo apt-get purge nvidia-cuda*
sudo apt-get autoremove && sudo apt-get autoclean
Then reinstall CUDA and CUDNN:
sudo apt-get install nvidia-cuda-dev nvidia-cuda-toolkit libcudnn7-dev
If you still encounter [Deep Learning Error: CUDNN_STATUS_INTERNAL_ERROR], you can try to lower the versions of CUDA and CUDNN, or install the latest graphics card driver.
Additionally, we also recommend that you check your code and make sure it has the correct input shapes and parameters. Sometimes errors can be caused by bugs in your code, so check your code carefully to determine if there are any issues.
In summary, [Deep Learning Error: CUDNN_STATUS_INTERNAL_ERROR] may affect your deep learning project, but by diagnosing and repairing it through the above methods, you can easily resolve the issue and move forward with your project.