To resolve this issue, you can follow these steps:
Check if the libnvrtc.so file is present in your system by running the following command:
sudo find / -name 'libnvrtc.so'
This will search for the file in your entire system. If the file is found, note down its path.
If the file is not found, you may need to install the NVIDIA CUDA Toolkit, which includes the libnvrtc.so file. Follow the installation instructions for your Linux distribution and make sure to include the CUDA toolkit.
Once you have located the libnvrtc.so file, make sure it is included in your LDLIBRARYPATH environment variable by running the following command:
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/libnvrtc.so
Replace "/path/to/libnvrtc.so" with the path where the file is located.
Finally, try running your Torch application again. It should be able to locate the libnvrtc.so file and load the libcudnncnninfer.so.8 library without any issues.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2023-06-30 12:40:02 +0000
Seen: 12 times
Last updated: Jun 30 '23
How can I install Beegfs on Ubuntu 22.04?
How can a .zip file from GitHub be loaded into Google Colab?
What is the process of using the Multmerge() function in r to combine files in a directory?
In Mac, what is the method to increase the privileges of an executable through setuid?
What can be done to resolve the issue with the Untracked working tree file named '._.git'?
What are the steps to restrict the overall file size of uploaded files in NestJS using multer?