Could not load dynamic library 'libcudart.so.11.0';

I am trying to use Tensorflow 2.7.0 with GPU, but I am constantly running into the same issue:

2022-02-03 08:32:31.822484: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/username/.cache/pypoetry/virtualenvs/poetry_env/lib/python3.7/site-packages/cv2/../../lib64:/home/username/miniconda3/envs/project/lib/
2022-02-03 08:32:31.822528: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

This issue has already appeared multiple times here & on github. However, the solutions usually proposed to a) download the missing CUDA files, b) downgrade/upgrade to the correct CUDA version, c) set the correct LD_LIBRARY_PATH.

I have been already using my PC with CUDA-enabled PyTorch, and I did not have a single issue there. My nvidia-smi returns 11.0 version, which is exactly the only I want to have. Also, if I try to run:

import os
LD_LIBRARY_PATH = '/home/username/miniconda3/envs/project/lib/'
print(os.path.exists(os.path.join(LD_LIBRARY_PATH, "libcudart.so.11.0")))

it returns True. This is exactly the part of LD_LIBRARY_PATH from the error message, where Tensorflow, apparently, cannot see the libcudart.so.11.0 (which IS there).

Is there something really obvious that I am missing?

nvidia-smi output:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.156.00 Driver Version: 450.156.00 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+

nvcc:

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243

2 Answers

Firstly:Can you find out where the "libcudart.so.11.0" is If you lost it at error stack, you can replace the "libcudart.so.11.0" by your word in below:

sudo find / -name 'libcudart.so.11.0'

Outputs in my system. This result shows where the "libcudart.so.11.0" is in the system:

/usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudart.so.11.0

If the result shows nothing, please make sure you have install cuda or other staff that must install in your system.

Second, add the path to environment file.

edit /etc/profile
sudo vim /etc/profile
append path to "LD_LIBRARY_PATH" in profile file
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.1/targets/x86_64-linux/lib
make environment file work
source /etc/profile

You may also refer to this link

Third thing you may try is:

conda install cudatoolkit

Installing the correct version of cuda 11.3 and cudnn 8.2.1 for tf2.8. Based on this blog using following commands.

• conda uninstall cudatoolkit
• conda install cudnn

Then exporting LD path - dynamic link loader path after finding location by this sudo find / -name 'libcudnn' System was able to find required libraries and use GPU for training.

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/usr/miniconda3/envs/tf2/lib/

Hope it helped.