Are you facing the ImportError: libcudart.so.8.0: cannot open shared object file: No such file or directory error while working on your project? Don't worry! In this guide, we will provide a step-by-step solution to resolve this error and get you back on track.
This error typically occurs when you try to import a library that depends on the CUDA library, but your system does not have the required CUDA version or the CUDA library is not properly linked. The error is common among developers working with deep learning frameworks like TensorFlow or PyTorch.
Table of Contents
- Prerequisites
- Step 1: Ensure the Correct CUDA Version is Installed
- Step 2: Verify that cuDNN is Installed
- Step 3: Set Environment Variables
- Step 4: Test the Solution
- FAQ Section
Prerequisites {#prerequisites}
Before we proceed, make sure you have the following installed on your system:
Step 1: Ensure the Correct CUDA Version is Installed {#step-1-ensure-the-correct-cuda-version-is-installed}
First, you need to ensure that the correct version of CUDA is installed on your system. The error message indicates that your library requires CUDA 8.0. So, let's verify if it's installed.
Run the following command in your terminal:
nvcc --version
The output should show the installed CUDA version:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.61
If your CUDA version is different, download and install the required CUDA 8.0 Toolkit from the NVIDIA website.
Step 2: Verify that cuDNN is Installed {#step-2-verify-that-cudnn-is-installed}
Next, you need to ensure that the NVIDIA cuDNN library is installed. To do this, navigate to the directory where CUDA is installed:
cd /usr/local/cuda/lib64
Now, check for the presence of the libcudart.so.8.0 file:
ls libcudart.so.8.0*
If the file is not present, download the cuDNN library for CUDA 8.0 and follow the installation instructions provided by NVIDIA.
Step 3: Set Environment Variables {#step-3-set-environment-variables}
Once you have the correct CUDA version and cuDNN library installed, you need to set the environment variables to link the libraries properly.
Add the following lines to your ~/.bashrc or ~/.zshrc file, depending on your shell:
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"
export CUDA_HOME="/usr/local/cuda"
Now, apply the changes by running:
source ~/.bashrc
or
source ~/.zshrc
Step 4: Test the Solution {#step-4-test-the-solution}
After setting the environment variables, open a new terminal window and run your script again. The ImportError: libcudart.so.8.0 error should now be resolved.
FAQ Section {#faq-section}
What is the ImportError: libcudart.so.8.0 error? {#what-is-the-importerror-libcudart.so.8.0-error}
The ImportError: libcudart.so.8.0 error occurs when you try to import a library that depends on the CUDA library, but your system does not have the required CUDA version or the CUDA library is not properly linked.
How can I find the installed CUDA version on my system? {#how-can-i-find-the-installed-cuda-version-on-my-system}
You can check the installed CUDA version by running the following command in your terminal:
nvcc --version
What if I have multiple CUDA versions installed on my system? {#what-if-i-have-multiple-cuda-versions-installed-on-my-system}
If you have multiple CUDA versions installed, you can switch between them by changing the CUDA_HOME environment variable and updating the LD_LIBRARY_PATH accordingly in your ~/.bashrc or ~/.zshrc file.
Can I use a different version of CUDA instead of 8.0? {#can-i-use-a-different-version-of-cuda-instead-of-8.0}
Yes, you can use a different version of CUDA, but you need to ensure that the library you are trying to import is compatible with that CUDA version.
How can I set environment variables permanently? {#how-can-i-set-environment-variables-permanently}
To set environment variables permanently, you need to add the export commands to your ~/.bashrc or ~/.zshrc file (depending on your shell) and then run source ~/.bashrc or source ~/.zshrc to apply the changes.