Missing shared object file

Oct 13, 2025 by pynkocean.com 105 views

Introduction

When working with deep learning frameworks like PyTorch, it's not uncommon to encounter issues related to CUDA and its dependencies. In this article, we'll explore a specific error that occurs when trying to import the mamba_ssm library, which is a part of the U-Mamba project. The error message indicates that the libcudart.so.12 file cannot be found, leading to an ImportError. We'll delve into the possible causes of this issue and provide insights on how to resolve it.

Understanding the Error

The error message ImportError: libcudart.so.12: cannot open shared object file: No such file or directory suggests that the system is unable to locate the libcudart.so.12 file, which is a shared object file required by the mamba_ssm library. This file is part of the CUDA toolkit, which is a collection of libraries and tools for building and running CUDA-based applications.

CUDA Version Requirements

The U-Mamba project requires CUDA 11.8, which is a specific version of the CUDA toolkit. However, the error message indicates that the system is looking for libcudart.so.12, which suggests that the project may require a newer version of CUDA, specifically CUDA 12.x.

Possible Causes

There are several possible causes for this issue:

Incompatible CUDA version: The U-Mamba project may require a newer version of CUDA, which is not installed on the system.
Missing shared object file: The libcudart.so.12 file may be missing from the system, or it may be located in a directory that is not in the system's library path.
Conflicting library versions: There may be multiple versions of the CUDA toolkit installed on the system, which can cause conflicts and lead to this error.

Troubleshooting Steps

To resolve this issue, follow these troubleshooting steps:

Step 1: Check the CUDA version

Run the nvcc --version command to check the version of the CUDA compiler. If the version is not 12.x, you may need to install a newer version of CUDA.

Step 2: Install the required CUDA version

If the U-Mamba project requires a newer version of CUDA, you can install it using the following command:

sudo apt-get install nvidia-cuda-toolkit=12.0-1

Replace 12.0-1 with the actual version number required by the project.

Step 3: Verify the library path

Run the ldconfig -p | grep libcudart command to verify that the libcudart.so.12 file is located in the system's library path.

Step 4: Update the library path

If the libcudart.so.12 file is not located in the system's library path, you can update the library path by running the following command:

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64

Replace /usr/local/cuda/lib64 with the actual location of the CUDA library.

Step 5: Reinstall the `mamba_ssm` library

After updating the library path, you can reinstall the mamba_ssm library using the following command:

pip install --force-reinstall mamba_ssm

This should resolve the ImportError and allow you to import the mamba_ssm library successfully.

Conclusion

Frequently Asked Questions

In this article, we'll address some of the most frequently asked questions related to the ImportError: libcudart.so.12: cannot open shared object file: No such file or directory error.

Q: What is the cause of the `ImportError: libcudart.so.12: cannot open shared object file: No such file or directory` error?

A: The ImportError: libcudart.so.12: cannot open shared object file: No such file or directory error is caused by the system's inability to locate the libcudart.so.12 file, which is a shared object file required by the mamba_ssm library. This file is part of the CUDA toolkit, which is a collection of libraries and tools for building and running CUDA-based applications.

Q: Why is the system looking for `libcudart.so.12` when I have CUDA 11.8 installed?

A: The system is looking for libcudart.so.12 because the U-Mamba project requires a newer version of CUDA, specifically CUDA 12.x. Although you have CUDA 11.8 installed, the project may not be compatible with this version, leading to the error.

Q: How do I resolve the `ImportError: libcudart.so.12: cannot open shared object file: No such file or directory` error?

A: To resolve the ImportError: libcudart.so.12: cannot open shared object file: No such file or directory error, follow these steps:

Check the CUDA version using the nvcc --version command.
Install the required CUDA version using the sudo apt-get install nvidia-cuda-toolkit=12.0-1 command.
Verify the library path using the ldconfig -p | grep libcudart command.
Update the library path using the export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 command.
Reinstall the mamba_ssm library using the pip install --force-reinstall mamba_ssm command.

Q: What if I'm using a different operating system or distribution?

A: The steps to resolve the ImportError: libcudart.so.12: cannot open shared object file: No such file or directory error may vary depending on the operating system or distribution you're using. However, the general approach remains the same:

Check the CUDA version.
Install the required CUDA version.
Verify the library path.
Update the library path.
Reinstall the mamba_ssm library.

Q: Can I use a different version of the `mamba_ssm` library?

A: Yes, you can use a different version of the mamba_ssm library. However, be aware that this may affect the compatibility of the library with the U-Mamba project. It's recommended to use the version of the library specified in the project's documentation.

Q: What if I'm still experiencing issues after following the troubleshooting steps?

A: If you're still experiencing issues after following the troubleshooting steps, it's recommended to seek further assistance from the U-Mamba project's community or support team. They may be able to provide additional guidance or help you resolve the issue.