If you’ve been trying to import TensorFlow in Python 2.7 on Ubuntu 12.04 and keep running into the Glibc_2.17 not found error, you’re not alone. This frustrating issue has plagued many developers trying to get TensorFlow up and running on their machines. But don’t worry – there is a solution!
First of all, it’s important to understand that this error is caused by a mismatch between the version of Glibc (the GNU C Library) installed on your system and the version required by TensorFlow. The good news is that there are a few different ways to fix this issue, depending on your specific situation.
One solution is to upgrade your operating system to a version that includes Glibc 2.17 or later. However, if you prefer to stick with Ubuntu 12.04 for any reason, there are still options available to you. For example, you can manually install a more recent version of Glibc on your machine, or you could try using a pre-built TensorFlow binary that is compatible with your current setup.
Overall, while the Glibc_2.17 not found error can be a headache for developers trying to use TensorFlow on Ubuntu 12.04, there are ways to work around it. With a bit of persistence and some willingness to experiment with different solutions, you can get TensorFlow up and running smoothly on your machine in no time!
“Error While Importing Tensorflow In Python 2.7 In Ubuntu 12.04. ‘Glibc_2.17 Not Found'” ~ bbaz
Introduction
If you are an Artificial Intelligence enthusiast or just starting with TensorFlow, probably you have already faced the Glibc_2.17 not found error when trying to import TensorFlow in Python 2.7 on Ubuntu 12.04. But don’t worry, this blog article has the goal to compare and suggest solutions for fixing this problem.
What is TensorFlow?
TensorFlow is a popular open-source library created by Google Brain Team that is used for machine learning and deep learning tasks. It is especially useful for tasks involving large amounts of data, image recognition, and natural language processing.
The Error Message
The Glibc_2.17 not found error message appears when trying to import TensorFlow in Python 2.7 on Ubuntu 12.04. This error indicates that the glibc library version 2.17 is not installed on your computer. TensorFlow requires this specific version, and it cannot find it.
Solution 1: Upgrade Your Operating System
The easiest solution for fixing the Glibc_2.17 not found error is to upgrade your Ubuntu operating system from 12.04 to a newer version that has the required glibc version. Ubuntu 14.04 or newer versions already have glibc 2.17 installed by default.
Pros and Cons of Solution 1
| Pros | Cons |
|---|---|
| Easy to do | May encounter compatibility issues with other software that only works in Ubuntu 12.04 |
| Getting the latest version of the Ubuntu operating system | May need to install or reconfigure software that you have installed in Ubuntu 12.04 |
Solution 2: Install Glibc 2.17 Manually
If you want to keep using Ubuntu 12.04, you can manually install glibc 2.17 on your computer. This solution requires more technical expertise and may take some time to complete.
Pros and Cons of Solution 2
| Pros | Cons |
|---|---|
| Allows you to keep using Ubuntu 12.04 | Requires more technical expertise |
| No need to upgrade your operating system | May cause compatibility issues with other software |
How to Install Glibc 2.17 Manually
To install glibc 2.17 manually, follow these steps:
- Download the glibc 2.17 package from the official GNU website.
- Extract the package to a directory of your choice.
- Go to the extracted directory and run the configure script.
- Compile and install the glibc 2.17 package.
Conclusion
In conclusion, upgrading your Ubuntu operating system to a newer version or manually installing glibc 2.17 are both valid solutions for fixing the Glibc_2.17 not found error when importing TensorFlow in Python 2.7 on Ubuntu 12.04. However, each solution has its pros and cons that you should take into account before deciding which one to use.
Thank you for taking the time to learn about fixing the Glibc_2.17 Not Found error when importing TensorFlow in Python 2.7 on Ubuntu 12.04. We hope that this article has helped you to understand the issue and find a suitable solution to it.
As we have outlined in the previous paragraphs, there are a few different approaches that you can take to resolving this error. These range from updating your Ubuntu installation to installing an earlier version of TensorFlow that doesn’t have the same dependencies.
If you are still struggling with this error or have any questions about the solutions that we have suggested here, please don’t hesitate to reach out to us. We would be more than happy to offer additional assistance or guidance to help you overcome this challenge.
Once again, thank you for visiting our blog and for taking the time to read this article. We hope that you found it helpful and informative!
When importing TensorFlow in Python 2.7 on Ubuntu 12.04, some users may encounter the error message Glibc_2.17 not found. This error occurs because TensorFlow requires a newer version of the GNU C Library (glibc) than the one that is installed on Ubuntu 12.04 by default.
Below are some frequently asked questions about fixing this error:
1. What is Glibc_2.17?
Glibc_2.17 is a version of the GNU C Library, which is a collection of functions that are used by most programs on a Linux system. TensorFlow requires version 2.17 or higher of the library to run.
2. How can I fix the Glibc_2.17 not found error?
- Upgrade your operating system: The easiest way to get the required version of glibc is to upgrade your Ubuntu 12.04 system to a newer version that includes it by default.
- Install a newer version of glibc: If you cannot or do not want to upgrade your operating system, you can manually install a newer version of glibc. However, this is a complex process and should only be attempted by advanced users.
- Use a Docker container: You can use a Docker container that includes TensorFlow and all of its dependencies, including glibc_2.17. This can be a good option if you do not want to upgrade your operating system or manually install glibc.
3. Is it safe to manually install a newer version of glibc?
Manually installing a newer version of glibc can be risky, as it can break other programs that depend on the older version of the library. It is recommended that you only attempt this if you are an advanced user and know what you are doing.
4. How do I check which version of glibc is installed on my system?
You can check the version of glibc installed on your system by running the following command in a terminal window:
ldd --version
