The term importerror refers to a phenomenon in which the installation of certain packages, software, or systems can be blocked by an error in the import process.
Most commonly, this occurs when software tries to import a library or module that does not exist. In this case, the software cannot complete its installation process due to this error.
Importerror errors can arise for a number of different reasons. Some of these include: mistakes made in the installation process, missing dependencies, corrupted files or folders, and wrong filetype identification.
This article will discuss how to deal with importerror errors and provide tips on how to prevent them. Additionally, this article will discuss some common importerrors and what they mean.
What does libcublas.so.9.0 do?
The file libcublas.so.9.0 is a file that holds code for functions required by other programs to run. These functions are called libraries, and they are essentially packages of code that other programs use to do specific things.
As the name suggests, a library contains code that is used in more than one application. For example, the math library you learn about in elementary school probably isn’t used only in elementary school — it’s probably used in lots of other applications as well.
In the case of the error “Cannot Open Shared Object File: No Such File or Directory,” the problem is that this particular library cannot be found by your system. This may mean that it was deleted or replaced with a different version. It may also mean that your system was reset and this particular library wasn’t re-downloaded or re-installed.
Where do I find this file?
The libcublas.so.9.0 file is not available by default on most operating systems. You will need to download and install the latest CUDA software to get this file.
There are two main ways to download the CUDA software. The first is via the official NVIDIA website. Here, you can download the latest version of the CUDA Software Package, which includes all of the required files.
The second way is via terminal or command line on your operating system. You can run a search for ‘cuda’ to find the appropriate commands for your machine.
How do I fix this problem?
First, make sure that your system is having the correct permissions set up for files. By default, files are set up to only allow the user to modify them, and that is not what we want here!
You will need to check and change the file permissions for both your user directory and the system directory. Check out this article for more information on how to do that.
After checking and changing file permissions, you will need to download libcublas.so.9.0 and place it in the correct directory: /lib/x86-64-linux-gnu/libcublas.so.9.0.
If you are having trouble finding this file, try going to your computer hardware manufacturer’s website and looking for the required software for running CUBLAS operations on your computer model. Download and install these required files to fix this error!
If all else fails, delete your current libcublas.so.9 . . . file in your /lib/x86-64-linux-gnu/libcublas.
On 64 bit computers, replace x86-64-linux-gnu with x86-64-linux-gnux32.
On 32 bit computers, replace x86-64-linux with x86-32-linux directories and reupload the new one from the hardware manufacturer’s website.
Hopefully this helps you fix this error!
This article was written by a member of our computing department.
Edited by Addison Bathrick.
What is the solution?
There are a few solutions to this problem, however, most of them require you to have access to your computer or the computer that is having the issue.
The first solution is to check the Path variable in your environment. This variable keeps track of where the computer looks for files when you ask it to execute something. If this path is not set correctly, then the system cannot find the file.
The second solution is to check if there is enough space on your computer for the file. If there is not enough space, then you can either delete some things or buy a hard drive expansion.
The third solution is to find and download a newer version of libcublas.so.9.0 and put it in your system’s library directory. This will solve the problem unless there is another issue with the path.
What are the causes of this error?
There are a few possible reasons for this error, and most of them have to do with your environment.
First, you may not have the correct version of the cuBLAS library installed on your system. You can check this by opening a terminal and running the following command: ldd libcublas.so . If you get an output containing something similar to libcufeatures.so , then you do not have the default cuBLAS library installed on your system. You will need to download and install it from NVIDIA’s website.
Second, you may have accidentally deleted the cuBLAS library from your system, or something else may have messed with it. Try re-downloading it from NVIDIA’s website and re-installing it.
Third, you may not have enough available memory on your computer to run the program properly. Try switching to a more powerful computer or upgrading your current one.
How can I fix it?
Removing the old libcuBLAS.so file and installing a new version of cuDNN will fix this error. Make sure to keep the same version number for both!
For example, if you have 9.0 for libcuBLAS.so, then download and install 9.0 for cuDNN. The same goes for any other version changes between the libraries.
Once you do that, re-install TensorFlow and try again! Be sure to check if your new libraries are working by running some tests with TensorBoard.
If you do not have access to more cuDNN versions, there is one more thing you can do: remove all existing versions of cuDNN and re-install the first one! This will reset all of your CUDA environments and fix this issue (kind of…).
What does it mean?
When you try to run a program that requires a specific library and you do not have it installed, the program will not run and give you an error about the missing file.
In this case, the program cannot execute due to the lack of the libcublas.so.9.0 file. This is similar to how I told you that you need all of the dependencies listed in the official GitHub repository to install the Miner software properly.
The difference here is that there is no official repository for libcublas.so.9.0, which makes it harder to fix this problem. Because of this, many people end up re-installing everything or completely re- installing their operating system due to frustration .
Why does it happen?
The reason why this error happens is because of missing dependencies. When you install CUDA, it installs some dependencies like Nvidia drivers and CUDA toolkit.
However, if you do not install them in the same system where you are trying to use them, they will not be recognized.
This can happen in two ways:
You installed the dependencies in a different computer and are now trying to use them in another computer You did not install the dependencies and are trying to use the software that requires them in a computer that does not have them installed
Either way, the solution is the same: install the missing dependencies.