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Struggling with the `RuntimeError: Numpy is not available` when using Pytorch? Here's a clear guide on how to resolve this issue without sacrificing your audio manipulation libraries!
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How to Resolve RuntimeError: Numpy Not Available in Pytorch for Audio Classification

If you're working on a deep learning project using Pytorch and you encounter the dreaded RuntimeError: Numpy is not available, don’t panic. This issue often arises when there are compatibility conflicts between Pytorch, Numpy, and the libraries you are using for your project, such as librosa for audio manipulation.

Understanding the Issue

In this case, the issue arises while attempting to convert a NumPy array to a Pytorch tensor. The key details of the scenario are:

You are running a simple Convolutional Neural Network (CNN) using Pytorch on a Raspberry Pi 4 with Python 3.9.2 (64-bit).

You need librosa for audio processing, which, in turn, has a dependency on the numba package.

The version of Numpy you are currently using is incompatible with the versions necessary for other packages.

The error message can be confusing as it suggests upgrading Numpy to resolve the issue. However, upgrading Numpy to the latest version can lead to compatibility problems with numba, which only supports versions of Numpy that are less than or equal to 1.20. This creates a conflict that can be frustrating to solve as it results in a cyclic problem.

A Practical Solution

Fortunately, there is a straightforward workaround that can help you run your code without needing to alter your choice of libraries or packages significantly.

Step 1: Downgrade Pytorch

The simplest solution found was to downgrade Pytorch to a version that works with the Numpy version you need. Specifically:

Downgrade Pytorch: The solution suggested involved downgrading the PyTorch version to 0.9.1. This version is known to be compatible with the older versions of Numpy that work well with numba.

This can be done using pip in your command line:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Re-run Your Code

After downgrading, attempt to run your code again. The goal is to check if the RuntimeError has been resolved. At this point, you should find that the line causing the error:

[[See Video to Reveal this Text or Code Snippet]]

no longer throws the error.

Addressing Subsequent Warnings

After downgrading, you may encounter warnings related to OpenBLAS or a message about an open MPLoop. While these warnings can be annoying, they often do not disrupt the functionality of your code. If you wish to eliminate them, investigating the relevant library documentation may provide insights or additional configurations you can set. However, for many users, it’s possible to continue with your project without addressing every warning unless they’re affecting performance.

Conclusion

To summarize, when faced with the RuntimeError: Numpy is not available in Pytorch, the reliable solution is to downgrade Pytorch to version 0.9.1. This avoids potential conflicts with dependencies like Numba while letting your audio classification project proceed smoothly.

Stay persistent and happy coding!