RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility

RuntimeWarning: numpy.dtype size changed, which may indicate binary incompatibility error occurs “when NumPy is imported after another package that uses an older library version”.

The warning itself doesn’t necessarily mean there is a problem with your code, but it suggests that there might be a mismatch in the NumPy versions used by different packages or modules. This could lead to unexpected behavior or crashes in some cases.

To fix the RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility error, you can follow these solutions:

Solution 1: Update all your packages

Ensure you have the latest versions of all the packages you’re using in your project. Depending on your package manager, you can update your packages using pip or conda.

pip install --upgrade numpy

Or,

conda update numpy

These warnings should be benign in the particular case of numpy, and these messages are filtered out since numpy 1.8.

To filter these warnings yourself:

import warnings

warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")

Using the conda package manager, you must update all the packages using the following command.

conda update --all

Solution 2: Check the package dependencies

If the issue persists, check the dependencies of your packages. Ensure that they are compatible with the latest version of NumPy.

Solution 3: Reorder your imports: 

Sometimes the issue can be fixed by simply reordering the import statements in your script. For example, try importing NumPy before importing any other packages that depend on it.