[Python] NumbaPerformanceWarning about contiguous arrays, although both arrays are already...

I am having a problem with removing this warning, before publishing a package on PyPI.

As a summary, this is the function that I am using to speed up the np.dot() function:

@nb.jit(nb.float64[:,:](nb.float64[:,:], nb.float64[:,:]), nopython=True)
def fastDot(X, Y):
return np.dot(X, Y)


And the aim is to use this matrix to multiply a matrix of lagged signals with the eigenvectors, it can be also any other matrix:

# Compute principal components
PC = fastDot(X, eigenVectors)


This is where I get the following warning:

NumbaPerformanceWarning: np.dot() is faster on contiguous arrays, called on (Array(float64, 2, 'A', False, aligned=True), Array(float64, 2, 'A', False, aligned=True))
return np.dot(X, Y)


I have also used this line just before the fastDot() call:

eigenVectors, X = np.ascontiguousarray(eigenVectors), np.ascontiguousarray(X)


Still no success.

I know it's not a huge problem, but I would like to remove this warning without using statically typed warnings.

Can someone please help me in:

1. Understanding why this is happening
2. How can I remove this?

Thank you so much in advance!

Continue reading...