In the documentation, Supported Numpy Features → Functions → Linear algebra, it supports numpy.dot(). However, in Other methods, it says it support dot() (only the 1-argument form), which GPT tells me is dot product of two same vector. This is a bit confusing. Does Numba support dot product of two different np arrays? Many thanks.

In the documentation, when it mentions “dot() (only the 1-argument form),” it is likely referring to the dot method of a NumPy array. The dot method, when used as a class method of a NumPy array, takes only one argument.

However, this does not mean that Numba does not support dot products between different arrays. Both np.dot and the ndarray.dot method can handle dot products between different arrays.

You can use either np.dot or the ndarray.dot method of a NumPy array for dot products between different arrays in Numba.

import numpy as np
import numba as nb
@nb.njit
def dot_function(arrA, arrB):
"""numpy.dot as function takes 2 arguments."""
return np.dot(arrA, arrB)
@nb.njit
def dot_method(arrA, arrB):
"""np.ndarray.dot as class method takes 1 argument."""
return arrA.dot(arrB)
arrA = np.arange(6.).reshape((3,2))
arrB = np.arange(6.).reshape((2,3))
print('dot_function')
print(dot_function(arrA, arrB))
print('dot_method')
print(dot_method(arrA, arrB))
# dot_function
# [[ 3. 4. 5.]
# [ 9. 14. 19.]
# [15. 24. 33.]]
# dot_method
# [[ 3. 4. 5.]
# [ 9. 14. 19.]
# [15. 24. 33.]]