rocm

Numba ignores any indices that are out of bounds for a given array shape. This behavior is present in both basic and advanced indexing.

import numpy as np
import numba

@numba.njit
def something():
    arr = np.ones((3,3))
    arr[100] = 0
    arr[:, np.array([2,3,5,100])] = 0
    return arr

print(something()) # Does not raise error, ignores the out of bound indices comp

Description

https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html

https://docs.cupy.dev/en/stable/reference/generated/cupy.corrcoef.html

Seems args are different

Additional Information

dtype argument added in NumPy version 1.20.

Just an FYI whilst I was trawling through the ROCm GitHub page:

https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#

Since arrays may not actually be modified by a given operation, or might only be partially modified (or the user has some other way to ensure correctness).