mindspore.numpy.fmod

mindspore.numpy.fmod(x1, x2, dtype=None)[source]

Returns the element-wise remainder of division.

This is the NumPy implementation of the C library function fmod, the remainder has the same sign as the dividend x1. It is equivalent to the Matlab(TM) rem function and should not be confused with the Python modulus operator x1 % x2.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported.

Parameters

x1 (Tensor) – the first input arrays.
x2 (Tensor) – the second input arrays.
dtype (mindspore.dtype, optional) – defaults to None. Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, the remainder of the division of x1 by x2. This is a scalar if both x1 and x2 are scalars.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.fmod(np.array([-3, -2, -1, 1, 2, 3]), np.array(2))
>>> print(output)
[-1  0 -1  1  0  1]