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]