mindspore.Tensor.fmod

Tensor.fmod(other) → Tensor

Computes the floating-point remainder of the division operation self/other.

\[out = self - n * other\]

Where \(n\) is \(self/other\) with its fractional part truncated. The returned value has the same sign as self and is less than other in magnitude.

Parameters

other (Union[Tensor, Number]) – the divisor.

Returns

Tensor, the shape is the same as the one after broadcasting, and the data type is the one with higher precision or higher digits among the two inputs.

Raises

TypeError – If neither self nor other is a Tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor
>>> input = Tensor(np.array([-4., -3.5, 0, 3.5, 4]), mindspore.float32)
>>> output = input.fmod(2.5)
>>> print(output)
[-1.5 -1.   0.   1.   1.5]