mindspore.ops.FloorMod

class mindspore.ops.FloorMod[source]

Computes the remainder of division element-wise, and it’s a flooring divide.

Refer to mindspore.ops.floor_mod() for more details.

Inputs:

x (Union[Tensor, Number, bool]) - The first input is a number or a bool or a tensor whose data type is number or bool.
y (Union[Tensor, Number, bool]) - The second input is a number or a bool when the first input is a tensor, or it can be a tensor whose data type is number or bool.

Outputs:

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

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x = Tensor(np.array([2, 4, -1]), mindspore.int32)
>>> y = Tensor(np.array([3, 3, 3]), mindspore.int32)
>>> floor_mod = ops.FloorMod()
>>> output = floor_mod(x, y)
>>> print(output)
[2 1 2]