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]