mindspore.ops.FloorDiv

class mindspore.ops.FloorDiv[source]

Divides the first input tensor by the second input tensor element-wise and round down to the closest integer.

Refer to mindspore.ops.floor_div() 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 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 or higher digits among 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_div = ops.FloorDiv()
>>> output = floor_div(x, y)
>>> print(output)
[ 0  1 -1]
>>> x = Tensor(2.0, mindspore.float32)
>>> y = Tensor(2.0, mindspore.float32)
>>> floor_div = ops.FloorDiv()
>>> output = floor_div(x, y)
>>> print(output)
1.0