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mindspore.Tensor.floor_divide

Tensor.floor_divide(other) → Tensor

Divides the self tensor by the other input tensor element-wise and round down to the closest integer.

self and other comply with the implicit type conversion rules to make the data types consistent. Inputs must be two tensors or one tensor and one scalar. When the self and other are two tensors, dtypes of them cannot be bool at the same time, and the shapes of them could be broadcast. When the self and other are one tensor and one scalar, the scalar could only be a constant.

$$ou{t}_i=\text{floor}(\frac{sel{f}_i}{othe{r}_i})$$

where the $floor$ indicates the Floor operator. For more details, please refer to the mindspore.mint.floor operator.

Warning

This is an experimental API that is subject to change or deletion.

Parameters

other (Union[Tensor, Number, bool]) – The other input is a number or a bool or a tensor whose data type is number or bool.

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 between self and other.

Raises

TypeError – If self and other are not the following: Tensor, number.Number or bool.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor
>>> import numpy as np
>>> input = Tensor(np.array([2, 4, -1]), mindspore.int32)
>>> other = Tensor(np.array([3, 3, 3]), mindspore.int32)
>>> output = input.floor_divide(other)
>>> print(output)
[ 0  1 -1]
>>> input = Tensor(2.0, mindspore.float32)
>>> other = Tensor(2.0, mindspore.float32)
>>> output = input.floor_divide(other)
>>> print(output)
1.0