mindspore.Tensor.le

Tensor.le(other) → Tensor

Computes the boolean value of :math: self <= other element-wise.

\[\begin{split}out_{i} = \begin{cases} & \text{True, if } self_{i}<=other_{i} \\ & \text{False, if } self_{i}>other_{i} \end{cases}\end{split}\]

Note

  • Inputs of self and other comply with the implicit type conversion rules to make the data types consistent.

  • The other must be tensor or scalar. When the other is scalar, the scalar could only be a constant.

Parameters

other (Union[Tensor, number.Number, bool]) – The other should be a number.Number or bool value, 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 bool.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor
>>> x = Tensor(np.array([1, 2, 3]), mindspore.int32)
>>> y = Tensor(np.array([1, 1, 4]), mindspore.int32)
>>> output = x.le(y)
>>> print(output)
[ True False  True]