mindspore.ops.less

mindspore.ops.less(input, other)[source]

Computes the boolean value of $i n p u t < o t h e r$ element-wise.

The inputs of input and other follow implicit type conversion rules to ensure consistent data types. When the inputs are a Tensor and a Scalar, the Scalar can only be a constant.

\begin{array}{r} o u t_{i} = {\begin{cases} True,    if i n p u t_{i} < o t h e r_{i} \\ False,   if i n p u t_{i} >= o t h e r_{i} \end{cases} \end{array}

Parameters

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

Raises

TypeError – If input and other is not one of the following: Tensor, Number, bool.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([1, 2, 3]), mindspore.int32)
>>> other = Tensor(np.array([1, 1, 4]), mindspore.int32)
>>> output = ops.less(input, other)
>>> print(output)
[False False True]