mindspore.ops.le

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

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

\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}

Note

Support implicit type conversion.
The inputs must be two tensors or one tensor and one scalar.
When the inputs are one tensor and one scalar, the scalar could only be a constant.

Parameters

input (Union[Tensor, Number, bool]) – The first input.
other (Union[Tensor, Number, bool]) – The second input.

Returns

Tensor

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> # case 1: The shape of two inputs are different
>>> input = mindspore.tensor([1, 2, 3], mindspore.float32)
>>> output = mindspore.ops.le(input, 2.0)
>>> print(output)
[True  True False]
>>> # case 2: The shape of two inputs are the same
>>> input = mindspore.tensor([1, 2, 3], mindspore.int32)
>>> other = mindspore.tensor([1, 2, 4], mindspore.int32)
>>> output = mindspore.ops.le(input, other)
>>> print(output)
[ True  True  True]