mindspore.ops.logical_and

mindspore.ops.logical_and(input, other)

Compute the "logical AND" of two tensors element-wise.

$$ou{t}_i=inpu{t}_i\wedge othe{r}_i$$

Note

• Broadcasting is supported.

• Support implicit type conversion.

Parameters

• input (Union[Tensor, bool]) – The first input.

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

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> x = mindspore.tensor([True, False, True], mindspore.bool_)
>>> y = mindspore.tensor([True, True, False], mindspore.bool_)
>>> output = mindspore.ops.logical_and(x, y)
>>> print(output)
[ True False False]
>>> x = mindspore.tensor(1, mindspore.bool_)
>>> y = mindspore.tensor(0, mindspore.bool_)
>>> output = mindspore.ops.logical_and(x, y)
>>> print(output)
False
>>> x = True
>>> y = mindspore.tensor(0, mindspore.bool_)
>>> output = mindspore.ops.logical_and(x, y)
>>> print(output)
False
>>> x = True
>>> y = mindspore.tensor([True, False], mindspore.bool_)
>>> output = mindspore.ops.logical_and(x, y)
>>> print(output)
[True False]