mindspore.mint.all

mindspore.mint.all(input) → Tensor[source]

Tests if all element in input evaluates to True.

Parameters: input (Tensor) – The input Tensor.
Returns: Tensor

Supported Platforms:: Ascend

Examples

>>> import mindspore
>>> input = mindspore.tensor([[True, False], [True, True]])
>>> output = mindspore.mint.all(input)
>>> print(output)
False

mindspore.mint.all(input, dim, keepdim=False) → Tensor[source]

Tests if all element in input evaluates to True along the given axes.

Parameters

input (Tensor) – The input tensor.
dim (Union[int, tuple(int), list(int), Tensor]) – The dimensions to reduce. If None , all dimensions are reduced. Default None .
keepdim (bool, optional) – Whether the output tensor has dim retained or not. Default False .

Returns

Tensor

Supported Platforms:: Ascend

Examples

>>> import mindspore
>>> input = mindspore.tensor([[True, False], [True, True]])
>>>
>>> # case 1: Reduces a dimension along dim 1, with keepdim False.
>>> mindspore.mint.all(input, dim=1)
Tensor(shape=[2], dtype=Bool, value= [False,  True])
>>>
>>> # case 2: Reduces a dimension along dim (0, 1), with keepdim False.
>>> mindspore.mint.all(input, dim=(0,1))
Tensor(shape=[], dtype=Bool, value= False)
>>>
>>> # case 3: Reduces a dimension along dim [0, 1], with keepdim True.
>>> mindspore.mint.all(input, dim=[0,1], keepdim=True)
Tensor(shape=[1, 1], dtype=Bool, value=
[[False]])