mindspore.Tensor.any

Tensor.any(axis=None, keep_dims=False) → Tensor

Tests if any element in tensor evaluates to True along the given axes.

Warning

Non-backward-compatible change after version 2.9.0: overload any(axis=None, keep_dims=False) will be removed, and only any(dim=None, keepdim=False) will be supported.

Parameters

• axis (Union[int, tuple(int), list(int), Tensor], optional) – The dimensions to reduce. If None , all dimensions are reduced. Default None .

• keep_dims (bool, optional) – Whether the output tensor has dim retained or not. Default False .

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> x = mindspore.tensor([[True, False], [True, True]])
>>>
>>> # case 1: By default, mindspore.Tensor.any tests along all the axes.
>>> x.any()
Tensor(shape=[], dtype=Bool, value= True)
>>>
>>> # case 2: Reduces a dimension along axis 1, with keep_dims False.
>>> x.any(axis=1)
Tensor(shape=[2], dtype=Bool, value= [ True,  True])
>>>
>>> # case 3: Reduces a dimension along axis (0, 1), with keep_dims False.
>>> x.any(axis=(0,1))
Tensor(shape=[], dtype=Bool, value= True)
>>>
>>> # case 4: Reduces a dimension along axis [0, 1], with keep_dims True.
>>> x.any(axis=[0,1], keep_dims=True)
Tensor(shape=[1, 1], dtype=Bool, value=
[[ True]])

Tensor.any(dim=None, keepdim=False) → Tensor

For details, please refer to mindspore.mint.any().