mindspore.Tensor.any

mindspore.Tensor.any(axis=None, keep_dims=False)

检查指定维度上是否含有 True。

参数：

axis (Union[int, tuple(int), list(int), Tensor], 可选) - 要减少的维度。如果为 None，减少所有维度。默认 None 。
keep_dims (bool, 可选) - 输出tensor是否保留维度。默认 False 。

返回：

Tensor

支持平台：

Ascend GPU CPU

样例：

>>> 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]])

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

检查指定维度上是否含有 True。

参数：

dim (Union[int, tuple(int), list(int), Tensor], 可选) - 要减少的维度。如果为 None，减少所有维度。默认 None 。
keepdim (bool, 可选) - 输出tensor是否保留维度。默认 False 。

返回：

Tensor

支持平台：

Ascend GPU CPU

样例：

>>> 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 dim 1, with keepdim False.
>>> x.any(dim=1)
Tensor(shape=[2], dtype=Bool, value= [ True,  True])
>>>
>>> # case 3: Reduces a dimension along dim (0, 1), with keepdim False.
>>> x.any(dim=(0,1))
Tensor(shape=[], dtype=Bool, value= True)
>>>
>>> # case 4: Reduces a dimension along dim [0, 1], with keepdim True.
>>> x.any(dim=[0,1], keepdim=True)
Tensor(shape=[1, 1], dtype=Bool, value=
[[ True]])