mindspore.Tensor.all

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

检查指定维度上是否所有元素均为 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.all tests along all the axes.
>>> x.all()
Tensor(shape=[], dtype=Bool, value= False)
>>> 
>>> # case 2: Reduces a dimension along axis 1, with keep_dims False.
>>> x.all(axis=1)
Tensor(shape=[2], dtype=Bool, value= [False,  True])
>>>
>>> # case 3: Reduces a dimension along axis (0, 1), with keep_dims False.
>>> x.all(axis=(0,1))
Tensor(shape=[], dtype=Bool, value= False)
>>>
>>> # case 4: Reduces a dimension along axis [0, 1], with keep_dims True.
>>> x.all(axis=[0,1], keep_dims=True)
Tensor(shape=[1, 1], dtype=Bool, value=
[[False]])

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

检查指定维度上是否所有元素均为 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.all tests along all the axes.
>>> x.all()
Tensor(shape=[], dtype=Bool, value= False)
>>> 
>>> # case 2: Reduces a dimension along dim 1, with keepdim False.
>>> x.all(dim=1)
Tensor(shape=[2], dtype=Bool, value= [False,  True])
>>>
>>> # case 3: Reduces a dimension along dim (0, 1), with keepdim False.
>>> x.all(dim=(0,1))
Tensor(shape=[], dtype=Bool, value= False)
>>>
>>> # case 4: Reduces a dimension along dim [0, 1], with keepdim True.
>>> x.all(dim=[0,1], keepdim=True)
Tensor(shape=[1, 1], dtype=Bool, value=
[[False]])