mindspore.Tensor.all

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

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

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.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]])
Tensor.all(dim=None, keepdim=False) → Tensor

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

Parameters

  • dim (Union[int, tuple(int), list(int), Tensor], optional) – 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 GPU CPU

Examples

>>> 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]])