mindspore.ops.all

mindspore.ops.all(input, axis=None, keep_dims=False)[source]

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

Warning

Starting after version 2.9.0, this API will undergo an incompatible change:

  • The parameter axis will be renamed to dim.

  • The parameter keep_dims will be renamed to keepdim.

The new signature will be mindspore.ops.all(input, dim=None, keepdim=False).

Parameters

  • input (Tensor) – The input Tensor.

  • axis (Union[int, tuple(int), list(int), Tensor], optional) – The dimensions to reduce. If None , all dimensions are reduced. Default None . Will be renamed to dim after version 2.9.0.

  • keep_dims (bool, optional) – Whether the output tensor has dim retained or not. Default False . Will be renamed to keepdim after version 2.9.0.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

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