equal_all

paddle. equal_all ( x: Tensor, y: Tensor, name: str | None = None ) → Tensor [source]

Returns the truth value of \(x == y\). True if two inputs have the same elements, False otherwise.

Note

The output has no gradient.

Parameters

• x (Tensor) – Tensor, data type is bool, float32, float64, int32, int64.

• y (Tensor) – Tensor, data type is bool, float32, float64, int32, int64.

• name (str|None, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to api_guide_Name.

Returns

output Tensor, data type is bool, value is [False] or [True].

Return type

Tensor

Examples

>>> import paddle

>>> x = paddle.to_tensor([1, 2, 3])
>>> y = paddle.to_tensor([1, 2, 3])
>>> z = paddle.to_tensor([1, 4, 3])
>>> result1 = paddle.equal_all(x, y)
>>> print(result1)
Tensor(shape=[], dtype=bool, place=Place(cpu), stop_gradient=True,
True)
>>> result2 = paddle.equal_all(x, z)
>>> print(result2)
Tensor(shape=[], dtype=bool, place=Place(cpu), stop_gradient=True,
False)