equal

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

This layer returns the truth value of \(x == y\) elementwise.

Note

The output has no gradient.

Parameters :
  • x (Tensor) – Tensor, data type is bool, float16, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128.

  • y (Tensor) – Tensor, data type is bool, float16, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128.

  • 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 Name.

Returns :

output Tensor, it’s shape is the same as the input’s Tensor, and the data type is bool. The result of this op is stop_gradient.

Return type :

Tensor

Examples

>>> import paddle

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