eq

paddle. eq ( x: Tensor, y: Tensor, name: str | None = None, *, out: Tensor | 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. alias: input
y (Tensor) – Tensor, data type is bool, float16, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128. alias: other
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.
out (Tensor, optional) – Output tensor. If provided, the result will be stored in this tensor.

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])

          