elementwise_equal¶
-
paddle.fluid.layers.
elementwise_equal
(x, y, name=None)[source] This layer returns the truth value of \(x == y\) elementwise.
- Parameters
x (Variable) – Tensor, data type is float32, float64, int32, int64.
y (Variable) – Tensor, data type is float32, float64, int32, int64.
name (str, 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
Variable
Examples
import paddle.fluid as fluid import numpy as np label = fluid.layers.assign(np.array([3, 3], dtype="int32")) limit = fluid.layers.assign(np.array([3, 2], dtype="int32")) out1 = fluid.layers.elementwise_equal(x=label, y=limit) #out1=[True, False]