greater_equal(x, y, cond=None)
This OP returns the truth value of \(x >= y\) elementwise, which is equivalent function to the overloaded operator >=.
x (Variable) – First input to compare which is N-D tensor. The input data type should be float32, float64, int32, int64.
y (Variable) – Second input to compare which is N-D tensor. The input data type should be float32, float64, int32, int64.
cond (Variable, optional) – Optional output which can be any created Variable that meets the requirements to store the result of greater_equal. if cond is None, a new Varibale will be created to store the result.
The tensor variable storing the output, the output shape is same as input
- Return type
Variable, the output data type is bool
import paddle.fluid as fluid import numpy as np label = fluid.layers.assign(np.array([2, 2], dtype='int32')) limit = fluid.layers.assign(np.array([2, 3], dtype='int32')) out = fluid.layers.greater_equal(x=label, y=limit) #out=[True, False] out_1 = label >= limit #out1=[True, False]