greater_equal¶

paddle.fluid.layers.control_flow. greater_equal ( x, y, cond=None, name=None ) [source]

Alias_main

paddle.greater_equal :alias: paddle.greater_equal,paddle.tensor.greater_equal,paddle.tensor.logic.greater_equal :old_api: paddle.fluid.layers.greater_equal

This OP returns the truth value of \(x >= y\) elementwise, which is equivalent function to the overloaded operator >=.

Parameters

• 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.

• 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

The tensor variable storing the output, the output shape is same as input x.

Return type

Variable, the output data type is bool

Examples

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]