- paddle. greater_equal ( x, y, name=None )
This OP returns the truth value of \(x >= y\) elementwise, which is equivalent function to the overloaded operator >=.
NOTICE: The output of this OP has no gradient.
x (Tensor) – First input to compare which is N-D tensor. The input data type should be bool, float32, float64, int32, int64.
y (Tensor) – Second input to compare which is N-D tensor. The input data type should be bool, 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.
The tensor storing the output, the output shape is same as input
- Return type
Tensor, the output data type is bool
import paddle x = paddle.to_tensor([1, 2, 3]) y = paddle.to_tensor([1, 3, 2]) result1 = paddle.greater_equal(x, y) print(result1) # result1 = [True False True]