greater_than¶
- paddle. greater_than ( x, y, name=None ) [source]
-
Returns the truth value of \(x > y\) elementwise, which is equivalent function to the overloaded operator >.
Note
The output has no gradient.
- Parameters
-
x (Tensor) – First input to compare which is N-D tensor. The input data type should be bool, float16, float32, float64, uint8, int8, int16, int32, int64.
y (Tensor) – Second input to compare which is N-D tensor. The input data type should be bool, float16, float32, float64, uint8, int8, int16, 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
-
The output shape is same as input
x
. The output data type is bool. - Return type
-
Tensor
Examples
>>> import paddle >>> x = paddle.to_tensor([1, 2, 3]) >>> y = paddle.to_tensor([1, 3, 2]) >>> result1 = paddle.greater_than(x, y) >>> print(result1) Tensor(shape=[3], dtype=bool, place=Place(cpu), stop_gradient=True, [False, False, True ])