greater_than

paddle. greater_than ( x: Tensor, y: Tensor, name: str | None = None, *, out: Tensor | None = None ) → Tensor [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, bfloat16, float16, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128. Alias: input.
y (Tensor) – Second input to compare which is N-D tensor. The input data type should be bool, bfloat16, float16, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128. Alias: other.
name (str|None, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to api_guide_Name.
out (Tensor, optional) – The output tensor. If provided, the result will be stored in this tensor.

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 ])

          