mindspore.ops.greater

mindspore.ops.greater(input, other)[source]

Computes the boolean value of \(input > other\) element-wise.

Parameters

input (Union[Tensor, number.Number, bool]) – The first input is a number.Number or a bool or a tensor whose data type is number or bool_ .
other (Union[Tensor, number.Number, bool]) – The second input, when the first input is a Tensor, the second input should be a number.Number or bool value, or a Tensor whose data type is number or bool_. When the first input is Scalar, the second input must be a Tensor whose data type is number or bool_.

Returns

Tensor, the shape is the same as the one after broadcasting, and the data type is bool.

Supported Platforms:: Ascend CPU GPU

Examples

>>> x = Tensor(np.array([1, 2, 3]), mindspore.int32)
>>> y = Tensor(np.array([1, 1, 4]), mindspore.int32)
>>> output = ops.greater(x, y)
>>> print(output)
[False True False]