mindspore.ops.greater_equal

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

Given two Tensors, compares them element-wise to check if each element in the first Tensor is greater than or equal to the corresponding element in the second Tensor.

Refer to mindspore.ops.ge() for more details.

Parameters

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

Returns

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

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([1, 2, 3]), mindspore.int32)
>>> other = Tensor(np.array([1, 1, 4]), mindspore.int32)
>>> output = ops.greater_equal(input, other)
>>> print(output)
[True True False]