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]