mindspore.ops.NotEqual
- class mindspore.ops.NotEqual[source]
Computes the non-equivalence of two tensors element-wise.
Refer to
mindspore.ops.ne()
for more details.- Inputs:
x (Union[Tensor, Number, bool]) - The first input is a number or a bool or a tensor whose data type is number or bool.
y (Union[Tensor, Number, bool]) - The second input is a number or a bool when the first input is a tensor or a tensor whose data type is number or bool.
- Outputs:
Tensor, it has the same shape as the x and y 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 >>> x = Tensor(np.array([1, 2, 3]), mindspore.float32) >>> not_equal = ops.NotEqual() >>> output = not_equal(x, 2.0) >>> print(output) [ True False True] >>> >>> x = Tensor(np.array([1, 2, 3]), mindspore.int32) >>> y = Tensor(np.array([1, 2, 4]), mindspore.int32) >>> not_equal = ops.NotEqual() >>> output = not_equal(x, y) >>> print(output) [False False True]