mindspore.numpy.not_equal
- mindspore.numpy.not_equal(x1, x2, dtype=None)[source]
- Returns (x1 != x2) element-wise. - Note - Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. - Parameters
- x1 (Tensor) – First input tensor to be compared. 
- x2 (Tensor) – Second input tensor to be compared. 
- dtype ( - mindspore.dtype, optional) – Defaults to None. Overrides the dtype of the output Tensor.
 
- Returns
- Tensor or scalar, element-wise comparison of x1 and x2. Typically of type bool, unless dtype is passed. This is a scalar if both x1 and x2 are scalars. 
- Raises
- TypeError – If the input is not a tensor. 
 - Supported Platforms:
- Ascend- GPU- CPU
 - Examples - >>> import mindspore.numpy as np >>> a = np.asarray([1, 2]) >>> b = np.asarray([[1, 3],[1, 4]]) >>> print(np.not_equal(a, b)) [[False True] [False True]]