mindspore.numpy.invert

mindspore.numpy.invert(x, dtype=None)[source]

Computes bit-wise inversion, or bit-wise NOT, element-wise. Computes the bit-wise NOT of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ~. For signed integer inputs, the two’s complement is returned. In a two’s-complement system negative numbers are represented by the two’s complement of the absolute value. This is the most common method of representing signed integers on computers [1]. A N-bit two’s-complement system can represent every integer in the range -2^{N-1} to +2^{N-1}-1.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. Supported dtypes on Ascend: np.int16, np.uint16.

Parameters

x (Tensor) – Only integer and boolean types are handled.
dtype (mindspore.dtype, optional) – Default: None . Overrides the dtype of the output Tensor.

Returns

Tensor or scalar.

Supported Platforms:: Ascend

Examples

>>> import mindspore.numpy as np
>>> print(np.invert(np.array(13, dtype=np.uint16)))
65522