mindspore.numpy.copysign

mindspore.numpy.copysign(x1, x2, dtype=None)[source]

Changes the sign of x1 to that of x2, element-wise.

If x2 is a scalar, its sign will be copied to all elements of x1.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. Complex inputs are not supported now.

Parameters

x1 (Union[int, float, list, tuple, Tensor]) – Values to change the sign of.
x2 (Union[int, float, list, tuple, Tensor]) – The sign of x2 is copied to x1. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
dtype (mindspore.dtype, optional) – Default: None . Overrides the dtype of the output Tensor.

Returns

Tensor or scalar. The values of x1 with the sign of x2. This is a scalar if both x1 and x2 are scalars.

Raises

TypeError – If dtype of the input is not in the given types or the input can not be converted to tensor.

Examples

>>> import mindspore.numpy as np
>>> output = np.copysign(np.array([1, -1, -1]), np.array([-1, 1, -1]))
>>> print(output)
[-1  1 -1]