mindspore.numpy.sign

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

Returns an element-wise indication of the sign of a number.

The sign function returns -1 if x < 0, 0 if x == 0, 1 if x > 0. nan is returned for nan inputs.

Note

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

Parameters

x (Union[int, float, list, tuple, Tensor]) – Input values.
dtype (mindspore.dtype, optional) – Default: None . Overrides the dtype of the output Tensor.

Returns

The sign of x. This is a tensor or a scalar when x is a scalar.

Raises

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

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.sign(np.array([-1., 0., 1., 1.2]))
>>> print(output)
[-1.  0.  1.  1.]