mindspore.numpy.power

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

First array elements raised to powers from second array, element-wise.

Raises each base in x1 to the positionally-corresponding power in x2.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. On GPU, the supported dtypes are np.float16, and np.float32.

Parameters

x1 (Tensor) – The bases.
x2 (Tensor) – The exponents.
dtype (mindspore.dtype, optional) – Default: None . Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, the bases in x1 raised to the exponents in x2. This is a scalar if both x1 and x2 are scalars.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> x1 = np.full((3, 2), [1, 2]).astype('float32')
>>> x2 = np.full((3, 2), [3, 4]).astype('float32')
>>> output = np.power(x1, x2)
>>> print(output)
[[ 1. 16.]
[ 1. 16.]
[ 1. 16.]]