mindspore.ops.Zeta

class mindspore.ops.Zeta[source]

Compute the Hurwitz zeta function ζ(x,q) of input Tensor.

\[\zeta \left ( x,q \right )= \textstyle \sum_{n=0} ^ {\infty} \left ( q+n\right )^{-x}\]

Warning

This is an experimental API that is subject to change or deletion.

Inputs:

  • x (Tensor) - A Tensor, types: float32, float64.

  • q (Tensor) - A Tensor, must have the same shape and type as x.

Outputs:

Tensor, has the same dtype and shape as the x.

Raises

  • TypeError – If either of x and q is not tensor.

  • TypeError – If dtype of x is neither float32 nor float64.

  • TypeError – If dtype of q is neither float32 nor float64.

  • ValueError – If shape of x is not same as the q.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x = Tensor(np.array([10.]), mindspore.float32)
>>> q = Tensor(np.array([1.]), mindspore.float32)
>>> zeta = ops.Zeta()
>>> z = zeta(x, q)
>>> print(z)
[1.0009946]