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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

- Incorrect links, empty cells, or wrong formats.

- Chinese characters in English context.

- Minor inconsistencies between the UI and descriptions.

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- Incorrect version numbers, including software package names and version numbers on the UI.

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- Incorrect or missing key steps.

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- Unclear logic, such as missing classifications, items, and steps.

Correctness

- Correctness:

- Technical principles, function descriptions, supported platforms, parameter types, or exceptions inconsistent with that of software implementation.

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- Incorrect code.

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- Sample code running error, or running results inconsistent with the expectation.

Risk Warnings

- Risk Warnings:

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Problem description

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mindspore.ops.zeta

View Source On Gitee
mindspore.ops.zeta(input, other)[source]

Elemental-wise compute the Hurwitz zeta output.

ζ(x,q)=k=01(k+q)x

Warning

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

Parameters
  • input (Union[Tensor, int, float]) – Input Tensor. Represented as x in the formula. If it's a Tensor, its dtype must be either float32 or float64.

  • other (Union[Tensor, int, float]) – Input Tensor must have the same dtype as input. Represented as q in the formula.

Returns

Tensor, The result of Hurwitz zeta function.

Raises
  • TypeError – If neither input nor other is not tensor.

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

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

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)
>>> z = ops.zeta(x, q)
>>> print(z)
[1.0009946]