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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.

- Low writing fluency that does not affect understanding.

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

Usability

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- Incorrect or missing key steps.

- Missing main function descriptions, keyword explanation, necessary prerequisites, or precautions.

- Ambiguous descriptions, unclear reference, or contradictory context.

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

Correctness

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

- Incorrect schematic or architecture diagrams.

- Incorrect commands or command parameters.

- Incorrect code.

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- Wrong screenshots.

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

Risk Warnings

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- Lack of risk warnings for operations that may damage the system or important data.

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Problem description

Describe the bug so that we can quickly locate the problem.

mindspore.ops.acosh

View Source On Gitee
mindspore.ops.acosh(input)[source]

Computes inverse hyperbolic cosine of each element in inputs tensors.

outi=cosh1(inputi)

Note

Given an input tensor input, the function computes inverse hyperbolic cosine of every element. Input range is [1, inf].

Parameters

input (Tensor) – The input tensor.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> output = mindspore.ops.acosh(mindspore.tensor([1.0, 1.5, 3.0, 100.0]))
>>> print(output)
[0.        0.9624237 1.7627472 5.298292 ]