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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

- Usability:

- 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

- Correctness:

- 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.

- Commands inconsistent with the functions.

- Wrong screenshots.

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

Risk Warnings

- Risk Warnings:

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

Content Compliance

- Content Compliance:

- Contents that may violate applicable laws and regulations or geo-cultural context-sensitive words and expressions.

- Copyright infringement.

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mindspore.ops.bessel_i1

mindspore.ops.bessel_i1(x)

Computes the first order modified Bessel function of the first kind for each element input.

$$\begin{array}{r}\begin{array}{l}\\ I_1(x)={\mathrm{i}}^{-1}{J}_1(\mathrm{i}x)=\sum _{m=0}^{\mathrm{\infty }}\frac{x^{2m+1}}{2^{2m+1}m!(m+1)!}\end{array}\end{array}$$

Parameters

x (Tensor) – The input tensor.

Returns

Tensor

Supported Platforms:

GPU CPU

Examples

>>> import mindspore
>>> x = mindspore.tensor([-1., -0.5, 0.5, 1.])
>>> output = mindspore.ops.bessel_i1(x)
>>> print(output)
[-0.5651591  -0.25789431  0.25789431  0.5651591]