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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.

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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.

- Incorrect schematic or architecture diagrams.

- Incorrect commands or command parameters.

- 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

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

mindspore.ops.igamma

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

Calculates lower regularized incomplete Gamma function.

If we define input as a and other as x, the lower regularized incomplete Gamma function is defined as:

P(a,x)=Gamma(a,x)/Gamma(a)=1Q(a,x)

where

Gamma(a,x)=0xta1exptdt

is the lower incomplete Gamma function.

Above Q(a,x) is the upper regularized complete Gamma function.

Warning

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

Parameters
  • input (Tensor) – The first input tensor.

  • other (Tensor) – The second input tensor.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> input = mindspore.tensor([2.0, 4.0, 6.0, 8.0])
>>> other = mindspore.tensor([2.0, 3.0, 4.0, 5.0])
>>> output = mindspore.ops.igamma(input, other)
>>> print(output)
[0.5939941  0.35276785 0.21486954 0.13337176]