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[bugfix] fix coverity issues #2722

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merged 1 commit into from
Aug 30, 2024

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djeong20
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This PR resolves coverity issues in the ShortTensor class. Replace max_abs() implementation with maxValue() since the maximum absolute value of unsigned int equals to the maximum value.

Self-evaluation:

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  2. Run test: [X]Passed [ ]Failed [ ]Skipped

This PR resolves coverity issues in the ShortTensor class.
Replace max_abs() implementation with maxValue() since the maximum absolute value of unsigned int equals to the maximum value.

**Self-evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test:   [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: Donghyeon Jeong <dhyeon.jeong@samsung.com>
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taos-ci commented Aug 29, 2024

📝 TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #2722. Please a submit 1commit/1PR (one commit per one PR) policy to get comments quickly from reviewers. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://ci.nnstreamer.ai/.

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@EunjuYang EunjuYang left a comment

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LGTM.
BTW, ShortTensor sounds like int16 not uint16 (It made me confused). Please think rename this when one adds int16 tensor :)

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@djeong20, 💯 All CI checkers are successfully verified. Thanks.

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@skykongkong8 skykongkong8 left a comment

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LGTM!

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skykongkong8 commented Aug 29, 2024

LGTM. BTW, ShortTensor sounds like int16 not uint16 (It made me confused). Please think rename this when one adds int16 tensor :)

I agree. I think it would be better to have something that clarifies its characteristics such as unsigend or quantized, etc


return max_val;
}
float ShortTensor::max_abs() const { return maxValue(); }

float ShortTensor::maxValue() const {
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@skykongkong8 skykongkong8 Aug 29, 2024

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And just curious, if this tensor is containing 'unsigned' integer, why should it be max_"abs" ? it is already absolute.

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sorry I didn't quite understand. do you mean why max_abs() should be used?

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Yes. I think can't see any difference between maxValue and maxAbsoluteValue for this tensor

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You're right! There's no difference between max_abs() and maxValue() for this tensor class. That's why max_abs() is using maxValue(). The reason why there are max_abs() and maxValue() is to be compatible with the TensorBase and Tensor class. While max_abs() is currently a pure virtual function, it will get a compile error without implementing max_abs() in the ShortTensor class.

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@baek2sm baek2sm left a comment

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LGTM!

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@lhs8928 lhs8928 left a comment

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LGTM

@jijoongmoon jijoongmoon merged commit 656a231 into nnstreamer:main Aug 30, 2024
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@djeong20 djeong20 deleted the fix/coverity/082924 branch October 16, 2024 00:03
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7 participants