[Layer] Create Depthwise 2D Convolution

DonghakPark commented 3 months ago

This pull request defines a header file for depthwise convolution.

It is a draft for a new layer and welcome any feedback or assistance you may have.

This layer is necessary to support various applications such as SV.

Depthwise convolution is a type of convolution in which each input channel is convolved with a different kernel (called a depthwise kernel).
Unlike a regular 2D convolution, depthwise convolution does not mix information across different input channels.

Changes proposed in this PR:

Add Depthwise Convolution 2D Layer

Resolves:

2520

Self evaluation:

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taos-ci commented 3 months ago

:memo: TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #2521. 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/.

myungjoo commented 3 months ago

Merge when you are ready. (don't need to wait for more approvals)

nnstreamer / nntrainer

[Layer] Create Depthwise 2D Convolution #2521

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