GitLab

* [Feat] Add public dataset support of VisualGLM.

* [Feat] Refactor LLaVA.

* [Feat] Add public dataset support of LlaVA.

* [Fix] Add  arg.

* [Feat] Support visualglm inference on MMBench.

* [Feat] Support llava inference on MMBench.

* [Fix] Fix pre-commit format.

* [Fix] Add docstring for llava

* [Fix] Fix multi-process inference error of LlaVA and add comments.
1. Set `low_cpu_mem_usage` to False to address device issue.
2. Add docstring and type hints.
3. Rename class and remove registry.

* [Fix] Pre-commit fix.

* [Fix] add forward entry, add dynamic import to seedbench

* [Fix] Fix pre-commit.

* [Fix] Fix missing context.

* [Fix] Fix docstring.

* [Feature]: Add minigpt-4

* [Feature]: Add mm local runner

* [Feature]: Add instructblip

* [Feature]: Delete redundant file

* [Feature]: Delete redundant file

* [Feature]: Add README to InstructBLIP

* [Feature]: Update MiniGPT-4

* [Fix]: Fix lint

* [Feature]add omnibenchmark readme (#49)

* add omnibenchmark readme

* fix

* Update OmniMMBench.md

* Update OmniMMBench.md

* Update OmniMMBench.md

* [Fix]: Refine name (#54)

* [Feature]: Unify out and err

* [Fix]: Fix lint

* [Feature]: Rename to mmbench and change weight path

* [Feature]: Delete Omni in instructblip

* [Feature]: Check the avaliablity of lavis

* [Fix]: Fix lint

* [Feature]: Refactor MM

* [Refactor]: Refactor path

* [Feature]: Delete redundant files

* [Refactor]: Delete redundant files

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Co-authored-by: Wangbo Zhao(黑色枷锁) <56866854+wangbo-zhao@users.noreply.github.com>