OpenCompass/opencompass/multimodal/models/__init__.py

from opencompass.utils import satisfy_requirement

if satisfy_requirement('salesforce-lavis'):
    from .instructblip import *  # noqa: F401, F403

from .llava import *  # noqa: F401, F403
from .minigpt_4 import *  # noqa: F401, F403
from .visualglm import *  # noqa: F401, F403
[Feature]: Use multimodal (#73) * [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 --------- Co-authored-by: Wangbo Zhao(黑色枷锁) <56866854+wangbo-zhao@users.noreply.github.com> 2023-08-03 11:07:50 +08:00			`from opencompass.utils import satisfy_requirement`

			`if satisfy_requirement('salesforce-lavis'):`
			`from .instructblip import * # noqa: F401, F403`
[Feat] Support visualglm and llava for MMBench evaluation. (#211) * [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. 2023-08-21 15:57:30 +08:00
			`from .llava import * # noqa: F401, F403`
[Feature]: Use multimodal (#73) * [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 --------- Co-authored-by: Wangbo Zhao(黑色枷锁) <56866854+wangbo-zhao@users.noreply.github.com> 2023-08-03 11:07:50 +08:00			`from .minigpt_4 import * # noqa: F401, F403`
[Feat] Support visualglm and llava for MMBench evaluation. (#211) * [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. 2023-08-21 15:57:30 +08:00			`from .visualglm import * # noqa: F401, F403`