[Fix]: Fix name (#223)

configs/multimodal/minigpt_4/minigpt_4_7b_mmbench.py

@@ -21,14 +21,15 @@ dataset = dict(type='opencompass.MMBenchDataset',
                data_file='data/mmbench/mmbench_test_20230712.tsv',
                pipeline=val_pipeline)
 
-minigpt_4_dataloader = dict(batch_size=1,
-                            num_workers=4,
-                            dataset=dataset,
-                            collate_fn=dict(type='pseudo_collate'),
-                            sampler=dict(type='DefaultSampler', shuffle=False))
+minigpt_4_mmbench_dataloader = dict(batch_size=1,
+                                    num_workers=4,
+                                    dataset=dataset,
+                                    collate_fn=dict(type='pseudo_collate'),
+                                    sampler=dict(type='DefaultSampler',
+                                                 shuffle=False))
 
 # model settings
-minigpt_4_model = dict(
+minigpt_4_mmbench_model = dict(
     type='minigpt-4',
     low_resource=False,
     llama_model='/path/to/vicuna-7b/',
@@ -38,9 +39,9 @@ minigpt_4_model = dict(
     post_processor=dict(type=MiniGPT4MMBenchPostProcessor))
 
 # evaluation settings
-minigpt_4_evaluator = [
+minigpt_4_mmbench_evaluator = [
     dict(type='opencompass.DumpResults',
          save_path='work_dirs/minigpt-4-7b-mmbench.xlsx')
 ]
 
-minigpt_4_load_from = '/path/to/prerained_minigpt4_7b.pth'  # noqa
+minigpt_4_mmbench_load_from = '/path/to/prerained_minigpt4_7b.pth'  # noqa

configs/multimodal/seedbench.py

-from mmengine.config import read_base
-
-with read_base():
-    from .minigpt_4.minigpt_4_7b_seedbench import (
-        minigpt_4_seedbench_dataloader, minigpt_4_seedbench_evaluator,
-        minigpt_4_load_from, minigpt_4_seedbench_model)
-
-models = [minigpt_4_seedbench_model]
-datasets = [minigpt_4_seedbench_dataloader]
-evaluators = [minigpt_4_seedbench_evaluator]
-load_froms = [minigpt_4_load_from]
-num_gpus = 1
-num_procs = 1
-launcher = 'slurm'

configs/multimodal/tasks.py

 from mmengine.config import read_base
 
 with read_base():
-    from .minigpt_4.minigpt_4_7b_mmbench import (minigpt_4_dataloader,
-                                                 minigpt_4_evaluator,
-                                                 minigpt_4_load_from,
-                                                 minigpt_4_model)
+    from .minigpt_4.minigpt_4_7b_mmbench import (minigpt_4_mmbench_dataloader,
+                                                 minigpt_4_mmbench_evaluator,
+                                                 minigpt_4_mmbench_load_from,
+                                                 minigpt_4_mmbench_model)
 
-models = [minigpt_4_model]
-datasets = [minigpt_4_dataloader]
-evaluators = [minigpt_4_evaluator]
-load_froms = [minigpt_4_load_from]
+models = [minigpt_4_mmbench_model]
+datasets = [minigpt_4_mmbench_dataloader]
+evaluators = [minigpt_4_mmbench_evaluator]
+load_froms = [minigpt_4_mmbench_load_from]
 num_gpus = 8
 num_procs = 8
 launcher = 'pytorch'
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