Traceback (most recent call last):
File "/home/sagemaker-user/CogVLM/basic_demo/cli_demo_sat.py", line 162, in
main()
File "/home/sagemaker-user/CogVLM/basic_demo/cli_demo_sat.py", line 37, in main
model, model_args = AutoModel.from_pretrained(
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 340, in from_pretrained
return cls.from_pretrained_base(name, args=args, home_path=home_path, url=url, prefix=prefix, build_only=build_only, overwrite_args=overwrite_args, kwargs)
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 332, in from_pretrained_base
model = get_model(args, model_cls, kwargs)
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 417, in get_model
model = model_cls(args, params_dtype=params_dtype, kwargs)
File "/home/sagemaker-user/CogVLM/utils/models/cogvlm_model.py", line 125, in init
super().init(args, transformer=transformer, kw_args)
File "/home/sagemaker-user/CogVLM/utils/models/cogvlm_model.py", line 104, in init
self.add_mixin("eva", ImageMixin(args))
File "/home/sagemaker-user/CogVLM/utils/models/cogvlm_model.py", line 77, in init
self.vit_model = EVA2CLIPModel(EVA2CLIPModel.get_args(vars(vit_args)))
File "/home/sagemaker-user/CogVLM/utils/models/eva_clip_model.py", line 110, in init
super().init(args, transformer=transformer, kwargs)
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 89, in init
success = _simple_init(model_parallel_size=args.model_parallel_size)
File "/opt/conda/lib/python3.10/site-packages/sat/arguments.py", line 322, in _simple_init
if initialize_distributed(args): # first time init model parallel, print warning
File "/opt/conda/lib/python3.10/site-packages/sat/arguments.py", line 500, in initialize_distributed
raise ValueError('model_parallel_size is inconsistent with prior configuration.'
ValueError: model_parallel_size is inconsistent with prior configuration.We currently do not support changing model_parallel_size.
I am encountering the above error while attempting to perform inference with the model I fine-tuned on a Captcha dataset with MP_SIZE 8 Per_Worker 8 WORLD_SIZE 8 setup. I have also completed the merge operation.
Akhim-yun
commented
2 weeks ago
Traceback (most recent call last): File "/home/sagemaker-user/CogVLM/basic_demo/cli_demo_sat.py", line 162, in
main()
File "/home/sagemaker-user/CogVLM/basic_demo/cli_demo_sat.py", line 37, in main
model, model_args = AutoModel.from_pretrained(
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 340, in from_pretrained
return cls.from_pretrained_base(name, args=args, home_path=home_path, url=url, prefix=prefix, build_only=build_only, overwrite_args=overwrite_args, kwargs)
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 332, in from_pretrained_base
model = get_model(args, model_cls, kwargs)
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 417, in get_model
model = model_cls(args, params_dtype=params_dtype, kwargs)
File "/home/sagemaker-user/CogVLM/utils/models/cogvlm_model.py", line 125, in init
super().init(args, transformer=transformer, kw_args)
File "/home/sagemaker-user/CogVLM/utils/models/cogvlm_model.py", line 104, in init
self.add_mixin("eva", ImageMixin(args))
File "/home/sagemaker-user/CogVLM/utils/models/cogvlm_model.py", line 77, in init
self.vit_model = EVA2CLIPModel(EVA2CLIPModel.get_args(vars(vit_args)))
File "/home/sagemaker-user/CogVLM/utils/models/eva_clip_model.py", line 110, in init
super().init(args, transformer=transformer, kwargs)
File "/opt/conda/lib/python3.10/site-packages/sat/model/base_model.py", line 89, in init
success = _simple_init(model_parallel_size=args.model_parallel_size)
File "/opt/conda/lib/python3.10/site-packages/sat/arguments.py", line 322, in _simple_init
if initialize_distributed(args): # first time init model parallel, print warning
File "/opt/conda/lib/python3.10/site-packages/sat/arguments.py", line 500, in initialize_distributed
raise ValueError('model_parallel_size is inconsistent with prior configuration.'
ValueError: model_parallel_size is inconsistent with prior configuration.We currently do not support changing model_parallel_size.
I am encountering the above error while attempting to perform inference with the model I fine-tuned on a Captcha dataset with MP_SIZE 8 Per_Worker 8 WORLD_SIZE 8 setup. I have also completed the merge operation.