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| # -------------------------------------------------------- | |
| # Adapted from https://huggingface.co/OpenGVLab/InternVL2-Llama3-76B under MIT License | |
| # LICENSE is in incl_licenses directory. | |
| # -------------------------------------------------------- | |
| import copy | |
| from transformers import AutoConfig, Qwen2Config | |
| from transformers.configuration_utils import PretrainedConfig | |
| from transformers.utils import logging | |
| from .configuration_intern_vit import InternVisionConfig | |
| logger = logging.get_logger(__name__) | |
| class LlavaQwConfig(PretrainedConfig): | |
| model_type = 'LlavaQw' | |
| is_composition = True | |
| def __init__( | |
| self, | |
| vision_config=None, | |
| llm_config=None, | |
| use_backbone_lora=0, | |
| use_llm_lora=0, | |
| select_layer=-1, | |
| force_image_size=None, | |
| downsample_ratio=0.5, | |
| template=None, | |
| dynamic_image_size=False, | |
| use_thumbnail=False, | |
| ps_version='v1', | |
| min_dynamic_patch=1, | |
| max_dynamic_patch=6, | |
| **kwargs | |
| ): | |
| super().__init__(**kwargs) | |
| if vision_config is None: | |
| vision_config = {'architectures': ['InternVisionModel']} | |
| logger.info('vision_config is None. Initializing InternVisionConfig with default values.') | |
| # Handle llm_config initialization | |
| if llm_config is None: | |
| llm_config = {'architectures': ['Qwen2ForCausalLM']} | |
| logger.info('llm_config is None. Initializing LLM Config with default values.') | |
| self.vision_config = InternVisionConfig(**vision_config) | |
| # Check for supported architecture | |
| if llm_config.get('architectures', [None])[0] == 'Qwen2ForCausalLM': | |
| self.llm_config = Qwen2Config(**llm_config) | |
| else: | |
| raise ValueError(f"Unsupported architecture: {llm_config.get('architectures', [None])[0]}") | |
| # Assign configuration values | |
| self.use_backbone_lora = use_backbone_lora | |
| self.use_llm_lora = use_llm_lora | |
| self.select_layer = select_layer | |
| self.force_image_size = force_image_size | |
| self.downsample_ratio = downsample_ratio | |
| self.template = template | |
| self.dynamic_image_size = dynamic_image_size | |
| self.use_thumbnail = use_thumbnail | |
| self.ps_version = ps_version # Pixel shuffle version | |
| self.min_dynamic_patch = min_dynamic_patch | |
| self.max_dynamic_patch = max_dynamic_patch | |
| # Log important parameters | |
| logger.info(f'vision_select_layer: {self.select_layer}') | |
| logger.info(f'ps_version: {self.ps_version}') | |
| logger.info(f'min_dynamic_patch: {self.min_dynamic_patch}') | |
| logger.info(f'max_dynamic_patch: {self.max_dynamic_patch}') | |
| def to_dict(self): | |
| """ | |
| Serializes this instance to a Python dictionary. Overrides the default `PretrainedConfig.to_dict`. | |
| Returns: | |
| Dict[str, Any]: Dictionary of all the attributes that make up this configuration instance. | |
| """ | |
| output = copy.deepcopy(self.__dict__) | |
| output['vision_config'] = self.vision_config.to_dict() | |
| output['llm_config'] = self.llm_config.to_dict() | |
| output['model_type'] = self.model_type | |
| output['use_backbone_lora'] = self.use_backbone_lora | |
| output['use_llm_lora'] = self.use_llm_lora | |
| output['select_layer'] = self.select_layer | |
| output['force_image_size'] = self.force_image_size | |
| output['downsample_ratio'] = self.downsample_ratio | |
| output['template'] = self.template | |
| output['dynamic_image_size'] = self.dynamic_image_size | |
| output['use_thumbnail'] = self.use_thumbnail | |
| output['ps_version'] = self.ps_version | |
| output['min_dynamic_patch'] = self.min_dynamic_patch | |
| output['max_dynamic_patch'] = self.max_dynamic_patch | |
| return output | |