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|
| import copy |
|
|
| from transformers import AutoConfig, LlamaConfig |
| from transformers.configuration_utils import PretrainedConfig |
| from transformers.utils import logging |
|
|
| from .configuration_navil_vit import NaViLVisionConfig |
|
|
| from .configuration_qwen3 import Qwen3VEConfig |
|
|
| logger = logging.get_logger(__name__) |
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|
|
|
| class NaViLChatConfig(PretrainedConfig): |
| model_type = 'navil_chat' |
| is_composition = True |
|
|
| def __init__( |
| self, |
| vision_config=None, |
| llm_config=None, |
| use_backbone_lora=0, |
| use_llm_lora=0, |
| pad2square=False, |
| select_layer=-1, |
| force_image_size=None, |
| downsample_ratio=0.5, |
| template=None, |
| anyres_image_size=True, |
| scale_downsample_ratio=0.7071, |
| ps_version='v1', |
| min_dynamic_patch=256, |
| max_dynamic_patch=24576, |
| **kwargs): |
| super().__init__(**kwargs) |
|
|
| if vision_config is None: |
| vision_config = {} |
| logger.info('vision_config is None. Initializing the NaViLVisionConfig with default values.') |
|
|
| if llm_config is None: |
| llm_config = {'architectures': ['InternLM2VEForCausalLM']} |
| logger.info('llm_config is None. Initializing the llm_config with default values (`InternLM2VEForCausalLM`).') |
|
|
| self.vision_config = NaViLVisionConfig(**vision_config) |
| self.vision_config.downsample_ratio = downsample_ratio |
| if llm_config['architectures'][0] == 'Qwen3VEForCausalLM': |
| self.llm_config = Qwen3VEConfig(**llm_config) |
| else: |
| raise ValueError('Unsupported architecture: {}'.format(llm_config['architectures'][0])) |
| self.use_backbone_lora = use_backbone_lora |
| self.use_llm_lora = use_llm_lora |
| self.pad2square = pad2square |
| self.select_layer = select_layer |
| self.force_image_size = force_image_size |
| self.downsample_ratio = downsample_ratio |
| self.template = template |
|
|
| self.anyres_image_size = anyres_image_size |
| self.scale_downsample_ratio = scale_downsample_ratio |
| self.ps_version = ps_version |
| self.min_dynamic_patch = min_dynamic_patch |
| self.max_dynamic_patch = max_dynamic_patch |
|
|
| 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. Override 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.__class__.model_type |
| output['use_backbone_lora'] = self.use_backbone_lora |
| output['use_llm_lora'] = self.use_llm_lora |
| output['pad2square'] = self.pad2square |
| 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['anyres_image_size'] = self.anyres_image_size |
| output['scale_downsample_ratio'] = self.scale_downsample_ratio |
| output['ps_version'] = self.ps_version |
| output['min_dynamic_patch'] = self.min_dynamic_patch |
| output['max_dynamic_patch'] = self.max_dynamic_patch |
|
|
| return output |
|
|
