| | |
| | |
| | |
| | |
| | |
| |
|
| | import copy |
| |
|
| | from transformers import AutoConfig, LlamaConfig |
| | from transformers.configuration_utils import PretrainedConfig |
| | from transformers.utils import logging |
| |
|
| | from .configuration_intern_vit import InternVisionConfig |
| | from .configuration_internlm2 import InternLM2Config |
| |
|
| | logger = logging.get_logger(__name__) |
| |
|
| |
|
| | class InternVLChatConfig(PretrainedConfig): |
| | model_type = 'internvl_chat' |
| | 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 = {} |
| | logger.info('vision_config is None. Initializing the InternVisionConfig with default values.') |
| |
|
| | if llm_config is None: |
| | llm_config = {} |
| | logger.info('llm_config is None. Initializing the LlamaConfig config with default values (`LlamaConfig`).') |
| |
|
| | self.vision_config = InternVisionConfig(**vision_config) |
| | if llm_config['architectures'][0] == 'LlamaForCausalLM': |
| | self.llm_config = LlamaConfig(**llm_config) |
| | elif llm_config['architectures'][0] == 'InternLM2ForCausalLM': |
| | self.llm_config = InternLM2Config(**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.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 |
| | 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['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 |
| |
|
