File size: 2,615 Bytes
df93aa1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
# --------------------------------------------------------
# InternVL
# Copyright (c) 2023 OpenGVLab
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import copy
from transformers import LlamaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
from .configuration_intern_vit import InternVisionConfig
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,
pad2square=False,
select_layer=-4,
force_image_size=None,
downsample_ratio=0.5,
template=None,
**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)
self.llm_config = LlamaConfig(**llm_config)
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
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
return output
|