File size: 1,506 Bytes
158994e c1ea139 158994e |
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 |
import os
from typing import Union
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
class MixinConfig(PretrainedConfig):
def __init__(
self,
mixin_every_n_layers=4,
language_dim=4096,
vision_dim=4096,
head_dim=128,
num_heads=16,
intermediate_size=16384,
**kwargs,
):
super().__init__(**kwargs)
self.mixin_every_n_layers = mixin_every_n_layers
self.language_dim=language_dim
self.vision_dim=vision_dim
self.head_dim=head_dim
self.num_heads=num_heads
self.intermediate_size=intermediate_size
@classmethod
def from_pretrained(cls, pretrained_model_name_or_path: Union[str, os.PathLike], **kwargs) -> 'PretrainedConfig':
config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
if 'mixin_config' in config_dict:
config_dict = config_dict['mixin_config']
if 'model_type' in config_dict and hasattr(cls, 'model_type') and config_dict['model_type'] != cls.model_type:
logger.warning(
f"You are using a model of type {config_dict['model_type']} to instantiate a model of type "
f'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'
)
return cls.from_dict(config_dict, **kwargs) |