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import transformers
from transformers.utils import logging
from transformers.models.auto import CONFIG_MAPPING, AutoConfig
from transformers.configuration_utils import PretrainedConfig
logger = logging.get_logger(__name__)
class LDPConfig(PretrainedConfig):
model_type = "ldpnetv2_projector"
def __init__(
self,
in_hidden_size=1024,
out_hidden_size=2048,
grid_size=12,
**kwargs
):
self.in_hidden_size = in_hidden_size
self.out_hidden_size = out_hidden_size
self.grid_size = grid_size
super().__init__(**kwargs)
class MLPProjectorConfig(PretrainedConfig):
model_type = "mlp2x_projector"
def __init__(
self,
hidden_act="gelu",
in_hidden_size=1024,
out_hidden_size=2048,
bias: bool=True,
**kwargs
):
self.hidden_act = hidden_act
self.in_hidden_size = in_hidden_size
self.out_hidden_size = out_hidden_size
self.bias = bias
super().__init__(**kwargs)
class AX4VLConfig(PretrainedConfig):
model_type = "a.x-4-vl"
sub_configs = {
"text_config": AutoConfig,
"projector_config": AutoConfig,
"vision_config": AutoConfig
}
def __init__(
self,
vision_config=None,
projector_config=None,
text_config=None,
image_token_index=102400,
vision_feature_select_strategy="full",
vision_feature_layer=0,
tie_word_embeddings=False,
**kwargs,
):
self.image_token_index = image_token_index
if vision_feature_select_strategy not in ["default", "full"]:
raise ValueError(
"vision_feature_select_strategy should be one of 'default', 'full'."
f"Got: {vision_feature_select_strategy}"
)
self.vision_feature_select_strategy = vision_feature_select_strategy
self.vision_feature_layer = vision_feature_layer
if isinstance(vision_config, dict):
vision_config["model_type"] = (
vision_config["model_type"] if "model_type" in vision_config else "siglip_vision_model"
)
vision_config = CONFIG_MAPPING[vision_config["model_type"]](**vision_config)
elif vision_config is None:
vision_config = CONFIG_MAPPING["siglip_vision_model"](
intermediate_size=4304,
hidden_size=1152,
patch_size=16,
image_size=384,
num_hidden_layers=27,
num_attention_heads=16,
vision_use_head=False
)
self.vision_config = vision_config
if isinstance(projector_config, dict):
projector_config["model_type"] = (
projector_config["model_type"] if "model_type" in projector_config else "mlp2x"
)
projector_config = CONFIG_MAPPING[projector_config["model_type"]](**projector_config)
elif projector_config is None:
projector_config = CONFIG_MAPPING["mlp2x_projector"]()
self.projector_config = projector_config
if isinstance(text_config, dict):
text_config["model_type"] = text_config["model_type"] if "model_type" in text_config else "qwen2"
text_config = CONFIG_MAPPING[text_config["model_type"]](**text_config)
elif text_config is None:
text_config = CONFIG_MAPPING["qwen2"]()
self.text_config = text_config
super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs)
AutoConfig.register(LDPConfig.model_type, LDPConfig)
AutoConfig.register(MLPProjectorConfig.model_type, MLPProjectorConfig)
AutoConfig.register(AX4VLConfig.model_type, AX4VLConfig) |