|
|
""" |
|
|
# Copyright 2025 The HuggingFace Inc. team. |
|
|
# |
|
|
# Licensed under the Apache License, Version 2.0 (the "License"); |
|
|
# you may not use this file except in compliance with the License. |
|
|
# You may obtain a copy of the License at |
|
|
# |
|
|
# http://www.apache.org/licenses/LICENSE-2.0 |
|
|
# |
|
|
# Unless required by applicable law or agreed to in writing, software |
|
|
# distributed under the License is distributed on an "AS IS" BASIS, |
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
|
|
# See the License for the specific language governing permissions and |
|
|
# limitations under the License. |
|
|
|
|
|
Configuration for ColQwen3, adapted to mirror the ColQwen2 structure. |
|
|
""" |
|
|
|
|
|
from copy import deepcopy |
|
|
from typing import Any |
|
|
|
|
|
from transformers.configuration_utils import PretrainedConfig |
|
|
from transformers.models.auto import CONFIG_MAPPING |
|
|
from transformers.models.qwen3_vl.configuration_qwen3_vl import Qwen3VLTextConfig, Qwen3VLVisionConfig |
|
|
from transformers.utils import logging |
|
|
|
|
|
|
|
|
logger = logging.get_logger(__name__) |
|
|
|
|
|
|
|
|
class ColQwen3Config(PretrainedConfig): |
|
|
"""Configuration for ColQwen3 retrieval model.""" |
|
|
|
|
|
model_type = "colqwen3" |
|
|
sub_configs: dict[str, Any] = {"vision_config": Qwen3VLVisionConfig, "text_config": Qwen3VLTextConfig} |
|
|
|
|
|
def __init__( |
|
|
self, |
|
|
vision_config: Any = None, |
|
|
text_config: Any = None, |
|
|
embed_dim: int = 320, |
|
|
padding_side: str = "left", |
|
|
initializer_range: float = 0.02, |
|
|
dtype: str | None = None, |
|
|
**kwargs, |
|
|
): |
|
|
if vision_config is None or text_config is None: |
|
|
base_vlm_config = CONFIG_MAPPING["qwen3_vl"]() |
|
|
if vision_config is None: |
|
|
vision_config = deepcopy(base_vlm_config.vision_config) |
|
|
logger.info("`vision_config` is `None`. Initializing with the default `Qwen3VLVisionConfig`.") |
|
|
if text_config is None: |
|
|
text_config = deepcopy(base_vlm_config.text_config) |
|
|
logger.info("`text_config` is `None`. Initializing with the default `Qwen3VLTextConfig`.") |
|
|
|
|
|
if isinstance(vision_config, dict): |
|
|
vision_config = Qwen3VLVisionConfig(**deepcopy(vision_config)) |
|
|
elif not isinstance(vision_config, PretrainedConfig): |
|
|
raise TypeError( |
|
|
f"Invalid type for `vision_config`. Expected `PretrainedConfig`, `dict`, or `None`, got {type(vision_config)}." |
|
|
) |
|
|
|
|
|
if isinstance(text_config, dict): |
|
|
text_config = Qwen3VLTextConfig(**deepcopy(text_config)) |
|
|
elif not isinstance(text_config, PretrainedConfig): |
|
|
raise TypeError( |
|
|
f"Invalid type for `text_config`. Expected `PretrainedConfig`, `dict`, or `None`, got {type(text_config)}." |
|
|
) |
|
|
|
|
|
if embed_dim <= 0: |
|
|
raise ValueError(f"`embed_dim` must be positive, got {embed_dim}.") |
|
|
|
|
|
super().__init__(**kwargs) |
|
|
self.vision_config = vision_config |
|
|
self.text_config = text_config |
|
|
self.embed_dim = embed_dim |
|
|
self.padding_side = padding_side |
|
|
self.initializer_range = initializer_range |
|
|
|
|
|
self.dtype = dtype or getattr(self, "dtype", None) |
|
|
|
|
|
@classmethod |
|
|
def from_base_config(cls, base_config: PretrainedConfig) -> "ColQwen3Config": |
|
|
"""Upgrade a base Qwen3VLConfig-like config into ColQwen3Config.""" |
|
|
if isinstance(base_config, dict): |
|
|
data = dict(base_config) |
|
|
else: |
|
|
data = base_config.to_dict() |
|
|
|
|
|
vision_cfg = data.get("vision_config") |
|
|
if isinstance(vision_cfg, dict): |
|
|
data["vision_config"] = Qwen3VLVisionConfig.from_dict(vision_cfg) |
|
|
|
|
|
text_cfg = data.get("text_config") |
|
|
if isinstance(text_cfg, dict): |
|
|
data["text_config"] = Qwen3VLTextConfig.from_dict(text_cfg) |
|
|
|
|
|
data.setdefault("model_type", cls.model_type) |
|
|
if hasattr(base_config, "dtype"): |
|
|
data.setdefault("dtype", getattr(base_config, "dtype")) |
|
|
elif hasattr(base_config, "torch_dtype") and base_config.torch_dtype is not None: |
|
|
data.setdefault("dtype", str(base_config.torch_dtype)) |
|
|
|
|
|
return cls.from_dict(data) |
|
|
|
|
|
def get_text_config(self, *args, **kwargs) -> PretrainedConfig: |
|
|
return self.text_config |
|
|
|
|
|
|
|
|
DEFAULT_CONFIG = ColQwen3Config() |
|
|
|
|
|
__all__ = ["ColQwen3Config", "DEFAULT_CONFIG"] |
|
|
|
