102 lines
3.5 KiB
Python
102 lines
3.5 KiB
Python
# coding=utf-8
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# Copyright 2024 HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from transformers.configuration_utils import PretrainedConfig
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from transformers.utils import (
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logging,
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)
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logger = logging.get_logger(__name__)
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class RConfig(PretrainedConfig):
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model_type = "R"
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attribute_map = {
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"image_token_id": "image_token_index",
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}
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# sub_configs = {"text_config": AutoConfig, "vision_config": AutoConfig}
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def __init__(
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self,
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vision_config=None,
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text_config=None,
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image_token_index=151646,
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projector_hidden_act="gelu",
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vision_feature_select_strategy="full",
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vision_feature_layer=-1,
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vision_aspect_ratio= "anyres",
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image_grid_pinpoints=None,
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tie_word_embeddings=False,
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multimodal_projector_bias=True,
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max_position_embeddings=32768,
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**kwargs,
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):
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from transformers.models.auto import CONFIG_MAPPING, AutoConfig # for vllm
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self.image_token_index = image_token_index
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self.projector_hidden_act = projector_hidden_act
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self.multimodal_projector_bias = multimodal_projector_bias
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if vision_feature_select_strategy not in ["default", "full"]:
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raise ValueError(
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"vision_feature_select_strategy should be one of 'default', 'full'."
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f"Got: {vision_feature_select_strategy}"
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)
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self.vision_feature_select_strategy = vision_feature_select_strategy
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self.vision_feature_layer = vision_feature_layer
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self.vision_aspect_ratio = vision_aspect_ratio
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image_grid_pinpoints = (
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image_grid_pinpoints
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if image_grid_pinpoints is not None
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else [[384, 768], [768, 384], [768, 768], [1152, 384], [384, 1152]]
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)
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self.image_grid_pinpoints = image_grid_pinpoints
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if isinstance(vision_config, dict):
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vision_config["model_type"] = (
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vision_config["model_type"] if "model_type" in vision_config else "siglip_vision_model"
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)
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vision_config = CONFIG_MAPPING[vision_config["model_type"]](**vision_config)
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elif vision_config is None:
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vision_config = CONFIG_MAPPING["siglip_vision_model"](
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hidden_size=1152,
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intermediate_size=4304,
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patch_size=14,
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image_size=384,
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num_hidden_layers=26,
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num_attention_heads=14,
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vision_use_head=False,
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)
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self.vision_config = vision_config
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if isinstance(text_config, dict):
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text_config["model_type"] = text_config["model_type"] if "model_type" in text_config else "qwen2"
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text_config = CONFIG_MAPPING[text_config["model_type"]](**text_config)
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elif text_config is None:
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text_config = CONFIG_MAPPING["qwen2"]()
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self.text_config = text_config
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super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs)
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__all__ = ["RConfig"]
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