删除遗留代码

Author: shell-nlp

gpt_server/__init__.py

@@ -1,31 +0,0 @@
-import os
-import sys
-import importlib.util
-from loguru import logger
-
-
-def get_module_path(module_name):
-    spec = importlib.util.find_spec(module_name)
-    if spec is None:
-        return f"Module '{module_name}' not found."
-    return spec.origin
-
-
-def check_lmdeploy_lib():
-    if os.path.exists(os.path.join(lmdeploy_path, "lib")):
-        return True
-    return False
-
-
-# 示例
-module_name = "lmdeploy"
-lmdeploy_path = os.path.dirname(get_module_path(module_name))
-if not check_lmdeploy_lib():
-    logger.warning("不存在lmdeploy的lib文件目录,系统将会自动下载！")
-    cmd = "pip install --force-reinstall lmdeploy==0.6.2 --no-deps"
-    logger.info(f"正在执行命令：{cmd}")
-    os.system(cmd)
-    logger.info("安装成功，请重新启动服务！")
-    sys.exit()
-else:
-    pass

gpt_server/model_backend/__init__.py

@@ -1,26 +0,0 @@
-from lmdeploy.version import __version__
-
-if __version__ == "0.7.3":
-    from typing import Optional
-    from lmdeploy.model import MODELS, InternLM2Chat7B
-
-    @MODELS.register_module(name="internvl2_5", force=True)
-    class InternVL2_5(InternLM2Chat7B):
-
-        def __init__(
-            self,
-            meta_instruction="你是书生·万象，英文名是InternVL，是由上海人工智能实验室、清华大学及多家合作单位联合开发的多模态大语言模型。",  # noqa
-            **kwargs,
-        ):
-            super().__init__(meta_instruction=meta_instruction, **kwargs)
-
-        @classmethod
-        def match(cls, model_path: str) -> Optional[str]:
-            """Return the model_name that was registered to MODELS.
-
-            Args:
-                model_path (str): the model path used for matching.
-            """
-            path = model_path.lower()
-            if "internvl2.5" in path or "internvl2_5" in path or "internvl3" in path:
-                return "internvl2_5"