[Misc] Remove `warn_for_unimplemented_methods` (#28613)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

vllm/utils/__init__.py

 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
-import inspect
 import uuid
 import warnings
-from functools import wraps
 from typing import Any, TypeVar
 
 import torch
@@ -69,49 +67,6 @@ def random_uuid() -> str:
     return str(uuid.uuid4().hex)
 
 
-def warn_for_unimplemented_methods(cls: type[T]) -> type[T]:
-    """
-    A replacement for `abc.ABC`.
-    When we use `abc.ABC`, subclasses will fail to instantiate
-    if they do not implement all abstract methods.
-    Here, we only require `raise NotImplementedError` in the
-    base class, and log a warning if the method is not implemented
-    in the subclass.
-    """
-
-    original_init = cls.__init__
-
-    def find_unimplemented_methods(self: object):
-        unimplemented_methods = []
-        for attr_name in dir(self):
-            # bypass inner method
-            if attr_name.startswith("_"):
-                continue
-
-            try:
-                attr = getattr(self, attr_name)
-                # get the func of callable method
-                if callable(attr):
-                    attr_func = attr.__func__
-            except AttributeError:
-                continue
-            src = inspect.getsource(attr_func)
-            if "NotImplementedError" in src:
-                unimplemented_methods.append(attr_name)
-        if unimplemented_methods:
-            method_names = ",".join(unimplemented_methods)
-            msg = f"Methods {method_names} not implemented in {self}"
-            logger.debug(msg)
-
-    @wraps(original_init)
-    def wrapped_init(self, *args, **kwargs) -> None:
-        original_init(self, *args, **kwargs)
-        find_unimplemented_methods(self)
-
-    type.__setattr__(cls, "__init__", wrapped_init)
-    return cls
-
-
 def length_from_prompt_token_ids_or_embeds(
     prompt_token_ids: list[int] | None,
     prompt_embeds: torch.Tensor | None,

vllm/v1/worker/worker_base.py

@@ -13,7 +13,6 @@ from vllm.logger import init_logger
 from vllm.lora.request import LoRARequest
 from vllm.multimodal import MULTIMODAL_REGISTRY
 from vllm.multimodal.cache import worker_receiver_cache_from_config
-from vllm.utils import warn_for_unimplemented_methods
 from vllm.utils.import_utils import resolve_obj_by_qualname
 from vllm.utils.system_utils import update_environment_variables
 from vllm.v1.kv_cache_interface import KVCacheSpec
@@ -33,7 +32,6 @@ logger = init_logger(__name__)
 _R = TypeVar("_R")
 
 
-@warn_for_unimplemented_methods
 class WorkerBase:
     """Worker interface that allows vLLM to cleanly separate implementations for
     different hardware. Also abstracts control plane communication, e.g., to