[Misc] Add uninitialized params tracking for AutoWeightsLoader (#10327)

Signed-off-by: Isotr0py <2037008807@qq.com>

vllm/model_executor/models/qwen.py

@@ -8,7 +8,7 @@ import math
 import re
 from functools import partial
 from typing import (Any, Callable, Dict, Iterable, List, Literal, Mapping,
-                    Optional, Tuple, TypedDict, Union)
+                    Optional, Set, Tuple, TypedDict, Union)
 
 import numpy as np
 import torch
@@ -964,13 +964,15 @@ class QWenBaseModel(nn.Module, SupportsMultiModal, SupportsPP, SupportsLoRA):
         next_tokens = self.sampler(logits, sampling_metadata)
         return next_tokens
 
-    def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
+    def load_weights(self, weights: Iterable[Tuple[str,
+                                                   torch.Tensor]]) -> Set[str]:
         stacked_params_mapping = [
             # (param_name, shard_name, shard_id)
             ("gate_up_proj", "w2", 0),
             ("gate_up_proj", "w1", 1),
         ]
         params_dict = dict(self.named_parameters())
+        loaded_params: Set[str] = set()
         for name, loaded_weight in weights:
             if "rotary_emb.inv_freq" in name:
                 continue
@@ -999,6 +1001,8 @@ class QWenBaseModel(nn.Module, SupportsMultiModal, SupportsPP, SupportsLoRA):
                 weight_loader = getattr(param, "weight_loader",
                                         default_weight_loader)
                 weight_loader(param, loaded_weight)
+            loaded_params.add(name)
+        return loaded_params
 
 
 class QWenLLM(QWenBaseModel):