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

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

vllm/model_executor/models/medusa.py

@@ -1,4 +1,4 @@
-from typing import Iterable, List, Optional, Tuple
+from typing import Iterable, List, Optional, Set, Tuple
 
 import torch
 import torch.nn as nn
@@ -156,8 +156,10 @@ class Medusa(nn.Module):
             sampling_metadata=sampling_metadata,
         )
 
-    def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
+    def load_weights(self, weights: Iterable[Tuple[str,
+                                                   torch.Tensor]]) -> Set[str]:
         params_dict = dict(self.named_parameters())
+        loaded_params: Set[str] = set()
 
         weights_map = {}
 
@@ -181,9 +183,12 @@ class Medusa(nn.Module):
             weight_loader = getattr(param, "weight_loader",
                                     default_weight_loader)
             weight_loader(param, loaded_weight)
+            loaded_params.add(name)
 
         if self.token_map is not None:
             self.token_map.to(device=self.lm_heads[0].weight.device)
 
         assert (self.truncated_vocab_size
                 == self.orig_vocab_size) or (self.token_map is not None)
+
+        return loaded_params