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

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

vllm/model_executor/models/opt.py

@@ -16,7 +16,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Inference-only OPT model compatible with HuggingFace weights."""
-from typing import Iterable, List, Optional, Tuple, Union
+from typing import Iterable, List, Optional, Set, Tuple, Union
 
 import torch
 from torch import nn
@@ -394,7 +394,8 @@ class OPTForCausalLM(nn.Module, SupportsPP):
         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)
             ("qkv_proj", "q_proj", "q"),
@@ -402,6 +403,7 @@ class OPTForCausalLM(nn.Module, SupportsPP):
             ("qkv_proj", "v_proj", "v"),
         ]
         params_dict = dict(self.named_parameters(remove_duplicate=False))
+        loaded_params: Set[str] = set()
         for name, loaded_weight in weights:
             if "lm_head.weight" in name and self.config.tie_word_embeddings:
                 continue
@@ -431,3 +433,5 @@ class OPTForCausalLM(nn.Module, SupportsPP):
                 weight_loader = getattr(param, "weight_loader",
                                         default_weight_loader)
                 weight_loader(param, loaded_weight)
+            loaded_params.add(name)
+        return loaded_params