fix for existing test

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>

Author: achartier

tensorrt_llm/_torch/pyexecutor/_util.py

@@ -1342,8 +1342,10 @@ def _infer_shared_expert_size_from_adapter(adapter_dir: str) -> int:
 
     try:
         from tensorrt_llm.lora_manager import get_model_path, load_state_dict
-        adapter_weights = load_state_dict(
-            get_model_path(adapter_dir, "adapter_model"))
+        model_path = get_model_path(adapter_dir, "adapter_model")
+        if model_path is None:
+            return 0
+        adapter_weights = load_state_dict(model_path)
         if adapter_weights is None:
             return 0
         for key, tensor in adapter_weights.items():
@@ -1356,8 +1358,7 @@ def _infer_shared_expert_size_from_adapter(adapter_dir: str) -> int:
                     return tensor.shape[1] if tensor.shape[
                         0] == rank else tensor.shape[0]
     except Exception as e:
-        logger.debug(f"Failed to infer shared expert size from adapter: {e}",
-                     exc_info=True)
+        logger.debug(f"Failed to infer shared expert size from adapter: {e}")
     return 0