[None][fix] Fix two tuning cache miss issues.

tensorrt_llm/_torch/autotuner.py

@@ -511,6 +511,11 @@ def _deserialize_cache_from_json(
         cache = {}
         cache_data = serializable_cache["cache_data"]
 
+        def lists_to_tuples(obj):
+            if isinstance(obj, list):
+                return tuple(lists_to_tuples(x) for x in obj)
+            return obj
+
         for key_str, value in cache_data.items():
             # Reconstruct the tuple key safely
             try:
@@ -521,7 +526,7 @@ def _deserialize_cache_from_json(
                 continue
 
             runner_id = value["runner_id"]
-            tactic = value["tactic"]
+            tactic = lists_to_tuples(value["tactic"])
             min_time = value["min_time"]
 
             cache[key] = (runner_id, tactic, min_time)

tensorrt_llm/_torch/custom_ops/torch_custom_ops.py

@@ -486,10 +486,10 @@ def __init__(
         self.cublaslt_runner = CublasLtFP4GemmRunner.runner_dict[instance_key]
 
     def unique_id(self):
-        return hash((
+        return (
             self.to_userbuffers,
             self.output_dtype,
-        ))
+        )
 
     def get_valid_tactics(self, inputs: List[torch.Tensor],
                           profile: OptimizationProfile, **kwargs) -> List[int]: