changing the setting_to_be_engine_invariant from tuple to set (#3984)

Author: apbose

py/torch_tensorrt/dynamo/_engine_cache.py

@@ -88,7 +88,8 @@ def canonicalize_graph(graph: torch.fx.Graph) -> str:
         input_specs_hash = sha256_hash(input_specs_data)
 
         invariant_engine_specs = [
-            str(getattr(settings, field)) for field in _SETTINGS_TO_BE_ENGINE_INVARIANT
+            str(getattr(settings, field))
+            for field in sorted(_SETTINGS_TO_BE_ENGINE_INVARIANT)
         ]
         with io.BytesIO() as stream:
             engine_specs_data = pickle.dumps(invariant_engine_specs)

py/torch_tensorrt/dynamo/_settings.py

@@ -191,7 +191,7 @@ def __setstate__(self, state: dict[str, Any]) -> None:
 
 
 # If any of the following setting is changed, the engine should be rebuilt.
-_SETTINGS_TO_BE_ENGINE_INVARIANT = (
+_SETTINGS_TO_BE_ENGINE_INVARIANT = {
     "enabled_precisions",
     "max_aux_streams",
     "version_compatible",
@@ -212,7 +212,7 @@ def __setstate__(self, state: dict[str, Any]) -> None:
     "autocast_max_output_threshold",
     "autocast_max_depth_of_reduction",
     "autocast_calibration_dataloader",
-)
+}
 
 
 if not hasattr(trt.SerializationFlag, "INCLUDE_REFIT"):  # for TensorRT < 10.14