chore: Proper logging message and rebase

Author: keehyuna

py/torch_tensorrt/runtime/_cudagraphs.py

@@ -1,5 +1,5 @@
 import logging
-from typing import Any
+from typing import Any, Union
 
 import torch
 import torch_tensorrt
@@ -88,17 +88,15 @@ def __enter__(self) -> torch.nn.Module:
                 torch.ops.tensorrt.set_cudagraphs_mode(_PY_RT_CUDAGRAPHS)
 
             logger.debug(
-                f"{num_torch_module} torch modules are in subgraphs. Using wrapper module for cuda graphs"
+                "Found pytorch subgraphs in module, wrapping module in CudaGraphsTorchTensorRTModule"
             )
             return CudaGraphsTorchTensorRTModule(self.compiled_module)
         else:
             if num_trt_module > 0:
-                logger.debug(
-                    "There is no graph breaks. Using original module for cuda graphs"
-                )
+                logger.debug("No graph breaks detected, using runtime cudagraphs mode")
             else:
-                logger.warning(
-                    "Please consider dynamo if there is graph breaks. Using original module for cuda graphs"
+                logger.debug(
+                    "Please consider dynamo if there is graph breaks. Using runtime cudagraphs mode"
                 )
             # Enable cudagraphs for TRT submodule
             set_cudagraphs_mode(True)
@@ -110,6 +108,6 @@ def __exit__(self, *args: Any) -> None:
 
 
 def enable_cudagraphs(
-    compiled_module: torch.nn.Module,
+    compiled_module: Union[torch.fx.GraphModule, torch.nn.Module],
 ) -> _CudagraphsContextManager:
     return _CudagraphsContextManager(compiled_module)

py/torch_tensorrt/runtime/_weight_streaming.py

@@ -1,5 +1,5 @@
 import logging
-from typing import Any
+from typing import Any, Union
 
 import torch
 from torch_tensorrt.dynamo.runtime import PythonTorchTensorRTModule, TorchTensorRTModule
@@ -16,7 +16,7 @@ class _WeightStreamingContextManager(object):
     """
 
     def __init__(
-        self, module: torch.fx.GraphModule | CudaGraphsTorchTensorRTModule
+        self, module: Union[torch.fx.GraphModule, CudaGraphsTorchTensorRTModule]
     ) -> None:
         rt_mods = []
         self.current_device_budget = 0