fix: Input stream number

Author: gs-olive

WORKSPACE

@@ -101,8 +101,6 @@ http_archive(
     ],
 )
 
-
-
 ####################################################################################
 # Locally installed dependencies (use in cases of custom dependencies or aarch64)
 ####################################################################################

py/torch_tensorrt/dynamo/runtime/_PythonTorchTensorRTModule.py

@@ -218,11 +218,8 @@ def forward(self, *inputs: torch.Tensor) -> torch.Tensor | Tuple[torch.Tensor, .
                     if cudagraphs_enabled:
                         # If cudagraphs is enabled, this memory is reserved for future cudagraph runs
                         # Clone is required to avoid re-using user-provided GPU memory
-                        contiguous_inputs = [
-                            i.contiguous().clone() for i in contiguous_inputs
-                        ]
-                    else:
-                        contiguous_inputs = [i.contiguous() for i in contiguous_inputs]
+                        contiguous_inputs = [i.clone() for i in contiguous_inputs]
+
                     bindings = []
                     for i, input_name in enumerate(self.input_names):
                         if not contiguous_inputs[i].is_cuda:
@@ -317,7 +314,7 @@ def forward(self, *inputs: torch.Tensor) -> torch.Tensor | Tuple[torch.Tensor, .
             ):
 
                 if not cudagraphs_enabled:
-                    self.context.execute_async_v3(self.active_stream)
+                    self.context.execute_async_v3(self.active_stream.cuda_stream)  # type: ignore
 
                 elif need_cudagraphs_record:
                     self.input_buffers = list(contiguous_inputs)