fix: Fix null inputs

py/torch_tensorrt/dynamo/_compiler.py

@@ -263,8 +263,10 @@ def cross_compile_for_windows(
             "When enable_weight_streaming is enabled, it requires use_explicit_typing to be set to True"
         )
     # Aliasing inputs to arg_inputs for better understanding
-    if not arg_inputs and not inputs:
-        raise AssertionError("'arg_inputs' and 'inputs' should not both be None.")
+    if not arg_inputs and not kwarg_inputs and not inputs:
+        raise AssertionError(
+            "'arg_inputs', 'kwarg_inputs' and 'inputs' should not all be None."
+        )
 
     elif arg_inputs and inputs:
         raise AssertionError(
@@ -582,8 +584,10 @@ def compile(
             "When enable_weight_streaming is enabled, it requires use_explicit_typing to be set to True"
         )
     # Aliasing inputs to arg_inputs for better understanding
-    if not arg_inputs and not inputs:
-        raise AssertionError("'arg_inputs' and 'inputs' should not both be None.")
+    if not arg_inputs and not kwarg_inputs and not inputs:
+        raise AssertionError(
+            "'arg_inputs', 'kwarg_inputs' and 'inputs' should not all be None."
+        )
 
     elif arg_inputs and inputs:
         raise AssertionError(
@@ -1069,8 +1073,10 @@ def convert_exported_program_to_serialized_trt_engine(
             "TensorRT's `REFIT` flag is not compatible with `enable_weight_streaming=True` for now. This issue was reported on https://github.com/pytorch/TensorRT/issues/3305"
         )
 
-    if arg_inputs is None and inputs is None:
-        raise AssertionError("'arg_inputs' and 'inputs' should not both be None.")
+    if not arg_inputs and not kwarg_inputs and not inputs:
+        raise AssertionError(
+            "'arg_inputs', 'kwarg_inputs' and 'inputs' should not all be None."
+        )
 
     elif arg_inputs is not None and inputs is not None:
         raise AssertionError(