review fixes

Author: akhilg-nv

tripy/nvtripy/backend/api/compile.py

@@ -240,7 +240,7 @@ def process_arg_and_flag(top_arg_name, name, arg, steps):
         return arg, False
 
     def process_arg(name, arg):
-        processed, has_input = process_arg_and_flag(name, name, arg, ())
+        processed, has_input = process_arg_and_flag(name, name, arg, tuple())
         if has_input:
             input_names.add(name)
         return processed

tripy/nvtripy/backend/api/executable.py

@@ -84,9 +84,9 @@ def __init__(
         name_to_index = {name: idx for idx, name in enumerate(self._arg_names)}
 
         def make_accessor(arg_index: int, steps: Tuple[Union[str, int], ...]):
-            def accessor(inputs, idx=arg_index, stps=steps):
-                v = inputs[idx]
-                for s in stps:
+            def accessor(inputs):
+                v = inputs[arg_index]
+                for s in steps:
                     v = v[s]
                 return v
 
@@ -220,12 +220,13 @@ def add(a, b):
         for name in input_info_names:
             try:
                 flattened_tensors.append(self._accessor_map[name](input_tensors))
-            except Exception:
+            except Exception as exc:
                 raise_error(
                     f"Missing runtime tensor for input `{name}`.",
                     [
                         "Ensure your provided collections include tensors for all compiled inputs.",
                         f"Expected inputs: {input_info_names}",
+                        f"Note: Error was:\n{exc}",
                     ],
                 )
         expected_devices = ["gpu" if isinstance(info, InputInfo) else "cpu" for info in self.input_infos.values()]