Dynamically rename wrapper functions to avoid naming conflicts

Author: kevinwuTT

torch_ttnn/generate_op_accuracy_tests.py

@@ -11,6 +11,7 @@
 from tests.utils import assert_with_pcc, comp_pcc, construct_pcc_assert_message
 
 wrapper_funcs = set()
+rename_wrappers = set()
 
 
 # Returns a list of inputs to the first graph of model
@@ -89,6 +90,15 @@ def node_to_python_code(node):
     ):
         lines = inspect.getsource(node.target)
         wrapper_funcs.add(lines)
+        # rename functions to avoid naming conflict
+        func_name = node.target.__name__
+        rename_func = f"""
+ref = globals()["{func_name}"]
+globals()["{func_name}_wrapper"] = ref
+del globals()["{func_name}"]
+"""
+        rename_wrappers.add(rename_func)
+        opname += "_wrapper"
 
     # find a better way to use registered custom builtins to replace TTNN constants
     statement = f"{node} = {opname}({node_args}, {format_dict(node.kwargs)})"
@@ -266,6 +276,9 @@ def generate_op_accuracy_tests(model_name, aten_fx_graphs, ttnn_fx_graphs, all_i
     # this needs to be done after the graph_code above because wrapper functions need to be resolved at that stage
     wrapper_code = list(wrapper_funcs)
 
+    # this needs to be done after defining wrapper functions
+    rename_wrapper_code = list(rename_wrappers)
+
     # test_accuracy helper code
     test_accuracy_code = """
 def test_accuracy(expected, actual):
@@ -294,7 +307,15 @@ def test_accuracy(expected, actual):
     forward(*inputs)
 """
 
-    full_code = import_code + pcc_funcs + wrapper_code + [test_accuracy_code] + test_accuracy_graph_codes + [main_code]
+    full_code = (
+        import_code
+        + pcc_funcs
+        + wrapper_code
+        + rename_wrapper_code
+        + [test_accuracy_code]
+        + test_accuracy_graph_codes
+        + [main_code]
+    )
     full_text = "\n".join(full_code)
 
     with open(directory / Path(f"{model_name}_code.py"), "w") as text_file: