diff --git a/imperative/python/megengine/traced_module/traced_module.py b/imperative/python/megengine/traced_module/traced_module.py
index 7e1a57f7a626c0679d6ebba9975a66b55751b362..591b60d3f66c1270922903a84f6287e45ee7cbf4 100644
--- a/imperative/python/megengine/traced_module/traced_module.py
+++ b/imperative/python/megengine/traced_module/traced_module.py
@@ -293,19 +293,10 @@ class _InsertExprs:
 
         module = self.graph.inputs[0].owner
 
-        for mod, parent in module.modules(with_parent=True):
-            name = mod._name
-            if isinstance(mod, TracedModuleBuilder):
-                mod = mod.build()
-                if hasattr(mod, "argdef_graph_map"):
-                    for g in mod.argdef_graph_map.values():
-                        for n in g.nodes(False):
-                            if isinstance(n, TensorNode):
-                                n.value = None
-                setattr(parent, name, mod)
-
-        for node in self.global_scope.nodes(False):
-            node.value = None
+        for k, v in module.__dict__.items():
+            if isinstance(v, TracedModuleBuilder):
+                v = v.build()
+                setattr(module, k, v)
 
         extra_inp_nodes = set(self.global_scope.inputs)
         max_inp_expr_idx = -1
@@ -334,6 +325,9 @@ class _InsertExprs:
         self.graph._namespace.merge(self.global_scope._namespace)
         self.root_graph._total_ids = (Node._get_next_id(), Expr._get_next_id())
         self.root_graph.inputs[0].owner._update_ref()
+        for node in self.root_graph.nodes():
+            if isinstance(node, TensorNode):
+                node.value = None
         return True
 
 
@@ -1519,6 +1513,7 @@ class TracedModuleBuilder(NodeMixin):
                 return active_module_tracer().patcher.wrap_fn(attr)
 
             if isinstance(attr, (List, Dict)):
+                flag = _set_convert_node_flag(False)
                 unset_module_tracing()
                 has_module, m_container = replace_container_with_module_container(attr)
                 if m_container:
@@ -1529,6 +1524,7 @@ class TracedModuleBuilder(NodeMixin):
                         " Module and Non-Module objects."
                     )
                 set_module_tracing()
+                _set_convert_node_flag(flag)
 
             if isinstance(attr, Module):
                 attr = TracedModuleBuilder(attr)
diff --git a/imperative/python/test/unit/traced_module/test_modification.py b/imperative/python/test/unit/traced_module/test_modification.py
index 9ac53730674e99e3f16e318c56b7151c16f7b8fd..0fed2217f299c6e13942ec7106da4ae7892bc5f3 100644
--- a/imperative/python/test/unit/traced_module/test_modification.py
+++ b/imperative/python/test/unit/traced_module/test_modification.py
@@ -16,7 +16,7 @@ import megengine.module as M
 from megengine.module.identity import Identity
 from megengine.traced_module import trace_module
 from megengine.traced_module.expr import CallFunction, CallMethod, Expr, GetAttr, Input
-from megengine.traced_module.node import ModuleNode, Node
+from megengine.traced_module.node import ModuleNode, Node, TensorNode
 
 
 class IdentityMod(M.Module):
@@ -159,21 +159,44 @@ def test_insert():
 
 def test_insert_module():
     class Neg(M.Module):
+        def __init__(self, name):
+            super().__init__(name)
+            self.identity = M.Identity()
+            self.identity_list = [M.Identity(), M.Identity()]
+            self.identity_dict = {"0": M.Identity(), "1": M.Identity()}
+            self.param = F.zeros((1,))
+
         def forward(self, x):
-            return F.neg(x)
+            x = self.identity(x)
+            for m in self.identity_dict:
+                x = self.identity_dict[m](x)
+            for m in self.identity_list:
+                x = m(x)
+            return F.neg(x) + self.param
 
     traced_module, x, expect = _init_block()
     graph = traced_module.graph
     relu_out = graph.get_function_by_type(F.relu).as_unique().outputs[0]
     self = graph.inputs[0]
-    setattr(traced_module, "neg", Neg())
+    setattr(traced_module, "neg", Neg(name="neg"))
+    setattr(traced_module, "neg2", Neg(name="neg"))
+    setattr(traced_module, "param", F.zeros((1,)))
+
     with graph.insert_exprs():
         neg_out = self.neg(relu_out)
+        neg_out = self.neg2(relu_out)
+        neg_out = neg_out + self.param
     graph.replace_node({relu_out: neg_out})
     graph.compile()
+
     np.testing.assert_allclose(expect - 1, 1 - traced_module(x), atol=1e-6)
     assert traced_module.neg.graph is not None
-    assert len(traced_module.neg.graph._exprs) == 1
+    assert traced_module.neg2.graph is not None
+    assert traced_module.neg2.param is not None
+    assert len(traced_module.neg.graph._exprs) == 13
+    for n in traced_module.graph.nodes():
+        if isinstance(n, TensorNode):
+            assert n.value is None
 
 
 def test_add_input_and_output():