fix(mge/traced_module): fix some bugs for graph surgery

GitOrigin-RevId: 6328a84cbc8554c847530ce990331145ca82e043

imperative/python/megengine/traced_module/traced_module.py

@@ -122,18 +122,18 @@ def _is_leaf(node):
     return isinstance(node, RawTensor)
 
 
-_enable_node_to_tensor = False
+_enable_graph_surgery_mode = False
 
 
-def _convert_node_flag():
-    return _enable_node_to_tensor
+def _graph_surgery_mode():
+    return _enable_graph_surgery_mode
 
 
-def _set_convert_node_flag(flag: bool = False):
-    global _enable_node_to_tensor
-    pre_flag = _enable_node_to_tensor
-    _enable_node_to_tensor = flag
-    return pre_flag
+def _set_graph_surgery_mode(mode: bool):
+    global _enable_graph_surgery_mode
+    pre_mode = _enable_graph_surgery_mode
+    _enable_graph_surgery_mode = mode
+    return pre_mode
 
 
 def _node_to_tensor(*args, **kwargs):
@@ -145,11 +145,11 @@ def _node_to_tensor(*args, **kwargs):
                 active_module_tracer().current_scope()._add_input(n)
             value = n.value
             if value is None:
-                flag = _set_convert_node_flag(False)
+                flag = _set_graph_surgery_mode(False)
                 unset_module_tracing()
                 value = F.zeros(shape=n._shape, dtype=n._dtype)
                 set_module_tracing()
-                _set_convert_node_flag(flag)
+                _set_graph_surgery_mode(flag)
             orig_n = NodeMixin.get(value, None)
             if orig_n is None or "setitem" not in orig_n._name:
                 NodeMixin.wrap_safe(value, n)
@@ -180,8 +180,9 @@ def _tensor_to_node(tensors):
 
 
 def _wrap_method_to_tensor_node():
-    def _any_method(name):
+    def _any_method(name, func):
         def _any(*args, **kwargs):
+            if is_tracing_module() and _graph_surgery_mode():
                 args, kwargs = _node_to_tensor(*args, **kwargs)
                 attr = getattr(args[0], name)
                 outs = attr
@@ -192,6 +193,13 @@ def _wrap_method_to_tensor_node():
                     return None
                 outs = _tensor_to_node(outs)
                 return outs
+            else:
+                outs = func
+                if callable(func):
+                    outs = func(*args, **kwargs)
+                if isinstance(func, property):
+                    outs = func.__get__(*args, **kwargs)
+            return outs
 
         return _any
 
@@ -199,9 +207,9 @@ def _wrap_method_to_tensor_node():
     for method in get_tensor_wrapable_method():
         patch = PatchedFn(TensorNode, method)
         if type(getattr(Tensor, method)) == property:
-            patch.set_func(property(_any_method(method)))
+            patch.set_func(property(_any_method(method, patch.origin_fn)))
         else:
-            patch.set_func(_any_method(method))
+            patch.set_func(_any_method(method, patch.origin_fn))
         tensor_method_patch.append(patch)
     return tensor_method_patch
 
@@ -209,7 +217,7 @@ def _wrap_method_to_tensor_node():
 def _convert_node_and_tensor(orig_func):
     @functools.wraps(orig_func)
     def _convert(*args, **kwargs):
-        if _convert_node_flag() and is_tracing_module():
+        if is_tracing_module() and _graph_surgery_mode():
             args, kwargs = _node_to_tensor(*args, **kwargs)
             rst = orig_func(*args, **kwargs, method_func=_convert)
             rst = _tensor_to_node(rst)
@@ -224,6 +232,7 @@ def _convert_node_and_tensor(orig_func):
 def _wrap_mnode_getattr(orig_getattr):
     @functools.wraps(orig_getattr)
     def wraped_fn(self, name):
+        if is_tracing_module() and _graph_surgery_mode():
             obj = self.owner
             current_graph = active_module_tracer().current_scope()
             if self.top_graph is not None:
@@ -247,9 +256,12 @@ def _wrap_mnode_getattr(orig_getattr):
                     )
             if isinstance(attr, (NodeMixin, RawTensor)):
                 node = NodeMixin.get(attr)
-        if isinstance(node, ModuleNode):
+            if isinstance(node, ModuleNode) and isinstance(attr, (NodeMixin, Module)):
                 node._owner = weakref.ref(attr)
             return node
+        else:
+            node = object.__getattribute__(self, name)
+        return node
 
     return wraped_fn
 
@@ -257,10 +269,13 @@ def _wrap_mnode_getattr(orig_getattr):
 def _wrap_mnode_call(orig_call):
     @functools.wraps(orig_call)
     def wraped_fn(self, *args, **kwargs):
+        if is_tracing_module() and _graph_surgery_mode():
             obj = self.owner
             if self.top_graph is not None:
                 active_module_tracer().current_scope()._add_input(self)
             rst = obj(*args, **kwargs)
+        else:
+            raise TypeError("'ModuleNode' object is not callable")
         return rst
 
     return wraped_fn
@@ -284,7 +299,7 @@ class _InsertExprs:
         Node._set_next_id(node_id)
         Expr._set_next_id(expr_id)
         set_module_tracing()
-        _set_convert_node_flag(True)
+        _set_graph_surgery_mode(True)
         assert active_module_tracer() is None
         set_active_module_tracer(
             module_tracer(lambda x: _convert_node_and_tensor(_wrapped_function(x)))
@@ -303,20 +318,30 @@ class _InsertExprs:
         if va is not None:
             return False
         active_module_tracer().patcher.__exit__(ty, va, tr)
-        _set_convert_node_flag(False)
 
         while self._tensor_method_patch:
             pf = self._tensor_method_patch.pop()
             pf.set_func(pf.origin_fn)
 
+        # delete ModuleNode.__call__ to avoid entering the
+        # ModuleNode.__init__ method when call a ModuleNode object.
+        delattr(ModuleNode, "__call__")
+
         module = self.graph.inputs[0].owner
 
+        def build_traced_module(
+            module: TracedModuleBuilder, target_module: TracedModule
+        ):
             for k, v in module.__dict__.items():
                 if isinstance(v, TracedModuleBuilder):
-                v = v.build()
-                setattr(module, k, v)
+                    traced_v = v.build()
+                    build_traced_module(v, traced_v)
+                    setattr(target_module, k, traced_v)
+
+        build_traced_module(module, module)
 
         set_symbolic_shape(self.use_sym_shape)
+        _set_graph_surgery_mode(False)
         set_active_module_tracer(None)
         unset_module_tracing()
 
@@ -435,7 +460,7 @@ class NameSpace:
 
     def unassociate_name_with_obj(self, node: Node):
         assert node.name in self.used_names
-        assert self.used_names[node.name] is node
+        # assert self.used_names[node.name] is node
         self._used_names[node.name] = None
 
     @property
@@ -1364,6 +1389,8 @@ class TracedModuleBuilder(NodeMixin):
             for node in self.nodes:
                 node.module_type = mod_type
 
+            return self._mod
+        elif isinstance(self._mod, TracedModule) and _graph_surgery_mode():
             return self._mod
         else:
             is_qat = isinstance(self._mod, QATModule) or (
@@ -1409,6 +1436,10 @@ class TracedModuleBuilder(NodeMixin):
 
     def __call__(self, *args, **kwargs):
         assert isinstance(self._mod, Module)
+        is_graph_surgery_mode = _graph_surgery_mode()
+        if isinstance(self._mod, TracedModule) and is_graph_surgery_mode:
+            _set_graph_surgery_mode(False)
+
         # prepare args and kwargs for inner graph
         if "method_func" in kwargs:
             kwargs.pop("method_func")
@@ -1514,7 +1545,7 @@ class TracedModuleBuilder(NodeMixin):
             )
             rst = type(self._mod).forward(*args, **kwargs)
 
-            if _convert_node_flag():
+            if _graph_surgery_mode():
                 rst = _node_to_tensor(rst)[0][0]
 
             outputs, out_def = tree_flatten(rst, is_leaf=_is_leaf)
@@ -1536,6 +1567,7 @@ class TracedModuleBuilder(NodeMixin):
         callnode.add_outputs(outputs)
         self._argdef_graph_map[callnode.arg_def] = self._body
         self._argdef_outdef_map[callnode.arg_def] = out_def
+        _set_graph_surgery_mode(is_graph_surgery_mode)
         return rst
 
     def __setattr__(self, name, value):
@@ -1556,7 +1588,7 @@ class TracedModuleBuilder(NodeMixin):
                 return active_module_tracer().patcher.wrap_fn(attr)
 
             if isinstance(attr, (List, Dict)):
-                flag = _set_convert_node_flag(False)
+                flag = _set_graph_surgery_mode(False)
                 unset_module_tracing()
                 has_module, m_container = replace_container_with_module_container(attr)
                 if m_container:
@@ -1567,7 +1599,7 @@ class TracedModuleBuilder(NodeMixin):
                         " Module and Non-Module objects."
                     )
                 set_module_tracing()
-                _set_convert_node_flag(flag)
+                _set_graph_surgery_mode(flag)
 
             if isinstance(attr, Module):
                 attr = TracedModuleBuilder(attr)
@@ -1628,20 +1660,25 @@ class _expr_iter:
         self._visited_graph = set()
 
     def __iter__(self):
-        for inp_node in self.graph.inputs:
+        yield from self._gen_expr(self.graph)
+
+    def _gen_expr(self, graph: InternalGraph):
+        visit_inp = set()
+        for inp_node in graph.inputs:
+            if inp_node not in visit_inp:
                 yield inp_node.expr
-        for expr in self.graph._exprs:
-            if isinstance(expr, CallMethod) and isinstance(expr.inputs[0], ModuleNode):
+            visit_inp.add(inp_node)
+
+        for expr in graph._exprs:
             yield expr
             if (
                 self.recursive
+                and hasattr(expr, "graph")
                 and expr.graph is not None
                 and id(expr.graph) not in self._visited_graph
             ):
-                    yield from expr.graph.exprs(self.recursive)
                 self._visited_graph.add(id(expr.graph))
-            else:
-                yield expr
+                yield from self._gen_expr(expr.graph)
 
 
 class _node_iter:

imperative/python/test/unit/traced_module/test_modification.py

@@ -15,7 +15,7 @@ import megengine.functional as F
 import megengine.module as M
 import megengine.module.qat as qat
 from megengine.module.identity import Identity
-from megengine.traced_module import trace_module
+from megengine.traced_module import TracedModule, trace_module
 from megengine.traced_module.expr import CallFunction, CallMethod, Expr, GetAttr, Input
 from megengine.traced_module.node import ModuleNode, Node, TensorNode
 
@@ -182,7 +182,6 @@ def test_insert_module():
     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)
@@ -199,6 +198,32 @@ def test_insert_module():
         if isinstance(n, TensorNode):
             assert n.value is None
 
+    traced_module, x, expect = _init_module()
+    setattr(traced_module.block0, "neg", Neg(name=None))
+    graph = traced_module.graph
+    self = graph.inputs[0]
+    out_node = graph.outputs[0]
+    with graph.insert_exprs():
+        neg_out = self.block0.neg(out_node)
+    graph.replace_node({out_node: neg_out})
+    graph.compile()
+    np.testing.assert_allclose(expect, -traced_module(x), atol=1e-6)
+    assert isinstance(traced_module.block0.neg, TracedModule)
+    assert traced_module.block0.neg.graph is not None
+
+    setattr(traced_module.block0.neg, "neg", Neg(name=None))
+    setattr(traced_module.block0.neg.neg, "relu", M.ReLU())
+    out_node = graph.outputs[0]
+    with graph.insert_exprs():
+        neg_out = self.block0.neg.neg(out_node)
+        neg_out = self.block0.neg.neg(neg_out)
+        relu_out = self.block0.neg.neg.relu(neg_out)
+    graph.replace_node({out_node: relu_out})
+    graph.compile()
+    np.testing.assert_allclose(F.relu(-expect), traced_module(x), atol=1e-6)
+    assert isinstance(traced_module.block0.neg.neg, TracedModule)
+    assert traced_module.block0.neg.neg.graph is not None
+
 
 def test_insert_qat_module():
     class concat(qat.Concat):