Fea/nn graph/graph name (#5413)

* graph api

* add graph dummy test

* add test

* add recursive module mode

* graph.build test pass

* add detail check on graph inner node

* support config and train

* add repr for debug

* test buffer

* test buffer add

* refine test

* add comment

* refine test

* refactor Node to Block

* add named_state

* refine Graph.named_state()

* add state_tensortuple

* graph._compile()

* add mc session 0

* nn.graph: state tuple to private var; add BlockType; add simple multi client session

* NNGraphIf

* rm old graph.cpp

* nn.graph: add cpp NNGraph; export and call NNGraph

* add comment

* nn.Graph: rm prototype MultiClientSession

* nn.Graph: rm prototype MultiClientSession test

* nn.Graph: add TODO

* nn.Graph: hack to get Graph object name

* nn.Graph: get obj name

* nn.Graph: get obj name 2

* nn.Graph: format for review

* nn.Graph: format

* nn.Graph: format

* nn.Graph: pass flake8 check

* Update graph.py

* name with init count

* name with init count 2

Co-authored-by: Xinqi Li <lixinqi0703106@163.com>
Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

oneflow/python/nn/graph.py

@@ -18,7 +18,6 @@
 from typing import Union
 
 import oneflow._oneflow_internal
-import oneflow.python.framework.id_util as id_util
 import oneflow.python.framework.tensor_tuple_util as tensor_tuple_util
 from oneflow.python.oneflow_export import oneflow_export, experimental_api
 from oneflow.python.nn.module import Module
@@ -31,9 +30,11 @@
 @oneflow_export("nn.Graph", "nn.graph.Graph")
 @experimental_api
 class Graph(object):
+    _child_init_cnt = dict()
+
     def __init__(self):
         self.config = GraphConfig()
-        self._name = id_util.UniqueStr(self.__class__.__name__ + "_")
+        self._generate_name()
         self._c_nn_graph = oneflow._oneflow_internal.NNGraph(self._name)
         self._blocks = OrderedDict()
         self._optimizers = OrderedDict()
@@ -63,6 +64,13 @@ def add_optimizer(
             optimizer, lr_scheduler, grad_clipping_conf, weight_decay_conf
         )
 
+    def _generate_name(self):
+        child_name = self.__class__.__name__
+        if Graph._child_init_cnt.get(child_name) is None:
+            Graph._child_init_cnt[child_name] = 0
+        self._name = child_name + "_" + str(Graph._child_init_cnt[child_name])
+        Graph._child_init_cnt[child_name] += 1
+
     def _named_state(self):
         for _, b in self._blocks.items():
             prefix = b.name + "."

oneflow/python/test/graph/test_graph.py

@@ -73,6 +73,8 @@ def build(self, x):
 
         # Graph init
         g = CustomGraph()
+        # check _c_nn_graph init
+        test_case.assertEqual(g.name, g._c_nn_graph.name)
         # g.m is Block
         test_case.assertTrue(isinstance(g.m, flow.nn.graph.Block))
         # g.m.name is "m"
@@ -128,19 +130,39 @@ def build(self, x):
         # print repr of nn.Graph
         print(repr(g))
 
-    def test_graph_compile(test_case):
-        class CustomGraph(flow.nn.Graph):
+    def test_graph_name(test_case):
+        class ACustomGraph(flow.nn.Graph):
             def __init__(self):
                 super().__init__()
-                self.m = CustomModule()
-                self.config.enable_auto_mixed_precision(True)
 
             def build(self, x):
-                x = self.m(x)
                 return x
 
-        g = CustomGraph()
-        test_case.assertEqual(g.name, g._c_nn_graph.name)
+        class BCustomGraph(flow.nn.Graph):
+            def __init__(self):
+                super().__init__()
+
+            def build(self, x):
+                return x
+
+        class CBCustomGraph(BCustomGraph):
+            def __init__(self):
+                super().__init__()
+
+        def create_graph(cnt):
+            a = ACustomGraph()
+            test_case.assertEqual(a.name, "ACustomGraph_" + str(cnt))
+            b = BCustomGraph()
+            test_case.assertEqual(b.name, "BCustomGraph_" + str(cnt))
+            cb = CBCustomGraph()
+            test_case.assertEqual(cb.name, "CBCustomGraph_" + str(cnt))
+
+        flow.nn.Graph._child_init_cnt.clear()
+        for i in range(0, 3):
+            create_graph(i)
+        flow.nn.Graph._child_init_cnt.clear()
+        for i in range(0, 3):
+            create_graph(i)
 
 
 if __name__ == "__main__":