Add interface to get the attributes of network

mindspore/nn/cell.py

@@ -56,7 +56,7 @@ class Cell:
         >>>    def construct(self, x):
         >>>        return self.relu(x)
     """
-    def __init__(self, auto_prefix=True):
+    def __init__(self, auto_prefix=True, flags=None):
         self._params = OrderedDict()
         self._cells = OrderedDict()
         self.training = False
@@ -74,6 +74,8 @@ class Cell:
         if _get_parallel_mode() in ["auto_parallel", "semi_auto_parallel"]:
             self._get_construct_inputs_number_and_name()
         self._parallel_inputs_run = None
+        if flags:
+            self.add_flags(**flags)
 
     @property
     def create_time(self):
@@ -603,6 +605,11 @@ class Cell:
             cell.add_flags_recursive(**flags)
         return self
 
+    def get_flags(self):
+        if not hasattr(self, "_mindspore_flags"):
+            self._mindspore_flags = {}
+        return self._mindspore_flags
+
     def to_float(self, dst_type):
         """
         Add cast on all inputs of cell and child cells to run with certain float type.

mindspore/nn/wrap/cell_wrapper.py

@@ -226,7 +226,7 @@ class DataWrapper(Cell):
     """
 
     def __init__(self, network, dataset_types, dataset_shapes, queue_name):
-        super(DataWrapper, self).__init__(auto_prefix=False)
+        super(DataWrapper, self).__init__(auto_prefix=False, flags=network.get_flags())
 
         self.get_next = P.GetNext(dataset_types, dataset_shapes, len(dataset_types), queue_name)
         self.network = network