Dev/add fake_interface_only decorator for some function of Variable (#24083)

* add decorator, test=develop

* add fake_interface_only, test=develop

* remove some dygraph_not_support, test=develop

* change dygraph to imperative, test=develop

python/paddle/fluid/framework.py

@@ -203,7 +203,7 @@ def in_dygraph_mode():
 def _dygraph_not_support_(func):
     def __impl__(*args, **kwargs):
         assert not in_dygraph_mode(
-        ), "We don't support %s in Dygraph mode" % func.__name__
+        ), "We don't support %s in imperative mode" % func.__name__
         return func(*args, **kwargs)
 
     return __impl__
@@ -212,14 +212,31 @@ def _dygraph_not_support_(func):
 def _dygraph_only_(func):
     def __impl__(*args, **kwargs):
         assert in_dygraph_mode(
-        ), "We Only support %s in Dygraph mode, please use fluid.dygraph.guard() as context to run it in Dygraph Mode" % func.__name__
+        ), "We Only support %s in imperative mode, please use fluid.dygraph.guard() as context to run it in imperative Mode" % func.__name__
         return func(*args, **kwargs)
 
     return __impl__
 
 
+# NOTE(zhiqiu): This decorator is used for the APIs of Variable which is only
+# used to make Variable and VarBase has same interfaces, like numpy. Since VarBase is not exposed in our
+# official docments, logically, we want to keep VarBase and logically consistent. While, actually,
+# in our implementation, there some APIs not supported, like numpy, because Variable contains the desc.
+# So, those APIs are listed under class Variable to generate docs only.
+# TODO(zhiqiu): We should make VarBase consistent with Variable in future, for example, by inheritting
+# same base class. 
+def _fake_interface_only_(func):
+    def __impl__(*args, **kwargs):
+        raise AssertionError(
+            "'%s' should be called by imperative Varible in imperative mode, please use fluid.dygraph.guard() as context to run it in imperative mode"
+            % func.__name__)
+
+    return __impl__
+
+
 dygraph_not_support = wrap_decorator(_dygraph_not_support_)
 dygraph_only = wrap_decorator(_dygraph_only_)
+fake_interface_only = wrap_decorator(_fake_interface_only_)
 
 
 def _dygraph_tracer():
@@ -592,7 +609,6 @@ class VariableMetaClass(type):
     def __instancecheck__(cls, instance):
         t = type(instance)
         if in_dygraph_mode():
-
             return issubclass(t, core.VarBase)
         else:
             return issubclass(t, Variable)
@@ -954,7 +970,7 @@ class Variable(object):
         self._stop_gradient = stop_gradient
         self.is_data = is_data
 
-    @dygraph_only
+    @fake_interface_only
     def detach(self):
         """
         **Notes**:
@@ -984,7 +1000,7 @@ class Variable(object):
         """
         pass
 
-    @dygraph_only
+    @fake_interface_only
     def numpy(self):
         """
         **Notes**:
@@ -1016,7 +1032,7 @@ class Variable(object):
         """
         pass
 
-    @dygraph_only
+    @fake_interface_only
     def set_value(self, value):
         """
         **Notes**:
@@ -1047,7 +1063,7 @@ class Variable(object):
         """
         pass
 
-    @dygraph_only
+    @fake_interface_only
     def backward(self, backward_strategy=None):
         """
         **Notes**:
@@ -1085,7 +1101,7 @@ class Variable(object):
         """
         pass
 
-    @dygraph_only
+    @fake_interface_only
     def gradient(self):
         """
         **Notes**:
@@ -1133,7 +1149,7 @@ class Variable(object):
         """
         pass
 
-    @dygraph_only
+    @fake_interface_only
     def clear_gradient(self):
         """
         **Notes**:
@@ -1200,9 +1216,6 @@ class Variable(object):
                 print("=============with detail===============")
                 print(new_variable.to_string(True, True))
         """
-        if in_dygraph_mode():
-            return
-
         assert isinstance(throw_on_error, bool) and isinstance(with_details,
                                                                bool)
         protostr = self.desc.serialize_to_string()
@@ -1249,16 +1262,10 @@ class Variable(object):
                 assert linear.weight.gradient() is None
                 assert (out1.gradient() == 0).all()
         """
-        if in_dygraph_mode():
-            pass
-        else:
         return self._stop_gradient
 
     @stop_gradient.setter
     def stop_gradient(self, s):
-        if in_dygraph_mode():
-            pass
-        else:
         self._stop_gradient = s
 
     @property
@@ -1284,18 +1291,10 @@ class Variable(object):
                                                 dtype='float32')
             print("persistable of current Var is: {}".format(new_variable.persistable))
         """
-        if in_dygraph_mode():
-            pass
-        else:
         return self.desc.persistable()
 
     @persistable.setter
     def persistable(self, p):
-        if in_dygraph_mode():
-            logging.warn(
-                "There will be no use to set persistable in Dygraph Mode, since "
-                "you can just do it by hold it as normal Python variable")
-        else:
         self.desc.set_persistable(p)
 
     @property
@@ -1316,9 +1315,6 @@ class Variable(object):
                                                 dtype='float32')
             print("name of current Var is: {}".format(new_variable.name))
         """
-        if in_dygraph_mode():
-            pass
-        else:
         return cpt.to_text(self.desc.name())
 
     @property
@@ -1343,9 +1339,6 @@ class Variable(object):
 
     @name.setter
     def name(self, new_name):
-        if in_dygraph_mode():
-            pass
-        else:
         self.desc.set_name(new_name)
 
     @property
@@ -1368,9 +1361,6 @@ class Variable(object):
 
         """
         # convert to tuple, make it as same as numpy API.
-        if in_dygraph_mode():
-            pass
-        else:
         return tuple(self.desc.shape())
 
     @property
@@ -1391,13 +1381,9 @@ class Variable(object):
                                                 dtype='float32')
             print("Dtype of current Var is: {}".format(new_variable.dtype))
         """
-        if in_dygraph_mode():
-            pass
-        else:
         return self.desc.dtype()
 
     @property
-    @dygraph_not_support
     def lod_level(self):
         """
         Indicating ``LoD`` info of current Variable, please refer to  :ref:`api_fluid_LoDTensor_en` to check the meaning
@@ -1420,10 +1406,6 @@ class Variable(object):
                                                 dtype='float32')
             print("LoD Level of current Var is: {}".format(new_variable.lod_level))
         """
-        # TODO(minqiyang): Support lod_level in dygraph mode
-        if in_dygraph_mode():
-            raise Exception("Dygraph model DO NOT supprt lod")
-
         if self.type == core.VarDesc.VarType.SELECTED_ROWS:
             raise Exception("SelectedRows DO NOT supprt lod")
 
@@ -1447,9 +1429,6 @@ class Variable(object):
                                                 dtype='float32')
             print("Type of current Var is: {}".format(new_variable.type))
         """
-        if in_dygraph_mode():
-            pass
-        else:
         return self.desc.type()
 
     def _set_error_clip(self, error_clip):
@@ -2018,9 +1997,6 @@ class Operator(object):
 
     @property
     def type(self):
-        if in_dygraph_mode():
-            return self._type
-        else:
         return self.desc.type()
 
     def input(self, name):
@@ -3977,7 +3953,6 @@ class Program(object):
     def _version(self):
         return self.desc._version()
 
-    @dygraph_not_support
     def clone(self, for_test=False):
         """
         **Notes**:
@@ -4664,7 +4639,6 @@ class Program(object):
                 if other_var.stop_gradient:
                     var.stop_gradient = True
 
-    @dygraph_not_support
     def list_vars(self):
         """
         Get all :ref:`api_guide_Variable_en` from this Program. A iterable object is returned.
@@ -4687,7 +4661,6 @@ class Program(object):
             for each_var in list(each_block.vars.values()):
                 yield each_var
 
-    @dygraph_not_support
     def all_parameters(self):
         """
         Get all :ref:`api_guide_parameter_en` from this Program. A list object is returned.

python/paddle/fluid/tests/unittests/test_detach.py

@@ -158,7 +158,7 @@ class Test_Detach(unittest.TestCase):
             assert type(e) == AssertionError
             assert str(
                 e
-            ) == 'We Only support detach in Dygraph mode, please use fluid.dygraph.guard() as context to run it in Dygraph Mode'
+            ) == "'detach' should be called by imperative Varible in imperative mode, please use fluid.dygraph.guard() as context to run it in imperative mode"
 
 
 if __name__ == '__main__':

python/paddle/fluid/tests/unittests/test_variable.py

@@ -184,27 +184,35 @@ class TestVariable(unittest.TestCase):
         with fluid.program_guard(default_main_program()):
             self._tostring()
 
-    # NOTE(zhiqiu): for coverage CI
-    # TODO(zhiqiu): code clean for dygraph
-    def test_dygraph_deprecated_api(self):
+    def test_fake_interface_only_api(self):
         b = default_main_program().current_block()
         var = b.create_var(dtype="float64", lod_level=0)
         with fluid.dygraph.guard():
-            self.assertIsNone(var.detach())
-            self.assertIsNone(var.numpy())
-            self.assertIsNone(var.set_value(None))
-            self.assertIsNone(var.backward())
-            self.assertIsNone(var.gradient())
-            self.assertIsNone(var.clear_gradient())
-            self.assertIsNone(var.to_string(True))
-            self.assertIsNone(var.persistable)
+            self.assertRaises(AssertionError, var.detach)
+            self.assertRaises(AssertionError, var.numpy)
+            self.assertRaises(AssertionError, var.set_value, None)
+            self.assertRaises(AssertionError, var.backward)
+            self.assertRaises(AssertionError, var.gradient)
+            self.assertRaises(AssertionError, var.clear_gradient)
+
+    def test_variable_in_dygraph_mode(self):
+        b = default_main_program().current_block()
+        var = b.create_var(dtype="float64", shape=[1, 1])
+        with fluid.dygraph.guard():
+            self.assertTrue(var.to_string(True).startswith('name:'))
+
+            self.assertFalse(var.persistable)
+            var.persistable = True
+            self.assertTrue(var.persistable)
+
+            self.assertFalse(var.stop_gradient)
             var.stop_gradient = True
-            self.assertIsNone(var.stop_gradient)
-            var.stop_gradient = 'tmp'
-            self.assertIsNone(var.name)
-            self.assertIsNone(var.shape)
-            self.assertIsNone(var.dtype)
-            self.assertIsNone(var.type)
+            self.assertTrue(var.stop_gradient)
+
+            self.assertTrue(var.name.startswith('_generated_var_'))
+            self.assertEqual(var.shape, (1, 1))
+            self.assertEqual(var.dtype, fluid.core.VarDesc.VarType.FP64)
+            self.assertEqual(var.type, fluid.core.VarDesc.VarType.LOD_TENSOR)
 
     def test_create_selected_rows(self):
         b = default_main_program().current_block()