Fix bug in convert_call because difference exists between python3 and python2. test=develop (#23966)

python/paddle/fluid/dygraph/dygraph_to_static/convert_call_func.py

@@ -30,6 +30,7 @@ import six
 from paddle.fluid.dygraph.dygraph_to_static import ProgramTranslator
 from paddle.fluid.dygraph.layers import Layer
 
+DECORATOR_NAMES = ['declarative', 'dygraph_to_static_func']
 program_translator = ProgramTranslator()
 to_static_func = program_translator.get_func
 
@@ -102,8 +103,17 @@ def convert_call(func):
             return func
         try:
             if func in func.__globals__.values():
-                converted_call = to_static_func(func)
+                if six.PY3:
-                func_self = getattr(func, '__self__', None)
+                    source_code = inspect.getsource(func)
+                    if any(decorator in source_code
+                           for decorator in DECORATOR_NAMES):
+                        converted_call = None
+                    else:
+                        converted_call = to_static_func(func)
+                        func_self = getattr(func, '__self__', None)
+                else:
+                    converted_call = to_static_func(func)
+                    func_self = getattr(func, '__self__', None)
         except AttributeError:
             # NOTE:
             # If func is not in __globals__, it does not need to be transformed
@@ -116,8 +126,17 @@ def convert_call(func):
             converted_call = None
     elif inspect.ismethod(func):
         try:
-            func_self = getattr(func, '__self__', None)
+            if six.PY3:
-            converted_call = to_static_func(func)
+                source_code = inspect.getsource(func)
+                if any(decorator in source_code
+                       for decorator in DECORATOR_NAMES):
+                    converted_call = None
+                else:
+                    converted_call = to_static_func(func)
+                    func_self = getattr(func, '__self__', None)
+            else:
+                converted_call = to_static_func(func)
+                func_self = getattr(func, '__self__', None)
         except (IOError, OSError):
             # NOTE: func may have beed decorated.
             converted_call = None
@@ -125,9 +144,20 @@ def convert_call(func):
     elif hasattr(func, '__class__') and hasattr(func.__class__, '__call__'):
         if hasattr(func, 'forward') and isinstance(func, Layer):
             try:
-                forward_func = to_static_func(func.forward)
+                if six.PY3:
-                setattr(func, 'forward', forward_func)
+                    source_code = inspect.getsource(func.forward)
-                func_self = func
+                    if any(decorator in source_code
+                           for decorator in DECORATOR_NAMES):
+                        converted_call = None
+                    else:
+                        forward_func = to_static_func(func.forward)
+                        setattr(func, 'forward', forward_func)
+                        func_self = func
+                else:
+                    forward_func = to_static_func(func.forward)
+                    setattr(func, 'forward', forward_func)
+                    func_self = func
+
             except Exception:
                 # NOTE: func.forward may have beed decorated.
                 func_self = None if func_self else func_self
@@ -148,5 +178,4 @@ def convert_call(func):
 
     if func_self:
         converted_call = functools.partial(converted_call, func_self)
-
     return converted_call

python/paddle/fluid/tests/unittests/dygraph_to_static/test_recursive_call.py

@@ -25,6 +25,8 @@ SEED = 2020
 np.random.seed(SEED)
 
 
+# Use a decorator to test exception
+@dygraph_to_static_func
 def dyfunc_with_if(x_v):
     if fluid.layers.mean(x_v).numpy()[0] > 5:
         x_v = x_v - 1
@@ -91,6 +93,7 @@ class MyConvLayer(fluid.dygraph.Layer):
             bias_attr=fluid.ParamAttr(
                 initializer=fluid.initializer.Constant(value=0.5)))
 
+    @dygraph_to_static_func
     def forward(self, inputs):
         y = dyfunc_with_if(inputs)
         y = lambda_fun(y)
@@ -99,6 +102,7 @@ class MyConvLayer(fluid.dygraph.Layer):
 
     @dygraph_to_static_func
     def dymethod(self, x_v):
+        x_v = fluid.layers.assign(x_v)
         return x_v