Fix unittest, test=develop

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

@@ -65,7 +65,7 @@ class TestOriginInfo(unittest.TestCase):
         self.func = simple_func
 
     def set_static_lineno(self):
-        self.static_abs_lineno_list = [2, 3, 4]
+        self.static_abs_lineno_list = [3, 4, 5]
 
     def set_dygraph_info(self):
         self.line_num = 3
@@ -149,7 +149,7 @@ class TestOriginInfoWithNestedFunc(TestOriginInfo):
         self.func = nested_func
 
     def set_static_lineno(self):
-        self.static_abs_lineno_list = [2, 4, 5, 6, 7]
+        self.static_abs_lineno_list = [3, 5, 6, 7, 8]
 
     def set_dygraph_info(self):
         self.line_num = 5
@@ -174,7 +174,7 @@ class TestOriginInfoWithDecoratedFunc(TestOriginInfo):
         self.func = decorated_func
 
     def set_static_lineno(self):
-        self.static_abs_lineno_list = [2, 3]
+        self.static_abs_lineno_list = [3, 4]
 
     def set_dygraph_info(self):
         self.line_num = 2
@@ -208,7 +208,7 @@ class TestOriginInfoWithDecoratedFunc2(TestOriginInfo):
         self.func = decorated_func2
 
     def set_static_lineno(self):
-        self.static_abs_lineno_list = [2, 3]
+        self.static_abs_lineno_list = [3, 4]
 
     def set_dygraph_info(self):
         self.line_num = 2

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

@@ -63,11 +63,9 @@ def get_source_code(func):
 class StaticCode1():
     # TODO: Transform return statement
     def dyfunc_with_if_else(x_v, label=None):
-        __return_1 = fluid.layers.fill_constant(
-            shape=[1], dtype='bool', value=False)
-        __return_0 = fluid.layers.fill_constant(
-            shape=[1], dtype='bool', value=False)
-        __return_value_init_0 = fluid.layers.fill_constant(
+        __return_1 = paddle.fill_constant(shape=[1], dtype='bool', value=False)
+        __return_0 = paddle.fill_constant(shape=[1], dtype='bool', value=False)
+        __return_value_init_0 = paddle.fill_constant(
             shape=[1], dtype='float64', value=0.0)
         __return_value_0 = __return_value_init_0
 
@@ -79,13 +77,13 @@ class StaticCode1():
             x_v = x_v + 1
             return x_v
 
-        x_v = fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse(
+        x_v = paddle.jit.dygraph_to_static.convert_operators.convert_ifelse(
             fluid.layers.mean(x_v)[0] > 5, true_fn_0, false_fn_0, (x_v, ),
             (x_v, ), (x_v, ))
 
         def true_fn_1(__return_0, __return_value_0, label, x_v):
             loss = fluid.layers.cross_entropy(x_v, label)
-            __return_0 = fluid.layers.fill_constant(
+            __return_0 = paddle.fill_constant(
                 shape=[1], dtype='bool', value=True)
             __return_value_0 = loss
             return __return_0, __return_value_0
@@ -94,13 +92,13 @@ class StaticCode1():
             return __return_0, __return_value_0
 
         __return_0, __return_value_0 = (
-            fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse(
+            paddle.jit.dygraph_to_static.convert_operators.convert_ifelse(
                 label is not None, true_fn_1, false_fn_1,
                 (__return_0, __return_value_0, label, x_v),
                 (__return_0, __return_value_0), (__return_0, __return_value_0)))
 
         def true_fn_2(__return_1, __return_value_0, x_v):
-            __return_1 = fluid.layers.fill_constant(
+            __return_1 = paddle.fill_constant(
                 shape=[1], dtype='bool', value=True)
             __return_value_0 = x_v
             return __return_1, __return_value_0
@@ -109,8 +107,8 @@ class StaticCode1():
             return __return_1, __return_value_0
 
         __return_1, __return_value_0 = (
-            fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse(
-                fluid.dygraph.dygraph_to_static.convert_operators.
+            paddle.jit.dygraph_to_static.convert_operators.convert_ifelse(
+                paddle.jit.dygraph_to_static.convert_operators.
                 convert_logical_not(__return_0), true_fn_2, false_fn_2,
                 (__return_1, __return_value_0, x_v),
                 (__return_1, __return_value_0), (__return_1, __return_value_0)))
@@ -120,11 +118,9 @@ class StaticCode1():
 class StaticCode2():
     # TODO: Transform return statement
     def dyfunc_with_if_else(x_v, label=None):
-        __return_3 = fluid.layers.fill_constant(
-            shape=[1], dtype='bool', value=False)
-        __return_2 = fluid.layers.fill_constant(
-            shape=[1], dtype='bool', value=False)
-        __return_value_init_1 = fluid.layers.fill_constant(
+        __return_3 = paddle.fill_constant(shape=[1], dtype='bool', value=False)
+        __return_2 = paddle.fill_constant(shape=[1], dtype='bool', value=False)
+        __return_value_init_1 = paddle.fill_constant(
             shape=[1], dtype='float64', value=0.0)
         __return_value_1 = __return_value_init_1
 
@@ -136,13 +132,13 @@ class StaticCode2():
             x_v = x_v + 1
             return x_v
 
-        x_v = fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse(
+        x_v = paddle.jit.dygraph_to_static.convert_operators.convert_ifelse(
             fluid.layers.mean(x_v)[0] > 5, true_fn_3, false_fn_3, (x_v, ),
             (x_v, ), (x_v, ))
 
         def true_fn_4(__return_2, __return_value_1, label, x_v):
             loss = fluid.layers.cross_entropy(x_v, label)
-            __return_2 = fluid.layers.fill_constant(
+            __return_2 = paddle.fill_constant(
                 shape=[1], dtype='bool', value=True)
             __return_value_1 = loss
             return __return_2, __return_value_1
@@ -151,13 +147,13 @@ class StaticCode2():
             return __return_2, __return_value_1
 
         __return_2, __return_value_1 = (
-            fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse(
+            paddle.jit.dygraph_to_static.convert_operators.convert_ifelse(
                 label is not None, true_fn_4, false_fn_4,
                 (__return_2, __return_value_1, label, x_v),
                 (__return_2, __return_value_1), (__return_2, __return_value_1)))
 
         def true_fn_5(__return_3, __return_value_1, x_v):
-            __return_3 = fluid.layers.fill_constant(
+            __return_3 = paddle.fill_constant(
                 shape=[1], dtype='bool', value=True)
             __return_value_1 = x_v
             return __return_3, __return_value_1
@@ -166,8 +162,8 @@ class StaticCode2():
             return __return_3, __return_value_1
 
         __return_3, __return_value_1 = (
-            fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse(
-                fluid.dygraph.dygraph_to_static.convert_operators.
+            paddle.jit.dygraph_to_static.convert_operators.convert_ifelse(
+                paddle.jit.dygraph_to_static.convert_operators.
                 convert_logical_not(__return_2), true_fn_5, false_fn_5,
                 (__return_3, __return_value_1, x_v),
                 (__return_3, __return_value_1), (__return_3, __return_value_1)))

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

@@ -51,24 +51,24 @@ class TestDataLayerNotCheck(unittest.TestCase):
 class TestVariableTransFunc(unittest.TestCase):
     def test_create_fill_constant_node(self):
         node = create_fill_constant_node("a", 1.0)
-        source = "a = fluid.layers.fill_constant(shape=[1], dtype='float64', value=1.0)"
+        source = "a = paddle.fill_constant(shape=[1], dtype='float64', value=1.0)"
         self.assertEqual(ast_to_source_code(node).strip(), source)
 
         node = create_fill_constant_node("b", True)
-        source = "b = fluid.layers.fill_constant(shape=[1], dtype='bool', value=True)"
+        source = "b = paddle.fill_constant(shape=[1], dtype='bool', value=True)"
         self.assertEqual(ast_to_source_code(node).strip(), source)
 
         if six.PY2:
             node = create_fill_constant_node("c", 214)
-            source = "c = fluid.layers.fill_constant(shape=[1], dtype='int32', value=214)"
+            source = "c = paddle.fill_constant(shape=[1], dtype='int32', value=214)"
             self.assertEqual(ast_to_source_code(node).strip(), source)
 
             node = create_fill_constant_node("d", long(10086))
-            source = "d = fluid.layers.fill_constant(shape=[1], dtype='int64', value=10086)"
+            source = "d = paddle.fill_constant(shape=[1], dtype='int64', value=10086)"
             self.assertEqual(ast_to_source_code(node).strip(), source)
         else:
             node = create_fill_constant_node("c", 4293)
-            source = "c = fluid.layers.fill_constant(shape=[1], dtype='int64', value=4293)"
+            source = "c = paddle.fill_constant(shape=[1], dtype='int64', value=4293)"
             self.assertEqual(ast_to_source_code(node).strip(), source)
 
         self.assertIsNone(create_fill_constant_node("e", None))