[Dy2stat] Refine Dy2stat APIs to 2.0rc (#27430)

Refine Dy2stat APIs to 2.0rc

After discussion, we accepted 3 key points from reviewers:

1. In 2.0rc we changed dygraph_to_static folder to dy2static
2. Keep the three files: convert_call_func.py, convert_operators.py, variable_trans_func.py
3. Remove convert_operators path when users import convert_xxx. 

After this PR, users can import convert_xxx APIs by:

`import paddle.jit.dy2static.convert_xxx`

The file structure will be:

```
jit
    dy2static
          convert_operators.py
          convert_func_call.py
          variable_trans_func.py
```

Detail changed API in files:

In python/paddle/jit/dygraph_to_static/convert_call_func.py:
from ...fluid.dygraph.dygraph_to_static.convert_call_func import convert_call  #DEFINE_ALIAS

In python/paddle/jit/dygraph_to_static/convert_operators.py:
from ...fluid.dygraph.dygraph_to_static.convert_operators import cast_bool_if_necessary  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_assert  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_ifelse  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_len  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_logical_and  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_logical_not  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_logical_or  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_print  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_var_dtype  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_var_shape  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_while_loop  #DEFINE_ALIAS

In python/paddle/jit/dygraph_to_static/variable_trans_func.py:
from ...fluid.dygraph.dygraph_to_static.variable_trans_func import create_fill_constant_node  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.variable_trans_func import create_static_variable_gast_node  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.variable_trans_func import data_layer_not_check  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.variable_trans_func import to_static_variable  #DEFINE_ALIAS
from ...fluid.dygraph.dygraph_to_static.variable_trans_func import to_static_variable_gast_node  #DEFINE_ALIAS

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

@@ -37,8 +37,7 @@ class AssertTransformer(gast.NodeTransformer):
 
     def visit_Assert(self, node):
         convert_assert_node = gast.parse(
-            'fluid.dygraph.dygraph_to_static.convert_operators.convert_assert({test}, {msg})'.
-            format(
+            'paddle.jit.dy2static.convert_assert({test}, {msg})'.format(
                 test=ast_to_source_code(node.test),
                 msg=ast_to_source_code(node.msg)
                 if node.msg else "")).body[0].value

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

@@ -70,8 +70,7 @@ class CallTransformer(gast.NodeTransformer):
         if PDB_SET in func_str:
             return node
 
-        new_func_str = "fluid.dygraph.dygraph_to_static.convert_call({})".format(
-            func_str)
+        new_func_str = "paddle.jit.dy2static.convert_call({})".format(func_str)
         new_func_ast = gast.parse(new_func_str).body[0].value
         node.func = new_func_ast
 

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

@@ -39,7 +39,7 @@ class CastTransformer(gast.NodeTransformer):
         func_str = ast_to_source_code(node.func).strip()
         if func_str in self._castable_type and len(node.args) > 0:
             args_str = ast_to_source_code(node.args[0]).strip()
-            new_func_str = "fluid.dygraph.dygraph_to_static.convert_operators.convert_var_dtype({}, '{}')".format(
+            new_func_str = "paddle.jit.dy2static.convert_var_dtype({}, '{}')".format(
                 args_str, func_str)
             new_node = gast.parse(new_func_str).body[0].value
             return new_node

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

@@ -310,8 +310,8 @@ def parse_cond_return(parent_vars_dict, if_vars_dict, else_vars_dict,
         After transformed, q and z are created in parent scope. For example,
 
         x, y = 5, 10
-        q = fluid.dygraph.dygraph_to_static.variable_trans_func.data_layer_not_check(name='q', shape=[-1], dtype='float32')
-        z = fluid.dygraph.dygraph_to_static.variable_trans_func.data_layer_not_check(name='z', shape=[-1], dtype='float32')
+        q = paddle.jit.dy2static.data_layer_not_check(name='q', shape=[-1], dtype='float32')
+        z = paddle.jit.dy2static.data_layer_not_check(name='z', shape=[-1], dtype='float32')
 
         def true_func(x, y, q):
             x = x+1
@@ -460,7 +460,7 @@ def create_convert_ifelse_node(return_name_ids,
                                false_func,
                                is_if_expr=False):
     """
-    Create `fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse(
+    Create `paddle.jit.dy2static.convert_ifelse(
             pred, true_fn, false_fn, true_args, false_args, return_vars)`
     to replace original `python if/else` statement.
     """
@@ -491,7 +491,7 @@ def create_convert_ifelse_node(return_name_ids,
     return_vars = create_name_nodes(return_name_ids)
 
     convert_ifelse_layer = gast.parse(
-        'fluid.dygraph.dygraph_to_static.convert_operators.convert_ifelse('
+        'paddle.jit.dy2static.convert_ifelse('
         '{pred}, {true_fn}, {false_fn}, {true_args}, {false_args}, {return_vars})'.
         format(
             pred=ast_to_source_code(pred),

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

@@ -188,8 +188,8 @@ class ListTransformer(gast.NodeTransformer):
             pass
         elif isinstance(slice_node, gast.Index):
             value_code = ast_to_source_code(node.value)
-            i = "fluid.layers.cast(" \
-                "x=fluid.dygraph.dygraph_to_static.variable_trans_func.to_static_variable({})," \
+            i = "paddle.cast(" \
+                "x=paddle.jit.dy2static.to_static_variable({})," \
                 "dtype='int64')".format(ast_to_source_code(slice_node))
             assign_code = "{} = fluid.layers.array_write(x={}, i={}, array={})" \
                 .format(target_name, value_code, i, target_name)

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

@@ -34,7 +34,7 @@ class LogicalTransformer(gast.NodeTransformer):
         self.generic_visit(node)
         if isinstance(node.op, gast.Not):
             arg = ast_to_source_code(node.operand)
-            new_node_str = "fluid.dygraph.dygraph_to_static.convert_operators.convert_logical_not({})".format(
+            new_node_str = "paddle.jit.dy2static.convert_logical_not({})".format(
                 arg)
             # NOTE: gast.parse returns Module(body=[expr(value=...)])
             new_node = gast.parse(new_node_str).body[0].value
@@ -67,7 +67,7 @@ class LogicalTransformer(gast.NodeTransformer):
             nodes = [pre_logic_node] + [post_logic_node]
 
         args = [ast_to_source_code(child) for child in nodes]
-        new_node_str = "fluid.dygraph.dygraph_to_static.convert_operators.convert_logical_{}(x={}, y={})".format(
+        new_node_str = "paddle.jit.dy2static.convert_logical_{}(x={}, y={})".format(
             api_type, args[0], args[1])
         # NOTE: gast.parse return Module(body=[expr(...)])
         new_node = gast.parse(new_node_str).body[0].value

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

@@ -46,7 +46,7 @@ def create_while_node(condition_name, body_name, loop_var_names):
     # For example: loop_var_names = [a, b, foo.x], the type of `a` or `b` is gast.Name,
     # but the type of `foo.x` gast.Attribute.
 
-    while_func_name = "fluid.dygraph.dygraph_to_static.convert_operators.convert_while_loop"
+    while_func_name = "paddle.jit.dy2static.convert_while_loop"
     while_node_str = "[{}] = {}({}, {}, [{}])".format(
         ",".join(loop_var_names), while_func_name, condition_name, body_name,
         ",".join(loop_var_names))

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

@@ -51,6 +51,5 @@ class PrintTransformer(gast.NodeTransformer):
 
     def _create_print_node(self, print_args):
         convert_print_func = gast.parse(
-            'fluid.dygraph.dygraph_to_static.convert_operators.convert_print'
-        ).body[0].value
+            'paddle.jit.dy2static.convert_print').body[0].value
         return gast.Call(func=convert_print_func, args=print_args, keywords=[])

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

@@ -26,7 +26,7 @@ from paddle.fluid.dygraph.dygraph_to_static.static_analysis import StaticAnalysi
 def create_convert_shape_node(var_shape_node):
     assert isinstance(var_shape_node, (gast.Attribute, gast.Subscript))
 
-    convert_var_shape_func = "fluid.dygraph.dygraph_to_static.convert_operators.convert_var_shape"
+    convert_var_shape_func = "paddle.jit.dy2static.convert_var_shape"
 
     if isinstance(var_shape_node, gast.Attribute):
         api_shape_node = gast.Call(

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

@@ -427,7 +427,7 @@ def ast_to_func(ast_root, dyfunc, delete_on_exit=True):
             os.remove(filepath)
 
     source = ast_to_source_code(ast_root)
-    import_fluid = "import paddle.fluid as fluid\n"
+    import_fluid = "import paddle\nimport paddle.fluid as fluid\n"
     source = import_fluid + source
 
     if six.PY2:
@@ -922,7 +922,7 @@ class ForNodeVisitor(object):
         else:
             iter_var_name = ast_to_source_code(self.iter_node).strip()
 
-        convert_len_node_source_str = '{} = fluid.dygraph.dygraph_to_static.convert_operators.convert_len({})'.format(
+        convert_len_node_source_str = '{} = paddle.jit.dy2static.convert_len({})'.format(
             self.iter_var_len_name, iter_var_name)
 
         convert_len_node = gast.parse(convert_len_node_source_str).body[0]

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

@@ -22,8 +22,8 @@ from paddle.fluid.layers import fill_constant
 from paddle.fluid.layer_helper import LayerHelper
 
 __all__ = [
-    'to_static_variable_gast_node', 'create_static_variable_gast_node',
-    'data_layer_not_check'
+    'create_fill_constant_node', 'create_static_variable_gast_node',
+    'data_layer_not_check', 'to_static_variable', 'to_static_variable_gast_node'
 ]
 
 
@@ -74,20 +74,20 @@ def data_layer_not_check(name, shape, dtype='float32', lod_level=0):
 
 
 def to_static_variable_gast_node(name):
-    func_code = "{} = fluid.dygraph.dygraph_to_static.variable_trans_func\
-        .to_static_variable({})".format(name, name)
+    func_code = "{} = paddle.jit.dy2static.to_static_variable({})".format(name,
+                                                                          name)
     return gast.parse(func_code).body[0]
 
 
 def create_static_variable_gast_node(name):
-    func_code = "{} = fluid.dygraph.dygraph_to_static.variable_trans_func\
+    func_code = "{} = paddle.jit.dy2static\
         .data_layer_not_check(name='{}', shape=[-1], dtype='float32')".format(
         name, name)
     return gast.parse(func_code).body[0]
 
 
 def create_fill_constant_node(name, value):
-    func_code = "{} = fluid.layers.fill_constant(shape=[1], ".format(name)
+    func_code = "{} = paddle.fill_constant(shape=[1], ".format(name)
     if isinstance(value, bool):
         func_code += "dtype='bool', value={})".format(value)
         return gast.parse(func_code).body[0]

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

@@ -59,9 +59,9 @@ def dyfunc_with_if_else3(x):
     # The var is created only in one of If.body or If.orelse node, and it used as gast.Load firstly after gast.If node.
     # The transformed code:
     """
-    q = fluid.dygraph.dygraph_to_static.variable_trans_func.
+    q = paddle.jit.dy2static.
         data_layer_not_check(name='q', shape=[-1], dtype='float32')
-    z = fluid.dygraph.dygraph_to_static.variable_trans_func.
+    z = paddle.jit.dy2static.
             data_layer_not_check(name='z', shape=[-1], dtype='float32')
 
     def true_fn_0(q, x, y):
@@ -77,8 +77,8 @@ def dyfunc_with_if_else3(x):
         n = x + 3
         return q, x, y, z
     q, x, y, z = fluid.layers.cond(fluid.layers.mean(x)[0] < 5, lambda :
-        fluid.dygraph.dygraph_to_static.convert_call(true_fn_0)(q, x, y),
-        lambda : fluid.dygraph.dygraph_to_static.convert_call(false_fn_0)(q,
+        paddle.jit.dy2static.convert_call(true_fn_0)(q, x, y),
+        lambda : paddle.jit.dy2static.convert_call(false_fn_0)(q,
         x, y))
     """
     y = x + 1

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

@@ -64,11 +64,9 @@ 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
 
@@ -80,13 +78,13 @@ 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.dy2static.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
@@ -94,14 +92,13 @@ class StaticCode1():
         def false_fn_1(__return_0, __return_value_0):
             return __return_0, __return_value_0
 
-        __return_0, __return_value_0 = (
-            fluid.dygraph.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)))
+        __return_0, __return_value_0 = (paddle.jit.dy2static.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
@@ -109,23 +106,19 @@ class StaticCode1():
         def false_fn_2(__return_1, __return_value_0):
             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.
-                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)))
+        __return_1, __return_value_0 = (paddle.jit.dy2static.convert_ifelse(
+            paddle.jit.dy2static.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)))
         return __return_value_0
 
 
 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
 
@@ -137,13 +130,13 @@ 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.dy2static.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
@@ -151,14 +144,13 @@ class StaticCode2():
         def false_fn_4(__return_2, __return_value_1):
             return __return_2, __return_value_1
 
-        __return_2, __return_value_1 = (
-            fluid.dygraph.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)))
+        __return_2, __return_value_1 = (paddle.jit.dy2static.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
@@ -166,12 +158,10 @@ class StaticCode2():
         def false_fn_5(__return_3, __return_value_1):
             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.
-                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)))
+        __return_3, __return_value_1 = (paddle.jit.dy2static.convert_ifelse(
+            paddle.jit.dy2static.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)))
         return __return_value_1
 
 

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

@@ -52,7 +52,7 @@ def dyfunc_tensor_shape_4(x):
 def dyfunc_tensor_shape_5(x):
     # `res = fluid.layers.reshape(x, shape=(-1, s))` to
     # `res = fluid.layers.reshape(x, shape=(-1,
-    #           fluid.dygraph.dygraph_to_static.convert_operators.convert_var_shape(x)[0]))`
+    #           paddle.jit.dy2static.convert_var_shape(x)[0]))`
     x = fluid.dygraph.to_variable(x)
     s = x.shape[0]
     res = fluid.layers.reshape(x, shape=(-1, s))
@@ -65,7 +65,7 @@ def dyfunc_with_if_1(x):
     x_shape_0 = x.shape[0]
     if x_shape_0 < 1:
         # `res.shape[0]` is transformed into
-        #   `fluid.dygraph.dygraph_to_static.convert_operators.convert_var_shape(res)[0]`
+        #   `paddle.jit.dy2static.convert_var_shape(res)[0]`
         if res.shape[0] > 1:
             res = fluid.layers.fill_constant(
                 value=2, shape=x.shape, dtype="int32")
@@ -89,7 +89,7 @@ def dyfunc_with_if_2(x):
 def dyfunc_with_for_1(x):
     x = fluid.dygraph.to_variable(x)
     res = fluid.layers.fill_constant(value=0, shape=[1], dtype="int32")
-    # `x.shape[0]` is transformed into `fluid.dygraph.dygraph_to_static.convert_operators.convert_var_shape(x)[0]`
+    # `x.shape[0]` is transformed into `paddle.jit.dy2static.convert_var_shape(x)[0]`
     for i in range(x.shape[0]):
         res += 1
     return res
@@ -100,7 +100,7 @@ def dyfunc_with_for_2(x):
     x_shape_0 = x.shape[0]
     res = fluid.layers.fill_constant(value=0, shape=[1], dtype="int32")
 
-    # `x_shape_0` is transformed into `fluid.dygraph.dygraph_to_static.convert_operators.convert_var_shape(x)[0]`
+    # `x_shape_0` is transformed into `paddle.jit.dy2static.convert_var_shape(x)[0]`
     for i in range(x_shape_0):
         res += 1
     return res
@@ -124,7 +124,7 @@ def dyfunc_with_for_3(x):
 def dyfunc_with_while_1(x):
     x = fluid.dygraph.to_variable(x)
     res = fluid.layers.fill_constant(value=0, shape=[1], dtype="int32")
-    # `x.shape[0]` is transformed into `fluid.dygraph.dygraph_to_static.convert_operators.convert_var_shape(x)[0]`
+    # `x.shape[0]` is transformed into `paddle.jit.dy2static.convert_var_shape(x)[0]`
     i = 1
     while i < x.shape[0]:
         res += 1
@@ -137,7 +137,7 @@ def dyfunc_with_while_2(x):
     x_shape_0 = x.shape[0]
     res = fluid.layers.fill_constant(value=0, shape=[1], dtype="int32")
     i = 1
-    # `x_shape_0` is transformed into `fluid.dygraph.dygraph_to_static.convert_operators.convert_var_shape(x)[0]`
+    # `x_shape_0` is transformed into `paddle.jit.dy2static.convert_var_shape(x)[0]`
     while i < x_shape_0:
         res += 1
         i = i + 2

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))

python/paddle/jit/__init__.py

@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from __future__ import print_function
+
 from ..fluid.dygraph.jit import save  #DEFINE_ALIAS
 from ..fluid.dygraph.jit import load  #DEFINE_ALIAS
 from ..fluid.dygraph.jit import TracedLayer  #DEFINE_ALIAS
@@ -21,6 +23,8 @@ from ..fluid.dygraph.jit import declarative as to_static  #DEFINE_ALIAS
 from ..fluid.dygraph import ProgramTranslator  #DEFINE_ALIAS
 from ..fluid.dygraph.io import TranslatedLayer  #DEFINE_ALIAS
 
+from . import dy2static
+
 __all__ = [
     'save', 'load', 'TracedLayer', 'to_static', 'ProgramTranslator',
     'TranslatedLayer', 'set_code_level', 'set_verbosity'

python/paddle/jit/dy2static/__init__.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+from . import convert_operators
+from .convert_operators import *
+
+from . import convert_call_func
+from .convert_call_func import *
+
+from . import variable_trans_func
+from .variable_trans_func import *
+
+__all__ = []
+__all__ += convert_operators.__all__
+__all__ += convert_call_func.__all__
+__all__ += variable_trans_func.__all__

python/paddle/jit/dy2static/convert_call_func.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from __future__ import print_function
+
+from ...fluid.dygraph.dygraph_to_static.convert_call_func import convert_call  #DEFINE_ALIAS
+
+__all__ = ['convert_call']

python/paddle/jit/dy2static/convert_operators.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from __future__ import print_function
+
+from ...fluid.dygraph.dygraph_to_static.convert_operators import cast_bool_if_necessary  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_assert  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_ifelse  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_len  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_logical_and  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_logical_not  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_logical_or  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_print  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_var_dtype  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_var_shape  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_while_loop  #DEFINE_ALIAS
+
+__all__ = [
+    'cast_bool_if_necessary', 'convert_assert', 'convert_ifelse', 'convert_len',
+    'convert_logical_and', 'convert_logical_not', 'convert_logical_or',
+    'convert_print', 'convert_var_dtype', 'convert_var_shape',
+    'convert_while_loop'
+]

python/paddle/jit/dy2static/variable_trans_func.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+from ...fluid.dygraph.dygraph_to_static.variable_trans_func import create_fill_constant_node  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.variable_trans_func import create_static_variable_gast_node  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.variable_trans_func import data_layer_not_check  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.variable_trans_func import to_static_variable  #DEFINE_ALIAS
+from ...fluid.dygraph.dygraph_to_static.variable_trans_func import to_static_variable_gast_node  #DEFINE_ALIAS
+
+__all__ = [
+    'create_fill_constant_node', 'create_static_variable_gast_node',
+    'data_layer_not_check', 'to_static_variable', 'to_static_variable_gast_node'
+]

python/setup.py.in

@@ -156,6 +156,7 @@ packages=['paddle',
           'paddle.distributed.fleet.utils',
           'paddle.framework',
           'paddle.jit',
+          'paddle.jit.dy2static',
           'paddle.inference',
           'paddle.fluid',
           'paddle.fluid.inference',