Modify paths, test=develop

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

@@ -78,7 +78,7 @@ class StaticCode1():
             x_v = x_v + 1
             return x_v
 
-        x_v = paddle.jit.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, ))
 
@@ -92,11 +92,10 @@ class StaticCode1():
         def false_fn_1(__return_0, __return_value_0):
             return __return_0, __return_value_0
 
-        __return_0, __return_value_0 = (
-            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)))
+        __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 = paddle.fill_constant(
@@ -107,12 +106,10 @@ class StaticCode1():
         def false_fn_2(__return_1, __return_value_0):
             return __return_1, __return_value_0
 
-        __return_1, __return_value_0 = (
-            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)))
+        __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
 
 
@@ -133,7 +130,7 @@ class StaticCode2():
             x_v = x_v + 1
             return x_v
 
-        x_v = paddle.jit.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, ))
 
@@ -147,11 +144,10 @@ class StaticCode2():
         def false_fn_4(__return_2, __return_value_1):
             return __return_2, __return_value_1
 
-        __return_2, __return_value_1 = (
-            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)))
+        __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 = paddle.fill_constant(
@@ -162,12 +158,10 @@ class StaticCode2():
         def false_fn_5(__return_3, __return_value_1):
             return __return_3, __return_value_1
 
-        __return_3, __return_value_1 = (
-            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)))
+        __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,
-    #           paddle.jit.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
-        #   `paddle.jit.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 `paddle.jit.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 `paddle.jit.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 `paddle.jit.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 `paddle.jit.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/jit/__init__.py

@@ -23,7 +23,7 @@ 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 dygraph_to_static
+from . import dy2static
 
 __all__ = [
     'save', 'load', 'TracedLayer', 'to_static', 'ProgramTranslator',

python/paddle/jit/dygraph_to_static/__init__.py → python/paddle/jit/dy2static/__init__.py

@@ -15,6 +15,7 @@
 from __future__ import print_function
 
 from . import convert_operators
+from .convert_operators import *
 
 from . import convert_call_func
 from .convert_call_func import *
@@ -23,5 +24,6 @@ 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/dygraph_to_static/convert_operators.py → python/paddle/jit/dy2static/convert_operators.py

@@ -28,6 +28,6 @@ from ...fluid.dygraph.dygraph_to_static.convert_operators import convert_while_l
 __all__ = [
     'cast_bool_if_necessary', 'convert_assert', 'convert_ifelse', 'convert_len',
     'convert_logical_and', 'convert_logical_not', 'convert_logical_or',
-    'convert_logical_print', 'convert_var_dtype', 'convert_var_shape',
+    'convert_print', 'convert_var_dtype', 'convert_var_shape',
     'convert_while_loop'
 ]