[Dy2Stat] Transforme api 'to_tensor' to 'assign'. (#26873)

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

@@ -16,9 +16,7 @@ import astor
 import gast
 
 from paddle.fluid.dygraph.dygraph_to_static.static_analysis import AstNodeWrapper
-from paddle.fluid.dygraph.dygraph_to_static.utils import is_dygraph_api, is_to_variable
-from paddle.fluid.dygraph.dygraph_to_static.utils import to_assign_node, to_static_ast, update_args_of_func
-from paddle.fluid.dygraph.dygraph_to_static.utils import dygraph_class_to_static_api
+from paddle.fluid.dygraph.dygraph_to_static import utils
 
 
 class BasicApiTransformer(gast.NodeTransformer):
@@ -56,7 +54,7 @@ class BasicApiTransformer(gast.NodeTransformer):
             if isinstance(child_node, gast.Call):
                 # TODO(liym27):
                 #  Considers that a dygraph api which modifies the input or has a output.
-                if is_dygraph_api(child_node):
+                if utils.is_dygraph_api(child_node):
                     return
                 else:
                     self._visit_Call(child_node)
@@ -73,7 +71,7 @@ class BasicApiTransformer(gast.NodeTransformer):
 
         if self._is_dygraph_forward(func_name):
             class_node = self._get_class_node(func_name)
-            static_node = to_static_ast(node, class_node)
+            static_node = utils.to_static_ast(node, class_node)
             return static_node
         else:
             return node
@@ -91,14 +89,51 @@ class BasicApiTransformer(gast.NodeTransformer):
             if is_to_variable(node_value):
                 return False
 
-            if is_dygraph_api(node_value):
+            if utils.is_dygraph_api(node_value):
                 dygraph_api = node_value.func.attr
-                if not dygraph_class_to_static_api.get(dygraph_api):
+                if not utils.dygraph_class_to_static_api.get(dygraph_api):
                     return False
 
-                update_args_of_func(node_value, node_value, "__init__")
+                utils.update_args_of_func(node_value, node_value, "__init__")
                 target_str = astor.to_source(gast.gast_to_ast(node.targets[0]))
                 self.class_node_dict[target_str] = node_value
                 return True
             # TODO: node.value is not dygraph class
         return False
+
+
+def is_to_variable(node):
+    assert isinstance(node, gast.Call)
+    api_name = utils.ast_to_source_code(node.func).strip()
+
+    if utils.is_dygraph_api(node):
+        return api_name.endswith("to_variable")
+
+    if utils.is_paddle_api(node):
+        return api_name.endswith("to_tensor")
+
+    return False
+
+
+def to_assign_node(node):
+    # Transform dygraph api `fluid.dygraph.to_variable` alias `paddle.to_tensor` to static api `fluid.layers.assign`.
+    # NOTE:
+    #   1. Api `to_variable` supports data type {float16, float32, float64, int16, int32, int64, uint8, uint16},
+    #   but api `assign` only supports {float32, float64, int32, int64, bool};
+    #   2. If the input of api `assign` is numpy.ndarray, its size cannot be greater than 1024 * 1024.
+
+    assert isinstance(node, gast.Call)
+    assign_api = gast.parse('fluid.layers.assign').body[0].value
+    node.func = assign_api
+
+    if node.args:
+        node.args = [node.args[0]]
+        node.keywords = []
+    else:
+        for idx, kw in enumerate(node.keywords):
+            if kw.arg == 'value' or kw.arg == 'data':
+                node.keywords[idx].arg = 'input'
+                node.keywords = [node.keywords[idx]]
+                node.args = []
+                break
+    return node

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

@@ -136,9 +136,12 @@ def is_api_in_module(node, module_prefix):
         #  import_str = "".join(import_statements)
         import paddle
         import paddle.fluid as fluid
+        import paddle.fluid.dygraph as dygraph
         import paddle.fluid.layers as layers
+
         from paddle.fluid.dygraph import to_variable
-        import paddle.fluid.dygraph as dygraph
+        from paddle import to_tensor
+
         return eval("_is_api_in_module_helper({}, '{}')".format(func_str,
                                                                 module_prefix))
     except NameError:
@@ -146,15 +149,18 @@ def is_api_in_module(node, module_prefix):
 
 
 def is_dygraph_api(node):
+
     # Note: A api in module dygraph_to_static is not a real dygraph api.
     if is_api_in_module(node, "paddle.fluid.dygraph.dygraph_to_static"):
         return False
 
+    # TODO(liym27): A better way to determine whether it is a dygraph api.
+    #  Consider the decorator @dygraph_only
     return is_api_in_module(node, "paddle.fluid.dygraph")
 
 
 def is_paddle_api(node):
-    return is_api_in_module(node, "paddle.fluid")
+    return is_api_in_module(node, "paddle")
 
 
 # Is numpy_api cannot reuse is_api_in_module because of numpy module problem
@@ -233,14 +239,6 @@ def _add_keywords_to(node, dygraph_api_name):
     return
 
 
-def is_to_variable(node):
-    assert isinstance(node, gast.Call)
-    if is_dygraph_api(node):
-        api_name = ast_to_source_code(node.func).strip()
-        return api_name.endswith("to_variable")
-    return False
-
-
 def to_static_ast(node, class_node):
     assert isinstance(node, gast.Call)
     assert isinstance(class_node, gast.Call)
@@ -268,29 +266,6 @@ def to_static_ast(node, class_node):
     return node
 
 
-def to_assign_node(node):
-    # Transform dygraph api `fluid.dygraph.to_variable` to static api `fluid.layers.assign`.
-    # NOTE:
-    #   1. Api `to_variable` supports data type {float16, float32, float64, int16, int32, int64, uint8, uint16},
-    #   but api `assign` only supports {float32, float64, int32, int64, bool};
-    #   2. If the input of api `assign` is numpy.ndarray, its size cannot be greater than 1024 * 1024.
-    assert isinstance(node, gast.Call)
-    assign_api = gast.parse('fluid.layers.assign').body[0].value
-    node.func = assign_api
-
-    if node.args:
-        node.args = [node.args[0]]
-        node.keywords = []
-    else:
-        for idx, kw in enumerate(node.keywords):
-            if kw.arg == 'value':
-                node.keywords[idx].arg = 'input'
-                node.keywords = [node.keywords[idx]]
-                node.args = []
-                break
-    return node
-
-
 def update_args_of_func(node, dygraph_node, method_name):
     assert isinstance(node, gast.Call)
     if method_name not in ["__init__", "forward"]:

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

@@ -19,9 +19,11 @@ import unittest
 import inspect
 import gast
 
+import paddle
 import paddle.fluid as fluid
 import paddle.fluid.dygraph as dygraph
 
+from paddle import to_tensor
 from paddle.fluid.dygraph import to_variable
 from paddle.fluid.dygraph.jit import dygraph_to_static_func
 from paddle.fluid.dygraph.dygraph_to_static.utils import is_dygraph_api
@@ -45,11 +47,19 @@ def dyfunc_to_variable_3(x):
     return res
 
 
+def dyfunc_to_tensor(x):
+    res1 = paddle.to_tensor(x, dtype=None, place=None, stop_gradient=True)
+    res2 = paddle.tensor.to_tensor(data=res1)
+    res3 = to_tensor(data=res2)
+    return res3
+
+
 class TestDygraphBasicApi_ToVariable(unittest.TestCase):
     def setUp(self):
         self.input = np.ones(5).astype("int32")
         self.test_funcs = [
-            dyfunc_to_variable, dyfunc_to_variable_2, dyfunc_to_variable_3
+            dyfunc_to_tensor, dyfunc_to_variable, dyfunc_to_variable_2,
+            dyfunc_to_variable_3
         ]
         self.place = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda(
         ) else fluid.CPUPlace()

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

-#   Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#   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.