[Dy2stat] Change the Global Switch Name of ProgramTranslator for API 2.0 (#27203)

Change ProgramTranslator.enable_declarative to ProgramTranslator.enable_to_static to meet API 2.0

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

@@ -246,7 +246,7 @@ class StaticLayer(object):
         self._function_spec = FunctionSpec(function, input_spec)
         self._program_cache = ProgramCache()
         self._descriptor_cache = weakref.WeakKeyDictionary()
-        # Note: Hold a reference to ProgramTranslator for switching `enable_declarative`.
+        # Note: Hold a reference to ProgramTranslator for switching `enable_to_static`.
         self._program_trans = ProgramTranslator()
 
     def __get__(self, instance, owner):
@@ -299,16 +299,17 @@ class StaticLayer(object):
         """
 
         # 1. call dygraph function directly if not enable `declarative`
-        if not self._program_trans.enable_declarative:
+        if not self._program_trans.enable_to_static:
             logging_utils.warn(
-                "The decorator '@paddle.jit.to_static' does NOT work when setting ProgramTranslator.enable=False. "
-                "We will just return dygraph output.")
+                "The decorator '@paddle.jit.to_static' does NOT work when setting ProgramTranslator.enable to False. "
+                "We will just return dygraph output. If you would like to get static graph output, please call API "
+                "ProgramTranslator.enable(True)")
             return self._call_dygraph_function(*args, **kwargs)
 
-        if not in_dygraph_mode() and self._program_trans.enable_declarative:
+        if not in_dygraph_mode():
             raise RuntimeError(
                 "Failed to run the callable object {} decorated by '@paddle.jit.to_static', "
-                "because it does NOT in dynamic mode. Please disable the static mode to enter dynamic mode with the "
+                "because it is NOT in dynamic mode. Please disable the static mode to enter dynamic mode with the "
                 "following API: paddle.disable_static().".format(
                     self.dygraph_function))
 
@@ -723,15 +724,15 @@ class ProgramTranslator(object):
             return
         self._initialized = True
         self._program_cache = ProgramCache()
-        self.enable_declarative = True
+        self.enable_to_static = True
 
-    def enable(self, enable_declarative):
+    def enable(self, enable_to_static):
         """
         Enable or disable the converting from imperative to declarative by
         ProgramTranslator globally.
 
         Args:
-            enable_declarative (bool): True or False to enable or disable declarative.
+            enable_to_static (bool): True or False to enable or disable declarative.
 
         Returns:
             None.
@@ -760,9 +761,9 @@ class ProgramTranslator(object):
                 print(func(x).numpy()) # [[2. 2.]]
 
         """
-        check_type(enable_declarative, "enable_declarative", bool,
+        check_type(enable_to_static, "enable_to_static", bool,
                    "ProgramTranslator.enable")
-        self.enable_declarative = enable_declarative
+        self.enable_to_static = enable_to_static
 
     def get_output(self, dygraph_func, *args, **kwargs):
         """
@@ -803,10 +804,12 @@ class ProgramTranslator(object):
         assert callable(
             dygraph_func
         ), "Input dygraph_func is not a callable in ProgramTranslator.get_output"
-        if not self.enable_declarative:
+        if not self.enable_to_static:
             warnings.warn(
-                "The ProgramTranslator.get_output doesn't work when setting ProgramTranslator.enable = False. "
-                "We will just return dygraph output.")
+                "The ProgramTranslator.get_output doesn't work when setting ProgramTranslator.enable to False. "
+                "We will just return dygraph output. "
+                "Please call ProgramTranslator.enable(True) if you would like to get static output."
+            )
             return dygraph_func(*args, **kwargs)
         try:
             function_spec = FunctionSpec(dygraph_func)
@@ -876,10 +879,11 @@ class ProgramTranslator(object):
         assert callable(
             dygraph_func
         ), "Input dygraph_func is not a callable in ProgramTranslator.get_func"
-        if not self.enable_declarative:
+        if not self.enable_to_static:
             warnings.warn(
-                "The ProgramTranslator.get_func doesn't work when setting ProgramTranslator.enable=False. We will "
-                "just return dygraph output.")
+                "The ProgramTranslator.get_func doesn't work when setting ProgramTranslator.enable to False. We will "
+                "just return dygraph output. Please call ProgramTranslator.enable(True) if you would like to get static output."
+            )
             return dygraph_func
 
         static_func = convert_to_static(dygraph_func)
@@ -929,10 +933,12 @@ class ProgramTranslator(object):
         assert callable(
             dygraph_func
         ), "Input dygraph_func is not a callable in ProgramTranslator.get_program"
-        if not self.enable_declarative:
+        if not self.enable_to_static:
             warnings.warn(
-                "The ProgramTranslator.get_program doesn't work when setting ProgramTranslator.enable=False."
-                "We will just return dygraph output.")
+                "The ProgramTranslator.get_program doesn't work when setting ProgramTranslator.enable to False."
+                "We will just return dygraph output. "
+                "Please call ProgramTranslator.enable(True) if you would like to get static output."
+            )
             return dygraph_func(*args, **kwargs)
 
         function_spec = FunctionSpec(dygraph_func)

python/paddle/fluid/dygraph/jit.py

@@ -119,7 +119,7 @@ def _dygraph_to_static_func_(dygraph_func):
     # TODO: remove this decorator after we finalize training API
     def __impl__(*args, **kwargs):
         program_translator = ProgramTranslator()
-        if in_dygraph_mode() or not program_translator.enable_declarative:
+        if in_dygraph_mode() or not program_translator.enable_to_static:
             warnings.warn(
                 "The decorator 'dygraph_to_static_func' doesn't work in "
                 "dygraph mode or set ProgramTranslator.enable to False. "
@@ -832,9 +832,9 @@ def save(layer, model_path, input_spec=None, config=None):
 
     # 1. input check
     prog_translator = ProgramTranslator()
-    if not prog_translator.enable:
+    if not prog_translator.enable_to_static:
         raise RuntimeError(
-            "The paddle.jit.save doesn't work when setting ProgramTranslator.enable=False."
+            "The paddle.jit.save doesn't work when setting ProgramTranslator.enable to False."
         )
     if not isinstance(layer, Layer):
         raise TypeError(

python/paddle/hapi/model.py

@@ -1680,7 +1680,7 @@ class Model(object):
 
         # TODO:
         # 1. Make it Unnecessary to run model before calling `save_inference_model` for users in dygraph.
-        # 2. Save correct shape of input, now the interface stores the shape that the user sent to 
+        # 2. Save correct shape of input, now the interface stores the shape that the user sent to
         #    the inputs of the model in running.
         # 3. Make it Unnecessary to add `@paddle.jit.to_static` for users in dynamic mode.
         if fluid.in_dygraph_mode():
@@ -1689,9 +1689,9 @@ class Model(object):
 
                 # 1. input check
                 prog_translator = ProgramTranslator()
-                if not prog_translator.enable_declarative:
+                if not prog_translator.enable_to_static:
                     raise RuntimeError(
-                        "save_inference_model doesn't work when setting ProgramTranslator.enable=False."
+                        "save_inference_model doesn't work when setting ProgramTranslator.enable to False."
                     )
                 if not isinstance(layer, Layer):
                     raise TypeError(
@@ -1902,8 +1902,8 @@ class Model(object):
                 assert isinstance(spec, Input)
                 if spec.name is None:
                     raise ValueError(
-                        "Requires Input[{}].name != None, but receive `None` with {}.".
-                        format(i, spec))
+                        "Requires Input[{}].name != None, but receive `None` with {}."
+                        .format(i, spec))
 
         return out_specs