Enhance vjp/jvp/Jacobian/Hessian API for supporting dynamic, static graph and batched, unbatched mode

python/paddle/autograd/__init__.py

@@ -1,24 +1,30 @@
 # Copyright (c) 2021 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 ..fluid.dygraph.base import grad  # noqa: F401
+from ..fluid.dygraph.base import no_grad_ as no_grad  # noqa: F401
+from ..framework import is_grad_enabled, set_grad_enabled  # noqa: F401
 from . import backward_mode  # noqa: F401
 from .backward_mode import backward  # noqa: F401
 from .py_layer import PyLayer, PyLayerContext, EagerPyLayer, EagerPyLayerContext  # noqa: F401
 from ..framework import set_grad_enabled, is_grad_enabled  # noqa: F401
 from ..fluid.dygraph.base import no_grad_ as no_grad  # noqa: F401
-from .functional import jacobian, hessian, batch_jacobian, batch_hessian  # noqa: F401
-from .functional import vjp, jvp, vhp  # noqa: F401
+from .functional import vjp, jvp, Jacobian, Hessian  # noqa: F401
+from .functional import jacobian, hessian, batch_jacobian, batch_hessian, vhp  # noqa: F401
 
-__all__ = ['backward', 'PyLayer', 'PyLayerContext']
+__all__ = [  # noqa
+    'backward',
+    'PyLayer',
+    'PyLayerContext',
+]