chore: import upstream snapshot with attribution

python/paddle/autograd/__init__.py

@@ -0,0 +1,44 @@
+# 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 ..base.dygraph.base import (  # noqa: F401
+    enable_grad,
+    grad,
+    inference_mode,
+    is_grad_enabled,
+    no_grad_ as no_grad,
+    set_grad_enabled,
+)
+from . import (  # noqa: F401
+    backward_mode,
+    function,
+    grad_mode,
+    ir_backward,
+)
+from .autograd import hessian, jacobian
+from .backward_mode import backward
+from .py_layer import PyLayer, PyLayerContext
+from .saved_tensors_hooks import saved_tensors_hooks
+
+Function = PyLayer
+
+__all__ = [
+    'jacobian',
+    'hessian',
+    'backward',
+    'PyLayer',
+    'Function',
+    'PyLayerContext',
+    'saved_tensors_hooks',
+]