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+# Copyright 2016 The TensorFlow 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.
+# ==============================================================================
+"""A typed list in Python."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from tensorflow.python.framework import ops
+from tensorflow.python.ops import list_ops
+from tensorflow.python.ops import tensor_array_ops
+
+
+def dynamic_list_append(target, element):
+ """Converts a list append call inline."""
+ if isinstance(target, tensor_array_ops.TensorArray):
+ return target.write(target.size(), element)
+ # TODO(mdan): What's the right way to check this?
+ # TODO(mdan): We may not need this branch.
+ # It may be possible to use TensorList alone if the loop body will not
+ # require wrapping it, although we'd have to think about an autoboxing
+ # mechanism for lists received as parameter.
+ if isinstance(target, ops.Tensor):
+ return list_ops.tensor_list_push_back(target, element)
+
+ # Python targets (including TensorList): fallback to their original append.
+ target.append(element)
+ return target
+
+
+class TensorList(object):
+ """Tensor list wrapper API-compatible with Python built-in list."""
+
+ def __init__(self, shape, dtype):
+ self.dtype = dtype
+ self.shape = shape
+ self.clear()
+
+ def append(self, value):
+ self.list_ = list_ops.tensor_list_push_back(self.list_, value)
+
+ def pop(self):
+ self.list_, value = list_ops.tensor_list_pop_back(self.list_, self.dtype)
+ return value
+
+ def clear(self):
+ self.list_ = list_ops.empty_tensor_list(self.shape, self.dtype)
+
+ def count(self):
+ return list_ops.tensor_list_length(self.list_)
+
+ def __getitem__(self, key):
+ return list_ops.tensor_list_get_item(self.list_, key, self.dtype)
+
+ def __setitem__(self, key, value):
+ self.list_ = list_ops.tensor_list_set_item(self.list_, key, value)