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+# Copyright 2018 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.
+# ==============================================================================
+"""Apache Ignite is a memory-centric distributed database, caching, and
+ processing platform for transactional, analytical, and streaming workloads,
+ delivering in-memory speeds at petabyte scale. This contrib package
+ contains an integration between Apache Ignite and TensorFlow. The
+ integration is based on tf.data from TensorFlow side and Binary Client
+ Protocol from Apache Ignite side. It allows to use Apache Ignite as a
+ datasource for neural network training, inference and all other
+ computations supported by TensorFlow. Ignite Dataset is based on Apache
+ Ignite Binary Client Protocol:
+ https://apacheignite.readme.io/v2.6/docs/binary-client-protocol.
+
+@@IgniteDataset
+"""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from tensorflow.contrib.ignite.python.ops.ignite_dataset_ops \
+import IgniteDataset
+
+from tensorflow.python.util.all_util import remove_undocumented
+
+_allowed_symbols = [
+ "IgniteDataset",
+]
+
+remove_undocumented(__name__)