Added license information.

.gitignore

@@ -118,3 +118,5 @@ mnist_convnet_model/
 # Error and output files from the supercomputers
 *.er
 *.out
+
+horovod/keras/mnist_data_distributed.py

LICENSE

+All contents of this work, except for the contents of the "datasets/mnist"
+sub-directory are licensed under The MIT License (see license details below).
+Contents of the "datasets/mnist" sub-directory are licensed under the Creative
+Commons Attribution-ShareAlike 3.0 Unported License (see "datasets/mnist/LICENSE").
+
+MIT License
+
+Copyright (c) 2019 Forschungszentrum Juelich GmbH
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

NOTICE

+This project includes derived work from the following:
+
+
+Horovod
+Copyright 2018 Uber Technologies, Inc.
+
+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.
+
+
+Tensorflow
+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.
+
+
+Keras
+All contributions by François Chollet:
+Copyright (c) 2015 - 2019, François Chollet.
+All rights reserved.
+
+All contributions by Google:
+Copyright (c) 2015 - 2019, Google, Inc.
+All rights reserved.
+
+All contributions by Microsoft:
+Copyright (c) 2017 - 2019, Microsoft, Inc.
+All rights reserved.
+
+All other contributions:
+Copyright (c) 2015 - 2019, the respective contributors.
+All rights reserved.
+
+Licensed under The MIT License (MIT)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

datasets/mnist/LICENSE

+The mnist directory is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License.
+To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/ or send
+a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.

datasets/mnist/NOTICE

+The contents of the mnist directory are derived from the MNIST dataset:
+
+Yann LeCun (Courant Institute, NYU) and Corinna Cortes (Google Labs, New York)
+hold the copyright of MNIST dataset (http://yann.lecun.com/exdb/mnist), which is
+a derivative work from original NIST datasets. MNIST dataset is made available
+under the terms of the Creative Commons Attribution-Share Alike 3.0 license. The
+license details are available via the following URL:
+
+http://creativecommons.org/licenses/by-sa/3.0/
+
+Individual images and labels have not been changed in this work. The only changes
+made are to the dataset format.

horovod/keras/mnist.py

+# Copyright (c) 2019 Forschungszentrum Juelich GmbH.
+# This code is licensed under MIT license (see the LICENSE file for details).
+# This code is derived from https://github.com/horovod/horovod/blob/master/examples/keras_mnist.py,
+# which is licensed under the Apache License, Version 2.0 (see the NOTICE file for details).
+
 from __future__ import print_function
 import os
 import sys

horovod/keras/mnist_advanced.py

+# Copyright (c) 2019 Forschungszentrum Juelich GmbH.
+# This code is licensed under MIT license (see the LICENSE file for details).
+# This code is derived from https://github.com/horovod/horovod/blob/master/examples/keras_mnist_advanced.py,
+# which is licensed under the Apache License, Version 2.0 (see the NOTICE file for details).
+
+
 from __future__ import print_function
 import os
 import sys

horovod/tensorflow/mnist.py

-# Copyright 2017 Uber Technologies, Inc. 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.
-# ==============================================================================
+# Copyright (c) 2019 Forschungszentrum Juelich GmbH.
+# This code is licensed under MIT license (see the LICENSE file for details).
+# This code is derived from https://github.com/horovod/horovod/blob/master/examples/tensorflow_mnist.py,
+# which is licensed under the Apache License, Version 2.0 (see the NOTICE file for details).
 
 import os
 import sys

horovod/tensorflow/mnist_estimator.py

-#  Copyright 2018 Uber Technologies, Inc. All Rights Reserved.
-#  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.
+# Copyright (c) 2019 Forschungszentrum Juelich GmbH.
+# This code is licensed under MIT license (see the LICENSE file for details).
+# This code is derived from https://github.com/horovod/horovod/blob/master/examples/tensorflow_mnist_estimator.py,
+# which is licensed under the Apache License, Version 2.0 (see the NOTICE file for details).
+
 """Convolutional Neural Network Estimator for MNIST, built with tf.layers."""
 
 from __future__ import absolute_import

keras/mnist.py

+# Copyright (c) 2019 Forschungszentrum Juelich GmbH.
+# This code is licensed under MIT license (see the LICENSE file for details).
+# This code is derived from https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py,
+# which is also licensed under The MIT License (see the NOTICE file for details).
+
+
 """Trains a simple convnet on the MNIST dataset.
 
 Gets to 99.25% test accuracy after 12 epochs

requirements.txt

+absl-py==0.8.0
+astor==0.8.0
+cffi==1.12.3
+cloudpickle==1.2.1
+gast==0.3.1
+grpcio==1.23.0
+h5py==2.10.0
+Markdown==3.1.1
+mock==3.0.5
+mpi4py==3.0.2
+numpy==1.17.2
+protobuf==3.9.1
+psutil==5.6.3
+pycparser==2.19
+six==1.12.0
+Werkzeug==0.15.6
+Keras-Applications==1.0.8
+Keras-Preprocessing==1.1.0
+tensorboard==1.13.1
+tensorflow-estimator==1.13.0
+tensorflow-gpu==1.13.1
+termcolor==1.1.0
+keras==2.3.1
+horovod==0.16.2
\ No newline at end of file

tensorflow/mnist.py

-# Copyright 2015 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.
-# ==============================================================================
+# Copyright (c) 2019 Forschungszentrum Juelich GmbH.
+# This code is licensed under MIT license (see the LICENSE file for details).
+# This code is derived from https://github.com/tensorflow/models/blob/master/tutorials/image/mnist/convolutional.py,
+# which is licensed under the Apache License, Version 2.0 (see the NOTICE file for details).
 
 """Simple, end-to-end, LeNet-5-like convolutional MNIST model example.
 

utils/data_utils.py

+# Copyright (c) 2019 Forschungszentrum Juelich GmbH.
+# This code is licensed under MIT license (see the LICENSE file for details).
+
 """
     A collections of utilities for data manipulation.