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HPC4NS
dl_on_supercomputers
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66fcb392
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66fcb392
authored
3 years ago
by
Fahad Khalid
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Updated to use Tensorflow2
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@@ -18,7 +18,7 @@ limitations under the License.
Tensorflow
Copyright 201
6
The TensorFlow Authors. All rights reserved.
Copyright 201
9
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.
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Keras
All contributions by François Chollet:
Copyright (c) 2015 - 2019, François Chollet.
All rights reserved.
Copyright 2015 The TensorFlow Authors. 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:
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
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
http://www.apache.org/licenses/LICENSE-2.0
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.
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.
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training_data_distribution/README.md
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# Introduction
This example distributes the partitioned MNIST data across multiple ranks
for truly data distributed training of a shallow A
NN for handwritten digit
classification.
for truly data distributed training of a shallow A
rtificial Neural Network for
handwritten digit
classification.
The Horovod framework is used for seamless distributed training. However,
instead of distributing epochs, this example distributes data amongst the
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