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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/06/10 22:55:04 UTC

[GitHub] [incubator-mxnet] thomelane commented on a change in pull request #15158: [TUTORIAL] Add multiple GPUs training tutorial

thomelane commented on a change in pull request #15158: [TUTORIAL] Add multiple GPUs training tutorial
URL: https://github.com/apache/incubator-mxnet/pull/15158#discussion_r292215949
 
 

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 File path: docs/tutorials/gluon/multi_gpu.md
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+# Multiple GPUs training with Gluon API
+
+In this tutorial we will walk through how one can train deep learning neural networks on multiple GPUs within a single machine. This tutorial focuses on data parallelism oppose to model parallelism. The latter is not supported by Apache MXNet out of the box, and one have to manually route the data among different devices to achieve model parallelism. Check out [model parallelism tutorial](https://mxnet.incubator.apache.org/versions/master/faq/model_parallel_lstm.html) to learn more about it.
+Here we will focus on implementing data parallel training for a convolutional neural network LeNet.
+
+## Prerequisites
+
+- Two or more GPUs 
+- Cuda 9 or higher
 
 Review comment:
   Same comments as @vishaalkapoor in Float16 tutorial

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