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_r292215985
########## File path: docs/tutorials/gluon/multi_gpu.md ########## @@ -0,0 +1,194 @@ +<!--- Licensed to the Apache Software Foundation (ASF) under one --> +<!--- or more contributor license agreements. See the NOTICE file --> +<!--- distributed with this work for additional information --> +<!--- regarding copyright ownership. The ASF licenses this file --> +<!--- to you 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. --> + +# 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: CUDA and CuDNN ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
