indhub opened a new pull request #10568: [WIP] [MXNET-325] Model parallelism 
tutorial.
URL: https://github.com/apache/incubator-mxnet/pull/10568
 
 
   ## Description ##
   
   I'm working on a tutorial to show how model parallelism can be done in 
Gluon. The tutorial builds a stacked LSTM with different LSTM layers on 
different GPUs (like described in 
[this](https://mxnet.incubator.apache.org/faq/model_parallel_lstm.html) 
tutorial). The code borrows from 
[this](http://gluon.mxnet.io/chapter05_recurrent-neural-networks/rnns-gluon.html)
 gluon tutorial and makes it model parallel.
   
   This is a Work In Progress. Before I write a tutorial around this code, I 
wanted to get the approach reviewed to make sure this is the correct way to do 
model parallelism in Gluon.
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [x] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to 
the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) 
created (except PRs with tiny changes)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   

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