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[doc] simple readability and style changes (dmlc#965)
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john-andrilla authored and yzh119 committed Nov 1, 2019
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FAQ
===

Trouble Shooting
Troubleshooting
----------------

DGL is still in its alpha stage, so expect some trial and error. Keep in mind that
DGL is a framework atop other frameworks (e.g. Pytorch, MXNet), so it is important
to figure out whether the bug is due to DGL or the backend framework. For example,
Deep Graph Library (DGL) is still in its alpha stage, so expect some trial and error. Keep in mind that
DGL is a framework atop other frameworks, e.g., PyTorch, MXNet, so it is important
to figure out whether a bug is due to DGL or the backend framework. For example,
DGL will usually complain and throw a ``DGLError`` if anything goes wrong. If you
are pretty confident that it is a bug, feel free to raise an issue.


Out-of-memory
-------------

Graph can be very large and training on graph may cause OOM. There are several
Graph can be very large and training on graph may cause out of memory (OOM) errors. There are several
tips to check when you get an OOM error.

* Try to avoid propagating node features to edges. Number of edges are usually
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