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William Falcon
2019-11-06 15:08:12 -05:00
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@@ -825,8 +825,8 @@ You would define a single LightningModule and use flags to switch between your d
<ol>
<li><a href="https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/#minimal-example">MNIST LightningModule</a> </li>
<li><a href="https://williamfalcon.github.io/pytorch-lightning/Trainer/">Trainer</a><ul>
<li><a href="https://github.com/williamFalcon/pytorch-lightning/tree/master/examples/basic_examples">Basic CPU, GPU Trainer Template</a> </li>
<li><a href="https://github.com/williamFalcon/pytorch-lightning/tree/master/examples/multi_node_examples">GPU cluster Trainer Template</a></li>
<li><a href="https://github.com/williamFalcon/pytorch-lightning/tree/master/pl_examples/basic_examples">Basic CPU, GPU Trainer Template</a></li>
<li><a href="https://github.com/williamFalcon/pytorch-lightning/tree/master/pl_examples/multi_node_examples">GPU cluster Trainer Template</a></li>
</ul>
</li>
</ol>
@@ -866,6 +866,7 @@ You would define a single LightningModule and use flags to switch between your d
</ul>
<h6 id="distributed-training">Distributed training</h6>
<ul>
<li><a href="https://williamfalcon.github.io/pytorch-lightning/Trainer/hooks/#init_ddp_connection">Implement Your Own Distributed (DDP) training</a></li>
<li><a href="https://williamfalcon.github.io/pytorch-lightning/Trainer/Distributed%20training/#16-bit-mixed-precision">16-bit mixed precision</a></li>
<li><a href="https://williamfalcon.github.io/pytorch-lightning/Trainer/Distributed%20training/#Multi-GPU">Multi-GPU</a></li>
<li><a href="https://williamfalcon.github.io/pytorch-lightning/Trainer/Distributed%20training/#Multi-node">Multi-node</a></li>
@@ -963,7 +964,7 @@ You would define a single LightningModule and use flags to switch between your d
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