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#### Testing loop
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- [Run test set](https://williamfalcon.github.io/pytorch-lightning/Trainer/Testing%20loop/)
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## Demo
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```bash
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# install lightning
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pip install pytorch_lightning
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# clone lightning for the demo
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git clone https://github.com/williamFalcon/pytorch-lightning.git
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cd pytorch-lightning
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cd examples/new_project_templates/
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# all of the following demos use the SAME model to show no modification needs to be made to your code
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# train on cpu
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python single_cpu_template.py
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# train on multiple-gpus
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python single_gpu_node_template.py --gpus "0,1"
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# train on 32 gpus on a cluster (run on a SLURM managed cluster)
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python multi_node_cluster_template.py --nb_gpu_nodes 4 --gpus '0,1,2,3,4,5,6,7'
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```
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## Examples
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- [GAN](https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/templates/gan.py)
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- [MNIST](https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/#minimal-example)
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- [Other projects using Lightning](https://github.com/williamFalcon/pytorch-lightning/network/dependents?package_id=UGFja2FnZS0zNzE3NDU4OTM%3D)
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- [Multi-node](https://github.com/williamFalcon/pytorch-lightning/tree/master/examples/new_project_templates/multi_node_examples)
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## Tutorials
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- [Basic Lightning use](https://towardsdatascience.com/supercharge-your-ai-research-with-pytorch-lightning-337948a99eec)
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