32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
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## MNIST Examples
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Here are two MNIST classifiers implemented in PyTorch.
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The first one is implemented in pure PyTorch, but isn't easy to scale.
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The second one is using [Lightning Fabric](https://pytorch-lightning.readthedocs.io/en/stable/starter/lightning_fabric.html) to accelerate and scale the model.
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#### 1. Image Classifier with Vanilla PyTorch
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Trains a simple CNN over MNIST using vanilla PyTorch. It only supports singe GPU training.
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```bash
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# CPU
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python image_classifier_1_pytorch.py
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```
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______________________________________________________________________
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#### 2. Image Classifier with Lightning Fabric
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This script shows you how to scale the pure PyTorch code to enable GPU and multi-GPU training using [Lightning Fabric](https://pytorch-lightning.readthedocs.io/en/stable/starter/lightning_fabric.html).
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```bash
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# CPU
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lightning run model image_classifier_2_fabric.py
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# GPU (CUDA or M1 Mac)
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lightning run model image_classifier_2_fabric.py --accelerator=gpu
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# Multiple GPUs
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lightning run model image_classifier_2_fabric.py --accelerator=gpu --devices=4
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```
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