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Module 2
Intro
1
📚 · Introduction to Ray Train
2
Imports
3
Define ResNet- Model for MNIST
4
Define the Ray Train Loop (DDP per-worker)
5
Define `train_loop_config`
6
Configure Scaling with `ScalingConfig`
7
Wrap the Model with `prepare_model()`
8
Build the DataLoader with `prepare_data_loader()`
9
Report Training Metrics
10
Save Checkpoints and Report Metrics
11
Create the `TorchTrainer`
12
Inspect the Training Results
13
Load a Checkpoint for Inference
14
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