Accelerate Model Training with PyTorch 2.X

Table of Contents

1. Deconstructing the Training Process
2. Training Models Faster
3. Compiling the Model
4. Using Specialized Libraries
5. Building an Efficient Data Pipeline
6. Simplifying the Model
7. Adopting Mixed Precision
8. Distributed Training at a Glance
9. Training with Multiple CPUs
10. Training with Multiple GPUs
11. Training with Multiple Machines