Appendix F: Useful PyTorch Code Templates
Abstract: Below is Appendix F: Useful PyTorch Code Templates , written as a complete and polished appendix for PyTorch book. It includes ready-to-use templates for models, datasets, training loops, evaluation, logging, and deployment—everything beginners and practitioners need. Appendix F: Useful PyTorch Code Templates This appendix provides ready-made, reusable code templates frequently used in PyTorch projects. These templates simplify development by offering standard structures for: Model definitions (MLP, CNN, RNN, Transformers) Custom datasets and dataloaders Training, validation, and testing loops Logging and checkpointing Inference and deployment Mixed precision training GPU/multi-GPU support ONNX export and TorchScript These code blocks can be directly copied into real-world PyTorch projects. F.1 Template: Basic Project Structure project/ │── data/ │── models/ │── utils/ │── train.py │── model.py │── dataset.py │── inference.py This...