Annexure 7: PyTorch Templates and Boilerplates for All Common Tasks.
Abstract: Below is the complete Annexure 7: PyTorch Templates and Boilerplates for All Common Tasks . **ANNEXURE 7 PyTorch Templates and Boilerplates for All Common Tasks** This annexure provides practical, ready-to-use templates for every major task performed in PyTorch—including data loading, model building, training loops, evaluation, saving/loading models, visualization, and deployment. These templates are designed to be directly copy-paste ready for academic projects, production workflow, and fast prototyping. 1. Standard PyTorch Project Structure A clean and reusable project folder format: project/ │── data/ │── models/ │── utils/ │── train.py │── inference.py │── requirements.txt 2. Template: Device Configuration import torch device = torch.device("cuda" if torch.cuda.is_available() else "cpu") print("Using device:", device) 3. Template: Dataset & DataLoader 3.1 Custom Dataset Template from torch.utils.data import Da...