PyTorch Cheatsheet

Skip to content PyTorch Cheatsheet Get Notion free PyTorch Cheatsheet This assumes prior experience with PyTorch or related frameworks. The content is presented in a dense manner so that it can serve as a quick reference. Readers are encouraged to run the code themselves to get a better understanding. AI was heavily involved in some sections. However, AI still doesn't have a strong understanding of niche PyTorch behaviors, so I have had to make many corrections. I welcome any feedback about inaccuracies or suggestions for general improvements. Tensor Creation Tensor Fundamentals Einsum / Einops Model Creation Training and Evaluation Data Handling Model Management Advanced Modeling Learning Rate Scheduling from torch.optim.lr_scheduler import * # Built-in schedulers optimizer = torch.optim.Adam(model.parameters(), lr=0.001) scheduler = StepLR(optimizer, step_size=30, gamma=0.1) scheduler = ExponentialLR(optimizer, gamma=0.95) scheduler = CosineAnnealingLR(optimizer, T_max=100, eta_min

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• Ali Ahmad