pytorch-core

Features and purpose

Core PyTorch fundamentals including tensor operations, autograd, nn.Module architecture, and training loop orchestration. Covers optimizations like pin_memory and lazy module initialization. (pytorch, tensor, autograd, nn.Module, optimizer, training loop, state_dict, pin_memory, lazylinear, requires_grad)

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.