Automatic differentiation from scratch: how PyTorch computes gradients for physics-informed neural networks
Read the original at arxiv.org→arXiv:2607.13042v1 Announce Type: new Abstract: This paper traces, with explicit numerical values, how PyTorch's automatic differentiation (AD) engine computes gradients for Physics-Informed Neural Network (PINN)...
Original headline: "Automatic Differentiation from Scratch: How PyTorch Computes Gradients in Physics-Informed Neural Networks"
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- Jul 16, 04:00 UTC arXiv cs.LG lead source Automatic Differentiation from Scratch: How PyTorch Computes Gradients in Physics-Informed Neural Networks