How torch.compile Optimizes PyTorch Models with Dynamo and Inductor

Published 3 November 2026

torch.compile uses Dynamo to capture operations, AOT Autograd to prepare forward and backward graphs, and Inductor to generate optimized hardware code. Speedups depend on graph breaks, input-shape changes that trigger recompilation, kernel fusion, and accurate measurement of compilation versus steady-state execution.