What is the role of Inductor in torch.compile architecture?

TorchInductor is the backend compiler that generates optimized kernels from captured graphs.

After TorchDynamo captures Python execution into FX graphs, TorchInductor lowers them into low-level loop-based kernels (Triton/CUDA). It performs fusion, memory planning, and vectorization to maximize hardware utilization.