Google Developers Blog says Arm built open-source adapters that extend Google AI Edge Model Explorer to custom compiler representations including TOSA, VGF, and PTE. The integrations can expose unintended operators, compare CPU and NPU-delegated graphs side by side, and overlay cycle-level profiling traces onto execution graphs. Arm said it used these workflows to find an extra TRANSPOSE regression and identify a TRANSPOSE node as the main latency bottleneck in an Ethos-U test.