Thanks a lot. By the way, in the case of torchvision/models/quantization/resnet.py, there is specified backend, “fbgemm”, On the other hand, in the case of torchvision/models/quantization/mobilenet.py, the specified backend is ‘qnnpack’. Because I am working on ARM processor, I have to exploit ‘qnnpack’ backend. Is there any different implementation methodology between ‘fbgemm’ and ‘qnnpack’?