I’m a beginner and I have a project where I need to quantize models using pytorch. I managed to find a way to quantize a resnet model but it seems like it doesn’t work on a Swin Tranformer model since this model has a different architecture. Has anyone any ideas on how to quantize a Swin transformer model?
Basically, I was trying to apply the quantization aware training technique on a swin transformer model(Inspired by this work: PyTorch Quantization Aware Training - Lei Mao's Log Book ) since it gives better accuracy than other techniques. However, Swin transformer has totally a different architecture, so it doesn’t work obviously on a Swin model.