Pytorch 2.1 compile mode supports fused kernels which updated the performance flag.
Is there any document to compare the performance with pytorch 2.1 compile mode . For example, 5 CNN models and 5 LLM models. It is better to have per layer compare.
In this way , developers can decide to move this software stack or not. Usually developers does not expect to benchmark before baseline data were available