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
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