Jiawei Li

@artyom-beil​​is Hi, I will get back to you tomorrow, sorry for the inconvenience as I'm a bit busy lately.

> From my point of view it was mostly implementing operators - while biggest problem was to understand which are required, basic and what conditions are required - sometimes lack...

> Regarding code-gen - do you mean automatic kernel code generation or building operators in terms of other operators? As for codegen, it will generate a lot of codes according...

> Pool was probably the trickiest part to implement and still it is sub-optimal in terms of memory allocation. But still there are many interesting points to consider that aren't...

@albanD, sorry to bother you again. It seems that you are working on accelerator diversity in PyTorch, and perhaps this project could help you accelerate this goal, can you scan...

Our extreme goal is that new backend can be integrated into PyTorch smoothly by implementing some APIs and structures related with specific backend without considering any detailed stuff related to...