Feature

Hi,
I am working at PaddlePaddle(chinese DL framework). We and other DL frameworks would extremely benefit from integrated bfloat16 numpy datatype. I have seen that TF added its own implementation and lately a standalone pip package bfloat16 was released.
I have also seen NEP 41, 42, 43 which from what I understand will allow adding new, user-defined datatypes. Are you guys planning to integrate bfloat16 into core numpy? If you don't have the bandwidth to do that, is there anyone that can guide me how to implement that so I can make a PR? And how are these NEPs going?