self.total],dtype=torch.float64,device='cuda')# 装入tensor来使用PyTorch分布式框架的同步功能dist.barrier()# 等待整组的所有进程都进入这个函数dist.all_reduce(t)# all reduce这个值,让所有进程的这个值都得到最终结果t=t.tolist()# 转回listself.count=int(t[0])...
Pitch PyTorch-Lightning should give me the possibility to define the metrics of my model in some way such that any logger is able to derive which metric may be used for hyperparameter validation, as well as other possible characteristics which may be defined for those. Additional context The h...