其中optimizer不需要转换 首先定义 1device = t.device('cuda:0') 将model和criterion to(device) 1#cuda2model =model.to(device)3criterion = criterion.to(device) 再将43行的inputs、target,46行的outputs to(device)到GPU上训练 1deftrain(epoch):2running_loss = 0.03forbatch_idx, datainenumerate(tr...
pytorch中如何将CPU上运⾏的数据模型转到GPU上运⾏（mnist 举例）⾸先贴⼀份在cpu上运⾏的代码 1import torch 2from torchvision import transforms 3from torchvision import datasets 4from torch.utils.data import DataLoader 5import torch.nn.functional as F 6import torch.optim as optim 7 8 batch_...