告密者的下场

nn.CrossEntropyLoss()

#optimizer

optimizer=torch.optim.Adam(net.parameters(),lr=lr)

#optimizer=torch.optim.SGD(net.parameters(),lr=lr,momentum=0.9,weight_decay=5e-4)

scheduler=torch.optim.lr_scheduler.StepLR(optimizer,step_size=5,gamma=0.9)

ifnotos.path.exists(“logCNN“):

os.mkdir(“logCNN“)

writer=tensorboardX.SummaryWriter(“logCNN“)

forepochinrange(epoch_num):

train_sum_loss=0

train_sum_correct=0

train_sum_fp=0

train_sum_fn=0

train_sum_tp=0

train_sum_tn=0

fori,datainenumerate(trainDataLoader):

net.train()

inputs,labels=data

inputs=inputs.unsqueeze(1).to(torch.float32)

labels=labels.type(torch.LongTensor)

inputs,labels=inputs.to(device),labels.to(device)

outputs=net(inputs)

loss=loss_func(outputs,labels)

optimizer.zero_grad()

l

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