train函数

rain函数

def get_acc(output，label):

total = e[0]

_，pred_label = (1)

return (pred_label == label)()()/total

def train(net，train_data，valid_data，num_epochs，optimizer，criterion):

if _available():

net = ()

time0 = ()

for epoch in range(num_epochs):

train_loss = 0

train_acc = 0

net = n()

time1 = ()

for im，label i