告密者的下场

X[index,0:36]

t=torch.tensor(t).view(6,6)

returnt,self.data_dict_y[index]

def__len__(self):

returnlen(self.data_dict_y)

classTestDataSet(Dataset):

def__init__(self):

super(TestDataSet,self).__init__()

self.data_dict_X=X_validate

self.data_dict_y=y_validate

def__getitem__(self,index):

t=self.data_dict_X[index,0:36]

t=torch.tensor(t).view(6,6)

returnt,self.data_dict_y[index]

def__len__(self):

returnlen(self.data_dict_y)

defcnn_classification():

batch_size=256

trainDataLoader=DataLoader(TrainingDataSet(),batch_size=batch_size,shuffle=False)

testDataLoader=DataLoader(TestDataSet(),batch_size=batch_size,shuffle=False)

epoch_num=200

#lr=0.001

lr=0.001

net=VGGBaseSimpleS2().to(device)

print(net)

#loss

loss_func=

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