关于Pytorch中Dataset与Dataloader的报错

根据教程复现的代码，想通过Pytorch读取Excel中的数据并转为Tensor，结果就报错，也找不到原因

问题相关代码，请勿粘贴截图

class ExcelDataset(Dataset):

def __int__(self):
    train = pd.read_excel("卫星PCAtrain.xlsx",dtype=np.float32)
    print(f"the shape of dataframe is {train.shape}")
    x_train = train.iloc[:, :-1].values
    y_train = train.iloc[:, -1].values
    self.x_train = torch.from_numpy(x_train)
    self.y_train = torch.from_numpy(y_train)

def __len__(self):
    return len(self.y_train)

def __getitem__(self, index):
    return self.x_train[index],self.y_train[index]

if name == 'main':
excel_dataset = ExcelDataset()
excel_dataloader = DataLoader(dataset=excel_dataset, batch_size=8, shuffle=True,num_workers=2)

运行结果及报错内容

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