tensordataset 和dataloader取值

测试1

from torch.utils.data import TensorDataset,DataLoader
import numpy as np 
import torch 

a = np.array([[1,2,3],[2,3,3],[1,1,2],[10,10,10],[100,200,200],[-1,-2,-3]])
print(a)

X = torch.FloatTensor(a)
print(X)

dataset =TensorDataset(X,X)

测试2

from torch.utils.data import TensorDataset,DataLoader
import numpy as np 
import torch 

a = np.array([[1,2,3],[2,3,3],[1,1,2],[10,10,10],[100,200,200],[-1,-2,-3]])
print(a)

X = torch.FloatTensor(a)
print(X)

dataset =TensorDataset(X,X)

dataloader = DataLoader(dataset,batch_size=4)