torch之dataloader
import torchvision
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
test_data = torchvision.datasets.CIFAR10(root="./dataset", train=False, transform=torchvision.transforms.ToTensor(),download=True)
test_loader = DataLoader(dataset=test_data, batch_size=64, shuffle=False, num_workers=0, drop_last=True)
img, targets = test_data[0]
print(img.shape)
print(targets)
writer = SummaryWriter("logs")
for epoch in range(2):
step = 0
for data in test_loader:
imgs, targets = data
writer.add_images("Epoch:{}".format(epoch), imgs, step)
step += 1
writer.close()