test_data，迭代数据集，并为每个图像单独添加一个唯一的标签。
test_loader，遍历数据加载器，并使用add_images将整批图像添加为网格。

import torchvision
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
test_data = torchvision.datasets.CIFAR10(root="../torvision/dataset_test", train=False, transform=torchvision.transforms.ToTensor())
test_loader = DataLoader(test_data, batch_size=64, shuffle=False, num_workers=0, drop_last=False)
writer = SummaryWriter("loader_log")
# Add images from the test_data one by one
for i, (img, target) in enumerate(test_data):
    writer.add_image(f"test_data/{i}", img, i)
# Add images from the test_loader as batches
for i, (batch_img, batch_target) in enumerate(test_loader):
    writer.add_images("test_loader", batch_img, i)
writer.close()