26 lines
775 B
Python
26 lines
775 B
Python
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import torchvision
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from torch.utils.data import DataLoader
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from torch.utils.tensorboard import SummaryWriter
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# 准备的测试数据集
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test_data = torchvision.datasets.CIFAR10("./dataset", train=False, transform=torchvision.transforms.ToTensor())
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test_loader = DataLoader(dataset=test_data, batch_size=64, shuffle=True, num_workers=0, drop_last=True)
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# 测试数据集中第一张图片以及target
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img, target = test_data[0]
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print(test_data.classes)
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print(img.shape)
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print(target)
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writer = SummaryWriter("dataloader")
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for epoch in range(2):
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step = 0
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for data in test_loader:
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imgs, targets = data
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# print(imgs.shape)
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# print(targets)
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writer.add_images("Epoch: {}".format(epoch), imgs, step)
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step = step + 1
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writer.close()
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