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  • MNIST 数据加载

    import numpy as np
    from matplotlib import pyplot as plt
    from torchvision import datasets, transforms
    
    def softmax_t(x, t):
        x_exp = np.exp(x /t)
        return x_exp / np.sum(x_exp)
    
    DATA = datasets.MNIST('dengyexun', train=False, download=False, transform=transforms.Compose([transforms.ToTensor(), transforms.Normalize((0.1307,),(0.3081,))]))
    # 生成一个数据data_loader
    test_loader_bs1 = torch.utils.data.DataLoader(DATA, batch_size=1, shuffle=True)
    print(DATA)
    print(test_loader_bs1)
    # 封装成一个迭代器
    print(iter(test_loader_bs1))
    # 取迭代器中的数据
    print(next(iter(test_loader_bs1)))

    随取随用

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  • 原文地址:https://www.cnblogs.com/demo-deng/p/12394921.html
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