我想将 [0 255] 整数张量标准化为 [0 1] 浮点张量。
我使用 cifar10 数据集并想要处理整数图像张量。
所以当我加载数据集时，我将它们设为整数张量，我使用“transforms.ToTensor()”，因此值设置为 [0 1] float
tensor([[[0.4588, 0.4588, 0.4588, ..., 0.4980, 0.4980, 0.5020],
[0.4706, 0.4706, 0.4706, ..., 0.5098, 0.5098, 0.5137],
[0.4824, 0.4824, 0.4824, ..., 0.5216, 0.5216, 0.5294],
...,
[0.3098, 0.3020, 0.2863, ..., 0.4549, 0.3608, 0.3137],
[0.2902, 0.2902, 0.2902, ..., 0.4431, 0.3333, 0.3020],
[0.2706, 0.2941, 0.2941, ..., 0.4157, 0.3529, 0.3059]],
[[0.7725, 0.7725, 0.7725, ..., 0.7569, 0.7569, 0.7608],
[0.7765, 0.7765, 0.7765, ..., 0.7608, 0.7608, 0.7686],
[0.7765, 0.7765, 0.7765, ..., 0.7608, 0.7608, 0.7725],
...,
[0.6510, …