Now, data from trainloader seems to be correct, it looks like this
d tensor([[-0.5081, -0.6468, -0.6676,  …,  0.2078,  0.2027,  0.2055],
[-1.2508, -1.1893, -1.3128,  …,  8.4809,  8.6478,  8.4245],
[ 0.6323,  0.5460,  0.6442,  …, -0.2325, -0.2392, -0.2345],
…,
[-0.0174,  0.0557,  0.2380,  …, -0.3327, -0.3175, -0.3333],
[-0.6470, -0.6476, -0.5937,  …, -0.3838, -0.3793, -0.3828],
[ 0.1735,  0.2239,  0.2804,  …, -0.1445, -0.1382, -0.1391]])
t tensor([0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1,
1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1,
1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1,
1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1,
1, 0, 0, 1])
…
But why NN not learning anything?