Sorry for miscommunication.
See here:
I want mean 0 and std 2.
So I do this, right?:

transform = transforms.Compose(
    [transforms.ToTensor(),
     transforms.Normalize([0.0, 0.0, 0.0], [2.0, 2.0, 2.0])
    ])

should not this function gives me the mean 0 and std 2 for each of the channels?
but the output is this:
print('Images size is: {} and it has min and max of {} and {}, \n\n \
      1st channel is {}\n \
      min and max of the 1st channel is {} and {} \n \n \
      2st channel is {}\n \
      min and max of the 2st channel is {} and {} \n \n \
      3rd channel is {} \n \
      min and max of the 3st channel is {} and {} \n' \
      .format(images.size(), torch.mean(images), torch.std(images),\
              images[0,0,:,:], torch.mean(images[0,0,:,:]), torch.std(images[0,0,:,:]),\
              images[0,1,:,:], torch.mean(images[0,1,:,:]), torch.std(images[0,1,:,:]),\
              images[0,2,:,:], torch.mean(images[0,2,:,:]), torch.std(images[0,2,:,:]),\
             ) )


Images size is: torch.Size([1, 3, 32, 32]) and it has min and max of 0.169625080517 and 0.124045148048,
   1st channel is 

0.1490  0.1490  0.1490  …   0.1333  0.1314  0.1275
0.1098  0.1098  0.1118  …   0.1000  0.1000  0.0961
0.0745  0.0745  0.0765  …   0.0725  0.0706  0.0686
…             ⋱             …
0.0078  0.0118  0.0118  …   0.0059  0.0020  0.0039
0.0098  0.0118  0.0176  …   0.0020  0.0000  0.0039
0.0784  0.0765  0.0843  …   0.0784  0.0725  0.0765
[torch.FloatTensor of size 32x32]
   min and max of the 1st channel is 0.139309515976 and 0.135508642984 

   2st channel is 

0.1745  0.1745  0.1765  …   0.1588  0.1569  0.1510
0.1392  0.1392  0.1412  …   0.1294  0.1294  0.1216
0.1098  0.1098  0.1098  …   0.1078  0.1059  0.0980
…             ⋱             …
0.0235  0.0294  0.0275  …   0.0176  0.0118  0.0118
0.0255  0.0275  0.0353  …   0.0118  0.0098  0.0098
0.0902  0.0902  0.0961  …   0.0843  0.0804  0.0824
[torch.FloatTensor of size 32x32]
   min and max of the 2st channel is 0.162101719105 and 0.123755085234 

   3rd channel is 

0.2588  0.2569  0.2569  …   0.2412  0.2392  0.2216
0.2216  0.2216  0.2216  …   0.2098  0.2118  0.1922
0.1902  0.1882  0.1882  …   0.1863  0.1863  0.1667
…             ⋱             …
0.1020  0.1059  0.1059  …   0.0902  0.0843  0.0745
0.0863  0.0863  0.0961  …   0.0686  0.0667  0.0588
0.1275  0.1255  0.1333  …   0.1176  0.1137  0.1098
[torch.FloatTensor of size 32x32]
   min and max of the 3st channel is 0.207464006471 and 0.100518621594 


I am confused