The issue doesn’t seem to be PyTorch related so you might get a better and faster answer in e.g. StackOverflow.
In any case, if I understand your use case correctly, you would like to iterate he numpy arrays, which works fine:
n = np.random.randn(112, 55, 55) 
e = np.random.randn(112, 55)

for n_ in n:
    print(n_)
    
for e_ in e:
    print(e_)