I currently do np.append to combine with two array, but it can’t work, it shows:

ValueError: all the input array dimensions except for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 64 and the array at index 1 has size 0

Here’s my code

weights_block_32_0 = weights_block_32[0][0:block_size]

print(weights_block_32_0)
print(weights_block_32[0][block_size * (i+1):block_size * (i+2)])

for i in range(count - 1):
    weights_block_32_0 = np.append(weights_block_32_0, weights_block_32[0][block_size * (i+1):block_size * (i+2)], 1)

output

[[-0.11692056 -0.21988727 -0.2782506  ... -0.20971598 -0.358836
   0.365253  ]
 [-0.1029752  -0.05929758 -0.14116701 ... -0.11534233 -0.01058054
   0.10387182]
 [ 0.21475197  0.4043065   0.01345642 ...  0.04622769  0.21393798
  -0.12899256]
 ...
 [ 0.08888344 -0.04325306  0.02912059 ...  0.09227641 -0.0109155
  -0.09982339]
 [ 0.0463181   0.04997677  0.07291862 ... -0.04850281 -0.04819945
  -0.02194837]
 [-0.06676714  0.02217779  0.06599618 ... -0.06789055  0.00419611
   0.09231257]]
[]


ValueError: all the input array dimensions except for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 64 and the array at index 1 has size 0