code: def split_images_col_sample(out0, out1, out2, in0):
      for i in range(in0.shape[0]):
          for j in range(in0.shape[1]):
              out0[i][j] = in0[i][j][0]
              out1[i][j] = in0[i][j][1]
              out2[i][j] = in0[i][j][2]
  
imports: import numpy
  import os
  from nvidia.dali import pipeline_def
  import nvidia.dali
  import nvidia.dali.fn
  import nvidia.dali.types
  from nose import with_setup
  from test_utils import get_dali_extra_path, to_array, check_numba_compatibility_cpu, check_numba_compatibility_gpu
  from nvidia.dali.plugin.numba.fn.experimental import numba_function
  from numba import cuda
label_desc: Use image node_id 31 for calling a global function with example usage: split_images_col_sample(out0, out1, out2, in0) without return types