code: def multiple_ins_run(out0, in0, in1, in2):
      for i in range(out0.shape[0]):
          for j in range(out0.shape[1]):
              out0[i][j][0] = in0[i][j]
              out0[i][j][1] = in1[i][j]
              out0[i][j][2] = in2[i][j]
  
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 38 for calling a global function with example usage: multiple_ins_run(out0, in0, in1, in2) without return types