code: def test_atleast3d_execution(setup):
      x = 1
      y = ones(3, chunk_size=2)
      z = ones((3, 4), chunk_size=2)
  
      t = atleast_3d(x, y, z)
  
      res = [i.execute().fetch() for i in t]
  
      np.testing.assert_array_equal(res[0], np.atleast_3d(x))
      np.testing.assert_array_equal(res[1], np.atleast_3d(np.ones(3)))
      np.testing.assert_array_equal(
          res[2], np.atleast_3d(np.ones((3, 4)))
      )
  
imports: import numpy
  import scipy.sparse
  import pandas
  import pytest
  from ....None import dataframe
  from ....None import tensor
  from ....None import execute, fetch
  from ....tests.core import require_cupy
  from ...datasource import tensor, ones, zeros, arange
  from ..None import copyto, transpose, moveaxis, broadcast_to, broadcast_arrays, where, expand_dims, rollaxis, atleast_1d, atleast_2d, atleast_3d, argwhere, array_split, split, hsplit, vsplit, dsplit, roll, squeeze, diff, ediff1d, flip, flipud, fliplr, repeat, tile, isin, searchsorted, unique, sort, argsort, partition, argpartition, topk, argtopk, trapz, shape, to_gpu, to_cpu, swapaxes
label_desc: Use image node_id 15 for calling a global function with example usage: test_atleast3d_execution(setup) without return types