code: def test_array_gpu_execution(setup_gpu):
      raw = cupy.random.rand(20, 30)
      t = tensor(raw, dtype="f8", chunk_size=10)
  
      res = t.execute().fetch()
      expected = raw.astype("f8")
      cupy.testing.assert_array_equal(res, expected)
  
imports: import tempfile
  import shutil
  import os
  import time
  import numpy
  import pandas
  import pytest
  from ....None import tensor
  from ....None import dataframe
  from ....lib.sparse import SparseNDArray
  from ....tests.core import require_cupy
  from ....utils import lazy_import
  from ...lib import nd_grid
  from ..None import tensor, ones_like, zeros, zeros_like, full, full_like, arange, empty, empty_like, diag, diagflat, eye, linspace, meshgrid, indices, triu, tril, from_dataframe, fromtiledb, fromhdf5, fromzarr
label_desc: Use image node_id 1 for calling a global function with example usage: test_array_gpu_execution(setup_gpu) without return types