code: def test_to_cpu():
      x = tensor(np.random.rand(10, 10), chunk_size=3, gpu=True)
  
      cx = to_cpu(x)
  
      assert cx.dtype == x.dtype
      assert cx.order == x.order
      assert cx.op.gpu is False
  
      cx, x = tile(cx, x)
  
      assert cx.chunks[0].dtype == x.chunks[0].dtype
      assert cx.chunks[0].order == x.chunks[0].order
      assert cx.chunks[0].op.gpu is False
  
imports: import numpy
  import pytest
  from ....core import tile
  from ....core.operand import OperandStage
  from ...datasource import ones, tensor, arange
  from ..None import transpose, broadcast_to, where, argwhere, array_split, split, squeeze, result_type, repeat, copyto, isin, moveaxis, TensorCopyTo, atleast_1d, atleast_2d, atleast_3d, ravel, searchsorted, unique, sort, partition, topk, to_gpu, to_cpu
label_desc: Use image node_id 20 for calling a global function with example usage: test_to_cpu() without return types