code: def setUp(self):
      super(G_Join_and_Split, self).setUp()
      self.mode = mode_with_gpu.excluding("constant_folding")
      self.join_op = GpuJoin()
      self.split_op_class = GpuSplit
      # Use join instead of MakeVector since there is no MakeVector on GPU
      self.make_vector_op = GpuJoin()
      # this is to avoid errors with limited devices
      self.floatX = "float32"
      self.hide_error = theano.config.mode not in [
          "DebugMode",
          "DEBUG_MODE",
      ]
  
      def shared(x, **kwargs):
          return gpuarray_shared_constructor(
              x, target=test_ctx_name, **kwargs
          )
  
      self.shared = shared
  
imports: from __future__ import absolute_import, print_function, division
  import unittest
  from theano.compat import izip
  from six import iteritems
  import numpy
  import theano
  import theano.tensor
  from theano.tensor import TensorType
  from theano.tensor.basic import alloc
  from theano.tensor.tests import test_basic
  from theano.tensor.tests.test_basic import rand, safe_make_node
  from theano.tests import unittest_tools
  from ..type import GpuArrayType, get_context, gpuarray_shared_constructor
  from ..basic_ops import host_from_gpu, HostFromGpu, GpuFromHost, GpuReshape, GpuToGpu, GpuAlloc, GpuAllocEmpty, GpuContiguous, gpu_join, GpuJoin, GpuSplit, GpuEye, GpuTri, gpu_contiguous
  from ..elemwise import GpuDimShuffle, GpuElemwise
  from ..subtensor import GpuSubtensor
  from .config import mode_with_gpu, mode_without_gpu, test_ctx_name
  from pygpu import gpuarray
label_desc: Use image node_id 1 for calling the G_Join_and_Split obj's underlying member method code with example usage: obj.setUp() and returns: gpuarray_shared_constructor