code: def test_transfer_cpu_gpu():
      a = T.fmatrix("a")
      g = GpuArrayType(dtype="float32", broadcastable=(False, False))(
          "g"
      )
  
      av = np.asarray(rng.rand(5, 4), dtype="float32")
      gv = gpuarray.array(av, context=get_context(test_ctx_name))
  
      f = theano.function([a], GpuFromHost(test_ctx_name)(a))
      fv = f(av)
      assert GpuArrayType.values_eq(fv, gv)
  
      f = theano.function([g], host_from_gpu(g))
      fv = f(gv)
      assert np.all(fv == av)
  
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 5 for calling a global function with example usage: test_transfer_cpu_gpu() without return types