code: def __init__(self, name):
      test_subtensor.TestAdvancedSubtensor.__init__(
          self,
          name,
          shared=gpuarray_shared_constructor,
          sub=GpuAdvancedSubtensor,
          mode=mode_with_gpu,
          # avoid errors with limited devices
          dtype="float16",  # floatX?
          ignore_topo=(HostFromGpu, GpuFromHost, DeepCopyOp),
      )
      # GPU opt can't run in fast_compile only.
      self.fast_compile = False
      assert self.sub == GpuAdvancedSubtensor
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import unittest
  import theano
  from theano import tensor
  from theano.compile import DeepCopyOp
  from theano.tensor.tests import test_subtensor, test_basic
  from theano.tests import unittest_tools
  from ..basic_ops import HostFromGpu, GpuFromHost, GpuContiguous
  from ..elemwise import GpuDimShuffle
  from ..subtensor import GpuIncSubtensor, GpuSubtensor, GpuAdvancedSubtensor1, GpuAdvancedSubtensor, GpuAdvancedBooleanSubtensor, GpuAdvancedIncSubtensor, GpuAdvancedIncSubtensor1, GpuAdvancedIncSubtensor1_dev20, GpuExtractDiag, GpuAllocDiag
  from ..type import gpuarray_shared_constructor
  from .config import mode_with_gpu, test_ctx_name
label_desc: Use image node_id 2 to create a new G_advancedsubtensorF16 object from inherited base classes: test_subtensor with example: obj = G_advancedsubtensorF16(name)