code: def test_advinc_subtensor1():
      # Test the second case in the opt local_gpu_advanced_incsubtensor1
      for shp in [(3, 3), (3, 3, 3)]:
          shared = gpuarray_shared_constructor
          xval = (
              np.arange(np.prod(shp), dtype="float32").reshape(shp) + 1
          )
          yval = np.empty((2,) + shp[1:], dtype="float32")
          yval[:] = 10
          x = shared(xval, name="x")
          y = tensor.tensor(
              dtype="float32",
              broadcastable=(False,) * len(shp),
              name="y",
          )
          expr = tensor.advanced_inc_subtensor1(x, y, [0, 2])
          f = theano.function([y], expr, mode=mode_with_gpu)
          assert (
              sum(
                  [
                      isinstance(node.op, GpuAdvancedIncSubtensor1)
                      for node in f.maker.fgraph.toposort()
                  ]
              )
              == 1
          )
          rval = f(yval)
          rep = xval.copy()
          np.add.at(rep, [0, 2], yval)
          assert np.allclose(rval, rep)
  
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 1 for calling a global function with example usage: test_advinc_subtensor1() without return types