code: def setUp(self):
      self.input = gpu_ftensor4()
      self.filters = gpu_ftensor4()
      self.topgrad = gpu_ftensor4()
      self.constant_tensor = gpuarray.array(
          np.zeros((3, 5, 7, 11), dtype="float32"),
          context=get_context(test_ctx_name),
      )
  
imports: from __future__ import absolute_import, print_function, division
  from nose.plugins.skip import SkipTest
  from nose.tools import assert_raises
  import numpy
  from theano.tensor.nnet.tests import test_abstract_conv
  from ..type import GpuArrayType, gpuarray_shared_constructor, get_context
  from ..dnn import dnn_available, GpuDnnConv, GpuDnnConvGradW, GpuDnnConvGradI
  from ..blas import GpuCorrMM, GpuCorrMM_gradWeights, GpuCorrMM_gradInputs, GpuCorr3dMM, GpuCorr3dMM_gradWeights, GpuCorr3dMM_gradInputs
  from .config import mode_with_gpu, test_ctx_name
  from pygpu import gpuarray
label_desc: Use image node_id 1 for calling the TestDnnConvTypes obj's underlying member method code with example usage: obj.setUp() without return types