code: def tcase(self, i, f, s, b, flip, provide_shape, fd=(1, 1, 1)):
      mode = self.mode
      o = self.get_output_shape(i, f, s, b, fd)
      self.run_fwd(
          inputs_shape=i,
          filters_shape=f,
          subsample=s,
          verify_grad=True,
          mode=mode,
          provide_shape=provide_shape,
          border_mode=b,
          filter_flip=flip,
          target_op=(
              GpuCorr3dMM,
              GpuCorr3dMM_gradWeights,
              GpuCorr3dMM_gradInputs,
          ),
          filter_dilation=fd,
      )
      self.run_gradweight(
          inputs_shape=i,
          filters_shape=f,
          output_shape=o,
          subsample=s,
          verify_grad=True,
          mode=mode,
          provide_shape=provide_shape,
          border_mode=b,
          filter_flip=flip,
          target_op=GpuCorr3dMM_gradWeights,
          filter_dilation=fd,
      )
      self.run_gradinput(
          inputs_shape=i,
          filters_shape=f,
          output_shape=o,
          subsample=s,
          verify_grad=True,
          mode=mode,
          provide_shape=provide_shape,
          border_mode=b,
          filter_flip=flip,
          target_op=GpuCorr3dMM_gradInputs,
          filter_dilation=fd,
      )
  
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 2 for calling the TestCorrMMConv3d obj's underlying member method code with example usage: obj.tcase(i, f, s, b, flip, provide_shape, fd) without return types