code: def setUp(self):
      ndim = self.ndim
      dtype = self.dtype
      batches = 2
      in_channels_a_group = 3
      out_channels_a_group = 2
      in_channels = in_channels_a_group * self.groups
      out_channels = out_channels_a_group * self.groups
      # TODO(anaruse): increase test cases.
      ksize = 3
      stride = 2
      pad = ksize // stride * self.dilate
      self.strides = (stride,) * ndim
      self.pads = (pad,) * ndim
      self.dilations = (self.dilate,) * ndim
      self.x = cupy.zeros(
          (batches, in_channels) + (ksize,) * ndim, dtype
      )
      self.gy = cupy.zeros((batches, out_channels) + (2,) * ndim, dtype)
  
      self.gW = cupy.ones(
          (out_channels, in_channels_a_group) + (ksize,) * ndim, dtype
      )
  
      version = libcudnn.getVersion()
      deterministic = self.deterministic
      self.err = None
      if (self.dilate > 1 and version < 6000) or (
          self.groups > 1 and version < 7000
      ):
          self.err = ValueError
      elif deterministic and (
          (self.dilate > 1 and version < 7000)
          or (ndim > 2 and version < 6000)
          or (
              ndim > 2
              and self.dtype == numpy.float64
              and version < 8100
          )
      ):
          self.err = libcudnn.CuDNNError
      elif (
          8000 <= version < 8100
          and self.max_workspace_size == 0
          and int(cupy.cuda.device.get_compute_capability()) < 70
          and self.groups > 1
          and ndim > 2
          and self.dtype == numpy.float16
      ):
          self.err = RuntimeError
      _workspace_size = cudnn.get_max_workspace_size()
      cudnn.set_max_workspace_size(self.max_workspace_size)
      yield
      cudnn.set_max_workspace_size(_workspace_size)
  
imports: import sys
  import numpy
  import pytest
  import cupy
  import cupy.cuda.cudnn
  from cupy import testing
label_desc: Use image node_id 1 for calling the TestConvolutionBackwardFilter obj's underlying member method code with example usage: obj.setUp() without return types