code: def test_convolution_transpose2d(
      self,
      height,
      width,
      in_channels,
      out_channels,
      kernel_size,
      stride,
      padding,
      dilation,
      backend,
      groups=1,
  ):
      model = nn.ConvTranspose2d(
          in_channels=in_channels,
          out_channels=out_channels,
          kernel_size=kernel_size,
          stride=stride,
          padding=padding,
          dilation=dilation,
      )
      run_compare_torch(
          (1, in_channels, height, width), model, backend=backend
      )
  
imports: import sys
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.testing_reqs import *
  from .testing_utils import *
label_desc: Use image node_id 2 for calling the TestConv obj's underlying member method code with example usage: obj.test_convolution_transpose2d(height, width, in_channels, out_channels, kernel_size, stride, padding, dilation, backend, groups) without return types