code: def test_deconvolution_repr(self):
      layer = layers.Deconvolution((3, 3, 10), name="deconv")
      self.assertEqual(
          str(layer),
          (
              "Deconvolution((3, 3, 10), padding='VALID', stride=(1, 1), "
              "weight=HeNormal(gain=2), bias=Constant(0), name='deconv')"
          ),
      )
  
imports: import random
  from itertools import product
  from collections import namedtuple
  import numpy
  import tensorflow
  from neupy import layers
  from neupy.utils import asfloat, shape_to_tuple
  from neupy.layers.convolutions import conv_output_shape, deconv_output_shape
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 9 for calling the DeconvolutionTestCase obj's underlying member method code with example usage: obj.test_deconvolution_repr() without return types