code: def invlayer_vars(self):
      from lasagne.layers.dense import DenseLayer
      from lasagne.layers.input import InputLayer
      from lasagne.layers.special import InverseLayer
      from lasagne.nonlinearities import identity
  
      l_in = InputLayer(shape=(10, 12))
  
      layer = DenseLayer(
          l_in,
          num_units=3,
          b=None,
          nonlinearity=identity,
      )
  
      invlayer = InverseLayer(incoming=layer, layer=layer)
  
      return {
          "layer": layer,
          "invlayer": invlayer,
      }
  
imports: from mock import Mock
  import numpy
  import pytest
  import theano
  from lasagne.layers import InputLayer, standardize, get_output, get_all_params
  from lasagne.utils import floatX
label_desc: Use image node_id 1 for calling the TestInverseLayer obj's underlying member method code with example usage: obj.invlayer_vars() and returns: dict