code: def test_get_output_for(self, invlayer_vars):
      from lasagne.layers.helper import get_output
  
      invlayer = invlayer_vars["invlayer"]
      layer = invlayer_vars["layer"]
      W = layer.W.get_value()
      input = theano.shared(np.random.rand(*layer.input_shape))
      results = get_output(invlayer, inputs=input)
  
      # Check that the output of the invlayer is the output of the
      # dot product of the output of the dense layer and the
      # transposed weights
      assert np.allclose(
          results.eval(), np.dot(np.dot(input.get_value(), W), W.T)
      )
  
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 4 for calling the TestInverseLayer obj's underlying member method code with example usage: obj.test_get_output_for(invlayer_vars) without return types