code: def test_rrelu(self):
      import lasagne
  
      input_shape = (3, 28)
      input = np.random.randn(*input_shape).astype(theano.config.floatX)
  
      l_in = lasagne.layers.input.InputLayer(input_shape)
      l_dense = lasagne.layers.dense.DenseLayer(l_in, num_units=100)
      l_rrelu = lasagne.layers.rrelu(l_dense)
      output = lasagne.layers.get_output(l_rrelu, input)
  
      assert l_dense.nonlinearity == lasagne.nonlinearities.identity
  
      W = l_dense.W.get_value()
      b = l_dense.b.get_value()
      self.assert_between(l_rrelu, np.dot(input, W) + b, output.eval())
  
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 9 for calling the TestRandomizedRectifierLayer obj's underlying member method code with example usage: obj.test_rrelu() without return types