code: def input_data(self, rng):
      channels = 15
      rows = 3
      cols = 4
      batch_size = 2
      shape = (batch_size, channels, rows, cols)
      return rng.randn(*shape).astype(theano.config.floatX)
  
imports: from mock import Mock
  import numpy
  import pytest
  import theano
label_desc: Use image node_id 2 for calling the TestLocalResponseNormalization2DLayer obj's underlying member method code with example usage: obj.input_data(rng) and returns: rng