code: def test_elementwise_in_network(self):
      network = layers.join(
          layers.Input(2),
          layers.parallel(
              layers.Relu(1, weight=1, bias=0),
              layers.Relu(1, weight=2, bias=0),
          ),
          layers.Elementwise("add"),
      )
      self.assertShapesEqual(network.input_shape, (None, 2))
      self.assertShapesEqual(network.output_shape, (None, 1))
  
      test_input = asfloat(np.array([[0, 1], [-1, -1]]))
      actual_output = self.eval(network.output(test_input))
      expected_output = np.array([[3, 0]]).T
      np.testing.assert_array_almost_equal(
          expected_output, actual_output
      )
  
file_path: neupy/tests/layers/test_merge.py
imports: import tensorflow
  import numpy
  from neupy import layers
  from neupy.utils import asfloat
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 3 for calling the ElementwiseTestCase obj's underlying member method code with example usage: obj.test_elementwise_in_network() without return types