code: def test_predict_new_model(self):
      input_value = np.random.random((7, 4))
  
      network = layers.Input(4) >> layers.Relu(5)
      output_value = network.predict(input_value)
  
      self.assertEqual(output_value.shape, (7, 5))
  
imports: import copy
  import numpy
  import tensorflow
  from neupy import layers, algorithms, init
  from neupy.utils import asfloat
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 2 for calling the LayersBasicsTestCase obj's underlying member method code with example usage: obj.test_predict_new_model() without return types