code: def test_squeezenet_architecture(self):
      squeezenet = architectures.squeezenet()
      self.assertShapesEqual(
          squeezenet.input_shape, (None, 227, 227, 3)
      )
      self.assertShapesEqual(squeezenet.output_shape, (None, 1000))
  
      random_input = asfloat(np.random.random((7, 227, 227, 3)))
      prediction = self.eval(squeezenet.output(random_input))
      self.assertEqual(prediction.shape, (7, 1000))
  
imports: import numpy
  from neupy.utils import asfloat
  from neupy import architectures
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the SqueezenetTestCase obj's underlying member method code with example usage: obj.test_squeezenet_architecture() without return types