old_contents: import pytest
  from keras.utils.test_utils import keras_test
  from keras import applications
  from keras import backend as K
  
  
  @keras_test
  def test_vgg16():
      model = applications.VGG16(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  def test_vgg16_notop():
      model = applications.VGG16(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 512)
  
  
  @keras_test
  def test_vgg16_pooling():
      model = applications.VGG16(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 512)
  
  
  @keras_test
  def test_vgg19():
      model = applications.VGG19(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  def test_vgg19_notop():
      model = applications.VGG16(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 512)
  
  
  @keras_test
  def test_vgg19_pooling():
      model = applications.VGG16(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 512)
  
  
  @keras_test
  @pytest.mark.skipif((K.backend() != 'tensorflow'),
                      reason='Requires tensorflow backend')
  def test_xception():
      model = applications.Xception(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  @pytest.mark.skipif((K.backend() != 'tensorflow'),
                      reason='Requires tensorflow backend')
  def test_xception_notop():
      model = applications.Xception(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 2048)
  
  
  @keras_test
  @pytest.mark.skipif((K.backend() != 'tensorflow'),
                      reason='Requires tensorflow backend')
  def test_xception_pooling():
      model = applications.Xception(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 2048)
  
  
  @keras_test
  def test_inceptionv3():
      model = applications.InceptionV3(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  def test_inceptionv3_notop():
      model = applications.InceptionV3(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 2048)
  
  
  @keras_test
  def test_inceptionv3_pooling():
      model = applications.InceptionV3(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 2048)
  
  
  if __name__ == '__main__':
      pytest.main([__file__])
  
new_contents: import pytest
  from keras.utils.test_utils import keras_test
  from keras import applications
  from keras import backend as K
  
  
  @keras_test
  def test_resnet50():
      model = applications.ResNet50(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  def test_resnet50_notop():
      model = applications.ResNet50(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 2048)
  
  
  @keras_test
  def test_resnet50_pooling():
      model = applications.ResNet50(weights=None,
                                    include_top=False,
                                    pooling='avg')
      assert model.output_shape == (None, 2048)
  
  
  @keras_test
  def test_vgg16():
      model = applications.VGG16(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  def test_vgg16_notop():
      model = applications.VGG16(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 512)
  
  
  @keras_test
  def test_vgg16_pooling():
      model = applications.VGG16(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 512)
  
  
  @keras_test
  def test_vgg19():
      model = applications.VGG19(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  def test_vgg19_notop():
      model = applications.VGG16(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 512)
  
  
  @keras_test
  def test_vgg19_pooling():
      model = applications.VGG16(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 512)
  
  
  @keras_test
  @pytest.mark.skipif((K.backend() != 'tensorflow'),
                      reason='Requires tensorflow backend')
  def test_xception():
      model = applications.Xception(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  @pytest.mark.skipif((K.backend() != 'tensorflow'),
                      reason='Requires tensorflow backend')
  def test_xception_notop():
      model = applications.Xception(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 2048)
  
  
  @keras_test
  @pytest.mark.skipif((K.backend() != 'tensorflow'),
                      reason='Requires tensorflow backend')
  def test_xception_pooling():
      model = applications.Xception(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 2048)
  
  
  @keras_test
  def test_inceptionv3():
      model = applications.InceptionV3(weights=None)
      assert model.output_shape == (None, 1000)
  
  
  @keras_test
  def test_inceptionv3_notop():
      model = applications.InceptionV3(weights=None, include_top=False)
      assert model.output_shape == (None, None, None, 2048)
  
  
  @keras_test
  def test_inceptionv3_pooling():
      model = applications.InceptionV3(weights=None, include_top=False, pooling='avg')
      assert model.output_shape == (None, 2048)
  
  
  if __name__ == '__main__':
      pytest.main([__file__])
  
subject: Add resnet50 test.