code: def test_conv_wrapper(backend_default):
      """
      Verify that the Conv wrapper constructs the right layer objects.
      """
      conv = Conv((4, 4, 3), Uniform())
      assert isinstance(conv, list)
      assert len(conv) == 1
      assert isinstance(conv[0], Convolution)
  
      conv = Conv((4, 4, 3), Uniform(), bias=Uniform())
      assert isinstance(conv, list)
      assert len(conv) == 1
      assert isinstance(conv[0], Convolution_bias)
  
      conv = Conv((4, 4, 3), Uniform(), activation=Rectlin())
      assert isinstance(conv, list)
      assert len(conv) == 2
      assert isinstance(conv[0], Convolution)
      assert isinstance(conv[1], Activation)
  
      conv = Conv(
          (4, 4, 3), Uniform(), bias=Uniform(), activation=Rectlin()
      )
      assert isinstance(conv, list)
      assert isinstance(conv[0], Convolution_bias)
      assert isinstance(conv[1], Activation)
      assert len(conv) == 2
  
imports: from neon.initializers.initializer import Uniform
  from neon.transforms.activation import Rectlin
  from neon.layers.layer import Linear, Convolution, Convolution_bias, Conv, Bias, Activation, Affine
label_desc: Use image node_id 1 for calling a global function with example usage: test_conv_wrapper(backend_default) without return types