code: def test_defaults(
      self, DummyInputLayer, input, kernel, output, kwargs
  ):
      from lasagne.layers import DilatedConv2DLayer
  
      b, c, h, w = input.shape
      input_layer = DummyInputLayer((b, c, h, w))
      layer = DilatedConv2DLayer(
          input_layer,
          num_filters=kernel.shape[0],
          filter_size=kernel.shape[2:],
          W=kernel.transpose(1, 0, 2, 3),
          **kwargs,
      )
      actual = layer.get_output_for(theano.shared(input)).eval()
      assert actual.shape == output.shape
      assert actual.shape == layer.output_shape
      assert np.allclose(actual, output)
  
imports: import numpy
  import pytest
  import importlib
  import theano
  from theano import tensor
  import lasagne
  from lasagne.utils import floatX, as_tuple
label_desc: Use image node_id 1 for calling the TestDilatedConv2DLayer obj's underlying member method code with example usage: obj.test_defaults(DummyInputLayer, input, kernel, output, kwargs) without return types