docstr: Check correct result regardless of whether default arg is provided.
docstr_tok: ["Check","correct","result","regardless","of","whether","default","arg","is","provided","."]
code: def test_default_args_have_correct_outputs(self):
      """Check correct result regardless of whether default arg is provided."""
      test_layer = self.TestLayerDefaults()
      # Arg inputs.
      outputs_1 = test_layer(self.x, self.x)
      outputs_2 = test_layer(self.x)
      self.assertOutputsEqual(outputs_1, outputs_2)
  
      # Dict inputs.
      outputs_1 = test_layer({"x1": self.x, "x2": self.x})
      outputs_2 = test_layer({"x1": self.x})
      self.assertOutputsEqual(outputs_1, outputs_2)
  
imports: from absl.testing import parameterized
  from ddsp.training import nn
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 7 for calling the DictLayerTest obj's underlying member method code with example usage: obj.test_default_args_have_correct_outputs() without return types