code: def _simple_dense_layer(self):
      layer = l.Dense(2)
      layer.build(input_shape=(3,))
      return layer
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantize_registry
label_desc: Use image node_id 1 for calling the DefaultNBitQuantizeConfigTest obj's underlying member method code with example usage: obj._simple_dense_layer() and returns: layer