code: def build_linear_keras_dynamic_model(input_shape, weights):
      return build_linear_keras_subclassed_model(
          input_shape, weights, dynamic=True
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  from absl.testing import parameterized
  import neural_structured_learning.configs
  from neural_structured_learning.keras import adversarial_regularization
  import numpy
  import tensorflow
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 5 for calling a global function with example usage: build_linear_keras_dynamic_model(input_shape, weights) and returns: build_linear_keras_subclassed_model