class_docstr: A model subclass.
class_docstr_tok: ["A","model","subclass","."]
docstr: A test subclass model with one dense layer.
docstr_tok: ["A","test","subclass","model","with","one","dense","layer","."]
code: def __init__(self):
      """A test subclass model with one dense layer."""
      super(TestSubclassedModel, self).__init__(name="test_model")
      self.layer1 = keras.layers.Dense(10, activation="relu")
  
imports: import json
  import tempfile
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import test_utils
  from tensorflow_model_optimization.python.core.sparsity.keras import prunable_layer
  from tensorflow_model_optimization.python.core.sparsity.keras import prune
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_schedule
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_wrapper
label_desc: Use image node_id 1 to create a new TestSubclassedModel object from inherited base classes: keras with example: obj = TestSubclassedModel()