code: def __init__(self, name: Optional[str] = None) -> None:
      super().__init__(name)
      self.variable = tf.Variable(tf.zeros((2, 2, 1)), trainable=True)
      self.param = gpflow.Parameter(0.0)
      self.dense = tf.keras.layers.Dense(5)
  
imports: from typing import Any, Callable, Mapping, Optional, Type
  import numpy
  import pytest
  import tensorflow
  from _pytest.fixtures import SubRequest
  from packaging.version import Version
  import gpflow
  from gpflow.base import AnyNDArray
  from gpflow.config import Config, as_context
  from gpflow.utilities import set_trainable
  from gpflow.utilities.traversal import _merge_leaf_components, leaf_components, tabulate_module_summary
label_desc: Use image node_id 1 to create a new C object from inherited base classes: tf.keras with example: obj = C(name)