code: def __init__(self, d_model_size, dff, **kwargs):
      super().__init__(**kwargs)
  
      self.dense_0 = tf.keras.layers.Dense(
          dff, activation="relu", name="0"
      )
      self.dense_2 = tf.keras.layers.Dense(d_model_size, name="2")
  
imports: import warnings
  from typing import Optional, Tuple, Union
  import numpy
  import tensorflow
  from ...modeling_tf_outputs import TFBaseModelOutputWithPast, TFCausalLMOutputWithPast, TFSequenceClassifierOutput
  from ...modeling_tf_utils import TFCausalLanguageModelingLoss, TFModelInputType, TFPreTrainedModel, TFSequenceClassificationLoss, TFSharedEmbeddings, get_initializer, keras_serializable, unpack_inputs
  from ...tf_utils import shape_list, stable_softmax
  from ...utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward, logging
  from .configuration_ctrl import CTRLConfig
label_desc: Use image node_id 1 to create a new TFPointWiseFeedForwardLayer object from inherited base classes: tf.keras.layers with example: obj = TFPointWiseFeedForwardLayer(d_model_size, dff)