code: def call(self, inputs, trainable=False):
      dense_0_output = self.dense_0(inputs)
      dense_2_output = self.dense_2(dense_0_output)
  
      return dense_2_output
  
imports: from __future__ import annotations
  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, get_initializer, keras_serializable, unpack_inputs
  from ...tf_utils import check_embeddings_within_bounds, 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 2 for calling the TFPointWiseFeedForwardLayer obj's underlying member method code with example usage: obj.call(inputs, trainable) and returns: dense_2_output