code: def build(self, input_shape=None):
      if self.built:
          return
      self.built = True
      if getattr(self, "c_fc", None) is not None:
          with tf.name_scope(self.c_fc.name):
              self.c_fc.build([None, None, self.n_state])
      if getattr(self, "c_proj", None) is not None:
          with tf.name_scope(self.c_proj.name):
              self.c_proj.build([None, None, self.nx])
  
imports: from __future__ import annotations
  from dataclasses import dataclass
  from typing import Optional, Tuple, Union
  import numpy
  import tensorflow
  from ...activations_tf import get_tf_activation
  from ...modeling_tf_outputs import TFBaseModelOutput, TFCausalLMOutput, TFSequenceClassifierOutput
  from ...modeling_tf_utils import TFCausalLanguageModelingLoss, TFConv1D, TFModelInputType, TFPreTrainedModel, TFSequenceClassificationLoss, TFSequenceSummary, TFSharedEmbeddings, get_initializer, keras_serializable, unpack_inputs
  from ...tf_utils import check_embeddings_within_bounds, shape_list, stable_softmax
  from ...utils import ModelOutput, add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from .configuration_openai import OpenAIGPTConfig
label_desc: Use image node_id 3 for calling the TFMLP obj's underlying member method code with example usage: obj.build(input_shape) without return types