code: def call(self, hidden_states):
      hidden_states = self.input_embeddings(
          hidden_states, mode="linear"
      )
      hidden_states = hidden_states + self.bias
      return hidden_states
  
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 7 for calling the TFCTRLLMHead obj's underlying member method code with example usage: obj.call(hidden_states) and returns: hidden_states