code: def run_model_tf(
      model, inputs, CONFIG, truncated, speaker_id=None, style_mel=None
  ):
      if CONFIG.use_gst and style_mel is not None:
          raise NotImplementedError(
              " [!] GST inference not implemented for TF"
          )
      if truncated:
          raise NotImplementedError(
              " [!] Truncated inference not implemented for TF"
          )
      if speaker_id is not None:
          raise NotImplementedError(
              " [!] Multi-Speaker not implemented for TF"
          )
      # TODO: handle multispeaker case
      decoder_output, postnet_output, alignments, stop_tokens = model(
          inputs, training=False
      )
      return decoder_output, postnet_output, alignments, stop_tokens
  
file_path: TTS/TTS/tts/utils/synthesis.py
imports: import pkg_resources
  import torch
  import numpy
  from .text import text_to_sequence, phoneme_to_sequence
label_desc: Use image node_id 6 for calling a global function with example usage: run_model_tf(model, inputs, CONFIG, truncated, speaker_id, style_mel) and returns: decoder_output,  postnet_output,  alignments,  stop_tokens