class_docstr: Additional options for conversion, besides input, output, shape.
class_docstr_tok: ["Additional","options","for","conversion",",","besides","input",",","output",",","shape","."]
code: def __init__(self):
      # Whether to ignore control dependency nodes.
      self.drop_control_dependency = False
      # Allow custom ops in the conversion.
      self.allow_custom_ops = False
      # Rnn states that are used to support rnn / lstm cells.
      self.rnn_states = None
      # Split the LSTM inputs from 5 inputs to 18 inputs for TFLite.
      self.split_tflite_lstm_inputs = None
      # The inference input type passed to TFLiteConvert.
      self.inference_input_type = None
      # The inference output type passed to TFLiteConvert.
      self.inference_output_type = None
  
imports: import functools
  import io
  import itertools
  import operator
  import os
  import re
  import string
  import sys
  import tempfile
  import traceback
  import zipfile
  import numpy
  import tensorflow
  from google.protobuf import text_format
  from tensorflow.lite.testing import _pywrap_string_util
  from tensorflow.lite.testing import generate_examples_report
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.framework import convert_to_constants
  from tensorflow.python.saved_model import signature_constants
label_desc: Use image node_id 1 to create a new ExtraConvertOptions object  with example: obj = ExtraConvertOptions()