code: def _types_dict():
      return {
          "DefaultNBitQuantizeConfig": DefaultNBitQuantizeConfig,
          "DefaultNBitQuantizeConfigRNN": DefaultNBitQuantizeConfigRNN,
          "DefaultNBitActivationQuantizeConfig": DefaultNBitActivationQuantizeConfig,
          "DefaultNBitConvQuantizeConfig": DefaultNBitConvQuantizeConfig,
          "NoOpQuantizeConfig": n_bit_configs.NoOpQuantizeConfig,
          "DefaultNBitOutputQuantizeConfig": n_bit_configs.DefaultNBitOutputQuantizeConfig,
          "DefaultNBitConvTransposeQuantizeConfig": DefaultNBitConvTransposeQuantizeConfig,
      }
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Any, Dict
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_registry
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantize_configs
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantizers
label_desc: Use image node_id 2 for calling a global function with example usage: _types_dict() and returns: dict