code: def _types_dict():
      return {
          "Default8BitQuantizeConfig": Default8BitQuantizeConfig,
          "Default8BitQuantizeConfigRNN": Default8BitQuantizeConfigRNN,
          "Default8BitActivationQuantizeConfig": Default8BitActivationQuantizeConfig,
          "Default8BitConvQuantizeConfig": Default8BitConvQuantizeConfig,
          "NoOpQuantizeConfig": default_8bit_quantize_configs.NoOpQuantizeConfig,
          "Default8BitOutputQuantizeConfig": default_8bit_quantize_configs.Default8BitOutputQuantizeConfig,
          "Default8BitConvTransposeQuantizeConfig": Default8BitConvTransposeQuantizeConfig,
      }
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  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.default_8bit import default_8bit_quantize_configs
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantizers
label_desc: Use image node_id 2 for calling a global function with example usage: _types_dict() and returns: dict