code: def _convert_tflite_enum_type_to_tf_type(tflite_enum_type):
      """Converts tflite enum type (eg: 0) to tf type (eg: tf.float32)."""
      tf_type = _MAP_TFLITE_ENUM_TO_TF_TYPES.get(tflite_enum_type)
      if tf_type is None:
          raise ValueError(
              "Unsupported enum {}. The valid map of enum to tf.dtype is : {}".format(
                  tflite_enum_type, _MAP_TFLITE_ENUM_TO_TF_TYPES
              )
          )
      return tf_type
  
file_path: compute-engine/larq_compute_engine/mlir/python/util.py
imports: import copy
  import flatbuffers
  import tensorflow
  from larq_compute_engine.mlir.python import tflite_schema
label_desc: Use image node_id 1 for calling a global function with example usage: _convert_tflite_enum_type_to_tf_type(tflite_enum_type) and returns: tf_type