code: def db_uint_spectrogram_to_gain(
      db_uint_spectrogram: tf.Tensor,
      min_db: tf.Tensor,
      max_db: tf.Tensor,
  ) -> tf.Tensor:
      """
      Decode spectrogram from uint8 decibel scale.
  
      Paramters:
          db_uint_spectrogram (tf.Tensor):
              Decibel spectrogram to decode.
          min_db (tf.Tensor):
              Lower bound limit for decoding.
          max_db (tf.Tensor):
              Upper bound limit for decoding.
  
      Returns:
          tf.Tensor:
              Decoded spectrogram as `float32` tensor.
      """
      db_spectrogram: tf.Tensor = from_uint8_to_float32(
          db_uint_spectrogram, min_db, max_db
      )
      return db_to_gain(db_spectrogram)
  
file_path: spleeter/spleeter/audio/convertor.py
imports: import numpy
  import tensorflow
  from ..utils.tensor import from_float32_to_uint8, from_uint8_to_float32
label_desc: Use image node_id 6 for calling a global function with example usage: db_uint_spectrogram_to_gain(db_uint_spectrogram, min_db, max_db) and returns: db_to_gain