class_docstr: Resamples and scales 'f0_hz' and 'loudness_db' features.
class_docstr_tok: ["Resamples","and","scales","'f0_hz","'","and","'loudness_db","'","features","."]
docstr: Takes in scaled f0 and loudness, and puts them back to hz & db scales.
docstr_tok: ["Takes","in","scaled","f0","and","loudness",",","and","puts","them","back","to","hz","&","db","scales","."]
code: def invert_scaling(f0_scaled, ld_scaled):
      """Takes in scaled f0 and loudness, and puts them back to hz & db scales."""
      f0_hz = inv_scale_f0_hz(f0_scaled)
      loudness_db = inv_scale_db(ld_scaled)
      return f0_hz, loudness_db
  
imports: import ddsp
  from ddsp.training import nn
  import gin
  import tensorflow
label_desc: Use image node_id 3 for calling the F0LoudnessPreprocessor obj's underlying member method code with example usage: obj.invert_scaling(f0_scaled, ld_scaled) and returns: f0_hz,  loudness_db