class_docstr: VST inference modules, for models trained with `models/vst/vst.gin`.
class_docstr_tok: ["VST","inference","modules",",","for","models","trained","with","`","models\/vst\/vst.gin","`","."]
code: def restore(self, checkpoint_path, verbose=True):
      # Leave out preprocessor to allow loading different CREPE models.
      restore_keys = ["decoder"]
      super().restore(
          checkpoint_path, verbose=verbose, restore_keys=restore_keys
      )
  
imports: import ddsp
  from ddsp.training import models
  from ddsp.training import train_util
  import gin
  import tensorflow
label_desc: Use image node_id 4 for calling the VSTBaseModule obj's underlying member method code with example usage: obj.restore(checkpoint_path, verbose) without return types