class_docstr: Create an inference-only version of the model.
class_docstr_tok: ["Create","an","inference-only","version","of","the","model","."]
code: def __init__(
      self,
      ckpt,
      length_seconds=4,
      remove_reverb=True,
      verbose=True,
      **kwargs,
  ):
      self.length_seconds = length_seconds
      self.remove_reverb = remove_reverb
      self.configure_gin(ckpt)
      super().__init__(**kwargs)
      self.restore(ckpt, verbose=verbose)
      self.build_network()
  
imports: import ddsp
  from ddsp.training import models
  from ddsp.training import train_util
  import gin
  import tensorflow
label_desc: Use image node_id 1 to create a new AutoencoderInference object from inherited base classes: models with example: obj = AutoencoderInference(ckpt, length_seconds, remove_reverb, verbose)