class_docstr: Create an inference-only version of the model.
class_docstr_tok: ["Create","an","inference-only","version","of","the","model","."]
docstr: Run the core of the network, get predictions.
code: def call(self, inputs, **unused_kwargs):
      """Run the core of the network, get predictions."""
      inputs = ddsp.core.copy_if_tf_function(inputs)
      return super().call(inputs, training=False)
  
imports: import ddsp
  from ddsp.training import models
  from ddsp.training import train_util
  import gin
  import tensorflow
label_desc: Use image node_id 5 for calling the AutoencoderInference obj's underlying member method code with example usage: obj.call(inputs) and returns: super