code: def prepare(cls, model, device="CPU"):
      return BackendRep(model, device)
  
file_path: neoml/NeoML/Python/neoml/Onnx/Backend.py
imports: from .API import load_from_buffer
  import onnx.backend.base
  import neoml.MathEngine
  import neoml.Blob
  import numpy
label_desc: Use image node_id 1 for calling the Backend obj's underlying member method code with example usage: obj.prepare(cls, model, device) and returns: BackendRep