class_docstr: A data structure that holds model, graph and hparams.
class_docstr_tok: ["A","data","structure","that","holds","model",",","graph","and","hparams","."]
code: def __init__(self, model, graph, hparams):
      self.model = model
      self.graph = graph
      self.hparams = hparams
  
file_path: magenta/magenta/models/coconet/lib_tfutil.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new WrappedModel object from inherited base classes: object with example: obj = WrappedModel(model, graph, hparams)