class_docstr: Manages a TensorFlow model for training.
class_docstr_tok: ["Manages","a","TensorFlow","model","for","training","."]
docstr: Sets the state of the model.
docstr_tok: ["Sets","the","state","of","the","model","."]
code: def set_state(self, state):
      """Sets the state of the model."""
      self.epoch = state["epoch"]
      self.model.set_weights(state["weights"])
  
imports: import logging
  import json
  import os
  import numpy
  import ray
  from contextlib import closing
  import logging
  import socket
  from zoo.orca.data.utils import ray_partitions_get_data_label
label_desc: Use image node_id 10 for calling the TFRunner obj's underlying member method code with example usage: obj.set_state(state) without return types