class_docstr: 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, sample_input=None):
      """Sets the state of the model."""
      if sample_input:
          self.model(sample_input)
      try:
          self.model.set_weights(state["weights"])
      except Exception:
          log4Error.invalidInputError(
              False,
              "Failed to set model weights, please provide real tensor "
              "data (of the correct dtype) as sample_input in the load "
              "method.",
          )
  
imports: import json
  import os
  import socket
  import shutil
  import tempfile
  import copy
  import ray
  from contextlib import closing
  from bigdl.dllib.utils import log4Error
  from bigdl.orca.data.utils import partitions_get_data_label, partitions_get_tf_dataset
  from bigdl.orca.data.file import is_file, get_remote_file_to_local, get_remote_dir_to_local, get_remote_files_with_prefix_to_local, put_local_file_to_remote, put_local_dir_tree_to_remote, put_local_files_with_prefix_to_remote
  from bigdl.orca.learn.utils import process_tensorboard_in_callbacks
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 10 for calling the TFRunner obj's underlying member method code with example usage: obj.set_state(state, sample_input) without return types