class_docstr: Loads a SavedModel without using Sessions.
class_docstr_tok: ["Loads","a","SavedModel","without","using","Sessions","."]
docstr: Called from wrap_function to import `meta_graph_def`.
docstr_tok: ["Called","from","wrap_function","to","import","`","meta_graph_def","`","."]
code: def load_graph(self, returns, meta_graph_def):
      """Called from wrap_function to import `meta_graph_def`."""
      # pylint: disable=protected-access
      saver, _ = tf_saver._import_meta_graph_with_return_elements(
          meta_graph_def
      )
      # pylint: enable=protected-access
      returns[0] = saver
  
imports: import functools
  from tensorflow.python.eager import context
  from tensorflow.python.eager import lift_to_graph
  from tensorflow.python.eager import wrap_function
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import function_deserialization
  from tensorflow.python.saved_model import loader_impl
  from tensorflow.python.saved_model import signature_serialization
  from tensorflow.python.saved_model.pywrap_saved_model import metrics
  from tensorflow.python.trackable import asset
  from tensorflow.python.trackable import autotrackable
  from tensorflow.python.trackable import resource
  from tensorflow.python.training import monitored_session
  from tensorflow.python.training import saver
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the _EagerSavedModelLoader obj's underlying member method code with example usage: obj.load_graph(returns, meta_graph_def) without return types