parameters: (self,
              names_to_saveables,
              reshape=False,
              sharded=False,
              max_to_keep=5,
              keep_checkpoint_every_n_hours=10000.0,
              name=None,
              restore_sequentially=False,
              filename="model")
return_statement: return self._build_internal(
          names_to_saveables=names_to_saveables,
          reshape=reshape,
          sharded=sharded,
          max_to_keep=max_to_keep,
          keep_checkpoint_every_n_hours=keep_checkpoint_every_n_hours,
          name=name,
          restore_sequentially=restore_sequentially,
          filename=filename)
docstring: Builds save/restore graph nodes or runs save/restore in eager mode.
  
      Args:
        names_to_saveables: A dictionary mapping name to a Variable or
          SaveableObject. Each name will be associated with the corresponding
          variable in the checkpoint.
        reshape: If True, allow restoring parameters from a checkpoint that where
          the parameters have a different shape.  This is only needed when you try
          to restore from a Dist-Belief checkpoint, and only some times.
        sharded: If True, shard the checkpoints, one per device that has Variable
          nodes.
        max_to_keep: Maximum number of checkpoints to keep.  As new checkpoints
          are created, old ones are deleted.  If None or 0, no checkpoints are
          deleted from the filesystem but only the last one is kept in the
          `checkpoint` file.  Presently the number is only roughly enforced.  For
          example in case of restarts more than max_to_keep checkpoints may be
          kept.
        keep_checkpoint_every_n_hours: How often checkpoints should be kept.
          Defaults to 10,000 hours.
        name: String.  Optional name to use as a prefix when adding operations.
        restore_sequentially: A Bool, which if true, causes restore of different
          variables to happen sequentially within each device.
        filename: If known at graph construction time, filename used for variable
          loading/saving. If None, then the default name "model" will be used.
  
      Returns:
        A SaverDef proto.
  
      Raises:
        TypeError: If 'names_to_saveables' is not a dictionary mapping string
          keys to variable Tensors.
        ValueError: If any of the keys or values in 'names_to_saveables' is not
          unique.
docstring_summary: Builds save/restore graph nodes or runs save/restore in eager mode.
docstring_tokens: Builds save / restore graph nodes or runs save / restore in eager mode .
function: def build(self,
              names_to_saveables,
              reshape=False,
              sharded=False,
              max_to_keep=5,
              keep_checkpoint_every_n_hours=10000.0,
              name=None,
              restore_sequentially=False,
              filename="model"):
      """Builds save/restore graph nodes or runs save/restore in eager mode.
  
      Args:
        names_to_saveables: A dictionary mapping name to a Variable or
          SaveableObject. Each name will be associated with the corresponding
          variable in the checkpoint.
        reshape: If True, allow restoring parameters from a checkpoint that where
          the parameters have a different shape.  This is only needed when you try
          to restore from a Dist-Belief checkpoint, and only some times.
        sharded: If True, shard the checkpoints, one per device that has Variable
          nodes.
        max_to_keep: Maximum number of checkpoints to keep.  As new checkpoints
          are created, old ones are deleted.  If None or 0, no checkpoints are
          deleted from the filesystem but only the last one is kept in the
          `checkpoint` file.  Presently the number is only roughly enforced.  For
          example in case of restarts more than max_to_keep checkpoints may be
          kept.
        keep_checkpoint_every_n_hours: How often checkpoints should be kept.
          Defaults to 10,000 hours.
        name: String.  Optional name to use as a prefix when adding operations.
        restore_sequentially: A Bool, which if true, causes restore of different
          variables to happen sequentially within each device.
        filename: If known at graph construction time, filename used for variable
          loading/saving. If None, then the default name "model" will be used.
  
      Returns:
        A SaverDef proto.
  
      Raises:
        TypeError: If 'names_to_saveables' is not a dictionary mapping string
          keys to variable Tensors.
        ValueError: If any of the keys or values in 'names_to_saveables' is not
          unique.
      """
      return self._build_internal(
          names_to_saveables=names_to_saveables,
          reshape=reshape,
          sharded=sharded,
          max_to_keep=max_to_keep,
          keep_checkpoint_every_n_hours=keep_checkpoint_every_n_hours,
          name=name,
          restore_sequentially=restore_sequentially,
          filename=filename)
function_tokens: def build ( self , names_to_saveables , reshape = False , sharded = False , max_to_keep = 5 , keep_checkpoint_every_n_hours = 10000.0 , name = None , restore_sequentially = False , filename = "model" ) : return self . _build_internal ( names_to_saveables = names_to_saveables , reshape = reshape , sharded = sharded , max_to_keep = max_to_keep , keep_checkpoint_every_n_hours = keep_checkpoint_every_n_hours , name = name , restore_sequentially = restore_sequentially , filename = filename )