// ops via their SaveSpec members
// https://github.com/tensorflow/tensorflow/blob/ddc1bbad3dfd4a089eb96014f26cc16664b1b2f8/tensorflow/python/training/saving/saveable_object.py#L21,
// which contain the "real" checkpoint keys into the TensorBundle SSTable.
// They also contain the logic needed to take the restored tensors from

  are multiple output tensors from one node). Since Retval nodes are not used in
  SavedModel, this function removes them and restore the names to the actual
  output tensors.

  Args:
    graph_def: the converted GraphDef.

  Returns:
    The GraphDef with Retval nodes removed and output tensor names restored.
  """
  output_renaming_map = {}
  with session.Session(graph=ops.Graph()):
    importer.import_graph_def(graph_def, name='')

}

// Expiry returns expiry of restored object and true if restore-object has completed.
// Otherwise returns zero value of time.Time and false.
func (r restoreObjStatus) Expiry() (time.Time, bool) {
	if r.Ongoing() {
		return time.Time{}, false
	}
	return r.expiry, true
}

// Ongoing returns true if restore-object is ongoing.
func (r restoreObjStatus) Ongoing() bool {

func assertStateEqual(t *testing.T, restoredState, expectedState ClaimInfoStateList) {
	assert.Equal(t, expectedState, restoredState, "expected ClaimInfoState does not equal to restored one")
}

// TODO (https://github.com/kubernetes/kubernetes/issues/123552): reconsider what data gets stored in checkpoints and whether that is really necessary.
//

  let summary = "Restore variable tensors";
  let description = [{
    This is the MLRT version of tf.IfrtRestoreVariableOp.

    This Op is similar to a combination of RestoreV2 and AssignVariable Op, but
    this Op's execution is asynchronous.

    This Op is specific to MLRT runtime and is not a stable interface for
    serialization.

	if raceenabled {
		racereleasemerge(unsafe.Pointer(&racecgosync))
	}

	// Do not unwind m->g0->sched.sp.
	// Our caller, cgocallback, will do that.
	restore = false
}

func unwindm(restore *bool) {
	if *restore {
		// Restore sp saved by cgocallback during
		// unwind of g's stack (see comment at top of file).
		mp := acquirem()
		sched := &mp.g0.sched

	}

	return Event{
		Action: NoneAction,
	}
}

// ExpectedExpiryTime calculates the expiry, transition or restore date/time based on a object modtime.
// The expected transition or restore time is always a midnight time following the object
// modification time plus the number of transition/restore days.
//
//	e.g. If the object modtime is `Thu May 21 13:42:50 GMT 2020` and the object should

	if objectAPI == nil {
		return
	}

	vars := mux.Vars(r)
	restoreID := vars["restoreId"]
	if restoreID == "" {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInvalidRequest), r.URL)
		return
	}
	if restoreID == "all" {
		chEntries, err := listServerConfigHistory(ctx, objectAPI, false, -1)
		if err != nil {

                                      builder.getStringAttr(einsum_equation));
}

// Restores the collapsed dimensions to the `tensor_type`. `collapsed_dims`
// designate the dimension indices that were collapsed to produce `tensor_type`.
// The restored dimensions' sizes are 1, according to the semantics of
// `XlaGatherOp (https://www.tensorflow.org/xla/operation_semantics#gather). The

            totalProblemsCount = 1
            problemsWithStackTraceCount = 0
        }
    }

    def "restores task fields whose value is an object graph with cycles"() {
        buildFile << """
            class SomeBean {
                String value
                SomeBean parent
                SomeBean child