}

// Returns a TPUPartitionedInput op connected to a `tf_device.cluster_func`
// operand value if it has an XLA sharding. If value is a resource type then
// TPUPartitionedInput op will be connected to a ReadVariable op that feeds into
// a `tf_device.cluster_func`.
mlir::Operation* GetXlaShardingFromOperand(Value value) {
  Value value_to_visit = value;
  if (auto read_var = value_to_visit.getDefiningOp<mlir::TF::ReadVariableOp>())

      related config.
    representative_dataset: a generator that returns a dictionary in {input_key:
      input_value} format or a tuple with signature key and a dictionary in
      {input_key: input_value} format that feeds calibration data for quantizing
      model. This should be provided when the model is not a QAT model.

  Returns:
    A SavedModel object with TF quantization applied.

  Raises:

  // IfRegion or WhileRegion ops that need to converted.
  worklist.push_back(outlined_func);
  return outlined_func.getName();
}

// Returns call for region with single call whose result feeds into the
// terminator of the region. If `allow_to_bool` is true, it allows patterns used
// in the condition of While ops, i.e. it allows a single bool (possibly passed

		syscallingP: make(map[ProcID]GoID),
		syscallingG: make(map[GoID]ProcID),
		rangesP:     make(map[rangeP]GoID),
	}
}

type rangeP struct {
	id   ProcID
	name string
}

// Event feeds a single event into the stats summarizer.
func (s *Summarizer) Event(ev *Event) {
	if s.syncTs == 0 {
		s.syncTs = ev.Time()
	}
	s.lastTs = ev.Time()

	switch ev.Kind() {