return emitOpError() << "has incompatible specification " << outputSpec
                           << " and output type " << outputType;
    }
  }
  return success();
}

LogicalResult StatisticsOp::verify() {
  auto tensorArg = mlir::dyn_cast<TensorType>(getArg().getType());
  if (!tensorArg) return emitOpError("arg needs to be tensor type.");

  // Verify layerStats attribute.
  {

	fcmetrics.Gauge

	GetResults() IntegratorResults

	// Return the results of integrating to now, and reset integration to start now
	Reset() IntegratorResults
}

// IntegratorResults holds statistical abstracts of the integration
type IntegratorResults struct {
	Duration  float64 //seconds
	Average   float64 //time-weighted
	Deviation float64 //standard deviation: sqrt(avg((value-avg)^2))
	Min, Max  float64
}

		fmt.Fprintf(os.Stderr, "%v: %v\n", s, so)
	}
	fmt.Fprintf(os.Stderr, "\n")
}

func printSocketStats() {
	sts := sw.Stats()
	if len(sts) == 0 {
		return
	}
	fmt.Fprintf(os.Stderr, "Socket statistical information:\n")
	for _, st := range sts {
		fmt.Fprintf(os.Stderr, "%v\n", st)
	}
	fmt.Fprintf(os.Stderr, "\n")

	logPallocChunkPages,
}

// sysInit performs architecture-dependent initialization of fields
// in pageAlloc. pageAlloc should be uninitialized except for sysStat
// if any runtime statistic should be updated.
func (p *pageAlloc) sysInit(test bool) {
	// Reserve memory for each level. This will get mapped in
	// as R/W by setArenas.
	for l, shift := range levelShift {
		entries := 1 << (heapAddrBits - shift)