When using your CI servers built in functions, you can use https://confluence.jetbrains.com/display/TCD10/Statistic+Charts[statistic charts] if you use Teamcity for your CI builds.

        {static_cast<float>(min.getValueAsDouble()),
         static_cast<float>(max.getValueAsDouble())});
    ElementsAttr axis_stats;
    IntegerAttr axis;

    quantfork::StatisticsOp stats_op = rewriter.create<quantfork::StatisticsOp>(
        op->getLoc(), op.getInput(), layer_stats, axis_stats, axis);
    op.getOutput().replaceAllUsesWith(stats_op.getResult());
    return success();
  }
};

  if (IsConst(op)) return std::nullopt;

  // The model may contain quant stats op which is unrelevant to the
  // execution.
  if (llvm::isa<mlir::func::ReturnOp, mlir::quantfork::StatisticsOp>(op))
    return std::nullopt;

  if (!HasValidHardwareTarget(op)) return std::nullopt;

  auto device = op->getAttrOfType<mlir::StringAttr>(mlir::TFL::tac::kDevice);
  if (device == nullptr) return std::nullopt;

      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.
  {

      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.
  {

		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)