// OK
  %0 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [1, 3, 6, 1], padding = "VALID", strides = [1, 3, 1, 1]} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32>
  // Unsupported ksize
  %1 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [3, 3, 6, 1], padding = "VALID", strides = [1, 3, 1, 1]} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32>

      %outputs_14, %control_15 = tf_executor.island wraps "tf.AvgPool"(%outputs_12) {data_format = "NHWC", device = "", ksize = [1, 7, 7, 1], padding = "VALID", strides = [1, 7, 7, 1]} : (tensor<16x112x112x?xf32>) -> tensor<16x16x16x?xf32>

		$2 ~ /^LOCK_(SH|EX|NB|UN)$/ ||
		$2 ~ /^LO_(KEY|NAME)_SIZE$/ ||
		$2 ~ /^LOOP_(CLR|CTL|GET|SET)_/ ||
		$2 == "LOOP_CONFIGURE" ||
		$2 ~ /^(AF|SOCK|SO|SOL|IPPROTO|IP|IPV6|TCP|MCAST|EVFILT|NOTE|SHUT|PROT|MAP|MREMAP|MFD|T?PACKET|MSG|SCM|MCL|DT|MADV|PR|LOCAL|TCPOPT|UDP)_/ ||
		$2 ~ /^NFC_(GENL|PROTO|COMM|RF|SE|DIRECTION|LLCP|SOCKPROTO)_/ ||
		$2 ~ /^NFC_.*_(MAX)?SIZE$/ ||
		$2 ~ /^RAW_PAYLOAD_/ ||
		$2 ~ /^[US]F_/ ||

    %6 = "quantfork.dcast"(%5) : (tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-1>>) -> tensor<*xf32>
    %7 = "tf.AvgPool"(%6) {data_format = "NHWC", ksize = [1, 2, 2, 1], padding = "VALID", strides = [1, 1, 1, 1]} : (tensor<*xf32>) -> tensor<*xf32>
    func.return %7 : tensor<*xf32>
  }

	Mtimespec     Timespec
	Ctimespec     Timespec
	Birthtimespec Timespec
	Size          int64
	Blocks        int64
	Blksize       int32
	Flags         uint32
	Gen           uint64
	Spare         [10]uint64
}

type Statfs_t struct {
	Version     uint32
	Type        uint32
	Flags       uint64
	Bsize       uint64
	Iosize      uint64
	Blocks      uint64
	Bfree       uint64

	Mtimespec     Timespec
	Ctimespec     Timespec
	Birthtimespec Timespec
	Size          int64
	Blocks        int64
	Blksize       int32
	Flags         uint32
	Gen           uint64
	Spare         [10]uint64
}

type Statfs_t struct {
	Version     uint32
	Type        uint32
	Flags       uint64
	Bsize       uint64
	Iosize      uint64
	Blocks      uint64
	Bfree       uint64

      layerStats = dense<[-1.28, 1.28]> : tensor<2xf32>
    } : (tensor<*xf32>) -> tensor<*xf32>
    %1 = "tf.MaxPool"(%0) {
      data_format = "NHWC", device = "", explicit_paddings = [],
      ksize = [1, 2, 2, 1], padding = "VALID", strides = [1, 2, 2, 1]
    } : (tensor<*xf32>) -> tensor<*xf32>
    %2 = "quantfork.stats"(%1) {
      layerStats = dense<[-0.9, 1.0]> : tensor<2xf32>
    } : (tensor<*xf32>) -> tensor<*xf32>

  if (attr->list().field##_size() > 0) {      \
    *list_size = attr->list().field##_size(); \
    __VA_ARGS__;                              \
    break;                                    \
  }

      LIST_CASE(
          s, TF_ATTR_STRING, *total_size = 0;
          for (int i = 0; i < attr->list().s_size();
               ++i) { *total_size += attr->list().s(i).size(); });
      LIST_CASE(i, TF_ATTR_INT);

	Atimespec     Timespec
	Mtimespec     Timespec
	Ctimespec     Timespec
	Birthtimespec Timespec
	Size          int64
	Blocks        int64
	Blksize       int32
	Flags         uint32
	Gen           uint32
	Lspare        int32
	Qspare        [2]int64
}

type Statfs_t struct {
	Bsize       uint32
	Iosize      int32
	Blocks      uint64
	Bfree       uint64
	Bavail      uint64
	Files       uint64

		}
		b.Run(fmt.Sprintf("%d", n), func(b *testing.B) {
			benchmarkIntSqr(b, n)
		})
	}
}

func benchmarkDiv(b *testing.B, aSize, bSize int) {
	var r = rand.New(rand.NewSource(1234))
	aa := randInt(r, uint(aSize))
	bb := randInt(r, uint(bSize))
	if aa.Cmp(bb) < 0 {
		aa, bb = bb, aa
	}
	x := new(Int)
	y := new(Int)

	b.ResetTimer()
	for i := 0; i < b.N; i++ {