def LegalizeResizeBilinear : Pat<
  (TF_ResizeBilinearOp $images, $size, $align_corners, $half_pixel_centers),
  (TFL_ResizeBilinearOp $images, $size, $align_corners, $half_pixel_centers)>;
def LegalizeResizeNearestNeighbor : Pat<
  (TF_ResizeNearestNeighborOp $images, $size, $align_corners,
    $half_pixel_centers),
  (TFL_ResizeNearestNeighborOp $images, $size, $align_corners,
    $half_pixel_centers)>;

	n := 0
	for len(out) > 0 {
		bsize := len(out)
		if bsize > 1024 {
			bsize = 1024
		}
		err = ptrace64Ptr(PT_READ_BLOCK, int64(pid), int64(addr), bsize, unsafe.Pointer(&out[0]))
		if err != nil {
			return 0, err
		}
		addr += uintptr(bsize)
		n += bsize
		out = out[n:]
	}
	return n, nil
}

		$2 ~ /^LOCK_(SH|EX|NB|UN)$/ ||
		$2 ~ /^LO_(KEY|NAME)_SIZE$/ ||
		$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_/ ||

  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);

			if !ok {
				return nil, errBadData
			}
			if uint32(int(nn)) != nn {
				return nil, errBadData
			}
			n[i] = int(nn)
		}
	}

	size := 4
	if is64 {
		size = 8
	}

	// Transition times.
	txtimes := dataIO{d.read(n[NTime] * size), false}

	// Time zone indices for transition times.
	txzones := d.read(n[NTime])

	// Zone info structures

        Args:
          weight_shape: Shape of the weight tensor.
        """
        self.filters = np.random.uniform(low=-1.0, high=1.0, size=weight_shape)

        if bias_fn is not None:
          self.bias = np.random.uniform(
              low=-1.0, high=1.0, size=weight_shape[-1]
          )

      def has_reshape(self) -> bool:
        return self.bias_fn() and self.bias_size != self.filters.shape[-1]

	CRDLY                            = 0x600
	CREAD                            = 0x80
	CS6                              = 0x10
	CS7                              = 0x20
	CS8                              = 0x30
	CSIZE                            = 0x30
	CSTOPB                           = 0x40
	ECCGETLAYOUT                     = 0x81484d11
	ECCGETSTATS                      = 0x80104d12
	ECHOCTL                          = 0x200

	CRDLY                            = 0x600
	CREAD                            = 0x80
	CS6                              = 0x10
	CS7                              = 0x20
	CS8                              = 0x30
	CSIZE                            = 0x30
	CSTOPB                           = 0x40
	ECCGETLAYOUT                     = 0x81484d11
	ECCGETSTATS                      = 0x80104d12
	ECHOCTL                          = 0x200

	CRDLY                            = 0x600
	CREAD                            = 0x80
	CS6                              = 0x10
	CS7                              = 0x20
	CS8                              = 0x30
	CSIZE                            = 0x30
	CSTOPB                           = 0x40
	ECCGETLAYOUT                     = 0x81484d11
	ECCGETSTATS                      = 0x80104d12
	ECHOCTL                          = 0x200

	var sym LSym

	var b [8]byte
	writeByte := func(x byte) {
		sym.WriteBytes(ctxt, sym.Size, []byte{x})
	}
	writeUint32 := func(x uint32) {
		binary.LittleEndian.PutUint32(b[:], x)
		sym.WriteBytes(ctxt, sym.Size, b[:4])
	}
	writeInt64 := func(x int64) {
		binary.LittleEndian.PutUint64(b[:], uint64(x))
		sym.WriteBytes(ctxt, sym.Size, b[:])
	}
	writeString := func(s string) {
		writeUint32(uint32(len(s)))