"Length: " + printUint16(h.Length) + "}"
}

// pack appends the wire format of the ResourceHeader to oldMsg.
//
// lenOff is the offset in msg where the Length field was packed.
func (h *ResourceHeader) pack(oldMsg []byte, compression map[string]uint16, compressionOff int) (msg []byte, lenOff int, err error) {
	msg = oldMsg
	if msg, err = h.Name.pack(msg, compression, compressionOff); err != nil {

      : RewritePattern(
            PackOp::getOperationName(), 1, context,
            {ConstOp::getOperationName(), ConcatV2Op::getOperationName(),
             ExpandDimsOp::getOperationName()}) {}

  LogicalResult matchAndRewrite(Operation *src_op,
                                PatternRewriter &rewriter) const override {
    auto op = cast<PackOp>(src_op);

    Location loc = op.getLoc();

// behind this is likelihood of reuse: the Go heap is allocated in a first-fit order
// and by the end of the GC mark phase, the heap tends to be densely packed. Releasing
// memory in these densely packed chunks while they're being packed is counter-productive,
// and worse, it breaks up huge pages on systems that support them. The scavenger (invoked

		if msg.Unpack(b[:n]) != nil {
			t.Error("invalid DNS query:", err)
			return
		}

		s.Write([]byte("garbage DNS response packet"))

		msg.Header.Response = true
		msg.Header.ID++ // make invalid ID

		if b, err = msg.Pack(); err != nil {
			t.Error("failed to pack DNS response:", err)
			return
		}
		s.Write(b)

		msg.Header.ID-- // restore original ID

  // CHECK: %[[MATMUL_PACKED:.*]] = "tf.Pack"(%[[MATMUL_1]], %[[MATMUL_2]], %[[MATMUL_3]], %[[MATMUL_4]], %[[MATMUL_5]], %[[MATMUL_6]]) <{axis = 0 : i64}> : (tensor<4x6xf32>, tensor<4x6xf32>, tensor<4x6xf32>, tensor<4x6xf32>, tensor<4x6xf32>, tensor<4x6xf32>) -> tensor<6x4x6xf32>

extern char* _cgo_topofstack(void);

/*
  We use packed structs, but they are always aligned.
  The pragmas and address-of-packed-member are only recognized as warning
  groups in clang 4.0+, so ignore unknown pragmas first.
*/
#pragma GCC diagnostic ignored "-Wunknown-pragmas"
#pragma GCC diagnostic ignored "-Wpragmas"
#pragma GCC diagnostic ignored "-Waddress-of-packed-member"

	// then the high bit of the inversion will be set,
	// making it clearly not a valid length (it would be a negative one).
	//
	// cx holds the pre-inverted encoding (the packed incremented bytes).
	cx := uint64(0) // byte-only

	// This stanza (until the blank line) is the "LMS-substring iterator",
	// described in placeLMS_8_64 above, with one line added to maintain cx.

};

// Converts tf.Const containing variant of type TensorList to a tensor of
// primitive element types. Each of the individual tensor in the list is
// converted to an ElementsAttr and then those are packed together using
// tf.Pack op.
struct ConvertConst : public OpConversionPattern<TF::ConstOp> {
  using OpConversionPattern::OpConversionPattern;

  LogicalResult matchAndRewrite(
      TF::ConstOp op, OpAdaptor adaptor,

		st.advance(2)
		e := st.expression()
		pack := st.findArgumentPack(e)
		return &PackExpansion{Base: e, Pack: pack}
	} else if st.str[0] == 's' && len(st.str) > 1 && st.str[1] == 'Z' {
		st.advance(2)
		off := st.off
		e := st.expression()
		ap := st.findArgumentPack(e)
		if ap == nil {
			st.failEarlier("missing argument pack", st.off-off)
		}
		return &SizeofPack{Pack: ap}

  %2 = "tfl.add"(%arg0, %arg3) {tac.device = "GPU", fused_activation_function = "RELU6", tac.inference_type = "FLOAT"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
  %3 = "tfl.pack"(%1, %2) {tac.device = "CPU", tac.inference_type = "FLOAT", axis = 0 : i32, values_count = 2 : i32} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
  func.return %3 : tensor<2x1xf32>
}
}