let description = [{
      This pass uses mechanisms listed in RFC:
      https://github.com/tensorflow/community/pull/113
      It prepares composite functions that are attributed to indicate
      a specific interface (LSTM, SVDF, Embedding lookup etc.) by replacing the
      body with the corresponding fused TFLite op. The replacement need not
      always be a fused op, though that is the primary use case.
  }];
  let options = [

// CHECK-DAG:       [[VAL_47:%.*]] = arith.constant dense<0.000000e+00> : tensor<1x3xf32>
// CHECK-DAG:       [[VAL_48:%.*]] = arith.constant dense<0.000000e+00> : tensor<1x1xf32>

  }
  return b.create<mlir::quantfork::StatisticsOp>(b.getUnknownLoc(), res,
                                                 layer_stats, axis_stats, axis);
}

// Returns true if this is a basic LSTM op.
bool IsBasicLSTMOp(tflite::BuiltinOptionsUnion op_union) {
  if (const auto* op = op_union.AsLSTMOptions()) {
    return op->kernel_type == tflite::LSTMKernelType_BASIC;
  } else {
    return false;
  }
}

LogicalResult ConvertTFAssertOp::matchAndRewrite(
    Operation* op, PatternRewriter& rewriter) const {
  rewriter.eraseOp(op);
  return success();
}

// Legalize unidirectional sequence lstm.
struct LegalizeUnidirectionalSequenceLstm : public RewritePattern {
  explicit LegalizeUnidirectionalSequenceLstm(MLIRContext* context)
      : RewritePattern(kUnidirectionalSequenceLstm, 1, context) {}

  // duplicated buffer is found.
  std::optional<BufferOffset<tflite::Buffer>> BuildBuffer(
      Value value, bool can_be_deduplicated, int& index);

  // Build TFLite tensor from the given type. This function is for tfl.lstm
  // intermediates, which should have UniformQuantizedType.
  std::optional<BufferOffset<tflite::Tensor>> BuildTensorFromType(
      mlir::Type type, const std::string& name);

## Bug Fixes and Other Changes

*   `tf.nn.rnn_cell.DropoutWrapper` is now more careful about dropping out LSTM
    states. Specifically, it no longer ever drops the `c` (memory) state of an
    `LSTMStateTuple`. The new behavior leads to proper dropout behavior for
    LSTMs and stacked LSTMs. This bug fix follows recommendations from published
    literature, but is a behavioral change. State dropout behavior may be

  target.addDynamicallyLegalOp<TF::YieldOp>(is_legal);
  target.addDynamicallyLegalOp<TF::TensorListSetItemOp>(is_set_item_legal);
  target.addLegalOp<TFL::CustomOp>();
  // Register fused LSTM/RNN ops as legal.
  target.addLegalOp<TFL::LSTMOp>();
  target.addLegalOp<TFL::UnidirectionalSequenceLSTMOp>();
  target.addLegalOp<TFL::UnidirectionalSequenceRNNOp>();

 *	pkg: package import path, e.g. container/vector
 */

const (
	LOG = 5
)

func mkfwd(sym *LSym) {
	var dwn [LOG]int32
	var cnt [LOG]int32
	var lst [LOG]*Prog

	for i := 0; i < LOG; i++ {
		if i == 0 {
			cnt[i] = 1
		} else {
			cnt[i] = LOG * cnt[i-1]
		}
		dwn[i] = 1
		lst[i] = nil
	}

	i := 0
	for p := sym.Func().Text; p != nil && p.Link != nil; p = p.Link {
		i--
		if i < 0 {

	GCWriteBarrier    [8]*obj.LSym
	Goschedguarded    *obj.LSym
	Growslice         *obj.LSym
	InterfaceSwitch   *obj.LSym
	Memmove           *obj.LSym
	Msanread          *obj.LSym
	Msanwrite         *obj.LSym
	Msanmove          *obj.LSym
	Newobject         *obj.LSym
	Newproc           *obj.LSym
	Panicdivide       *obj.LSym
	Panicshift        *obj.LSym
	PanicdottypeE     *obj.LSym
	PanicdottypeI     *obj.LSym

func (s *LSym) WriteAddr(ctxt *Link, off int64, siz int, rsym *LSym, roff int64) {
	s.writeAddr(ctxt, off, siz, rsym, roff, objabi.R_ADDR)
}

// WriteWeakAddr writes an address of size siz into s at offset off.
// rsym and roff specify the relocation for the address.
// This is a weak reference.
func (s *LSym) WriteWeakAddr(ctxt *Link, off int64, siz int, rsym *LSym, roff int64) {