// Runs the analysis and populates `control_predecessors_` for `op`.
  void AnalyzeOp(Operation* op);

  // Updates `control_predecessors_` for given `resource_id` and `op`.
  void AddPredecessorsForAccess(ResourceId resource_id, Operation* op,
                                bool read_only);

  // Updates resource access for given `resource_id` and `op` in
  // `per_resource_access_info_` and `op_to_resource_ids_`.

// Returns the entry function name for the given tf.XlaCallModule op. Returns
// empty string if such attribute does not exist.
StringRef GetEntryFunctionName(TF::XlaCallModuleOp op);

// Checks whether the given op contains QuantizationTrait::FullyQuantizable.
inline bool HasQuantizableTrait(Operation* op) {
  return op->hasAttrOfType<StringAttr>(kQuantTraitAttrName) &&
         op->getAttrOfType<StringAttr>(kQuantTraitAttrName).getValue().str() ==

      rewriter.replaceOpWithNewOp<tf_device::ReturnOp>(return_op, cluster_vals);

  // Rewrite the cluster op.
  rewriter.setInsertionPoint(op);
  auto new_op = rewriter.create<tf_device::ClusterOp>(
      op->getLoc(), new_return.getOperandTypes(), op->getOperands(),
      op->getAttrs());
  rewriter.inlineRegionBefore(op.getBodyRegion(), new_op.getBodyRegion(),
                              new_op.getBodyRegion().end());

  int idx = 0;

  LogicalResult matchAndRewrite(TF::TensorListPopBackOp op,
                                PatternRewriter& rewriter) const override {
    // It is currently not possible to easily pack the output of a multi-result
    // op into an op with a single varidic output in `.td`.
    auto converted = rewriter.create<TFL::CustomOp>(
        op->getLoc(), op->getResultTypes(), op->getOperands(),

TF_CAPI_EXPORT extern void TFE_DeleteOp(TFE_Op* op);

// Returns the op or function name `op` will execute.
//
// The returned string remains valid throughout the lifetime of 'op'.
TF_CAPI_EXPORT extern const char* TFE_OpGetName(const TFE_Op* op,
                                                TF_Status* status);
TF_CAPI_EXPORT extern TFE_Context* TFE_OpGetContext(const TFE_Op* op,

    int quantize_operand_num = quant_op.second;

    Type expressed_type = op.getResult().getType();
    Type cast_type = quant_type.castFromExpressedType(expressed_type);

    // Insert DQ-op if it does not exist yet. Otherwise, just rewire without
    // creating a new DQ-op.
    for (auto connected_op : op->getUsers()) {
      auto q_op =
          llvm::dyn_cast_or_null<quantfork::QuantizeCastOp>(connected_op);

    }
  }
}
node {
  name: "sequential/quant_dense/MatMul/ReadVariableOp"
  op: "Identity"
  input: "sequential/quant_dense/MatMul/ReadVariableOp/resource"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
}
node {
  name: "sequential/quant_dense/MatMul/kquant/FakeQuantWithMinMaxVars/ReadVariableOp/resource"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }

	case OPLUS, ONEG, OBITNOT, ONOT, ORECV:
		// Unary
		n := n.(*UnaryExpr)
		fmt.Fprintf(s, "%v", n.Op())
		if n.X != nil && n.X.Op() == n.Op() {
			fmt.Fprint(s, " ")
		}
		exprFmt(n.X, s, nprec+1)

	case OADDR:
		n := n.(*AddrExpr)
		fmt.Fprintf(s, "%v", n.Op())
		if n.X != nil && n.X.Op() == n.Op() {
			fmt.Fprint(s, " ")
		}
		exprFmt(n.X, s, nprec+1)

	case ODEREF:
		n := n.(*StarExpr)

  auto xla_compile = NodeWith(Op("_XlaCompile"), Attr("must_compile", false));
  auto predicated_compilation_key =
      NodeWith(Op("Switch"), Inputs(Out(0, xla_compile), Out(1, xla_compile)));
  auto xla_run =
      NodeWith(Op("_XlaRun"), Inputs(Out(1, predicated_compilation_key)));
  auto tf_call =
      NodeWith(Op("StatefulPartitionedCall"),
               CtrlDeps(NodeWith(Op("Identity"),

		op = "MOVBS" + op[4:] + suffix
	case LDRH_EQ, UXTH_EQ:
		op = "MOVHU" + op[4:] + suffix
	case LDRSH_EQ:
		op = "MOVHS" + op[5:] + suffix
	case SXTH_EQ:
		op = "MOVHS" + op[4:] + suffix
	case STR_EQ:
		op = "MOVW" + op[3:] + suffix
		args[0], args[1] = args[1], args[0]
	case STRB_EQ:
		op = "MOVB" + op[4:] + suffix
		args[0], args[1] = args[1], args[0]
	case STRH_EQ:
		op = "MOVH" + op[4:] + suffix