}
  TypeAttr type_attr = TypeAttr::get(new_type);
  auto quantize = builder.create<TFL::QuantizeOp>(value.getLoc(), new_type,
                                                  value, type_attr);
  auto dequantize = builder.create<TFL::DequantizeOp>(
      value.getLoc(), expressed_type, quantize.getOutput());
  value.replaceAllUsesWith(dequantize);

                                                    TypeRange(types), result);
      new_forward_ops.insert(replicated_output);
      // TODO(bfontain): Check for other attributes.
      replicated_output->setAttr(kDevice, builder.getStringAttr(""));
      TF::TPUReplicatedInputOp input = builder.create<TF::TPUReplicatedInputOp>(

func (c *sigctxt) pc() uint64 { return c.regs().mc_gpregs.gp_sepc }

func (c *sigctxt) sigcode() uint64 { return uint64(c.info.si_code) }
func (c *sigctxt) sigaddr() uint64 { return c.info.si_addr }

func (c *sigctxt) set_pc(x uint64) { c.regs().mc_gpregs.gp_sepc = x }
func (c *sigctxt) set_ra(x uint64) { c.regs().mc_gpregs.gp_ra = x }
func (c *sigctxt) set_sp(x uint64) { c.regs().mc_gpregs.gp_sp = x }

  const size_t num_moved_children =
      old_parallel_execute.getRegions().size() - 1;
  *new_parallel_execute = builder->create<mlir::tf_device::ParallelExecuteOp>(
      old_parallel_execute->getLoc(),
      num_moved_children + num_cores_per_replica, concatenated_output_types);

  // `cluster_idx` is the index of the child with the `ClusterFuncOp`, which
  // will be replaced.
  int cluster_idx = -1;

      }
    }
  };

  for (int i = 0, e = func.getNumArguments(); i != e; ++i) {
    BlockArgument arg = func.getArgument(i);
    auto* arg_block = arg.getOwner();
    add_quantize_op(arg.getLoc(), arg.getType(), arg_block,
                    std::next(arg_block->begin(), i), arg, i);
  }

  return false;
}

bool PrepareQuantizePass::RemoveRedundantStats(func::FuncOp func) {

// An embedding implementation can provide a SetOp if desired.
// (The panicking SetOp is with the other panics below.)
func (n *miniNode) Op() Op            { return n.op }
func (n *miniNode) Pos() src.XPos     { return n.pos }
func (n *miniNode) SetPos(x src.XPos) { n.pos = x }
func (n *miniNode) Esc() uint16       { return n.esc }
func (n *miniNode) SetEsc(x uint16)   { n.esc = x }

const (
	miniTypecheckShift = 0

    if (!parent_op) continue;
    builder.setInsertionPoint(parent_op);

    // Recreate the operation by using the wrapper's operands and return types.
    // TODO(fengliuai): copy the regions.
    OperationState state(op->getLoc(), op->getName().getStringRef(),
                         parent_op->getOperands(), parent_op->getResultTypes(),
                         op->getAttrs(), op->getSuccessors());
    Operation* inlined = builder.create(state);

	return *(*uint64)(add(unsafe.Pointer(c.info), 16))
}

func (c *sigctxt) set_r28(x uint64)  { c.regs().sc_regs[28] = x }
func (c *sigctxt) set_r30(x uint64)  { c.regs().sc_regs[30] = x }
func (c *sigctxt) set_pc(x uint64)   { c.regs().sc_pc = x }
func (c *sigctxt) set_sp(x uint64)   { c.regs().sc_regs[29] = x }
func (c *sigctxt) set_link(x uint64) { c.regs().sc_regs[31] = x }

		base.FatalfAt(pos, "misuse of method type: %v", typ)
	}
	types.CalcSize(typ)

	sym := &types.Sym{
		Name: autotmpname(len(curfn.Dcl)),
		Pkg:  types.LocalPkg,
	}
	name := curfn.NewLocal(pos, sym, typ)
	name.SetEsc(ir.EscNever)
	name.SetUsed(true)
	name.SetAutoTemp(true)

	return name
}

var (
	autotmpnamesmu sync.Mutex
	autotmpnames   []string
)

    auto decomposition = mlir::cast<FlatSymbolRefAttr>(calledComputations[0]);

    auto composite = rewriter.create<mlir::stablehlo::CompositeOp>(
        op.getLoc(), op.getResultTypes(), op.getOperands(), name.str(), attrs,
        decomposition.getValue());
    rewriter.replaceOp(op, composite.getResults());
    return success();
  }
};