squeeze_op, "result for current op has more than 1 use");
    }
    // Make sure that the axis in `expand_op` is constant.
    if (auto const_op =
            llvm::dyn_cast<TF::ConstOp>(expand_op.getDim().getDefiningOp())) {
      expand_axis = (*mlir::cast<DenseElementsAttr>(const_op.getValue())
                          .getValues<APInt>()
                          .begin())

      if (input.getDefiningOp() == nullptr) continue;

      // TODO(b/172517537): make this work with non-PTQ case.
      if (llvm::isa<func::ConstantOp, arith::ConstantOp, TFL::ConstOp>(
              input.getDefiningOp())) {
        // Tensors with derived scale are biases, and handled in propagation.
        if (tensor_property.use_derived_scale) continue;

	if crdAPIEnabled {
		crdRegistrationController = crdregistration.NewCRDRegistrationController(
			crds,
			autoRegistrationController)
	}

	// Imbue all builtin group-priorities onto the aggregated discovery
	if aggregatorConfig.GenericConfig.AggregatedDiscoveryGroupManager != nil {
		for gv, entry := range apiVersionPriorities {

// TODO(b/158266710): Support CPU MKL configurations.

#define GEN_PASS_DEF_FUSEDKERNELMATCHERPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.h.inc"

// Optimizes TF computations by fusing subgraphs/nodes onto more efficient
// implementations to decrease the number of operations needed to perform a
// computation.
struct FusedKernelMatcherPass
    : public impl::FusedKernelMatcherPassBase<FusedKernelMatcherPass> {

// active chunk which new Go values are bump-allocated into and a list of chunks
// that were exhausted when allocating into the arena. Once the arena is freed,
// it frees all full chunks it references, and places the active one onto a reuse
// list for a future arena to use. Each arena keeps its list of referenced chunks
// explicitly live until it is freed. Each user arena also maps to an object which

void SetAllVarIsInitializedToTrue(Block* block) {
  auto builder = OpBuilder::atBlockBegin(block);
  TF::ConstOp const_true = nullptr;
  for (auto op :
       llvm::make_early_inc_range(block->getOps<TF::VarIsInitializedOp>())) {
    builder.setInsertionPoint(op);
    if (!const_true)
      const_true = builder.create<TF::ConstOp>(
          op.getLoc(),
          DenseIntElementsAttr::get(

	for _, err := range errs {
		fmt.Fprintf(&buf, "%s\n", err.Error())
	}
	return errors.New(buf.String())
}

func splitOutput(out string, wantAuto bool) []string {
	// gc error messages continue onto additional lines with leading tabs.
	// Split the output at the beginning of each line that doesn't begin with a tab.
	// <autogenerated> lines are impossible to match so those are filtered out.
	var res []string

	}
	// Copy over the new tier configs
	for tier, cfg := range newConfig.Tiers {
		config.Tiers[tier] = cfg
	}
	config.lastRefreshedAt = UTCNow()
	return nil
}

// Save saves tier configuration onto objAPI
func (config *TierConfigMgr) Save(ctx context.Context, objAPI ObjectLayer) error {
	if objAPI == nil {
		return errServerNotInitialized
	}

	pr, opts, err := globalTierConfigMgr.configReader(ctx)

	// Set m->sched.sp = SP, so that if a panic happens
	// during the function we are about to execute, it will
	// have a valid SP to run on the g0 stack.
	// The next few lines (after the havem label)
	// will save this SP onto the stack and then write
	// the same SP back to m->sched.sp. That seems redundant,
	// but if an unrecovered panic happens, unwindm will
	// restore the g->sched.sp from the stack location

	// Set m->sched.sp = SP, so that if a panic happens
	// during the function we are about to execute, it will
	// have a valid SP to run on the g0 stack.
	// The next few lines (after the havem label)
	// will save this SP onto the stack and then write
	// the same SP back to m->sched.sp. That seems redundant,
	// but if an unrecovered panic happens, unwindm will
	// restore the g->sched.sp from the stack location