Methods: sortedFuncs(t.methods, allMethods),
		}
		i++
	}

	slices.SortFunc(list, func(a, b *Type) int {
		return strings.Compare(a.Name, b.Name)
	})

	return list
}

func removeStar(s string) string {
	if len(s) > 0 && s[0] == '*' {
		return s[1:]
	}
	return s
}

func sortedFuncs(m methodSet, allMethods bool) []*Func {
	list := make([]*Func, len(m))
	i := 0

					return err
				}
				return nil
			}, retry.Delay(1*time.Second), retry.Timeout(300*time.Second))
			// check tag removed
			if strings.Contains(httpMetricVal, removedTag) {
				t.Errorf("failed to remove tag: %v", removedTag)
			}
			util.ValidateMetric(t, cluster, promInst, httpDestinationQuery, 1)
			util.ValidateMetric(t, cluster, promInst, grpcDestinationQuery, 1)

         function_name.contains("conv3d"))) {
      call_op->removeAttr(kQuantTraitAttrName);
    }

    // TODO(b/270906404): Support weight-only gather for uniform quantized opset
    // in PTQ mode
    if (target_opset_ == OpSet::UNIFORM_QUANTIZED &&
        function_name.contains("gather")) {
      call_op->removeAttr(kQuantTraitAttrName);
    }

    return failure();
  }

        if (!f->hasAttr(kFromXlaCallModuleAttrName)) {
          return WalkResult::advance();
        }

        auto cloned = llvm::cast<func::FuncOp>(builder.clone(*f));
        cloned->removeAttr(kFromXlaCallModuleAttrName);

        if (f == entry_func) {
          // Entry function must be public and has symbol name "@main".
          cloned.setPublic();
          cloned.setName(kStablehloMainFunctionName);

                                PatternRewriter& rewriter) const override {
    // Remove `_tpu_replicate` attributes on each operation first.
    if (op->hasAttr(tensorflow::kTPUReplicateAttr)) {
      op->removeAttr(tensorflow::kTPUReplicateAttr);
      return success();
    }

    // Remove TPU operations.
    if (isa<TF::TPUReplicateMetadataOp, TF::TPUCompilationResultOp,
            TF::TPUOrdinalSelectorOp>(op)) {

		if err != nil {
			return err
		}
		// nolint
		return fmt.Errorf("creating tag would conflict, pass --skip-confirmation to proceed:\n%v\n", o)
	}
	return nil
}

// removeTag removes an existing revision tag.
func removeTag(ctx context.Context, kubeClient kubernetes.Interface, tagName string, skipConfirmation bool, w io.Writer) error {
	webhooks, err := GetWebhooksWithTag(ctx, kubeClient, tagName)
	if err != nil {

    AddCallOpInWhileOpRegion(while_op.getCond(), cond);
    while_op->removeAttr("cond");
    auto body = symbol_table.lookup<mlir::func::FuncOp>(
        while_op->getAttr("body").cast<mlir::FlatSymbolRefAttr>().getValue());
    AddCallOpInWhileOpRegion(while_op.getBody(), body);
    while_op->removeAttr("body");
  });
}

void AddRegionsForStableHLOOp(mlir::ModuleOp module) {

    auto global_tensor = kv.first;
    const auto& global_tensor_uses = kv.second;
    if (IsImmutable(global_tensor, global_tensor_uses, resource_analyzer)) {
      global_tensor->removeAttr("is_mutable");
    }
  }
}

void EraseUnusedGlobalTensors(ModuleOp module,
                              const GlobalTensorUsesMap& global_tensor_uses) {
  for (auto global_tensor :

    }

    // The OK status means this op is quantizable. Return failure since the
    // pattern doesn't rewrite anything yet.
    if (check_status.ok()) return failure();
    call_op->removeAttr(kQuantTraitAttrName);
    removeAttrMapAttribute(call_op, function_name, check_status.message());
    return success();
  }

  // Get the quantization method to apply to this composite function. If set,

  // nested ops.
  for (Operation* cluster_op : cluster_ops) {
    cluster_op->moveBefore(body, body->end());
    cluster_op->walk([&](Operation* inner_op) {
      inner_op->removeAttr(mlir::TF::kReplicationInfoAttr);
      inner_op->removeAttr(mlir::TF::kCompileDeviceTypeAttr);

      if (auto attr = inner_op->getAttrOfType<StringAttr>(kDeviceAttr)) {
        // Preserve device attribute if the op is placed on a replicated core