if (type == FunctionFilter::SKIP_TARGET_ANNOTATION) {
      op.setAttr(kSkipTargetAnnotation, builder.getUnitAttr());
    } else if (type == FunctionFilter::INCLUDE_TARGET_ANNOTATION) {
      op.removeAttr(kSkipTargetAnnotation);
    }
  }
}

void ApplyTacFilter(ModuleOp module, const TacFilter& tac_filter,
                    SmallVector<Operation*>& filtered_ops, OpBuilder& builder) {

  // 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

  std::string func_name;
  if (auto outlined_func_name = op->template getAttrOfType<StringAttr>(
          TF::kClusterOutlinedFunctionNameAttr)) {
    op->removeAttr(TF::kClusterOutlinedFunctionNameAttr);
    func_name = outlined_func_name.str();
  } else {
    func_name = "_func";
  }

  func::FuncOp outlined_func =
      func::FuncOp::create(op.getLoc(), func_name, func_type);

                           llvm::StringRef host_device) {
  Block* launch_block = new Block;
  for (Operation* head_outside_compiled_op : head_outside_compiled_ops) {
    head_outside_compiled_op->removeAttr(kXlaOutsideCompilationAttr);
    head_outside_compiled_op->moveBefore(launch_block, launch_block->end());
  }

  mlir::tf_device::LaunchOp launch = CreateLaunchForBlock(

          << "quant-stablehlo-lift-quantizable-spots-as-functions failed.";
      signalPassFailure();
    }
  }

  // Remove all attr_map attributes.
  module_op.walk([](Operation* op) { op->removeAttr(kAttrMapAttribute); });

  // Perform selective quantization. Iterates over the quantization specs and
  // applies quantization methods to each matched lifted function.

      }
    });
  }
  // Remove `kSkipIslandOutlining` attributes.
  for (func::FuncOp func_op : getOperation().getOps<func::FuncOp>()) {
    if (func_op->hasAttr(mlir::TF::kSkipIslandOutlining)) {
      func_op->removeAttr(mlir::TF::kSkipIslandOutlining);
    }
  }
}

}  // namespace

std::unique_ptr<OperationPass<ModuleOp>>
CreateTFExecutorTPUV1IslandOutliningPass() {

    Operation* op, PatternRewriter& rewriter) const {
  // removeAttr will return nullptr if the attribute did not exist. Thus we can
  // return success(result) to indicate if this op has changed.
  return success(/*isSuccess=*/
                 op->removeAttr(kDebugModeOpQuantAttrName) ||
                 op->removeAttr(kDebugModeOpFloatAttrName));
}

}  // namespace quant

  func.walk([&](Operation *op) {
    if (op->getDialect() != tf_dialect) return;
    if (IsAllowListedOp(op)) return;
    if (op->hasAttr(kNoFallbackAttr)) {
      op->removeAttr(kNoFallbackAttr);
      return;
    }
    if (!ConvertToFlexOp(op)) signalPassFailure();
  });
}
}  // namespace internal

std::unique_ptr<OperationPass<func::FuncOp>> CreateFallbackToFlexOpsPass(

  // errors later on.  These ops were likely lifted out of the
  // tf_device.cluster in an earlier pass.
  module.walk([](Operation* op) {
    op->removeAttr(kXlaOutsideCompilationAttr);
    op->removeAttr(kXlaMapOutsideCompilationAttr);
  });

  if (failed(CheckPostconditions(module))) return signalPassFailure();
}
}  // namespace

                                PatternRewriter& rewriter) const override {
    const auto f_attr = mlir::dyn_cast<FlatSymbolRefAttr>(call_op.getFAttr());
    // removeAttr will return nullptr if no attribute was removed.
    if (!call_op->removeAttr(kQuantTraitAttrName) || !f_attr) {
      return failure();
    }
    if (!f_attr.getValue().starts_with(kCompositeFuncPrefix)) {
      return failure();
    }