it->setAttr(attr.getName(), attr.getValue());
    }
  }
}

// Adds `attrs` to all the operations between `begin` and `end`. Does not
// include `end`. The operations might be across multiple  blocks.
void AddAttributes(Block::iterator begin, Block::iterator end,
                   const NamedAttrList& attrs) {
  if (begin->getBlock() == end->getBlock()) {
    AddAttributesInSameBlock(begin, end, attrs);
  } else {

    state.addOperands(batch_norm.getOperands());
    if (side_input) state.operands.push_back(side_input);
    state.addTypes(batch_norm.getResultTypes());
    state.addAttributes(batch_norm->getAttrs());
    Operation *op = rewriter.create(state);
    rewriter.replaceOp(batch_norm, op->getResults());

    // Depending on the case, we may fuse the add, the relu, or both.

  const std::string tf_op_full_name = absl::StrCat("tf.", node_def.op());
  mlir::OperationState op_state(loc, tf_op_full_name);
  op_state.addOperands(func.getArguments());
  op_state.addTypes(output_tys);
  op_state.addAttributes(attrs);
  mlir::Operation* tf_op = op_builder.create(op_state);
  op_builder.create<mlir::func::ReturnOp>(loc, tf_op->getResults());

  // Run the decompose passes on the module

    llvm::SmallVector<mlir::Type, 4> output_tys;
    for (int i = 0; i < custom_op.getNumResults(); i++) {
      output_tys.push_back(custom_op.getType(i));
    }
    op_state.addTypes(output_tys);
    op_state.addAttributes(attr);
    auto stablehlo_op = builder.create(op_state);
    custom_op.replaceAllUsesWith(stablehlo_op);
    custom_op.erase();
  });
}

                      << ". Please make sure the op library for "
                      << parsed_op_name << " is linked properly";
      return failure();
    }
    op_state.addAttributes(attrs);

    Operation* tf_op = rewriter.create(op_state);
    rewriter.replaceOp(op, tf_op->getResults());

    // Special type fixes for TF Resource Tensors that are casted to

        mlir::SymbolRefAttr::get(builder.getContext(), func_names.at(body_idx));
    auto cond_attr =
        mlir::SymbolRefAttr::get(builder.getContext(), func_names.at(cond_idx));

    op_state.addAttribute("body", body_attr);
    op_state.addAttribute("cond", cond_attr);

    return absl::OkStatus();
  }
  if (auto* opts = op.builtin_options_2.AsStablehloScatterOptions()) {

    @GetMapping("/admin")
    public String adminForm(Model model) {
        model.addAttribute("versionRange", new VersionRange());
        return "admin";
    }

    @PostMapping("/admin")
    public String adminSubmit(@ModelAttribute VersionRange versionRange, Model model) {
        AdminController.INSTANCE.update(versionRange);
        model.addAttribute("versionRange", versionRange);
        return "admin";
    }

  return nullptr;
}

void TFLDialect::initialize() {
  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.cc.inc"
      >();
  addAttributes<
#define GET_ATTRDEF_LIST
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops_attrdefs.cc.inc"
      >();
  addInterfaces<TensorFlowLiteInlinerInterface,
                TensorFlowLiteDialectFoldInterface>();

            final Settings settings) {
        super(indexSettings, name, settings);
    }

    @Override
    public TokenStream create(final TokenStream tokenStream) {
        tokenStream.addAttribute(DisableGraphAttribute.class);
        return tokenStream;
    }

            posTags.addAll(tagList);
        }
    }

    @Override
    public TokenStream create(final TokenStream tokenStream) {
        final PartOfSpeechAttribute posAtt = tokenStream.addAttribute(PartOfSpeechAttribute.class);
        return new PosConcatenationFilter(tokenStream, posTags, () -> posAtt.getPartOfSpeech());
    }