auto resultType =
          RankedTensorType::get(shape, inputType.getElementType(), extensions);
      arg.setType(resultType);
    }
    llvm::SmallVector<Type, 8> arg_types;
    for (auto arg : func.getArguments()) arg_types.push_back(arg.getType());
    func.setType(
        FunctionType::get(func.getContext(), arg_types,
                          func.front().getTerminator()->getOperandTypes()));

    //    {
    //        setGroupId( af.getGroupId() );
    //        setArtifactId( af.getArtifactId() );
    //        setVersion( af.getVersion() );
    //        setType( af.getType() );
    //        setScope( af.getScope() );
    //        setClassifier( af.getClassifier() );
    //        //setUri( af.getDownloadUrl() );
    //
    //        this.resolved = af.isResolved();
    //    }

  // tensor<x!tf_type.string>.
  auto tensor_string_type =
      RankedTensorType::get({}, TF::StringType::get(builder.getContext()));
  main_func.getArguments().front().setType(tensor_string_type);
  main_func.setType(
      FunctionType::get(builder.getContext(), {tensor_string_type},
                        main_func.getFunctionType().getResults()));

    static {
        Map<Type, String> map = new HashMap<>();
        map.put(Type.BYTE_TYPE, "0");
        map.put(Type.SHORT_TYPE, "0");
        map.put(Type.INT_TYPE, "0");
        map.put(Type.LONG_TYPE, "0L");
        map.put(Type.FLOAT_TYPE, "0.0f");
        map.put(Type.DOUBLE_TYPE, "0.0");
        map.put(Type.CHAR_TYPE, "'\\u0000'");
        map.put(Type.BOOLEAN_TYPE, "false");

    op.getResult().setType(conv_result_type);

    squeeze_op.getResult().setType(bts_op.getOutput().getType());

    // Connect `biasadd_op` with the output of `squeeze_op`.
    if (biasadd_op) {
      biasadd_op.setOperand(0, squeeze_op.getOutput());
      biasadd_op.getOutput().setType(squeeze_op.getOutput().getType());
    }
  } else {
    if (biasadd_op) biasadd_op.setOperand(0, op.getOutput());

    private final String name;

    NonIncrementalProcessingStrategy(String name, AnnotationProcessorResult result) {
        super(result);
        this.name = name;
        result.setType(UNKNOWN);
    }

    @Override
    public void recordProcessingInputs(Set<String> supportedAnnotationTypes, Set<? extends TypeElement> annotations, RoundEnvironment roundEnv) {

                                           quant::QuantParams quant_params) {
  Type expressed_type = value.getType();
  Type new_type = quant_params.castFromExpressedType(expressed_type);
  // This value isn't an expressed type (float), skip.
  if (!new_type) return;

  Block &block = value.getParentRegion()->front();
  Operation *op = value.getDefiningOp();
  if (op) {

    new_dequantize_op->setOperand(0, user_op->getResult(0));
    new_dequantize_op->getResult(0).setType(user_op->getResult(0).getType());
    user_op->getResult(0).replaceAllUsesExcept(new_dequantize_op->getResult(0),
                                               new_dequantize_op);
    user_op->getResult(0).setType(new_user_op_type);
  }

  LogicalResult matchAndRewrite(TF::PartitionedCallOp op,

        sitemapList.remove(sitemap);
    }

    public Sitemap[] getSitemaps() {
        return sitemapList.toArray(new Sitemap[sitemapList.size()]);
    }

    public void setType(final String type) {
        this.type = type;
    }

    public boolean isUrlSet() {
        return URLSET.equals(type);
    }

    public boolean isIndex() {
        return INDEX.equals(type);
    }

        this.className = className;
    }

    public String getClassName() {
        return className;
    }

    public IncrementalAnnotationProcessorType getType() {
        return type;
    }

    public void setType(IncrementalAnnotationProcessorType type) {
        this.type = type;
    }

    public long getExecutionTimeInMillis() {
        return executionTimeInMillis;
    }