string AttrView::DefaultValue() const {
  const AttrValue &attr_value = attr_.default_value();
  switch (attr_value.value_case()) {
    case AttrValue::VALUE_NOT_SET:
      return "";
    case AttrValue::kType:
      return DataType_Name(attr_value.type());
    case AttrValue::kS:
      return "\"" + attr_value.s() + "\"";
    case AttrValue::kI:
      return std::to_string(attr_value.i());
    case AttrValue::kF:

        String tag = "tag", id = "id", css = "css", attrName = "attrName", attrValue = "attrValue";
        PrunedTag prunedtag = new PrunedTag(tag);
        prunedtag.setAttr(attrName, attrValue);
        prunedtag.setId(id);
        prunedtag.setCss(css);
        assertEquals("PrunedTag [tag=" + tag + ", id=" + id + ", css=" + css + ", attrName=" + attrName + ", attrValue=" + attrValue + "]",
                prunedtag.toString());
    }

      return builder->getStringAttr(value.s());
    case AttrValue::kF:
      return builder->getFloatAttr(builder->getF32Type(), value.f());
    case AttrValue::kB:
      return builder->getBoolAttr(value.b());
    case AttrValue::kType: {
      mlir::Type type;
      TF_RETURN_IF_ERROR(ConvertDataType(value.type(), *builder, &type));
      return mlir::TypeAttr::get(type);
    }
    case AttrValue::kShape:

                && StringUtils.compare(attrValue, other.attrValue) == 0;
    }

    public void setId(final String id) {
        this.id = id;
    }

    public void setCss(final String css) {
        this.css = css;
    }

    public void setAttr(final String name, final String value) {
        this.attrName = name;
        this.attrValue = value;
    }

    @Override

      AttrValue nested_value;
      TF_RETURN_IF_ERROR(ConvertAttribute(attr, &nested_value));
      switch (nested_value.value_case()) {
        case AttrValue::kS:
          list->add_s(nested_value.s());
          break;
        case AttrValue::kType:
          list->add_type(nested_value.type());
          break;
        case AttrValue::kShape:

namespace tensorflow {

using tsl::StatusOr;

// Converts non func AttrValue proto into an MLIR attribute. Func attribute is
// exclused in this function because the function might be renamed when the
// function definition is imported.
absl::StatusOr<mlir::Attribute> ConvertNonFuncAttributeValue(
    const AttrValue& value, mlir::Builder* builder);

// Converts all kinds of AttrValue proto into an MLIR attribute.

                    String attrValue = attrNode.getNodeValue();
                    if (StringUtil.isNotBlank(attrValue)) {
                        // if starting with www, append a protocol
                        if (attrValue.startsWith("www.")) {
                            attrValue = "http://" + attrValue;
                        }
                        return attrValue;
                    }
                }

                          const tensorflow::AttrValue& default_value,
                          const char* attr_name, TF_Status* status) {
  switch (default_value.value_case()) {
    case tensorflow::AttrValue::kS: {
      const string& v = default_value.s();
      TFE_OpSetAttrString(op, attr_name, v.data(), v.size());
      break;
    }
    case tensorflow::AttrValue::kI:

      }
    }
    case AttrValue::kB:
      return attr_value.b() ? "true" : "false";
    case AttrValue::kType:
      return DataType_Name(attr_value.type());
    case AttrValue::kShape:
      return PrintTensorShape(attr_value.shape());
    case AttrValue::kTensor:
      return PrintTensorProto(attr_value.tensor());
    case AttrValue::kList: {
      string ret = "{";

  def.add_input("input1");
  def.add_input("input2");
  def.add_input("input3");
  def.add_input("input3");
  def.add_input("input3");

  AttrValue v0;
  v0.set_type(DataType::DT_INT32);
  v0.set_i(3);
  (*def.mutable_attr())["NumInput3"] = v0;
  AttrValue v1;
  v1.set_type(DataType::DT_FLOAT);
  (*def.mutable_attr())["SomeDataTypeAttr"] = v1;