final String attrValue
                @Inject ChangingAttributeRule(String attrValue) { this.attrValue = attrValue }
                void execute(ComponentMetadataContext context) {
                    context.details.allVariants {
                        attributes.attribute(Attribute.of("my.attribute.name", String), attrValue)
                    }
                }
            }

                                                     .begin())>::value>::type>
Status SetTypeAttribute(absl::string_view name, ContainerT types,
                        AttrValueMap* values) {
  AttrValue value;
  auto& type_list = *value.mutable_list();
  for (auto type : types) {
    DataType dtype;
    TF_RETURN_IF_ERROR(ConvertScalarTypeToDataType(type, &dtype));
    type_list.add_type(dtype);
  }

  }
  return ret;
}

string PrintTensor(const TensorProto& tensor_proto);

string PrintTensorProto(const TensorProto& proto);

string PrintAttrValue(StringPiece, const AttrValue& attr_value);

bool IsEmptyList(const AttrValue::ListValue& list);

string ToCamelCase(StringPiece str);

string SeparateNamespaces(StringPiece str);

// Returns a <string, bool> pair. The string is the C++ type name to be used for

        else strides
    )
    strides_attr = attr_value_pb2.AttrValue(
        list=attr_value_pb2.AttrValue.ListValue(i=strides_to_check)
    )

    if enable_per_channel_quantization:
      quantized_axis_attr = attr_value_pb2.AttrValue(i=3)
      quantized_dim_size_attr = attr_value_pb2.AttrValue(
          list=attr_value_pb2.AttrValue.ListValue(
              shape=[

  std::unique_ptr<DeviceMgr> device_mgr_;
  std::unique_ptr<FunctionLibraryDefinition> lib_def_;
  std::unique_ptr<ProcessFunctionLibraryRuntime> pflr_;

  std::unique_ptr<OpKernel> kernel_;
};

AttrValue BoolAttr(bool b) {
  AttrValue v;
  v.set_b(b);
  return v;
}

TEST_F(XlaKernelCreatorTest, OneFloatOneResourceArgument) {
  FunctionDef fdef = XTimesY();
  (*fdef.mutable_attr())["_XlaMustCompile"] = BoolAttr(true);

    // value here because FunctionDef instantiation does not allow placeholder
    // value for attributes.
    AttrValue device_ordinal_attr;
    device_ordinal_attr.set_i(0);
    protobuf::Map<string, AttrValue> attrs;
    attrs["_device_ordinal"] = device_ordinal_attr;
    std::unique_ptr<FunctionBody> host_fbody;
    const FunctionDef* host_fdef = fld->Find(host_func);

// Tests #tf_type.func attributes are exported as AttrValue.NameAttrList attributes
// with its attr field populated with nested attributes.

module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 458 : i32}} {
  func.func @main() {

    return {callee};
  }

  CallTargetListTy result;
  for (const auto& name_attr_pair : n.attrs()) {
    const AttrValue& attr_value = name_attr_pair.second;
    if (attr_value.value_case() == AttrValue::kFunc) {
      result.push_back(attr_value.func());
    } else if (attr_value.value_case() == AttrValue::kList) {
      result.insert(result.end(), attr_value.list().func().begin(),
                    attr_value.list().func().end());

  tensorflow::AttrValue attr_value;
  if (!attr_value.ParseFromArray(proto, proto_len)) {
    status->status = InvalidArgument("Unparseable AttrValue proto");
    return;
  }

  if (strcmp(attr_name, tensorflow::kColocationAttrName) == 0) {
    if (attr_value.value_case() != tensorflow::AttrValue::kList &&
        attr_value.value_case() != tensorflow::AttrValue::VALUE_NOT_SET) {
      status->status =

#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Extracts the attributes of a MLIR operation and populates the converted
// attributes in a proto map<string, AttrValue>.
Status GetAttrValuesFromOperation(
    mlir::Operation* inst, llvm::StringRef name,
    const tensorflow::OpRegistrationData* op_reg_data,
    bool ignore_unregistered_attrs, AttrValueMap* attributes);