int num_values) override {
    op_->node_builder.Attr(attr_name,
                           ArraySlice<const float>(values, num_values));
    return absl::OkStatus();
  }
  Status SetAttrIntList(const char* attr_name, const int64_t* values,
                        int num_values) override {
    op_->node_builder.Attr(
        attr_name, ArraySlice<const int64_t>(

  }
}

void TFE_OpSetAttrIntList(TFE_Op* op, const char* attr_name,
                          const int64_t* values, int num_values) {
  auto s =
      tensorflow::unwrap(op)->SetAttrIntList(attr_name, values, num_values);
  if (!s.ok()) {
    LOG(WARNING) << "Unable to set attribute: " << attr_name;
  }
}

void TFE_OpSetAttrTypeList(TFE_Op* op, const char* attr_name,

  EXPECT_EQ(31415, value);
}

TEST_F(CApiAttributesTest, IntList) {
  const int64_t list[] = {1, 2, 3, 4};
  const size_t list_size = TF_ARRAYSIZE(list);

  auto desc = init("list(int)");
  TF_SetAttrIntList(desc, "v", list, list_size);

  auto oper = TF_FinishOperation(desc, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  int64_t values[list_size];

  }
}

void TF_SetAttrInt(TF_OperationDescription* desc, const char* attr_name,
                   int64_t value) {
  desc->node_builder.Attr(attr_name, static_cast<int64_t>(value));
}

void TF_SetAttrIntList(TF_OperationDescription* desc, const char* attr_name,
                       const int64_t* values, int num_values) {
  desc->node_builder.Attr(
      attr_name, ArraySlice<const int64_t>(