metadata.is_list = 1;
      metadata.list_size = 0;
      metadata.total_size = -1;
#define LIST_CASE(field, attr_type, ...)              \
  if (attr->list().field##_size() > 0) {              \
    metadata.type = attr_type;                        \
    metadata.list_size = attr->list().field##_size(); \
    __VA_ARGS__;                                      \
    break;                                            \

  };

  tensorflow::Status status = InitGraphPlugin(plugin_init);
  ASSERT_EQ(status.code(), tensorflow::error::FAILED_PRECONDITION);
  ASSERT_EQ(
      status.message(),
      "'device_type' field in TP_OptimizerRegistrationParams must be set.");
}

TEST(Grappler, OptimizeFuncNotSet) {
  auto plugin_init = [](TP_OptimizerRegistrationParams* const params,
                        TF_Status* const status) -> void {

    if (STRUCT_OBJ.struct_size == 0) {                                 \
      return absl::Status(absl::StatusCode::kFailedPrecondition,       \
                          "struct_size field in " #STRUCT_NAME         \
                          " must be set to " #SIZE_VALUE_NAME ".");    \
    }                                                                  \
  } while (0)

                                             fetcher);
  std::vector<char> out;
  // Read the second block; this should yield an OK status and a single byte.
  TF_EXPECT_OK(ReadCache(&cache, "", block_size, block_size, &out));
  EXPECT_EQ(out.size(), 1);
  // Now read the first block; this should yield an INTERNAL error because we
  // had already cached a partial block at a later position.