// current test name.
  //
  // Since the test name contains `/` (due to parameters), this function
  // replaces `/` with `_`.
  //
  // We trade in one extra initialization for readability.
  ModularFileSystemTest() {
    const std::string test_name = tensorflow::str_util::StringReplace(
        ::testing::UnitTest::GetInstance()->current_test_info()->name(), "/",

// if the status is not ok.
TF_CAPI_EXPORT extern int TF_OpIsStateful(const char* op_type,
                                          TF_Status* status);

// Platform specific initialization routine. Very few platforms actually require
// this to be called.
TF_CAPI_EXPORT void TF_InitMain(const char* usage, int* argc, char*** argv);

                                                  TF_Status* status);

// Set logical devices to the context's device manager.
// If logical devices are already configured at context initialization
// through TFE_ContextOptions, this method should not be called.
TF_CAPI_EXPORT extern void TFE_SetLogicalCpuDevices(TFE_Context* ctx,
                                                    int num_cpus,

// TFE_ContextUpdateServerDefWithTimeout to be simple wrappers around the same
// C++ function.
// Retries are used for CreateContext calls, which is used in
// ParameterServerStrategy initialization to be robust to worker preemption.
TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeoutAndRetries(
    TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len,

constexpr int TF_FILESYSTEM_OPS_API = 0;
constexpr int TF_FILESYSTEM_OPS_ABI = 0;
constexpr size_t TF_FILESYSTEM_OPS_SIZE = sizeof(TF_FilesystemOps);
// LINT.ThenChange()

/// SECTION 4. Plugin registration and initialization
/// ----------------------------------------------------------------------------
///
/// In this section we define the API used by core TensorFlow to initialize a

        multiple times. This is because it would produce the same values each
        time, which may not be intended.
*   API changes under `tf.experimental.dtensor`:
    *   New API for initialization of CPU/GPU/TPU in dtensor.
        `dtensor.initialize_accelerator_system` and
        `dtensor.shutdown_accelerator_system`.
    *   The following existing API will be removed: