TF_CAPI_EXPORT extern void TF_MakeInternalErrorStatus(TF_Status* status,
                                                      const char* errMsg);

// TF_NewCheckpointReader() return the CheckpointReader that can be use to
// investigate or load the variable from the checkpoint file
typedef struct TF_CheckpointReader TF_CheckpointReader;
TF_CAPI_EXPORT extern TF_CheckpointReader* TF_NewCheckpointReader(
    const char* filename, TF_Status* status);

  TF_DeleteStatus(status);
#endif  // PLATFORM_WINDOWS
}
TEST(CAPI, ExecuteAdd) {
  ExecuteAdd(
      /*async=*/false,
      /*forward_input*/ false,
      /*tfrt*/ false);
}
// TODO(b/234067483): Investigate flakiness and re-enable.
TEST(CAPI, DISABLED_ExecuteAddAsync) {
  ExecuteAdd(
      /*async=*/true,
      /*forward_input*/ false,
      /*tfrt*/ false);
}
TEST(CAPI, ExecuteAddForward) {
  ExecuteAdd(

  cleanup_makefile()
  setup_python(environ_cp)

  if is_windows():
    environ_cp['TF_NEED_OPENCL'] = '0'
    environ_cp['TF_CUDA_CLANG'] = '0'
    # TODO(ibiryukov): Investigate using clang as a cpu or cuda compiler on
    # Windows.
    environ_cp['TF_DOWNLOAD_CLANG'] = '0'
    environ_cp['TF_NEED_MPI'] = '0'

  if is_macos():
    environ_cp['TF_NEED_TENSORRT'] = '0'

            information about the incompatible ops.
    *   Add lite.experimental.Analyzer API
        *   An experimental tool to analyze TFLite flatbuffer models. This API
            can be used to investigate TFLite model structure and check
            compatibility with GPU delegate.

*   Extension Types

    *   Add experimental API to define new Python classes that can be handled by