# API) is responsible for registering ops with libtensorflow_framework.so. In
# addition to this core set of ops, user libraries which are loaded (via
# TF_LoadLibrary/tf.load_op_library) register their ops and kernels with this
# shared object directly.
#
# For example, from Python tf.load_op_library loads a custom op library (via

// On success, place OK in status and return the newly created library handle.
// The caller owns the library handle.
//
// On failure, place an error status in status and return NULL.
TF_CAPI_EXPORT extern TF_Library* TF_LoadLibrary(const char* library_filename,
                                                 TF_Status* status);

// Get the OpList of OpDefs defined in the library pointed by lib_handle.
//

    target_oper_names[i] = c_target_oper_names[i];
  }
  TF_Run_Helper(s->session, handle, nullptr, input_pairs, output_names,
                c_outputs, target_oper_names, nullptr, status);
}

TF_Library* TF_LoadLibrary(const char* library_filename, TF_Status* status) {
  TF_Library* lib_handle = new TF_Library;
  status->status = tensorflow::LoadDynamicLibrary(
      library_filename, &lib_handle->lib_handle, &lib_handle->op_list.data,

    // Load the library.
    TF_Status* status = TF_NewStatus();
    string lib_path = tensorflow::GetDataDependencyFilepath(
        tensorflow::io::JoinPath("tensorflow", "c", "test_op1.so"));
    TF_Library* lib = TF_LoadLibrary(lib_path.c_str(), status);
    TF_Code code = TF_GetCode(status);
    string status_msg(TF_Message(status));
    TF_DeleteStatus(status);
    ASSERT_EQ(TF_OK, code) << status_msg;

    // Test op list.