{
vivante_handle_s *vivante = (vivante_handle_s *) backend_private;
if (!vivante) {
- g_error ("[vivante backend] ml_vivante_deinit called with invalid backend_private");
+ g_critical ("[vivante backend] invalid backend_private");
return HAL_ML_ERROR_INVALID_PARAMETER;
}
const GstTensorFilterProperties *prop = (const GstTensorFilterProperties *) prop_;
vivante_handle_s *vivante = (vivante_handle_s *) backend_private;
if (!vivante) {
- g_error ("[vivante backend] ml_vivante_configure_instance called with invalid backend_private");
+ g_critical ("[vivante backend] invalid backend_private");
return HAL_ML_ERROR_INVALID_PARAMETER;
}
GstTensorMemory *output = (GstTensorMemory *) output_;
vivante_handle_s *vivante = (vivante_handle_s *) backend_private;
if (!vivante) {
- g_error ("[vivante backend] ml_vivante_invoke called with invalid backend_private");
+ g_critical ("[vivante backend] invalid backend_private");
return HAL_ML_ERROR_INVALID_PARAMETER;
}
ml_vivante_get_framework_info (void *backend_private, void *fw_info)
{
GstTensorFilterFrameworkInfo *info = (GstTensorFilterFrameworkInfo *) fw_info;
- info->name = "vivante-tizen-hal";
+ info->name = "vivante";
info->allow_in_place = FALSE;
info->allocate_in_invoke = FALSE;
info->run_without_model = FALSE;
vivante_handle_s *vivante = (vivante_handle_s *) backend_private;
if (!vivante) {
- g_error ("[vivante backend] ml_vivante_get_model_info called with invalid backend_private");
+ g_critical ("[vivante backend] invalid backend_private");
return HAL_ML_ERROR_INVALID_PARAMETER;
}