@@ -1,6 +1,7 @@
 from super_gradients.training.utils.utils import Timer, HpmStruct, WrappedModel, convert_to_tensor, get_param, tensor_container_to_device, random_seed
 from super_gradients.training.utils.checkpoint_utils import adapt_state_dict_to_fit_model_layer_names, raise_informative_runtime_error
 from super_gradients.training.utils.version_utils import torch_version_is_greater_or_equal
+from super_gradients.training.utils.config_utils import raise_if_unused_params, warn_if_unused_params
 
 __all__ = [
     "Timer",
@@ -13,4 +14,6 @@ __all__ = [
     "raise_informative_runtime_error",
     "random_seed",
     "torch_version_is_greater_or_equal",
+    "raise_if_unused_params",
+    "warn_if_unused_params",
 ]