added tests to cover get_data_cfg function and StopLossNanTrainingHoo…

…k after_train_iter method

external/mmdetection/detection_tasks/apis/detection/config_utils.py

@@ -353,6 +353,7 @@ def cluster_anchors(config: Config, dataset: DatasetEntity, model: BaseDetector)
     return config, model
 
 
+@check_input_parameters_type()
 def get_data_cfg(config: Config, subset: str = 'train') -> Config:
     data_cfg = config.data[subset]
     while 'dataset' in data_cfg:

external/mmdetection/tests/ote_params_validation/test_ote_config_utils_params_validation.py

@@ -9,6 +9,7 @@
     cluster_anchors,
     config_from_string,
     config_to_string,
+    get_data_cfg,
     is_epoch_based_runner,
     patch_adaptive_repeat_dataset,
     patch_config,
@@ -416,3 +417,33 @@ def test_cluster_anchors_input_params_validation(self):
             unexpected_values=unexpected_values,
             class_or_function=cluster_anchors,
         )
+
+    @e2e_pytest_unit
+    def test_get_data_cfg_input_params_validation(self):
+        """
+        <b>Description:</b>
+        Check "get_data_cfg" function input parameters validation
+
+        <b>Input data:</b>
+        "get_data_cfg" function input parameters with unexpected type
+
+        <b>Expected results:</b>
+        Test passes if ValueError exception is raised when unexpected type object is specified as input parameter for
+        "get_data_cfg" function
+        """
+        correct_values_dict = {
+            "config": Config(),
+        }
+        unexpected_int = 1
+        unexpected_values = [
+            # Unexpected integer is specified as "config" parameter
+            ("config", unexpected_int),
+            # Unexpected integer is specified as "subset" parameter
+            ("subset", unexpected_int),
+        ]
+
+        check_value_error_exception_raised(
+            correct_parameters=correct_values_dict,
+            unexpected_values=unexpected_values,
+            class_or_function=get_data_cfg,
+        )

external/mmdetection/tests/ote_params_validation/test_ote_hooks_params_validation.py

@@ -12,6 +12,7 @@
     FixedMomentumUpdaterHook,
     OTELoggerHook,
     OTEProgressHook,
+    StopLossNanTrainingHook,
     ReduceLROnPlateauLrUpdaterHook,
 )
 from mmcv.runner import EpochBasedRunner
@@ -532,3 +533,22 @@ def test_reduce_lr_hook_before_run_params_validation(self):
         hook = self.hook()
         with pytest.raises(ValueError):
             hook.before_run(runner="unexpected string")  # type: ignore
+
+
+class TestStopLossNanTrainingHook:
+    @e2e_pytest_unit
+    def test_stop_loss_nan_train_hook_after_train_iter_params_validation(self):
+        """
+        <b>Description:</b>
+        Check StopLossNanTrainingHook object "after_train_iter" method input parameters validation
+
+        <b>Input data:</b>
+        StopLossNanTrainingHook object, "runner" non-BaseRunner type object
+
+        <b>Expected results:</b>
+        Test passes if ValueError exception is raised when unexpected type object is specified as
+        input parameter for "after_train_iter" method
+        """
+        hook = StopLossNanTrainingHook()
+        with pytest.raises(ValueError):
+            hook.after_train_iter(runner="unexpected string")  # type: ignore

external/mmdetection/tests/ote_params_validation/test_ote_train_task_params_validation.py

@@ -34,7 +34,7 @@ def model():
         )
 
     @e2e_pytest_unit
-    def test_train_task_input_params_validation(self):
+    def test_train_task_train_input_params_validation(self):
         """
         <b>Description:</b>
         Check OTEDetectionTrainingTask object "train" method input parameters validation