Modify tiliing unit test

Author: jaegukhyun

tests/unit/algorithms/detection/tiling/test_tiling_detection.py

@@ -225,6 +225,7 @@ def test_load_tiling_parameters(self, tmp_dir_path):
         output_model = ModelEntity(self.otx_dataset, task_env.get_model_configuration())
         task = MMDetectionTask(task_env, output_path=str(tmp_dir_path))
         model_ckpt = os.path.join(tmp_dir_path, "maskrcnn.pth")
+        task._init_task()
         torch.save(detector.state_dict(), model_ckpt)
         task._model_ckpt = model_ckpt
         task.save_model(output_model)

tests/unit/algorithms/detection/tiling/test_tiling_tile_classifier.py

@@ -129,6 +129,7 @@ def test_load_tile_classifier_parameters(self, tmp_dir_path):
         output_model = ModelEntity(self.dataset, task_env.get_model_configuration())
         task = MMDetectionTask(task_env, output_path=str(tmp_dir_path))
         task._model_ckpt = model_ckpt
+        task._init_task()
         task.save_model(output_model)
         for filename, model_adapter in output_model.model_adapters.items():
             with open(os.path.join(tmp_dir_path, filename), "wb") as write_file:
@@ -160,6 +161,7 @@ def test_load_tile_classifier_parameters(self, tmp_dir_path):
         output_model = ModelEntity(self.dataset, task_env.get_model_configuration())
         task = MMDetectionTask(task_env, output_path=str(tmp_dir_path))
         task._model_ckpt = tile_classifier_ckpt
+        task._init_task()
         task.save_model(output_model)
         for filename, model_adapter in output_model.model_adapters.items():
             with open(os.path.join(tmp_dir_path, filename), "wb") as write_file: