enable deelab v3 TC

Signed-off-by: jiseong.oh <jiseong.oh@samsung.com>

Author: Jiseong-oh

backends/samsung/test/models/test_deeplab_v3.py

@@ -14,7 +14,6 @@
 
 
 class TestMilestoneDeepLabV3(unittest.TestCase):
-    @unittest.skip("Need to be fixed issue")
     def test_dl3_fp16(self):
         model = DeepLabV3ResNet50Model().get_eager_model()
         example_input = DeepLabV3ResNet50Model().get_example_inputs()

backends/samsung/test/utils/runtime_executor.py

@@ -142,14 +142,14 @@ def run_on_device(self) -> Tuple[torch.Tensor]:
                 else:
                     break
 
-            num_of_output_files = len(os.listdir(host_output_save_dir))
+            target_output_save_dir = os.path.join(host_output_save_dir, "output")
+            num_of_output_files = len(os.listdir(target_output_save_dir))
             assert num_of_output_files == len(
                 model_outputs
             ), f"Number of outputs is invalid, expect {len(model_outputs)} while got {num_of_output_files}"
 
             result = []
             for idx in range(num_of_output_files):
-                target_output_save_dir = os.path.join(host_output_save_dir, "output")
                 output_array = np.fromfile(
                     os.path.join(target_output_save_dir, f"output_{idx}.bin"),
                     dtype=np.uint8,