Updated the algo signature in the MC PAD config

bob/pad/face/config/pytorch/autoencoder/mc_pad_config_bw_nir_d_128x128_face_10_relu.py

@@ -67,8 +67,8 @@ auto-encoder.
 
 from bob.ip.pytorch_extractor import MLPAlgorithm
 
-CONFIG_FILE = "mlp/batl_db_1296x10_relu_mlp.py"
-CONFIG_GROUP = "bob.learn.pytorch.config"
+CONFIG_FILE = "test_data/mlp_algo_test_config.py"
+CONFIG_GROUP = "bob.ip.pytorch_extractor"
 MODEL_FILE = "/idiap/temp/onikisins/project/ODIN/experiment_data/pad_experiments_bob4/batl_db/ae_refactor_test/batl_train_mlp_10_relu_algo_celeba_and_partial_3_layers_batl_features/experiment_1/model_25.pth"
 
 algorithm = MLPAlgorithm(config_file = CONFIG_FILE,
@@ -76,7 +76,8 @@ algorithm = MLPAlgorithm(config_file = CONFIG_FILE,
                          model_file = MODEL_FILE,
                          url = None,
                          archive_extension = '.tar.gz',
-                         frame_level_scores_flag = True)
+                         frame_level_scores_flag = True,
+                         mean_std_norm_flag = True)
 
 """
 In this case, score is predicted by a pre-trained MLP, **excluding** output sigmoid.