Adding Force FastForward method

config_gen.py

@@ -48,7 +48,7 @@ def explaining_conf(
     explaining_cfg["explainer"] = {}
     explaining_cfg["explainer"]["cfg"] = explainer_config
     explaining_cfg["explainer"]["name"] = explainer
-    explaining_cfg["explainer"]["force"] = True
+    explaining_cfg["explainer"]["force"] = False
     explaining_cfg["explanation_type"] = "phenomenon"
     explaining_cfg["model"] = {}
     explaining_cfg["model"]["ckpt"] = model_kind

explaining_framework/utils/explaining/cmd_args.py

@@ -17,5 +17,11 @@ def parse_args() -> argparse.Namespace:
         type=int,
         help="GPU ID if cuda available",
     )
+    parser.add_argument(
+        "--force_fastforward",
+        type=bool,
+        help="It does not load file for elaredy existing files",
+        default=False,
+    )
 
     return parser.parse_args()

main.py

@@ -38,6 +38,9 @@ if __name__ == "__main__":
             )
             makedirs(attack_path)
             data_attack_path = os.path.join(attack_path, f"{index}.json")
+            if args.force_fastforward:
+                if os.path.exists(data_attack_path):
+                    continue
             data_attack = outline.get_attack(
                 attack=attack, item=item, path=data_attack_path
             )
@@ -66,6 +69,9 @@ if __name__ == "__main__":
             )
             makedirs(attack_path_)
             data_attack_path_ = os.path.join(attack_path_, f"{index}.json")
+            if args.force_fastforward:
+                if os.path.exists(data_attack_path_):
+                    continue
             attack_data = outline.get_attack(
                 attack=attack, item=item, path=data_attack_path_
             )

parallel.sh

@@ -1,8 +1,9 @@
 CONFIG_DIR=$1
 MAX_JOBS=${2:-3}
 GPU=${3:-0}
-SLEEP=${4:-1}
-MAIN=${5:-main}
+FFF=${4:-False}
+SLEEP=${5:-1}
+MAIN=${6:-main}
 
 (
   trap 'kill 0' SIGINT
@@ -11,7 +12,7 @@ MAIN=${5:-main}
     if [ "$CONFIG" != "$CONFIG_DIR/*.yaml" ]; then
       ((CUR_JOBS >= MAX_JOBS)) && wait -n
       export CUDA_VISIBLE_DEVICES=$GPU
-      python3 $MAIN.py --explaining_cfg $CONFIG --gpu_id $GPU &
+      python3 $MAIN.py --explaining_cfg $CONFIG --gpu_id $GPU --force-fastforward $FFF &
       echo $CONFIG
       sleep $SLEEP
       ((++CUR_JOBS))