Raising exception when any model exists

explaining_framework/utils/explaining/load_ckpt.py

@@ -7,12 +7,11 @@ import logging
 import os
 
 import torch
+from explaining_framework.utils.io import read_yaml
 from torch_geometric.graphgym.model_builder import create_model
 from torch_geometric.graphgym.train import GraphGymDataModule
 from torch_geometric.graphgym.utils.io import json_to_dict_list
 
-from explaining_framework.utils.io import read_yaml
-
 MODEL_STATE = "model_state"
 OPTIMIZER_STATE = "optimizer_state"
 SCHEDULER_STATE = "scheduler_state"
@@ -91,6 +90,12 @@ class LoadModelInfo(object):
             dataset_name_ = file["dataset"]["name"]
             if self.dataset_name == dataset_name_:
                 paths.append(os.path.dirname(path))
+        if len(paths) == 0:
+            logging.warning(
+                f"It does not exist any model trained for the dataset {self.dataset_name}"
+            )
+            return None
+        else:
             return paths
 
     def load_cfg(self, config_path):

explaining_framework/utils/explaining/outline.py

@@ -6,20 +6,6 @@ import os
 from typing import Any
 
 from eixgnn.eixgnn import EiXGNN
-from scgnn.scgnn import SCGNN
-from torch_geometric import seed_everything
-from torch_geometric.data import Batch, Data
-from torch_geometric.data.makedirs import makedirs
-from torch_geometric.explain import Explainer
-from torch_geometric.explain.config import ThresholdConfig
-from torch_geometric.explain.explanation import Explanation
-from torch_geometric.graphgym.config import cfg
-from torch_geometric.graphgym.loader import create_dataset
-from torch_geometric.graphgym.model_builder import cfg, create_model
-from torch_geometric.graphgym.utils.device import auto_select_device
-from torch_geometric.loader.dataloader import DataLoader
-from yacs.config import CfgNode as CN
-
 from explaining_framework.config.explainer_config.eixgnn_config import \
     eixgnn_cfg
 from explaining_framework.config.explainer_config.scgnn_config import scgnn_cfg
@@ -45,6 +31,19 @@ from explaining_framework.utils.io import (dump_cfg, is_exists,
                                            obj_config_to_str, read_json,
                                            set_printing, write_json,
                                            write_yaml)
+from scgnn.scgnn import SCGNN
+from torch_geometric import seed_everything
+from torch_geometric.data import Batch, Data
+from torch_geometric.data.makedirs import makedirs
+from torch_geometric.explain import Explainer
+from torch_geometric.explain.config import ThresholdConfig
+from torch_geometric.explain.explanation import Explanation
+from torch_geometric.graphgym.config import cfg
+from torch_geometric.graphgym.loader import create_dataset
+from torch_geometric.graphgym.model_builder import cfg, create_model
+from torch_geometric.graphgym.utils.device import auto_select_device
+from torch_geometric.loader.dataloader import DataLoader
+from yacs.config import CfgNode as CN
 
 all__captum = [
     "LRP",
@@ -211,6 +210,9 @@ class ExplainingOutline(object):
             model_dir=self.explaining_cfg.model.path,
             which=self.explaining_cfg.model.ckpt,
         )
+        if info.list_xp() is None:
+            raise ValueError
+
         self.model_info = info.set_info()
         self.model_signature = info.get_model_signature()