Raising exception when any model exists

explaining_framework/utils/config_gen.py

@@ -2,9 +2,11 @@ import glob
 import os
 import shutil
 
-from explaining_framework.utils.io import write_yaml
+from explaining_framework.utils.io import read_yaml, write_yaml
 from torch_geometric.data.makedirs import makedirs
-from torch_geometric.graphgym.loader import load_pyg_dataset
+
+# from torch_geometric.graphgym.loader import load_pyg_dataset
+
 
 
 def chunkizing_list(l, n):
@@ -135,12 +137,21 @@ if "__main__" == __name__:
     # continue
     # else:
     # write_yaml(explaining_cfg, PATH)
-    configs = [path for path in glob.glob(os.path.join(explaining_folder, "*.yaml"))]
-    for index, config_chunk in enumerate(
-        chunkizing_list(configs, int(len(configs) / 5))
-    ):
-        PATH_ = os.path.join(explaining_folder, f"gpu={index}")
-        makedirs(PATH_)
-        for path in config_chunk:
-            filename = os.path.basename(path)
-            shutil.copy2(path, os.path.join(PATH_, filename))
+    configs = [
+        path for path in glob.glob(os.path.join(explaining_folder, "**", "*.yaml"))
+    ]
+    for path in configs:
+        data = read_yaml(path)
+        data["model"][
+            "path"
+        ] = "/media/data/SIC/araison/exps/pyg_fork/graphgym/results/graph_classif_base_grid_graph_classif_grid"
+        write_yaml(data, path)
+
+    # for index, config_chunk in enumerate(
+    # chunkizing_list(configs, int(len(configs) / 5))
+    # ):
+    # PATH_ = os.path.join(explaining_folder, f"gpu={index}")
+    # makedirs(PATH_)
+    # for path in config_chunk:
+    # filename = os.path.basename(path)
+    # shutil.copy2(path, os.path.join(PATH_, filename))

explaining_framework/utils/explaining/load_ckpt.py

@@ -7,11 +7,12 @@ 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"