check test path to file

main.py

@@ -52,12 +52,13 @@ def main(path_to_config: str):
         verbose=config["prepare_data"]["val_data"]["verbose"],
     )
 
-    test_token_seq, test_label_seq = prepare_conll_data_format(
-        path=config["prepare_data"]["test_data"]["path"],
-        sep=config["prepare_data"]["test_data"]["sep"],
-        lower=config["prepare_data"]["test_data"]["lower"],
-        verbose=config["prepare_data"]["test_data"]["verbose"],
-    )
+    if "test_data" in config["prepare_data"]:
+        test_token_seq, test_label_seq = prepare_conll_data_format(
+            path=config["prepare_data"]["test_data"]["path"],
+            sep=config["prepare_data"]["test_data"]["sep"],
+            lower=config["prepare_data"]["test_data"]["lower"],
+            verbose=config["prepare_data"]["test_data"]["verbose"],
+        )
 
     # token2idx / label2idx
 
@@ -91,13 +92,14 @@ def main(path_to_config: str):
         preprocess=config["dataloader"]["preprocess"],
     )
 
-    testset = NERDataset(
-        token_seq=test_token_seq,
-        label_seq=test_label_seq,
-        token2idx=token2idx,
-        label2idx=label2idx,
-        preprocess=config["dataloader"]["preprocess"],
-    )
+    if "test_data" in config["prepare_data"]:
+        testset = NERDataset(
+            token_seq=test_token_seq,
+            label_seq=test_label_seq,
+            token2idx=token2idx,
+            label2idx=label2idx,
+            preprocess=config["dataloader"]["preprocess"],
+        )
 
     # collators
 
@@ -113,11 +115,12 @@ def main(path_to_config: str):
         percentile=100,  # hardcoded
     )
 
-    test_collator = NERCollator(
-        token_padding_value=token2idx[config["dataloader"]["token_padding"]],
-        label_padding_value=label2idx[config["dataloader"]["label_padding"]],
-        percentile=100,  # hardcoded
-    )
+    if "test_data" in config["prepare_data"]:
+        test_collator = NERCollator(
+            token_padding_value=token2idx[config["dataloader"]["token_padding"]],
+            label_padding_value=label2idx[config["dataloader"]["label_padding"]],
+            percentile=100,  # hardcoded
+        )
 
     # dataloaders
 
@@ -136,12 +139,13 @@ def main(path_to_config: str):
         collate_fn=val_collator,
     )
 
-    testloader = DataLoader(
-        dataset=testset,
-        batch_size=1,  # hardcoded
-        shuffle=False,  # hardcoded
-        collate_fn=test_collator,
-    )
+    if "test_data" in config["prepare_data"]:
+        testloader = DataLoader(
+            dataset=testset,
+            batch_size=1,  # hardcoded
+            shuffle=False,  # hardcoded
+            collate_fn=test_collator,
+        )
 
     # INIT MODEL
 
@@ -208,7 +212,7 @@ def main(path_to_config: str):
         model=model,
         trainloader=trainloader,
         valloader=valloader,
-        testloader=testloader,
+        testloader=testloader if "test_data" in config["prepare_data"] else None,
         criterion=criterion,
         optimizer=optimizer,
         device=device,