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src/train.py

@@ -6,7 +6,7 @@ import torch
 import torch.nn as nn
 import torch.optim as optim
 from torch.utils.data import DataLoader
-from torch.cuda.amp import GradScaler, autocast
+# from torch.cuda.amp import GradScaler, autocast # Deprecated
 import numpy as np
 import pandas as pd
 from tqdm import tqdm
@@ -307,7 +307,7 @@ def validate_loss(model, valid_loader, criterion, device):
             tax_vector = batch['tax_vector'].to(device)
             labels = batch['labels'].to(device)
             
-            with autocast():
+            with torch.amp.autocast(device_type=device.type):
                 logits = model(input_ids, attention_mask, tax_vector)
                 loss = criterion(logits, labels)
             
@@ -439,7 +439,7 @@ def main():
         optimizer, T_0=args.T_0, T_mult=args.T_mult, eta_min=args.min_lr
     )
     
-    scaler = GradScaler()
+    scaler = torch.cuda.amp.GradScaler(enabled=(device.type == 'cuda'))
     
     # Pre-Load Ontology and GT for Evaluation
     ontologies = None
@@ -512,7 +512,7 @@ def main():
             
             optimizer.zero_grad()
             
-            with autocast():
+            with torch.amp.autocast(device_type=device.type):
                 logits = model(input_ids, attention_mask, tax_vector)
                 loss = criterion(logits, labels)