ru char to en

src/bert_training_ddp.py

@@ -26,7 +26,7 @@ from torch.distributed.fsdp.wrap import (
 )
 import functools
 
-def save_checkpoint(credit_dataset, encoder, model, optimizer, epoch, loss, rocauc, сheсkpoints_dir):
+def save_checkpoint(credit_dataset, encoder, model, optimizer, epoch, loss, rocauc, checkpoints_dir):
     checkpoint = {
         'encoder': {
             'state_dict': encoder.state_dict(),
@@ -45,7 +45,7 @@ def save_checkpoint(credit_dataset, encoder, model, optimizer, epoch, loss, roca
         'train_uniq_client_ids_path': credit_dataset.train_uniq_client_ids_path,
         'test_uniq_client_ids_path': credit_dataset.test_uniq_client_ids_path
     }
-    path = сheсkpoints_dir + f"epoch_{epoch}_{rocauc:.4f}.pth"
+    path = checkpoints_dir + f"epoch_{epoch}_{rocauc:.4f}.pth"
     # if torch.distributed.get_rank() == 0:
     torch.save(checkpoint, path)
     print(f"\nCheckpoint saved to {path}")
@@ -330,11 +330,11 @@ if __name__ == "__main__":
         comment = sys.argv[1]
         logs_dir = f'logs/{datetime.now().date()}_{datetime.now().hour:02d}_{datetime.now().minute:02d}_{datetime.now().second:02d}_{comment}/'
         writer = SummaryWriter(logs_dir)
-        сheсkpoints_dir = f'checkpoints/{datetime.now().date()}_{datetime.now().hour:02d}_{datetime.now().minute:02d}_{datetime.now().second:02d}_{comment}/'
+        checkpoints_dir = f'checkpoints/{datetime.now().date()}_{datetime.now().hour:02d}_{datetime.now().minute:02d}_{datetime.now().second:02d}_{comment}/'
         script_snapshot_path = Path(logs_dir + Path(sys.argv[0]).name)
-        Path(сheсkpoints_dir).mkdir(parents=True, exist_ok=True)
+        Path(checkpoints_dir).mkdir(parents=True, exist_ok=True)
         print("Logs dir:", logs_dir)
-        print("Chekpoints dir:", сheсkpoints_dir)
+        print("Chekpoints dir:", checkpoints_dir)
         script_snapshot_path.write_bytes(Path(sys.argv[0]).read_bytes()) # copy this version of script
         script_snapshot_path.chmod(0o400) # with read-only permission
 
@@ -432,7 +432,7 @@ if __name__ == "__main__":
                         save_checkpoint(
                             credit_dataset=credit_train_dataset,
                             encoder = model.module.encoder, model=model.module.classifier, optimizer=optimizer, epoch=epoch, 
-                            loss=ddp_loss[0], rocauc=rocauc, сheсkpoints_dir=сheсkpoints_dir)
+                            loss=ddp_loss[0], rocauc=rocauc, checkpoints_dir=checkpoints_dir)
                     torch.distributed.barrier()
     except KeyboardInterrupt:
         print()
@@ -444,7 +444,7 @@ if __name__ == "__main__":
             save_checkpoint(
                 credit_dataset=credit_train_dataset,
                 encoder = model.module.encoder, model=model.module.classifier, optimizer=optimizer, epoch=epoch, 
-                loss=ddp_loss[0], rocauc=rocauc, сheсkpoints_dir=сheсkpoints_dir)
+                loss=ddp_loss[0], rocauc=rocauc, checkpoints_dir=checkpoints_dir)
         if rank == 0:
             writer.close()
         torch.distributed.destroy_process_group()