Type hint for python version lower than 3.9

1 files changed, 7 insertions, 7 deletions

diff --git a/models/model.py b/models/model.py
index 4deced0..725988a 100644
--- a/models/model.py
+++ b/models/model.py
@@ -1,5 +1,5 @@
 import os
-from typing import Union, Optional, Tuple, List
+from typing import Union, Optional, Tuple, List, Dict
 
 import numpy as np
 import torch
@@ -166,7 +166,7 @@ class Model:
             popped_keys=['root_dir', 'cache_on']
         )
         self.log_name = '_'.join((self.log_name, self._dataset_sig))
-        config: dict = dataset_config.copy()
+        config: Dict = dataset_config.copy()
         name = config.pop('name')
         if name == 'CASIA-B':
             return CASIAB(**config, is_train=self.is_train)
@@ -180,7 +180,7 @@ class Model:
             dataset: Union[CASIAB],
             dataloader_config: DataloaderConfiguration
     ) -> DataLoader:
-        config: dict = dataloader_config.copy()
+        config: Dict = dataloader_config.copy()
         if self.is_train:
             (self.pr, self.k) = config.pop('batch_size')
             self.log_name = '_'.join((self.log_name, str(self.pr), str(self.k)))
@@ -195,9 +195,9 @@ class Model:
 
     def _batch_splitter(
             self,
-            batch: List[dict[str, Union[np.int64, str, torch.Tensor]]]
-    ) -> Tuple[dict[str, Union[List[str], torch.Tensor]],
-               dict[str, Union[List[str], torch.Tensor]]]:
+            batch: List[Dict[str, Union[np.int64, str, torch.Tensor]]]
+    ) -> Tuple[Dict[str, Union[List[str], torch.Tensor]],
+               Dict[str, Union[List[str], torch.Tensor]]]:
         """
         Disentanglement need two random conditions, this function will
         split pr * k * 2 samples to 2 dicts each containing pr * k
@@ -211,7 +211,7 @@ class Model:
         return default_collate(_batch[0]), default_collate(_batch[1])
 
     def _make_signature(self,
-                        config: dict,
+                        config: Dict,
                         popped_keys: Optional[List] = None) -> str:
         _config = config.copy()
         if popped_keys: