using random seed.

datasets/gtsrb.py

@@ -3,7 +3,7 @@
 
 import os
 import torch
-from torchvision import datasets, transforms
+from torchvision import transforms
 import torch.utils.data as data
 from torch.utils.data.sampler import SubsetRandomSampler
 import numpy as np
@@ -31,7 +31,6 @@ class GTSRB(data.Dataset):
     def __len__(self):
         return self.n_data
 
-
 def get_gtsrb(dataset_root, batch_size, train):
     """Get GTSRB datasets loader."""
     shuffle_dataset = True
@@ -51,7 +50,8 @@ def get_gtsrb(dataset_root, batch_size, train):
     dataset_size = len(gtsrb_dataset)
     indices = list(range(dataset_size))
     if shuffle_dataset:
-        np.random.seed(random_seed)
+        #np.random.seed(random_seed)
+        np.random.seed()
         np.random.shuffle(indices)
     train_indices, val_indices = indices[:train_size], indices[train_size:]