修改得到数据list的方式

data_module.py

@@ -34,10 +34,11 @@ class DataModule(pl.LightningDataModule):
             dataset[:, self.config['dim_in']] = torch.cos(1.5 * dataset[:, 0]) * (dataset[:, 1] ** 2.0) + torch.cos(
                 torch.sin(dataset[:, 2] ** 3)) + torch.arctan(dataset[:, 4]) + noise
             assert (dataset[torch.isnan(dataset)].shape[0] == 0)
+            written = [' '.join([str(temp) for temp in dataset[cou, :].tolist()]) for cou in range(dataset.shape[0])]
 
             with open(self.dataset_path + '/dataset_list.txt', 'w', encoding='utf-8') as f:
-                for line in range(self.config['dataset_len']):
-                    f.write(' '.join([str(temp) for temp in dataset[line].tolist()]) + '\n')
+                for line in written:
+                    f.write(line + '\n')
             print('已生成新的数据list')
         else:
             dataset_list = open(self.dataset_path + '/dataset_list.txt').readlines()

utils.py

@@ -11,9 +11,12 @@ def get_dataset_list(dataset_path):
     if not os.path.exists(dataset_path + '/dataset_list.txt'):
         all_list = glob.glob(dataset_path + '/labels' + '/*.png')
         random.shuffle(all_list)
+        all_list = [os.path.basename(item.replace('\\', '/')) for item in all_list]
+        written = all_list
+
         with open(dataset_path + '/dataset_list.txt', 'w', encoding='utf-8') as f:
-            for line in all_list:
-                f.write(os.path.basename(line.replace('\\', '/')) + '\n')
+            for line in written:
+                f.write(line + '\n')
             print('已生成新的数据list')
         return all_list
     else: