fix data replication for multi-cards sampling

ppocr/data/__init__.py

@@ -51,7 +51,7 @@ signal.signal(signal.SIGINT, term_mp)
 signal.signal(signal.SIGTERM, term_mp)
 
 
-def build_dataloader(config, mode, device, logger):
+def build_dataloader(config, mode, device, logger, seed=None):
     config = copy.deepcopy(config)
 
     support_dict = ['SimpleDataSet', 'LMDBDateSet']
@@ -61,7 +61,7 @@ def build_dataloader(config, mode, device, logger):
     assert mode in ['Train', 'Eval', 'Test'
                     ], "Mode should be Train, Eval or Test."
 
-    dataset = eval(module_name)(config, mode, logger)
+    dataset = eval(module_name)(config, mode, logger, seed)
     loader_config = config[mode]['loader']
     batch_size = loader_config['batch_size_per_card']
     drop_last = loader_config['drop_last']

ppocr/data/lmdb_dataset.py

@@ -21,7 +21,7 @@ from .imaug import transform, create_operators
 
 
 class LMDBDateSet(Dataset):
-    def __init__(self, config, mode, logger):
+    def __init__(self, config, mode, logger, seed=None):
         super(LMDBDateSet, self).__init__()
 
         global_config = config['Global']

ppocr/data/simple_dataset.py

@@ -20,7 +20,7 @@ from .imaug import transform, create_operators
 
 
 class SimpleDataSet(Dataset):
-    def __init__(self, config, mode, logger):
+    def __init__(self, config, mode, logger, seed=None):
         super(SimpleDataSet, self).__init__()
         self.logger = logger
 
@@ -41,6 +41,7 @@ class SimpleDataSet(Dataset):
         self.data_dir = dataset_config['data_dir']
         self.do_shuffle = loader_config['shuffle']
 
+        self.seed = seed
         logger.info("Initialize indexs of datasets:%s" % label_file_list)
         self.data_lines = self.get_image_info_list(label_file_list, ratio_list)
         self.data_idx_order_list = list(range(len(self.data_lines)))
@@ -55,6 +56,7 @@ class SimpleDataSet(Dataset):
         for idx, file in enumerate(file_list):
             with open(file, "rb") as f:
                 lines = f.readlines()
+                random.seed(self.seed)
                 lines = random.sample(lines,
                                       round(len(lines) * ratio_list[idx]))
                 data_lines.extend(lines)
@@ -62,6 +64,7 @@ class SimpleDataSet(Dataset):
 
     def shuffle_data_random(self):
         if self.do_shuffle:
+            random.seed(self.seed)
             random.shuffle(self.data_lines)
         return
 

tools/program.py

@@ -182,8 +182,8 @@ def train(config,
         start_epoch = 1
 
     for epoch in range(start_epoch, epoch_num + 1):
-        if epoch > 0:
+        train_dataloader = build_dataloader(
-            train_dataloader = build_dataloader(config, 'Train', device, logger)
+            config, 'Train', device, logger, seed=epoch)
         train_batch_cost = 0.0
         train_reader_cost = 0.0
         batch_sum = 0