在linux桌面系统上Trainer中使用Tester的tqdm存在bug; 增加一个可选项使得用户可以关闭Tester的tqdm

fastNLP/core/callback.py

@@ -569,7 +569,7 @@ class FitlogCallback(Callback):
                                 batch_size=self.trainer.kwargs.get('dev_batch_size', self.batch_size),
                                 metrics=self.trainer.metrics,
                                 verbose=0,
-                                use_tqdm=self.trainer.use_tqdm)
+                                use_tqdm=self.trainer.test_use_tqdm)
                 self.testers[key] = tester
         fitlog.add_progress(total_steps=self.n_steps)
     
@@ -654,7 +654,7 @@ class EvaluateCallback(Callback):
                 tester = Tester(data=data, model=self.model,
                                 batch_size=self.trainer.kwargs.get('dev_batch_size', self.batch_size),
                                 metrics=self.trainer.metrics, verbose=0,
-                                use_tqdm=self.trainer.use_tqdm)
+                                use_tqdm=self.trainer.test_use_tqdm)
                 self.testers[key] = tester
 
     def on_valid_end(self, eval_result, metric_key, optimizer, better_result):

fastNLP/core/trainer.py

@@ -545,6 +545,10 @@ class Trainer(object):
         self.logger = logger
 
         self.use_tqdm = use_tqdm
+        if 'test_use_tqdm' in kwargs:
+            self.test_use_tqdm = kwargs.get('test_use_tqdm')
+        else:
+            self.test_use_tqdm = self.use_tqdm
         self.pbar = None
         self.print_every = abs(self.print_every)
         self.kwargs = kwargs
@@ -555,7 +559,7 @@ class Trainer(object):
                                  batch_size=kwargs.get("dev_batch_size", self.batch_size),
                                  device=None,  # 由上面的部分处理device
                                  verbose=0,
-                                 use_tqdm=self.use_tqdm)
+                                 use_tqdm=self.test_use_tqdm)
 
         self.step = 0
         self.start_time = None  # start timestamp