@@ -150,7 +150,6 @@ def __init__(
150150 self .args = args
151151 # tensorboard writer
152152 self .summary_writer = SummaryWriter (log_dir = args .tb_dir )
153- self .default_writer = SummaryWriter (log_dir = "/home/admin/logs/tfevent" )
154153
155154 def print (self , msg : str ):
156155 """
@@ -280,7 +279,6 @@ def accelerate_monitor(
280279
281280 if self .accelerator .is_main_process :
282281 write_tensorboard (self .summary_writer , train_log_dict , completed_steps )
283- write_tensorboard (self .default_writer , train_log_dict , completed_steps )
284282
285283 if selfpaced_status is not None :
286284 selfpaced_status .log_per_task_weight = torch .zeros (len (ID2TASK ))
@@ -362,7 +360,6 @@ def accelerate_evaluate(
362360
363361 if self .accelerator .is_main_process :
364362 write_tensorboard (self .summary_writer , eval_log_dict , completed_steps )
365- write_tensorboard (self .default_writer , eval_log_dict , completed_steps )
366363
367364 return eval_loss , eval_task_loss , min_eval_loss , stall_num , best_step
368365
@@ -589,7 +586,6 @@ def accelerate_train(self):
589586 self .accelerate_saving_checkpoint (output_dir , completed_steps )
590587
591588 self .summary_writer .close ()
592- self .default_writer .close ()
593589
594590 # final save
595591 # output_dir = f"final_step_{completed_steps}"
0 commit comments