@@ -150,7 +150,6 @@ def __init__(
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self .args = args
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# tensorboard writer
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self .summary_writer = SummaryWriter (log_dir = args .tb_dir )
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- self .default_writer = SummaryWriter (log_dir = "/home/admin/logs/tfevent" )
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def print (self ,msg :str ):
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"""
@@ -280,7 +279,6 @@ def accelerate_monitor(
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if self .accelerator .is_main_process :
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write_tensorboard (self .summary_writer ,train_log_dict ,completed_steps )
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- write_tensorboard (self .default_writer ,train_log_dict ,completed_steps )
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if selfpaced_status is not None :
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selfpaced_status .log_per_task_weight = torch .zeros (len (ID2TASK ))
@@ -362,7 +360,6 @@ def accelerate_evaluate(
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if self .accelerator .is_main_process :
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write_tensorboard (self .summary_writer ,eval_log_dict ,completed_steps )
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- write_tensorboard (self .default_writer ,eval_log_dict ,completed_steps )
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return eval_loss ,eval_task_loss ,min_eval_loss ,stall_num ,best_step
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@@ -589,7 +586,6 @@ def accelerate_train(self):
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self .accelerate_saving_checkpoint (output_dir ,completed_steps )
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self .summary_writer .close ()
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- self .default_writer .close ()
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# final save
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# output_dir = f"final_step_{completed_steps}"