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fix sink_mode

This commit is contained in:
wukesong 2021-09-01 16:33:26 +08:00
parent 45c7bb382b
commit 95e80f013a
1 changed files with 2 additions and 2 deletions
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4
model_zoo/research/cv/dem/train.py
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@ -131,7 +131,7 @@ if __name__ == "__main__":
ckpt_config = CheckpointConfig(save_checkpoint_steps=interval_step)
ckpt_callback = ModelCheckpoint(prefix='auto_parallel', config=ckpt_config)
t1 = time.time()
model.train(epoch_size, train_dataset=custom_data, callbacks=[loss_cb, ckpt_callback], dataset_sink_mode=False)
model.train(epoch_size, train_dataset=custom_data, callbacks=[loss_cb, ckpt_callback], dataset_sink_mode=True)
end = time.time()
t3 = 1000 * (end - t1) / (88 * epoch_size)
print('total time:', end - start)
@ -142,7 +142,7 @@ if __name__ == "__main__":
else:
for i in range(epoch_size):
t1 = time.time()
model.train(1, train_dataset=custom_data, callbacks=LossMonitor(interval_step), dataset_sink_mode=False)
model.train(1, train_dataset=custom_data, callbacks=LossMonitor(interval_step), dataset_sink_mode=True)
t2 = time.time()
t3 = 1000 * (t2 - t1) / 88
if args.train_mode == 'att':