Program Hang in training stage
See original GitHub issueHi, I wonder that did anyone get the same problem as I have right now. The training code works fine at the beginning, but it is stuck after saving the checkpoint. There is no error message appears. I have been waiting for hours, and it is still froze.
I0730 11:34:55.581835 18580 time_manager.py:50] 0023481> heatmaps_mse = 0.000482749, radius_mse = 2.46166e-08
I0730 11:34:57.720099 18580 time_manager.py:50] 0023497> heatmaps_mse = 0.000477729, radius_mse = 2.61259e-08
I0730 11:35:03.389537 18580 checkpoint_manager.py:86] CheckpointManager::save_all call done
It is just stuck on the last line above.
Also, situation2, it stuck at this point…“Exiting thread preprocess”
I0730 15:46:04.360245 10444 checkpoint_manager.py:86] CheckpointManager::save_all call done
I0730 15:46:04.368223 16840 data_source.py:253] Exiting thread preprocess_UnityEyes_5
I0730 15:46:04.370217 25984 data_source.py:253] Exiting thread preprocess_UnityEyes_4
I0730 15:46:04.371214 29716 data_source.py:253] Exiting thread preprocess_UnityEyes_3
I0730 15:46:04.371214 13788 data_source.py:253] Exiting thread preprocess_UnityEyes_7
I0730 15:46:04.372213 28312 data_source.py:253] Exiting thread preprocess_UnityEyes_0
I0730 15:46:04.372213 28344 data_source.py:253] Exiting thread preprocess_UnityEyes_6
I0730 15:46:04.372213 28700 data_source.py:253] Exiting thread preprocess_UnityEyes_2
I0730 15:46:04.372213 6704 data_source.py:253] Exiting thread preprocess_UnityEyes_1
I was trying to train from scratch with UnityEyes dataset, and my environment settings are as follow:
Windows10 CUDA 10.0 cuDNN 7.6 Tensorflow-gpu 1.14.0 opencv-python 4.1.0.25 python 3.6
Or do I need something dependency to run this repo? because I have problems to make elg_demo.py run, too.
Issue Analytics
- State:
- Created 4 years ago
- Comments:5
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@keishatsai I did encounter before. But at most time, I can stop the process normally.
@WuZhuoran So did you encounter this also? Did you kill the process normally? Actually, I am not quite sure that I have finished training or not. If I kill it, and it means that I have to restart training over and over again.