question-mark
Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Program Hang in training stage

See original GitHub issue

Hi, 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:open
  • Created 4 years ago
  • Comments:5

github_iconTop GitHub Comments

1reaction
WuZhuorancommented, Aug 2, 2019

@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.

@keishatsai I did encounter before. But at most time, I can stop the process normally.

0reactions
keishatsaicommented, Aug 2, 2019

@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.

Read more comments on GitHub >

github_iconTop Results From Across the Web

Hangboard Training for Beginners: A Simple 8-Week Workout
A climbing coach shares a beginner-friendly 8-week hangboard training plan along with some crucial tips for how to avoid injury.
Read more >
How and Why You Should Be Doing the Dead Hang
HOW TO PROGRAM DEAD HANGS. Beginners incorporating the passive hang into their routine should aim for two sets of 20 to 30 seconds...
Read more >
A Staggeringly Successful New Hangboard Routine
The Training Program: · Half Crimp on 14-millimetre edge: · Three-finger drag on large edge: · Middle-and-ring finger open-pocket position:.
Read more >
Density Hang (Tendon Training Phase 1) - YouTube
This prolonged, isometric movement is a great way for climbers to build tissue capacity, which can be helpful when you're trying to recover ......
Read more >
Dead Hang Exercise Guide: How to Master Dead Hangs - 2022
Practice dead hangs by gripping an overhead bar, monkey bars, or gymnastic rings. Lift your feet and hold yourself in a hanging position....
Read more >

github_iconTop Related Medium Post

No results found

github_iconTop Related StackOverflow Question

No results found

github_iconTroubleshoot Live Code

Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free

github_iconTop Related Reddit Thread

No results found

github_iconTop Related Hackernoon Post

No results found

github_iconTop Related Tweet

No results found

github_iconTop Related Dev.to Post

No results found

github_iconTop Related Hashnode Post

No results found