Runtime died and restarted sporadically?
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I am training a keras model for object detection, and I have a complicated metrics to evaluate. Ever since I added this metric, my runtime would sporadically died and restarted. I am wondering if this is a resource consumption issue and if it's GPU or CPU memory. I am not familiar with memory management aspect of Keras/Tensorflow and I may be writing something pretty bad from memory perspective. And since it ran many epochs, I tend to think it may be a leak...
Does colab automatically kill a session if its resource consumption goes out of bound? If I have more evidence this is the case, I will try to workaround this, or put more time in improving the metrics computation and its memory management aspect.
Thanks for your help.
google-colaboratory
asked Nov 12 at 4:30
kawingkelvin
409415
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I am training a keras model for object detection, and I have a complicated metrics to evaluate. Ever since I added this metric, my runtime would sporadically died and restarted. I am wondering if this is a resource consumption issue and if it's GPU or CPU memory. I am not familiar with memory management aspect of Keras/Tensorflow and I may be writing something pretty bad from memory perspective. And since it ran many epochs, I tend to think it may be a leak...
Does colab automatically kill a session if its resource consumption goes out of bound? If I have more evidence this is the case, I will try to workaround this, or put more time in improving the metrics computation and its memory management aspect.
Thanks for your help.
google-colaboratory
asked Nov 12 at 4:30
kawingkelvin
409415
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I am training a keras model for object detection, and I have a complicated metrics to evaluate. Ever since I added this metric, my runtime would sporadically died and restarted. I am wondering if this is a resource consumption issue and if it's GPU or CPU memory. I am not familiar with memory management aspect of Keras/Tensorflow and I may be writing something pretty bad from memory perspective. And since it ran many epochs, I tend to think it may be a leak...
Does colab automatically kill a session if its resource consumption goes out of bound? If I have more evidence this is the case, I will try to workaround this, or put more time in improving the metrics computation and its memory management aspect.
Thanks for your help.
google-colaboratory
asked Nov 12 at 4:30
kawingkelvin
409415
I am training a keras model for object detection, and I have a complicated metrics to evaluate. Ever since I added this metric, my runtime would sporadically died and restarted. I am wondering if this is a resource consumption issue and if it's GPU or CPU memory. I am not familiar with memory management aspect of Keras/Tensorflow and I may be writing something pretty bad from memory perspective. And since it ran many epochs, I tend to think it may be a leak...
Does colab automatically kill a session if its resource consumption goes out of bound? If I have more evidence this is the case, I will try to workaround this, or put more time in improving the metrics computation and its memory management aspect.
Thanks for your help.
google-colaboratory
google-colaboratory
asked Nov 12 at 4:30
kawingkelvin
409415
asked Nov 12 at 4:30
kawingkelvin
409415
asked Nov 12 at 4:30
kawingkelvin
409415
asked Nov 12 at 4:30
kawingkelvin
409415
asked Nov 12 at 4:30
kawingkelvin
409415
409415
add a comment |
add a comment |
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