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jmt330 opened this issue Oct 13, 2018 · 5 comments
Closed

CUDA out of memory with batchsize = 1 in one 1080Ti #34

jmt330 opened this issue Oct 13, 2018 · 5 comments

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@jmt330
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jmt330 commented Oct 13, 2018

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@jmt330 jmt330 changed the title CUDA out of memory with batchsize = 1 in one Titan X CUDA out of memory with batchsize = 1 in one 1080Ti Oct 13, 2018
@jmt330
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jmt330 commented Oct 14, 2018

@heilaw

@heilaw
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heilaw commented Oct 14, 2018

I also tried running CornerNet on a 1080 Ti. I was able to train the network with a batch size of 3. Can you give more details about your settings?

@jmt330
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jmt330 commented Oct 16, 2018

I also tried running CornerNet on a 1080 Ti. I was able to train the network with a batch size of 3. Can you give more details about your settings?

I also tried running CornerNet on a 1080 Ti. I was able to train the network with a batch size of 3. Can you give more details about your settings?

Thank you for your reply, and we finally find it's due to our Arch system made some compile errors to pyTorch(didn't open the cudnn). After we recompile the pytorch, it works!

@AlphaGoMK
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I also tried running CornerNet on a 1080 Ti. I was able to train the network with a batch size of 3. Can you give more details about your settings?

I also tried running CornerNet on a 1080 Ti. I was able to train the network with a batch size of 3. Can you give more details about your settings?

Thank you for your reply, and we finally find it's due to our Arch system made some compile errors to pyTorch(didn't open the cudnn). After we recompile the pytorch, it works!

I got the same question with you, but I correctly installed cudnn and it works fine in other code.
Would you like to offer more details about you solution? Did you just reinstall cudnn?
Thanks in advance :)

@ltwwwww
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ltwwwww commented Jan 10, 2021

I also tried running CornerNet on a 1080 Ti. I was able to train the network with a batch size of 3. Can you give more details about your settings?

I also tried running CornerNet on a 1080 Ti. I was able to train the network with a batch size of 3. Can you give more details about your settings?

Thank you for your reply, and we finally find it's due to our Arch system made some compile errors to pyTorch(didn't open the cudnn). After we recompile the pytorch, it works!

I got the same question with you, but I correctly installed cudnn and it works fine in other code.
Would you like to offer more details about you solution? Did you just reinstall cudnn?
Thanks in advance :)

Have you solve the problem? I also installed cudnn correctly but it doesn't work and still out of memory with the batchsize = 1. Why??? Thank you!

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