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Comments (19)

RainBoltz avatar RainBoltz commented on May 2, 2024

since this error message often appears in other works(experienced):
1. if gpu compute capability is under 3.0, maybe try not to compile with cudnn (comment USE_CUDNN in Makefile.config, both openpose and caffe) (updated)
2. maybe the GPU is out of use, just close the processes that are using GPU

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gineshidalgo99 avatar gineshidalgo99 commented on May 2, 2024

For @RainBoltz comment, thank you for point 2! About point 1, OpenPose must be compiled with cuDNN support (by default it is enabled in both OpenPose and the Caffe we provide in 3rdparty/caffe). If you disable it, Caffe would ask for more than 12 GB of GPU memory for our model.

@felipheggaliza Which Ubuntu, CUDA and cuDNN versions are you using? The script only works for CUDA 8, otherwise you must use the manual steps to install it: doc/installation.md. Thanks!

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vermicelli avatar vermicelli commented on May 2, 2024

I got this error too. I'm using cuda8.0 and cudnn5.1.10.

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vermicelli avatar vermicelli commented on May 2, 2024

Problem solved by using the BVLC version of caffe library.

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gineshidalgo99 avatar gineshidalgo99 commented on May 2, 2024

@vermicelli Thank you for your feed-back. But we are basically using almost the same version, just with cuDNN and c++11 flags enabled (otherwise your computer will run out of memory). Did you disable cuDNN or how did you do it? Thanks!

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felipheggaliza avatar felipheggaliza commented on May 2, 2024

Hi @gineshidalgo99! I am also using cuda 8.0 and cudnn 5.1.10.

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malchun avatar malchun commented on May 2, 2024

Got same trouble. Had to reinstall manually cudnn6 (not from deb this time) and remake project. Worked for me.
Cuda 8.0, cuDNN 6.0.21, Ubuntu 16.04

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gineshidalgo99 avatar gineshidalgo99 commented on May 2, 2024

Thank you @malchun !

@felipheggaliza , does malchun solution works for you? Remember you need to perform a clean install after recompiling cuDNN (steps in doc/installation.md).

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vermicelli avatar vermicelli commented on May 2, 2024

@gineshidalgo99 I built the BLVC caffe with cuDNN enabled but without c++11 flag, using the source code I cloned 2 weeks ago.

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gineshidalgo99 avatar gineshidalgo99 commented on May 2, 2024

@vermicelli Thank you for your feed-back!

I will close this thread then.

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hossam-96 avatar hossam-96 commented on May 2, 2024

I have the same error.
so what should I do? remove cudnn 5.1 and install cudnn 6? or build it with the BLVC caffe ?

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hossam-96 avatar hossam-96 commented on May 2, 2024

I have the same error.
so what should I do? remove cudnn 5.1 and install cudnn 6? or build it with the BLVC caffe ?

I solved it by installing cudnn v6 and remake from begining

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hscspring avatar hscspring commented on May 2, 2024

i got the same issue,
i think the ./ubuntu/*.sh in the github might not work now.

for example:
openpose/installation.md at master ยท CMU-Perceptual-Computing-Lab/openpose, sudo ubuntu/install_cuda.sh this command will install cuda9 instead of cuda8.
i don't sure what exactly version i should install, maybe docker is good enough...

the same issues are:
#62
#153 .

the problems they have faced were almost the same, but their solutions seemed different from each other....

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gineshidalgo99 avatar gineshidalgo99 commented on May 2, 2024

@hscspring The command do install cuda8 (unless you are using some old version of OpenPose?). We recommend CUDA 8 (for Caffe compatibility). Cuda 9 is also possible, but might require you some extra step with Caffe

EDITED: And after re-installing CUDA/CUDNN, then re-install OpenPose

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bragilee avatar bragilee commented on May 2, 2024

@gineshidalgo99 Hi, I am facing the same problem with cud 8.0+cudnn 7. Is the problem caused by cudnn version? Thank you. :)

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gineshidalgo99 avatar gineshidalgo99 commented on May 2, 2024

Unfortunately, the problem is coming from CUDA/cuDNN, so I can't not help much debugging it. But no, it should not be because of the version, rather a cuda/cudnn installation issue.

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bragilee avatar bragilee commented on May 2, 2024

@gineshidalgo99 Thank you for your clarification. I will find out possible ways to solve it. Thanks. :)

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kccheung avatar kccheung commented on May 2, 2024

I also encounter similar problem (with CUDA 9.0 and cuDNN 5.1.0), but the problem is gone after I installed the latest version of cuDNN 7.2.1.38. You could check the cuDNN version you installed by reading the log message during make or using cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2.

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Harsharma2308 avatar Harsharma2308 commented on May 2, 2024

Installing cudnn v6 instead of v5 didn't work for me. I get similar error on running from both of them.

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