libtensorflow_framework.so: undefined symbol: cuDevicePrimaryCtxGetState
I have installed tensorflow-gpu with conda successfully. When I test doing import tensorflow I have the issue mentioned above. Any idea? I have checked my drivers, the nvidia toolkit and cudnn are intalled correctly and set the values of PATH, LD_LIBRARY_PATH and CUDA_HOME respectively.
...Fri Nov 23 12:00:18 2018
+------------------------------------------------------+
| NVIDIA-SMI 340.107 Driver Version: 340.107 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Quadro FX 5600 Off | 0000:02:00.0 N/A | N/A |
| 61% 77C P0 N/A / N/A | 2MiB / 1535MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Compute processes: GPU Memory |
| GPU PID Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
tensorflow
asked Nov 22 at 17:43
Cla
62
add a comment |
I have installed tensorflow-gpu with conda successfully. When I test doing import tensorflow I have the issue mentioned above. Any idea? I have checked my drivers, the nvidia toolkit and cudnn are intalled correctly and set the values of PATH, LD_LIBRARY_PATH and CUDA_HOME respectively.
...Fri Nov 23 12:00:18 2018
+------------------------------------------------------+
| NVIDIA-SMI 340.107 Driver Version: 340.107 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Quadro FX 5600 Off | 0000:02:00.0 N/A | N/A |
| 61% 77C P0 N/A / N/A | 2MiB / 1535MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Compute processes: GPU Memory |
| GPU PID Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
tensorflow
asked Nov 22 at 17:43
Cla
62
add a comment |
I have installed tensorflow-gpu with conda successfully. When I test doing import tensorflow I have the issue mentioned above. Any idea? I have checked my drivers, the nvidia toolkit and cudnn are intalled correctly and set the values of PATH, LD_LIBRARY_PATH and CUDA_HOME respectively.
...Fri Nov 23 12:00:18 2018
+------------------------------------------------------+
| NVIDIA-SMI 340.107 Driver Version: 340.107 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Quadro FX 5600 Off | 0000:02:00.0 N/A | N/A |
| 61% 77C P0 N/A / N/A | 2MiB / 1535MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Compute processes: GPU Memory |
| GPU PID Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
tensorflow
asked Nov 22 at 17:43
Cla
62
I have installed tensorflow-gpu with conda successfully. When I test doing import tensorflow I have the issue mentioned above. Any idea? I have checked my drivers, the nvidia toolkit and cudnn are intalled correctly and set the values of PATH, LD_LIBRARY_PATH and CUDA_HOME respectively.
...Fri Nov 23 12:00:18 2018
+------------------------------------------------------+
| NVIDIA-SMI 340.107 Driver Version: 340.107 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Quadro FX 5600 Off | 0000:02:00.0 N/A | N/A |
| 61% 77C P0 N/A / N/A | 2MiB / 1535MiB | N/A Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Compute processes: GPU Memory |
| GPU PID Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+
tensorflow
tensorflow
asked Nov 22 at 17:43
Cla
62
asked Nov 22 at 17:43
Cla
62
edited Nov 23 at 11:02
asked Nov 22 at 17:43
Cla
62
asked Nov 22 at 17:43
Cla
62
asked Nov 22 at 17:43
Cla
62
62
add a comment |
add a comment |
1 Answer
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You need to have the proper minimum CUDA support (seems like it's 7 https://askubuntu.com/questions/988787/nvidia-cuda-theano-could-not-find-symbol-cudeviceprimaryctxgetstate) with cuDNN 3.
Upgrade your drivers if possible to get this version.
Otherwise, use either tensorflow-mkl or for older CPU models tensorflow-eigen.
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
thanks! but are tensorflow-mkl or tensorflow-eigen GPU ? I do really need to try with GPU. I am using cuDNN 7, CUDA 9.2 and my card is Quadro FX 5600 with driver updated to Driver Version: 340.107. CPU Intel(R) Xeon(R) CPU E5420 @ 2.50GHz
– Cla
Nov 23 at 9:30
No, they are not. But what the error message means is that it cannot find the latest install of the Cuda libraries.
– Matthieu Brucher
Nov 23 at 9:39
Check the LD_LIBRARY_PATH variable and make sure the path to Cuda libraries is there.
– Matthieu Brucher
Nov 23 at 9:41
Thanks! checked that, don't know what I am missing export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:usr/local/cuda-9.0/bin export CUDA_HOME=/usr/local/cuda export PATH=/usr/local/cuda-9.0/bin:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$PATH
– Cla
Nov 23 at 9:53
Do you mean cuda toolkit? or cudnn or cupti?? Thanks!
– Cla
Nov 23 at 9:55
|
show 4 more comments
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You need to have the proper minimum CUDA support (seems like it's 7 https://askubuntu.com/questions/988787/nvidia-cuda-theano-could-not-find-symbol-cudeviceprimaryctxgetstate) with cuDNN 3.
Upgrade your drivers if possible to get this version.
Otherwise, use either tensorflow-mkl or for older CPU models tensorflow-eigen.
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
thanks! but are tensorflow-mkl or tensorflow-eigen GPU ? I do really need to try with GPU. I am using cuDNN 7, CUDA 9.2 and my card is Quadro FX 5600 with driver updated to Driver Version: 340.107. CPU Intel(R) Xeon(R) CPU E5420 @ 2.50GHz
– Cla
Nov 23 at 9:30
No, they are not. But what the error message means is that it cannot find the latest install of the Cuda libraries.
– Matthieu Brucher
Nov 23 at 9:39
Check the LD_LIBRARY_PATH variable and make sure the path to Cuda libraries is there.
– Matthieu Brucher
Nov 23 at 9:41
Thanks! checked that, don't know what I am missing export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:usr/local/cuda-9.0/bin export CUDA_HOME=/usr/local/cuda export PATH=/usr/local/cuda-9.0/bin:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$PATH
– Cla
Nov 23 at 9:53
Do you mean cuda toolkit? or cudnn or cupti?? Thanks!
– Cla
Nov 23 at 9:55
|
show 4 more comments
You need to have the proper minimum CUDA support (seems like it's 7 https://askubuntu.com/questions/988787/nvidia-cuda-theano-could-not-find-symbol-cudeviceprimaryctxgetstate) with cuDNN 3.
Upgrade your drivers if possible to get this version.
Otherwise, use either tensorflow-mkl or for older CPU models tensorflow-eigen.
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
thanks! but are tensorflow-mkl or tensorflow-eigen GPU ? I do really need to try with GPU. I am using cuDNN 7, CUDA 9.2 and my card is Quadro FX 5600 with driver updated to Driver Version: 340.107. CPU Intel(R) Xeon(R) CPU E5420 @ 2.50GHz
– Cla
Nov 23 at 9:30
No, they are not. But what the error message means is that it cannot find the latest install of the Cuda libraries.
– Matthieu Brucher
Nov 23 at 9:39
Check the LD_LIBRARY_PATH variable and make sure the path to Cuda libraries is there.
– Matthieu Brucher
Nov 23 at 9:41
Thanks! checked that, don't know what I am missing export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:usr/local/cuda-9.0/bin export CUDA_HOME=/usr/local/cuda export PATH=/usr/local/cuda-9.0/bin:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$PATH
– Cla
Nov 23 at 9:53
Do you mean cuda toolkit? or cudnn or cupti?? Thanks!
– Cla
Nov 23 at 9:55
|
show 4 more comments
You need to have the proper minimum CUDA support (seems like it's 7 https://askubuntu.com/questions/988787/nvidia-cuda-theano-could-not-find-symbol-cudeviceprimaryctxgetstate) with cuDNN 3.
Upgrade your drivers if possible to get this version.
Otherwise, use either tensorflow-mkl or for older CPU models tensorflow-eigen.
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
You need to have the proper minimum CUDA support (seems like it's 7 https://askubuntu.com/questions/988787/nvidia-cuda-theano-could-not-find-symbol-cudeviceprimaryctxgetstate) with cuDNN 3.
Upgrade your drivers if possible to get this version.
Otherwise, use either tensorflow-mkl or for older CPU models tensorflow-eigen.
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
answered Nov 22 at 17:58
Matthieu Brucher
11.8k22137
11.8k22137
thanks! but are tensorflow-mkl or tensorflow-eigen GPU ? I do really need to try with GPU. I am using cuDNN 7, CUDA 9.2 and my card is Quadro FX 5600 with driver updated to Driver Version: 340.107. CPU Intel(R) Xeon(R) CPU E5420 @ 2.50GHz
– Cla
Nov 23 at 9:30
No, they are not. But what the error message means is that it cannot find the latest install of the Cuda libraries.
– Matthieu Brucher
Nov 23 at 9:39
Check the LD_LIBRARY_PATH variable and make sure the path to Cuda libraries is there.
– Matthieu Brucher
Nov 23 at 9:41
Thanks! checked that, don't know what I am missing export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:usr/local/cuda-9.0/bin export CUDA_HOME=/usr/local/cuda export PATH=/usr/local/cuda-9.0/bin:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$PATH
– Cla
Nov 23 at 9:53
Do you mean cuda toolkit? or cudnn or cupti?? Thanks!
– Cla
Nov 23 at 9:55
|
show 4 more comments
thanks! but are tensorflow-mkl or tensorflow-eigen GPU ? I do really need to try with GPU. I am using cuDNN 7, CUDA 9.2 and my card is Quadro FX 5600 with driver updated to Driver Version: 340.107. CPU Intel(R) Xeon(R) CPU E5420 @ 2.50GHz
– Cla
Nov 23 at 9:30
No, they are not. But what the error message means is that it cannot find the latest install of the Cuda libraries.
– Matthieu Brucher
Nov 23 at 9:39
Check the LD_LIBRARY_PATH variable and make sure the path to Cuda libraries is there.
– Matthieu Brucher
Nov 23 at 9:41
Thanks! checked that, don't know what I am missing export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:usr/local/cuda-9.0/bin export CUDA_HOME=/usr/local/cuda export PATH=/usr/local/cuda-9.0/bin:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$PATH
– Cla
Nov 23 at 9:53
Do you mean cuda toolkit? or cudnn or cupti?? Thanks!
– Cla
Nov 23 at 9:55
thanks! but are tensorflow-mkl or tensorflow-eigen GPU ? I do really need to try with GPU. I am using cuDNN 7, CUDA 9.2 and my card is Quadro FX 5600 with driver updated to Driver Version: 340.107. CPU Intel(R) Xeon(R) CPU E5420 @ 2.50GHz
– Cla
Nov 23 at 9:30
thanks! but are tensorflow-mkl or tensorflow-eigen GPU ? I do really need to try with GPU. I am using cuDNN 7, CUDA 9.2 and my card is Quadro FX 5600 with driver updated to Driver Version: 340.107. CPU Intel(R) Xeon(R) CPU E5420 @ 2.50GHz
– Cla
Nov 23 at 9:30
No, they are not. But what the error message means is that it cannot find the latest install of the Cuda libraries.
– Matthieu Brucher
Nov 23 at 9:39
No, they are not. But what the error message means is that it cannot find the latest install of the Cuda libraries.
– Matthieu Brucher
Nov 23 at 9:39
Check the LD_LIBRARY_PATH variable and make sure the path to Cuda libraries is there.
– Matthieu Brucher
Nov 23 at 9:41
Check the LD_LIBRARY_PATH variable and make sure the path to Cuda libraries is there.
– Matthieu Brucher
Nov 23 at 9:41
Thanks! checked that, don't know what I am missing export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:usr/local/cuda-9.0/bin export CUDA_HOME=/usr/local/cuda export PATH=/usr/local/cuda-9.0/bin:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$PATH
– Cla
Nov 23 at 9:53
Thanks! checked that, don't know what I am missing export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:usr/local/cuda-9.0/bin export CUDA_HOME=/usr/local/cuda export PATH=/usr/local/cuda-9.0/bin:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:$PATH
– Cla
Nov 23 at 9:53
Do you mean cuda toolkit? or cudnn or cupti?? Thanks!
– Cla
Nov 23 at 9:55
Do you mean cuda toolkit? or cudnn or cupti?? Thanks!
– Cla
Nov 23 at 9:55
|
show 4 more comments
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