[theano-users] Failed to compile cuda

Discussion:

[theano-users] Failed to compile cuda_ndarray.cu

Adam Jones

2017-10-30 19:37:38 UTC

*My system info:*
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu
16.04.2
- Theano installed: via conda
- Theano version:'0.9.0.dev-c697eeab84e5b8a74908da654b66ec9eca4f1291'
- Python version: 2.7
- cuDNN version: 6.0.21
- CUDA compilation tools, release: 8.0, V8.0.61
- GPU model and memory: GeForce GTX Titan X
- Compiler: gcc version 5.4.0

*Problem:*
Fresh install of cuda, cudnn, and theano as per docs
<http://deeplearning.net/software/theano/updating.html#updating>. I get the
following error message when I try importing theano. I know there are a
multitude of posts for this error message, but none have been of any help.
Any guidance would be *greatly* appreciated!

*Error produced:*
ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu:
libcublas.so.8.0: cannot open shared object file: No such file or directory
/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py:135:
UserWarning: Your cuDNN version is more recent than Theano. If you
encounter problems, try updating Theano or downgrading cuDNN to version 5.1.
warnings.warn("Your cuDNN version is more recent than "
ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
Traceback (most recent call last):
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 164, in <module>
use(config.device)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 151, in use
init_dev(device)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 68, in init_dev
context.cudnn_handle = dnn._make_handle(context)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py",
line 85, in _make_handle
raise RuntimeError("error creating cudnn handle")
RuntimeError: error creating cudnn handle

*Output of 'nvidia-smi':*
'+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.90 Driver Version: 384.90
|
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr.
ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute
M. |
|===============================+======================+======================|
| 0 GeForce GTX TIT... Off | 00000000:01:00.0 Off |
N/A |
| 22% 40C P8 14W / 250W | 2MiB / 12207MiB | 0%
Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GT 610 Off | 00000000:07:00.0 N/A |
N/A |
| 40% 35C P8 N/A / N/A | 48MiB / 963MiB | N/A
Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU
Memory |
| GPU PID Type Process name Usage
|
|=============================================================================|
| 1 Not Supported
|
+-----------------------------------------------------------------------------+'

*Relevant portion of .bashrc file:*
export CUDA_ROOT=/usr/local/cuda

export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"
# export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-8.0/lib64"

export PATH="/usr/local/cuda/bin:$PATH"
export PATH="/usr/local/cuda-8.0/bin:$PATH"

export CUDA_VISIBLE_DEVICES=0

export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda/lib64

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Frédéric Bastien

2017-11-03 17:09:58 UTC

Permalink

We do not support anymore that version of Theano. Try Theano 1.0rc1:
c697eeab

Post by Adam Jones
*My system info:*
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu
16.04.2
- Theano installed: via conda
- Theano version:'0.9.0.dev-c697eeab84e5b8a74908da654b66ec9eca4f1291'
- Python version: 2.7
- cuDNN version: 6.0.21
- CUDA compilation tools, release: 8.0, V8.0.61
- GPU model and memory: GeForce GTX Titan X
- Compiler: gcc version 5.4.0
*Problem:*
Fresh install of cuda, cudnn, and theano as per docs
<http://deeplearning.net/software/theano/updating.html#updating>. I get
the following error message when I try importing theano. I know there are a
multitude of posts for this error message, but none have been of any help.
Any guidance would be *greatly* appreciated!
*Error produced:*
libcublas.so.8.0: cannot open shared object file: No such file or directory
UserWarning: Your cuDNN version is more recent than Theano. If you
encounter problems, try updating Theano or downgrading cuDNN to version 5.1.
warnings.warn("Your cuDNN version is more recent than "
ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 164, in <module>
use(config.device)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 151, in use
init_dev(device)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 68, in init_dev
context.cudnn_handle = dnn._make_handle(context)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py",
line 85, in _make_handle
raise RuntimeError("error creating cudnn handle")
RuntimeError: error creating cudnn handle
*Output of 'nvidia-smi':*
'+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.90 Driver Version: 384.90
|
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr.
ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute
M. |
|===============================+======================+======================|
| 0 GeForce GTX TIT... Off | 00000000:01:00.0 Off |
N/A |
| 22% 40C P8 14W / 250W | 2MiB / 12207MiB | 0%
Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GT 610 Off | 00000000:07:00.0 N/A |
N/A |
| 40% 35C P8 N/A / N/A | 48MiB / 963MiB | N/A
Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU
Memory |
| GPU PID Type Process name Usage
|
|=============================================================================|
| 1 Not Supported
|
+-----------------------------------------------------------------------------+'
*Relevant portion of .bashrc file:*
export CUDA_ROOT=/usr/local/cuda
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"
# export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-8.0/lib64"
export PATH="/usr/local/cuda/bin:$PATH"
export PATH="/usr/local/cuda-8.0/bin:$PATH"
export CUDA_VISIBLE_DEVICES=0
export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda/lib64
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Frédéric Bastien

2017-11-03 17:10:21 UTC

Permalink

Here is the link to help you install it:

https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end(gpuarray)

Post by Adam Jones
c697eeab

Post by Adam Jones
*My system info:*
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu
16.04.2
- Theano installed: via conda
- Theano version:'0.9.0.dev-c697eeab84e5b8a74908da654b66ec9eca4f1291'
- Python version: 2.7
- cuDNN version: 6.0.21
- CUDA compilation tools, release: 8.0, V8.0.61
- GPU model and memory: GeForce GTX Titan X
- Compiler: gcc version 5.4.0
*Problem:*
Fresh install of cuda, cudnn, and theano as per docs
<http://deeplearning.net/software/theano/updating.html#updating>. I get
the following error message when I try importing theano. I know there are a
multitude of posts for this error message, but none have been of any help.
Any guidance would be *greatly* appreciated!
*Error produced:*
libcublas.so.8.0: cannot open shared object file: No such file or directory
UserWarning: Your cuDNN version is more recent than Theano. If you
encounter problems, try updating Theano or downgrading cuDNN to version 5.1.
warnings.warn("Your cuDNN version is more recent than "
ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 164, in <module>
use(config.device)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 151, in use
init_dev(device)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py",
line 68, in init_dev
context.cudnn_handle = dnn._make_handle(context)
File
"/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py",
line 85, in _make_handle
raise RuntimeError("error creating cudnn handle")
RuntimeError: error creating cudnn handle
*Output of 'nvidia-smi':*
'+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.90 Driver Version: 384.90
|
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr.
ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util
Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX TIT... Off | 00000000:01:00.0 Off |
N/A |
| 22% 40C P8 14W / 250W | 2MiB / 12207MiB | 0%
Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GT 610 Off | 00000000:07:00.0 N/A |
N/A |
| 40% 35C P8 N/A / N/A | 48MiB / 963MiB | N/A
Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU
Memory |
| GPU PID Type Process name Usage
|
|=============================================================================|
| 1 Not Supported
|
+-----------------------------------------------------------------------------+'
*Relevant portion of .bashrc file:*
export CUDA_ROOT=/usr/local/cuda
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"
# export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-8.0/lib64"
export PATH="/usr/local/cuda/bin:$PATH"
export PATH="/usr/local/cuda-8.0/bin:$PATH"
export CUDA_VISIBLE_DEVICES=0
export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda/lib64
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