Thanks a lot man! :)
On Friday, August 28, 2015 at 10:25:42 AM UTC+8, Kumar Saurabh wrote:
>
> The problem got fixed by doing
>
> sudo ldconfig /usr/local/cuda/lib64
>
>
> On Thursday, 27 August 2015 11:47:20 UTC+5:30, Kumar Saurabh wrote:
>>
>> I have installed CUDA (ver 7). I am using Ubuntu 14.04.
>> I have a GTX960 card.
>>
>> Checking for GPU gives the following error:
>>
>> desktop@desktop:~/TheanoExperiments$
>> THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python check1.py
>> ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu:
>> libcublas.so.7.0: cannot open shared object file: No such file or directory
>> WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu is not
>> available (error: cuda unavilable)
>> [Elemwise{exp,no_inplace}(<TensorType(float32, vector)>)]
>> Looping 1000 times took 2.20745301247 seconds
>> Result is [ 1.23178029 1.61879337 1.52278066 ..., 2.20771813
>> 2.29967761
>> 1.62323284]
>> Used the cpu
>>
>>
>> Running nvidia-smi shows the card
>>
>> desktop@desktop:~/TheanoExperiments$ nvidia-smi
>> Thu Aug 27 11:36:06 2015
>> +------------------------------------------------------+
>>
>>
>> | NVIDIA-SMI 346.82 Driver Version: 346.82
>> |
>>
>> |-------------------------------+----------------------+----------------------+
>> | 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 960 Off | 0000:01:00.0 N/A |
>> N/A |
>> | 45% 39C P2 N/A / N/A | 525MiB / 4095MiB | N/A
>> Default |
>>
>> +-------------------------------+----------------------+----------------------+
>>
>>
>>
>>
>> +-----------------------------------------------------------------------------+
>> | Processes: GPU
>> Memory |
>> | GPU PID Type Process name
>> Usage |
>>
>> |=============================================================================|
>> | 0 C+G Not
>> Supported |
>>
>> +-----------------------------------------------------------------------------+
>>
>> The path is
>> desktop@desktop:~/TheanoExperiments$ echo $PATH
>>
>> /usr/local/cuda-7.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
>>
>> Running device query gives the following output
>> desktop@desktop:~/samples/NVIDIA_CUDA-7.0_Samples/bin/x86_64/linux/release$
>> ./deviceQuery
>> ./deviceQuery Starting...
>>
>> CUDA Device Query (Runtime API) version (CUDART static linking)
>>
>> Detected 1 CUDA Capable device(s)
>>
>> Device 0: "GeForce GTX 960"
>> CUDA Driver Version / Runtime Version 7.0 / 7.0
>> CUDA Capability Major/Minor version number: 5.2
>> Total amount of global memory: 4095 MBytes (4294246400
>> bytes)
>> ( 8) Multiprocessors, (128) CUDA Cores/MP: 1024 CUDA Cores
>> GPU Max Clock rate: 1240 MHz (1.24 GHz)
>> Memory Clock rate: 3505 Mhz
>> Memory Bus Width: 128-bit
>> L2 Cache Size: 1048576 bytes
>> Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,
>> 65536), 3D=(4096, 4096, 4096)
>> Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
>> Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048
>> layers
>> Total amount of constant memory: 65536 bytes
>> Total amount of shared memory per block: 49152 bytes
>> Total number of registers available per block: 65536
>> Warp size: 32
>> Maximum number of threads per multiprocessor: 2048
>> Maximum number of threads per block: 1024
>> Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
>> Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
>> Maximum memory pitch: 2147483647 bytes
>> Texture alignment: 512 bytes
>> Concurrent copy and kernel execution: Yes with 2 copy engine(s)
>> Run time limit on kernels: Yes
>> Integrated GPU sharing Host Memory: No
>> Support host page-locked memory mapping: Yes
>> Alignment requirement for Surfaces: Yes
>> Device has ECC support: Disabled
>> Device supports Unified Addressing (UVA): Yes
>> Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
>> Compute Mode:
>> < Default (multiple host threads can use ::cudaSetDevice() with
>> device simultaneously) >
>>
>> deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.0, CUDA
>> Runtime Version = 7.0, NumDevs = 1, Device0 = GeForce GTX 960
>> Result = PASS
>>
>>
>>
>>
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