defintely I can run the cuda samples
$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 970M"
CUDA Driver Version / Runtime Version 8.0 / 7.5
CUDA Capability Major/Minor version number: 5.2
Total amount of global memory: 3016 MBytes (3162570752
bytes)
(10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores
GPU Max Clock rate: 1038 MHz (1.04 GHz)
Memory Clock rate: 2505 Mhz
Memory Bus Width: 192-bit
L2 Cache Size: 1572864 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: No
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 = 8.0, CUDA Runtime
Version = 7.5, NumDevs = 1, Device0 = GeForce GTX 970M
Result = PASS
On Monday, 6 February 2017 08:59:50 UTC+5:30, Ria Chakraborty wrote:
>
> Is your GPU supported for CUDA? Check in NVIDIA website for list of GPUs
> supported by CUDA.
>
> On 06-Feb-2017 8:51 AM, "Jayendra Parmar" <[email protected]
> <javascript:>> wrote:
>
>> Tried it, but it didn't help me. Moreover I uninstalled theano and
>> installed it from source, still having that issue.
>>
>> On Monday, 6 February 2017 00:34:52 UTC+5:30, Mustg Oplay wrote:
>>>
>>> May still be worth checking your theanorc file since the same error can
>>> happen in windows:
>>>
>>> Add the following lines to .theanorc:
>>> [nvcc]
>>> flags=--cl-version=2015 -D_FORCE_INLINES
>>> if you do not include the cl-version then you get the error:
>>>
>>> nvcc fatal : nvcc cannot find a supported version of Microsoft Visual
>>> Studio. Only the versions 2010, 2012, and 2013 are supported
>>>
>>> the D_FORCE_INLINES part is for an Ubuntu bug although I'm not sure it's
>>> necessary anymore. It can help prevent this error:
>>>
>>> WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu0 is not
>>> available (error: cuda unavailable)
>>>
>>> Note: This error seems to also show if the g++ version is too new for
>>> the CUDA version.
>>>
>>> --
>>
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