No I don't have two CUDAs in my system I have only CUDA8

On Wednesday, 8 February 2017 03:27:51 UTC+5:30, nouiz wrote:
>
> So it probably mean your environment contain a mix of both cuda version. 
> Make sure your environment variable only contain one cude version. 
> Sometimes there is a mix. Using the env variable CUDA_ROOT or the Theano 
> flag cuda.root isn't a reliable way to select which cuda version to use.
>
> Fred
>
> On Mon, Feb 6, 2017 at 10:37 AM Frédéric Bastien <[email protected] 
> <javascript:>> wrote:
>
>> Delete your Theano cache. You probably have it populated with module that 
>> request cuda 7.5. Run:
>>
>> theano-cache purge
>>
>> otherwise, by default it is under ~/.theano
>>
>> Fred
>>
>> On Sun, Feb 5, 2017 at 10:50 PM, Jayendra Parmar <[email protected] 
>> <javascript:>> wrote:
>>
>>> 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]> 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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>>
>>

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