ismember with 'rows' option fails on GPU

Hi, when I run the command

 [Lia, Locb] = ismember(gpuArray(Ent_Pair_Pos), gpuArray(Ent_Pair_Dmel), 'rows')

I get this error

Error using gpuArray/ismember
Failed to initialize GPU BLAS library.

I am using MATLAB Version: 9.0.0.341360 (R2016a) on Ubuntu 14.04. I am attaching data files here. Any idea regarding the error?

Thanks in advance

[Joss Knight]

Well, it works for me. It looks like a driver problem. You should try installing the latest NVIDIA drivers.

[Wasim Aftab]

Hi Joss, Its not working with 'rows' option.

CUDADevice with properties:

                      Name: 'GeForce GTX TITAN X'
                     Index: 1
         ComputeCapability: '5.2'
            SupportsDouble: 1
             DriverVersion: 9
            ToolkitVersion: 8
        MaxThreadsPerBlock: 1024
          MaxShmemPerBlock: 49152
        MaxThreadBlockSize: [1024 1024 64]
               MaxGridSize: [2147483647 65535 65535]
                 SIMDWidth: 32
               TotalMemory: 12794789888
           AvailableMemory: 11489981880
       MultiprocessorCount: 24
              ClockRateKHz: 1076000
               ComputeMode: 'Default'
      GPUOverlapsTransfers: 1
    KernelExecutionTimeout: 1
          CanMapHostMemory: 1
           DeviceSupported: 1
            DeviceSelected: 1

Mon Jul  2 15:26:34 2018       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.130                Driver Version: 384.130                   |
|-------------------------------+----------------------+----------------------+
| 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  On |                  N/A |
| 22%   49C    P8    17W / 250W |   1254MiB / 12202MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1457      G   /usr/bin/X                                   362MiB |
|    0      2701      G   compiz                                       182MiB |
|    0      5901      C   /opt/anaconda3/bin/python                    473MiB |
|    0      6615    C+G   .../local/MATLAB/R2017b/bin/glnxa64/MATLAB   222MiB |
+-----------------------------------------------------------------------------+