Unable to run drivenet sample

Need help to get driveworks sample running. Any idea what can be the problem?

./src/drivenet/drivenet/sample_drivenet
[20-11-2018 16:32:30] Initialize DriveWorks SDK v1.2.400
[20-11-2018 16:32:30] Release build with GNU 4.8.5 from v1.2.0-rc11-0-ga7f5475
[20-11-2018 16:32:30] Platform: Detected Generic x86 Platform
[20-11-2018 16:32:30] TimeSource: monotonic epoch time offset is 1542723880220026
[20-11-2018 16:32:30] Platform: number of GPU devices detected 1
[20-11-2018 16:32:30] Platform: currently selected GPU device discrete ID 0
[20-11-2018 16:32:30] SDK: Resources mounted from /usr/local/driveworks-1.2/samples/../data/resources
[20-11-2018 16:32:30] SensorFactory::createSensor() -> camera.virtual, dla=0,dlaEngineNo=0,enableFoveal=0,precision=fp32,stopFrame=0,video=/usr/local/driveworks-1.2/samples/../data/samples/raw/rccb.raw
[20-11-2018 16:32:30] CameraVirtual: The recorded RAW video appears to be a version 2, which is no longer supported
[20-11-2018 16:32:30] CameraRAW: no seek table found at /usr/local/driveworks-1.2/samples/../data/samples/raw/rccb.raw.seek, seeking is not available.
Camera image: 1920x1208
Camera image with 1920x1208 at 30 FPS
[20-11-2018 16:32:31] DriveNet: Running in FP32 mode.
[20-11-2018 16:32:31] Added linear block of size 22118400
[20-11-2018 16:32:31] Added linear block of size 7372800
[20-11-2018 16:32:31] Added linear block of size 3225600
[20-11-2018 16:32:31] DataConditioner: Scale transformation has been configured with 0.003922.
[20-11-2018 16:32:31] DataConditioner: Split transformation has been enabled.
[20-11-2018 16:32:31] DataConditioner: Value subtract transformation has been configured with {0.00000, 0.00000, 0.00000}.
[20-11-2018 16:32:31] CUDA cask failure at execution for trt_maxwell_scudnn_128x64_relu_medium_nn_v1.
[20-11-2018 16:32:31] caskConvolutionLayer.cpp (195) - Cuda Error in execute: 48
[20-11-2018 16:32:31] caskConvolutionLayer.cpp (195) - Cuda Error in execute: 48
[20-11-2018 16:32:31] CUDA cask failure at execution for trt_maxwell_scudnn_128x64_relu_medium_nn_v1.
[20-11-2018 16:32:31] caskConvolutionLayer.cpp (195) - Cuda Error in execute: 48
[20-11-2018 16:32:31] caskConvolutionLayer.cpp (195) - Cuda Error in execute: 48
nvidia-smi 
Tue Nov 20 16:34:32 2018       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.37                 Driver Version: 396.37                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Quadro K2200        Off  | 00000000:02:00.0  On |                  N/A |
| 42%   36C    P8     1W /  39W |    201MiB /  4042MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0      1819      G   /usr/lib/xorg/Xorg                           152MiB |
|    0      4849      G   compiz                                        41MiB |
|    0      5867      G   /usr/lib/firefox/firefox                       1MiB |
|    0      6059      G   /usr/lib/firefox/firefox                       1MiB |
+-----------------------------------------------------------------------------+
nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Tue_Jun_12_23:07:04_CDT_2018
Cuda compilation tools, release 9.2, V9.2.148
./mnistCUDNN 
cudnnGetVersion() : 7102 , CUDNN_VERSION from cudnn.h : 7301 (7.3.1)
Host compiler version : GCC 5.4.0
There are 1 CUDA capable devices on your machine :
device 0 : sms  5  Capabilities 5.0, SmClock 1124.0 Mhz, MemSize (Mb) 4042, MemClock 2505.0 Mhz, Ecc=0, boardGroupID=0
Using device 0

Testing single precision
Loading image data/one_28x28.pgm
Performing forward propagation ...
Testing cudnnGetConvolutionForwardAlgorithm ...
Fastest algorithm is Algo 1
Testing cudnnFindConvolutionForwardAlgorithm ...
^^^^ CUDNN_STATUS_SUCCESS for Algo 0: 0.022880 time requiring 0 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 1: 0.035488 time requiring 3464 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 2: 0.044288 time requiring 57600 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 7: 0.266592 time requiring 2057744 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 5: 0.421344 time requiring 203008 memory
Resulting weights from Softmax:
0.0000000 0.9999399 0.0000000 0.0000000 0.0000561 0.0000000 0.0000012 0.0000017 0.0000010 0.0000000 
Loading image data/three_28x28.pgm
Performing forward propagation ...
Resulting weights from Softmax:
0.0000000 0.0000000 0.0000000 0.9999288 0.0000000 0.0000711 0.0000000 0.0000000 0.0000000 0.0000000 
Loading image data/five_28x28.pgm
Performing forward propagation ...
Resulting weights from Softmax:
0.0000000 0.0000008 0.0000000 0.0000002 0.0000000 0.9999820 0.0000154 0.0000000 0.0000012 0.0000006 

Result of classification: 1 3 5

Test passed!

Testing half precision (math in single precision)
Loading image data/one_28x28.pgm
Performing forward propagation ...
Testing cudnnGetConvolutionForwardAlgorithm ...
Fastest algorithm is Algo 1
Testing cudnnFindConvolutionForwardAlgorithm ...
^^^^ CUDNN_STATUS_SUCCESS for Algo 0: 0.023424 time requiring 0 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 1: 0.031360 time requiring 3464 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 2: 0.040128 time requiring 28800 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 7: 0.263808 time requiring 2057744 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 5: 0.422848 time requiring 203008 memory
Resulting weights from Softmax:
0.0000001 1.0000000 0.0000001 0.0000000 0.0000563 0.0000001 0.0000012 0.0000017 0.0000010 0.0000001 
Loading image data/three_28x28.pgm
Performing forward propagation ...
Resulting weights from Softmax:
0.0000000 0.0000000 0.0000000 1.0000000 0.0000000 0.0000714 0.0000000 0.0000000 0.0000000 0.0000000 
Loading image data/five_28x28.pgm
Performing forward propagation ...
Resulting weights from Softmax:
0.0000000 0.0000008 0.0000000 0.0000002 0.0000000 1.0000000 0.0000154 0.0000000 0.0000012 0.0000006 

Result of classification: 1 3 5

Test passed!

Dear Volker2,

Maybe you are using Quadro K2200 based on Kepler architecture.
But for DriveWorks, it is not possible to run on Kepler architecture GPU. Please see below Platform Prerequisites. Thanks.

Platform Prerequisites
On the hardware side, you will need one of the following:

NVIDIA DRIVE™ platform with the latest PDK flashed in the system and/or
PC (x86 architecture) with a NVIDIA GPU (Maxwell based GPU minimum, Pascal based GPU recommended).

Hello SteveNV,
after search the Internet, I found the information that Quadro K2200 is based on GM107 (Maxwell).
https://www.techpowerup.com/gpu-specs/quadro-k2200.c2601

Is this maybe wrong?

Thanks

Dear Volker2,
You need PASCAL GPU to run drive net. Please follow the discussion on the thread at https://devtalk.nvidia.com/default/topic/1043633/driveworks-1-2-samples-getting-cuda-version-runtime-error/