cuDNN Test did not pass

[peter_cz]

Hi All,

I followed the installation guide to install cuDNN but I end up with

ubuntu@ubuntu:~/cudnn_samples_v7/mnistCUDNN$ make clean && make
rm -rf *o
rm -rf mnistCUDNN
/usr/local/cuda/bin/nvcc -ccbin g++ -I/usr/local/cuda/include -IFreeImage/include  -m64    -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_53,code=sm_53 -gencode arch=compute_53,code=compute_53 -o fp16_dev.o -c fp16_dev.cu
g++ -I/usr/local/cuda/include -IFreeImage/include   -o fp16_emu.o -c fp16_emu.cpp
g++ -I/usr/local/cuda/include -IFreeImage/include   -o mnistCUDNN.o -c mnistCUDNN.cpp
In file included from /usr/local/cuda/include/channel_descriptor.h:62:0,
                 from /usr/local/cuda/include/cuda_runtime.h:90,
                 from /usr/include/cudnn.h:64,
                 from mnistCUDNN.cpp:30:
/usr/local/cuda/include/cuda_runtime_api.h:1683:101: error: use of enum ‘cudaDeviceP2PAttr’ without previous declaration
 extern __host__ __cudart_builtin__ cudaError_t CUDARTAPI cudaDeviceGetP2PAttribute(int *value, enum cudaDeviceP2PAttr attr, int srcDevice, int dstDevice);
                                                                                                     ^
/usr/local/cuda/include/cuda_runtime_api.h:2930:102: error: use of enum ‘cudaFuncAttribute’ without previous declaration
 extern __host__ __cudart_builtin__ cudaError_t CUDARTAPI cudaFuncSetAttribute(const void *func, enum cudaFuncAttribute attr, int value);
                                                                                                      ^
In file included from /usr/local/cuda/include/channel_descriptor.h:62:0,
                 from /usr/local/cuda/include/cuda_runtime.h:90,
                 from /usr/include/cudnn.h:64,
                 from mnistCUDNN.cpp:30:
/usr/local/cuda/include/cuda_runtime_api.h:5770:92: error: use of enum ‘cudaMemoryAdvise’ without previous declaration
 extern __host__ cudaError_t CUDARTAPI cudaMemAdvise(const void *devPtr, size_t count, enum cudaMemoryAdvise advice, int device);
                                                                                            ^
/usr/local/cuda/include/cuda_runtime_api.h:5827:98: error: use of enum ‘cudaMemRangeAttribute’ without previous declaration
 extern __host__ cudaError_t CUDARTAPI cudaMemRangeGetAttribute(void *data, size_t dataSize, enum cudaMemRangeAttribute attribute, const void *devPtr, size_t count);
                                                                                                  ^
/usr/local/cuda/include/cuda_runtime_api.h:5864:102: error: use of enum ‘cudaMemRangeAttribute’ without previous declaration
 extern __host__ cudaError_t CUDARTAPI cudaMemRangeGetAttributes(void **data, size_t *dataSizes, enum cudaMemRangeAttribute *attributes, size_t numAttributes, const void *devPtr, size_t count);
                                                                                                      ^
Makefile:200: recipe for target 'mnistCUDNN.o' failed
make: *** [mnistCUDNN.o] Error 1

I have installed CUDA-9.0

ubuntu@ubuntu:~/NVIDIA_CUDA-9.0_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 560 Ti"
  CUDA Driver Version / Runtime Version          9.0 / 9.0
  CUDA Capability Major/Minor version number:    2.1
  Total amount of global memory:                 957 MBytes (1003159552 bytes)
MapSMtoCores for SM 2.1 is undefined.  Default to use 64 Cores/SM
MapSMtoCores for SM 2.1 is undefined.  Default to use 64 Cores/SM
  ( 8) Multiprocessors, ( 64) CUDA Cores/MP:     512 CUDA Cores
  GPU Max Clock rate:                            1645 MHz (1.64 GHz)
  Memory Clock rate:                             2004 Mhz
  Memory Bus Width:                              256-bit
  L2 Cache Size:                                 524288 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
  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: 32768
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  1536
  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): (65535, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 1 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
  Supports Cooperative Kernel Launch:            No
  Supports MultiDevice Co-op Kernel Launch:      No
  Device PCI Domain ID / Bus ID / location ID:   0 / 3 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.0, CUDA Runtime Version = 9.0, NumDevs = 1
Result = PASS

[peter_cz]

I open the file:
/usr/include/cudnn.h

And I changed the line:
#include “driver_types.h”

to:
#include <driver_types.h>

and now it can compile…

[astrom]

Thanks @peter_cz!

your solution worked for me as well.

Had the same issue, with 2 x 1080ti + CUDA 9 + cudnn 7

[hannes.vasyura-bathke]

Have the same issue here with CUDA9 + cudnn7 + GTX 1050ti

I would be very interested how such an error can happen undetected?

Also thx to @peter_cz your solution worked for me!

[finlay.macrae]

Your fix worked for me too on cud-9.1 / cudnn7.0.5.15 when upgrading a Google Cloud instance.

Thanks a bunch, but you’d think nvidia would fix an obvious typo like this between releases.

[guilhermelcs]

@peter_cz your solution worked for me too on cuda-9.1 and cudnn7.0.5

[waschbaer00]

I have the same issue here. I have CUDA 9.1 + cuDNN 7.1 + GTX 1080 Ti + nvidia driver 387.34

Works too.

[dotple0124]

Thanks. Works too.

I have CUDA 9.1 + cuDNN 7.1 + GTX 1050 Ti + nvidia driver 387.26 (included CUDA 9.1) + Ubuntu 16.04.4

[jack-jubo]

That just solved my problem, bro! Thanks!

[yudong.yu135]

Thanks a lot! It works!

[joseph.townsend]

This worked for me also, thanks.

[podila.aditya]

this works for me as well cuda 8 and cudnn7.1.3 , nvidia390 driver ,
ubuntu 16.04 ryzen 1700x, 1070 8gb

[srbn.ghosh99]

I am getting this error.

cudnnGetVersion() : 7103 , CUDNN_VERSION from cudnn.h : 7103 (7.1.3)
Cuda failurer version : GCC 5.4.0
Error: unknown error
error_util.h:93
Aborting…

[surya.raj22]

Thanks it worked for me.

[jesus.coyotzi.18]

Same here cuda 9.1 cudnn 7.1.4 driver 390.30
ubuntu 16.04 geforce gtx 1050

Suggested solution worked!

[lucaslovercio]

I think that updating gcc and g++ to version 6 fix this error

[awangenh]

CUDA 9.2, cudnn 7.2 ubuntu 16.04 geforce gtx 1050
Suggested solution worked!
Why is this still bugged???

[soylis.k]

This worked for me also using ubuntu18.04 cuda10.0 cudnn7.4.1.5

[orong13]

Same with cuda 9.0 and cudnn 7.3.1.
The solution works for me also!

[kulpsin]

Thanks a lot, fix still works for Cuda 10.0 and cuDNN 7.4.1.5. Using Ubuntu 18.04.

Didn’t test with any other compiler than default c++ 7.3