GPU=1 make fails

[Dahlasam]

While CPU make succeeds and darknet works well, the GPU=1 make to enable GPU support fails.
I get the following compiling errors:

ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 115; error : Call has wrong number of parameters ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 144; error : Call has wrong number of parameters ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 227; error : Call has wrong number of parameters ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 257; error : Call has wrong number of parameters ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 341; error : Call has wrong number of parameters ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 361; error : Call has wrong number of parameters ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 379; error : Call has wrong number of parameters ptxas /tmp/tmpxft_00001c51_00000000-15_convolutional_kernels.compute_30.ptx, line 399; error : Call has wrong number of parameters ptxas fatal : Ptx assembly aborted due to errors Makefile:91: recipe for target 'obj/convolutional_kernels.o' failed make: *** [obj/convolutional_kernels.o] Error 255
System details:
OS: Ubuntu 16.04 x64
GPU: Nvidia GTX 1060
nvidia-smi output:

`+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.81 Driver Version: 384.81 |
|-------------------------------+----------------------+----------------------+
| 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 106... Off | 00000000:01:00.0 On | N/A |
| 0% 43C P8 7W / 156W | 5955MiB / 6069MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1042 G /usr/lib/xorg/Xorg 197MiB |
| 0 1839 G compiz 77MiB |
| 0 2923 G ...-token=5D46E4CA8207FFF70E348E0EA2F3C753 108MiB |
| 0 28788 C /home/sami/miniconda2/bin/python 5567MiB |
+-----------------------------------------------------------------------------+`

Any suggestions? What CUDA and CUDNN versions are supported?

Thanks,
Sami

[4F2E4A2E]

@Dahlasam why is it closed? Did you solved it?

[Dahlasam]

Hi, Yes - the issue related to local configuration gap only in my system and I got the CUDA and cuDNN working after ~/.bashrc update. And I mistakenly created this issue in ofxDarknet while I faced the problem originally with baseline darknet. The same topic issue in darknet by @AnanasPie: pjreddie/darknet#230 BRs, Sami --

…

On Wed, Oct 11, 2017 at 10:41 AM, 4F2E4A2E ***@***.***> wrote: @Dahlasam <https://github.com/dahlasam> why is it closed? Did you solved it? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#34 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AIFUlwhcyCIEPz3m_JAoh0r2_sZqxj8eks5srHEWgaJpZM4PxX6O> .

[4F2E4A2E]

Thanks man!

[bit-scientist]

Hi @Dahlasam, please could you show me how to update ~/.bashrc?
I'm also facing similar issue in another project based on this repo. PLease refer to here