CUDArray: CUDA back-end not available, using NumPy.

[sukerlove]

Dear andersbll: I run command, but it's not work

gtx1080@suker:~/work/src/github.com/andersbll/neural_artistic_style$ python neural_artistic_style.py --subject images/tuebingen.jpg --style images/starry_night.jpg /usr/lib/python2.7/dist-packages/pkg_resources.py:1031: UserWarning: /home/gtx1080/.python-eggs is writable by group/others and vulnerable to attack when used with get_resource_filename. Consider a more secure location (set with .set_extraction_path or the PYTHON_EGG_CACHE environment variable). warnings.warn(msg, UserWarning) CUDArray: CUDA back-end not available, using NumPy. Traceback (most recent call last): File "neural_artistic_style.py", line 138, in run() File "neural_artistic_style.py", line 99, in run layers, pixel_mean = vgg_net(args.network, pool_method=args.pool_method) File "/home/gtx1080/work/src/github.com/andersbll/neural_artistic_style/matconvnet.py", line 27, in vgg_net img_mean = matconvnet['meta'][0][0][1][0][0][0][0][0] KeyError: 'meta' gtx1080@suker:~/work/src/github.com/andersbll/neural_artistic_style$

Machine configuration: OS............: ubuntu14.04 Memory........: 32G CPU...........: Intel Core i7-6700K 4.00GHz*8 DisplayCard...: NVIDIA GeForce GTX 1080 Harddisk......: 256G ssd

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gtx1080@suker:~$ nvidia-smi Tue Aug 23 21:17:24 2016
+-----------------------------------------------------------------------------+ | NVIDIA-SMI 367.35 Driver Version: 367.35 | |-------------------------------+----------------------+----------------------+ | 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 1080 Off | 0000:01:00.0 On | N/A | | 34% 35C P8 10W / 200W | 1306MiB / 8112MiB | 5% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1169 G /usr/bin/X 1014MiB | | 0 2025 G compiz 59MiB | | 0 3571 G unity-control-center 2MiB | | 0 10412 G ...ves-passed-by-fd --v8-snapshot-passed-by- 227MiB | +-----------------------------------------------------------------------------+ gtx1080@suker:~$

I am looking forward to your reply. Thanks.