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

---

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.