Installing Chainer issue

[enzyme69]

I follow every steps, I think all correct, but with GPU example, I am getting error message:

C:_PYTOOLS\neural_style_synthesizer-master>python bin/convert_image_multi.py --
iteration=50 --gpu=0 --xsplit=1 --ysplit=1 --resize=500 input.jpg style.png --ou
tput_image=./convertedGPU.png
Namespace(average_pooling=False, content_image='input.jpg', content_weight=0.005
, debug=False, debug_span=100, gpu=0, init_image='input.jpg', iteration=50, mode
l='vgg', optimize=True, out_dir='output', output_image='./convertedGPU.png', ran
dom_init=False, resize=500, texture_image='style.png', xsplit=1, ysplit=1)
Traceback (most recent call last):
File "bin/convert_image_multi.py", line 48, in
converter = neural_art.image_converters.MultiReferenceImageConverter(texture
_imgs, gpu=args.gpu, content_weight=args.content_weight, texture_weight=1, model
=model, average_pooling=args.average_pooling)
File "bin..\neural_art\image_converters\multi_reference_image_converter.py",
line 14, in init
super(MultiReferenceImageConverter, self).init(gpu=gpu, optimizer=optimi
zer, model=model, content_weight=content_weight, texture_weight=texture_weight,
average_pooling=average_pooling)
File "bin..\neural_art\image_converters\image_converter.py", line 26, in in
it
chainer.cuda.get_device(gpu).use()
File "C:\Python27\lib\site-packages\chainer\cuda.py", line 161, in get_device
check_cuda_available()
File "C:\Python27\lib\site-packages\chainer\cuda.py", line 82, in check_cuda_a
vailable
raise RuntimeError(msg)
RuntimeError: CUDA environment is not correctly set up
(see https://github.com/pfnet/chainer#installation).No module named cupy