importtorchvision.transformsastransformsfromtorch.autogradimportVariableimportosfromPILimportImageimportnumpyasnpdefimage_loader(image_name,imsize):loader=transforms.Compose([transforms.Resize((imsize,imsize)),# scale imported image
transforms.ToTensor()])# transform it into a torch tensor
image=Image.open(image_name)image=Variable(loader(image))# fake batch dimension required to fit network's input dimensions
image=image.unsqueeze(0)returnimage
bash script
let s:dein_dir =expand('~/.vim/dein')let s:dein_repo_dir = s:dein_dir .'/repos/github.com/Shougo/dein.vim'if &compatible
set nocompatible
endif
"--------------------------
" Start Dein Settings.
"--------------------------
" bundleで管理するディレクトリを指定
execute 'set runtimepath^='. s:dein_repo_dir