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- require 'pl'
- local __FILE__ = (function() return string.gsub(debug.getinfo(2, 'S').source, "^@", "") end)()
- package.path = path.join(path.dirname(__FILE__), "..", "lib", "?.lua;") .. package.path
- require 'os'
- require 'w2nn'
- local srcnn = require 'srcnn'
- local function rebuild(old_model)
- local new_model = srcnn.waifu2x_cunn(srcnn.channels(old_model))
- local weight_from = old_model:findModules("nn.SpatialConvolutionMM")
- local weight_to = new_model:findModules("nn.SpatialConvolutionMM")
- assert(#weight_from == #weight_to)
-
- for i = 1, #weight_from do
- local from = weight_from[i]
- local to = weight_to[i]
-
- to.weight:copy(from.weight)
- to.bias:copy(from.bias)
- end
- new_model:cuda()
- new_model:evaluate()
- return new_model
- end
- local cmd = torch.CmdLine()
- cmd:text()
- cmd:text("waifu2x rebuild cunn model")
- cmd:text("Options:")
- cmd:option("-i", "", 'Specify the input model')
- cmd:option("-o", "", 'Specify the output model')
- cmd:option("-iformat", "ascii", 'Specify the input format (ascii|binary)')
- cmd:option("-oformat", "ascii", 'Specify the output format (ascii|binary)')
- local opt = cmd:parse(arg)
- if not path.isfile(opt.i) then
- cmd:help()
- os.exit(-1)
- end
- local old_model = torch.load(opt.i, opt.iformat)
- local new_model = rebuild(old_model)
- torch.save(opt.o, new_model, opt.oformat)
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