| 12345678910111213141516171819202122232425262728293031323334353637383940414243 | require 'pl'local __FILE__ = (function() return string.gsub(debug.getinfo(2, 'S').source, "^@", "") end)()package.path = path.join(path.dirname(__FILE__), "..", "lib", "?.lua;") .. package.pathrequire '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_modelendlocal 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)endlocal 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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