refactor tools/export_model.lua
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@ -4,21 +4,45 @@ package.path = path.join(path.dirname(__FILE__), "..", "lib", "?.lua;") .. packa
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require 'w2nn'
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local cjson = require "cjson"
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local model = torch.load(arg[1], "ascii")
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local jmodules = {}
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local modules = model:findModules("nn.SpatialConvolutionMM")
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for i = 1, #modules, 1 do
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local module = modules[i]
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local jmod = {
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kW = module.kW,
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kH = module.kH,
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nInputPlane = module.nInputPlane,
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nOutputPlane = module.nOutputPlane,
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bias = torch.totable(module.bias:float()),
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weight = torch.totable(module.weight:float():reshape(module.nOutputPlane, module.nInputPlane, module.kW, module.kH))
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}
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table.insert(jmodules, jmod)
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function export(model, output)
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local jmodules = {}
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local modules = model:findModules("nn.SpatialConvolutionMM")
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if #modules == 0 then
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-- cudnn model
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modules = model:findModules("cudnn.SpatialConvolution")
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end
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for i = 1, #modules, 1 do
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local module = modules[i]
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local jmod = {
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kW = module.kW,
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kH = module.kH,
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nInputPlane = module.nInputPlane,
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nOutputPlane = module.nOutputPlane,
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bias = torch.totable(module.bias:float()),
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weight = torch.totable(module.weight:float():reshape(module.nOutputPlane, module.nInputPlane, module.kW, module.kH))
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}
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table.insert(jmodules, jmod)
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end
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local fp = io.open(output, "w")
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if not fp then
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error("IO Error: " .. output)
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end
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fp:write(cjson.encode(jmodules))
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fp:close()
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end
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io.write(cjson.encode(jmodules))
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local cmd = torch.CmdLine()
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cmd:text()
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cmd:text("waifu2x export model")
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cmd:text("Options:")
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cmd:option("-i", "input.t7", 'Specify the input torch model')
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cmd:option("-o", "output.json", 'Specify the output json file')
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cmd:option("-iformat", "ascii", 'Specify the input format (ascii|binary)')
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local opt = cmd:parse(arg)
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if not path.isfile(opt.i) then
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cmd:help()
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os.exit(-1)
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end
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local model = torch.load(opt.i, opt.iformat)
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export(model, opt.o)
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