a706892b59
- remove support for cuDNN - add new pre-trained model and json files - some changes in training script If you have cuDNN model, Please run following commands to convert. $ cp models/your_own_model.t7 models/your_own_model.t7.backup $ th cudnn2cunn.lua -model models/your_own_model.t7
35 lines
996 B
Lua
35 lines
996 B
Lua
require 'cunn'
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require 'cudnn'
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require 'cutorch'
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require './lib/LeakyReLU'
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local srcnn = require 'lib/srcnn'
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local function cudnn2cunn(cudnn_model)
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local cunn_model = srcnn.waifu2x()
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local from_seq = cudnn_model:findModules("cudnn.SpatialConvolution")
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local to_seq = cunn_model:findModules("nn.SpatialConvolutionMM")
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for i = 1, #from_seq do
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local from = from_seq[i]
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local to = to_seq[i]
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to.weight:copy(from.weight)
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to.bias:copy(from.bias)
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end
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cunn_model:cuda()
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cunn_model:evaluate()
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return cunn_model
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end
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local cmd = torch.CmdLine()
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cmd:text()
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cmd:text("convert cudnn model to cunn model ")
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cmd:text("Options:")
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cmd:option("-model", "./model.t7", 'path of cudnn model file')
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cmd:option("-iformat", "ascii", 'input format')
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cmd:option("-oformat", "ascii", 'output format')
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local opt = cmd:parse(arg)
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local cudnn_model = torch.load(opt.model, opt.iformat)
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local cunn_model = cudnn2cunn(cudnn_model)
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torch.save(opt.model, cunn_model, opt.oformat)
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