| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465 | require 'w2nn'-- ref: http://arxiv.org/abs/1502.01852-- ref: http://arxiv.org/abs/1501.00092local srcnn = {}function srcnn.waifu2x_cunn(ch)   local model = nn.Sequential()   model:add(nn.SpatialConvolutionMM(ch, 32, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(nn.SpatialConvolutionMM(32, 32, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(nn.SpatialConvolutionMM(32, 64, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(nn.SpatialConvolutionMM(64, 64, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(nn.SpatialConvolutionMM(64, 128, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(nn.SpatialConvolutionMM(128, 128, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(nn.SpatialConvolutionMM(128, ch, 3, 3, 1, 1, 0, 0))   model:add(nn.View(-1):setNumInputDims(3))   --model:cuda()   --print(model:forward(torch.Tensor(32, ch, 92, 92):uniform():cuda()):size())      return modelendfunction srcnn.waifu2x_cudnn(ch)   local model = nn.Sequential()   model:add(cudnn.SpatialConvolution(ch, 32, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(cudnn.SpatialConvolution(32, 32, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(cudnn.SpatialConvolution(32, 64, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(cudnn.SpatialConvolution(64, 64, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(cudnn.SpatialConvolution(64, 128, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(cudnn.SpatialConvolution(128, 128, 3, 3, 1, 1, 0, 0))   model:add(w2nn.LeakyReLU(0.1))   model:add(cudnn.SpatialConvolution(128, ch, 3, 3, 1, 1, 0, 0))   model:add(nn.View(-1):setNumInputDims(3))   --model:cuda()   --print(model:forward(torch.Tensor(32, ch, 92, 92):uniform():cuda()):size())      return modelendfunction srcnn.create(model_name, backend, color)   local ch = 3   if color == "rgb" then      ch = 3   elseif color == "y" then      ch = 1   else      error("unsupported color: " + color)   end   if backend == "cunn" then      return srcnn.waifu2x_cunn(ch)   elseif backend == "cudnn" then      return srcnn.waifu2x_cudnn(ch)   else      error("unsupported backend: " +  backend)   endendreturn srcnn
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