39 lines
824 B
Lua
39 lines
824 B
Lua
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require 'nn'
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require 'cunn'
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require 'dpnn'
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require 'optim'
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paths.dofile('torch-TripletEmbedding/TripletEmbedding.lua')
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if opt.retrain ~= 'none' then
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assert(paths.filep(opt.retrain), 'File not found: ' .. opt.retrain)
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print('Loading model from file: ' .. opt.retrain);
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modelAnchor = torch.load(opt.retrain)
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else
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paths.dofile(opt.modelDef)
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modelAnchor = createModel(opt.nGPU)
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end
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modelPos = modelAnchor:clone('weight', 'bias', 'gradWeight', 'gradBias')
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modelNeg = modelAnchor:clone('weight', 'bias', 'gradWeight', 'gradBias')
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model = nn.ParallelTable()
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model:add(modelAnchor)
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model:add(modelPos)
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model:add(modelNeg)
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alpha = 0.2
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criterion = nn.TripletEmbeddingCriterion(alpha)
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model = model:cuda()
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criterion:cuda()
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print('=> Model')
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print(model)
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print('=> Criterion')
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print(criterion)
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collectgarbage()
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