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Save/Load optimzer state #3

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Save/Load optimzer state #3

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c87f1d7
Save/Load optimzer state
Aug 22, 2016
a9bbe98
Fix Spelling
Aug 22, 2016
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15 changes: 13 additions & 2 deletions train.lua
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,8 @@ cmd:option('-model', 'model', 'neural network model')
cmd:option('-data', 'data.t7', 'training data')
cmd:option('-learningRate', 0.01, 'learning rate')
cmd:option('-initweights', '', 'initial weights')
cmd:option('-initstate', '', 'initial optimizer state')


params = cmd:parse(arg)

Expand Down Expand Up @@ -144,13 +146,20 @@ function trainModel(weights)
return {cost}, dw
end

-- create directory to save weights and videos
-- create directory to save weights, optimizer state and videos
lfs.mkdir('weights_' .. params.model)
lfs.mkdir('state_' .. params.model)
lfs.mkdir('video_' .. params.model)

local total_cost, config, state = 0, { learningRate = params.learningRate }, {}
collectgarbage()

if #params.initstate > 0 then
print('Loading optimizer state ' .. params.initstate)
state=torch.load(params.initstate)
end


for k = 1,params.iter do
xlua.progress(k, params.iter)
local _, cost = optim.adagrad(trainModel, w, config, state)
Expand All @@ -159,8 +168,10 @@ for k = 1,params.iter do
if k % 1000 == 0 then
print('Iteration ' .. k .. ', cost: ' .. total_cost / 1000)
total_cost = 0
-- save weights
-- save weights and optimizer state
torch.save('weights_' .. params.model .. '/' .. k .. '.dat', w:type('torch.FloatTensor'))
torch.save('state_' .. params.model .. '/' .. k .. '.dat', state)

-- visualise performance
evalModel(w)
end
Expand Down