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Add option to ignore unknown primetext characters #40

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Add option to ignore unknown primetext characters #40

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5 changes: 5 additions & 0 deletions sample.lua
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,7 @@ cmd:argument('-model','model checkpoint to use for sampling')
cmd:option('-seed',123,'random number generator\'s seed')
cmd:option('-sample',1,' 0 to use max at each timestep, 1 to sample at each timestep')
cmd:option('-primetext',"",'used as a prompt to "seed" the state of the LSTM using a given sequence, before we sample.')
cmd:option('-ignore_bad_primetext',false,'ignore characters in primetext that are not in the trained vocabulary')
cmd:option('-length',2000,'number of characters to sample')
cmd:option('-temperature',1,'temperature of sampling')
cmd:option('-gpuid',0,'which gpu to use. -1 = use CPU')
Expand Down Expand Up @@ -92,6 +93,9 @@ if string.len(seed_text) > 0 then
gprint('seeding with ' .. seed_text)
gprint('--------------------------')
for c in seed_text:gmatch'.' do
if vocab[c] == nil and opt.ignore_bad_primetext then
goto skip_seed_character
end
prev_char = torch.Tensor{vocab[c]}
io.write(ivocab[prev_char[1]])
if opt.gpuid >= 0 then prev_char = prev_char:cuda() end
Expand All @@ -100,6 +104,7 @@ if string.len(seed_text) > 0 then
current_state = {}
for i=1,state_size do table.insert(current_state, lst[i]) end
prediction = lst[#lst] -- last element holds the log probabilities
::skip_seed_character::
end
else
-- fill with uniform probabilities over characters (? hmm)
Expand Down