diff options
Diffstat (limited to 'nerv/examples/lmptb/lm_sampler.lua')
| -rw-r--r-- | nerv/examples/lmptb/lm_sampler.lua | 20 |
1 files changed, 13 insertions, 7 deletions
diff --git a/nerv/examples/lmptb/lm_sampler.lua b/nerv/examples/lmptb/lm_sampler.lua index c165127..c25a75c 100644 --- a/nerv/examples/lmptb/lm_sampler.lua +++ b/nerv/examples/lmptb/lm_sampler.lua @@ -37,14 +37,16 @@ function LMSampler:load_dagL(dagL) self.store[i][1].id = self.sen_end_id self.store[i][1].p = 0 end + self.repo = {} end function LMSampler:sample_to_store(smout) for i = 1, self.batch_size do local ran = math.random() - local s = 0, id = self.vocab:size() + local s = 0 + local id = self.vocab:size() for j = 0, self.vocab:size() - 1 do - s = s + smout[i][j] + s = s + smout[i - 1][j] if s >= ran then id = j + 1 break @@ -56,7 +58,7 @@ function LMSampler:sample_to_store(smout) local tmp = {} tmp.w = self.vocab:get_word_id(id).str tmp.id = id - tmp.p = smout[i][id] + tmp.p = smout[i - 1][id - 1] table.insert(self.store[i], tmp) end end @@ -66,9 +68,8 @@ function LMSampler:lm_sample_rnn_dagL(sample_num, p_conf) local dagL = self.dagL local inputs = self.dagL_inputs local outputs = self.dagL_outputs - - local res = {} - while #res < sample_num do + + while #self.repo < sample_num do dagL:propagate(inputs, outputs) inputs[2]:copy_fromd(outputs[2]) --copy hidden activation @@ -80,7 +81,7 @@ function LMSampler:lm_sample_rnn_dagL(sample_num, p_conf) inputs[1][i - 1][0] = self.store[i][#self.store[i]].id - 1 if self.store[i][#self.store[i]].id == self.sen_end_id then --meet a sentence end if #self.store[i] >= 3 then - res[#res + 1] = self.store[i] + self.repo[#self.repo + 1] = self.store[i] end inputs[2][i - 1]:fill(0) self.store[i] = {} @@ -94,5 +95,10 @@ function LMSampler:lm_sample_rnn_dagL(sample_num, p_conf) collectgarbage("collect") end + local res = {} + for i = 1, sample_num do + res[i] = self.repo[#self.repo] + self.repo[#self.repo] = nil + end return res end |