diff options
Diffstat (limited to 'nerv/examples/lmptb/lmptb/layer/select_linear.lua')
| -rw-r--r-- | nerv/examples/lmptb/lmptb/layer/select_linear.lua | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/nerv/examples/lmptb/lmptb/layer/select_linear.lua b/nerv/examples/lmptb/lmptb/layer/select_linear.lua index 580b9c5..f07eb2f 100644 --- a/nerv/examples/lmptb/lmptb/layer/select_linear.lua +++ b/nerv/examples/lmptb/lmptb/layer/select_linear.lua @@ -30,15 +30,15 @@ function SL:init(batch_size) end function SL:update(bp_err, input, output) - --use this to produce reproducable result + --use this to produce reproducable result, don't forget to set the dropout to zero! --for i = 1, input[1]:nrow(), 1 do -- local word_vec = self.ltp.trans[input[1][i - 1][0]] -- word_vec:add(word_vec, bp_err[1][i - 1], 1, - self.gconf.lrate / self.gconf.batch_size) --end --I tried the update_select_rows kernel which uses atomicAdd, but it generates unreproducable result - self.ltp.trans:update_select_rows(bp_err[1], input[1]:trans(), - self.gconf.lrate / self.gconf.batch_size, 0) - self.ltp.trans:add(self.ltp.trans, self.ltp.trans, 1.0, - self.gconf.lrate * self.gconf.wcost / self.gconf.batch_size) + self.ltp.trans:update_select_rows_by_colidx(bp_err[1], input[1], - self.gconf.lrate / self.gconf.batch_size, 0) + self.ltp.trans:add(self.ltp.trans, self.ltp.trans, 1.0, - self.gconf.lrate * self.gconf.wcost) end function SL:propagate(input, output) @@ -49,7 +49,7 @@ function SL:propagate(input, output) -- output[1][i]:fill(0) -- end --end - output[1]:copy_rows_fromd_by_idx(self.ltp.trans, input[1]:trans()) + output[1]:copy_rows_fromd_by_colidx(self.ltp.trans, input[1]) end function SL:back_propagate(bp_err, next_bp_err, input, output) |