diff options
| author | Determinant <[email protected]> | 2015-06-07 11:55:09 +0800 |
|---|---|---|
| committer | Determinant <[email protected]> | 2015-06-07 11:55:09 +0800 |
| commit | 6e720b961f7edac9c3a41affe0ca40dd0ec9fc85 (patch) | |
| tree | 19ba0a682f9b75e70e18b796fbe5315ee5953d3a /examples/asr_trainer.lua | |
| parent | 5bcd5d79875587b08d598cc08bd5f8b1f5e14a23 (diff) | |
fix memory leak in profiling; other minor changes
Diffstat (limited to 'examples/asr_trainer.lua')
| -rw-r--r-- | examples/asr_trainer.lua | 20 |
1 files changed, 13 insertions, 7 deletions
diff --git a/examples/asr_trainer.lua b/examples/asr_trainer.lua index d72b763..2993192 100644 --- a/examples/asr_trainer.lua +++ b/examples/asr_trainer.lua @@ -35,8 +35,9 @@ function build_trainer(ifname) print_stat(crit) if (not bp) and prefix ~= nil then nerv.info("writing back...") - local accu_cv = get_accuracy(crit) - cf = nerv.ChunkFile(prefix .. "_cv" .. accu_cv .. ".nerv", "w") + local fname = string.format("%s_cv%.3f.nerv", + prefix, get_accuracy(crit)) + cf = nerv.ChunkFile(fname, "w") for i, p in ipairs(network:get_params()) do cf:write_chunk(p) end @@ -53,7 +54,7 @@ halving_factor = 0.6 end_halving_inc = 0.1 min_iter = 1 max_iter = 20 -min_halving = 6 +min_halving = 5 gconf.batch_size = 256 gconf.buffer_size = 81920 @@ -65,11 +66,16 @@ local do_halving = false nerv.info("initial cross validation: %.3f", accu_best) for i = 1, max_iter do - nerv.info("iteration %d with lrate = %.6f", i, gconf.lrate) + nerv.info("[NN] begin iteration %d with lrate = %.6f", i, gconf.lrate) local accu_tr = trainer(nil, gconf.tr_scp, true) nerv.info("[TR] training set %d: %.3f", i, accu_tr) - local accu_new = trainer(pf0 .. "_iter" .. i .. "_tr" .. accu_tr, - gconf.cv_scp, false) + local accu_new = trainer( + string.format("%s_%s_iter_%d_lr%f_tr%.3f", + string.gsub(pf0, "(.*/)(.*)%..*", "%2"), + os.date("%Y%m%d%H%M%S"), + i, gconf.lrate, + accu_tr), + gconf.cv_scp, false) nerv.info("[CV] cross validation %d: %.3f", i, accu_new) -- TODO: revert the weights local accu_diff = accu_new - accu_best @@ -85,5 +91,5 @@ for i = 1, max_iter do if accu_new > accu_best then accu_best = accu_new end + nerv.Matrix.print_profile() end -nerv.Matrix.print_profile() |