From c73e332126f2c89958b68b47f18fdb5ac0276bde Mon Sep 17 00:00:00 2001
From: txh18 <cloudygooseg@gmail.com>
Date: Thu, 3 Dec 2015 13:45:14 +0800
Subject: added al_sen_start stat for lmseqreader

---
 nerv/examples/lmptb/lmptb/lmseqreader.lua        | 15 +++++++++++++--
 nerv/examples/lmptb/m-tests/lmseqreader_test.lua |  4 ++--
 2 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/nerv/examples/lmptb/lmptb/lmseqreader.lua b/nerv/examples/lmptb/lmptb/lmseqreader.lua
index ead8d4c..40471d5 100644
--- a/nerv/examples/lmptb/lmptb/lmseqreader.lua
+++ b/nerv/examples/lmptb/lmptb/lmseqreader.lua
@@ -39,7 +39,8 @@ function LMReader:open_file(fn)
     for i = 1, self.batch_size, 1 do
         self.streams[i] = {["store"] = {}, ["head"] = 1, ["tail"] = 0}
     end
-    
+    self.stat = {} --stat collected during file reading
+    self.stat.al_sen_start = true --check whether it's always sentence_start at the begining of a minibatch
     self.bak_inputs_m = {} --backup MMatrix for temporary storey(then copy to TNN CuMatrix)
     for j = 1, self.chunk_size, 1 do
         self.bak_inputs_m[j] = {}
@@ -169,7 +170,17 @@ function LMReader:get_batch(feeds)
         inputs_m[j][1]:copy_fromh(self.bak_inputs_m[j][1])
     end
 
-    if (got_new == false) then
+    --check for self.al_sen_start
+    for i = 1, self.batch_size do
+        if inputs_s[1][i] ~= self.vocab.sen_end_token and inputs_s[1][i] ~= self.vocab.null_token then
+            self.stat.al_sen_start = false
+        end
+    end
+
+    if got_new == false then
+        nerv.info("lmseqreader file ends, printing stats...")
+        print("al_sen_start:", self.stat.al_sen_start)
+
         return false
     else
         return true
diff --git a/nerv/examples/lmptb/m-tests/lmseqreader_test.lua b/nerv/examples/lmptb/m-tests/lmseqreader_test.lua
index b98ff95..9127559 100644
--- a/nerv/examples/lmptb/m-tests/lmseqreader_test.lua
+++ b/nerv/examples/lmptb/m-tests/lmseqreader_test.lua
@@ -7,7 +7,7 @@ local test_fn = "/home/slhome/txh18/workspace/nerv/nerv/nerv/examples/lmptb/m-te
 --local test_fn = "/home/slhome/txh18/workspace/nerv-project/nerv/examples/lmptb/PTBdata/ptb.train.txt"
 local vocab = nerv.LMVocab()
 vocab:build_file(test_fn)
-local chunk_size = 5
+local chunk_size = 20
 local batch_size = 3
 local global_conf = {
     lrate = 1, wcost = 1e-6, momentum = 0,
@@ -30,7 +30,7 @@ local global_conf = {
     vocab = vocab
 }
 
-local reader = nerv.LMSeqReader(global_conf, batch_size, chunk_size, vocab)
+local reader = nerv.LMSeqReader(global_conf, batch_size, chunk_size, vocab, {["se_mode"] = true})
 reader:open_file(test_fn)
 local feeds = {}
 feeds.flags_now = {}
-- 
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