From c960b579a8a873f2ac58bd74d7377aa9d23493b0 Mon Sep 17 00:00:00 2001
From: LiyuanLucasLiu <llychinalz@gmail.com>
Date: Thu, 14 Sep 2017 15:42:47 -0500
Subject: [PATCH] deb

---
 model/crf.py | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/model/crf.py b/model/crf.py
index 75dd2b1..197dce0 100644
--- a/model/crf.py
+++ b/model/crf.py
@@ -35,10 +35,10 @@ def rand_init(self):
 
     def forward(self, feats):
         """
-        input: 
+        inputs: 
             - **feats** (batch_size, seq_len, hidden_dim) : input score from previous layers
 
-        output:
+        outputs:
             - **crf_score** (batch_size, seq_len, tag_size, tag_size) : output from crf layer
         """
         return self.hidden2tag(feats).view(-1, self.tagset_size, self.tagset_size)
@@ -68,10 +68,10 @@ def rand_init(self):
 
     def forward(self, feats):
         """
-        input: 
+        inputs: 
             - **feats** (batch_size, seq_len, hidden_dim) : input score from previous layers
 
-        output:
+        outputs:
             - **crf_score** (batch_size, seq_len, tag_size, tag_size) : output from crf layer
 
         """
@@ -98,11 +98,11 @@ def __init__(self, tagset_size, if_cuda):
     def repack_vb(self, feature, target, mask):
         """packer for viterbi loss
 
-        input: 
+        inputs: 
             - **feature** (Seq_len, Batch_size): input feature
             - **target** (Seq_len, Batch_size): output target
             - **mask** (Seq_len, Batch_size): padding mask
-        output:
+        outputs:
             - **feature** (Seq_len, Batch_size) : input feature
             - **target** (Seq_len, Batch_size) : output target
             - **mask** (Seq_len, Batch_size) : padding mask
@@ -121,11 +121,11 @@ def repack_vb(self, feature, target, mask):
     def repack_gd(self, feature, target, current):
         """packer for greedy loss
 
-        args: 
+        argss: 
             feature: input feature, of size Seq_len * Batch_size
             target: output target, of size Seq_len * Batch_size
             current: current state, of size Seq_len * Batch_size
-        output:
+        outputs:
             feature: input feature, of size Batch_size * Seq_len
             target: output target, of size (Seq_len * Batch_size)
             current: current state, of size (Seq_len * Batch_size) * 1 * 1
@@ -141,6 +141,8 @@ def repack_gd(self, feature, target, current):
         return fea_v, ts_v, cs_v
 
     def convert_for_eval(self, target):
+        """convert target to original decoding
+        """
         return target % self.tagset_size