-
Notifications
You must be signed in to change notification settings - Fork 0
/
domain_interpolation_data_iterator.py
206 lines (170 loc) · 7.21 KB
/
domain_interpolation_data_iterator.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
import numpy
import gzip
import shuffle
from util import load_dict
import math
def fopen(filename, mode='r'):
if filename.endswith('.gz'):
return gzip.open(filename, mode)
return open(filename, mode)
class DomainInterpolatorTextIterator:
"""Bitext iterator with domain interpolation."""
def __init__(self, source, target,
source_dicts, target_dict,
batch_size=128,
maxlen=100,
n_words_source=-1,
n_words_target=-1,
skip_empty=False,
shuffle_each_epoch=False,
sort_by_length=True,
indomain_source='', indomain_target='',
interpolation_rate=0.1,
use_factor=False,
maxibatch_size=20):
if shuffle_each_epoch:
self.source_orig = source
self.target_orig = target
self.source, self.target = shuffle.main([self.source_orig, self.target_orig], temporary=True)
self.indomain_source_orig = indomain_source
self.indomain_target_orig = indomain_target
self.indomain_source, self.indomain_target = shuffle.main([self.indomain_source_orig, self.indomain_target_orig], temporary=True)
else:
self.source = fopen(source, 'r')
self.target = fopen(target, 'r')
self.indomain_source = fopen(indomain_source, 'r')
self.indomain_target = fopen(indomain_target, 'r')
self.source_dicts = []
for source_dict in source_dicts:
self.source_dicts.append(load_dict(source_dict))
self.target_dict = load_dict(target_dict)
self.batch_size = batch_size
self.maxlen = maxlen
self.skip_empty = skip_empty
self.use_factor = use_factor
self.n_words_source = n_words_source
self.n_words_target = n_words_target
if self.n_words_source > 0:
for d in self.source_dicts:
for key, idx in d.items():
if idx >= self.n_words_source:
del d[key]
if self.n_words_target > 0:
for key, idx in self.target_dict.items():
if idx >= self.n_words_target:
del self.target_dict[key]
self.shuffle = shuffle_each_epoch
self.sort_by_length = sort_by_length
self.source_buffer = []
self.target_buffer = []
self.k = batch_size * maxibatch_size
self.end_of_data = False
self.interpolation_rate = interpolation_rate
self.cur_interpolation_rate = self.interpolation_rate
self.indomain_k = int(math.ceil(self.cur_interpolation_rate * self.k))
self.outdomain_k = self.k - self.indomain_k
def __iter__(self):
return self
def reset(self):
if self.shuffle:
self.source, self.target = shuffle.main([self.source_orig, self.target_orig], temporary=True)
else:
self.source.seek(0)
self.target.seek(0)
def indomain_reset(self):
if self.shuffle:
self.indomain_source, self.indomain_target = shuffle.main([self.indomain_source_orig, self.indomain_target_orig], temporary=True)
else:
self.indomain_source.seek(0)
self.indomain_target.seek(0)
def adjust_domain_interpolation_rate(self, interpolation_rate):
# discard sentences in buffers
self.source_buffer = []
self.target_buffer = []
# adjust rate
self.cur_interpolation_rate = interpolation_rate
self.indomain_k = int(math.ceil(self.cur_interpolation_rate * self.k))
self.outdomain_k = self.k - self.indomain_k
def next(self):
if self.end_of_data:
self.end_of_data = False
self.reset()
#raise StopIteration
source = []
target = []
# fill buffer, if it's empty
assert len(self.source_buffer) == len(self.target_buffer), 'Buffer size mismatch!'
if len(self.source_buffer) == 0:
for k_ in xrange(self.outdomain_k):
ss = self.source.readline()
if ss == "":
break
tt = self.target.readline()
if tt == "":
break
self.source_buffer.append(ss.strip().split())
self.target_buffer.append(tt.strip().split())
for k_ in xrange(self.indomain_k):
indomain_error = False
try:
ss = self.indomain_source.readline()
tt = self.indomain_target.readline()
except IOError:
indomain_error = True
if (ss == "") or (tt == "") or indomain_error:
self.indomain_reset()
raise StopIteration
self.source_buffer.append(ss.strip().split())
self.target_buffer.append(tt.strip().split())
# sort by target buffer
if self.sort_by_length:
tlen = numpy.array([len(t) for t in self.target_buffer])
tidx = tlen.argsort()
_sbuf = [self.source_buffer[i] for i in tidx]
_tbuf = [self.target_buffer[i] for i in tidx]
self.source_buffer = _sbuf
self.target_buffer = _tbuf
else:
self.source_buffer.reverse()
self.target_buffer.reverse()
if len(self.source_buffer) == 0 or len(self.target_buffer) == 0:
self.end_of_data = False
self.reset()
#raise StopIteration
try:
# actual work here
while True:
# read from source file and map to word index
try:
ss = self.source_buffer.pop()
except IndexError:
break
tmp = []
for w in ss:
if self.use_factor:
w = [self.source_dicts[i][f] if f in self.source_dicts[i] else 1 for (i,f) in enumerate(w.split('|'))]
else:
w = [self.source_dicts[0][w] if w in self.source_dicts[0] else 1]
tmp.append(w)
ss = tmp
# read from source file and map to word index
tt = self.target_buffer.pop()
tt = [self.target_dict[w] if w in self.target_dict else 1
for w in tt]
if self.n_words_target > 0:
tt = [w if w < self.n_words_target else 1 for w in tt]
if len(ss) > self.maxlen and len(tt) > self.maxlen:
continue
if self.skip_empty and (not ss or not tt):
continue
source.append(ss)
target.append(tt)
if len(source) >= self.batch_size or \
len(target) >= self.batch_size:
break
except IOError:
self.end_of_data = True
# all sentence pairs in maxibatch filtered out because of length
if len(source) == 0 or len(target) == 0:
source, target = self.next()
return source, target