File size: 15,936 Bytes
158b61b |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 |
#!/usr/bin/env python
# Written by Michael Denkowski
#
# This file is part of moses. Its use is licensed under the GNU Lesser General
# Public License version 2.1 or, at your option, any later version.
"""Parallelize decoding with simulated post-editing via moses XML input.
(XML entities need to be escaped in tokenization). Memory mapped
dynamic phrase tables (Ulrich Germann,
www.statmt.org/moses/?n=Moses.AdvancedFeatures#ntoc40) and language models
(Kenneth Heafield,
http://www.statmt.org/moses/?n=FactoredTraining.BuildingLanguageModel#ntoc19)
facilitate memory efficient multi process decoding. Input is divided into
batches, each of which is decoded sequentially. Each batch pre-loads the
data from previous batches.
To use in tuning, run mert-moses.pl with --sim-pe=SYMAL where SYMAL is the
alignment from input to references. Specify the number of jobs with
--decoder-flags="-threads N".
"""
import gzip
import itertools
import math
import os
import shutil
import subprocess
import sys
import tempfile
import threading
HELP = '''Moses with simulated post-editing
Usage:
{} moses-cmd -config moses.ini -input-file text.src -ref text.tgt \
-symal text.src-tgt.symal [options] [decoder flags]
Options:
-threads N: number of decoders to run in parallel \
(default read from moses.ini, 1 if not present)
-n-best-list nbest.out N [distinct]: location and size of N-best list
-show-weights: for mert-moses.pl, just call moses and exit
-tmp: location of temp directory (default /tmp)
Other options (decoder flags) are passed through to moses-cmd\n'''
class ProgramFailure(Exception):
"""Known kind of failure, with a known presentation to the user.
Error message will be printed, and the program will return an error,
but no traceback will be shown to the user.
"""
class Progress:
"""Provides progress bar."""
def __init__(self):
self.i = 0
self.lock = threading.Lock()
def inc(self):
self.lock.acquire()
self.i += 1
if self.i % 100 == 0:
sys.stderr.write('.')
if self.i % 1000 == 0:
sys.stderr.write(' [{}]\n'.format(self.i))
sys.stderr.flush()
self.lock.release()
def done(self):
self.lock.acquire()
if self.i % 1000 != 0:
sys.stderr.write('\n')
self.lock.release()
def atomic_io(cmd, in_file, out_file, err_file, prog=None):
"""Run with atomic (synchronous) I/O."""
with open(in_file, 'r') as inp, open(out_file, 'w') as out, open(err_file, 'w') as err:
p = subprocess.Popen(
cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=err)
while True:
line = inp.readline()
if not line:
break
p.stdin.write(line)
out.write(p.stdout.readline())
out.flush()
if prog:
prog.inc()
p.stdin.close()
p.wait()
def gzopen(f):
"""Open plain or gzipped text."""
return gzip.open(f, 'rb') if f.endswith('.gz') else open(f, 'r')
def wc(f):
"""Word count."""
i = 0
for line in gzopen(f):
i += 1
return i
def write_gzfile(lines, f):
"""Write lines to gzipped file."""
out = gzip.open(f, 'wb')
for line in lines:
out.write('{}\n'.format(line))
out.close()
def main(argv):
# Defaults
moses_ini = None
moses_ini_lines = None
text_src = None
text_tgt = None
text_symal = None
text_len = None
threads_found = False
threads = 1
n_best_out = None
n_best_size = None
n_best_distinct = False
hg_ext = None
hg_dir = None
tmp_dir = '/tmp'
xml_found = False
xml_input = 'exclusive'
show_weights = False
mmsapt_dynamic = []
mmsapt_static = []
mmsapt_l1 = None
mmsapt_l2 = None
# Decoder command
cmd = argv[1:]
# Parse special options and remove from cmd
i = 1
while i < len(cmd):
if cmd[i] in ('-f', '-config'):
moses_ini = cmd[i + 1]
cmd = cmd[:i] + cmd[i + 2:]
elif cmd[i] in ('-i', '-input-file'):
text_src = cmd[i + 1]
cmd = cmd[:i] + cmd[i + 2:]
elif cmd[i] == '-ref':
text_tgt = cmd[i + 1]
cmd = cmd[:i] + cmd[i + 2:]
elif cmd[i] == '-symal':
text_symal = cmd[i + 1]
cmd = cmd[:i] + cmd[i + 2:]
elif cmd[i] in ('-th', '-threads'):
threads_found = True
threads = int(cmd[i + 1])
cmd = cmd[:i] + cmd[i + 2:]
elif cmd[i] == '-n-best-list':
n_best_out = cmd[i + 1]
n_best_size = cmd[i + 2]
# Optional "distinct"
if i + 3 < len(cmd) and cmd[i + 3] == 'distinct':
n_best_distinct = True
cmd = cmd[:i] + cmd[i + 4:]
else:
cmd = cmd[:i] + cmd[i + 3:]
elif cmd[i] == '-output-search-graph-hypergraph':
# cmd[i + 1] == true
hg_ext = cmd[i + 2]
if i + 3 < len(cmd) and cmd[i + 3][0] != '-':
hg_dir = cmd[i + 3]
cmd = cmd[:i] + cmd[i + 4:]
else:
hg_dir = 'hypergraph'
cmd = cmd[:i] + cmd[i + 3:]
elif cmd[i] == '-tmp':
tmp_dir = cmd[i + 1]
cmd = cmd[:i] + cmd[i + 2:]
# Handled specially to make sure XML input is turned on somewhere
elif cmd[i] in ('-xi', '-xml-input'):
xml_found = True
xml_input = cmd[i + 1]
cmd = cmd[:i] + cmd[i + 2:]
# Handled specially for mert-moses.pl
elif cmd[i] == '-show-weights':
show_weights = True
# Do not remove from cmd
i += 1
else:
i += 1
# Read moses.ini
if moses_ini:
moses_ini_lines = [line.strip() for line in open(moses_ini, 'r')]
i = 0
while i < len(moses_ini_lines):
# PhraseDictionaryBitextSampling name=TranslationModel0
# output-factor=0 num-features=7 path=corpus. L1=src L2=tgt
# pfwd=g pbwd=g smooth=0 sample=1000 workers=1
if moses_ini_lines[i].startswith('PhraseDictionaryBitextSampling'):
for (k, v) in (pair.split('=') for pair in moses_ini_lines[i].split()[1:]):
if k == 'name':
# Dynamic means update this model
if v.startswith('Dynamic'):
mmsapt_dynamic.append(v)
moses_ini_lines[i] += '{mmsapt_extra}'
else:
mmsapt_static.append(v)
elif k == 'L1':
if mmsapt_l1 and v != mmsapt_l1:
raise ProgramFailure(
'Error: All PhraseDictionaryBitextSampling '
'entries should have same L1: '
'{} != {}\n'.format(v, mmsapt_l1))
mmsapt_l1 = v
elif k == 'L2':
if mmsapt_l2 and v != mmsapt_l2:
raise ProgramFailure(
'Error: All PhraseDictionaryBitextSampling '
'entries should have same L2: '
'{} != {}\n'.format(v, mmsapt_l2))
mmsapt_l2 = v
# [threads]
# 8
elif moses_ini_lines[i] == '[threads]':
# Prefer command line over moses.ini
if not threads_found:
threads = int(moses_ini_lines[i + 1])
i += 1
# [xml-input]
# exclusive
elif moses_ini_lines[i] == '[xml-input]':
# Prefer command line over moses.ini
if not xml_found:
xml_found = True
xml_input = moses_ini_lines[i + 1]
i += 1
i += 1
# If mert-moses.pl passes -show-weights, just call moses
if show_weights:
# re-append original moses.ini
cmd.append('-config')
cmd.append(moses_ini)
sys.stdout.write(subprocess.check_output(cmd))
sys.stdout.flush()
sys.exit(0)
# Input length
if text_src:
text_len = wc(text_src)
# Check inputs
if not (len(cmd) > 0 and all((moses_ini, text_src, text_tgt, text_symal))):
sys.stderr.write(HELP.format(argv[0]))
sys.exit(2)
if not (os.path.isfile(cmd[0]) and os.access(cmd[0], os.X_OK)):
raise ProgramFailure(
'Error: moses-cmd "{}" is not executable\n'.format(cmd[0]))
if not mmsapt_dynamic:
raise ProgramFailure((
'Error: no PhraseDictionaryBitextSampling entries named '
'"Dynamic..." found in {}. See '
'http://www.statmt.org/moses/?n=Moses.AdvancedFeatures#ntoc40\n'
).format(moses_ini))
if wc(text_tgt) != text_len or wc(text_symal) != text_len:
raise ProgramFailure(
'Error: length mismatch between "{}", "{}", and "{}"\n'.format(
text_src, text_tgt, text_symal))
# Setup
work_dir = tempfile.mkdtemp(prefix='moses.', dir=os.path.abspath(tmp_dir))
threads = min(threads, text_len)
batch_size = int(math.ceil(float(text_len) / threads))
# Report settings
sys.stderr.write(
'Moses flags: {}\n'.format(
' '.join('\'{}\''.format(s) if ' ' in s else s for s in cmd[1:])))
for (i, n) in enumerate(mmsapt_dynamic):
sys.stderr.write(
'Dynamic mmsapt {}: {} {} {}\n'.format(
i, n, mmsapt_l1, mmsapt_l2))
for (i, n) in enumerate(mmsapt_static):
sys.stderr.write(
'Static mmsapt {}: {} {} {}\n'.format(i, n, mmsapt_l1, mmsapt_l2))
sys.stderr.write('XML mode: {}\n'.format(xml_input))
sys.stderr.write(
'Inputs: {} {} {} ({})\n'.format(
text_src, text_tgt, text_symal, text_len))
sys.stderr.write('Jobs: {}\n'.format(threads))
sys.stderr.write('Batch size: {}\n'.format(batch_size))
if n_best_out:
sys.stderr.write(
'N-best list: {} ({}{})\n'.format(
n_best_out, n_best_size,
', distinct' if n_best_distinct else ''))
if hg_dir:
sys.stderr.write('Hypergraph dir: {} ({})\n'.format(hg_dir, hg_ext))
sys.stderr.write('Temp dir: {}\n'.format(work_dir))
# Accumulate seen lines
src_lines = []
tgt_lines = []
symal_lines = []
# Current XML source file
xml_out = None
# Split into batches. Each batch after 0 gets extra files with data from
# previous batches.
# Data from previous lines in the current batch is added using XML input.
job = -1
lc = -1
lines = itertools.izip(
gzopen(text_src), gzopen(text_tgt), gzopen(text_symal))
for (src, tgt, symal) in lines:
(src, tgt, symal) = (src.strip(), tgt.strip(), symal.strip())
lc += 1
if lc % batch_size == 0:
job += 1
xml_file = os.path.join(work_dir, 'input.{}.xml'.format(job))
extra_src_file = os.path.join(
work_dir, 'extra.{}.{}.txt.gz'.format(job, mmsapt_l1))
extra_tgt_file = os.path.join(
work_dir, 'extra.{}.{}.txt.gz'.format(job, mmsapt_l2))
extra_symal_file = os.path.join(
work_dir, 'extra.{}.{}-{}.symal.gz'.format(
job, mmsapt_l1, mmsapt_l2))
if job > 0:
xml_out.close()
write_gzfile(src_lines, extra_src_file)
write_gzfile(tgt_lines, extra_tgt_file)
write_gzfile(symal_lines, extra_symal_file)
xml_out = open(xml_file, 'w')
ini_file = os.path.join(work_dir, 'moses.{}.ini'.format(job))
with open(ini_file, 'w') as moses_ini_out:
if job == 0:
extra = ''
else:
extra = ' extra={}'.format(
os.path.join(work_dir, 'extra.{}.'.format(job)))
moses_ini_out.write(
'{}\n'.format(
'\n'.join(moses_ini_lines).format(mmsapt_extra=extra)))
src_lines.append(src)
tgt_lines.append(tgt)
symal_lines.append(symal)
# Lines after first start with update tag including previous
# translation.
# Translation of last line of each batch is included in extra for
# next batch.
xml_tags = []
if lc % batch_size != 0:
tag_template = (
'<update '
'name="{}" source="{}" target="{}" alignment="{}" /> ')
for n in mmsapt_dynamic:
# Note: space after tag.
xml_tags.append(
tag_template.format(
n, src_lines[-2], tgt_lines[-2], symal_lines[-2]))
xml_out.write('{}{}\n'.format(''.join(xml_tags), src))
xml_out.close()
# Run decoders in parallel
workers = []
prog = Progress()
for i in range(threads):
work_cmd = cmd[:]
work_cmd.append('-config')
work_cmd.append(os.path.join(work_dir, 'moses.{}.ini'.format(i)))
# Workers use 1 CPU each
work_cmd.append('-threads')
work_cmd.append('1')
if not xml_found:
work_cmd.append('-xml-input')
work_cmd.append(xml_input)
if n_best_out:
work_cmd.append('-n-best-list')
work_cmd.append(os.path.join(work_dir, 'nbest.{}'.format(i)))
work_cmd.append(str(n_best_size))
if n_best_distinct:
work_cmd.append('distinct')
if hg_dir:
work_cmd.append('-output-search-graph-hypergraph')
work_cmd.append('true')
work_cmd.append(hg_ext)
work_cmd.append(os.path.join(work_dir, 'hg.{}'.format(i)))
in_file = os.path.join(work_dir, 'input.{}.xml'.format(i))
out_file = os.path.join(work_dir, 'out.{}'.format(i))
err_file = os.path.join(work_dir, 'err.{}'.format(i))
t = threading.Thread(
target=atomic_io,
args=(work_cmd, in_file, out_file, err_file, prog))
workers.append(t)
t.start()
# Wait for all to finish
for t in workers:
t.join()
prog.done()
# Gather N-best lists
if n_best_out:
with open(n_best_out, 'w') as out:
for i in range(threads):
path = os.path.join(work_dir, 'nbest.{}'.format(i))
for line in open(path, 'r'):
entry = line.partition(' ')
out.write(
'{} {}'.format(
int(entry[0]) + (i * batch_size), entry[2]))
# Gather hypergraphs
if hg_dir:
if not os.path.exists(hg_dir):
os.mkdir(hg_dir)
shutil.copy(
os.path.join(work_dir, 'hg.0', 'weights'),
os.path.join(hg_dir, 'weights'))
for i in range(threads):
for j in range(batch_size):
shutil.copy(
os.path.join(
work_dir, 'hg.{}'.format(i),
'{}.{}'.format(j, hg_ext)),
os.path.join(
hg_dir, '{}.{}'.format((i * batch_size) + j, hg_ext)))
# Gather stdout
for i in range(threads):
for line in open(os.path.join(work_dir, 'out.{}'.format(i)), 'r'):
sys.stdout.write(line)
# Cleanup
shutil.rmtree(work_dir)
if __name__ == '__main__':
try:
main(sys.argv)
except ProgramFailure as error:
sys.stderr.write("%s\n" % error)
sys.exit(1)
|