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Merge branch 'dev0.5.0' of https://github.com/fastnlp/fastNLP into dev0.5.0

tags/v0.4.10
yh 5 years ago
parent
e6ce48a6d3 dd080b5825
commit
bbb67e41ef
17 changed files with 262 additions and 24 deletions
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  1. +2
    -2
      fastNLP/embeddings/bert_embedding.py
  2. +1
    -1
      fastNLP/io/file_reader.py
  3. +2
    -2
      fastNLP/io/file_utils.py
  4. +1
    -1
      fastNLP/io/pipe/classification.py
  5. +2
    -2
      fastNLP/io/pipe/matching.py
  6. +4
    -3
      fastNLP/io/pipe/utils.py
  7. +5
    -5
      fastNLP/models/bert.py
  8. +5
    -5
      fastNLP/modules/encoder/bert.py
  9. +10
    -0
      test/data_for_tests/io/OntoNotes/dev.txt
  10. +10
    -0
      test/data_for_tests/io/OntoNotes/test.txt
  11. +50
    -0
      test/data_for_tests/io/OntoNotes/train.txt
  12. +49
    -0
      test/data_for_tests/io/conll2003/dev.txt
  13. +51
    -0
      test/data_for_tests/io/conll2003/test.txt
  14. +48
    -0
      test/data_for_tests/io/conll2003/train.txt
  15. +7
    -1
      test/io/loader/test_conll_loader.py
  16. +13
    -1
      test/io/pipe/test_conll.py
  17. +2
    -1
      test/io/pipe/test_cws.py

+ 2
- 2
fastNLP/embeddings/bert_embedding.py View File

@@ -72,8 +72,8 @@ class BertEmbedding(ContextualEmbedding):

if model_dir_or_name.lower() in PRETRAINED_BERT_MODEL_DIR:
if 'cn' in model_dir_or_name.lower() and pool_method not in ('first', 'last'):
logger.warn("For Chinese bert, pooled_method should choose from 'first', 'last' in order to achieve"
" faster speed.")
logger.warning("For Chinese bert, pooled_method should choose from 'first', 'last' in order to achieve"
" faster speed.")
warnings.warn("For Chinese bert, pooled_method should choose from 'first', 'last' in order to achieve"
" faster speed.")


+ 1
- 1
fastNLP/io/file_reader.py View File

@@ -111,7 +111,7 @@ def _read_conll(path, encoding='utf-8', indexes=None, dropna=True):
yield line_idx, res
except Exception as e:
if dropna:
logger.warn('Invalid instance which ends at line: {} has been dropped.'.format(line_idx))
logger.warning('Invalid instance which ends at line: {} has been dropped.'.format(line_idx))
continue
raise ValueError('Invalid instance which ends at line: {}'.format(line_idx))
elif line.startswith('#'):


+ 2
- 2
fastNLP/io/file_utils.py View File

@@ -222,8 +222,8 @@ def _get_base_url(name):
return url + '/'
else:
URLS = {
'embedding': "http://dbcloud.irocn.cn:8989/api/public/dl/",
"dataset": "http://dbcloud.irocn.cn:8989/api/public/dl/dataset/"
'embedding': "http://fudan.irocn.cn:8989/api/public/dl/",
"dataset": "http://fudan.irocn.cn:8989/api/public/dl/dataset/"
}
if name.lower() not in URLS:
raise KeyError(f"{name} is not recognized.")


+ 1
- 1
fastNLP/io/pipe/classification.py View File

@@ -387,7 +387,7 @@ class SST2Pipe(_CLSPipe):
f" in {[name for name in data_bundle.datasets.keys() if 'train' not in name]} " \
f"data set but not in train data set!."
warnings.warn(warn_msg)
logger.warn(warn_msg)
logger.warning(warn_msg)
datasets = []
for name, dataset in data_bundle.datasets.items():
if dataset.has_field(Const.TARGET):


+ 2
- 2
fastNLP/io/pipe/matching.py View File

@@ -121,7 +121,7 @@ class MatchingBertPipe(Pipe):
f" in {[name for name in data_bundle.datasets.keys() if 'train' not in name]} " \
f"data set but not in train data set!."
warnings.warn(warn_msg)
logger.warn(warn_msg)
logger.warning(warn_msg)

has_target_datasets = [dataset for name, dataset in data_bundle.datasets.items() if
dataset.has_field(Const.TARGET)]
@@ -258,7 +258,7 @@ class MatchingPipe(Pipe):
f" in {[name for name in data_bundle.datasets.keys() if 'train' not in name]} " \
f"data set but not in train data set!."
warnings.warn(warn_msg)
logger.warn(warn_msg)
logger.warning(warn_msg)

has_target_datasets = [dataset for name, dataset in data_bundle.datasets.items() if
dataset.has_field(Const.TARGET)]


+ 4
- 3
fastNLP/io/pipe/utils.py View File

@@ -130,11 +130,12 @@ def _indexize(data_bundle, input_field_names=Const.INPUT, target_field_names=Con
if ('train' not in name) and (ds.has_field(target_field_name))]
)
if len(tgt_vocab._no_create_word) > 0:
warn_msg = f"There are {len(tgt_vocab._no_create_word)} target labels" \
warn_msg = f"There are {len(tgt_vocab._no_create_word)} `{target_field_name}` labels" \
f" in {[name for name in data_bundle.datasets.keys() if 'train' not in name]} " \
f"data set but not in train data set!."
f"data set but not in train data set!.\n" \
f"These label(s) are {tgt_vocab._no_create_word}"
warnings.warn(warn_msg)
logger.warn(warn_msg)
logger.warning(warn_msg)
tgt_vocab.index_dataset(*data_bundle.datasets.values(), field_name=target_field_name)
data_bundle.set_vocab(tgt_vocab, target_field_name)


+ 5
- 5
fastNLP/models/bert.py View File

@@ -65,7 +65,7 @@ class BertForSequenceClassification(BaseModel):
self.bert.model.include_cls_sep = True
warn_msg = "Bert for sequence classification excepts BertEmbedding `include_cls_sep` True, " \
"but got False. FastNLP has changed it to True."
logger.warn(warn_msg)
logger.warning(warn_msg)
warnings.warn(warn_msg)

def forward(self, words):
@@ -110,7 +110,7 @@ class BertForSentenceMatching(BaseModel):
self.bert.model.include_cls_sep = True
warn_msg = "Bert for sentence matching excepts BertEmbedding `include_cls_sep` True, " \
"but got False. FastNLP has changed it to True."
logger.warn(warn_msg)
logger.warning(warn_msg)
warnings.warn(warn_msg)

def forward(self, words):
@@ -156,7 +156,7 @@ class BertForMultipleChoice(BaseModel):
self.bert.model.include_cls_sep = True
warn_msg = "Bert for multiple choice excepts BertEmbedding `include_cls_sep` True, " \
"but got False. FastNLP has changed it to True."
logger.warn(warn_msg)
logger.warning(warn_msg)
warnings.warn(warn_msg)

def forward(self, words):
@@ -206,7 +206,7 @@ class BertForTokenClassification(BaseModel):
self.bert.model.include_cls_sep = False
warn_msg = "Bert for token classification excepts BertEmbedding `include_cls_sep` False, " \
"but got True. FastNLP has changed it to False."
logger.warn(warn_msg)
logger.warning(warn_msg)
warnings.warn(warn_msg)

def forward(self, words):
@@ -250,7 +250,7 @@ class BertForQuestionAnswering(BaseModel):
self.bert.model.include_cls_sep = True
warn_msg = "Bert for question answering excepts BertEmbedding `include_cls_sep` True, " \
"but got False. FastNLP has changed it to True."
logger.warn(warn_msg)
logger.warning(warn_msg)
warnings.warn(warn_msg)

def forward(self, words):


+ 5
- 5
fastNLP/modules/encoder/bert.py View File

@@ -488,10 +488,10 @@ class BertModel(nn.Module):

load(model, prefix='' if hasattr(model, 'bert') else 'bert.')
if len(missing_keys) > 0:
logger.warn("Weights of {} not initialized from pretrained model: {}".format(
logger.warning("Weights of {} not initialized from pretrained model: {}".format(
model.__class__.__name__, missing_keys))
if len(unexpected_keys) > 0:
logger.warn("Weights from pretrained model not used in {}: {}".format(
logger.warning("Weights from pretrained model not used in {}: {}".format(
model.__class__.__name__, unexpected_keys))

logger.info(f"Load pre-trained BERT parameters from file {weights_path}.")
@@ -800,7 +800,7 @@ class BertTokenizer(object):
for token in tokens:
ids.append(self.vocab[token])
if len(ids) > self.max_len:
logger.warn(
logger.warning(
"Token indices sequence length is longer than the specified maximum "
" sequence length for this BERT model ({} > {}). Running this"
" sequence through BERT will result in indexing errors".format(len(ids), self.max_len)
@@ -824,8 +824,8 @@ class BertTokenizer(object):
with open(vocab_file, "w", encoding="utf-8") as writer:
for token, token_index in sorted(self.vocab.items(), key=lambda kv: kv[1]):
if index != token_index:
logger.warn("Saving vocabulary to {}: vocabulary indices are not consecutive."
" Please check that the vocabulary is not corrupted!".format(vocab_file))
logger.warning("Saving vocabulary to {}: vocabulary indices are not consecutive."
" Please check that the vocabulary is not corrupted!".format(vocab_file))
index = token_index
writer.write(token + u'\n')
index += 1


+ 10
- 0
test/data_for_tests/io/OntoNotes/dev.txt View File

@@ -0,0 +1,10 @@

bc/msnbc/00/msnbc_0000 0 0 Hi UH (TOP(FRAG(INTJ*) - - - Dan_Abrams * -
bc/msnbc/00/msnbc_0000 0 1 everyone NN (NP*) - - - Dan_Abrams * -
bc/msnbc/00/msnbc_0000 0 2 /. . *)) - - - Dan_Abrams * -

bc/msnbc/00/msnbc_0000 0 0 first RB (TOP(S(ADVP* - - - Dan_Abrams * (ARGM-TMP* * * * -
bc/msnbc/00/msnbc_0000 0 1 up RB * - - - Dan_Abrams * * * * * -
bc/msnbc/00/msnbc_0000 0 2 on IN (PP* - - - Dan_Abrams * * * * * -
bc/msnbc/00/msnbc_0000 0 3 the DT (NP* - - - Dan_Abrams * * * * * -
bc/msnbc/00/msnbc_0000 0 4 docket NN *)) docket - - Dan_Abrams * * * * * -

+ 10
- 0
test/data_for_tests/io/OntoNotes/test.txt View File

@@ -0,0 +1,10 @@

bc/msnbc/00/msnbc_0007 0 0 Dealing VBG (TOP(VP* deal 01 - speaker_1 * (V*) -
bc/msnbc/00/msnbc_0007 0 1 with IN (PP* - - - speaker_1 * (ARG1* -
bc/msnbc/00/msnbc_0007 0 2 serial JJ (NP(NP* - - - speaker_1 * * (156
bc/msnbc/00/msnbc_0007 0 3 crimes NNS *) crime - 1 speaker_1 * * 156)
bc/msnbc/00/msnbc_0007 0 4 per FW (ADVP* - - - speaker_1 * * -
bc/msnbc/00/msnbc_0007 0 5 se FW *))) - - - speaker_1 * *) -
bc/msnbc/00/msnbc_0007 0 6 /. . *)) - - - speaker_1 * * -

bc/msnbc/00/msnbc_0007 0 0 We PRP (TOP(S(NP*) - - - speaker_1 * (ARG0*) * (90)

+ 50
- 0
test/data_for_tests/io/OntoNotes/train.txt View File

@@ -0,0 +1,50 @@

bc/msnbc/00/msnbc_0003 0 0 The DT (TOP(S(NP* - - - Chris_Matthews * * (ARG1* * * * * -
bc/msnbc/00/msnbc_0003 0 1 move NN *) move 02 2 Chris_Matthews * (V*) *) * * * * -
bc/msnbc/00/msnbc_0003 0 2 comes VBZ (VP* come 03 2 Chris_Matthews * * (V*) * * * * -
bc/msnbc/00/msnbc_0003 0 3 a DT (SBAR(NP* - - - Chris_Matthews (DATE* * (ARGM-TMP* * * * * -
bc/msnbc/00/msnbc_0003 0 4 month NN *) month - 2 Chris_Matthews *) * * * * * * -
bc/msnbc/00/msnbc_0003 0 5 before IN * - - - Chris_Matthews * * * * * * * -
bc/msnbc/00/msnbc_0003 0 6 the DT (S(NP* - - - Chris_Matthews * * * * (ARG1* (ARG0* * -
bc/msnbc/00/msnbc_0003 0 7 Senate NNP *) - - - Chris_Matthews (ORG) * * * *) *) * -
bc/msnbc/00/msnbc_0003 0 8 is VBZ (VP* be 03 - Chris_Matthews * * * (V*) * * * -
bc/msnbc/00/msnbc_0003 0 9 scheduled VBN (VP* schedule 01 - Chris_Matthews * * * * (V*) * * -
bc/msnbc/00/msnbc_0003 0 10 to TO (S(VP* - - - Chris_Matthews * * * * (ARG2* * * -
bc/msnbc/00/msnbc_0003 0 11 hold VB (VP* hold 04 8 Chris_Matthews * * * * * (V*) * -
bc/msnbc/00/msnbc_0003 0 12 confirmation NN (NP(NP* - - - Chris_Matthews * * * * * (ARG1* (ARG2*) -
bc/msnbc/00/msnbc_0003 0 13 hearings NNS *) hearing 01 1 Chris_Matthews * * * * * * (V*) -
bc/msnbc/00/msnbc_0003 0 14 on IN (PP* - - - Chris_Matthews * * * * * * (ARG1* -
bc/msnbc/00/msnbc_0003 0 15 President NNP (NP(NP(NP* - - - Chris_Matthews * * * * * * * (194
bc/msnbc/00/msnbc_0003 0 16 Bush NNP * - - - Chris_Matthews (PERSON) * * * * * * -
bc/msnbc/00/msnbc_0003 0 17 's POS *) - - - Chris_Matthews * * * * * * * 194)
bc/msnbc/00/msnbc_0003 0 18 Supreme NNP (NML* - - - Chris_Matthews (ORG* * * * * * * -
bc/msnbc/00/msnbc_0003 0 19 Court NNP *) - - - Chris_Matthews *) * * * * * * -
bc/msnbc/00/msnbc_0003 0 20 nominee NN *) - - - Chris_Matthews * * * * * * * -
bc/msnbc/00/msnbc_0003 0 21 John NNP (NP* - - - Chris_Matthews (PERSON* * * * * * * -
bc/msnbc/00/msnbc_0003 0 22 Roberts NNP *)))))))))))) - - - Chris_Matthews *) * *) * *) *) *) -
bc/msnbc/00/msnbc_0003 0 23 /. . *)) - - - Chris_Matthews * * * * * * * -

bc/msnbc/00/msnbc_0003 0 0 Senator NNP (TOP(S(NP(NP* - - - Chris_Matthews * (ARG1* * * (162
bc/msnbc/00/msnbc_0003 0 1 Chris NNP * - - - Chris_Matthews (PERSON* * * * -
bc/msnbc/00/msnbc_0003 0 2 Dodd NNP *) - - - Chris_Matthews *) * * * -
bc/msnbc/00/msnbc_0003 0 3 of IN (PP* - - - Chris_Matthews * * * * -
bc/msnbc/00/msnbc_0003 0 4 Connecticut NNP (NP*))) - - - Chris_Matthews (GPE) *) * * 162)
bc/msnbc/00/msnbc_0003 0 5 was VBD (VP* be 01 1 Chris_Matthews * (V*) * * -
bc/msnbc/00/msnbc_0003 0 6 among IN (PP* - - - Chris_Matthews * (ARG2* * * -
bc/msnbc/00/msnbc_0003 0 7 those DT (NP(NP* - - - Chris_Matthews * * (ARG0* * -
bc/msnbc/00/msnbc_0003 0 8 Democrats NNPS *) - - - Chris_Matthews (NORP) * *) * -
bc/msnbc/00/msnbc_0003 0 9 who WP (SBAR(WHNP*) - - - Chris_Matthews * * (R-ARG0*) * -
bc/msnbc/00/msnbc_0003 0 10 spoke VBD (S(VP* speak 03 5 Chris_Matthews * * (V*) * -
bc/msnbc/00/msnbc_0003 0 11 out RP (PRT*) - - - Chris_Matthews * * * * -
bc/msnbc/00/msnbc_0003 0 12 against IN (PP* - - - Chris_Matthews * * (ARG1* * -
bc/msnbc/00/msnbc_0003 0 13 Bolton NNP (NP(NP* - - - Chris_Matthews (PERSON) * * (ARG1* (31|(130
bc/msnbc/00/msnbc_0003 0 14 's POS *) - - - Chris_Matthews * * * *) 31)
bc/msnbc/00/msnbc_0003 0 15 appointment NN *)) appointment 01 1 Chris_Matthews * * *) (V*) 130)
bc/msnbc/00/msnbc_0003 0 16 today NN (NP*))))))) today - 2 Chris_Matthews (DATE) *) (ARGM-TMP*) * (121)
bc/msnbc/00/msnbc_0003 0 17 /. . *)) - - - Chris_Matthews * * * * -

bc/msnbc/00/msnbc_0003 0 0 I PRP (TOP(S(NP*) - - - Christopher_Dodd * * (ARG0*) * (162)
bc/msnbc/00/msnbc_0003 0 1 just RB (ADVP*) - - - Christopher_Dodd * * (ARGM-ADV*) * -
bc/msnbc/00/msnbc_0003 0 2 do VBP (VP* do 01 - Christopher_Dodd * (V*) * * -
bc/msnbc/00/msnbc_0003 0 3 n't RB * - - - Christopher_Dodd * * (ARGM-NEG*) * -
bc/msnbc/00/msnbc_0003 0 4 think VB (VP* think 01 1 Christopher_Dodd * * (V*) * -

+ 49
- 0
test/data_for_tests/io/conll2003/dev.txt View File

@@ -0,0 +1,49 @@
-DOCSTART- -X- -X- O

CRICKET NNP B-NP O
- : O O
LEICESTERSHIRE NNP B-NP B-ORG
TAKE NNP I-NP O
OVER IN B-PP O
AT NNP B-NP O
TOP NNP I-NP O
AFTER NNP I-NP O
INNINGS NNP I-NP O
VICTORY NN I-NP O
. . O O

LONDON NNP B-NP B-LOC
1996-08-30 CD I-NP O

Phil NNP B-NP B-PER
Simmons NNP I-NP I-PER
took VBD B-VP O
four CD B-NP O
for IN B-PP O
38 CD B-NP O
on IN B-PP O
Friday NNP B-NP O
as IN B-PP O
Leicestershire NNP B-NP B-ORG
beat VBD B-VP O
Somerset NNP B-NP B-ORG
by IN B-PP O
an DT B-NP O
innings NN I-NP O
and CC O O
39 CD B-NP O
runs NNS I-NP O
in IN B-PP O
two CD B-NP O
days NNS I-NP O
to TO B-VP O
take VB I-VP O
over IN B-PP O
at IN B-PP O
the DT B-NP O
head NN I-NP O
of IN B-PP O
the DT B-NP O
county NN I-NP O
championship NN I-NP O
. . O O

+ 51
- 0
test/data_for_tests/io/conll2003/test.txt View File

@@ -0,0 +1,51 @@
-DOCSTART- -X- -X- O

SOCCER NN B-NP O
- : O O
JAPAN NNP B-NP B-LOC
GET VB B-VP O
LUCKY NNP B-NP O
WIN NNP I-NP O
, , O O
THE NP B-NP B-PER
CHINA NNP I-NP I-PER
IN IN B-PP O
SURPRISE DT B-NP O
DEFEAT NN I-NP O
. . O O

Nadim NNP B-NP B-PER
Ladki NNP I-NP I-PER

AL-AIN NNP B-NP B-LOC
, , O O
United NNP B-NP B-LOC
Arab NNP I-NP I-LOC
Emirates NNPS I-NP I-LOC
1996-12-06 CD I-NP O

Japan NNP B-NP B-LOC
began VBD B-VP O
the DT B-NP O
defence NN I-NP O
of IN B-PP O
their PRP$ B-NP O
Asian JJ I-NP B-MISC
Cup NNP I-NP I-MISC
title NN I-NP O
with IN B-PP O
a DT B-NP O
lucky JJ I-NP O
2-1 CD I-NP O
win VBP B-VP O
against IN B-PP O
Syria NNP B-NP B-LOC
in IN B-PP O
a DT B-NP O
Group NNP I-NP O
C NNP I-NP O
championship NN I-NP O
match NN I-NP O
on IN B-PP O
Friday NNP B-NP O
. . O O

+ 48
- 0
test/data_for_tests/io/conll2003/train.txt View File

@@ -0,0 +1,48 @@
-DOCSTART- -X- -X- O

EU NNP B-NP B-ORG
rejects VBZ B-VP O
German JJ B-NP B-MISC
call NN I-NP O
to TO B-VP O
boycott VB I-VP O
British JJ B-NP B-MISC
lamb NN I-NP O
. . O O

Peter NNP B-NP B-PER
Blackburn NNP I-NP I-PER

BRUSSELS NNP B-NP B-LOC
1996-08-22 CD I-NP O

The DT B-NP O
European NNP I-NP B-ORG
Commission NNP I-NP I-ORG
said VBD B-VP O
on IN B-PP O
Thursday NNP B-NP O
it PRP B-NP O
disagreed VBD B-VP O
with IN B-PP O
German JJ B-NP B-MISC
advice NN I-NP O
to TO B-PP O
consumers NNS B-NP O
to TO B-VP O
shun VB I-VP O
British JJ B-NP B-MISC
lamb NN I-NP O
until IN B-SBAR O
scientists NNS B-NP O
determine VBP B-VP O
whether IN B-SBAR O
mad JJ B-NP O
cow NN I-NP O
disease NN I-NP O
can MD B-VP O
be VB I-VP O
transmitted VBN I-VP O
to TO B-PP O
sheep NN B-NP O
. . O O

+ 7
- 1
test/io/loader/test_conll_loader.py View File

@@ -26,6 +26,12 @@ class TestWeiboNER(unittest.TestCase):


class TestConll2003Loader(unittest.TestCase):
def test__load(self):
def test_load(self):
Conll2003Loader()._load('test/data_for_tests/conll_2003_example.txt')


class TestConllLoader(unittest.TestCase):
def test_conll(self):
db = Conll2003Loader().load('test/data_for_tests/io/conll2003')
print(db)


+ 13
- 1
test/io/pipe/test_conll.py View File

@@ -1,6 +1,7 @@
import unittest
import os
from fastNLP.io import MsraNERPipe, PeopleDailyPipe, WeiboNERPipe, Conll2003Pipe, Conll2003NERPipe
from fastNLP.io import MsraNERPipe, PeopleDailyPipe, WeiboNERPipe, Conll2003Pipe, Conll2003NERPipe, \
OntoNotesNERPipe


@unittest.skipIf('TRAVIS' in os.environ, "Skip in travis")
@@ -38,3 +39,14 @@ class TestNERPipe(unittest.TestCase):
print(data_bundle)
data_bundle = pipe(encoding_type='bioes').process_from_file(f'test/data_for_tests/io/{k}')
print(data_bundle)


class TestConll2003Pipe(unittest.TestCase):
def test_conll(self):
with self.assertWarns(Warning):
data_bundle = Conll2003Pipe().process_from_file('test/data_for_tests/io/conll2003')
print(data_bundle)

def test_OntoNotes(self):
data_bundle = OntoNotesNERPipe().process_from_file('test/data_for_tests/io/OntoNotes')
print(data_bundle)

+ 2
- 1
test/io/pipe/test_cws.py View File

@@ -19,5 +19,6 @@ class TestRunCWSPipe(unittest.TestCase):
dataset_names = ['msra', 'cityu', 'as', 'pku']
for dataset_name in dataset_names:
with self.subTest(dataset_name=dataset_name):
data_bundle = CWSPipe().process_from_file(f'test/data_for_tests/io/cws_{dataset_name}')
data_bundle = CWSPipe(bigrams=True, trigrams=True).\
process_from_file(f'test/data_for_tests/io/cws_{dataset_name}')
print(data_bundle)

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