DeBERTa-base / modeling /spm_tokenizer.py
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# Copyright (c) Microsoft, Inc. 2020
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
# Zhou Bo
# Date: 11/15/2020
#
import sentencepiece as sp
import six
import unicodedata
import os
import regex as re
from .cache_utils import load_vocab
import loguru
logger=loguru.logger
import pdb
__all__ = ['SPMTokenizer']
class SPMTokenizer:
def __init__(self, vocab_file, do_lower_case=False, special_tokens=None, bpe_dropout=0, split_by_punct=False):
self.split_by_punct = split_by_punct
spm = sp.SentencePieceProcessor()
assert os.path.exists(vocab_file)
spm.load(vocab_file)
bpe_vocab_size = spm.GetPieceSize()
# Token map
# <unk> 0+1
# <s> 1+1
# </s> 2+1
self.vocab = {spm.IdToPiece(i):i for i in range(bpe_vocab_size)}
self.id_to_tokens = [spm.IdToPiece(i) for i in range(bpe_vocab_size)]
#self.vocab['[PAD]'] = 0
#self.vocab['[CLS]'] = 1
#self.vocab['[SEP]'] = 2
#self.vocab['[UNK]'] = 3
_special_tokens = ['[MASK]', '[SEP]', '[PAD]', '[UNK]', '[CLS]']
self.special_tokens = []
if special_tokens is not None:
_special_tokens.extend(special_tokens)
for t in _special_tokens:
self.add_special_token(t)
self.spm = spm
self.pat = re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""")
def tokenize(self, text):
pieces = self._encode_as_pieces(text)
def _norm(x):
if x not in self.vocab or x=='<unk>':
return '[UNK]'
else:
return x
pieces = [_norm(p) for p in pieces]
return pieces
def convert_tokens_to_ids(self, tokens):
return [self.vocab[t] if t in self.vocab else 1 for t in tokens]
def convert_ids_to_tokens(self, ids):
tokens = []
for i in ids:
tokens.append(self.ids_to_tokens[i])
return tokens
def decode(self, tokens, start=-1, end=-1, raw_text=None):
if raw_text is None:
return self.spm.decode_pieces([t for t in tokens if t not in self.special_tokens])
else:
words = self.split_to_words(raw_text)
word_tokens = [self.tokenize(w) for w in words]
wt = [w for t in word_tokens for w in t]
#assert tokens == wt, f'{tokens} || {wt}'
if wt!=tokens:
for a,b in zip(wt, tokens):
if a!=b:
pdb.set_trace()
token2words = [0]*len(tokens)
tid = 0
for i,w in enumerate(word_tokens):
for k,t in enumerate(w):
token2words[tid] = i
tid += 1
word_start = token2words[start]
word_end = token2words[end] if end <len(tokens) else len(words)
text = ''.join(words[word_start:word_end])
return text
def add_special_token(self, token):
if token not in self.special_tokens:
self.special_tokens.append(token)
if token not in self.vocab:
self.vocab[token] = len(self.vocab)
self.id_to_tokens.append(token)
return self.id(token)
def part_of_whole_word(self, token, is_bos=False):
if is_bos:
return True
if (len(token)==1 and (_is_whitespace(list(token)[0]) or _is_control(list(token)[0]) or _is_punctuation(list(token)[0]))) or token in self.special_tokens:
return False
word_start = b'\xe2\x96\x81'.decode('utf-8')
return not token.startswith(word_start)
def pad(self):
return '[PAD]'
def bos(self):
return '[CLS]'
def eos(self):
return '[SEP]'
def unk(self):
return '[UNK]'
def mask(self):
return '[MASK]'
def sym(self, id):
return self.ids_to_tokens[id]
def id(self, sym):
return self.vocab[sym] if sym in self.vocab else 1
def _encode_as_pieces(self, text):
text = convert_to_unicode(text)
if self.split_by_punct:
words = self._run_split_on_punc(text)
pieces = [self.spm.encode_as_pieces(w) for w in words]
return [p for w in pieces for p in w]
else:
return self.spm.encode_as_pieces(text)
def split_to_words(self, text):
pieces = self._encode_as_pieces(text)
word_start = b'\xe2\x96\x81'.decode('utf-8')
words = []
offset = 0
prev_end = 0
for i,p in enumerate(pieces):
if p.startswith(word_start):
if offset>prev_end:
words.append(text[prev_end:offset])
prev_end = offset
w = p.replace(word_start, '')
else:
w = p
try:
s = text.index(w, offset)
pn = ""
k = i+1
while k < len(pieces):
pn = pieces[k].replace(word_start, '')
if len(pn)>0:
break
k += 1
if len(pn)>0 and pn in text[offset:s]:
offset = offset + 1
else:
offset = s + len(w)
except:
offset = offset + 1
if prev_end< offset:
words.append(text[prev_end:offset])
return words
def _run_strip_accents(self, text):
"""Strips accents from a piece of text."""
text = unicodedata.normalize("NFD", text)
output = []
for char in text:
cat = unicodedata.category(char)
if cat == "Mn":
continue
output.append(char)
return "".join(output)
def _run_split_on_punc(self, text):
"""Splits punctuation on a piece of text."""
#words = list(re.findall(self.pat, text))
chars = list(text)
i = 0
start_new_word = True
output = []
while i < len(chars):
char = chars[i]
if _is_punctuation(char):
output.append([char])
start_new_word = True
else:
if start_new_word:
output.append([])
start_new_word = False
output[-1].append(char)
i += 1
return ["".join(x) for x in output]
def _tokenize_chinese_chars(self, text):
"""Adds whitespace around any CJK character."""
output = []
for char in text:
cp = ord(char)
if self._is_chinese_char(cp):
output.append(" ")
output.append(char)
output.append(" ")
else:
output.append(char)
return "".join(output)
def _is_chinese_char(self, cp):
"""Checks whether CP is the codepoint of a CJK character."""
# This defines a "chinese character" as anything in the CJK Unicode block:
# https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
#
# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
# despite its name. The modern Korean Hangul alphabet is a different block,
# as is Japanese Hiragana and Katakana. Those alphabets are used to write
# space-separated words, so they are not treated specially and handled
# like the all of the other languages.
if ((cp >= 0x4E00 and cp <= 0x9FFF) or #
(cp >= 0x3400 and cp <= 0x4DBF) or #
(cp >= 0x20000 and cp <= 0x2A6DF) or #
(cp >= 0x2A700 and cp <= 0x2B73F) or #
(cp >= 0x2B740 and cp <= 0x2B81F) or #
(cp >= 0x2B820 and cp <= 0x2CEAF) or
(cp >= 0xF900 and cp <= 0xFAFF) or #
(cp >= 0x2F800 and cp <= 0x2FA1F)): #
return True
return False
def _clean_text(self, text):
"""Performs invalid character removal and whitespace cleanup on text."""
output = []
for char in text:
cp = ord(char)
if cp == 0 or cp == 0xfffd or _is_control(char):
continue
if _is_whitespace(char):
output.append(" ")
else:
output.append(char)
return "".join(output)
def _is_whitespace(char):
"""Checks whether `chars` is a whitespace character."""
# \t, \n, and \r are technically contorl characters but we treat them
# as whitespace since they are generally considered as such.
if char == " " or char == "\t" or char == "\n" or char == "\r":
return True
cat = unicodedata.category(char)
if cat == "Zs":
return True
return False
def _is_control(char):
"""Checks whether `chars` is a control character."""
# These are technically control characters but we count them as whitespace
# characters.
if char == "\t" or char == "\n" or char == "\r":
return False
cat = unicodedata.category(char)
if cat.startswith("C"):
return True
return False
def _is_punctuation(char):
"""Checks whether `chars` is a punctuation character."""
cp = ord(char)
# We treat all non-letter/number ASCII as punctuation.
# Characters such as "^", "$", and "`" are not in the Unicode
# Punctuation class but we treat them as punctuation anyways, for
# consistency.
if ((cp >= 33 and cp <= 47) or (cp >= 58 and cp <= 64) or
(cp >= 91 and cp <= 96) or (cp >= 123 and cp <= 126)):
return True
cat = unicodedata.category(char)
if cat.startswith("P"):
return True
return False
def whitespace_tokenize(text):
"""Runs basic whitespace cleaning and splitting on a peice of text."""
text = text.strip()
if not text:
return []
tokens = text.split()
return tokens
def convert_to_unicode(text):
"""Converts `text` to Unicode (if it's not already), assuming utf-8 input."""
if six.PY3:
if isinstance(text, str):
return text
elif isinstance(text, bytes):
return text.decode("utf-8", "ignore")
else:
raise ValueError("Unsupported string type: %s" % (type(text)))
elif six.PY2:
if isinstance(text, str):
return text.decode("utf-8", "ignore")
elif isinstance(text, unicode):
return text
else:
raise ValueError("Unsupported string type: %s" % (type(text)))
else:
raise ValueError("Not running on Python2 or Python 3?")