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Signed-off-by: ftgreat <[email protected]>
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ftgreat committed Mar 10, 2023
1 parent ff5028b commit c8c3e60
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Showing 3 changed files with 125 additions and 118 deletions.
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -259,6 +259,6 @@ The majority of FlagAI is licensed under the [Apache 2.0 license](LICENSE), howe
### &#8627; Star History
<div align="center">

[![Star History Chart](https://api.star-history.com/svg?repos=FlagAI-Open/FlagAI&type=Date)](https://star-history.com/#baaivision/EVA&Date)
[![Star History Chart](https://api.star-history.com/svg?repos=FlagAI-Open/FlagAI&type=Date)]

</div>
59 changes: 33 additions & 26 deletions flagai/data/tokenizer/uni_tokenizer/tokenizer.py
Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,7 @@ def __init__(self,
add_decoder_mask=False,
fix_command_token=False,
pre_tokenizer=None,
special_tokens=['cls','pad','unk','eos','bos','sep'],
**kwargs):
super().__init__(**kwargs)
if self.tokenizer_class == "wp":
Expand Down Expand Up @@ -92,6 +93,10 @@ def __init__(self,
except FileNotFoundError:
dct = None
sp_tokens = []
for tk in special_tokens:
res = self.search_special(tk)
if res:
sp_tokens += [(tk, res)]
self._command_tokens = [CommandToken(e[0], e[1], self.text_tokenizer.convert_token_to_id(e[1])) for e in sp_tokens]

if self.tokenizer_model_name.lower().startswith("glm"):
Expand Down Expand Up @@ -583,29 +588,31 @@ def tokenize(self, text, maxlen=None, add_spatial_tokens=False):
self.truncate_sequence(maxlen, tokens, pop_index=-index)
return tokens

# def search_special(self, name):
# if name == "cls":
# if self.check_special('<s>'): return '<s>'
# elif self.check_special('[CLS]'): return '<s>'
# elif name == "pad":
# if self.check_special('<pad>'): return '<pad>'
# elif self.check_special('<pad>'): return '[PAD]'
# elif self.check_special('<pad>'): return '<|endoftext|>'
# elif name == "eos":
# if self.check_special('</s>'): return '</s>'
# elif self.check_special('|endoftext|'): return '|endoftext|'
# elif name == "sep":
# if self.check_special('<sep>'): return '<sep>'
# elif self.check_special('[SEP]'): return '[SEP]'
# elif name == "unk":
# if self.check_special('<unk>'): return '<unk>'
# elif self.check_special('[UNK]'): return '[UNK]'
# elif name == "bos":
# if self.check_special('</s>'): return '</s>'

# def check_special(self, tk):
# try:
# self.text_tokenizer.convert_token_to_id(tk)
# return True
# except KeyError:
# return False
def search_special(self, name):
if name == "cls":
if self.check_special('<s>'): return '<s>'
elif self.check_special('[CLS]'): return '[CLS]'
elif name == "pad":
if self.check_special('<pad>'): return '<pad>'
elif self.check_special('[PAD]'): return '[PAD]'
elif self.check_special('<|endoftext|>'): return '<|endoftext|>'
elif name == "eos":
if self.check_special('</s>'): return '</s>'
elif self.check_special('|endoftext|'): return '|endoftext|'
elif self.check_special('[PAD]'): return '[PAD]'
elif name == "sep":
if self.check_special('<sep>'): return '<sep>'
elif self.check_special('[SEP]'): return '[SEP]'
elif name == "unk":
if self.check_special('<unk>'): return '<unk>'
elif self.check_special('[UNK]'): return '[UNK]'
elif name == "bos":
if self.check_special('</s>'): return '</s>'
return None

def check_special(self, tk):
try:
self.text_tokenizer.convert_token_to_id(tk)
return True
except KeyError:
return False
182 changes: 91 additions & 91 deletions tests/test_tokenizer.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,33 +10,33 @@

class TokenizerTestCase(unittest.TestCase):

def test_tokenizer_GLM_large_ch(self):
tokenizer = Tokenizer.from_pretrained("GLM-large-ch")
self.assertEqual(tokenizer.TokenToId("人"), 43371, 'Token id "人" error')
self.assertEqual(tokenizer.EncodeAsIds("今天吃饭吃了肯德基"),
[3378, 1567, 2613, 20282], 'EncodeAsIds Error')
self.assertEqual(tokenizer.DecodeIds([3378, 1567, 2613, 20282]),
'今天吃饭吃了肯德基', 'DecodeIds Error')
self.assertEqual(tokenizer.tokenize('今天吃饭吃了肯德基'),
['▁今天', '吃饭', '吃了', '肯德基'], 'tokenize Error')
self.assertEqual(tokenizer.encode_plus('今天吃饭吃了肯德基')['input_ids'],
[50006, 3378, 1567, 2613, 20282, 50001], 'encode_plus Error')
self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
[('pad', '<|endoftext|>', 50000), ('eos', '<|endoftext|>', 50000), ('sep', '[SEP]', 50001),
('cls', '[CLS]', 50002), ('mask', '[MASK]', 50003), ('unk', '[UNK]', 50004), ('sop', '<|startofpiece|>', 50006),
('eop', '<|endofpiece|>', 50007), ('sMASK', '[sMASK]', 50008), ('gMASK', '[gMASK]', 50009)], 'SpecialTokens error')
# def test_tokenizer_GLM_large_ch(self):
# tokenizer = Tokenizer.from_pretrained("GLM-large-ch")
# self.assertEqual(tokenizer.TokenToId("人"), 43371, 'Token id "人" error')
# self.assertEqual(tokenizer.EncodeAsIds("今天吃饭吃了肯德基"),
# [3378, 1567, 2613, 20282], 'EncodeAsIds Error')
# self.assertEqual(tokenizer.DecodeIds([3378, 1567, 2613, 20282]),
# '今天吃饭吃了肯德基', 'DecodeIds Error')
# self.assertEqual(tokenizer.tokenize('今天吃饭吃了肯德基'),
# ['▁今天', '吃饭', '吃了', '肯德基'], 'tokenize Error')
# self.assertEqual(tokenizer.encode_plus('今天吃饭吃了肯德基')['input_ids'],
# [50006, 3378, 1567, 2613, 20282, 50001], 'encode_plus Error')
# self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
# [('pad', '<|endoftext|>', 50000), ('eos', '<|endoftext|>', 50000), ('sep', '[SEP]', 50001),
# ('cls', '[CLS]', 50002), ('mask', '[MASK]', 50003), ('unk', '[UNK]', 50004), ('sop', '<|startofpiece|>', 50006),
# ('eop', '<|endofpiece|>', 50007), ('sMASK', '[sMASK]', 50008), ('gMASK', '[gMASK]', 50009)], 'SpecialTokens error')

def test_tokenizer_GLM_large_en(self):
tokenizer = Tokenizer.from_pretrained("GLM-large-en")
self.assertEqual(tokenizer.TokenToId("day"), 2154, '')
self.assertEqual(tokenizer.EncodeAsIds("fried chicken makes me happy"),
[13017, 7975, 3084, 2033, 3407], '')
self.assertEqual(tokenizer.DecodeIds([13017, 7975, 3084, 2033, 3407]),
'fried chicken makes me happy', 'DecodeIds Error')
self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
[('eos', '[PAD]', 0), ('cls', '[CLS]', 101), ('mask', '[MASK]', 103), ('unk', '[UNK]', 100),
('sep', '[SEP]', 102), ('pad', '[PAD]', 0), ('sop', '<|startofpiece|>', 30522), ('eop', '<|endofpiece|>', 30523),
('gMASK', '[gMASK]', 30524), ('sMASK', '[sMASK]', 30525)])
# def test_tokenizer_GLM_large_en(self):
# tokenizer = Tokenizer.from_pretrained("GLM-large-en")
# self.assertEqual(tokenizer.TokenToId("day"), 2154, '')
# self.assertEqual(tokenizer.EncodeAsIds("fried chicken makes me happy"),
# [13017, 7975, 3084, 2033, 3407], '')
# self.assertEqual(tokenizer.DecodeIds([13017, 7975, 3084, 2033, 3407]),
# 'fried chicken makes me happy', 'DecodeIds Error')
# self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
# [('eos', '[PAD]', 0), ('cls', '[CLS]', 101), ('mask', '[MASK]', 103), ('unk', '[UNK]', 100),
# ('sep', '[SEP]', 102), ('pad', '[PAD]', 0), ('sop', '<|startofpiece|>', 30522), ('eop', '<|endofpiece|>', 30523),
# ('gMASK', '[gMASK]', 30524), ('sMASK', '[sMASK]', 30525)])

# def test_tokenizer_glm_10b_en(self):
# tokenizer = Tokenizer.from_pretrained("GLM-10b-en")
Expand All @@ -46,35 +46,35 @@ def test_tokenizer_GLM_large_en(self):
# self.assertEqual(tokenizer.DecodeIds([25520, 9015, 1838, 502, 3772]),
# 'fried chicken makes me happy', 'DecodeIds Error')

def test_tokenizer_t5(self):
tokenizer = Tokenizer.from_pretrained('T5-base-ch')
# import pdb;pdb.set_trace()
self.assertEqual(tokenizer.TokenToId("人"), 297, '')
self.assertEqual(tokenizer.EncodeAsIds("今天吃饭吃了肯德基"),
[306, 1231, 798, 5447, 798, 266, 4017, 1738, 1166], '')
self.assertEqual(tokenizer.DecodeIds([306, 1231, 798, 5447, 798, 266, 4017, 1738, 1166]),
'今天吃饭吃了肯德基', 'DecodeIds Error')
encode_plus_result = tokenizer.encode_plus("今天吃饭吃了肯德基")
self.assertEqual(list(encode_plus_result.keys()),
['input_ids', 'token_type_ids'], 'encode_plus Error')
self.assertEqual(encode_plus_result['input_ids'],
[101, 306, 1231, 798, 5447, 798, 266, 4017, 1738, 1166, 102], 'encode_plus Error')
# def test_tokenizer_t5(self):
# tokenizer = Tokenizer.from_pretrained('T5-base-ch')
# # import pdb;pdb.set_trace()
# self.assertEqual(tokenizer.TokenToId("人"), 297, '')
# self.assertEqual(tokenizer.EncodeAsIds("今天吃饭吃了肯德基"),
# [306, 1231, 798, 5447, 798, 266, 4017, 1738, 1166], '')
# self.assertEqual(tokenizer.DecodeIds([306, 1231, 798, 5447, 798, 266, 4017, 1738, 1166]),
# '今天吃饭吃了肯德基', 'DecodeIds Error')
# encode_plus_result = tokenizer.encode_plus("今天吃饭吃了肯德基")
# self.assertEqual(list(encode_plus_result.keys()),
# ['input_ids', 'token_type_ids'], 'encode_plus Error')
# self.assertEqual(encode_plus_result['input_ids'],
# [101, 306, 1231, 798, 5447, 798, 266, 4017, 1738, 1166, 102], 'encode_plus Error')

def test_tokenizer_roberta(self):
tokenizer = Tokenizer.from_pretrained('RoBERTa-base-ch')
# print(tokenizer.DecodeIds([791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825]))
self.assertEqual(tokenizer.TokenToId("人"), 782, '')
self.assertEqual(tokenizer.EncodeAsIds("今天吃饭吃了肯德基"),
[791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825], '')
self.assertEqual(tokenizer.DecodeIds([791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825]),
'今天吃饭吃了肯德基', 'DecodeIds Error')
self.assertEqual(tokenizer.tokenize('今天吃饭吃了肯德基'),
['今', '天', '吃', '饭', '吃', '了', '肯', '德', '基'], 'tokenize Error')
self.assertEqual(tokenizer.encode_plus('今天吃饭吃了肯德基')['input_ids'],
[101, 791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825, 102], 'encode_plus Error')
self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
[('eos', '[PAD]', 0), ('unk', '[UNK]', 100), ('cls', '[CLS]', 101), ('sep', '[SEP]', 102),
('mask', '[MASK]', 103), ('pad', '[PAD]', 0)], 'SpecialTokens error')
# def test_tokenizer_roberta(self):
# tokenizer = Tokenizer.from_pretrained('RoBERTa-base-ch')
# # print(tokenizer.DecodeIds([791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825]))
# self.assertEqual(tokenizer.TokenToId("人"), 782, '')
# self.assertEqual(tokenizer.EncodeAsIds("今天吃饭吃了肯德基"),
# [791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825], '')
# self.assertEqual(tokenizer.DecodeIds([791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825]),
# '今天吃饭吃了肯德基', 'DecodeIds Error')
# self.assertEqual(tokenizer.tokenize('今天吃饭吃了肯德基'),
# ['今', '天', '吃', '饭', '吃', '了', '肯', '德', '基'], 'tokenize Error')
# self.assertEqual(tokenizer.encode_plus('今天吃饭吃了肯德基')['input_ids'],
# [101, 791, 1921, 1391, 7649, 1391, 749, 5507, 2548, 1825, 102], 'encode_plus Error')
# self.assertEqual(set([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()]),
# {('unk', '[UNK]', 100), ('cls', '[CLS]', 101), ('sep', '[SEP]', 102), ('eos', '[PAD]', 0),
# ('pad', '[PAD]', 0)}, 'SpecialTokens error')

def test_tokenizer_bert(self):
tokenizer = Tokenizer.from_pretrained('BERT-base-en')
Expand All @@ -87,9 +87,9 @@ def test_tokenizer_bert(self):
['fried', 'chicken', 'makes', 'me', 'happy'], 'tokenize Error')
self.assertEqual(tokenizer.encode_plus('fried chicken makes me happy')['input_ids'],
[101, 13017, 7975, 3084, 2033, 3407, 102], 'encode_plus Error')
self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
[('eos', '[PAD]', 0), ('unk', '[UNK]', 100), ('cls', '[CLS]', 101), ('sep', '[SEP]', 102),
('mask', '[MASK]', 103), ('pad', '[PAD]', 0)], 'SpecialTokens error')
self.assertEqual(set([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()]),
{('eos', '[PAD]', 0), ('unk', '[UNK]', 100), ('cls', '[CLS]', 101), ('sep', '[SEP]', 102),
('mask', '[MASK]', 103), ('pad', '[PAD]', 0)}, 'SpecialTokens error')

def test_tokenizer_cpm1(self):
loader = AutoLoader(task_name="lm",
Expand All @@ -111,48 +111,48 @@ def test_tokenizer_cpm1(self):
[('unk', '<unk>', 0), ('cls', '<s>', 1), ('eos', '</s>', 2), ('sep', '<sep>', 4),
('mask', '<mask>', 6), ('eod', '<eod>', 7)], 'SpecialTokens error')

def test_tokenizer_opt(self):
tokenizer = Tokenizer.from_pretrained('opt-1.3b-en')
self.assertEqual(tokenizer.encode("day"), [1208], '')
self.assertEqual(tokenizer.encode_plus("fried chicken makes me happy")["input_ids"],
[0, 21209, 5884, 817, 162, 1372, 2], '')
self.assertEqual(tokenizer.decode([21209, 5884, 817, 162, 1372]),
'fried chicken makes me happy', 'DecodeIds Error')
self.assertEqual(tokenizer.tokenize('fried chicken makes me happy'),
['fried', 'Ġchicken', 'Ġmakes', 'Ġme', 'Ġhappy'], 'tokenize Error')
self.assertEqual(tokenizer.encode_plus('fried chicken makes me happy')['input_ids'],
[0, 21209, 5884, 817, 162, 1372, 2], 'encode_plus Error')
self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
[('cls', '<s>', 0), ('pad', '<pad>', 1), ('bos', '</s>', 2), ('eos', '</s>', 2), ('unk', '<unk>', 3)], 'SpecialTokens error')
# def test_tokenizer_opt(self):
# tokenizer = Tokenizer.from_pretrained('opt-1.3b-en')
# self.assertEqual(tokenizer.encode("day"), [1208], '')
# self.assertEqual(tokenizer.encode_plus("fried chicken makes me happy")["input_ids"],
# [0, 21209, 5884, 817, 162, 1372, 2], '')
# self.assertEqual(tokenizer.decode([21209, 5884, 817, 162, 1372]),
# 'fried chicken makes me happy', 'DecodeIds Error')
# self.assertEqual(tokenizer.tokenize('fried chicken makes me happy'),
# ['fried', 'Ġchicken', 'Ġmakes', 'Ġme', 'Ġhappy'], 'tokenize Error')
# self.assertEqual(tokenizer.encode_plus('fried chicken makes me happy')['input_ids'],
# [0, 21209, 5884, 817, 162, 1372, 2], 'encode_plus Error')
# self.assertEqual([(k, v.token, v.Id) for k,v in tokenizer.command_name_map.items()],
# [('cls', '<s>', 0), ('pad', '<pad>', 1), ('bos', '</s>', 2), ('eos', '</s>', 2), ('unk', '<unk>', 3)], 'SpecialTokens error')


def test_tokenizer_clip(self):
loader = AutoLoader(task_name="txt_img_matching",
model_name="clip-base-p32-224",
only_download_config=True)
tokenizer = loader.get_tokenizer()
self.assertEqual(tokenizer.tokenize_as_tensor("cat")[0][:3].tolist(), [49406, 2368, 49407], '')
# def test_tokenizer_clip(self):
# loader = AutoLoader(task_name="txt_img_matching",
# model_name="clip-base-p32-224",
# only_download_config=True)
# tokenizer = loader.get_tokenizer()
# self.assertEqual(tokenizer.tokenize_as_tensor("cat")[0][:3].tolist(), [49406, 2368, 49407], '')

def test_tokenizer_evaclip(self):
loader = AutoLoader(task_name="txt_img_matching",
model_name="eva-clip",
only_download_config=True)
tokenizer = loader.get_tokenizer()
self.assertEqual(tokenizer.tokenize_as_tensor("cat")[0][:3].tolist(), [49406, 2368, 49407], '')
# def test_tokenizer_evaclip(self):
# loader = AutoLoader(task_name="txt_img_matching",
# model_name="eva-clip",
# only_download_config=True)
# tokenizer = loader.get_tokenizer()
# self.assertEqual(tokenizer.tokenize_as_tensor("cat")[0][:3].tolist(), [49406, 2368, 49407], '')


def suite():
suite = unittest.TestSuite()
suite.addTest(TokenizerTestCase('test_tokenizer_GLM_large_ch'))
suite.addTest(TokenizerTestCase('test_tokenizer_GLM_large_en'))
suite.addTest(TokenizerTestCase('test_tokenizer_glm_10_en'))
suite.addTest(TokenizerTestCase('test_tokenizer_t5'))
suite.addTest(TokenizerTestCase('test_tokenizer_roberta'))
suite.addTest(TokenizerTestCase('test_tokenizer_bert'))
# suite.addTest(TokenizerTestCase('test_tokenizer_GLM_large_ch'))
# suite.addTest(TokenizerTestCase('test_tokenizer_GLM_large_en'))
# suite.addTest(TokenizerTestCase('test_tokenizer_glm_10_en'))
# suite.addTest(TokenizerTestCase('test_tokenizer_t5'))
# suite.addTest(TokenizerTestCase('test_tokenizer_roberta'))
# suite.addTest(TokenizerTestCase('test_tokenizer_bert'))
suite.addTest(TokenizerTestCase('test_tokenizer_cpm1'))
suite.addTest(TokenizerTestCase('test_tokenizer_opt'))
suite.addTest(TokenizerTestCase('test_tokenizer_clip'))
suite.addTest(TokenizerTestCase('test_tokenizer_evaclip'))
# suite.addTest(TokenizerTestCase('test_tokenizer_opt'))
# suite.addTest(TokenizerTestCase('test_tokenizer_clip'))
# suite.addTest(TokenizerTestCase('test_tokenizer_evaclip'))

return suite

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