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hub / github.com/OpenSparseLLMs/Linear-MoE / Encoder

Class Encoder

toolkits/pretrain_data_preprocessing/preprocess_data.py:33–70  ·  view source on GitHub ↗

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31 os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
32
33class Encoder(object):
34 def __init__(self, args):
35 self.args = args
36
37 def initializer(self):
38 # Use Encoder class as a container for global data
39 Encoder.tokenizer = build_tokenizer(self.args)
40
41 def encode(self, text):
42 if self.args.ftfy:
43 text = ftfy.fix_text(text)
44 ids = {}
45 for key in self.args.jsonl_keys:
46 doc_ids = []
47 try:
48 text_ids = Encoder.tokenizer(text, add_special_tokens=False)['input_ids']
49 """
50 text_ids = Encoder.tokenizer(text, add_special_tokens=False, padding='max_length',
51 max_length=2047, truncation=True)['input_ids']
52 """
53 if max(text_ids) >= Encoder.tokenizer.vocab_size:
54 print(text)
55 print(max(text_ids))
56 continue
57 except:
58 continue
59 if len(text_ids) > 0:
60 doc_ids.append(text_ids)
61 if self.args.append_eod:
62 if hasattr(Encoder.tokenizer, 'eos_token_id'):
63 doc_ids[-1].append(Encoder.tokenizer.eos_token_id)
64 elif hasattr(Encoder.tokenizer, 'eod_id'):
65 doc_ids[-1].append(Encoder.tokenizer.eod_id)
66 else:
67 doc_ids[-1].append(Encoder.tokenizer.eod)
68 #doc_ids[-1].append(Encoder.tokenizer.pad_token_id)
69 ids[key] = doc_ids
70 return ids, len(text)
71
72def get_args():
73 parser = argparse.ArgumentParser()

Callers 1

mainFunction · 0.70

Calls

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