Sync from upstream llama.cpp repository
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46
tests/test-tokenizer-0.py
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46
tests/test-tokenizer-0.py
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import time
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import argparse
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from transformers import AutoTokenizer
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parser = argparse.ArgumentParser()
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parser.add_argument("dir_tokenizer", help="directory containing 'tokenizer.model' file")
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parser.add_argument("--fname-tok", help="path to a text file to tokenize", required=True)
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args = parser.parse_args()
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dir_tokenizer = args.dir_tokenizer
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fname_tok = args.fname_tok
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tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)
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print('tokenizing file: ', fname_tok) # noqa: NP100
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fname_out = fname_tok + '.tok'
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with open(fname_tok, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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s = ''.join(lines)
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t_start = time.time()
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res = tokenizer.encode(s, add_special_tokens=False)
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t_end = time.time()
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print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)') # noqa: NP100
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with open(fname_out, 'w', encoding='utf-8') as f:
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for x in res:
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# LLaMA v3 for some reason strips the space for these tokens (and others)
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# if x == 662:
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# f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')
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# elif x == 1174:
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# f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')
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# elif x == 2564:
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# f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')
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# elif x == 758:
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# f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')
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# elif x == 949:
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# f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')
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# elif x == 5354:
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# f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')
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# else:
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# f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n')
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# f.write(str(x) + ' \'' + tokenizer.decode(x).strip() + '\'\n')
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f.write(str(x) + '\n')
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print('len(res): ', len(res)) # noqa: NP100
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print('len(lines): ', len(lines)) # noqa: NP100
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print('results written to: ', fname_out) # noqa: NP100
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