tests : add test-tokenizer-0.sh
This commit is contained in:
Georgi Gerganov
parent
c4ec9c0d3d
commit
ce7d3a0442
5 changed files with 110 additions and 240 deletions
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@ -1,117 +0,0 @@
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# tests with BPE tokenizer
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#
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# sample usage:
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#
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# python3 tests/test-tokenizer-0-bpe.py ~/Data/huggingface/Meta-Llama-3-8B-Instruct/
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# python3 tests/test-tokenizer-0-bpe.py ~/Data/huggingface/falcon-7b/
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# python3 tests/test-tokenizer-0-bpe.py ~/Data/huggingface/deepseek-coder-6.7b-instruct/
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#
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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")
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args = parser.parse_args()
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dir_tokenizer = args.dir_tokenizer
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tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)
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tests = [
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"",
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" ",
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" ",
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" ",
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"\t",
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"\n",
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"\n\n",
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"\n\n\n",
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"\t\n",
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"Hello world",
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" Hello world",
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"Hello World",
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" Hello World",
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" Hello World!",
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"Hello, world!",
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" Hello, world!",
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" this is 🦙.cpp",
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"w048 7tuijk dsdfhu",
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"нещо на Български",
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"កាន់តែពិសេសអាចខលចេញ",
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"🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)",
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"Hello",
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" Hello",
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" Hello",
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" Hello",
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" Hello",
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" Hello\n Hello",
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" (",
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"\n =",
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"' era",
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"Hello, y'all! How are you 😁 ?我想在apple工作1314151天～",
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"3",
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"33",
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"333",
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"3333",
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"33333",
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"333333",
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"3333333",
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"33333333",
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"333333333",
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]
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for text in tests:
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print('text: ', text)
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print(tokenizer.encode(text))
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print(tokenizer.decode(tokenizer.encode(text)))
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print("\n\ntests for C++:\n")
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for text in tests:
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res = tokenizer.encode(text)
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k = text.replace('\n', '\\n')
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k = k.replace('\t', '\\t')
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k = '"' + k + '"'
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print("{ %-24s, { " % k, end='')
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for x in res:
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print("%7d," % x, end='')
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print(" }, },")
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print(tokenizer.encode('hello'))
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print(tokenizer.encode('world'))
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print(tokenizer.encode(' world'))
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print(tokenizer.encode('hello world'))
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fname_tok = args.fname_tok
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if fname_tok:
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print('tokenizing file: ', fname_tok)
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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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res = tokenizer.encode(s)
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# write to file
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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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print('len(res): ', len(res))
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print('len(lines): ', len(lines))
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print('results written to: ', fname_out)
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@ -1,114 +0,0 @@
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# tests with SPM tokenizer
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#
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# sample usage:
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#
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# python3 tests/test-tokenizer-0-spm.py ~/Data/huggingface/Llama-2-7b-hf/
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# python3 tests/test-tokenizer-0-spm.py ~/Data/huggingface/CodeLlama-34b-Instruct-hf/
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#
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import argparse
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from sentencepiece import SentencePieceProcessor
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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")
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args = parser.parse_args()
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dir_tokenizer = args.dir_tokenizer
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tokenizer = SentencePieceProcessor(dir_tokenizer + '/tokenizer.model')
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tests = [
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"",
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" ",
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" ",
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" ",
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"\t",
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"\n",
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"\n\n",
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"\n\n\n",
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"\t\n",
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"Hello world",
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" Hello world",
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"Hello World",
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" Hello World",
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" Hello World!",
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"Hello, world!",
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" Hello, world!",
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" this is 🦙.cpp",
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"w048 7tuijk dsdfhu",
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"нещо на Български",
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"កាន់តែពិសេសអាចខលចេញ",
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"🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)",
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"Hello",
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" Hello",
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" Hello",
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" Hello",
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" Hello",
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" Hello\n Hello",
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" (",
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"\n =",
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"' era",
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"Hello, y'all! How are you 😁 ?我想在apple工作1314151天～",
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"3",
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"33",
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"333",
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"3333",
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"33333",
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"333333",
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"3333333",
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"33333333",
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"333333333",
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]
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for text in tests:
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print('text: ', text)
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print('\nwith bos:')
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print(tokenizer.encode(text, add_bos=True))
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print(tokenizer.decode(tokenizer.encode(text, add_bos=True)))
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print('\nwithout bos:')
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print(tokenizer.encode(text, add_bos=False))
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print(tokenizer.decode(tokenizer.encode(text, add_bos=False)))
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print("'" + tokenizer.id_to_piece(15043) + "'") # '_Hello'
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print("'" + tokenizer.id_to_piece(29871) + "'") # '_'
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print("'" + tokenizer.decode([15043]) + "'") # 'Hello'
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print("'" + tokenizer.decode([15043, 15043]) + "'") # 'Hello Hello'
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print("'" + tokenizer.decode([29871, 15043]) + "'") # ' Hello'
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print("'" + tokenizer.decode([29871, 15043, 29871, 15043]) + "'") # ' Hello Hello'
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print("\n\ntests for C++:\n")
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for text in tests:
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res = tokenizer.encode(text, add_bos=False)
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k = text.replace('\n', '\\n')
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k = k.replace('\t', '\\t')
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k = '"' + k + '"'
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print("{ %-24s, { " % k, end='')
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for x in res:
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print("%7d," % x, end='')
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print(" }, },")
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print(tokenizer.encode('hello'))
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print(tokenizer.encode('world'))
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print(tokenizer.encode(' world'))
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print(tokenizer.encode('hello world'))
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fname_tok = args.fname_tok
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if fname_tok:
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print('tokenizing file: ', fname_tok)
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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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res = tokenizer.encode(s, add_bos=True)
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# write to file
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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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f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n')
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print('len(res): ', len(res))
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print('len(lines): ', len(lines))
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print('results written to: ', fname_out)
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@ -55,8 +55,10 @@
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// return _k_tests;
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// return _k_tests;
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//}
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//}
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static std::map<std::string, std::vector<llama_token>> read_tests(const std::string & fname_inp, const std::string & fname_out) {
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using llama_tests = std::map<std::string, std::vector<llama_token>>;
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std::map<std::string, std::vector<llama_token>> tests;
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static llama_tests read_tests(const std::string & fname_inp, const std::string & fname_out) {
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llama_tests tests;
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std::ifstream ifs_inp(fname_inp);
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std::ifstream ifs_inp(fname_inp);
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if (!ifs_inp) {
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if (!ifs_inp) {
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@ -175,13 +177,21 @@ int main(int argc, char **argv) {
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bool success = true;
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bool success = true;
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const auto k_tests = read_tests(fname_inp, fname_out);
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const auto k_tests = [&]() -> llama_tests {
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if (!fname_text.empty()) {
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if (k_tests.empty()) {
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return {};
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fprintf(stderr, "%s : error: no tests found\n", __func__);
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return 1;
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}
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}
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const auto res = read_tests(fname_inp, fname_out);
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if (res.empty()) {
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fprintf(stderr, "%s : error: no tests found\n", __func__);
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exit(1);
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}
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return res;
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}();
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const bool add_special = false;
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const bool add_special = false;
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for (const auto & test_kv : k_tests) {
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for (const auto & test_kv : k_tests) {
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@ -238,7 +248,17 @@ int main(int argc, char **argv) {
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fprintf(stderr, "%s : text size: %zu\n", __func__, text.size());
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fprintf(stderr, "%s : text size: %zu\n", __func__, text.size());
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const std::vector<llama_token> res = llama_tokenize(ctx, text, add_special);
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std::vector<llama_token> res;
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{
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const auto t_start = ggml_time_us();
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res = llama_tokenize(ctx, text, add_special);
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const auto t_end = ggml_time_us();
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fprintf(stderr, "%s : tokenized in %.3f ms (cpp)\n", __func__, (t_end - t_start) / 1000.0);
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}
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fprintf(stderr, "%s : tokens: %zu\n", __func__, res.size());
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fprintf(stderr, "%s : tokens: %zu\n", __func__, res.size());
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}
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}
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for (const auto & tok : res) {
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for (const auto & tok : res) {
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ofs << tok << " '" << string_strip(llama_detokenize_bpe(ctx, std::vector<int>{tok})) << "'" << std::endl;
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//ofs << tok << " '" << string_strip(llama_detokenize_bpe(ctx, std::vector<int>{tok})) << "'" << std::endl;
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ofs << tok << "\n";
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}
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}
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}
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}
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46
tests/test-tokenizer-0.py
Normal file
46
tests/test-tokenizer-0.py
Normal file
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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)
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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)')
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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))
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print('len(lines): ', len(lines))
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print('results written to: ', fname_out)
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34
tests/test-tokenizer-0.sh
Executable file
34
tests/test-tokenizer-0.sh
Executable file
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#!/bin/bash
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#
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# Usage:
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#
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# test-tokenizer-0.sh <name> <input>
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||||||
|
#
|
||||||
|
|
||||||
|
if [ $# -ne 2 ]; then
|
||||||
|
printf "Usage: $0 <name> <input>\n"
|
||||||
|
exit 1
|
||||||
|
fi
|
||||||
|
|
||||||
|
name=$1
|
||||||
|
input=$2
|
||||||
|
|
||||||
|
make -j tests/test-tokenizer-0
|
||||||
|
|
||||||
|
printf "Testing %s on %s ...\n" $name $input
|
||||||
|
|
||||||
|
python3 ./tests/test-tokenizer-0.py ./models/tokenizers/$name --fname-tok $input > /tmp/test-tokenizer-0-$name-py.log 2>&1
|
||||||
|
cat /tmp/test-tokenizer-0-$name-py.log | grep "tokenized in"
|
||||||
|
|
||||||
|
./tests/test-tokenizer-0 ./models/ggml-vocab-$name.gguf $input > /tmp/test-tokenizer-0-$name-cpp.log 2>&1
|
||||||
|
cat /tmp/test-tokenizer-0-$name-cpp.log | grep "tokenized in"
|
||||||
|
|
||||||
|
diff $input.tok $input.tokcpp > /dev/null 2>&1
|
||||||
|
|
||||||
|
if [ $? -eq 0 ]; then
|
||||||
|
printf "Tokenization is correct!\n"
|
||||||
|
else
|
||||||
|
diff $input.tok $input.tokcpp | head -n 32
|
||||||
|
|
||||||
|
printf "Tokenization differs!\n"
|
||||||
|
fi
|
||||||
Loading…
Add table
Add a link
Reference in a new issue