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43248e5594
* merged the changes from deepseeker models to main branch * Moved regex patterns to unicode.cpp and updated unicode.h * Moved header files * Resolved issues * added and refactored unicode_regex_split and related functions * Updated/merged the deepseek coder pr * Refactored code * Adding unicode regex mappings * Adding unicode regex function * Added needed functionality, testing remains * Fixed issues * Fixed issue with gpt2 regex custom preprocessor * unicode : fix? unicode_wstring_to_utf8 * lint : fix whitespaces * tests : add tokenizer tests for numbers * unicode : remove redundant headers * tests : remove and rename tokenizer test scripts * tests : add sample usage * gguf-py : reader prints warnings on duplicate keys * llama : towards llama3 tokenization support (wip) * unicode : shot in the dark to fix tests on Windows * unicode : first try custom implementations * convert : add "tokenizer.ggml.pre" GGUF KV (wip) * llama : use new pre-tokenizer type * convert : fix pre-tokenizer type writing * lint : fix * make : add test-tokenizer-0-llama-v3 * wip * models : add llama v3 vocab file * llama : adapt punctuation regex + add llama 3 regex * minor * unicode : set bomb * unicode : set bomb * unicode : always use std::wregex * unicode : support \p{N}, \p{L} and \p{P} natively * unicode : try fix windows * unicode : category support via std::regex * unicode : clean-up * unicode : simplify * llama3 custom regex split * convert : add convert-hf-to-gguf-update.py ggml-ci * lint : update * convert : add falcon ggml-ci * unicode : normalize signatures * lint : fix * lint : fix * convert : remove unused functions * convert : add comments * convert : exercise contractions ggml-ci * Using char32_t for codepoints * lint : fix * already exists unicode_tolower() * Typing * Restore BOM * cmake : refactor test targets * tests : refactor vocab tests ggml-ci * tests : add more vocabs and tests ggml-ci * unicode : cleanup * scripts : ignore new update script in check-requirements.sh * Fix merge * models : add phi-3, mpt, gpt-2, starcoder * tests : disable obsolete ggml-ci * tests : use faster bpe test ggml-ci * llama : more prominent warning for old BPE models * tests : disable test-tokenizer-1-bpe due to slowness ggml-ci * Move unused variable value * GPT2 custom regex split * Add alternative regex for custom aplit llama3 Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Style * Add bruteforce random tests for token encoding * wip: fixing unicode codepoint ranges * Fix merge * Unicode tables: separator, lowercase, uppercase and whitespace * llama3 custom regex split: fix \s * Restore BOM * Style * wip: generate NDF table * Ignore special tokens for testing * Clean gen-unicode-data.py * Refactor random tokenizer test * lint : fix * tests : add fail test for llama-bpe --------- Co-authored-by: Jaggzh <jaggz.h@gmail.com> Co-authored-by: Kazim Abrar Mahi <kazimabrarmahi135@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: jaime-m-p <>
32 lines
974 B
C++
32 lines
974 B
C++
#pragma once
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#include <cstdint>
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#include <string>
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#include <vector>
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#define CODEPOINT_TYPE_UNIDENTIFIED 0
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#define CODEPOINT_TYPE_NUMBER 1
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#define CODEPOINT_TYPE_LETTER 2
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#define CODEPOINT_TYPE_SEPARATOR 3
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#define CODEPOINT_TYPE_ACCENT_MARK 4
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#define CODEPOINT_TYPE_PUNCTUATION 5
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#define CODEPOINT_TYPE_SYMBOL 6
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#define CODEPOINT_TYPE_CONTROL 7
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std::string unicode_cpt_to_utf8(uint32_t cp);
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std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8);
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std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & cpts);
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int unicode_cpt_type(uint32_t cp);
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int unicode_cpt_type(const std::string & utf8);
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bool unicode_cpt_is_whitespace(uint32_t cp);
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std::string unicode_byte_to_utf8(uint8_t byte);
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uint8_t unicode_utf8_to_byte(const std::string & utf8);
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char32_t unicode_tolower(char32_t cp);
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std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs);
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