mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2025-01-10 12:30:50 +01:00
6381d4e110
* gguf : first API pass * gguf : read header + meta data * gguf : read tensor info * gguf : initial model loading - not tested * gguf : add gguf_get_tensor_name() * gguf : do not support passing existing ggml_context to gguf_init * gguf : simplify gguf_get_val * gguf : gguf.c is now part of ggml.c * gguf : read / write sample models * gguf : add comments * refactor : reduce code duplication and better API (#2415) * gguf : expose the gguf_type enum through the API for now * gguf : add array support * gguf.py : some code style changes * convert.py : start a new simplified implementation by removing old stuff * convert.py : remove GGML vocab + other obsolete stuff * GGUF : write tensor (#2426) * WIP: Write tensor * GGUF : Support writing tensors in Python * refactor : rm unused import and upd todos * fix : fix errors upd writing example * rm example.gguf * gitignore *.gguf * undo formatting * gguf : add gguf_find_key (#2438) * gguf.cpp : find key example * ggml.h : add gguf_find_key * ggml.c : add gguf_find_key * gguf : fix writing tensors * gguf : do not hardcode tensor names to read * gguf : write sample tensors to read * gguf : add tokenization constants * quick and dirty conversion example * gguf : fix writing gguf arrays * gguf : write tensors one by one and code reuse * gguf : fix writing gguf arrays * gguf : write tensors one by one * gguf : write tensors one by one * gguf : write tokenizer data * gguf : upd gguf conversion script * Update convert-llama-h5-to-gguf.py * gguf : handle already encoded string * ggml.h : get array str and f32 * ggml.c : get arr str and f32 * gguf.py : support any type * Update convert-llama-h5-to-gguf.py * gguf : fix set is not subscriptable * gguf : update convert-llama-h5-to-gguf.py * constants.py : add layer norm eps * gguf.py : add layer norm eps and merges * ggml.h : increase GGML_MAX_NAME to 64 * ggml.c : add gguf_get_arr_n * Update convert-llama-h5-to-gguf.py * add gptneox gguf example * Makefile : add gptneox gguf example * Update convert-llama-h5-to-gguf.py * add gptneox gguf example * Update convert-llama-h5-to-gguf.py * Update convert-gptneox-h5-to-gguf.py * Update convert-gptneox-h5-to-gguf.py * Update convert-llama-h5-to-gguf.py * gguf : support custom alignment value * gguf : fix typo in function call * gguf : mmap tensor data example * fix : update convert-llama-h5-to-gguf.py * Update convert-llama-h5-to-gguf.py * convert-gptneox-h5-to-gguf.py : Special tokens * gptneox-main.cpp : special tokens * Update gptneox-main.cpp * constants.py : special tokens * gguf.py : accumulate kv and tensor info data + special tokens * convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens * gguf : gguf counterpart of llama-util.h * gguf-util.h : update note * convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens * convert-llama-h5-to-gguf.py : special tokens * Delete gptneox-common.cpp * Delete gptneox-common.h * convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer * gptneox-main.cpp : gpt2 bpe tokenizer * gpt2 bpe tokenizer (handles merges and unicode) * Makefile : remove gptneox-common * gguf.py : bytesarray for gpt2bpe tokenizer * cmpnct_gpt2bpe.hpp : comments * gguf.py : use custom alignment if present * gguf : minor stuff * Update gptneox-main.cpp * map tensor names * convert-gptneox-h5-to-gguf.py : map tensor names * convert-llama-h5-to-gguf.py : map tensor names * gptneox-main.cpp : map tensor names * gguf : start implementing libllama in GGUF (WIP) * gguf : start implementing libllama in GGUF (WIP) * rm binary commited by mistake * upd .gitignore * gguf : calculate n_mult * gguf : inference with 7B model working (WIP) * gguf : rm deprecated function * gguf : start implementing gguf_file_saver (WIP) * gguf : start implementing gguf_file_saver (WIP) * gguf : start implementing gguf_file_saver (WIP) * gguf : add gguf_get_kv_type * gguf : add gguf_get_kv_type * gguf : write metadata in gguf_file_saver (WIP) * gguf : write metadata in gguf_file_saver (WIP) * gguf : write metadata in gguf_file_saver * gguf : rm references to old file formats * gguf : shorter name for member variable * gguf : rm redundant method * gguf : get rid of n_mult, read n_ff from file * Update gguf_tensor_map.py * Update gptneox-main.cpp * gguf : rm references to old file magics * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : quantization is working * gguf : roper closing of file * gguf.py : no need to convert tensors twice * convert-gptneox-h5-to-gguf.py : no need to convert tensors twice * convert-llama-h5-to-gguf.py : no need to convert tensors twice * convert-gptneox-h5-to-gguf.py : simplify nbytes * convert-llama-h5-to-gguf.py : simplify nbytes * gptneox-main.cpp : n_layer --> n_block * constants.py : n_layer --> n_block * gguf.py : n_layer --> n_block * convert-gptneox-h5-to-gguf.py : n_layer --> n_block * convert-llama-h5-to-gguf.py : n_layer --> n_block * gptneox-main.cpp : n_layer --> n_block * Update gguf_tensor_map.py * convert-gptneox-h5-to-gguf.py : load model in parts to save memory * convert-llama-h5-to-gguf.py : load model in parts to save memory * convert : write more metadata for LLaMA * convert : rm quantization version * convert-gptneox-h5-to-gguf.py : add file_type key * gptneox-main.cpp : add file_type key * fix conflicts * gguf : add todos and comments * convert-gptneox-h5-to-gguf.py : tensor name map changes * Create gguf_namemap.py : tensor name map changes * Delete gguf_tensor_map.py * gptneox-main.cpp : tensor name map changes * convert-llama-h5-to-gguf.py : fixes * gguf.py : dont add empty strings * simple : minor style changes * gguf : use UNIX line ending * Create convert-llama-7b-pth-to-gguf.py * llama : sync gguf-llama.cpp with latest llama.cpp (#2608) * llama : sync gguf-llama.cpp with latest llama.cpp * minor : indentation + assert * llama : refactor gguf_buffer and gguf_ctx_buffer * llama : minor * gitignore : add gptneox-main * llama : tokenizer fixes (#2549) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * convert : update convert-new.py with tokenizer fixes (#2614) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * Adapt convert-new.py (and fix a clang-cl compiler error on windows) * llama : sync gguf-llama with llama (#2613) * llama : sync gguf-llama with llama * tests : fix build + warnings (test-tokenizer-1 still fails) * tests : fix wstring_convert * convert : fix layer names * llama : sync gguf-llama.cpp * convert : update HF converter to new tokenizer voodoo magics * llama : update tokenizer style * convert-llama-h5-to-gguf.py : add token types * constants.py : add token types * gguf.py : add token types * convert-llama-7b-pth-to-gguf.py : add token types * gguf-llama.cpp : fix n_head_kv * convert-llama-h5-to-gguf.py : add 70b gqa support * gguf.py : add tensor data layout * convert-llama-h5-to-gguf.py : add tensor data layout * convert-llama-7b-pth-to-gguf.py : add tensor data layout * gptneox-main.cpp : add tensor data layout * convert-llama-h5-to-gguf.py : clarify the reverse permute * llama : refactor model loading code (#2620) * llama : style formatting + remove helper methods * llama : fix quantization using gguf tool * llama : simplify gguf_file_saver * llama : fix method names * llama : simplify write_header() * llama : no need to pass full file loader to the file saver just gguf_ctx * llama : gguf_file_saver write I32 * llama : refactor tensor names (#2622) * gguf: update tensor names searched in quantization * gguf : define tensor names as constants * gguf : initial write API (not tested yet) * gguf : write to file API (not tested) * gguf : initial write API ready + example * gguf : fix header write * gguf : fixes + simplify example + add ggml_nbytes_pad() * gguf : minor * llama : replace gguf_file_saver with new gguf write API * gguf : streaming support when writing files * gguf : remove oboslete write methods * gguf : remove obosolete gguf_get_arr_xxx API * llama : simplify gguf_file_loader * llama : move hparams and vocab from gguf_file_loader to llama_model_loader * llama : merge gguf-util.h in llama.cpp * llama : reorder definitions in .cpp to match .h * llama : minor simplifications * llama : refactor llama_model_loader (WIP) wip : remove ggml_ctx from llama_model_loader wip : merge gguf_file_loader in llama_model_loader * llama : fix shape prints * llama : fix Windows build + fix norm_rms_eps key * llama : throw error on missing KV paris in model meta data * llama : improve printing + log meta data * llama : switch print order of meta data --------- Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com> * gguf : deduplicate (#2629) * gguf : better type names * dedup : CPU + Metal is working * ggml : fix warnings about unused results * llama.cpp : fix line feed and compiler warning * llama : fix strncpy warning + note token_to_str does not write null * llama : restore the original load/save session implementation Will migrate this to GGUF in the future * convert-llama-h5-to-gguf.py : support alt ctx param name * ggml : assert when using ggml_mul with non-F32 src1 * examples : dedup simple --------- Co-authored-by: klosax <131523366+klosax@users.noreply.github.com> * gguf.py : merge all files in gguf.py * convert-new.py : pick #2427 for HF 70B support * examples/gguf : no need to keep q option for quantization any more * llama.cpp : print actual model size * llama.cpp : use ggml_elements() * convert-new.py : output gguf (#2635) * convert-new.py : output gguf (WIP) * convert-new.py : add gguf key-value pairs * llama : add hparams.ctx_train + no longer print ftype * convert-new.py : minor fixes * convert-new.py : vocab-only option should work now * llama : fix tokenizer to use llama_char_to_byte * tests : add new ggml-vocab-llama.gguf * convert-new.py : tensor name mapping * convert-new.py : add map for skipping tensor serialization * convert-new.py : convert script now works * gguf.py : pick some of the refactoring from #2644 * convert-new.py : minor fixes * convert.py : update to support GGUF output * Revert "ci : disable CI temporary to not waste energy" This reverts commit 7e82d25f40386540c2c15226300ad998ecd871ea. * convert.py : n_head_kv optional and .gguf file extension * convert.py : better always have n_head_kv and default it to n_head * llama : sync with recent PRs on master * editorconfig : ignore models folder ggml-ci * ci : update ".bin" to ".gguf" extension ggml-ci * llama : fix llama_model_loader memory leak * gptneox : move as a WIP example * llama : fix lambda capture ggml-ci * ggml : fix bug in gguf_set_kv ggml-ci * common.h : .bin --> .gguf * quantize-stats.cpp : .bin --> .gguf * convert.py : fix HF tensor permuting / unpacking ggml-ci * llama.cpp : typo * llama : throw error if gguf fails to init from file ggml-ci * llama : fix tensor name grepping during quantization ggml-ci * gguf.py : write tensors in a single pass (#2644) * gguf : single pass for writing tensors + refactoring writer * gguf : single pass for writing tensors + refactoring writer * gguf : single pass for writing tensors + refactoring writer * gguf : style fixes in simple conversion script * gguf : refactor gptneox conversion script * gguf : rename h5 to hf (for HuggingFace) * gguf : refactor pth to gguf conversion script * gguf : rm file_type key and method * gguf.py : fix vertical alignment * gguf.py : indentation --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * convert-gptneox-hf-to-gguf.py : fixes * gguf.py : gptneox mapping * convert-llama-hf-to-gguf.py : fixes * convert-llama-7b-pth-to-gguf.py : fixes * ggml.h : reverse GGUF_MAGIC * gguf.py : reverse GGUF_MAGIC * test-tokenizer-0.cpp : fix warning * llama.cpp : print kv general.name * llama.cpp : get special token kv and linefeed token id * llama : print number of tensors per type + print arch + style * tests : update vocab file with new magic * editorconfig : fix whitespaces * llama : re-order functions * llama : remove C++ API + reorganize common source in /common dir * llama : minor API updates * llama : avoid hardcoded special tokens * llama : fix MPI build ggml-ci * llama : introduce enum llama_vocab_type + remove hardcoded string constants * convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested * falcon-main.cpp : falcon inference example * convert-falcon-hf-to-gguf.py : remove extra kv * convert-gptneox-hf-to-gguf.py : remove extra kv * convert-llama-7b-pth-to-gguf.py : remove extra kv * convert-llama-hf-to-gguf.py : remove extra kv * gguf.py : fix for falcon 40b * falcon-main.cpp : fix for falcon 40b * convert-falcon-hf-to-gguf.py : update ref * convert-falcon-hf-to-gguf.py : add tensor data layout * cmpnct_gpt2bpe.hpp : fixes * falcon-main.cpp : fixes * gptneox-main.cpp : fixes * cmpnct_gpt2bpe.hpp : remove non-general stuff * Update examples/server/README.md Co-authored-by: slaren <slarengh@gmail.com> * cmpnct_gpt2bpe.hpp : cleanup * convert-llama-hf-to-gguf.py : special tokens * convert-llama-7b-pth-to-gguf.py : special tokens * convert-permute-debug.py : permute debug print * convert-permute-debug-master.py : permute debug for master * convert-permute-debug.py : change permute type of attn_q * convert.py : 70b model working (change attn_q permute) * Delete convert-permute-debug-master.py * Delete convert-permute-debug.py * convert-llama-hf-to-gguf.py : fix attn_q permute * gguf.py : fix rope scale kv * convert-llama-hf-to-gguf.py : rope scale and added tokens * convert-llama-7b-pth-to-gguf.py : rope scale and added tokens * llama.cpp : use rope scale kv * convert-llama-7b-pth-to-gguf.py : rope scale fix * convert-llama-hf-to-gguf.py : rope scale fix * py : fix whitespace * gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682) * First pass at converting GGMLv3 LLaMA models to GGUF * Cleanups, better output during conversion * Fix vocab space conversion logic * More vocab conversion fixes * Add description to converted GGUF files * Improve help text, expand warning * Allow specifying name and description for output GGUF * Allow overriding vocab and hyperparams from original model metadata * Use correct params override var name * Fix wrong type size for Q8_K Better handling of original style metadata * Set default value for gguf add_tensor raw_shape KW arg * llama : improve token type support (#2668) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * Adapt convert-new.py (and fix a clang-cl compiler error on windows) * Improved tokenizer test But does it work on MacOS? * Improve token type support - Added @klosax code to convert.py - Improved token type support in vocabulary * Exclude platform dependent tests * More sentencepiece compatibility by eliminating magic numbers * Restored accidentally removed comment * llama : add API for token type ggml-ci * tests : use new tokenizer type API (#2692) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * Adapt convert-new.py (and fix a clang-cl compiler error on windows) * Improved tokenizer test But does it work on MacOS? * Improve token type support - Added @klosax code to convert.py - Improved token type support in vocabulary * Exclude platform dependent tests * More sentencepiece compatibility by eliminating magic numbers * Restored accidentally removed comment * Improve commentary * Use token type API in test-tokenizer-1.cpp * py : cosmetics * readme : add notice about new file format ggml-ci --------- Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com> Co-authored-by: klosax <131523366+klosax@users.noreply.github.com> Co-authored-by: goerch <jhr.walter@t-online.de> Co-authored-by: slaren <slarengh@gmail.com> Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
424 lines
17 KiB
C++
424 lines
17 KiB
C++
#include "grammar-parser.h"
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#include <cstdint>
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#include <cwchar>
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#include <string>
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#include <utility>
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#include <stdexcept>
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#include <exception>
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namespace grammar_parser {
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// NOTE: assumes valid utf8 (but checks for overrun)
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// copied from llama.cpp
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std::pair<uint32_t, const char *> decode_utf8(const char * src) {
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static const int lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 };
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uint8_t first_byte = static_cast<uint8_t>(*src);
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uint8_t highbits = first_byte >> 4;
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int len = lookup[highbits];
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uint8_t mask = (1 << (8 - len)) - 1;
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uint32_t value = first_byte & mask;
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const char * end = src + len; // may overrun!
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const char * pos = src + 1;
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for ( ; pos < end && *pos; pos++) {
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value = (value << 6) + (static_cast<uint8_t>(*pos) & 0x3F);
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}
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return std::make_pair(value, pos);
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}
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uint32_t get_symbol_id(parse_state & state, const char * src, size_t len) {
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uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
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auto result = state.symbol_ids.insert(std::make_pair(std::string(src, len), next_id));
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return result.first->second;
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}
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uint32_t generate_symbol_id(parse_state & state, const std::string & base_name) {
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uint32_t next_id = static_cast<uint32_t>(state.symbol_ids.size());
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state.symbol_ids[base_name + '_' + std::to_string(next_id)] = next_id;
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return next_id;
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}
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void add_rule(
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parse_state & state,
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uint32_t rule_id,
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const std::vector<llama_grammar_element> & rule) {
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if (state.rules.size() <= rule_id) {
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state.rules.resize(rule_id + 1);
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}
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state.rules[rule_id] = rule;
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}
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bool is_word_char(char c) {
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return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || ('0' <= c && c <= '9');
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}
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std::pair<uint32_t, const char *> parse_hex(const char * src, int size) {
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const char * pos = src;
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const char * end = src + size;
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uint32_t value = 0;
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for ( ; pos < end && *pos; pos++) {
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value <<= 4;
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char c = *pos;
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if ('a' <= c && c <= 'f') {
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value += c - 'a' + 10;
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} else if ('A' <= c && c <= 'F') {
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value += c - 'A' + 10;
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} else if ('0' <= c && c <= '9') {
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value += c - '0';
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} else {
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break;
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}
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}
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if (pos != end) {
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throw std::runtime_error("expecting " + std::to_string(size) + " hex chars at " + src);
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}
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return std::make_pair(value, pos);
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}
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const char * parse_space(const char * src, bool newline_ok) {
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const char * pos = src;
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while (*pos == ' ' || *pos == '\t' || *pos == '#' ||
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(newline_ok && (*pos == '\r' || *pos == '\n'))) {
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if (*pos == '#') {
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while (*pos && *pos != '\r' && *pos != '\n') {
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pos++;
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}
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} else {
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pos++;
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}
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}
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return pos;
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}
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const char * parse_name(const char * src) {
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const char * pos = src;
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while (is_word_char(*pos)) {
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pos++;
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}
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if (pos == src) {
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throw std::runtime_error(std::string("expecting name at ") + src);
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}
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return pos;
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}
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std::pair<uint32_t, const char *> parse_char(const char * src) {
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if (*src == '\\') {
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switch (src[1]) {
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case 'x': return parse_hex(src + 2, 2);
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case 'u': return parse_hex(src + 2, 4);
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case 'U': return parse_hex(src + 2, 8);
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case 't': return std::make_pair('\t', src + 2);
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case 'r': return std::make_pair('\r', src + 2);
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case 'n': return std::make_pair('\n', src + 2);
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case '\\':
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case '"':
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case '[':
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case ']':
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return std::make_pair(src[1], src + 2);
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default:
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throw std::runtime_error(std::string("unknown escape at ") + src);
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}
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} else if (*src) {
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return decode_utf8(src);
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}
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throw std::runtime_error("unexpected end of input");
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}
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const char * parse_alternates(
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parse_state & state,
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const char * src,
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const std::string & rule_name,
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uint32_t rule_id,
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bool is_nested);
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const char * parse_sequence(
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parse_state & state,
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const char * src,
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const std::string & rule_name,
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std::vector<llama_grammar_element> & out_elements,
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bool is_nested) {
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size_t last_sym_start = out_elements.size();
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const char * pos = src;
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while (*pos) {
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if (*pos == '"') { // literal string
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pos++;
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last_sym_start = out_elements.size();
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while (*pos != '"') {
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auto char_pair = parse_char(pos);
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pos = char_pair.second;
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out_elements.push_back({LLAMA_GRETYPE_CHAR, char_pair.first});
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}
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pos = parse_space(pos + 1, is_nested);
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} else if (*pos == '[') { // char range(s)
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pos++;
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enum llama_gretype start_type = LLAMA_GRETYPE_CHAR;
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if (*pos == '^') {
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pos++;
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start_type = LLAMA_GRETYPE_CHAR_NOT;
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}
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last_sym_start = out_elements.size();
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while (*pos != ']') {
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auto char_pair = parse_char(pos);
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pos = char_pair.second;
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enum llama_gretype type = last_sym_start < out_elements.size()
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? LLAMA_GRETYPE_CHAR_ALT
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: start_type;
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out_elements.push_back({type, char_pair.first});
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if (pos[0] == '-' && pos[1] != ']') {
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auto endchar_pair = parse_char(pos + 1);
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pos = endchar_pair.second;
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out_elements.push_back({LLAMA_GRETYPE_CHAR_RNG_UPPER, endchar_pair.first});
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}
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|
}
|
|
pos = parse_space(pos + 1, is_nested);
|
|
} else if (is_word_char(*pos)) { // rule reference
|
|
const char * name_end = parse_name(pos);
|
|
uint32_t ref_rule_id = get_symbol_id(state, pos, name_end - pos);
|
|
pos = parse_space(name_end, is_nested);
|
|
last_sym_start = out_elements.size();
|
|
out_elements.push_back({LLAMA_GRETYPE_RULE_REF, ref_rule_id});
|
|
} else if (*pos == '(') { // grouping
|
|
// parse nested alternates into synthesized rule
|
|
pos = parse_space(pos + 1, true);
|
|
uint32_t sub_rule_id = generate_symbol_id(state, rule_name);
|
|
pos = parse_alternates(state, pos, rule_name, sub_rule_id, true);
|
|
last_sym_start = out_elements.size();
|
|
// output reference to synthesized rule
|
|
out_elements.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id});
|
|
if (*pos != ')') {
|
|
throw std::runtime_error(std::string("expecting ')' at ") + pos);
|
|
}
|
|
pos = parse_space(pos + 1, is_nested);
|
|
} else if (*pos == '*' || *pos == '+' || *pos == '?') { // repetition operator
|
|
if (last_sym_start == out_elements.size()) {
|
|
throw std::runtime_error(std::string("expecting preceeding item to */+/? at ") + pos);
|
|
}
|
|
|
|
// apply transformation to previous symbol (last_sym_start to end) according to
|
|
// rewrite rules:
|
|
// S* --> S' ::= S S' |
|
|
// S+ --> S' ::= S S' | S
|
|
// S? --> S' ::= S |
|
|
uint32_t sub_rule_id = generate_symbol_id(state, rule_name);
|
|
std::vector<llama_grammar_element> sub_rule;
|
|
// add preceding symbol to generated rule
|
|
sub_rule.insert(
|
|
sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
|
|
if (*pos == '*' || *pos == '+') {
|
|
// cause generated rule to recurse
|
|
sub_rule.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id});
|
|
}
|
|
// mark start of alternate def
|
|
sub_rule.push_back({LLAMA_GRETYPE_ALT, 0});
|
|
if (*pos == '+') {
|
|
// add preceding symbol as alternate only for '+' (otherwise empty)
|
|
sub_rule.insert(
|
|
sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
|
|
}
|
|
sub_rule.push_back({LLAMA_GRETYPE_END, 0});
|
|
add_rule(state, sub_rule_id, sub_rule);
|
|
|
|
// in original rule, replace previous symbol with reference to generated rule
|
|
out_elements.resize(last_sym_start);
|
|
out_elements.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id});
|
|
|
|
pos = parse_space(pos + 1, is_nested);
|
|
} else {
|
|
break;
|
|
}
|
|
}
|
|
return pos;
|
|
}
|
|
|
|
const char * parse_alternates(
|
|
parse_state & state,
|
|
const char * src,
|
|
const std::string & rule_name,
|
|
uint32_t rule_id,
|
|
bool is_nested) {
|
|
std::vector<llama_grammar_element> rule;
|
|
const char * pos = parse_sequence(state, src, rule_name, rule, is_nested);
|
|
while (*pos == '|') {
|
|
rule.push_back({LLAMA_GRETYPE_ALT, 0});
|
|
pos = parse_space(pos + 1, true);
|
|
pos = parse_sequence(state, pos, rule_name, rule, is_nested);
|
|
}
|
|
rule.push_back({LLAMA_GRETYPE_END, 0});
|
|
add_rule(state, rule_id, rule);
|
|
return pos;
|
|
}
|
|
|
|
const char * parse_rule(parse_state & state, const char * src) {
|
|
const char * name_end = parse_name(src);
|
|
const char * pos = parse_space(name_end, false);
|
|
size_t name_len = name_end - src;
|
|
uint32_t rule_id = get_symbol_id(state, src, name_len);
|
|
const std::string name(src, name_len);
|
|
|
|
if (!(pos[0] == ':' && pos[1] == ':' && pos[2] == '=')) {
|
|
throw std::runtime_error(std::string("expecting ::= at ") + pos);
|
|
}
|
|
pos = parse_space(pos + 3, true);
|
|
|
|
pos = parse_alternates(state, pos, name, rule_id, false);
|
|
|
|
if (*pos == '\r') {
|
|
pos += pos[1] == '\n' ? 2 : 1;
|
|
} else if (*pos == '\n') {
|
|
pos++;
|
|
} else if (*pos) {
|
|
throw std::runtime_error(std::string("expecting newline or end at ") + pos);
|
|
}
|
|
return parse_space(pos, true);
|
|
}
|
|
|
|
parse_state parse(const char * src) {
|
|
try {
|
|
parse_state state;
|
|
const char * pos = parse_space(src, true);
|
|
while (*pos) {
|
|
pos = parse_rule(state, pos);
|
|
}
|
|
return state;
|
|
} catch (const std::exception & err) {
|
|
fprintf(stderr, "%s: error parsing grammar: %s\n", __func__, err.what());
|
|
return parse_state();
|
|
}
|
|
}
|
|
|
|
void print_grammar_char(FILE * file, uint32_t c) {
|
|
if (0x20 <= c && c <= 0x7f) {
|
|
fprintf(file, "%c", static_cast<char>(c));
|
|
} else {
|
|
// cop out of encoding UTF-8
|
|
fprintf(file, "<U+%04X>", c);
|
|
}
|
|
}
|
|
|
|
bool is_char_element(llama_grammar_element elem) {
|
|
switch (elem.type) {
|
|
case LLAMA_GRETYPE_CHAR: return true;
|
|
case LLAMA_GRETYPE_CHAR_NOT: return true;
|
|
case LLAMA_GRETYPE_CHAR_ALT: return true;
|
|
case LLAMA_GRETYPE_CHAR_RNG_UPPER: return true;
|
|
default: return false;
|
|
}
|
|
}
|
|
|
|
void print_rule_binary(FILE * file, const std::vector<llama_grammar_element> & rule) {
|
|
for (auto elem : rule) {
|
|
switch (elem.type) {
|
|
case LLAMA_GRETYPE_END: fprintf(file, "END"); break;
|
|
case LLAMA_GRETYPE_ALT: fprintf(file, "ALT"); break;
|
|
case LLAMA_GRETYPE_RULE_REF: fprintf(file, "RULE_REF"); break;
|
|
case LLAMA_GRETYPE_CHAR: fprintf(file, "CHAR"); break;
|
|
case LLAMA_GRETYPE_CHAR_NOT: fprintf(file, "CHAR_NOT"); break;
|
|
case LLAMA_GRETYPE_CHAR_RNG_UPPER: fprintf(file, "CHAR_RNG_UPPER"); break;
|
|
case LLAMA_GRETYPE_CHAR_ALT: fprintf(file, "CHAR_ALT"); break;
|
|
}
|
|
switch (elem.type) {
|
|
case LLAMA_GRETYPE_END:
|
|
case LLAMA_GRETYPE_ALT:
|
|
case LLAMA_GRETYPE_RULE_REF:
|
|
fprintf(file, "(%u) ", elem.value);
|
|
break;
|
|
case LLAMA_GRETYPE_CHAR:
|
|
case LLAMA_GRETYPE_CHAR_NOT:
|
|
case LLAMA_GRETYPE_CHAR_RNG_UPPER:
|
|
case LLAMA_GRETYPE_CHAR_ALT:
|
|
fprintf(file, "(\"");
|
|
print_grammar_char(file, elem.value);
|
|
fprintf(file, "\") ");
|
|
break;
|
|
}
|
|
}
|
|
fprintf(file, "\n");
|
|
}
|
|
|
|
void print_rule(
|
|
FILE * file,
|
|
uint32_t rule_id,
|
|
const std::vector<llama_grammar_element> & rule,
|
|
const std::map<uint32_t, std::string> & symbol_id_names) {
|
|
if (rule.empty() || rule.back().type != LLAMA_GRETYPE_END) {
|
|
throw std::runtime_error(
|
|
"malformed rule, does not end with LLAMA_GRETYPE_END: " + std::to_string(rule_id));
|
|
}
|
|
fprintf(file, "%s ::= ", symbol_id_names.at(rule_id).c_str());
|
|
for (size_t i = 0, end = rule.size() - 1; i < end; i++) {
|
|
llama_grammar_element elem = rule[i];
|
|
switch (elem.type) {
|
|
case LLAMA_GRETYPE_END:
|
|
throw std::runtime_error(
|
|
"unexpected end of rule: " + std::to_string(rule_id) + "," +
|
|
std::to_string(i));
|
|
case LLAMA_GRETYPE_ALT:
|
|
fprintf(file, "| ");
|
|
break;
|
|
case LLAMA_GRETYPE_RULE_REF:
|
|
fprintf(file, "%s ", symbol_id_names.at(elem.value).c_str());
|
|
break;
|
|
case LLAMA_GRETYPE_CHAR:
|
|
fprintf(file, "[");
|
|
print_grammar_char(file, elem.value);
|
|
break;
|
|
case LLAMA_GRETYPE_CHAR_NOT:
|
|
fprintf(file, "[^");
|
|
print_grammar_char(file, elem.value);
|
|
break;
|
|
case LLAMA_GRETYPE_CHAR_RNG_UPPER:
|
|
if (i == 0 || !is_char_element(rule[i - 1])) {
|
|
throw std::runtime_error(
|
|
"LLAMA_GRETYPE_CHAR_RNG_UPPER without preceding char: " +
|
|
std::to_string(rule_id) + "," + std::to_string(i));
|
|
}
|
|
fprintf(file, "-");
|
|
print_grammar_char(file, elem.value);
|
|
break;
|
|
case LLAMA_GRETYPE_CHAR_ALT:
|
|
if (i == 0 || !is_char_element(rule[i - 1])) {
|
|
throw std::runtime_error(
|
|
"LLAMA_GRETYPE_CHAR_ALT without preceding char: " +
|
|
std::to_string(rule_id) + "," + std::to_string(i));
|
|
}
|
|
print_grammar_char(file, elem.value);
|
|
break;
|
|
}
|
|
if (is_char_element(elem)) {
|
|
switch (rule[i + 1].type) {
|
|
case LLAMA_GRETYPE_CHAR_ALT:
|
|
case LLAMA_GRETYPE_CHAR_RNG_UPPER:
|
|
break;
|
|
default:
|
|
fprintf(file, "] ");
|
|
}
|
|
}
|
|
}
|
|
fprintf(file, "\n");
|
|
}
|
|
|
|
void print_grammar(FILE * file, const parse_state & state) {
|
|
try {
|
|
std::map<uint32_t, std::string> symbol_id_names;
|
|
for (auto kv : state.symbol_ids) {
|
|
symbol_id_names[kv.second] = kv.first;
|
|
}
|
|
for (size_t i = 0, end = state.rules.size(); i < end; i++) {
|
|
// fprintf(file, "%zu: ", i);
|
|
// print_rule_binary(file, state.rules[i]);
|
|
print_rule(file, uint32_t(i), state.rules[i], symbol_id_names);
|
|
// fprintf(file, "\n");
|
|
}
|
|
} catch (const std::exception & err) {
|
|
fprintf(stderr, "\n%s: error printing grammar: %s\n", __func__, err.what());
|
|
}
|
|
}
|
|
|
|
std::vector<const llama_grammar_element *> parse_state::c_rules() {
|
|
std::vector<const llama_grammar_element *> ret;
|
|
for (const auto & rule : rules) {
|
|
ret.push_back(rule.data());
|
|
}
|
|
return ret;
|
|
}
|
|
}
|