Work on the BPE tokenizer (#3252)
* Work on the BPE tokenizer Tokenizer tests work for Falcon-7B * Try to fix build problem * Fix debug assertion failure * Fix MSVC Unicode BOM problem * Cleanup and an improvement * Fix compiler warning * Cleanup * Test doesn't work over the full range of Unicodes * Update .gitignore and Makefile * Another Makefile rule * Testing Aquila * Moving byte decoding back to `token_to_piece` ... ... because everyone is using it. * Guarding some unusable code pathes * Streamlining code and adding some more assertions Important change: I'm classifying added tokens as control tokens now for BPE. * Adding a comment * Adding another assertion * Fixed vocabulary guarding assertions * Fix PR for recent change * Fix PR for recent change * Fix for compiler warning * Fix PR for recent change * Fix PR for recent change * Fix PR for recent change * Fix for compiler warning * Fixes for more compiler warnings * Remove unused code * Fix initialization of static maps * Add scores and token types back, adapt gptneox * Update llama.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update unicode.h Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update unicode.h Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Ported Starcoder and added some assertions * Fix coding style * Apply @jploski 's fix for missing tokens --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
goerch
GitHub
parent
1c84003c08
commit
ff5a3f0c09
15 changed files with 852 additions and 227 deletions
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@ -7,9 +7,6 @@ endfunction()
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function(llama_test_executable name source)
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get_filename_component(TEST_TARGET ${source} NAME_WE)
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# add_executable(${TEST_TARGET} ${source})
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# install(TARGETS ${TEST_TARGET} RUNTIME)
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# target_link_libraries(${TEST_TARGET} PRIVATE llama)
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add_test(NAME ${name} COMMAND $<TARGET_FILE:${TEST_TARGET}> ${ARGN})
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endfunction()
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@ -28,10 +25,12 @@ llama_build_and_test_executable(test-sampling.cpp)
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llama_build_executable(test-tokenizer-0-llama.cpp)
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llama_test_executable (test-tokenizer-0-llama test-tokenizer-0-llama.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama.gguf)
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llama_build_executable(test-tokenizer-0-falcon.cpp)
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#llama_test_executable (test-tokenizer-0-falcon test-tokenizer-0-falcon.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-falcon.gguf)
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llama_test_executable (test-tokenizer-0-falcon test-tokenizer-0-falcon.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-falcon.gguf)
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llama_build_executable(test-tokenizer-1-llama.cpp)
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llama_test_executable (test-tokenizer-1-llama test-tokenizer-1-llama.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama.gguf)
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#llama_test_executable(test-tokenizer-1.aquila test-tokenizer-1.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-aquila.gguf)
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llama_build_executable(test-tokenizer-1-bpe.cpp)
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llama_test_executable (test-tokenizer-1-falcon test-tokenizer-1-bpe.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-falcon.gguf)
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llama_test_executable(test-tokenizer-1-aquila test-tokenizer-1-bpe.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-aquila.gguf)
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llama_build_and_test_executable(test-grammar-parser.cpp)
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llama_build_and_test_executable(test-llama-grammar.cpp)
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llama_build_and_test_executable(test-grad0.cpp) # SLOW
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@ -1,5 +1,6 @@
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#include "llama.h"
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#include "common.h"
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#include "console.h"
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#include <cstdio>
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#include <string>
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@ -85,12 +86,18 @@ int main(int argc, char **argv) {
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}
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if (llama_vocab_type(model) != LLAMA_VOCAB_TYPE_BPE) {
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fprintf(stderr, "%s : error: vocab type is not SPM\n", __func__);
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fprintf(stderr, "%s : error: vocab type is not BPE\n", __func__);
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llama_free_model(model);
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llama_free(ctx);
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return 2;
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}
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#ifdef _WIN32
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// We need this for unicode console support
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console::init(false, false);
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atexit([]() { console::cleanup(); });
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#endif
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bool success = true;
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for (const auto & test_kv : k_tests()) {
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113
tests/test-tokenizer-1-bpe.cpp
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113
tests/test-tokenizer-1-bpe.cpp
Normal file
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@ -0,0 +1,113 @@
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#include "llama.h"
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#include "common.h"
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#include "unicode.h"
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#include "console.h"
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#include <cassert>
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#include <cstdio>
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#include <cstring>
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#include <string>
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#include <codecvt>
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#include <map>
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#include <vector>
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#include <locale>
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int main(int argc, char **argv) {
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if (argc < 2) {
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fprintf(stderr, "Usage: %s <vocab-file>\n", argv[0]);
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return 1;
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}
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const std::string fname = argv[1];
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fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
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llama_model * model;
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llama_context * ctx;
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llama_backend_init(false);
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// load the vocab
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{
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auto mparams = llama_model_default_params();
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mparams.vocab_only = true;
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model = llama_load_model_from_file(fname.c_str(), mparams);
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if (model == NULL) {
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fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
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return 1;
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}
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auto cparams = llama_context_default_params();
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ctx = llama_new_context_with_model(model, cparams);
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if (ctx == NULL) {
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fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
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llama_free_model(model);
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return 1;
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}
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}
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GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_BPE);
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#ifdef _WIN32
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// We need this for unicode console support
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console::init(false, false);
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atexit([]() { console::cleanup(); });
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#endif
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const int n_vocab = llama_n_vocab(model);
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for (int i = 0; i < n_vocab; ++i) {
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std::string str = llama_detokenize_bpe(ctx, std::vector<int>(1, i));
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try {
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auto cps = codepoints_from_utf8(str);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_bpe(ctx, tokens);
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if (check != str) {
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fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",
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__func__, i, str.c_str(), str.length(), check.c_str(), check.length());
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return 2;
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}
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}
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catch (const std::invalid_argument &) {
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fprintf(stderr, "%s : info: utf8 conversion %d '%s'\n", __func__, i, str.c_str());
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}
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}
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for (uint32_t cp = 0x0000; cp < 0xffff; ++cp) {
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// NOTE: these exceptions seem to be necessary, because the GPT2 tokenizer doesn't want to interfere with some ASCII control characters
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if ((cp < 0x03 || cp > 0x05) && cp != 0x0b && cp != 0x11 && (cp < 0x13 || cp > 0x17) && cp != 0x19 && (cp < 0x1c || cp > 0x1e) && (cp < 0xd800 || cp > 0xdfff)) {
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std::string str = " " + codepoint_to_utf8(cp);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_bpe(ctx, tokens);
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if (str != check) {
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fprintf(stderr, "%s : error: codepoint %x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
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__func__, cp, check.c_str(), check.length(), str.c_str(), str.length());
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return 3;
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}
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}
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}
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// TODO: why doesn't this work for the full range of Unicodes?
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// for (uint32_t cp = 0x10000; cp < 0x0010ffff; ++cp) {
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for (uint32_t cp = 0x10000; cp < 0x00080000; ++cp) {
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std::string str = codepoint_to_utf8(cp);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_bpe(ctx, tokens);
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if (str != check) {
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fprintf(stderr, "%s : error: codepoint %x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
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__func__, cp, check.c_str(), check.length(), str.c_str(), str.length());
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return 4;
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}
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}
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llama_free_model(model);
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llama_free(ctx);
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llama_backend_free();
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return 0;
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}
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@ -1,5 +1,6 @@
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#include "llama.h"
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#include "common.h"
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#include "unicode.h"
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#include "console.h"
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#include <cassert>
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@ -11,30 +12,6 @@
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#include <vector>
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#include <locale>
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typedef int codepoint;
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static std::string codepoint_to_utf8(codepoint cp) {
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std::string result;
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if (0x00 <= cp && cp <= 0x7f) {
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result.push_back(cp);
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} else if (0x80 <= cp && cp <= 0x7ff) {
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result.push_back(0xc0 | ((cp >> 6) & 0x1f));
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result.push_back(0x80 | (cp & 0x3f));
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} else if (0x800 <= cp && cp <= 0xffff) {
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result.push_back(0xe0 | ((cp >> 12) & 0x0f));
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result.push_back(0x80 | ((cp >> 6) & 0x3f));
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result.push_back(0x80 | (cp & 0x3f));
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} else if (0x10000 <= cp && cp <= 0x10ffff) {
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result.push_back(0xf0 | ((cp >> 18) & 0x07));
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result.push_back(0x80 | ((cp >> 12) & 0x3f));
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result.push_back(0x80 | ((cp >> 6) & 0x3f));
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result.push_back(0x80 | (cp & 0x3f));
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} else {
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throw std::invalid_argument("invalid codepoint");
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}
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return result;
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}
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int main(int argc, char **argv) {
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if (argc < 2) {
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fprintf(stderr, "Usage: %s <vocab-file>\n", argv[0]);
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}
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}
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for (codepoint cp = 0x0000; cp < 0xffff; ++cp) {
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for (uint32_t cp = 0x0000; cp < 0xffff; ++cp) {
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if (cp < 0xd800 || cp > 0xdfff) {
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std::string str = codepoint_to_utf8(cp);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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@ -107,7 +84,7 @@ int main(int argc, char **argv) {
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}
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}
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}
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for (codepoint cp = 0x10000; cp < 0x0010ffff; ++cp) {
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for (uint32_t cp = 0x10000; cp < 0x0010ffff; ++cp) {
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std::string str = codepoint_to_utf8(cp);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_spm(ctx, tokens);
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