llama.cpp/examples/tokenize/tokenize.cpp

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#include "common.h"
#include "llama.h"
#include <cmath>
#include <cstdio>
#include <fstream>
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#include <string>
#include <vector>
#if defined(_WIN32)
#define WIN32_LEAN_AND_MEAN
#include <windows.h>
#include <shellapi.h> // For CommandLineToArgvW
#endif
static void print_usage_information(const char * argv0, FILE * stream) {
fprintf(stream, "usage: %s [options]\n\n", argv0);
fprintf(stream, "The tokenize program tokenizes a prompt using a given model,\n");
fprintf(stream, "and prints the resulting tokens to standard output.\n\n");
fprintf(stream, "It needs a model file, a prompt, and optionally other flags\n");
fprintf(stream, "to control the behavior of the tokenizer.\n\n");
fprintf(stream, " The possible options are:\n");
fprintf(stream, "\n");
fprintf(stream, " -h, --help print this help and exit\n");
fprintf(stream, " -m MODEL_PATH, --model MODEL_PATH path to model.\n");
fprintf(stream, " --ids if given, only print numerical token IDs, and not token strings.\n");
fprintf(stream, " The output format looks like [1, 2, 3], i.e. parseable by Python.\n");
fprintf(stream, " -f PROMPT_FNAME, --file PROMPT_FNAME read prompt from a file.\n");
fprintf(stream, " -p PROMPT, --prompt PROMPT read prompt from the argument.\n");
fprintf(stream, " --stdin read prompt from standard input.\n");
fprintf(stream, " --no-bos do not ever add a BOS token to the prompt, even if normally the model uses a BOS token.\n");
fprintf(stream, " --log-disable disable logs. Makes stderr quiet when loading the model.\n");
}
static void llama_log_callback_null(ggml_log_level level, const char * text, void * user_data) {
(void) level;
(void) text;
(void) user_data;
}
static std::string read_prompt_from_file(const char * filepath, bool & success) {
success = false;
std::ifstream in(filepath, std::ios::binary);
if (!in) {
fprintf(stderr, "%s: could not open file '%s' for reading: %s\n", __func__, filepath, strerror(errno));
return std::string();
}
// do not assume the file is seekable (e.g. /dev/stdin)
std::stringstream buffer;
buffer << in.rdbuf();
if (in.fail()) {
fprintf(stderr, "%s: could not read the entire file '%s': %s\n", __func__, filepath, strerror(errno));
return std::string();
}
success = true;
return buffer.str();
}
//
// Function: ingest_args(...) -> vector<string>
//
// Takes argc and argv arguments, and converts them to a vector of UTF-8 encoded
// strings, as an STL vector<string>.
//
// In particular, it handles character encoding shenanigans on Windows.
//
// Note: raw_argc and raw_argv are not actually read at all on Windows.
// On Windows we call GetCommandLineW to get the arguments in wchar_t
// format, ignoring the regular argc/argv arguments to main().
//
// TODO: potential opportunity to roll common stuff into common/console.cpp
// in relation to Windows wchar_t shenanigans.
static std::vector<std::string> ingest_args(int raw_argc, char ** raw_argv) {
std::vector<std::string> argv;
// Handle Windows, if given non-ASCII arguments.
// We convert wchar_t arguments into UTF-8 char* on this platform.
// Lets you invoke 'tokenize' on Windows cmd.exe with non-ASCII characters
// without throwing tantrums.
#if defined(_WIN32)
int argc;
const LPWSTR cmdline_wargv = GetCommandLineW();
LPWSTR * wargv = CommandLineToArgvW(cmdline_wargv, &argc);
// silence unused arg warnings
(void) raw_argc;
(void) raw_argv;
for (int i = 0; i < argc; ++i) {
int length_needed = WideCharToMultiByte(CP_UTF8, 0, wargv[i], wcslen(wargv[i]), 0, 0, NULL, NULL);
char * output_buf = (char *) calloc(length_needed+1, sizeof(char));
GGML_ASSERT(output_buf);
WideCharToMultiByte(CP_UTF8, 0, wargv[i], wcslen(wargv[i]), output_buf, length_needed, NULL, NULL);
output_buf[length_needed] = '\0';
argv.push_back(output_buf);
free(output_buf);
}
LocalFree((HLOCAL) wargv);
#else
int argc = raw_argc;
for (int i = 0; i < argc; ++i) {
argv.push_back(raw_argv[i]);
}
#endif
GGML_ASSERT((unsigned int) argc == argv.size());
return argv;
}
//
// Function: write_utf8_cstr_to_stdout(const char *) -> <writes to stdout>
//
// writes a string to standard output; taking into account that on Windows
// to display correctly you have to use special handling. Works even if the
// user has not set a unicode code page on a Windows cmd.exe.
//
// In case of invalid UTF-8, invalid_utf8 is set to true on Windows, and something
// a human-readable is written instead.
//
// On non-Windows systems, simply printfs() the string.
static void write_utf8_cstr_to_stdout(const char * str, bool & invalid_utf8) {
invalid_utf8 = false;
#if defined(_WIN32)
// Are we in a console?
HANDLE hConsole = GetStdHandle(STD_OUTPUT_HANDLE);
DWORD dwMode = 0;
// According to Microsoft docs:
// "WriteConsole fails if it is used with a standard handle that is redirected to a file."
// Also according to the docs, you can use GetConsoleMode to check for that.
if (hConsole == INVALID_HANDLE_VALUE || !GetConsoleMode(hConsole, &dwMode)) {
printf("%s", str);
return;
}
// MultiByteToWideChar reports an error if str is empty, don't report
// them as invalid_utf8.
if (*str == 0) {
return;
}
int length_needed = MultiByteToWideChar(CP_UTF8, MB_ERR_INVALID_CHARS, str, strlen(str), NULL, 0);
if (length_needed == 0) {
DWORD err = GetLastError();
if (err == ERROR_NO_UNICODE_TRANSLATION) {
invalid_utf8 = true;
int len = strlen(str);
printf("<");
for (int i = 0; i < len; ++i) {
if (i > 0) {
printf(" ");
}
printf("%02x", (uint8_t) str[i]);
}
printf(">");
return;
}
GGML_ASSERT(false && "MultiByteToWideChar() failed in an unexpected way.");
}
LPWSTR wstr = (LPWSTR) calloc(length_needed+1, sizeof(*wstr));
GGML_ASSERT(wstr);
MultiByteToWideChar(CP_UTF8, 0, str, strlen(str), wstr, length_needed);
WriteConsoleW(hConsole, wstr, length_needed, NULL, NULL);
free(wstr);
#else
// TODO: reporting invalid_utf8 would be useful on non-Windows too.
// printf will silently just write bad unicode.
printf("%s", str);
#endif
}
int main(int raw_argc, char ** raw_argv) {
const std::vector<std::string> argv = ingest_args(raw_argc, raw_argv);
const int argc = argv.size();
if (argc <= 1) {
print_usage_information(argv[0].c_str(), stderr);
return 1;
}
//////
// Read out all the command line arguments.
//////
// variables where to put any arguments we see.
bool printing_ids = false;
bool no_bos = false;
bool disable_logging = false;
const char * model_path = NULL;
const char * prompt_path = NULL;
const char * prompt_arg = NULL;
// track which arguments were explicitly given
// used for sanity checking down the line
bool model_path_set = false;
bool prompt_path_set = false;
bool prompt_set = false;
bool stdin_set = false;
int iarg = 1;
for (; iarg < argc; ++iarg) {
std::string arg{argv[iarg]};
if (arg == "-h" || arg == "--help") {
print_usage_information(argv[0].c_str(), stdout);
return 0;
}
else if (arg == "--ids") {
printing_ids = true;
}
else if (arg == "-m" || arg == "--model") {
if (model_path_set) {
fprintf(stderr, "Error: -m or --model specified multiple times.\n");
return 1;
}
model_path = argv[++iarg].c_str();
model_path_set = true;
}
else if (arg == "--no-bos") {
no_bos = true;
}
else if (arg == "-p" || arg == "--prompt") {
if (prompt_set) {
fprintf(stderr, "Error: -p or --prompt specified multiple times.\n");
return 1;
}
prompt_arg = argv[++iarg].c_str();
prompt_set = true;
}
else if (arg == "-f" || arg == "--file") {
if (prompt_path_set) {
fprintf(stderr, "Error: -f or --file specified multiple times.\n");
return 1;
}
prompt_path = argv[++iarg].c_str();
prompt_path_set = true;
}
else if (arg == "--stdin") {
stdin_set = true;
}
else if (arg == "--log-disable") {
disable_logging = true;
}
else {
fprintf(stderr, "Error: unknown option '%s'\n", argv[iarg].c_str());
return 1;
}
}
//////
// Sanity check the command line arguments.
//////
// Check that we have the required stuff set.
if (model_path_set && model_path == NULL) {
fprintf(stderr, "Error: --model requires an argument.\n");
return 1;
}
if (!model_path_set) {
fprintf(stderr, "Error: must specify --model.\n");
return 1;
}
if (prompt_path_set && prompt_path == NULL) {
fprintf(stderr, "Error: --file requires an argument.\n");
return 1;
}
if (prompt_set && prompt_arg == NULL) {
fprintf(stderr, "Error: --prompt requires an argument.\n");
return 1;
}
const int prompts_set = !!(prompt_path_set) + !!(prompt_set) + !!(stdin_set);
if (prompts_set > 1) {
fprintf(stderr, "Error: --stdin, --file and --prompt are mutually exclusive.\n");
return 1;
}
// Must have some prompt.
if (prompts_set == 0) {
fprintf(stderr, "Error: must specify one of: --stdin, --file or --prompt.\n");
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return 1;
}
GGML_ASSERT(model_path);
GGML_ASSERT(prompt_path || prompt_arg || stdin_set);
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//////
// Figure out where will the prompt come from.
//////
std::string prompt;
if (prompt_path_set) {
bool success = false;
prompt = read_prompt_from_file(prompt_path, success);
if (!success) {
return 1;
}
} else if (prompt_set) {
prompt = prompt_arg;
} else {
GGML_ASSERT(stdin_set);
// we read stdin *after* loading model (early exit if model cannot
// be loaded, which can be a nicer user experience)
}
//////
// Start actually doing the tokenizing stuff.
//////
#ifdef LOG_DISABLE_LOGS
disable_logging = true;
#endif
if (disable_logging) {
llama_log_set(llama_log_callback_null, NULL);
}
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ggml : add numa options (#5377) * Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h * Reverted Makefile * Fixed include * Removed sched.h from ggml.h, moved ggml_get_numa_affinity into ggml.c, removed trailing whitespace and fixed up a few inconsistent variables * removed trailing whitespace * Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h * Reverting Makefile * Fixed a number of issues with the move from BOOL to ggml_numa_strategies. Added a note about mirror mode note being implemented yet * Removing MIRROR_MODE code for this PR * Removing last bit of MIRROR_MODE code for this PR * Removing unneeded branch in server.cpp example and moving get_numa_affinity and making it static * Fixed lingering init_llama_backend() bool calls in tests and examples * Remote enum llama_numa_strategies * Revert bad merge with dynatemp flags * add missing enum ggml_numa_strategies declaration and revert sync problem with master * add missing enum ggml_numa_strategies declaration * fixed ggml_init_numa variable * Update ggml.h Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update READMEs with info about numa flags, change INTERLEAVE strategy name to DISTRIBUTE everywhere, implement the improved distribution strategy from @rankaiyx, fix a spelling mistake and un-merge some bad merges * split numa init out from llama_backend_init and created llama_numa_init. Updated all code paths and samples * Fix up some boolean vs enum comparisons * Added #ifdefs for non-Linux OS that don't have cpu_set_t datatype * Update ggml.h Align enum values Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update ggml.c Remove whitespace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update ggml.c align paremeters Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update examples/server/server.cpp remove whitespace and align brace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update common/common.cpp Remove whitespace and align brace Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * unified ggml_numa_strategy enum and fixed text alignment in server.cpp example * Update ggml.c simplified return for platforms without NUMA support Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * removed redundant else from cli argument processing of --numa * whitespace --------- Co-authored-by: root <root@nenya.lothlorien.ca> Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Jared Van Bortel <jared@nomic.ai>
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llama_backend_init();
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llama_model_params model_params = llama_model_default_params();
model_params.vocab_only = true;
llama_model * model = llama_load_model_from_file(model_path, model_params);
if (!model) {
fprintf(stderr, "Error: could not load model from file '%s'.\n", model_path);
return 1;
}
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llama_context_params ctx_params = llama_context_default_params();
llama_context * ctx = llama_new_context_with_model(model, ctx_params);
if (!ctx) {
fprintf(stderr, "Error: could not create context.\n");
return 1;
}
// read entire prompt from stdin?
if (stdin_set) {
GGML_ASSERT(!prompt_path_set && !prompt_set);
std::stringstream stdin_buffer;
stdin_buffer << std::cin.rdbuf();
if (std::cin.fail()) {
fprintf(stderr, "Error: could not read the entire standard input.\n");
return 1;
}
prompt = stdin_buffer.str();
}
const bool model_wants_add_bos = llama_should_add_bos_token(model);
const bool add_bos = model_wants_add_bos && !no_bos;
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std::vector<llama_token> tokens;
tokens = ::llama_tokenize(model, prompt, add_bos, true);
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if (printing_ids) {
printf("[");
}
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for (int i = 0; i < (int) tokens.size(); i++) {
if (printing_ids) {
if (i > 0) {
printf(", ");
}
printf("%d", tokens[i]);
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} else {
bool invalid_utf8 = false;
printf("%6d -> '", tokens[i]);
write_utf8_cstr_to_stdout(llama_token_to_piece(ctx, tokens[i]).c_str(), invalid_utf8);
if (invalid_utf8) {
printf("' (utf-8 decode failure)\n");
} else {
printf("'\n");
}
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}
}
if (printing_ids) {
printf("]\n");
}
// silence valgrind
llama_free(ctx);
llama_free_model(model);
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return 0;
}