+++ /dev/null
-#include "arg.h"
-#include "common.h"
-#include "console.h"
-#include "sampling.h"
-#include "log.h"
-#include "llama.h"
-
-#include <cassert>
-#include <cinttypes>
-#include <cmath>
-#include <cstdio>
-#include <cstring>
-#include <ctime>
-#include <fstream>
-#include <iostream>
-#include <sstream>
-#include <string>
-#include <vector>
-
-#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
-#include <signal.h>
-#include <unistd.h>
-#elif defined (_WIN32)
-#define WIN32_LEAN_AND_MEAN
-#ifndef NOMINMAX
-#define NOMINMAX
-#endif
-#include <windows.h>
-#include <signal.h>
-#endif
-
-#if defined(_MSC_VER)
-#pragma warning(disable: 4244 4267) // possible loss of data
-#endif
-
-static llama_context ** g_ctx;
-static llama_model ** g_model;
-static common_sampler ** g_smpl;
-static common_params * g_params;
-static std::vector<llama_token> * g_input_tokens;
-static std::ostringstream * g_output_ss;
-static std::vector<llama_token> * g_output_tokens;
-
-static bool is_interacting = false;
-
-#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
-static void sigint_handler(int signo) {
- if (signo == SIGINT) {
- if (!is_interacting) {
- is_interacting = true;
- } else {
- console::cleanup();
- LOG("\n");
- common_perf_print(*g_ctx, *g_smpl);
-
- // make sure all logs are flushed
- LOG("Interrupted by user\n");
- common_log_pause(common_log_main());
-
- _exit(130);
- }
- }
-}
-#endif
-
-int main(int argc, char ** argv) {
- common_params params;
- g_params = ¶ms;
-
- if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_INFILL)) {
- return 1;
- }
-
- common_init();
-
- auto & sparams = params.sampling;
-
- console::init(params.simple_io, params.use_color);
- atexit([]() { console::cleanup(); });
-
- if (params.logits_all) {
- LOG_ERR("\n************\n");
- LOG_ERR("%s: please use the 'perplexity' tool for perplexity calculations\n", __func__);
- LOG_ERR("************\n\n");
-
- return 0;
- }
-
- if (params.embedding) {
- LOG_ERR("\n************\n");
- LOG_ERR("%s: please use the 'embedding' tool for embedding calculations\n", __func__);
- LOG_ERR("************\n\n");
-
- return 0;
- }
-
- if (params.n_ctx != 0 && params.n_ctx < 8) {
- LOG_WRN("%s: minimum context size is 8, using minimum size.\n", __func__);
- params.n_ctx = 8;
- }
-
- if (!params.interactive_first && (params.input_prefix.empty() && params.input_suffix.empty())) {
- LOG_ERR("\n************\n");
- LOG_ERR("%s: please use '--interactive_first' or specify '--in_prefix' and/or '--in_suffix'\n", __func__);
- LOG_ERR("************\n\n");
-
- return 0;
- }
-
- if (params.rope_freq_base != 0.0) {
- LOG_WRN("%s: changing RoPE frequency base to %g.\n", __func__, params.rope_freq_base);
- }
-
- if (params.rope_freq_scale != 0.0) {
- LOG_WRN("%s: scaling RoPE frequency by %g.\n", __func__, params.rope_freq_scale);
- }
-
- LOG_INF("%s: llama backend init\n", __func__);
- llama_backend_init();
- llama_numa_init(params.numa);
-
- llama_model * model = nullptr;
- llama_context * ctx = nullptr;
- common_sampler * smpl = nullptr;
-
- g_model = &model;
- g_ctx = &ctx;
- g_smpl = &smpl;
-
- // load the model and apply lora adapter, if any
- LOG_INF("%s: load the model and apply lora adapter, if any\n", __func__);
- common_init_result llama_init = common_init_from_params(params);
-
- model = llama_init.model.get();
- ctx = llama_init.context.get();
-
- if (model == NULL) {
- LOG_ERR("%s: unable to load model\n", __func__);
- return 1;
- }
-
- const llama_vocab * vocab = llama_model_get_vocab(model);
-
- const int n_ctx_train = llama_model_n_ctx_train(model);
- const int n_ctx = llama_n_ctx(ctx);
- LOG_DBG("n_ctx: %d\n", n_ctx);
-
- if (n_ctx > n_ctx_train) {
- LOG_WRN("%s: model was trained on only %d context tokens (%d specified)\n", __func__, n_ctx_train, n_ctx);
- }
-
- // print system information
- {
- LOG_INF("\n");
- LOG_INF("%s\n", common_params_get_system_info(params).c_str());
- }
- const bool add_bos = llama_vocab_get_add_bos(vocab);
- GGML_ASSERT(!llama_vocab_get_add_eos(vocab));
-
- std::vector<llama_token> embd_inp;
- std::vector<llama_token> embd_end;
- std::vector<llama_token> inp_pfx = common_tokenize(ctx, params.input_prefix, false);
- std::vector<llama_token> inp_sfx = common_tokenize(ctx, params.input_suffix, false);
-
- GGML_ASSERT(llama_vocab_fim_pre(vocab) >= 0);
- GGML_ASSERT(llama_vocab_fim_suf(vocab) >= 0);
-
- inp_pfx.insert(inp_pfx.begin(), llama_vocab_fim_pre(vocab));
- inp_sfx.insert(inp_sfx.begin(), llama_vocab_fim_suf(vocab));
-
- embd_inp = params.spm_infill ? inp_sfx : inp_pfx;
- embd_end = params.spm_infill ? inp_pfx : inp_sfx;
- if (add_bos) {
- embd_inp.insert(embd_inp.begin(), llama_vocab_bos(vocab));
- }
- embd_inp.insert(embd_inp.end(), embd_end.begin(), embd_end.end());
-
- const llama_token middle_token = llama_vocab_fim_mid(vocab);
- if (middle_token >= 0) {
- embd_inp.push_back(middle_token);
- }
-
- LOG_DBG("add_bos: %d\n", add_bos);
- LOG_DBG("prefix: \"%s\"\n", params.input_prefix.c_str());
- LOG_DBG("suffix: \"%s\"\n", params.input_suffix.c_str());
- LOG_DBG("tokens: %s\n", string_from(ctx, embd_inp).c_str());
-
- // Should not run without any tokens
- if (embd_inp.empty()) {
- embd_inp.push_back(llama_vocab_bos(vocab));
- LOG_WRN("embd_inp was considered empty and bos was added: %s\n", string_from(ctx, embd_inp).c_str());
- }
-
- if ((int) embd_inp.size() > n_ctx - 4) {
- LOG_ERR("%s: prompt is too long (%d tokens, max %d)\n", __func__, (int) embd_inp.size(), n_ctx - 4);
- return 1;
- }
-
- // number of tokens to keep when resetting context
- if (params.n_keep < 0 || params.n_keep > (int) embd_inp.size()) {
- params.n_keep = (int)embd_inp.size();
- }
-
- LOG_INF("inp_pfx: %s\n", string_from(ctx, inp_pfx).c_str());
- LOG_INF("inp_sfx: %s\n", string_from(ctx, inp_sfx).c_str());
-
- // enable interactive mode if interactive start is specified
- if (params.interactive_first) {
- params.interactive = true;
- }
-
- if (params.verbose_prompt) {
- LOG_INF("\n");
- LOG_INF("%s: prompt: '%s'\n", __func__, params.prompt.c_str());
- LOG_INF("%s: number of tokens in prompt = %zu\n", __func__, embd_inp.size());
- for (int i = 0; i < (int) embd_inp.size(); i++) {
- LOG_INF("%6d -> '%s'\n", embd_inp[i], common_token_to_piece(ctx, embd_inp[i]).c_str());
- }
-
- if (params.n_keep > 0) {
- LOG_INF("%s: static prompt based on n_keep: '", __func__);
- for (int i = 0; i < params.n_keep; i++) {
- LOG_CNT("%s", common_token_to_piece(ctx, embd_inp[i]).c_str());
- }
- LOG_CNT("'\n");
- }
- LOG_INF("\n");
- }
-
- if (params.interactive) {
-#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
- struct sigaction sigint_action;
- sigint_action.sa_handler = sigint_handler;
- sigemptyset (&sigint_action.sa_mask);
- sigint_action.sa_flags = 0;
- sigaction(SIGINT, &sigint_action, NULL);
-#elif defined (_WIN32)
- auto console_ctrl_handler = +[](DWORD ctrl_type) -> BOOL {
- return (ctrl_type == CTRL_C_EVENT) ? (sigint_handler(SIGINT), true) : false;
- };
- SetConsoleCtrlHandler(reinterpret_cast<PHANDLER_ROUTINE>(console_ctrl_handler), true);
-#endif
-
- LOG_INF("%s: interactive mode on.\n", __func__);
-
- if (params.input_prefix_bos) {
- LOG_INF("Input prefix with BOS\n");
- }
-
- if (!params.input_prefix.empty()) {
- LOG_INF("Input prefix: '%s'\n", params.input_prefix.c_str());
- }
-
- if (!params.input_suffix.empty()) {
- LOG_INF("Input suffix: '%s'\n", params.input_suffix.c_str());
- }
- }
- smpl = common_sampler_init(model, sparams);
-
- LOG_INF("sampler seed: %u\n", common_sampler_get_seed(smpl));
- LOG_INF("sampler params: \n%s\n", sparams.print().c_str());
- LOG_INF("sampler chain: %s\n", common_sampler_print(smpl).c_str());
-
- LOG_INF("generate: n_ctx = %d, n_batch = %d, n_predict = %d, n_keep = %d\n", n_ctx, params.n_batch, params.n_predict, params.n_keep);
-
- LOG_INF("\n");
- LOG_INF("\n##### Infill mode #####\n\n");
- if (params.interactive) {
- const char *control_message;
- if (params.multiline_input) {
- control_message = " - To return control to LLaMA, end your input with '\\'.\n"
- " - To return control without starting a new line, end your input with '/'.\n";
- } else {
- control_message = " - Press Return to return control to LLaMA.\n"
- " - To return control without starting a new line, end your input with '/'.\n"
- " - If you want to submit another line, end your input with '\\'.\n";
- }
- LOG_INF("== Running in interactive mode. ==\n");
-#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
- LOG_INF( " - Press Ctrl+C to interject at any time.\n");
-#endif
- LOG_INF( "%s\n", control_message);
-
- is_interacting = params.interactive_first;
- }
-
- bool input_echo = true;
-
- int n_past = 0;
- int n_remain = params.n_predict;
- int n_consumed = 0;
-
- std::vector<int> input_tokens; g_input_tokens = &input_tokens;
- std::vector<int> output_tokens; g_output_tokens = &output_tokens;
- std::ostringstream output_ss; g_output_ss = &output_ss;
-
- // the first thing we will do is to output the prompt, so set color accordingly
- console::set_display(console::prompt);
-
- std::vector<llama_token> embd;
-
- while (n_remain != 0 || params.interactive) {
- // predict
- if (!embd.empty()) {
- // Note: n_ctx - 4 here is to match the logic for commandline prompt handling via
- // --prompt or --file which uses the same value.
- int max_embd_size = n_ctx - 4;
-
- // Ensure the input doesn't exceed the context size by truncating embd if necessary.
- if ((int) embd.size() > max_embd_size) {
- const int skipped_tokens = (int) embd.size() - max_embd_size;
- embd.resize(max_embd_size);
-
- console::set_display(console::error);
- LOG_WRN("<<input too long: skipped %d token%s>>", skipped_tokens, skipped_tokens != 1 ? "s" : "");
- console::set_display(console::reset);
- }
-
- // infinite text generation via context swapping
- // if we run out of context:
- // - take the n_keep first tokens from the original prompt (via n_past)
- // - take half of the last (n_ctx - n_keep) tokens and recompute the logits in batches
- if (n_past + (int) embd.size() > n_ctx) {
- if (params.n_predict == -2) {
- LOG_DBG("\n\n%s: context full and n_predict == -%d => stopping\n", __func__, params.n_predict);
- break;
- }
-
- const int n_left = n_past - params.n_keep - 1;
- const int n_discard = n_left/2;
-
- LOG_DBG("context full, swapping: n_past = %d, n_left = %d, n_ctx = %d, n_keep = %d, n_discard = %d\n",
- n_past, n_left, n_ctx, params.n_keep, n_discard);
-
- llama_kv_self_seq_rm (ctx, 0, params.n_keep + 1 , params.n_keep + n_discard + 1);
- llama_kv_self_seq_add(ctx, 0, params.n_keep + 1 + n_discard, n_past, -n_discard);
-
- n_past -= n_discard;
-
- LOG_DBG("after swap: n_past = %d\n", n_past);
-
- LOG_DBG("embd: %s\n", string_from(ctx, embd).c_str());
-
- }
-
- // evaluate tokens in batches
- // embd is typically prepared beforehand to fit within a batch, but not always
- for (int i = 0; i < (int) embd.size(); i += params.n_batch) {
- int n_eval = (int) embd.size() - i;
- if (n_eval > params.n_batch) {
- n_eval = params.n_batch;
- }
-
- LOG_DBG("eval: %s\n", string_from(ctx, embd).c_str());
-
- if (llama_decode(ctx, llama_batch_get_one(&embd[i], n_eval))) {
- LOG_ERR("%s : failed to eval\n", __func__);
- return 1;
- }
-
- n_past += n_eval;
-
- LOG_DBG("n_past = %d\n", n_past);
- }
-
- }
-
- embd.clear();
-
- if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
- const llama_token id = common_sampler_sample(smpl, ctx, -1);
-
- common_sampler_accept(smpl, id, true);
-
- // LOG_DBG("last: %s\n", string_from(ctx, smpl->prev.to_vector()).c_str());
-
- embd.push_back(id);
-
- // echo this to console
- input_echo = true;
-
- // decrement remaining sampling budget
- --n_remain;
-
- LOG_DBG("n_remain: %d\n", n_remain);
- } else {
- // some user input remains from prompt or interaction, forward it to processing
- LOG_DBG("embd_inp.size(): %d, n_consumed: %d\n", (int) embd_inp.size(), n_consumed);
- while ((int) embd_inp.size() > n_consumed) {
- embd.push_back(embd_inp[n_consumed]);
-
- // push the prompt in the sampling context in order to apply repetition penalties later
- // for the prompt, we don't apply grammar rules
- common_sampler_accept(smpl, embd_inp[n_consumed], false);
-
- ++n_consumed;
- if ((int) embd.size() >= params.n_batch) {
- break;
- }
- }
- }
-
- // display text
- if (input_echo) {
- for (auto id : embd) {
- const std::string token_str = common_token_to_piece(ctx, id);
- LOG("%s", token_str.c_str());
-
- if (embd.size() > 1) {
- input_tokens.push_back(id);
- } else {
- output_tokens.push_back(id);
- output_ss << token_str;
- }
- }
- }
- // reset color to default if we there is no pending user input
- if (input_echo && (int) embd_inp.size() == n_consumed) {
- console::set_display(console::reset);
- }
-
- // if not currently processing queued inputs;
- if ((int) embd_inp.size() <= n_consumed) {
- // deal with eot token in infill mode
- if ((common_sampler_last(smpl) == llama_vocab_eot(vocab) || is_interacting) && params.interactive){
- if (is_interacting && !params.interactive_first) {
- // print an eot token
- LOG("%s", common_token_to_piece(ctx, llama_vocab_eot(vocab)).c_str());
- }
- LOG("\n");
- console::set_display(console::user_input);
- std::string buffer;
- std::string line;
- bool another_line=true;
- // set a new prefix via stdin
- do {
- another_line = console::readline(line, params.multiline_input);
- buffer += line;
- } while (another_line);
- // check if we got an empty line, if so we use the old input
- if (!buffer.empty() && !(buffer.length() == 1 && buffer[0] == '\n')) {
- params.input_prefix = buffer;
- }
- buffer.clear();
- // set a new suffix via stdin
- do {
- another_line = console::readline(line, params.multiline_input);
- buffer += line;
- } while (another_line);
- // check if we got an empty line
- if (!buffer.empty() && !(buffer.length() == 1 && buffer[0] == '\n')) {
- params.input_suffix = buffer;
- }
- buffer.clear();
- // done taking input, reset color
- console::set_display(console::reset);
-
- if (params.escape) {
- //process escape sequences, for the initial prompt this is done in common.cpp when we load the params, but for the interactive mode we need to do it here
- string_process_escapes(params.input_prefix);
- string_process_escapes(params.input_suffix);
- }
-
- // tokenize new prefix and suffix
- std::vector<llama_token> inp_pfx = common_tokenize(ctx, params.input_prefix, false);
- std::vector<llama_token> inp_sfx = common_tokenize(ctx, params.input_suffix, false);
-
- inp_pfx.insert(inp_pfx.begin(), llama_vocab_fim_pre(vocab));
- inp_sfx.insert(inp_sfx.begin(), llama_vocab_fim_suf(vocab));
-
- embd_inp = params.spm_infill ? inp_sfx : inp_pfx;
- embd_end = params.spm_infill ? inp_pfx : inp_sfx;
- if (add_bos) {
- embd_inp.insert(embd_inp.begin(), llama_vocab_bos(vocab));
- }
- embd_inp.insert(embd_inp.end(), embd_end.begin(), embd_end.end());
-
- if (middle_token >= 0) {
- embd_inp.push_back(middle_token);
- }
-
- embd.clear();
- n_remain = params.n_predict;
- n_past = 0;
- n_consumed = 0;
- is_interacting = false;
- }
- // deal with end of generation tokens in interactive mode
- else if (llama_vocab_is_eog(vocab, common_sampler_last(smpl))) {
- LOG_DBG("found EOS token\n");
-
- if (params.interactive) {
-
- is_interacting = true;
- LOG("\n");
- console::set_display(console::user_input);
- }
- }
-
- if (n_past > 0 && is_interacting && !params.interactive) {
- LOG_DBG("waiting for user input\n");
-
- if (params.input_prefix_bos) {
- LOG_DBG("adding input prefix BOS token\n");
- embd_inp.push_back(llama_vocab_bos(vocab));
- }
-
- std::string buffer;
- if (!params.input_prefix.empty()) {
- LOG_DBG("appending input prefix: '%s'\n", params.input_prefix.c_str());
- buffer += params.input_prefix;
- LOG("%s", buffer.c_str());
- }
-
- std::string line;
- bool another_line = true;
- do {
- another_line = console::readline(line, params.multiline_input);
- buffer += line;
- } while (another_line);
-
- // done taking input, reset color
- console::set_display(console::reset);
-
- // Add tokens to embd only if the input buffer is non-empty
- // Entering a empty line lets the user pass control back
- if (buffer.length() > 1) {
- // append input suffix if any
- if (!params.input_suffix.empty()) {
- LOG_DBG("appending input suffix: '%s'\n", params.input_suffix.c_str());
- buffer += params.input_suffix;
- LOG("%s", params.input_suffix.c_str());
- }
-
- LOG_DBG("buffer: '%s'\n", buffer.c_str());
-
- const size_t original_size = embd_inp.size();
-
- const auto line_inp = common_tokenize(ctx, buffer, false);
- LOG_DBG("input tokens: %s\n", string_from(ctx, line_inp).c_str());
-
- embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end());
-
- for (size_t i = original_size; i < embd_inp.size(); ++i) {
- const llama_token token = embd_inp[i];
- output_tokens.push_back(token);
- output_ss << common_token_to_piece(ctx, token);
- }
-
- n_remain -= line_inp.size();
- LOG_DBG("n_remain: %d\n", n_remain);
- } else {
- LOG_DBG("empty line, passing control back\n");
- }
-
- input_echo = false; // do not echo this again
- }
-
- if (n_past > 0) {
- if (is_interacting) {
- common_sampler_reset(smpl);
- }
- is_interacting = false;
- }
- }
-
- // end of generation
- if (!embd.empty() && llama_vocab_is_eog(vocab, embd.back()) && !params.interactive) {
- break;
- }
-
- // In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
- // We skip this logic when n_predict == -1 (infinite) or -2 (stop at context size).
- if (params.interactive && n_remain <= 0 && params.n_predict >= 0) {
- n_remain = params.n_predict;
- is_interacting = true;
- }
- }
- if (!params.interactive && n_remain <= 0) {
- LOG("%s", common_token_to_piece(ctx, llama_vocab_eot(vocab)).c_str());
- }
-
- LOG("\n");
- common_perf_print(ctx, smpl);
-
- common_sampler_free(smpl);
- llama_backend_free();
-
- return 0;
-}
overview / pkg / ggml / sources / llama.cpp / commitdiff