mirror of
https://git.adityakumar.xyz/llama.cpp.git
synced 2024-11-14 00:59:43 +00:00
7b8dbcb78b
- main: entering empty line passes back control without new input in interactive/instruct modes - instruct mode: keep prompt fix - instruct mode: duplicate instruct prompt fix - refactor: move common console code from main->common
454 lines
16 KiB
C++
454 lines
16 KiB
C++
#include "common.h"
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#include "llama.h"
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#include <cassert>
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#include <cinttypes>
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#include <cmath>
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#include <cstdio>
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#include <cstring>
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#include <fstream>
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#include <iostream>
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#include <string>
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#include <vector>
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#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
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#include <signal.h>
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#include <unistd.h>
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#elif defined (_WIN32)
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#include <signal.h>
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#endif
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static console_state con_st;
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static bool is_interacting = false;
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#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
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void sigint_handler(int signo) {
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set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
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printf("\n"); // this also force flush stdout.
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if (signo == SIGINT) {
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if (!is_interacting) {
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is_interacting=true;
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} else {
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_exit(130);
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}
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}
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}
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#endif
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int main(int argc, char ** argv) {
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gpt_params params;
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params.model = "models/llama-7B/ggml-model.bin";
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if (gpt_params_parse(argc, argv, params) == false) {
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return 1;
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}
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// save choice to use color for later
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// (note for later: this is a slightly awkward choice)
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con_st.use_color = params.use_color;
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#if defined (_WIN32)
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win32_console_init(params.use_color);
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#endif
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if (params.perplexity) {
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printf("\n************\n");
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printf("%s: please use the 'perplexity' tool for perplexity calculations\n", __func__);
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printf("************\n\n");
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return 0;
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}
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if (params.embedding) {
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printf("\n************\n");
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printf("%s: please use the 'embedding' tool for embedding calculations\n", __func__);
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printf("************\n\n");
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return 0;
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}
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if (params.n_ctx > 2048) {
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fprintf(stderr, "%s: warning: model does not support context sizes greater than 2048 tokens (%d specified);"
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"expect poor results\n", __func__, params.n_ctx);
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}
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if (params.seed <= 0) {
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params.seed = time(NULL);
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}
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fprintf(stderr, "%s: seed = %d\n", __func__, params.seed);
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std::mt19937 rng(params.seed);
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if (params.random_prompt) {
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params.prompt = gpt_random_prompt(rng);
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}
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// params.prompt = R"(// this function checks if the number n is prime
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//bool is_prime(int n) {)";
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llama_context * ctx;
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// load the model
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{
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auto lparams = llama_context_default_params();
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lparams.n_ctx = params.n_ctx;
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lparams.n_parts = params.n_parts;
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lparams.seed = params.seed;
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lparams.f16_kv = params.memory_f16;
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lparams.use_mlock = params.use_mlock;
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ctx = llama_init_from_file(params.model.c_str(), lparams);
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if (ctx == NULL) {
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fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str());
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return 1;
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}
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}
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// print system information
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{
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fprintf(stderr, "\n");
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fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
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params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info());
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}
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// determine the maximum memory usage needed to do inference for the given n_batch and n_predict parameters
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// uncomment the "used_mem" line in llama.cpp to see the results
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if (params.mem_test) {
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{
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const std::vector<llama_token> tmp(params.n_batch, 0);
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llama_eval(ctx, tmp.data(), tmp.size(), 0, params.n_threads);
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}
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{
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const std::vector<llama_token> tmp = { 0, };
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llama_eval(ctx, tmp.data(), tmp.size(), params.n_predict - 1, params.n_threads);
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}
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llama_print_timings(ctx);
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llama_free(ctx);
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return 0;
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}
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// Add a space in front of the first character to match OG llama tokenizer behavior
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params.prompt.insert(0, 1, ' ');
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// tokenize the prompt
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auto embd_inp = ::llama_tokenize(ctx, params.prompt, true);
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const int n_ctx = llama_n_ctx(ctx);
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if ((int) embd_inp.size() > n_ctx - 4) {
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fprintf(stderr, "%s: error: prompt is too long (%d tokens, max %d)\n", __func__, (int) embd_inp.size(), n_ctx - 4);
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return 1;
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}
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// number of tokens to keep when resetting context
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if (params.n_keep < 0 || params.n_keep > (int)embd_inp.size() || params.instruct) {
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params.n_keep = (int)embd_inp.size();
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}
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// prefix & suffix for instruct mode
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const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true);
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const auto inp_sfx = ::llama_tokenize(ctx, "\n\n### Response:\n\n", false);
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// in instruct mode, we inject a prefix and a suffix to each input by the user
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if (params.instruct) {
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params.interactive_start = true;
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params.antiprompt.push_back("### Instruction:\n\n");
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}
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// enable interactive mode if reverse prompt or interactive start is specified
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if (params.antiprompt.size() != 0 || params.interactive_start) {
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params.interactive = true;
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}
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// determine newline token
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auto llama_token_newline = ::llama_tokenize(ctx, "\n", false);
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if (params.verbose_prompt) {
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fprintf(stderr, "\n");
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fprintf(stderr, "%s: prompt: '%s'\n", __func__, params.prompt.c_str());
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fprintf(stderr, "%s: number of tokens in prompt = %zu\n", __func__, embd_inp.size());
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for (int i = 0; i < (int) embd_inp.size(); i++) {
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fprintf(stderr, "%6d -> '%s'\n", embd_inp[i], llama_token_to_str(ctx, embd_inp[i]));
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}
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if (params.n_keep > 0) {
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fprintf(stderr, "%s: static prompt based on n_keep: '", __func__);
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for (int i = 0; i < params.n_keep; i++) {
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fprintf(stderr, "%s", llama_token_to_str(ctx, embd_inp[i]));
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}
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fprintf(stderr, "'\n");
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}
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fprintf(stderr, "\n");
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}
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if (params.interactive) {
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#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
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struct sigaction sigint_action;
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sigint_action.sa_handler = sigint_handler;
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sigemptyset (&sigint_action.sa_mask);
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sigint_action.sa_flags = 0;
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sigaction(SIGINT, &sigint_action, NULL);
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#elif defined (_WIN32)
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signal(SIGINT, sigint_handler);
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#endif
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fprintf(stderr, "%s: interactive mode on.\n", __func__);
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if (params.antiprompt.size()) {
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for (auto antiprompt : params.antiprompt) {
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fprintf(stderr, "Reverse prompt: '%s'\n", antiprompt.c_str());
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}
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}
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if (!params.input_prefix.empty()) {
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fprintf(stderr, "Input prefix: '%s'\n", params.input_prefix.c_str());
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}
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}
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fprintf(stderr, "sampling: temp = %f, top_k = %d, top_p = %f, repeat_last_n = %i, repeat_penalty = %f\n", params.temp, params.top_k, params.top_p, params.repeat_last_n, params.repeat_penalty);
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fprintf(stderr, "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);
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fprintf(stderr, "\n\n");
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// TODO: replace with ring-buffer
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std::vector<llama_token> last_n_tokens(n_ctx);
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std::fill(last_n_tokens.begin(), last_n_tokens.end(), 0);
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if (params.interactive) {
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fprintf(stderr, "== Running in interactive mode. ==\n"
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#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
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" - Press Ctrl+C to interject at any time.\n"
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#endif
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" - Press Return to return control to LLaMa.\n"
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" - If you want to submit another line, end your input in '\\'.\n\n");
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is_interacting = params.interactive_start;
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}
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bool is_antiprompt = false;
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bool input_noecho = false;
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int n_past = 0;
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int n_remain = params.n_predict;
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int n_consumed = 0;
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// the first thing we will do is to output the prompt, so set color accordingly
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set_console_color(con_st, CONSOLE_COLOR_PROMPT);
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std::vector<llama_token> embd;
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while (n_remain != 0 || params.interactive) {
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// predict
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if (embd.size() > 0) {
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// infinite text generation via context swapping
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// if we run out of context:
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// - take the n_keep first tokens from the original prompt (via n_past)
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// - take half of the last (n_ctx - n_keep) tokens and recompute the logits in a batch
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if (n_past + (int) embd.size() > n_ctx) {
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const int n_left = n_past - params.n_keep;
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n_past = params.n_keep;
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// insert n_left/2 tokens at the start of embd from last_n_tokens
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embd.insert(embd.begin(), last_n_tokens.begin() + n_ctx - n_left/2 - embd.size(), last_n_tokens.end() - embd.size());
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//printf("\n---\n");
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//printf("resetting: '");
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//for (int i = 0; i < (int) embd.size(); i++) {
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// printf("%s", llama_token_to_str(ctx, embd[i]));
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//}
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//printf("'\n");
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//printf("\n---\n");
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}
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if (llama_eval(ctx, embd.data(), embd.size(), n_past, params.n_threads)) {
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fprintf(stderr, "%s : failed to eval\n", __func__);
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return 1;
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}
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}
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n_past += embd.size();
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embd.clear();
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if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
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// out of user input, sample next token
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const float top_k = params.top_k;
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const float top_p = params.top_p;
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const float temp = params.temp;
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const float repeat_penalty = params.repeat_penalty;
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llama_token id = 0;
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{
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auto logits = llama_get_logits(ctx);
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if (params.ignore_eos) {
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logits[llama_token_eos()] = 0;
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}
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id = llama_sample_top_p_top_k(ctx,
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last_n_tokens.data() + n_ctx - params.repeat_last_n,
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params.repeat_last_n, top_k, top_p, temp, repeat_penalty);
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.push_back(id);
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}
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// replace end of text token with newline token when in interactive mode
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if (id == llama_token_eos() && params.interactive && !params.instruct) {
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id = llama_token_newline.front();
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if (params.antiprompt.size() != 0) {
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// tokenize and inject first reverse prompt
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const auto first_antiprompt = ::llama_tokenize(ctx, params.antiprompt.front(), false);
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embd_inp.insert(embd_inp.end(), first_antiprompt.begin(), first_antiprompt.end());
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}
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}
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// add it to the context
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embd.push_back(id);
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// echo this to console
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input_noecho = false;
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// decrement remaining sampling budget
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--n_remain;
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} else {
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// some user input remains from prompt or interaction, forward it to processing
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while ((int) embd_inp.size() > n_consumed) {
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embd.push_back(embd_inp[n_consumed]);
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.push_back(embd_inp[n_consumed]);
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++n_consumed;
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if ((int) embd.size() >= params.n_batch) {
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break;
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}
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}
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}
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// display text
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if (!input_noecho) {
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for (auto id : embd) {
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printf("%s", llama_token_to_str(ctx, id));
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}
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fflush(stdout);
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}
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// reset color to default if we there is no pending user input
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if (!input_noecho && (int)embd_inp.size() == n_consumed) {
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set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
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}
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// in interactive mode, and not currently processing queued inputs;
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// check if we should prompt the user for more
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if (params.interactive && (int) embd_inp.size() <= n_consumed) {
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// check for reverse prompt
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if (params.antiprompt.size()) {
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std::string last_output;
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for (auto id : last_n_tokens) {
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last_output += llama_token_to_str(ctx, id);
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}
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is_antiprompt = false;
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// Check if each of the reverse prompts appears at the end of the output.
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for (std::string & antiprompt : params.antiprompt) {
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if (last_output.find(antiprompt.c_str(), last_output.length() - antiprompt.length(), antiprompt.length()) != std::string::npos) {
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is_interacting = true;
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is_antiprompt = true;
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set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
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fflush(stdout);
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break;
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}
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}
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}
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if (n_past > 0 && is_interacting) {
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// potentially set color to indicate we are taking user input
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set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
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if (params.instruct) {
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printf("\n> ");
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}
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std::string buffer;
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if (!params.input_prefix.empty()) {
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buffer += params.input_prefix;
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printf("%s", buffer.c_str());
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}
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std::string line;
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bool another_line = true;
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do {
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if (!std::getline(std::cin, line)) {
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// input stream is bad or EOF received
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return 0;
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}
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if (line.empty() || line.back() != '\\') {
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another_line = false;
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} else {
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line.pop_back(); // Remove the continue character
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}
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buffer += line + '\n'; // Append the line to the result
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} while (another_line);
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// done taking input, reset color
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set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
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// Add tokens to embd only if the input buffer is non-empty
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// Entering a empty line lets the user pass control back
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if (buffer.length() > 1) {
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// instruct mode: insert instruction prefix
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if (params.instruct && !is_antiprompt) {
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n_consumed = embd_inp.size();
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embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
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}
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auto line_inp = ::llama_tokenize(ctx, buffer, false);
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embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end());
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// instruct mode: insert response suffix
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if (params.instruct) {
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embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
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}
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n_remain -= line_inp.size();
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}
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input_noecho = true; // do not echo this again
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}
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if (n_past > 0) {
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is_interacting = false;
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}
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}
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// end of text token
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if (embd.back() == llama_token_eos()) {
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if (params.instruct) {
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is_interacting = true;
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} else {
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fprintf(stderr, " [end of text]\n");
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break;
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}
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}
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// In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
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if (params.interactive && n_remain <= 0 && params.n_predict != -1) {
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n_remain = params.n_predict;
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is_interacting = true;
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}
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}
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#if defined (_WIN32)
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signal(SIGINT, SIG_DFL);
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#endif
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llama_print_timings(ctx);
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llama_free(ctx);
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set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
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return 0;
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}
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