From c90d135eb433cf0d40fb95e46a48d1391d2352b5 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Wed, 30 Aug 2023 12:52:46 +0300 Subject: examples : fix underscore in beam-search + .gitignore (close #2900) --- examples/beam-search/beam-search.cpp | 188 +++++++++++++++++++++++++++++++++++ 1 file changed, 188 insertions(+) create mode 100644 examples/beam-search/beam-search.cpp (limited to 'examples/beam-search/beam-search.cpp') diff --git a/examples/beam-search/beam-search.cpp b/examples/beam-search/beam-search.cpp new file mode 100644 index 00000000..42c7c725 --- /dev/null +++ b/examples/beam-search/beam-search.cpp @@ -0,0 +1,188 @@ +#ifndef _GNU_SOURCE +#define _GNU_SOURCE +#endif + +#include "common.h" +#include "llama.h" +#include "build-info.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) +#include +#include +#elif defined (_WIN32) +#define WIN32_LEAN_AND_MEAN +#define NOMINMAX +#include +#include +#endif + +// Used for debugging to print out beam tokens. +struct ostream_beam_view { + llama_context * ctx; + llama_beam_view beam_view; +}; +std::ostream& operator<<(std::ostream& os, const ostream_beam_view & obv) { + os << "p(" << obv.beam_view.p << ") eob(" << std::boolalpha << obv.beam_view.eob << ") tokens("; + for (size_t i = 0 ; i < obv.beam_view.n_tokens ; ++i) { + os << llama_token_to_piece(obv.ctx, obv.beam_view.tokens[i]); + } + return os << ')'; +} + +// Put here anything you want back in beam_search_callback(). +struct beam_search_callback_data { + llama_context * ctx; + std::vector response; +}; + +// In this case, end-of-beam (eob) is equivalent to end-of-sentence (eos) but this need not always be the same. +// For example, eob can be flagged due to maximum token length, stop words, etc. +bool is_at_eob(const beam_search_callback_data & callback_data, const llama_token * tokens, const size_t n_tokens) { + return n_tokens && tokens[n_tokens-1] == llama_token_eos(callback_data.ctx); +} + +// Function matching type llama_beam_search_callback_fn_t. +// Custom callback example is called each time the beams lengths increase: +// * Show progress by printing ',' following by number of convergent beam tokens if any. +// * When all beams converge to a common prefix, they are made available in beams_state.beams[0]. +// This is also called when the stop condition is met. +// Collect tokens into std::vector response which is pointed to by callback_data. +void beam_search_callback(void * callback_data_ptr, llama_beams_state beams_state) { + auto& callback_data = *static_cast(callback_data_ptr); + // Mark beams as EOS as needed. + for (size_t i = 0 ; i < beams_state.n_beams ; ++i) { + llama_beam_view& beam_view = beams_state.beam_views[i]; + if (!beam_view.eob && is_at_eob(callback_data, beam_view.tokens, beam_view.n_tokens)) { + beam_view.eob = true; + } + } + printf(","); // Show progress + if (const size_t n = beams_state.common_prefix_length) { + callback_data.response.resize(callback_data.response.size() + n); + assert(0u < beams_state.n_beams); + const llama_token * tokens = beams_state.beam_views[0].tokens; + std::copy(tokens, tokens + n, callback_data.response.end() - n); + printf("%lu", n); + } + fflush(stdout); +#if 1 // DEBUG: print current beams for this iteration + std::cout << "\n\nCurrent beams (last_call=" << beams_state.last_call << "):\n"; + for (size_t i = 0 ; i < beams_state.n_beams ; ++i) { + std::cout << "beams["< 3 ) + { + params.prompt = argv[3]; + } + + if ( params.prompt.empty() ) + { + params.prompt = "### Request:\nHow many countries are there?\n\n### Response:\n"; + } + + //--------------------------------- + // Init LLM : + //--------------------------------- + + llama_backend_init(params.numa); + + llama_model * model; + llama_context * ctx; + + std::tie(model, ctx) = llama_init_from_gpt_params( params ); + + if ( model == NULL ) + { + fprintf( stderr , "%s: error: unable to load model\n" , __func__ ); + return 1; + } + + //--------------------------------- + // Tokenize the prompt : + //--------------------------------- + + std::vector tokens_list = llama_tokenize(ctx, params.prompt, true); + + const size_t max_context_size = llama_n_ctx( ctx ); + const size_t max_tokens_list_size = max_context_size - 4 ; + + if (tokens_list.size() > max_tokens_list_size) + { + fprintf( stderr , "%s: error: prompt too long (%lu tokens, max %lu)\n" , + __func__ , tokens_list.size() , max_tokens_list_size ); + return 1; + } + + fprintf( stderr, "\n\n" ); + + // Print the tokens from the prompt : + + for( auto id : tokens_list ) + { + std::cout << llama_token_to_piece(ctx, id); + } + std::cout << std::flush; + + int n_past = llama_get_kv_cache_token_count(ctx); + if (llama_eval(ctx, tokens_list.data(), tokens_list.size(), n_past, params.n_threads)) + { + fprintf(stderr, "%s : failed to eval prompt.\n" , __func__ ); + return 1; + } + n_past += tokens_list.size(); + + beam_search_callback_data callback_data{ctx, {}}; + size_t const beam_width = static_cast(params.n_beams); + int const n_predict = 256; + llama_beam_search(ctx, beam_search_callback, &callback_data, beam_width, n_past, n_predict, params.n_threads); + + std::cout << "\n\n"; + for (llama_token const token_id : callback_data.response) { + std::cout << llama_token_to_piece(ctx,token_id); + } + std::cout << std::endl; + + llama_free( ctx ); + llama_free_model( model ); + + llama_backend_free(); + + return 0; +} -- cgit v1.2.3