Fix editorconfig
This commit is contained in:
Alisamar Husain
parent
2b50d21423
commit
d2af46e371
3 changed files with 8874 additions and 8969 deletions
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@ -2,8 +2,8 @@ set(TARGET server)
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add_executable(${TARGET} server.cpp)
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# Boost is needed for Crow
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find_package(Boost 1.81.0)
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include_directories(${Boost_INCLUDE_DIRS})
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find_package(Boost 1.81.0)
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include_directories(${Boost_INCLUDE_DIRS})
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target_link_libraries(${TARGET} ${Boost_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT})
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target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
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17010
examples/server/crow.h
17010
examples/server/crow.h
File diff suppressed because it is too large
Load diff
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@ -19,457 +19,523 @@
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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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#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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#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 llama_context ** g_ctx;
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static llama_context **g_ctx;
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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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llama_print_timings(*g_ctx);
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_exit(130);
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}
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}
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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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{
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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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{
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if (!is_interacting)
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{
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is_interacting = true;
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}
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else
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{
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llama_print_timings(*g_ctx);
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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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auto const BINDPORT = 8001;
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int run_llama(llama_context * ctx, gpt_params params, std::ostream * outfile) {
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if (!params.lora_adapter.empty()) {
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int err = llama_apply_lora_from_file(ctx,
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params.lora_adapter.c_str(),
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params.lora_base.empty() ? NULL : params.lora_base.c_str(),
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params.n_threads);
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if (err != 0) {
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fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
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return 1;
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}
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}
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int run_llama(llama_context *ctx, gpt_params params, std::ostream *outfile)
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{
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if (!params.lora_adapter.empty())
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{
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int err = llama_apply_lora_from_file(ctx,
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params.lora_adapter.c_str(),
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params.lora_base.empty() ? NULL : params.lora_base.c_str(),
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params.n_threads);
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if (err != 0)
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{
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fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
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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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// 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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// 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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{
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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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{
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const std::vector<llama_token> tmp = {
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0,
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};
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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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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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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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// 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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// 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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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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if ((int)embd_inp.size() > n_ctx - 4)
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{
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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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// 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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{
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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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// 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_first = true;
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params.antiprompt.push_back("### Instruction:\n\n");
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}
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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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{
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params.interactive_first = 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_first) {
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params.interactive = true;
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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_first)
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{
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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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// 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.verbose_prompt)
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{
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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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{
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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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{
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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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{
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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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if (params.interactive)
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{
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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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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.antiprompt.size())
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{
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for (auto antiprompt : params.antiprompt)
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{
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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",
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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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if (!params.input_prefix.empty())
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{
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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",
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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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// 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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if (params.interactive)
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{
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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_first;
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}
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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_first;
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}
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bool is_antiprompt = false;
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bool input_noecho = false;
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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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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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// 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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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 batches
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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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while (n_remain != 0 || params.interactive)
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{
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// predict
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if (embd.size() > 0)
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{
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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 batches
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if (n_past + (int)embd.size() > n_ctx)
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{
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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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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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// 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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// 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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// evaluate tokens in batches
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// embd is typically prepared beforehand to fit within a batch, but not always
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for (int i = 0; i < (int) embd.size(); i += params.n_batch) {
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int n_eval = (int) embd.size() - i;
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if (n_eval > params.n_batch) {
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n_eval = params.n_batch;
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}
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if (llama_eval(ctx, &embd[i], n_eval, 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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n_past += n_eval;
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}
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}
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// evaluate tokens in batches
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// 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;
|
||||
}
|
||||
if (llama_eval(ctx, &embd[i], n_eval, n_past, params.n_threads))
|
||||
{
|
||||
fprintf(stderr, "%s : failed to eval\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
n_past += n_eval;
|
||||
}
|
||||
}
|
||||
|
||||
embd.clear();
|
||||
embd.clear();
|
||||
|
||||
if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
|
||||
// out of user input, sample next token
|
||||
const int32_t top_k = params.top_k;
|
||||
const float top_p = params.top_p;
|
||||
const float temp = params.temp;
|
||||
const float repeat_penalty = params.repeat_penalty;
|
||||
if ((int)embd_inp.size() <= n_consumed && !is_interacting)
|
||||
{
|
||||
// out of user input, sample next token
|
||||
const int32_t top_k = params.top_k;
|
||||
const float top_p = params.top_p;
|
||||
const float temp = params.temp;
|
||||
const float repeat_penalty = params.repeat_penalty;
|
||||
|
||||
llama_token id = 0;
|
||||
llama_token id = 0;
|
||||
|
||||
{
|
||||
auto logits = llama_get_logits(ctx);
|
||||
{
|
||||
auto logits = llama_get_logits(ctx);
|
||||
|
||||
if (params.ignore_eos) {
|
||||
logits[llama_token_eos()] = 0;
|
||||
}
|
||||
if (params.ignore_eos)
|
||||
{
|
||||
logits[llama_token_eos()] = 0;
|
||||
}
|
||||
|
||||
id = llama_sample_top_p_top_k(ctx,
|
||||
last_n_tokens.data() + n_ctx - params.repeat_last_n,
|
||||
params.repeat_last_n, top_k, top_p, temp, repeat_penalty);
|
||||
id = llama_sample_top_p_top_k(ctx,
|
||||
last_n_tokens.data() + n_ctx - params.repeat_last_n,
|
||||
params.repeat_last_n, top_k, top_p, temp, repeat_penalty);
|
||||
|
||||
last_n_tokens.erase(last_n_tokens.begin());
|
||||
last_n_tokens.push_back(id);
|
||||
}
|
||||
last_n_tokens.erase(last_n_tokens.begin());
|
||||
last_n_tokens.push_back(id);
|
||||
}
|
||||
|
||||
// replace end of text token with newline token when in interactive mode
|
||||
if (id == llama_token_eos() && params.interactive && !params.instruct) {
|
||||
id = llama_token_newline.front();
|
||||
if (params.antiprompt.size() != 0) {
|
||||
// tokenize and inject first reverse prompt
|
||||
const auto first_antiprompt = ::llama_tokenize(ctx, params.antiprompt.front(), false);
|
||||
embd_inp.insert(embd_inp.end(), first_antiprompt.begin(), first_antiprompt.end());
|
||||
}
|
||||
}
|
||||
// replace end of text token with newline token when in interactive mode
|
||||
if (id == llama_token_eos() && params.interactive && !params.instruct)
|
||||
{
|
||||
id = llama_token_newline.front();
|
||||
if (params.antiprompt.size() != 0)
|
||||
{
|
||||
// tokenize and inject first reverse prompt
|
||||
const auto first_antiprompt = ::llama_tokenize(ctx, params.antiprompt.front(), false);
|
||||
embd_inp.insert(embd_inp.end(), first_antiprompt.begin(), first_antiprompt.end());
|
||||
}
|
||||
}
|
||||
|
||||
// add it to the context
|
||||
embd.push_back(id);
|
||||
// add it to the context
|
||||
embd.push_back(id);
|
||||
|
||||
// echo this to console
|
||||
input_noecho = false;
|
||||
// echo this to console
|
||||
input_noecho = false;
|
||||
|
||||
// decrement remaining sampling budget
|
||||
--n_remain;
|
||||
} else {
|
||||
// some user input remains from prompt or interaction, forward it to processing
|
||||
while ((int) embd_inp.size() > n_consumed) {
|
||||
embd.push_back(embd_inp[n_consumed]);
|
||||
last_n_tokens.erase(last_n_tokens.begin());
|
||||
last_n_tokens.push_back(embd_inp[n_consumed]);
|
||||
++n_consumed;
|
||||
if ((int) embd.size() >= params.n_batch) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
// decrement remaining sampling budget
|
||||
--n_remain;
|
||||
}
|
||||
else
|
||||
{
|
||||
// some user input remains from prompt or interaction, forward it to processing
|
||||
while ((int)embd_inp.size() > n_consumed)
|
||||
{
|
||||
embd.push_back(embd_inp[n_consumed]);
|
||||
last_n_tokens.erase(last_n_tokens.begin());
|
||||
last_n_tokens.push_back(embd_inp[n_consumed]);
|
||||
++n_consumed;
|
||||
if ((int)embd.size() >= params.n_batch)
|
||||
{
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// display text
|
||||
if (!input_noecho) {
|
||||
for (auto id : embd) {
|
||||
*outfile << llama_token_to_str(ctx, id) << std::flush;
|
||||
}
|
||||
}
|
||||
// reset color to default if we there is no pending user input
|
||||
if (!input_noecho && (int)embd_inp.size() == n_consumed) {
|
||||
set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
|
||||
}
|
||||
// display text
|
||||
if (!input_noecho)
|
||||
{
|
||||
for (auto id : embd)
|
||||
{
|
||||
*outfile << llama_token_to_str(ctx, id) << std::flush;
|
||||
}
|
||||
}
|
||||
// reset color to default if we there is no pending user input
|
||||
if (!input_noecho && (int)embd_inp.size() == n_consumed)
|
||||
{
|
||||
set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
|
||||
}
|
||||
|
||||
// in interactive mode, and not currently processing queued inputs;
|
||||
// check if we should prompt the user for more
|
||||
if (params.interactive && (int) embd_inp.size() <= n_consumed) {
|
||||
// in interactive mode, and not currently processing queued inputs;
|
||||
// check if we should prompt the user for more
|
||||
if (params.interactive && (int)embd_inp.size() <= n_consumed)
|
||||
{
|
||||
|
||||
// check for reverse prompt
|
||||
if (params.antiprompt.size()) {
|
||||
std::string last_output;
|
||||
for (auto id : last_n_tokens) {
|
||||
last_output += llama_token_to_str(ctx, id);
|
||||
}
|
||||
// check for reverse prompt
|
||||
if (params.antiprompt.size())
|
||||
{
|
||||
std::string last_output;
|
||||
for (auto id : last_n_tokens)
|
||||
{
|
||||
last_output += llama_token_to_str(ctx, id);
|
||||
}
|
||||
|
||||
is_antiprompt = false;
|
||||
// Check if each of the reverse prompts appears at the end of the output.
|
||||
for (std::string & antiprompt : params.antiprompt) {
|
||||
if (last_output.find(antiprompt.c_str(), last_output.length() - antiprompt.length(), antiprompt.length()) != std::string::npos) {
|
||||
is_interacting = true;
|
||||
is_antiprompt = true;
|
||||
set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
|
||||
fflush(stdout);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
is_antiprompt = false;
|
||||
// Check if each of the reverse prompts appears at the end of the output.
|
||||
for (std::string &antiprompt : params.antiprompt)
|
||||
{
|
||||
if (last_output.find(antiprompt.c_str(), last_output.length() - antiprompt.length(), antiprompt.length()) != std::string::npos)
|
||||
{
|
||||
is_interacting = true;
|
||||
is_antiprompt = true;
|
||||
set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
|
||||
fflush(stdout);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (n_past > 0 && is_interacting) {
|
||||
// potentially set color to indicate we are taking user input
|
||||
set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
|
||||
if (n_past > 0 && is_interacting)
|
||||
{
|
||||
// potentially set color to indicate we are taking user input
|
||||
set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
|
||||
|
||||
#if defined (_WIN32)
|
||||
// Windows: must reactivate sigint handler after each signal
|
||||
signal(SIGINT, sigint_handler);
|
||||
#endif
|
||||
|
||||
if (params.instruct) {
|
||||
printf("\n> ");
|
||||
}
|
||||
|
||||
std::string buffer;
|
||||
if (!params.input_prefix.empty()) {
|
||||
buffer += params.input_prefix;
|
||||
printf("%s", buffer.c_str());
|
||||
}
|
||||
|
||||
std::string line;
|
||||
bool another_line = true;
|
||||
do {
|
||||
#if defined(_WIN32)
|
||||
std::wstring wline;
|
||||
if (!std::getline(std::wcin, wline)) {
|
||||
// input stream is bad or EOF received
|
||||
return 0;
|
||||
}
|
||||
win32_utf8_encode(wline, line);
|
||||
// Windows: must reactivate sigint handler after each signal
|
||||
signal(SIGINT, sigint_handler);
|
||||
#endif
|
||||
|
||||
if (params.instruct)
|
||||
{
|
||||
printf("\n> ");
|
||||
}
|
||||
|
||||
std::string buffer;
|
||||
if (!params.input_prefix.empty())
|
||||
{
|
||||
buffer += params.input_prefix;
|
||||
printf("%s", buffer.c_str());
|
||||
}
|
||||
|
||||
std::string line;
|
||||
bool another_line = true;
|
||||
do
|
||||
{
|
||||
#if defined(_WIN32)
|
||||
std::wstring wline;
|
||||
if (!std::getline(std::wcin, wline))
|
||||
{
|
||||
// input stream is bad or EOF received
|
||||
return 0;
|
||||
}
|
||||
win32_utf8_encode(wline, line);
|
||||
#else
|
||||
if (!std::getline(std::cin, line)) {
|
||||
// input stream is bad or EOF received
|
||||
return 0;
|
||||
}
|
||||
if (!std::getline(std::cin, line))
|
||||
{
|
||||
// input stream is bad or EOF received
|
||||
return 0;
|
||||
}
|
||||
#endif
|
||||
if (line.empty() || line.back() != '\\') {
|
||||
another_line = false;
|
||||
} else {
|
||||
line.pop_back(); // Remove the continue character
|
||||
}
|
||||
buffer += line + '\n'; // Append the line to the result
|
||||
} while (another_line);
|
||||
if (line.empty() || line.back() != '\\')
|
||||
{
|
||||
another_line = false;
|
||||
}
|
||||
else
|
||||
{
|
||||
line.pop_back(); // Remove the continue character
|
||||
}
|
||||
buffer += line + '\n'; // Append the line to the result
|
||||
} while (another_line);
|
||||
|
||||
// done taking input, reset color
|
||||
set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
|
||||
// done taking input, reset color
|
||||
set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
|
||||
|
||||
// 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) {
|
||||
// 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)
|
||||
{
|
||||
|
||||
// instruct mode: insert instruction prefix
|
||||
if (params.instruct && !is_antiprompt) {
|
||||
n_consumed = embd_inp.size();
|
||||
embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
|
||||
}
|
||||
// instruct mode: insert instruction prefix
|
||||
if (params.instruct && !is_antiprompt)
|
||||
{
|
||||
n_consumed = embd_inp.size();
|
||||
embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
|
||||
}
|
||||
|
||||
auto line_inp = ::llama_tokenize(ctx, buffer, false);
|
||||
embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end());
|
||||
auto line_inp = ::llama_tokenize(ctx, buffer, false);
|
||||
embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end());
|
||||
|
||||
// instruct mode: insert response suffix
|
||||
if (params.instruct) {
|
||||
embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
|
||||
}
|
||||
// instruct mode: insert response suffix
|
||||
if (params.instruct)
|
||||
{
|
||||
embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
|
||||
}
|
||||
|
||||
n_remain -= line_inp.size();
|
||||
}
|
||||
n_remain -= line_inp.size();
|
||||
}
|
||||
|
||||
input_noecho = true; // do not echo this again
|
||||
}
|
||||
input_noecho = true; // do not echo this again
|
||||
}
|
||||
|
||||
if (n_past > 0) {
|
||||
is_interacting = false;
|
||||
}
|
||||
}
|
||||
if (n_past > 0)
|
||||
{
|
||||
is_interacting = false;
|
||||
}
|
||||
}
|
||||
|
||||
// end of text token
|
||||
if (!embd.empty() && embd.back() == llama_token_eos()) {
|
||||
if (params.instruct) {
|
||||
is_interacting = true;
|
||||
} else {
|
||||
fprintf(stderr, " [end of text]\n");
|
||||
break;
|
||||
}
|
||||
}
|
||||
// end of text token
|
||||
if (!embd.empty() && embd.back() == llama_token_eos())
|
||||
{
|
||||
if (params.instruct)
|
||||
{
|
||||
is_interacting = true;
|
||||
}
|
||||
else
|
||||
{
|
||||
fprintf(stderr, " [end of text]\n");
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
|
||||
if (params.interactive && n_remain <= 0 && params.n_predict != -1) {
|
||||
n_remain = params.n_predict;
|
||||
is_interacting = true;
|
||||
}
|
||||
}
|
||||
// In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
|
||||
if (params.interactive && n_remain <= 0 && params.n_predict != -1)
|
||||
{
|
||||
n_remain = params.n_predict;
|
||||
is_interacting = true;
|
||||
}
|
||||
}
|
||||
|
||||
#if defined (_WIN32)
|
||||
signal(SIGINT, SIG_DFL);
|
||||
#if defined(_WIN32)
|
||||
signal(SIGINT, SIG_DFL);
|
||||
#endif
|
||||
|
||||
llama_print_timings(ctx);
|
||||
llama_free(ctx);
|
||||
llama_print_timings(ctx);
|
||||
llama_free(ctx);
|
||||
|
||||
set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
|
||||
set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
|
||||
|
||||
return 0;
|
||||
return 0;
|
||||
}
|
||||
|
||||
int main(int argc, char ** argv) {
|
||||
gpt_params params;
|
||||
params.model = "models/llama-7B/ggml-model.bin";
|
||||
int main(int argc, char **argv)
|
||||
{
|
||||
gpt_params params;
|
||||
params.model = "models/llama-7B/ggml-model.bin";
|
||||
|
||||
if (gpt_params_parse(argc, argv, params) == false)
|
||||
return 1;
|
||||
if (gpt_params_parse(argc, argv, params) == false)
|
||||
return 1;
|
||||
|
||||
if (params.n_ctx > 2048)
|
||||
fprintf(stderr, "%s: warning: model does not support context sizes greater than 2048 tokens (%d specified);"
|
||||
"expect poor results\n", __func__, params.n_ctx);
|
||||
if (params.n_ctx > 2048)
|
||||
fprintf(stderr, "%s: warning: model does not support context sizes greater than 2048 tokens (%d specified);"
|
||||
"expect poor results\n",
|
||||
__func__, params.n_ctx);
|
||||
|
||||
if (params.seed <= 0)
|
||||
params.seed = time(NULL);
|
||||
if (params.seed <= 0)
|
||||
params.seed = time(NULL);
|
||||
|
||||
llama_context * ctx;
|
||||
|
||||
// load the model
|
||||
{
|
||||
auto lparams = llama_context_default_params();
|
||||
llama_context *ctx;
|
||||
|
||||
lparams.n_ctx = params.n_ctx;
|
||||
lparams.n_parts = params.n_parts;
|
||||
lparams.seed = params.seed;
|
||||
lparams.f16_kv = params.memory_f16;
|
||||
lparams.use_mlock = params.use_mlock;
|
||||
lparams.logits_all = params.perplexity;
|
||||
lparams.embedding = true;
|
||||
|
||||
ctx = llama_init_from_file(params.model.c_str(), lparams);
|
||||
// load the model
|
||||
{
|
||||
auto lparams = llama_context_default_params();
|
||||
|
||||
if (ctx == NULL) {
|
||||
fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str());
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
lparams.n_ctx = params.n_ctx;
|
||||
lparams.n_parts = params.n_parts;
|
||||
lparams.seed = params.seed;
|
||||
lparams.f16_kv = params.memory_f16;
|
||||
lparams.use_mlock = params.use_mlock;
|
||||
lparams.logits_all = params.perplexity;
|
||||
lparams.embedding = true;
|
||||
|
||||
crow::SimpleApp app;
|
||||
// app.loglevel(crow::LogLevel::Warning);
|
||||
|
||||
CROW_ROUTE(app, "/completion").methods("POST"_method)
|
||||
([¶ms, &ctx](const crow::request& req){
|
||||
ctx = llama_init_from_file(params.model.c_str(), lparams);
|
||||
|
||||
if (ctx == NULL)
|
||||
{
|
||||
fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str());
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
|
||||
crow::SimpleApp app;
|
||||
// app.loglevel(crow::LogLevel::Warning);
|
||||
|
||||
CROW_ROUTE(app, "/completion").methods("POST"_method)([¶ms, &ctx](const crow::request &req)
|
||||
{
|
||||
auto body = crow::json::load(req.body);
|
||||
if (!body) return crow::response(crow::status::BAD_REQUEST);
|
||||
|
||||
|
|
@ -502,30 +568,29 @@ int main(int argc, char ** argv) {
|
|||
// Write output of LLaMA to file stream.
|
||||
run_llama(ctx, runparams, &outfile);
|
||||
|
||||
return crow::response(crow::status::OK);
|
||||
});
|
||||
return crow::response(crow::status::OK); });
|
||||
|
||||
// CROW_ROUTE(app, "/embedding").methods("POST"_method)
|
||||
// ([¶ms, &ctx](const crow::request& req){
|
||||
// auto body = crow::json::load(req.body);
|
||||
// if (!body) return crow::response(crow::status::BAD_REQUEST);
|
||||
|
||||
// // Create new params for this request only
|
||||
// gpt_params runparams = params;
|
||||
// CROW_ROUTE(app, "/embedding").methods("POST"_method)
|
||||
// ([¶ms, &ctx](const crow::request& req){
|
||||
// auto body = crow::json::load(req.body);
|
||||
// if (!body) return crow::response(crow::status::BAD_REQUEST);
|
||||
|
||||
// // Set run params from body
|
||||
// runparams.prompt = body["prompt"].s();
|
||||
// runparams.embedding = true;
|
||||
// // Create new params for this request only
|
||||
// gpt_params runparams = params;
|
||||
|
||||
// // Open the tempfile into a stream.
|
||||
// std::ofstream outfile(body["tempfile"].s(), std::ios::out);
|
||||
// // Set run params from body
|
||||
// runparams.prompt = body["prompt"].s();
|
||||
// runparams.embedding = true;
|
||||
|
||||
// // Write output of LLaMA to file stream.
|
||||
// run_llama_embedding(ctx, runparams, &outfile);
|
||||
// // Open the tempfile into a stream.
|
||||
// std::ofstream outfile(body["tempfile"].s(), std::ios::out);
|
||||
|
||||
// return crow::response(crow::status::OK);
|
||||
// });
|
||||
// // Write output of LLaMA to file stream.
|
||||
// run_llama_embedding(ctx, runparams, &outfile);
|
||||
|
||||
app.port(BINDPORT).multithreaded().run();
|
||||
return 0;
|
||||
}
|
||||
// return crow::response(crow::status::OK);
|
||||
// });
|
||||
|
||||
app.port(BINDPORT).multithreaded().run();
|
||||
return 0;
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue