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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-25 05:48:47 +01:00
minor : fix compile warnings
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5ea4339273
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@ -749,7 +749,7 @@ bool console_readline(console_state & con_st, std::string & line) {
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break;
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break;
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}
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}
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if (input_char == WEOF || input_char == 0x04 /* Ctrl+D*/) {
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if (input_char == (char32_t) WEOF || input_char == 0x04 /* Ctrl+D*/) {
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end_of_stream = true;
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end_of_stream = true;
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break;
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break;
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}
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}
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@ -764,7 +764,7 @@ bool console_readline(console_state & con_st, std::string & line) {
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char32_t code = getchar32();
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char32_t code = getchar32();
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if (code == '[' || code == 0x1B) {
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if (code == '[' || code == 0x1B) {
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// Discard the rest of the escape sequence
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// Discard the rest of the escape sequence
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while ((code = getchar32()) != WEOF) {
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while ((code = getchar32()) != (char32_t) WEOF) {
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if ((code >= 'A' && code <= 'Z') || (code >= 'a' && code <= 'z') || code == '~') {
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if ((code >= 'A' && code <= 'Z') || (code >= 'a' && code <= 'z') || code == '~') {
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break;
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break;
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}
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}
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@ -44,15 +44,15 @@ struct gpt_params {
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float mirostat_tau = 5.00f; // target entropy
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float mirostat_tau = 5.00f; // target entropy
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float mirostat_eta = 0.10f; // learning rate
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float mirostat_eta = 0.10f; // learning rate
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std::string model = "models/7B/ggml-model.bin"; // model path
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std::string model = "models/7B/ggml-model.bin"; // model path
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std::string prompt = "";
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std::string prompt = "";
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std::string path_prompt_cache = ""; // path to file for saving/loading prompt eval state
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std::string path_prompt_cache = ""; // path to file for saving/loading prompt eval state
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std::string input_prefix = ""; // string to prefix user inputs with
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std::string input_prefix = ""; // string to prefix user inputs with
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std::string input_suffix = ""; // string to suffix user inputs with
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std::string input_suffix = ""; // string to suffix user inputs with
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std::vector<std::string> antiprompt; // string upon seeing which more user input is prompted
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std::vector<std::string> antiprompt; // string upon seeing which more user input is prompted
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std::string lora_adapter = ""; // lora adapter path
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std::string lora_adapter = ""; // lora adapter path
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std::string lora_base = ""; // base model path for the lora adapter
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std::string lora_base = ""; // base model path for the lora adapter
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bool memory_f16 = true; // use f16 instead of f32 for memory kv
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bool memory_f16 = true; // use f16 instead of f32 for memory kv
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bool random_prompt = false; // do not randomize prompt if none provided
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bool random_prompt = false; // do not randomize prompt if none provided
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@ -941,7 +941,7 @@ static void llama_model_load_internal(
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size_t ctx_size;
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size_t ctx_size;
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size_t mmapped_size;
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size_t mmapped_size;
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ml->calc_sizes(&ctx_size, &mmapped_size);
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ml->calc_sizes(&ctx_size, &mmapped_size);
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fprintf(stderr, "%s: ggml ctx size = %6.2f KB\n", __func__, ctx_size/1024.0);
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fprintf(stderr, "%s: ggml ctx size = %6.2f MB\n", __func__, ctx_size/1024.0/1024.0);
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// print memory requirements
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// print memory requirements
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{
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{
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@ -1,14 +1,16 @@
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#include "llama.h"
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#include "ggml.h"
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#include "ggml.h"
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#include <cassert>
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#include "llama.h"
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#include <cmath>
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#ifdef NDEBUG
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#undef NDEBUG
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#endif
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#include <numeric>
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#include <numeric>
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#include <cassert>
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#include <cassert>
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#include <iostream>
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#include <iostream>
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#include <vector>
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#include <vector>
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#include <algorithm>
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#include <algorithm>
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void dump(const llama_token_data_array * candidates) {
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void dump(const llama_token_data_array * candidates) {
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for (size_t i = 0; i < candidates->size; i++) {
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for (size_t i = 0; i < candidates->size; i++) {
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printf("%d: %f (%f)\n", candidates->data[i].id, candidates->data[i].p, candidates->data[i].logit);
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printf("%d: %f (%f)\n", candidates->data[i].id, candidates->data[i].p, candidates->data[i].logit);
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