mirror of
https://github.com/ollama/ollama.git
synced 2026-04-26 10:45:57 +02:00
llama: update vendored code to commit 1caae7fc6c77551cb1066515e0f414713eebb367
This commit is contained in:
117
llama/llama.cpp/common/common.cpp
vendored
117
llama/llama.cpp/common/common.cpp
vendored
@@ -203,6 +203,7 @@ bool set_process_priority(enum ggml_sched_priority prio) {
|
||||
|
||||
DWORD p = NORMAL_PRIORITY_CLASS;
|
||||
switch (prio) {
|
||||
case GGML_SCHED_PRIO_LOW: p = BELOW_NORMAL_PRIORITY_CLASS; break;
|
||||
case GGML_SCHED_PRIO_NORMAL: p = NORMAL_PRIORITY_CLASS; break;
|
||||
case GGML_SCHED_PRIO_MEDIUM: p = ABOVE_NORMAL_PRIORITY_CLASS; break;
|
||||
case GGML_SCHED_PRIO_HIGH: p = HIGH_PRIORITY_CLASS; break;
|
||||
@@ -228,6 +229,7 @@ bool set_process_priority(enum ggml_sched_priority prio) {
|
||||
|
||||
int p = 0;
|
||||
switch (prio) {
|
||||
case GGML_SCHED_PRIO_LOW: p = 5; break;
|
||||
case GGML_SCHED_PRIO_NORMAL: p = 0; break;
|
||||
case GGML_SCHED_PRIO_MEDIUM: p = -5; break;
|
||||
case GGML_SCHED_PRIO_HIGH: p = -10; break;
|
||||
@@ -443,6 +445,25 @@ void string_replace_all(std::string & s, const std::string & search, const std::
|
||||
s = std::move(builder);
|
||||
}
|
||||
|
||||
bool string_ends_with(const std::string_view & str, const std::string_view & suffix) {
|
||||
return str.size() >= suffix.size() && str.compare(str.size()-suffix.size(), suffix.size(), suffix) == 0;
|
||||
}
|
||||
size_t string_find_partial_stop(const std::string_view & str, const std::string_view & stop) {
|
||||
if (!str.empty() && !stop.empty()) {
|
||||
const char text_last_char = str.back();
|
||||
for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--) {
|
||||
if (stop[char_index] == text_last_char) {
|
||||
const auto current_partial = stop.substr(0, char_index + 1);
|
||||
if (string_ends_with(str, current_partial)) {
|
||||
return str.size() - char_index - 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return std::string::npos;
|
||||
}
|
||||
|
||||
std::string regex_escape(const std::string & s) {
|
||||
static const std::regex special_chars("[.^$|()*+?\\[\\]{}\\\\]");
|
||||
return std::regex_replace(s, special_chars, "\\$0");
|
||||
@@ -830,7 +851,7 @@ std::string fs_get_cache_directory() {
|
||||
if (getenv("LLAMA_CACHE")) {
|
||||
cache_directory = std::getenv("LLAMA_CACHE");
|
||||
} else {
|
||||
#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX)
|
||||
#if defined(__linux__) || defined(__FreeBSD__) || defined(_AIX) || defined(__OpenBSD__)
|
||||
if (std::getenv("XDG_CACHE_HOME")) {
|
||||
cache_directory = std::getenv("XDG_CACHE_HOME");
|
||||
} else {
|
||||
@@ -884,13 +905,16 @@ struct common_init_result common_init_from_params(common_params & params) {
|
||||
ok = false;
|
||||
}
|
||||
|
||||
if (llama_vocab_eos(vocab) == LLAMA_TOKEN_NULL) {
|
||||
LOG_WRN("%s: warning: vocab does not have an EOS token, reranking will not work\n", __func__);
|
||||
ok = false;
|
||||
}
|
||||
bool has_eos = llama_vocab_eos(vocab) != LLAMA_TOKEN_NULL;
|
||||
bool has_sep = llama_vocab_sep(vocab) != LLAMA_TOKEN_NULL;
|
||||
|
||||
if (llama_vocab_sep(vocab) == LLAMA_TOKEN_NULL) {
|
||||
LOG_WRN("%s: warning: vocab does not have a SEP token, reranking will not work\n", __func__);
|
||||
if (!has_eos && !has_sep) {
|
||||
LOG_WRN("%s: warning: vocab does not have an EOS token or SEP token, reranking will not work\n", __func__);
|
||||
ok = false;
|
||||
} else if (!has_eos) {
|
||||
LOG_WRN("%s: warning: vocab does not have an EOS token, using SEP token as fallback\n", __func__);
|
||||
} else if (!has_sep) {
|
||||
LOG_WRN("%s: warning: vocab does not have a SEP token, reranking will not work\n", __func__);
|
||||
ok = false;
|
||||
}
|
||||
|
||||
@@ -1083,6 +1107,9 @@ struct llama_model_params common_model_params_to_llama(common_params & params) {
|
||||
mparams.tensor_buft_overrides = params.tensor_buft_overrides.data();
|
||||
}
|
||||
|
||||
mparams.progress_callback = params.load_progress_callback;
|
||||
mparams.progress_callback_user_data = params.load_progress_callback_user_data;
|
||||
|
||||
return mparams;
|
||||
}
|
||||
|
||||
@@ -1114,6 +1141,7 @@ struct llama_context_params common_context_params_to_llama(const common_params &
|
||||
cparams.flash_attn = params.flash_attn;
|
||||
cparams.no_perf = params.no_perf;
|
||||
cparams.op_offload = !params.no_op_offload;
|
||||
cparams.swa_full = params.swa_full;
|
||||
|
||||
if (params.reranking) {
|
||||
cparams.embeddings = true;
|
||||
@@ -1306,81 +1334,6 @@ std::string common_detokenize(const struct llama_vocab * vocab, const std::vecto
|
||||
return text;
|
||||
}
|
||||
|
||||
//
|
||||
// KV cache utils
|
||||
//
|
||||
|
||||
void common_kv_cache_dump_view(const llama_kv_cache_view & view, int row_size) {
|
||||
static const char slot_chars[] = ".123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz+";
|
||||
|
||||
printf("=== Dumping KV cache. total cells %d, max sequences per cell %d, populated cells %d, total tokens in cache %d, largest empty slot=%d @ %d",
|
||||
view.n_cells, view.n_seq_max, view.used_cells, view.token_count, view.max_contiguous, view.max_contiguous_idx);
|
||||
|
||||
llama_kv_cache_view_cell * c_curr = view.cells;
|
||||
llama_seq_id * cs_curr = view.cells_sequences;
|
||||
|
||||
for (int i = 0; i < view.n_cells; i++, c_curr++, cs_curr += view.n_seq_max) {
|
||||
if (i % row_size == 0) {
|
||||
printf("\n%5d: ", i);
|
||||
}
|
||||
int seq_count = 0;
|
||||
for (int j = 0; j < view.n_seq_max; j++) {
|
||||
if (cs_curr[j] >= 0) { seq_count++; }
|
||||
}
|
||||
putchar(slot_chars[std::min(sizeof(slot_chars) - 2, size_t(seq_count))]);
|
||||
}
|
||||
|
||||
printf("\n=== Done dumping\n");
|
||||
}
|
||||
|
||||
void common_kv_cache_dump_view_seqs(const llama_kv_cache_view & view, int row_size) {
|
||||
static const char slot_chars[] = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
|
||||
|
||||
printf("=== Dumping KV cache. total cells %d, max sequences per cell %d, populated cells %d, total tokens in cache %d, largest empty slot=%d @ %d\n",
|
||||
view.n_cells, view.n_seq_max, view.used_cells, view.token_count, view.max_contiguous, view.max_contiguous_idx);
|
||||
|
||||
std::unordered_map<llama_seq_id, size_t> seqs;
|
||||
llama_kv_cache_view_cell * c_curr = view.cells;
|
||||
llama_seq_id * cs_curr = view.cells_sequences;
|
||||
|
||||
for (int i = 0; i < view.n_cells; i++, c_curr++, cs_curr += view.n_seq_max) {
|
||||
for (int j = 0; j < view.n_seq_max; j++) {
|
||||
if (cs_curr[j] < 0) { continue; }
|
||||
if (seqs.find(cs_curr[j]) == seqs.end()) {
|
||||
if (seqs.size() + 1 >= sizeof(slot_chars)) { break; }
|
||||
const size_t sz = seqs.size();
|
||||
seqs[cs_curr[j]] = sz;
|
||||
}
|
||||
}
|
||||
if (seqs.size() + 1 >= sizeof(slot_chars)) { break; }
|
||||
}
|
||||
|
||||
printf("=== Sequence legend: ");
|
||||
for (const auto & it : seqs) {
|
||||
printf("%zu=%d, ", it.second, it.first);
|
||||
}
|
||||
printf("'+'=other sequence ids");
|
||||
|
||||
c_curr = view.cells;
|
||||
cs_curr = view.cells_sequences;
|
||||
for (int i = 0; i < view.n_cells; i++, c_curr++, cs_curr += view.n_seq_max) {
|
||||
if (i % row_size == 0) {
|
||||
printf("\n%5d: ", i);
|
||||
}
|
||||
for (int j = 0; j < view.n_seq_max; j++) {
|
||||
if (cs_curr[j] >= 0) {
|
||||
const auto & it = seqs.find(cs_curr[j]);
|
||||
putchar(it != seqs.end() ? int(slot_chars[it->second]) : '+');
|
||||
} else {
|
||||
putchar('.');
|
||||
}
|
||||
}
|
||||
putchar(' ');
|
||||
}
|
||||
|
||||
printf("\n=== Done dumping\n");
|
||||
}
|
||||
|
||||
//
|
||||
// Embedding utils
|
||||
//
|
||||
|
||||
Reference in New Issue
Block a user