server : display token probabilities in the UI (#2489)

* server : add n_probs param in chat UI

* server : keep message data array & show in probabilites component

* server : add simple popover component

* server : fix completion_probabilities undefined if not set n_probs

* server : implement Probabilites

* server : handle bytes

* server : make n_probs max to 10 for easy scroll

* server : adjust for dark/light mode

* server : Fix regenerated prompt

* server : update index.html.hpp

* server : convert prob to percentage + show original value as div title

* server : fix Probabilites not used if included empty str

* server : skip byte pair in display probabilites

* server : remove array check of completion_probabilities in messages

* skip empty array or byte pair (> 1) in Probabilites

* generate index.html.hpp

* fix incorrect prob convert if the str is already a known token

* use final response to show probabilities on stop

* revert unnecessary change

* correct probabilites usage

* remove unused function

* always send partial response for get correct probs of last to_send

* fix typo

* fix content of format_final_response

* refactor probs render & make pColor transparent if not found

* send empty string when got stop_pos in partial

* avoid unnecessary empty data event & send rest of partial tokens on stop

* use <br /> for new line

* skip -1 tok in loop to avoid send '' on end

* trim last new lines on stop

* revert unnecessary change
This commit is contained in:
Jhen-Jie Hong 2023-08-25 18:32:45 +08:00 committed by GitHub
parent 5439a0ab57
commit 29674ab4e8
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3 changed files with 1979 additions and 1160 deletions

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@ -124,8 +124,9 @@ static void server_log(const char *level, const char *function, int line,
static std::string tokens_to_output_formatted_string(const llama_context *ctx, const llama_token token)
{
std::string out = token == -1 ? "" : llama_token_to_str(ctx, token);
// if first bit is 1, meaning it's a partial character
if (out.size() > 0 && (out[0] & 0x80) == 0x80)
// if the size is 1 and first bit is 1, meaning it's a partial character
// (size > 1 meaning it's already a known token)
if (out.size() == 1 && (out[0] & 0x80) == 0x80)
{
std::stringstream ss;
ss << std::hex << (out[0] & 0xff);
@ -1321,59 +1322,86 @@ int main(int argc, char **argv)
while (llama.has_next_token) {
const completion_token_output token_with_probs = llama.doCompletion();
const std::string token_text = token_with_probs.tok == -1 ? "" : llama_token_to_str(llama.ctx, token_with_probs.tok);
if (llama.multibyte_pending > 0) {
if (token_with_probs.tok == -1 || llama.multibyte_pending > 0) {
continue;
}
const std::string token_text = llama_token_to_str(llama.ctx, token_with_probs.tok);
size_t pos = std::min(sent_count, llama.generated_text.size());
const std::string str_test = llama.generated_text.substr(pos);
bool is_stop_full = false;
size_t stop_pos =
llama.findStoppingStrings(str_test, token_text.size(), STOP_FULL);
if (stop_pos != std::string::npos) {
is_stop_full = true;
llama.generated_text.erase(
llama.generated_text.begin() + pos + stop_pos,
llama.generated_text.end());
pos = std::min(sent_count, llama.generated_text.size());
} else {
is_stop_full = false;
stop_pos = llama.findStoppingStrings(str_test, token_text.size(),
STOP_PARTIAL);
}
const std::string to_send = llama.generated_text.substr(pos, stop_pos);
sent_count += to_send.size();
if (
stop_pos == std::string::npos ||
// Send rest of the text if we are at the end of the generation
(!llama.has_next_token && !is_stop_full && stop_pos > 0)
) {
const std::string to_send = llama.generated_text.substr(pos, std::string::npos);
std::vector<completion_token_output> probs_output = {};
sent_count += to_send.size();
if (llama.params.n_probs > 0) {
const std::vector<llama_token> to_send_toks = llama_tokenize(llama.ctx, to_send, false);
size_t probs_pos = std::min(sent_token_probs_index, llama.generated_token_probs.size());
size_t probs_stop_pos = std::min(sent_token_probs_index + to_send_toks.size(), llama.generated_token_probs.size());
if (probs_pos < probs_stop_pos) {
probs_output = std::vector<completion_token_output>(llama.generated_token_probs.begin() + probs_pos, llama.generated_token_probs.begin() + probs_stop_pos);
std::vector<completion_token_output> probs_output = {};
if (llama.params.n_probs > 0) {
const std::vector<llama_token> to_send_toks = llama_tokenize(llama.ctx, to_send, false);
size_t probs_pos = std::min(sent_token_probs_index, llama.generated_token_probs.size());
size_t probs_stop_pos = std::min(sent_token_probs_index + to_send_toks.size(), llama.generated_token_probs.size());
if (probs_pos < probs_stop_pos) {
probs_output = std::vector<completion_token_output>(llama.generated_token_probs.begin() + probs_pos, llama.generated_token_probs.begin() + probs_stop_pos);
}
sent_token_probs_index = probs_stop_pos;
}
const json data = format_partial_response(llama, to_send, probs_output);
const std::string str =
"data: " +
data.dump(-1, ' ', false, json::error_handler_t::replace) +
"\n\n";
LOG_VERBOSE("data stream", {
{ "to_send", str }
});
if (!sink.write(str.data(), str.size())) {
LOG_VERBOSE("stream closed", {});
llama_print_timings(llama.ctx);
return false;
}
sent_token_probs_index = probs_stop_pos;
}
const json data = llama.has_next_token
? format_partial_response(llama, to_send, probs_output)
// Generation is done, send extra information.
: format_final_response(llama, to_send, llama.generated_token_probs);
if (!llama.has_next_token) {
// Generation is done, send extra information.
const json data = format_final_response(llama, "", llama.generated_token_probs);
const std::string str =
"data: " +
data.dump(-1, ' ', false, json::error_handler_t::replace) +
"\n\n";
const std::string str =
"data: " +
data.dump(-1, ' ', false, json::error_handler_t::replace) +
"\n\n";
LOG_VERBOSE("data stream", {
{ "to_send", str }
});
LOG_VERBOSE("data stream", {
{ "to_send", str }
});
if (!sink.write(str.data(), str.size())) {
LOG_VERBOSE("stream closed", {});
llama_print_timings(llama.ctx);
return false;
if (!sink.write(str.data(), str.size())) {
LOG_VERBOSE("stream closed", {});
llama_print_timings(llama.ctx);
return false;
}
}
}