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Merge branch 'server-rev' of https://github.com//ggerganov/llama.cpp into server-rev

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M. Yusuf Sarıgöz 2023-10-22 19:49:48 +03:00
commit a4d69d8b81
3 changed files with 1680 additions and 1673 deletions
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3335
examples/server/index.html.hpp
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3
examples/server/public/index.html
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@ -413,7 +413,7 @@
currentMessages.push(data); currentMessages.push(data);
slot_id = data.slot_id; slot_id = data.slot_id;
if (selected_image && !data.multimodal) { if (selected_image && !data.multimodal) {
alert("The server was no compiled for multimodal or the model projector can't be loaded."); alert("The server was not compiled for multimodal or the model projector can't be loaded.");
return; return;
} }
transcriptUpdate([...history, [char, currentMessages]]) transcriptUpdate([...history, [char, currentMessages]])
@ -470,6 +470,7 @@
transcriptUpdate([...session.value.transcript, ["", prompt]]); transcriptUpdate([...session.value.transcript, ["", prompt]]);
await runLlama(prompt, { await runLlama(prompt, {
...params.value, ...params.value,
slot_id: slot_id,
stop: [], stop: [],
}, ""); }, "");
} }

15
examples/server/server.cpp
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@ -655,6 +655,7 @@ struct llama_server_context
bool launch_slot_with_data(llama_client_slot* &slot, json data) { bool launch_slot_with_data(llama_client_slot* &slot, json data) {
slot_params default_params; slot_params default_params;
llama_sampling_params default_sparams; llama_sampling_params default_sparams;
slot->params.stream = json_value(data, "stream", false); slot->params.stream = json_value(data, "stream", false);
slot->params.cache_prompt = json_value(data, "cache_prompt", false); slot->params.cache_prompt = json_value(data, "cache_prompt", false);
slot->params.n_predict = json_value(data, "n_predict", default_params.n_predict); slot->params.n_predict = json_value(data, "n_predict", default_params.n_predict);
@ -1141,10 +1142,10 @@ struct llama_server_context
res.stop = false; res.stop = false;
res.result_json = json res.result_json = json
{ {
{"content", tkn.text_to_send }, {"content", tkn.text_to_send},
{"stop", false}, {"stop", false},
{"slot_id", slot.id }, {"slot_id", slot.id},
{"multimodal", multimodal } {"multimodal", multimodal}
}; };
if (slot.sparams.n_probs > 0) if (slot.sparams.n_probs > 0)
{ {
@ -1351,7 +1352,7 @@ struct llama_server_context
switch (task.type) switch (task.type)
{ {
case COMPLETION_TASK: { case COMPLETION_TASK: {
llama_client_slot* slot = get_slot(json_value(task.data, "slot_id", -1)); llama_client_slot *slot = get_slot(json_value(task.data, "slot_id", -1));
if (slot == nullptr) if (slot == nullptr)
{ {
LOG_TEE("slot unavailable\n"); LOG_TEE("slot unavailable\n");
@ -1515,7 +1516,9 @@ struct llama_server_context
prefix_tokens.insert(prefix_tokens.end(), suffix_tokens.begin(), suffix_tokens.end()); prefix_tokens.insert(prefix_tokens.end(), suffix_tokens.begin(), suffix_tokens.end());
prefix_tokens.push_back(llama_token_middle(ctx)); prefix_tokens.push_back(llama_token_middle(ctx));
prompt_tokens = prefix_tokens; prompt_tokens = prefix_tokens;
} else { }
else
{
prompt_tokens = tokenize(slot.prompt, system_prompt.empty()); // add BOS if there isn't system prompt prompt_tokens = tokenize(slot.prompt, system_prompt.empty()); // add BOS if there isn't system prompt
} }
@ -2069,7 +2072,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
} }
static json format_partial_response( static json format_partial_response(
llama_server_context &llama, llama_client_slot* slot, const std::string &content, const std::vector<completion_token_output> &probs llama_server_context &llama, llama_client_slot *slot, const std::string &content, const std::vector<completion_token_output> &probs
) { ) {
json res = json json res = json
{ {