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Merge branch 'master' into concedo_experimental

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# Conflicts:
#	.devops/nix/sif.nix
#	.github/workflows/build.yml
#	.github/workflows/python-check-requirements.yml
#	README-sycl.md
#	README.md
#	flake.lock
#	flake.nix
#	requirements/requirements-convert-hf-to-gguf.txt
#	scripts/compare-llama-bench.py
This commit is contained in:
Concedo 2024-03-04 15:33:33 +08:00
commit 7c64845dea
41 changed files with 3325 additions and 2053 deletions
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72
examples/server/server.cpp
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@ -44,6 +44,7 @@ struct server_params {
int32_t write_timeout = 600;
bool slots_endpoint = true;
bool metrics_endpoint = false;
int n_threads_http = -1;
};
bool server_verbose = false;
@ -441,8 +442,8 @@ struct llama_server_context
const int ga_w = params.grp_attn_w;
if (ga_n != 1) {
GGML_ASSERT(ga_n > 0 && "ga_n must be positive"); // NOLINT
GGML_ASSERT(ga_w % ga_n == 0 && "ga_w must be a multiple of ga_n"); // NOLINT
GGML_ASSERT(ga_n > 0 && "ga_n must be positive"); // NOLINT
GGML_ASSERT(ga_w % ga_n == 0 && "ga_w must be a multiple of ga_n"); // NOLINT
//GGML_ASSERT(n_ctx_train % ga_w == 0 && "n_ctx_train must be a multiple of ga_w"); // NOLINT
//GGML_ASSERT(n_ctx >= n_ctx_train * ga_n && "n_ctx must be at least n_ctx_train * ga_n"); // NOLINT
@ -1709,8 +1710,8 @@ struct llama_server_context
}
slot.params.n_keep = std::min(slot.n_ctx - 4, slot.params.n_keep);
// if input prompt is too big, truncate it
if (slot.n_prompt_tokens >= slot.n_ctx)
// if input prompt is too big, truncate it, if group attention self-extend is disabled
if (slot.ga_n == 1 && slot.n_prompt_tokens >= slot.n_ctx)
{
const int n_left = slot.n_ctx - slot.params.n_keep;
const int n_block_size = n_left / 2;
@ -1785,9 +1786,11 @@ struct llama_server_context
}
LOG_INFO("slot progression", {
{ "slot_id", slot.id },
{ "task_id", slot.task_id },
{ "n_past", slot.n_past },
{ "slot_id", slot.id },
{ "task_id", slot.task_id },
{ "n_past", slot.n_past },
{ "n_past_se", slot.n_past_se },
{ "ga_i", slot.ga_i },
{ "n_prompt_tokens_processed", slot.n_prompt_tokens_processed }
});
}
@ -2001,6 +2004,17 @@ struct llama_server_context
LOG_VERBOSE("slots updated", {});
return true;
}
json model_meta() {
return json{
{"vocab_type", llama_vocab_type(model)},
{"n_vocab", llama_n_vocab(model)},
{"n_ctx_train", llama_n_ctx_train(model)},
{"n_embd", llama_n_embd(model)},
{"n_params", llama_model_n_params(model)},
{"size", llama_model_size(model)},
};
}
};
static void server_print_usage(const char *argv0, const gpt_params &params,
@ -2013,6 +2027,7 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
printf(" -v, --verbose verbose output (default: %s)\n", server_verbose ? "enabled" : "disabled");
printf(" -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
printf(" -tb N, --threads-batch N number of threads to use during batch and prompt processing (default: same as --threads)\n");
printf(" --threads-http N number of threads in the http server pool to process requests (default: max(hardware concurrency - 1, --parallel N + 2))\n");
printf(" -c N, --ctx-size N size of the prompt context (default: %d)\n", params.n_ctx);
printf(" --rope-scaling {none,linear,yarn}\n");
printf(" RoPE frequency scaling method, defaults to linear unless specified by the model\n");
@ -2299,6 +2314,15 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
}
params.n_threads_batch = std::stoi(argv[i]);
}
else if (arg == "--threads-http")
{
if (++i >= argc)
{
invalid_param = true;
break;
}
sparams.n_threads_http = std::stoi(argv[i]);
}
else if (arg == "-b" || arg == "--batch-size")
{
if (++i >= argc)
@ -2380,14 +2404,6 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
}
#else
LOG_WARNING("llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n", {});
#endif // GGML_USE_CUBLAS
}
else if (arg == "--no-mul-mat-q" || arg == "-nommq")
{
#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_SYCL)
params.mul_mat_q = false;
#else
LOG_WARNING("warning: llama.cpp was compiled without cuBLAS. Disabling mul_mat_q kernels has no effect.\n", {});
#endif // GGML_USE_CUBLAS
}
else if (arg == "--main-gpu" || arg == "-mg")
@ -2909,9 +2925,10 @@ int main(int argc, char **argv)
for (const auto& metric_def : metrics_def) {
std::string name = metric_def["name"];
std::string help = metric_def["help"];
prometheus << "# HELP llamacpp:" << name << " " << help << "\n"
<< "# TYPE llamacpp:" << name << " " << type << "\n"
<< "llamacpp:" << name << " " << metric_def["value"] << "\n";
auto value = json_value(metric_def, "value", 0);
prometheus << "# HELP llamacpp:" << name << " " << help << "\n"
<< "# TYPE llamacpp:" << name << " " << type << "\n"
<< "llamacpp:" << name << " " << value << "\n";
}
}
@ -2992,6 +3009,7 @@ int main(int argc, char **argv)
state.store(SERVER_STATE_READY);
LOG_INFO("model loaded", {});
}
const auto model_meta = llama.model_meta();
if (sparams.chat_template.empty()) { // custom chat template is not supplied
// check if the template comes with the model is supported by us
@ -3141,7 +3159,7 @@ int main(int argc, char **argv)
}
});
svr.Get("/v1/models", [&params](const httplib::Request& req, httplib::Response& res)
svr.Get("/v1/models", [&params, &model_meta](const httplib::Request& req, httplib::Response& res)
{
res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
std::time_t t = std::time(0);
@ -3150,10 +3168,11 @@ int main(int argc, char **argv)
{"object", "list"},
{"data", {
{
{"id", params.model_alias},
{"object", "model"},
{"created", t},
{"owned_by", "llamacpp"}
{"id", params.model_alias},
{"object", "model"},
{"created", t},
{"owned_by", "llamacpp"},
{"meta", model_meta}
},
}}
};
@ -3450,6 +3469,13 @@ int main(int argc, char **argv)
}*/
//);
if (sparams.n_threads_http < 1) {
// +2 threads for monitoring endpoints
sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
}
log_data["n_threads_http"] = std::to_string(sparams.n_threads_http);
svr.new_task_queue = [&sparams] { return new httplib::ThreadPool(sparams.n_threads_http); };
LOG_INFO("HTTP server listening", log_data);
// run the HTTP server in a thread - see comment below
std::thread t([&]()