mirror of
https://github.com/Helldez/BigMoeOnEdge.git
synced 2026-10-03 19:45:46 +00:00
188e321fa5
Only expert tensors are streamed; every other weight (embeddings, attention, norms, lm_head) stays mmap-resident and is demand-paged by the kernel. On a model far larger than RAM those dense pages fault in lazily, one scattered 4 KiB page at a time, inside the first decodes — surfacing as a large compute_ms residual that only settles after ~20 tokens (see docs/warmup-analysis.md). Read them eagerly instead: after the streamer binds the expert offsets, sweep the file's non-expert byte ranges (the complement of those offsets) once, sequentially, into the page cache before the first token. The ranges are derived at runtime from the discovered expert offsets — no per-model constants. It touches neither the expert cache nor the budget, so the streaming path is byte-identical (cache_hit% unchanged step-for-step); it only moves cold faults out of the hot path and into load time. Measured on gpt-oss-120b (62 GB, ~5.2x RAM): first-five-token wall average drops ~20x and the first token goes from ~18 s to ~1 s. Models whose dense set is ~1 GB (Qwen, Gemma) are neutral. On by default; --no-warm-dense opts out for A/B runs.
514 lines
21 KiB
C++
514 lines
21 KiB
C++
// bmoe-cli — host driver for BigMoeOnEdge.
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//
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// Parses flags into a RunConfig and runs the engine. Two output modes:
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// * default: streams the generated text inline, per-token timing to stderr;
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// * --progress: one machine-readable JSON line per token (docs/telemetry.md), which
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// the Android example app parses for its live panel.
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//
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// Environment variables are read ONLY here, as overrides for the matching flags, so the
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// engine stays env-free. The flag always wins over the env value.
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#include "bmoe/config.h"
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#include "bmoe/runtime.h"
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#include "bmoe/session.h"
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#include "bmoe/recipe.h"
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#include "bmoe/metrics.h"
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#include <atomic>
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#include <condition_variable>
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#include <cstdio>
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#include <cstdlib>
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#include <cstring>
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#include <deque>
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#include <iostream>
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#include <memory>
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#include <mutex>
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#include <string>
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#include <thread>
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using namespace bmoe;
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static int env_int(const char * k, int dflt) {
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const char * v = std::getenv(k);
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return (v && *v) ? std::atoi(v) : dflt;
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}
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static std::string json_escape(const std::string & s) {
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std::string o;
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o.reserve(s.size() + 8);
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for (char c : s) {
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switch (c) {
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case '"':
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o += "\\\"";
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break;
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case '\\':
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o += "\\\\";
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break;
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case '\n':
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o += "\\n";
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break;
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case '\r':
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o += "\\r";
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break;
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case '\t':
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o += "\\t";
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break;
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default:
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if ((unsigned char) c < 0x20) {
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char b[8];
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std::snprintf(b, sizeof(b), "\\u%04x", c);
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o += b;
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} else
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o += c;
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}
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}
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return o;
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}
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// ── minimal flat-JSON reading for the --session request protocol ──
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// The session request objects are flat (string/int/bool fields only), so a tiny hand-rolled
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// extractor keeps the CLI dependency-free, mirroring the hand-written JSON it already emits.
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static std::string json_unescape(const std::string & s) {
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std::string o;
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o.reserve(s.size());
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for (size_t i = 0; i < s.size(); ++i) {
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if (s[i] != '\\' || i + 1 >= s.size()) {
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o += s[i];
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continue;
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}
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char c = s[++i];
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switch (c) {
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case 'n':
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o += '\n';
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break;
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case 'r':
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o += '\r';
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break;
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case 't':
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o += '\t';
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break;
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case '"':
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o += '"';
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break;
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case '\\':
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o += '\\';
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break;
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case '/':
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o += '/';
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break;
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case 'u':
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if (i + 4 < s.size()) {
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int code = (int) std::strtol(s.substr(i + 1, 4).c_str(), nullptr, 16);
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// The protocol only carries ASCII control chars as \u00xx (from json_escape);
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// decode those directly. Anything else is passed through as the literal char.
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o += (char) (code & 0xff);
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i += 4;
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}
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break;
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default:
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o += c;
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break;
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}
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}
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return o;
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}
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// Find `"key"`, skip to its value. Returns the index just past the colon, or npos.
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static size_t json_value_pos(const std::string & line, const char * key) {
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std::string pat = std::string("\"") + key + "\"";
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size_t k = line.find(pat);
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if (k == std::string::npos) return std::string::npos;
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size_t c = line.find(':', k + pat.size());
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if (c == std::string::npos) return std::string::npos;
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return c + 1;
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}
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static bool json_get_string(const std::string & line, const char * key, std::string & out) {
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size_t p = json_value_pos(line, key);
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if (p == std::string::npos) return false;
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while (p < line.size() && (line[p] == ' ' || line[p] == '\t'))
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++p;
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if (p >= line.size() || line[p] != '"') return false;
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++p;
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std::string raw;
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for (; p < line.size(); ++p) {
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if (line[p] == '\\' && p + 1 < line.size()) {
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raw += line[p];
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raw += line[p + 1];
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++p;
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} else if (line[p] == '"') {
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break;
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} else {
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raw += line[p];
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}
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}
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out = json_unescape(raw);
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return true;
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}
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static int json_get_int(const std::string & line, const char * key, int dflt) {
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size_t p = json_value_pos(line, key);
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if (p == std::string::npos) return dflt;
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return std::atoi(line.c_str() + p);
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}
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static bool json_get_bool(const std::string & line, const char * key, bool dflt) {
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size_t p = json_value_pos(line, key);
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if (p == std::string::npos) return dflt;
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while (p < line.size() && (line[p] == ' ' || line[p] == '\t'))
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++p;
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return line.compare(p, 4, "true") == 0;
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}
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// A parsed stdin command. cancel is handled inline by the reader thread (it calls
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// Session::cancel directly), so only generate/close travel through the queue.
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struct SessionCmd {
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enum Kind { kGenerate, kClose } kind;
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std::string prompt;
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int id = 0;
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int n_predict = 32;
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bool think = true;
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bool clear_kv = true;
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};
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// Interactive session: keep the model loaded and the expert cache warm across prompts, reading
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// one JSON request per line from stdin and emitting the BMOE_* line protocol on stdout. See
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// docs/telemetry.md. Returns the process exit code.
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static int run_session_loop(const RunConfig & cfg, IMetricsSink * sink) {
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SessionConfig sc;
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sc.model_path = cfg.model_path;
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sc.n_threads = cfg.n_threads;
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sc.n_ctx = cfg.n_ctx;
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sc.n_batch = cfg.n_ctx; // one-batch prefill for any prompt that fits the context
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sc.chatml = cfg.chatml;
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sc.n_expert_used = cfg.n_expert_used; // active-expert (top-k) override; 0 = model default
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sc.moe = cfg.moe;
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std::string error;
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std::unique_ptr<Session> session = Session::open(sc, error);
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if (!session) {
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std::printf("BMOE_ERROR {\"id\":0,\"fatal\":true,\"msg\":\"%s\"}\n", json_escape(error).c_str());
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std::fflush(stdout);
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return 1;
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}
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std::printf("BMOE_READY {\"load_s\":%.3f,\"arch\":\"%s\",\"n_ctx\":%d}\n", session->load_seconds(),
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json_escape(session->arch()).c_str(), session->n_ctx());
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std::fflush(stdout);
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std::mutex mtx;
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std::condition_variable cv;
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std::deque<SessionCmd> queue;
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std::atomic<bool> stop{false};
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// Reader thread: parse stdin lines. "cancel" is applied immediately (thread-safe) so it can
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// interrupt an in-flight generate; "generate"/"close" are queued for the main loop. EOF ends
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// the session like an explicit close.
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std::thread reader([&] {
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std::string line;
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while (std::getline(std::cin, line)) {
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std::string cmd;
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if (!json_get_string(line, "cmd", cmd)) continue;
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if (cmd == "cancel") {
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session->cancel();
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continue;
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}
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SessionCmd c;
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if (cmd == "close") {
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c.kind = SessionCmd::kClose;
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} else if (cmd == "generate") {
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c.kind = SessionCmd::kGenerate;
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json_get_string(line, "prompt", c.prompt);
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c.id = json_get_int(line, "id", 0);
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c.n_predict = json_get_int(line, "n_predict", cfg.n_predict);
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c.think = json_get_bool(line, "think", cfg.think);
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c.clear_kv = json_get_bool(line, "clear_kv", true);
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} else {
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continue;
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}
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{
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std::lock_guard<std::mutex> lk(mtx);
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queue.push_back(std::move(c));
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}
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cv.notify_one();
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}
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{
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std::lock_guard<std::mutex> lk(mtx);
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stop.store(true);
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queue.push_back({SessionCmd::kClose, "", 0, 0, true, true});
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}
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cv.notify_one();
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});
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int rc = 0;
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for (;;) {
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SessionCmd cmd;
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{
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std::unique_lock<std::mutex> lk(mtx);
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cv.wait(lk, [&] { return !queue.empty(); });
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cmd = std::move(queue.front());
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queue.pop_front();
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}
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if (cmd.kind == SessionCmd::kClose) break;
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std::printf("BMOE_BEGIN {\"id\":%d}\n", cmd.id);
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std::fflush(stdout);
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auto on_token = [&](const TokenMetrics & m) {
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if (m.read_bytes || m.io_ms > 0.0)
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std::printf("BMOE_LOAD {\"mb\":%.2f,\"ms\":%.1f}\n", m.read_bytes / (1024.0 * 1024.0), m.io_ms);
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std::printf("BMOE_PROGRESS {\"step\":%d,\"steps\":%d,\"wall_ms\":%.1f,\"io_ms\":%.1f,"
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"\"compute_ms\":%.1f,\"mgmt_ms\":%.1f,\"stall_ms\":%.1f,\"read_mb\":%.2f,"
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"\"cache_hit_pct\":%.1f,\"text\":\"%s\"}\n",
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m.step, m.steps, m.wall_ms, m.io_ms, m.compute_ms, m.mgmt_ms, m.stall_ms,
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m.read_bytes / (1024.0 * 1024.0), m.cache_hit_pct, json_escape(m.text).c_str());
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std::fflush(stdout);
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};
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GenerateRequest req;
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req.prompt = cmd.prompt;
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req.n_predict = cmd.n_predict;
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req.think = cmd.think;
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req.clear_kv = cmd.clear_kv;
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RunResult r = session->generate(req, on_token, sink);
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if (!r) {
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// A bad request (empty prompt, context overflow) leaves the session usable; a decode
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// failure means the context is compromised, so end the loop.
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bool recoverable = r.error.find("exceeds the session n_ctx") != std::string::npos ||
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r.error.find("empty prompt") != std::string::npos;
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std::printf("BMOE_ERROR {\"id\":%d,\"fatal\":%s,\"msg\":\"%s\"}\n", cmd.id, recoverable ? "false" : "true",
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json_escape(r.error).c_str());
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std::fflush(stdout);
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if (!recoverable) {
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rc = 1;
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break;
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}
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continue;
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}
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const RunSummary & s = r.summary;
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std::printf("BMOE_DONE {\"id\":%d,\"cancelled\":%s,\"tokens\":%d,\"tok_s\":%.3f,\"prefill_s\":%.3f,"
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"\"prefill_tps\":%.2f,\"load_s\":%.3f,\"cache_hit_pct\":%.1f,\"n_prompt\":%d,\"n_past\":%d,"
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"\"compute_s_tok\":%.4f,\"io_s_tok\":%.4f,\"cache_resident_mib\":%.0f,\"cache_budget_mib\":%.0f,"
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"\"read_mib\":%.1f,\"stall_s_tok\":%.4f,\"mgmt_s_tok\":%.4f,\"text\":\"%s\"}\n",
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cmd.id, r.cancelled ? "true" : "false", s.n_generated, s.tokens_per_second, s.prefill_seconds,
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(s.prefill_seconds > 0 ? s.n_prompt / s.prefill_seconds : 0.0), s.load_seconds, s.cache_hit_pct,
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s.n_prompt, s.n_past, s.moe_compute_s_per_token, s.moe_io_s_per_token, s.cache_resident_mib,
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s.cache_budget_mib, s.moe_read_mib, s.moe_stall_s_per_token, s.moe_mgmt_s_per_token,
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json_escape(r.generated_text).c_str());
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std::fflush(stdout);
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}
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// Unblock the reader if it is still waiting on stdin (it exits on EOF; on an explicit close
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// it has usually already returned). Detach so process exit is not held up by a blocking read.
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if (reader.joinable()) reader.detach();
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return rc;
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}
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static void print_usage(const char * argv0) {
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std::printf(
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"usage: %s -m <model.gguf> [options]\n"
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"\n"
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" -m, --model PATH gguf model (required)\n"
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" -p, --prompt STR prompt text\n"
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" -n, --n-predict N tokens to generate (default 32)\n"
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" -t, --threads N compute threads (default 4)\n"
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" -c, --ctx-size N context size (default 2048)\n"
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" --chatml wrap the prompt in the model family's chat turn (gemma/chatml)\n"
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" --no-think render the chat template with reasoning disabled\n"
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" --progress emit machine telemetry (one JSON line per token)\n"
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" --session keep the model loaded and serve JSON prompt requests from stdin\n"
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" --csv PATH also write per-token metrics as CSV\n"
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" --n-expert-used N override active MoE experts per token (top-k); lower = faster\n"
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" but changes the output (quality). 0 = model default\n"
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"\n"
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" MoE expert streaming:\n"
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" --moe-stream stream only the routed experts per token (MoE models)\n"
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" --cache-mb N|auto LRU expert cache budget in MiB (0=off, or >=%d); auto=size to device\n"
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" --cache-floor-mb N with --cache-mb auto: RAM to leave free (default 1536)\n"
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" --cache-ceil-mb N with --cache-mb auto: upper bound on the budget (0 = no cap)\n"
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" --io-threads N parallel expert-read lanes [1..%d] (default 4)\n"
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" --no-odirect do not bypass the page cache\n"
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" --no-warm-dense skip the load-time sweep that page-caches the non-expert weights\n"
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" --load-all debug: read ALL experts each token (A/B baseline)\n"
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" --force-cache allow a cache-mb in the pathological band\n"
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" --overlap overlap async expert reads with FFN compute (needs the fork)\n"
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" --prefetch K temporally prefetch the next K layers' experts (needs the cache)\n"
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" --list-archs print supported MoE architectures and exit\n"
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"\n"
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" Env overrides (flag wins): BMOE_CACHE_MB, BMOE_IO_THREADS, BMOE_PROGRESS, BMOE_OVERLAP, BMOE_PREFETCH, "
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"BMOE_N_EXPERT_USED\n",
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argv0, MoeStreamConfig::cache_min_mb, MoeStreamConfig::io_threads_max);
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}
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int main(int argc, char ** argv) {
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RunConfig cfg;
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std::string csv_path;
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bool session_mode = false;
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for (int i = 1; i < argc; ++i) {
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std::string a = argv[i];
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auto next = [&](const char * what) -> const char * {
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if (i + 1 >= argc) {
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std::fprintf(stderr, "missing value for %s\n", what);
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std::exit(1);
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}
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return argv[++i];
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};
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if (a == "-m" || a == "--model")
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cfg.model_path = next("-m");
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else if (a == "-p" || a == "--prompt")
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cfg.prompt = next("-p");
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else if (a == "-n" || a == "--n-predict")
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cfg.n_predict = std::atoi(next("-n"));
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else if (a == "-t" || a == "--threads")
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cfg.n_threads = std::atoi(next("-t"));
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else if (a == "-c" || a == "--ctx-size")
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cfg.n_ctx = std::atoi(next("-c"));
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else if (a == "--n-expert-used")
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cfg.n_expert_used = std::atoi(next("--n-expert-used"));
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else if (a == "--chatml")
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cfg.chatml = true;
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else if (a == "--no-think")
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cfg.think = false;
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else if (a == "--progress")
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cfg.progress = true;
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else if (a == "--session")
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session_mode = true;
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else if (a == "--csv")
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csv_path = next("--csv");
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else if (a == "--moe-stream")
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cfg.moe.enabled = true;
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else if (a == "--cache-mb") {
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const std::string v = next("--cache-mb");
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if (v == "auto")
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cfg.moe.cache_auto = true;
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else
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cfg.moe.cache_mb = std::atoi(v.c_str());
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} else if (a == "--cache-floor-mb")
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cfg.moe.cache_floor_mb = std::atoi(next("--cache-floor-mb"));
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else if (a == "--cache-ceil-mb")
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cfg.moe.cache_ceil_mb = std::atoi(next("--cache-ceil-mb"));
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else if (a == "--io-threads")
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cfg.moe.io_threads = std::atoi(next("--io-threads"));
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else if (a == "--no-odirect")
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cfg.moe.o_direct = false;
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else if (a == "--no-warm-dense")
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cfg.moe.warm_dense = false;
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else if (a == "--load-all")
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cfg.moe.load_all = true;
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else if (a == "--force-cache")
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cfg.moe.force_cache = true;
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else if (a == "--overlap")
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cfg.moe.overlap = true;
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else if (a == "--prefetch")
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cfg.moe.prefetch_layers = std::atoi(next("--prefetch"));
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else if (a == "--prefetch-sync") // debug: complete speculative reads synchronously
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cfg.moe.prefetch_sync = true;
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else if (a == "--list-archs") {
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std::printf("supported MoE architectures:\n");
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for (int k = 0; k < n_moe_recipes(); ++k)
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std::printf(" %s\n", moe_recipe_at(k)->arch);
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return 0;
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} else if (a == "-h" || a == "--help") {
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||
print_usage(argv[0]);
|
||
return 0;
|
||
} else {
|
||
std::fprintf(stderr, "unknown arg: %s\n", a.c_str());
|
||
print_usage(argv[0]);
|
||
return 1;
|
||
}
|
||
}
|
||
|
||
// Env overrides (flag wins: only apply when the flag left the default).
|
||
if (cfg.moe.cache_mb == 0 && !cfg.moe.cache_auto) cfg.moe.cache_mb = env_int("BMOE_CACHE_MB", 0);
|
||
if (cfg.moe.io_threads == 4) cfg.moe.io_threads = env_int("BMOE_IO_THREADS", 4);
|
||
if (!cfg.progress) cfg.progress = env_int("BMOE_PROGRESS", 0) != 0;
|
||
if (!cfg.moe.overlap) cfg.moe.overlap = env_int("BMOE_OVERLAP", 0) != 0;
|
||
if (cfg.moe.prefetch_layers == 0) cfg.moe.prefetch_layers = env_int("BMOE_PREFETCH", 0);
|
||
if (cfg.n_expert_used == 0) cfg.n_expert_used = env_int("BMOE_N_EXPERT_USED", 0);
|
||
|
||
if (cfg.model_path.empty()) {
|
||
print_usage(argv[0]);
|
||
return 1;
|
||
}
|
||
|
||
ValidationResult vr = validate(cfg);
|
||
if (!vr) {
|
||
std::fprintf(stderr, "config error: %s\n", vr.error.c_str());
|
||
return 1;
|
||
}
|
||
|
||
std::unique_ptr<IMetricsSink> sink;
|
||
if (!csv_path.empty()) {
|
||
sink.reset(make_csv_metrics_sink(csv_path));
|
||
if (!sink) std::fprintf(stderr, "warning: could not open csv %s\n", csv_path.c_str());
|
||
}
|
||
|
||
// Interactive session: one persistent process serves many prompts over stdin, keeping the
|
||
// model loaded and the expert cache warm between them. Prompts arrive as JSON requests, not
|
||
// via -p. This is a superset of --progress output (BMOE_* lines), so it never streams inline.
|
||
if (session_mode) return run_session_loop(cfg, sink.get());
|
||
|
||
if (!cfg.progress) {
|
||
std::printf("%s", cfg.prompt.c_str());
|
||
std::fflush(stdout);
|
||
}
|
||
|
||
auto on_token = [&](const TokenMetrics & m) {
|
||
if (cfg.progress) {
|
||
if (m.read_bytes || m.io_ms > 0.0)
|
||
std::printf("BMOE_LOAD {\"mb\":%.2f,\"ms\":%.1f}\n", m.read_bytes / (1024.0 * 1024.0), m.io_ms);
|
||
std::printf("BMOE_PROGRESS {\"step\":%d,\"steps\":%d,\"wall_ms\":%.1f,\"io_ms\":%.1f,"
|
||
"\"compute_ms\":%.1f,\"mgmt_ms\":%.1f,\"stall_ms\":%.1f,\"read_mb\":%.2f,"
|
||
"\"cache_hit_pct\":%.1f,\"text\":\"%s\"}\n",
|
||
m.step, m.steps, m.wall_ms, m.io_ms, m.compute_ms, m.mgmt_ms, m.stall_ms,
|
||
m.read_bytes / (1024.0 * 1024.0), m.cache_hit_pct, json_escape(m.text).c_str());
|
||
std::fflush(stdout);
|
||
} else {
|
||
std::fwrite(m.piece.data(), 1, m.piece.size(), stdout);
|
||
std::fflush(stdout);
|
||
}
|
||
};
|
||
|
||
RunResult r = run(cfg, on_token, sink.get());
|
||
if (!r) {
|
||
std::fprintf(stderr, "\nerror: %s\n", r.error.c_str());
|
||
return 1;
|
||
}
|
||
|
||
const RunSummary & s = r.summary;
|
||
if (cfg.progress) {
|
||
std::printf("=== answer ===\n%s\n=== perf ===\n", r.generated_text.c_str());
|
||
} else {
|
||
std::printf("\n\n");
|
||
}
|
||
std::printf("generation: %d tokens, %.3f s/token (%.3f tok/s)\n", s.n_generated, s.s_per_token,
|
||
s.tokens_per_second);
|
||
if (s.n_prompt > 0) {
|
||
double prefill_tps = s.prefill_seconds > 0 ? s.n_prompt / s.prefill_seconds : 0.0;
|
||
std::printf("prefill: %d tokens, %.3f s (%.1f tok/s) | model load %.3f s | TTFT %.3f s\n", s.n_prompt,
|
||
s.prefill_seconds, prefill_tps, s.load_seconds, s.load_seconds + s.prefill_seconds);
|
||
}
|
||
if (cfg.moe.enabled) {
|
||
std::printf("moe-stream: read %.1f MiB (%.2f MiB/token), decode %.3f s/token "
|
||
"(compute %.3f + cache mgmt %.3f + flash I/O %.3f s/token, %.0f MiB/s)\n",
|
||
s.moe_read_mib, s.n_generated ? s.moe_read_mib / s.n_generated : 0.0, s.s_per_token,
|
||
s.moe_compute_s_per_token, s.moe_mgmt_s_per_token, s.moe_io_s_per_token,
|
||
s.moe_io_seconds > 0 ? s.moe_read_mib / s.moe_io_seconds : 0.0);
|
||
if (s.cache_hit_pct >= 0.0) {
|
||
if (cfg.moe.cache_auto)
|
||
std::printf("moe-cache: %.1f%% hit, resident %.1f MiB, budget %.0f MiB (auto, resized %lld×)\n",
|
||
s.cache_hit_pct, s.cache_resident_mib, s.cache_budget_mib, s.cache_resizes);
|
||
else
|
||
std::printf("moe-cache: %.1f%% hit, resident %.1f MiB\n", s.cache_hit_pct, s.cache_resident_mib);
|
||
}
|
||
if (cfg.moe.overlap)
|
||
std::printf("moe-overlap: stall %.3f s/token (flash reads overlapped with FFN compute)\n",
|
||
s.moe_stall_s_per_token);
|
||
if (cfg.moe.prefetch_layers > 0)
|
||
std::printf("moe-prefetch: %.1f MiB speculative, %lld/%lld experts useful (%.0f%%)\n", s.moe_spec_read_mib,
|
||
s.moe_spec_useful, s.moe_spec_experts,
|
||
s.moe_spec_experts > 0 ? 100.0 * s.moe_spec_useful / s.moe_spec_experts : 0.0);
|
||
}
|
||
return 0;
|
||
}
|