mirror of
https://github.com/ggerganov/llama.cpp.git
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threadpool : skip polling for unused threads (#9461)
* threadpool: skip polling for unused threads Currently all threads do N polling rounds even if only 1 thread is active (n_threads_cur == 1). This commit adds a check to skip the polling for unused threads (ith >= n_threads_cur). n_threads_cur is now an atomic_int to explicitly tell thread sanitizer that it is written from one thread and read from other threads (not a race conditions). * threadpool: further simplify and improve ggml_barrier Avoid using strict memory order while polling, yet make sure that all threads go through full memory barrier (memory fence) on ggml_barrier entrace and exit. * threads: add simple barrier test This test does lots of small, parallel matmul ops where the barriers in between dominate the overhead. * threadpool: improve thread sync for new-graphs Using the same tricks as ggml_barrier. All the polling is done with relaxed memory order to keep it efficient, once the new graph is detected we do full fence using read-modify-write with strict memory order. * threadpool: improve abort handling Do not use threadpool->ec (exit code) to decide whether to exit the compute loop. threadpool->ec is not atomic which makes thread-sanitizer rightfully unhappy about it. Instead introduce atomic threadpool->abort flag used for this. This is consistent with how we handle threadpool->stop or pause. While at it add an explicit atomic_load for n_threads_cur for consistency. * test-barrier: release threadpool before releasing the context fixes use-after-free detected by gcc thread-sanitizer on x86-64 for some reason llvm sanitizer is not detecting this issue.
This commit is contained in:
parent
503147a9f9
commit
0226613853
126
ggml/src/ggml.c
126
ggml/src/ggml.c
@ -2013,10 +2013,11 @@ struct ggml_threadpool {
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// these are atomic as an annotation for thread-sanitizer
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atomic_bool stop; // Used for stopping the threadpool altogether
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atomic_bool pause; // Used for pausing the threadpool or individual threads
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atomic_bool abort; // Used for aborting processing of a graph
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struct ggml_compute_state * workers; // per thread state
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int n_threads_max; // number of threads in the pool
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int n_threads_cur; // number of threads used in the current graph
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atomic_int n_threads_cur; // number of threads used in the current graph
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int32_t prio; // Scheduling priority
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uint32_t poll; // Polling level (0 - no polling)
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@ -3178,41 +3179,36 @@ inline static void ggml_critical_section_start(void) {
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}
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}
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static void ggml_barrier(struct ggml_threadpool * tp) {
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int n_threads = atomic_load_explicit(&tp->n_threads_cur, memory_order_relaxed);
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if (n_threads == 1) {
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return;
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}
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#ifdef GGML_USE_OPENMP
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static void ggml_barrier(struct ggml_threadpool * threadpool) {
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if (threadpool->n_threads_cur == 1) {
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return;
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}
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#pragma omp barrier
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}
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#else
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static void ggml_barrier(struct ggml_threadpool * threadpool) {
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if (threadpool->n_threads_cur == 1) {
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return;
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}
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int n_passed = atomic_load_explicit(&tp->n_barrier_passed, memory_order_relaxed);
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atomic_int * n_barrier = &threadpool->n_barrier;
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atomic_int * n_barrier_passed = &threadpool->n_barrier_passed;
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// enter barrier (full seq-cst fence)
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int n_barrier = atomic_fetch_add_explicit(&tp->n_barrier, 1, memory_order_seq_cst);
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int n_threads = threadpool->n_threads_cur;
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int passed_old = atomic_load_explicit(n_barrier_passed, memory_order_relaxed);
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if (atomic_fetch_add(n_barrier, 1) == n_threads - 1) {
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int last = 0;
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if (n_barrier == (n_threads - 1)) {
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// last thread
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atomic_store(n_barrier, 0);
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atomic_fetch_add_explicit(n_barrier_passed, 1, memory_order_relaxed);
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atomic_store_explicit(&tp->n_barrier, 0, memory_order_relaxed);
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last = 1;
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} else {
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// wait for other threads
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while (true) {
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if (atomic_load_explicit(n_barrier_passed, memory_order_relaxed) != passed_old) {
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return;
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}
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while (atomic_load_explicit(&tp->n_barrier_passed, memory_order_relaxed) == n_passed) {
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ggml_thread_cpu_relax();
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}
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}
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}
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// exit barrier (full seq-cst fence)
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atomic_fetch_add_explicit(&tp->n_barrier_passed, last, memory_order_seq_cst);
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#endif
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}
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// TODO: make this somehow automatically executed
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// some sort of "sentry" mechanism
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@ -19933,34 +19929,33 @@ struct ggml_cplan ggml_graph_plan(
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static thread_ret_t ggml_graph_compute_thread(void * data) {
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struct ggml_compute_state * state = (struct ggml_compute_state *) data;
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struct ggml_threadpool * tp = state->threadpool;
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const struct ggml_cgraph * cgraph = state->threadpool->cgraph;
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const struct ggml_cplan * cplan = state->threadpool->cplan;
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const struct ggml_cgraph * cgraph = tp->cgraph;
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const struct ggml_cplan * cplan = tp->cplan;
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set_numa_thread_affinity(state->ith);
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struct ggml_compute_params params = {
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/*.ith =*/ state->ith,
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/*.nth =*/ state->threadpool->n_threads_cur,
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/*.nth =*/ atomic_load_explicit(&tp->n_threads_cur, memory_order_relaxed),
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/*.wsize =*/ cplan->work_size,
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/*.wdata =*/ cplan->work_data,
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/*.threadpool=*/ state->threadpool,
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/*.threadpool=*/ tp,
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};
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for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) {
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for (int node_n = 0; node_n < cgraph->n_nodes && !tp->abort; node_n++) {
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struct ggml_tensor * node = cgraph->nodes[node_n];
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ggml_compute_forward(¶ms, node);
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if (state->ith == 0 && cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) {
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state->threadpool->ec = GGML_STATUS_ABORTED;
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if (state->ith == 0 && cplan->abort_callback &&
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cplan->abort_callback(cplan->abort_callback_data)) {
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tp->abort = true;
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tp->ec = GGML_STATUS_ABORTED;
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}
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ggml_barrier(state->threadpool);
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if (state->threadpool->ec != GGML_STATUS_SUCCESS) {
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break;
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}
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}
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return 0;
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@ -19968,7 +19963,15 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
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#ifndef GGML_USE_OPENMP
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static inline bool ggml_graph_compute_ready(struct ggml_compute_state * state) {
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// check if thread is active
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static inline bool ggml_graph_compute_thread_active(struct ggml_compute_state * state) {
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struct ggml_threadpool * threadpool = state->threadpool;
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int n_threads = atomic_load_explicit(&threadpool->n_threads_cur, memory_order_relaxed);
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return (state->ith < n_threads);
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}
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// check if thread is ready to proceed (exit from polling or sleeping)
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static inline bool ggml_graph_compute_thread_ready(struct ggml_compute_state * state) {
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struct ggml_threadpool * threadpool = state->threadpool;
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if (state->pending || threadpool->stop || threadpool->pause) { return true; }
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@ -19976,21 +19979,34 @@ static inline bool ggml_graph_compute_ready(struct ggml_compute_state * state) {
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// check for new graph/work
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int new_graph = atomic_load_explicit(&threadpool->n_graph, memory_order_relaxed);
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if (new_graph != state->last_graph) {
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state->pending = (state->ith < threadpool->n_threads_cur);
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state->pending = ggml_graph_compute_thread_active(state);
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state->last_graph = new_graph;
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}
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return state->pending;
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}
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// sync thread state after polling
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static inline void ggml_graph_compute_thread_sync(struct ggml_compute_state * state) {
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struct ggml_threadpool * threadpool = state->threadpool;
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// this should just be atomic_thread_fence(seq_cst) but it confuses thread-sanitizer
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// so instead we just use a dummy read-modify-write
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atomic_fetch_add_explicit(&threadpool->n_graph, 0, memory_order_seq_cst);
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}
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static inline bool ggml_graph_compute_poll_for_work(struct ggml_compute_state * state) {
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struct ggml_threadpool * threadpool = state->threadpool;
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// Skip polling for unused threads
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if (!ggml_graph_compute_thread_active(state)) {
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return state->pending;
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}
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// This seems to make 0 ... 100 a decent range for polling level across modern processors.
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// Perhaps, we can adjust it dynamically based on load and things.
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const uint64_t n_rounds = 1024UL * 128 * threadpool->poll;
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for (uint64_t i=0; !ggml_graph_compute_ready(state) && i<n_rounds; i++) {
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for (uint64_t i=0; !ggml_graph_compute_thread_ready(state) && i < n_rounds; i++) {
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// No new work. Keep polling.
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ggml_thread_cpu_relax();
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}
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@ -20002,13 +20018,14 @@ static inline bool ggml_graph_compute_check_for_work(struct ggml_compute_state *
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struct ggml_threadpool * threadpool = state->threadpool;
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if (ggml_graph_compute_poll_for_work(state)) {
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ggml_graph_compute_thread_sync(state);
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return state->pending;
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}
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ggml_mutex_lock_shared(&threadpool->mutex);
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while (!ggml_graph_compute_ready(state)) {
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while (!ggml_graph_compute_thread_ready(state)) {
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// No new work. Wait for the signal.
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GGML_PRINT_DEBUG("thread #%d waiting for work\n", state->ith);
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GGML_PRINT_DEBUG("thread #%d waiting for work (sleeping)\n", state->ith);
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ggml_cond_wait(&threadpool->cond, &threadpool->mutex);
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}
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ggml_mutex_unlock_shared(&threadpool->mutex);
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@ -20055,13 +20072,20 @@ static thread_ret_t ggml_graph_compute_secondary_thread(void* data) {
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}
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// Start processing new graph
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static void ggml_graph_compute_kickoff(struct ggml_threadpool * threadpool)
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static void ggml_graph_compute_kickoff(struct ggml_threadpool * threadpool, int n_threads)
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{
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// always take the mutex here because the worker threads are doing hybrid poll/wait
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// Always take the mutex here because the worker threads are doing hybrid poll/wait
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ggml_mutex_lock(&threadpool->mutex);
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atomic_fetch_add_explicit(&threadpool->n_graph, 1, memory_order_relaxed);
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GGML_PRINT_DEBUG("threadpool: n_threads_cur %d n_threads %d\n", threadpool->n_threads_cur, n_threads);
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// Update the number of active threads
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atomic_store_explicit(&threadpool->n_threads_cur, n_threads, memory_order_relaxed);
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// Indicate the graph is ready to be processed
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// We need the full seq-cst fence here because of the polling threads (used in thread_sync)
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atomic_fetch_add_explicit(&threadpool->n_graph, 1, memory_order_seq_cst);
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if (threadpool->pause) {
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// Update main thread prio and affinity to match the threadpool settings
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@ -20120,6 +20144,7 @@ static struct ggml_threadpool * ggml_threadpool_new_impl(
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threadpool->current_chunk = 0;
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threadpool->stop = false;
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threadpool->pause = tpp->paused;
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threadpool->abort = false;
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threadpool->workers = NULL;
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threadpool->n_threads_max = tpp->n_threads;
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threadpool->n_threads_cur = tpp->n_threads;
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@ -20195,15 +20220,11 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl
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// No worker threads should be accessing the parameters below at this stage
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threadpool->cgraph = cgraph;
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threadpool->cplan = cplan;
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threadpool->n_threads_cur = n_threads;
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threadpool->current_chunk = 0;
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threadpool->abort = false;
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threadpool->ec = GGML_STATUS_SUCCESS;
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}
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if (n_threads > threadpool->n_threads_max) {
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GGML_PRINT("WARNING: cplan is requesting more threads than the threadpool contains. Expect a bad time!\n");
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}
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#ifdef GGML_USE_OPENMP
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if (n_threads > 1) {
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#pragma omp parallel num_threads(n_threads)
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@ -20212,7 +20233,7 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl
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{
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// update the number of threads from the actual number of threads that we got from OpenMP
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n_threads = omp_get_num_threads();
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threadpool->n_threads_cur = n_threads;
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atomic_store_explicit(&threadpool->n_threads_cur, n_threads, memory_order_relaxed);
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}
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ggml_graph_compute_thread(&threadpool->workers[omp_get_thread_num()]);
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@ -20221,8 +20242,13 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl
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ggml_graph_compute_thread(&threadpool->workers[0]);
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}
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#else
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if (n_threads > threadpool->n_threads_max) {
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GGML_PRINT("WARNING: cplan requested more threads (%d) than available (%d)\n", n_threads, threadpool->n_threads_max);
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n_threads = threadpool->n_threads_max;
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}
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// Kick all threads to start the new graph
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ggml_graph_compute_kickoff(threadpool);
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ggml_graph_compute_kickoff(threadpool, n_threads);
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// This is a work thread too
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ggml_graph_compute_thread(&threadpool->workers[0]);
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@ -119,6 +119,7 @@ llama_target_and_test(test-grammar-parser.cpp)
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llama_target_and_test(test-llama-grammar.cpp)
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llama_target_and_test(test-grammar-integration.cpp)
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llama_target_and_test(test-grad0.cpp)
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llama_target_and_test(test-barrier.cpp)
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# llama_target_and_test(test-opt.cpp) # SLOW
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llama_target_and_test(test-backend-ops.cpp)
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93
tests/test-barrier.cpp
Normal file
93
tests/test-barrier.cpp
Normal file
@ -0,0 +1,93 @@
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#include "ggml.h"
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#include "ggml-backend.h"
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#include <chrono>
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#include <iostream>
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#include <cstdio>
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#include <cstdlib>
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#include <cassert>
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#include <vector>
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#define MAX_NARGS 2
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int main(int argc, char *argv[]) {
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int n_threads = 4;
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int n_rounds = 100;
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if (argc > 1) {
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n_threads = std::atoi(argv[1]);
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}
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if (argc > 2) {
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n_rounds = std::atoi(argv[2]);
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}
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struct ggml_init_params params = {
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/* .mem_size = */ 1024*1024*1024,
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/* .mem_buffer = */ NULL,
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/* .no_alloc = */ false,
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};
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struct ggml_context * ctx = ggml_init(params);
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// Create graph
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struct ggml_cgraph * gf = ggml_new_graph(ctx);
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// Lots of small, parallel ops where barriers in between will dominate
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struct ggml_tensor * out = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 64);
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for (int i = 0; i < 1000; i++) {
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struct ggml_tensor * a = ggml_new_tensor_2d(ctx, GGML_TYPE_Q4_0, 64, 128);
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out = ggml_mul_mat(ctx, a, out);
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struct ggml_tensor * d = ggml_new_tensor_2d(ctx, GGML_TYPE_Q4_0, 128, 64);
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out = ggml_mul_mat(ctx, d, out);
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}
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ggml_build_forward_expand(gf, out);
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int n_nodes = ggml_graph_n_nodes(gf);
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// Create threadpool
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struct ggml_threadpool_params tpp = ggml_threadpool_params_default(n_threads);
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struct ggml_threadpool* threadpool = ggml_threadpool_new(&tpp);
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if (!threadpool) {
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fprintf(stderr, "threadpool create failed : n_threads %d\n", n_threads);
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exit(1);
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}
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// Create compute plan
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struct ggml_cplan cplan = ggml_graph_plan(gf, n_threads, threadpool);
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std::vector<uint8_t> work_data(cplan.work_size);
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cplan.work_data = work_data.data();
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std::cerr << "graph-compute with"
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<< "\n n_threads: " << n_threads
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<< "\n n_nodes: " << n_nodes
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<< "\n n_rounds: " << n_rounds
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<< "\n";
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// ggml_graph_print(gf);
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// Warmup
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ggml_graph_compute(gf, &cplan);
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auto t0 = std::chrono::high_resolution_clock::now();
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for (int i=0; i < n_rounds; i++) {
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ggml_graph_compute(gf, &cplan);
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}
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auto t1 = std::chrono::high_resolution_clock::now();
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auto usec = std::chrono::duration_cast<std::chrono::microseconds>(t1-t0).count();
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auto nsec = std::chrono::duration_cast<std::chrono::nanoseconds>(t1-t0).count();
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std::cerr << "graph-compute took " << usec << " usec "
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<< "\n " << (float) usec / n_rounds << " usec per-iter"
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<< "\n " << (float) nsec / (n_rounds * n_nodes) << " nsec per-node"
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<< "\n";
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ggml_threadpool_free(threadpool);
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ggml_free(ctx);
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return 0;
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}
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