Files
llama.cpp/ggml/src/ggml-hexagon/htp/worker-pool.c
T
63d2fc46e1 Add experimental ggml-hexagon backend for the Hexagon NPU (#16547)
* model: add support for extra bufs for all devices

* hexagon: add experimental ggml-hexagon backend for the Hexagon NPU

This commit introduces a new experimental backend `ggml-hexagon` with support for the Hexagon NPU.

Highlights:
- Supports Hexagon versions: v73, v75, v79, and v81
- Targets Android devices based on Snapdragon SoCs: Gen3, 8-Elite, and 8-Elite Gen5
- Supports Q4_0, Q8_0, MXFP4, and FP32 data types
- Implements core LLM ops: MUL_MAT/MUL_MAT_ID, ADD/SUB/MUL/ADD_ID, RMS_NORM, ROPE, GLU/SWIGLU, SOFTMAX

**Note:** This backend is experimental and may exhibit instability or limited performance across supported devices.
It is intended for early testing and feedback from llama.cpp/ggml developer and user community.

Co-Authored-By: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-Authored-By: Todor Boinovski <todorb@qti.qualcomm.com>

* hexagon: fix format checker errors

* hexagon: update readme and cmake presets

* ci: add android-ndk-build jobs that build plain ARM64 and Snapdragon versions

* hexagon: add simple graph optimizer for stacking MUL_MAT ops with the same input

* hexagon: move ADB helper scripts into scripts/snapdragon/adb

* hexagon: replace all f/printfs with GGML_LOG_...

* readme: add hexagon to the list supported backends

* hexagon: stack malmuts with quantized inputs only

* hexagon: add TODO for fixing issues in hexagon_graph_optimize

* hexagon: update to hex-sdk 6.4.0 and add scripts for running on QDC

* scripts: fix lint errors

* scripts: update qdc pytest script to make linter happy

* hexagon: add reduce sum in fp32

* hexagon: reduce number of vector stores in matmul output

* hexagon: remove the need for vdelta in reduce-multiply-x8

* hexagon: consistent use of reduce_sum_fp32 for row_sums

* hexagon: some more matmul optimizations and comments

Optimize cases where tensor dims are not multiple of 1024 (e.g in Qwen models).
We've handled those cases already but at a higher overhead.

* hexagon: update cmake presets

* hexagon: add OPMASK support for run-bench.sh wrapper

* hexagon: update to use GGML_BACKEND_API

* hexagon: remove unused logic for setting tensor flags for the views

* hexagon: add asserts to set/get_tensor to make sure we handle complete tensors

Same asserts as the CPU backend.

* hexagon: use cpy_tensor slow path for non-host buffers

* hexagon: error checks in the buffer allocator

* cmake: move include(extProj) under ggml-hexagon

* hexagon: don't forget to delete the backend on free

* hexagon: set/get_tensor size assert apply only to quantized tensors

* hexagon: reintroduce HEX_VERBOSE wrapper for GGML_LOG_DEBUG for now

GGML_LOG_DEBUG is always enabled for test-backend-ops and the output gets in the way.
Ideally we need a bit more finer log levels.

* docs: typos in hexagon developer docs (libggm-...)

* hexagon: overhaul error handling in the session/device allocation

this should handle all failure paths in the session allocation.

* hexagon: update cmake presets to enable fp16 vectors

* hexagon: remove unused time_usec function

* hexagon: don't forget to release buffer contexts

* hexagon: fixed indents in hvx-utils (missed clang-format auto-format failure)

* hexagon: remove custom can_repeat function and use ggml_can_repeat

---------

Co-authored-by: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-authored-by: Todor Boinovski <todorb@qti.qualcomm.com>
2025-10-22 13:47:09 -07:00

298 lines
8.4 KiB
C

#include "worker-pool.h"
#include <qurt.h>
#include <stdatomic.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#ifdef HTP_DEBUG
# define FARF_HIGH 1
#endif
#include "HAP_farf.h"
#define WORKER_THREAD_STACK_SZ (2 * 16384)
#define LOWEST_USABLE_QURT_PRIO (254)
struct worker_pool_s;
// internal structure kept in thread-local storage per instance of worker pool
typedef struct {
struct worker_pool_s * pool;
unsigned int id;
} worker_context_t;
// internal structure kept in thread-local storage per instance of worker pool
typedef struct worker_pool_s {
worker_pool_job_t job[MAX_NUM_WORKERS]; // list of job descriptors
qurt_thread_t thread[MAX_NUM_WORKERS]; // thread ID's of the workers
worker_context_t context[MAX_NUM_WORKERS]; // worker contexts
void * stack[MAX_NUM_WORKERS]; // thread stack pointers
unsigned int n_threads; // number of workers in this pool
atomic_uint seqn; // seqno used to detect new jobs
atomic_uint next_job; // next job index
atomic_uint n_pending; // number of pending jobs
atomic_uint n_jobs; // number of current jobs
atomic_bool killed; // threads need to exit
} worker_pool_t;
static void worker_pool_main(void * context) {
worker_context_t * me = (worker_context_t *) context;
worker_pool_t * pool = me->pool;
FARF(HIGH, "worker-pool: thread %u started", me->id);
unsigned int prev_seqn = 0;
while (!atomic_load(&pool->killed)) {
unsigned int seqn = atomic_load(&pool->seqn);
if (seqn == prev_seqn) {
// Nothing to do
qurt_futex_wait(&pool->seqn, prev_seqn);
continue;
}
// New job
prev_seqn = seqn;
unsigned int n = atomic_load(&pool->n_jobs);
unsigned int i = atomic_fetch_add(&pool->next_job, 1);
if (i >= n) {
// Spurios wakeup
continue;
}
pool->job[i].func(n, i, pool->job[i].data);
atomic_fetch_sub(&pool->n_pending, 1);
}
FARF(HIGH, "worker-pool: thread %u stopped", me->id);
}
AEEResult worker_pool_init_with_stack_size(worker_pool_context_t * context, uint32_t n_threads, uint32_t stack_size) {
int err = 0;
if (NULL == context) {
FARF(ERROR, "NULL context passed to worker_pool_init().");
return AEE_EBADPARM;
}
// Allocations
int size = (stack_size * n_threads) + (sizeof(worker_pool_t));
unsigned char * mem_blob = (unsigned char *) malloc(size);
if (!mem_blob) {
FARF(ERROR, "Could not allocate memory for worker pool!!");
return AEE_ENOMEMORY;
}
worker_pool_t * me = (worker_pool_t *) (mem_blob + stack_size * n_threads);
// name for the first worker, useful in debugging threads
char name[19];
snprintf(name, 12, "0x%8x:", (int) me);
strcat(name, "worker0");
me->n_threads = n_threads;
// initializations
for (unsigned int i = 0; i < me->n_threads; i++) {
me->stack[i] = NULL;
me->thread[i] = 0;
me->context[i].id = i;
me->context[i].pool = me;
}
// initialize job queue
me->n_pending = 0;
me->n_jobs = 0;
me->next_job = 0;
me->seqn = 0;
me->killed = 0;
// launch the workers
qurt_thread_attr_t attr;
qurt_thread_attr_init(&attr);
for (unsigned int i = 0; i < me->n_threads; i++) {
// set up stack
me->stack[i] = mem_blob;
mem_blob += stack_size;
qurt_thread_attr_set_stack_addr(&attr, me->stack[i]);
qurt_thread_attr_set_stack_size(&attr, stack_size);
// set up name
qurt_thread_attr_set_name(&attr, name);
name[17] = (name[17] + 1);
// name threads context:worker0, context:worker1, .. (recycle at 9, but num threads should be less than that anyway)
if (name[17] > '9') {
name[17] = '0';
}
// set up priority - by default, match the creating thread's prio
int prio = qurt_thread_get_priority(qurt_thread_get_id());
if (prio < 1) {
prio = 1;
}
if (prio > LOWEST_USABLE_QURT_PRIO) {
prio = LOWEST_USABLE_QURT_PRIO;
}
qurt_thread_attr_set_priority(&attr, prio);
// launch
err = qurt_thread_create(&me->thread[i], &attr, worker_pool_main, (void *) &me->context[i]);
if (err) {
FARF(ERROR, "Could not launch worker threads!");
worker_pool_release((worker_pool_context_t *) &me);
return AEE_EQURTTHREADCREATE;
}
}
*context = (worker_pool_context_t *) me;
return AEE_SUCCESS;
}
AEEResult worker_pool_init(worker_pool_context_t * context, uint32_t n_threads) {
return worker_pool_init_with_stack_size(context, n_threads, WORKER_THREAD_STACK_SZ);
}
// clean up worker pool
void worker_pool_release(worker_pool_context_t * context) {
worker_pool_t * me = (worker_pool_t *) *context;
// if no worker pool exists, return error.
if (NULL == me) {
return;
}
atomic_store(&me->killed, 1);
atomic_fetch_add(&me->seqn, 1);
qurt_futex_wake(&me->seqn, me->n_threads);
// de-initializations
for (unsigned int i = 0; i < me->n_threads; i++) {
if (me->thread[i]) {
int status;
(void) qurt_thread_join(me->thread[i], &status);
}
}
// free allocated memory (were allocated as a single buffer starting at stack[0])
if (me->stack[0]) {
free(me->stack[0]);
}
*context = NULL;
}
// run jobs
AEEResult worker_pool_run_jobs(worker_pool_context_t context, worker_pool_job_t * job, unsigned int n) {
worker_pool_t * me = (worker_pool_t *) context;
if (NULL == me) {
FARF(ERROR, "worker-pool: invalid context");
return AEE_EBADPARM;
}
if (n > me->n_threads) {
FARF(ERROR, "worker-pool: invalid number of jobs %u for n-threads %u", n, me->n_threads);
return AEE_EBADPARM;
}
memcpy(me->job, job, sizeof(worker_pool_job_t) * n);
if (n > 1) {
atomic_store(&me->next_job, 1);
atomic_store(&me->n_jobs, n);
atomic_store(&me->n_pending, n - 1);
// wake up workers
atomic_fetch_add(&me->seqn, 1);
qurt_futex_wake(&me->seqn, n - 1);
}
// main thread runs job #0
me->job[0].func(n, 0, me->job[0].data);
if (n > 1) {
while (atomic_load(&me->n_pending))
;
}
return 0;
}
// run func
AEEResult worker_pool_run_func(worker_pool_context_t context, worker_callback_t func, void * data, unsigned int n) {
worker_pool_job_t job[n];
for (unsigned int i = 0; i < n; i++) {
job[i].func = func;
job[i].data = data;
}
return worker_pool_run_jobs(context, job, n);
}
AEEResult worker_pool_set_thread_priority(worker_pool_context_t context, unsigned int prio) {
worker_pool_t * me = (worker_pool_t *) context;
// if no worker pool exists, return error.
if (!me) {
return AEE_ENOMORE;
}
int result = AEE_SUCCESS;
if (prio < 1) {
prio = 1;
}
if (prio > LOWEST_USABLE_QURT_PRIO) {
prio = LOWEST_USABLE_QURT_PRIO;
}
for (unsigned int i = 0; i < me->n_threads; i++) {
int res = qurt_thread_set_priority(me->thread[i], (unsigned short) prio);
if (0 != res) {
result = AEE_EBADPARM;
FARF(ERROR, "QURT failed to set priority of thread %d, ERROR = %d", me->thread[i], res);
}
}
return result;
}
AEEResult worker_pool_retrieve_thread_id(worker_pool_context_t context, unsigned int * tids) {
worker_pool_t * me = (worker_pool_t *) context;
if (!me) {
FARF(ERROR, "worker-pool: invalid context");
return AEE_EBADPARM;
;
}
for (int i = 0; i < me->n_threads; i++) {
tids[i] = me->thread[i];
}
return AEE_SUCCESS;
}
AEEResult worker_pool_get_thread_priority(worker_pool_context_t context, unsigned int * prio) {
worker_pool_t * me = (worker_pool_t *) context;
if (!me) {
FARF(ERROR, "worker-pool: invalid context");
return AEE_EBADPARM;
}
int priority = qurt_thread_get_priority(me->thread[0]);
if (priority > 0) {
*prio = priority;
return 0;
} else {
*prio = 0;
return AEE_EBADSTATE;
}
}