hexagon: support for multi-NPU devices (IQ9, IQ10) and fully asynchronous backend (#26501)

* hexagon: use non-host bufs by default and make the backend fully async

* hex-hb: remove optional hostbuf support and fix async copy

* hex-unary: relax supported unary check

* hex-bufs: use same get_alignment for host bufs

* snapdragon: bump android_platform to 34

* hex-rows: super hacky get/set rows for q8_0

* hex-get-rows: fix q8_0

* hex-get-rows: supprot for f16 and cleanup for q8_0

* hex-get-rows: generic macros and specialized thread funcs

* hex-get-rows: add DMA pipeline, vtcm_layout and kernel params

* hex-set-rows: fix q8_0 support, add dma and tracing

* hex-tests: override nmse threshold for HTP of Q8_0 quants

* hex-fa: add support for Q8_0 with inplace dequantizers

* hex-get-rows: simplify type dispatch

* hex-rows: simplify GET/SET_ROWS DMA pipeline

* hex-async: add events, set/get-tensor-async and rest of the async api support

* hex-repack: use slice instead of expert in repack functions

* hex-cpy: update event/async-cpy logging

* hex-set-rows: optimize smaller tensors

* hex-geglu: fix perf regression with larger tensors

* hex-get-rows: add missing header

* hex-set-rows: add missing header

* hex-bufs: ressurect GGML_HEXAGON_HOSTBUF but disable it by default

* hexagon: do not reject ops with non-heaxon buffers

* hex-get-rows: apply >=32 restriction only for q8_0

* hex-res: bump vtcm acquire timeout to 10 seconds

* hex-bufs: add support for cloning buffers between sessions to speed up tensor copies

* hex-async: rework event recording and batch flushing and integrate with meta backend

* hex-bufs: improved handling of repacked tensors

* hex-repack: handle get_tensor_2d offsets

* hex-dev: add support for devices with multiple NPUs

* hex-sync: add support for sync tokens to synchronize npu devices for async splits

* hex-mmap: cleanup mmap calls and add a retry for robustness

* hex-sync: add failsafe if sync wait gets stuck

* hex-sync: use sync_seq to check for completed events

* hex-sync: rotate tokens for extra robustness

* hex-devs: add supprot for legacy device names for now

* hex-bufs: add support for auto-cloning buffers from diff sessions

* hex-fusion: simplify and optimize htp-opnode fusion handling

* hex-sync: override opnode name so that it shows up in the profiles

* hex-trace: update scripts to handle multiple devices

* hex-sync: bump the size of the opbatch queue and number of sync tokens

* hex-cpy-sync: do not explicitly flush opbatches in cpy_tensor_async and add support for cpy-dma

* hex-sync: add graph-flush threshold to avoid single op batches

* hex-sync: add sync_peer so that we can flush peers we depend on during cross-device ops

* hex-bufs: introduce tensor->extra and shadow_bufs for repacking

* hex-l2: flush tiny tensors inline

* hex-sync: use explicit l2flush for sync tokens

* hex-extra: track weight flags via tensor extra

* hex-fence: rename sync to fence

* hex-repack: proper handling of set-tensor-2d in the shadow_buf

* hex-trace: remove obsolete opstage mask that we used for profiling

* hex-env: remove obsolete use_hmx variable

* hexagon: new unified run.py and build.py and updated docs

* snapdragon: update run script to auto-escapt test-backend-op -p argument

* hex-scripts: fix trailing spaces

* hex-scripts: fix flake8 warnings

* snapdragon: cleanup dst lib/bin dirs before copying new build

* hex-ops: add support for allreduce

* hex-ar: improved allreduce with dma pipeline

* hex-ar: align macros

* hex-ar: consistent use of fence_seq

* hex-ar: add AR_SELECT env var to select ALLREDUCE kernel or fallback

* hex-ar: add proper synchronize handling for ALLREDUCE

* hex-opbatch: looks like we now just rely on backend.synchronise to flush the batches, no need to flush them by threshold

* hex-ar: bump block size to improve dma efficiency

* hex-ar: fused ALLREDUCE+ADD

* hex-ar: cleaner fence buffer management

* hex-ar: futher allreduce tweaking to remove race conditions

* hex-ar: add simple solver and remove non-dma kernels

* hex-ar: add row-broadcast to fuse with bias ADD

* hex-fence: pass seq numbers via op_params

* hex-ar: allow for both entry/exit seq for completing entry wait

* hex-ar: align macros

* hex-ar: do not refetch broadcast row

* hex-fusion: move all fusion into opbatch::add_op for consistency with ALLREDUCE and things

* hex-fusion: fix incorrect MUL_MAT reordering

* hex-mm: make fused 2x and 3x matmuls more generic

* hex-fusion: move tensor fusion tagging to graph_compute

* hexagon: make sure to copy tensor->extra by value

* hex-get-rows: fix offset calc with row-chunking

* hex-repack: get_tensor_2d fixes for non-zero offsets

* snapdragon: make profile/trace scripts more robust and donot mix stdout/stderr by default

* hex-devices: use legacy device nameing by default to ease the transition

* hex-devices: hardcode CDSP domain IDs for current devices for now

* hex-optrace: improve multi-NPU timestamp alignment and overall handling of cycle values

* hex-optrace: more robust handling of the fence events
This commit is contained in:
Max Krasnyansky
2026-08-26 18:46:50 -07:00
committed by GitHub
parent 925e117994
commit 192067b72d
44 changed files with 5314 additions and 3139 deletions
+64 -9
View File
@@ -4,6 +4,7 @@
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <qurt_memory.h>
#include <math.h>
#include <string.h>
@@ -14,6 +15,7 @@
#include "htp-ops.h"
#include "htp-ops.h"
#include "hvx-utils.h"
#include "htp-tensor.h"
struct htp_copy_context {
struct htp_ops_context * octx;
@@ -78,7 +80,7 @@ static void cpy_thread_##NAME##_sameshape(unsigned int nth, unsigned int ith, vo
} \
}
DEFINE_CPY_SAMESHAPE(f32, float, 4)
DEFINE_CPY_SAMESHAPE(f32, float, 4)
DEFINE_CPY_SAMESHAPE(f16, __fp16, 2)
#define DEFINE_CPY_RESHAPE(NAME, ELEM_TYPE, ELEM_SIZE) \
@@ -179,7 +181,7 @@ static void cpy_thread_##NAME##_reshape(unsigned int nth, unsigned int ith, void
} \
}
DEFINE_CPY_RESHAPE(f32, float, 4)
DEFINE_CPY_RESHAPE(f32, float, 4)
DEFINE_CPY_RESHAPE(f16, __fp16, 2)
static void cpy_thread_f16_f32_sameshape(unsigned int nth, unsigned int ith, void * data) {
@@ -232,6 +234,41 @@ static void cpy_thread_f32_f16_sameshape(unsigned int nth, unsigned int ith, voi
}
}
static inline void cpy_dma_sametype_sameshape(
struct htp_ops_context * octx,
const struct htp_tensor * dst,
const struct htp_tensor * src0,
uint32_t elem_size,
uint32_t ne00, uint32_t ne01, uint32_t ne02, uint32_t ne03,
uint32_t nb01, uint32_t nb02, uint32_t nb03,
uint32_t nb1, uint32_t nb2, uint32_t nb3
) {
const bool contiguous_outer =
(ne02 == 1 || (nb02 == ne01 * nb01 && nb2 == ne01 * nb1)) &&
(ne03 == 1 || (nb03 == ne02 * nb02 && nb3 == ne02 * nb2));
dma_queue * q = octx->ctx->dma[0];
if (contiguous_outer) {
dma_queue_push(q, dma_make_ptr((void *) dst->data, (const void *) src0->data), nb1, nb01, ne00 * elem_size, ne01 * ne02 * ne03);
dma_queue_pop(q);
return;
}
for (uint32_t i03 = 0; i03 < ne03; i03++) {
for (uint32_t i02 = 0; i02 < ne02; i02++) {
uint8_t* dst_ptr = (uint8_t*) dst->data + i02*nb2 + i03*nb3;
uint8_t* src0_ptr = (uint8_t*) src0->data + i02*nb02 + i03*nb03;
if (!dma_queue_push(q, dma_make_ptr(dst_ptr, src0_ptr), nb1, nb01, ne00 * elem_size, ne01)) {
dma_queue_flush(q);
dma_queue_push(q, dma_make_ptr(dst_ptr, src0_ptr), nb1, nb01, ne00 * elem_size, ne01);
}
}
}
dma_queue_flush(q);
}
int op_cpy(struct htp_ops_context * octx) {
cpy_preamble;
@@ -264,14 +301,11 @@ int op_cpy(struct htp_ops_context * octx) {
ct.src0_nrows_per_thread = (nr + n_threads - 1) / n_threads;
worker_callback_t copy_fun;
worker_callback_t copy_fun = NULL;
bool use_dma = false;
if (sametype && sameshape) {
if (src0->type == HTP_TYPE_F32) {
copy_fun = cpy_thread_f32_sameshape;
} else {
copy_fun = cpy_thread_f16_sameshape;
}
use_dma = true;
} else if (sameshape) {
/**/ if (dst->type == HTP_TYPE_F16 && src0->type == HTP_TYPE_F32)
copy_fun = cpy_thread_f16_f32_sameshape;
@@ -289,7 +323,28 @@ int op_cpy(struct htp_ops_context * octx) {
return HTP_STATUS_NO_SUPPORT;
}
worker_pool_run_func(octx->ctx->worker_pool, copy_fun, &ct, n_threads);
if (use_dma) {
cpy_dma_sametype_sameshape(octx, dst, src0, ct.src0_type_size, ne00, ne01, ne02, ne03, nb01, nb02, nb03, nb1, nb2, nb3);
} else {
worker_pool_run_func(octx->ctx->worker_pool, copy_fun, &ct, n_threads);
}
const struct htp_tensor *sync = octx->src[1];
if (sync) {
if (!use_dma) {
// htp_tensor_flush_all(octx->ctx, octx->dsts, 1);
qurt_mem_cache_clean((qurt_addr_t) 0, 0, QURT_MEM_CACHE_FLUSH_INVALIDATE_ALL, QURT_MEM_DCACHE);
}
atomic_uint * sync_fence = (atomic_uint *) sync->data;
const uint32_t seq = (uint32_t) octx->op_params[0];
atomic_store(&sync_fence[0], seq);
asm volatile ("syncht" : : : "memory");
Q6_dccleaninva_A((void *) sync_fence);
FARF(HIGH, "ggml-hex: sync-release : fence %p seq %u\n", sync_fence, seq);
}
return HTP_STATUS_OK;
}