add dispatch_gmm_combine kernel (#3532)

### What this PR does / why we need it?

This PR introduces the Ascend implementation of the
`dispatch_ffn_combine` kernel and wires it into the vLLM-Ascend runtime,
together with follow‑up fixes to ensure the kernel builds and runs
correctly in CI.

- Add full host and device implementation of the `dispatch_ffn_combine`
kernel under `csrc/dispatch_ffn_combine`, including tiling logic, MOE
routing helpers, and kernel utilities for quantized FFN dispatch.
- Integrate the new kernel with the PyTorch binding
(csrc/torch_binding.cpp, csrc/torch_binding_meta.cpp) and the Ascend
runtime (vllm_ascend/ascend_forward_context.py,
vllm_ascend/worker/model_runner_v1.py).
- Extend fused MoE communication and token dispatch support in
`vllm_ascend/ops/fused_moe`, adding methods/utilities needed by the new
dispatch path.
- Update quantization logic in vllm_ascend/quantization/w8a8_dynamic.py
to support the new FFN dispatch flow.
- Fix kernel build issues by adjusting `csrc/build_aclnn.sh`, CMake
configuration, and include/namespace usage in the new kernel files.
- Add an end‑to‑end nightly test
`tests/e2e/nightly/ops/test_dispatch_ffn_combine.py` and helper
utilities in `vllm_ascend/utils.py` to validate the new kernel.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.12.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.12.0

---------

Signed-off-by: mojave2 <chenchen145@huawei.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
Chen Chen
2025-12-04 23:00:59 +08:00
committed by GitHub
parent 752a55473c
commit ad0607f900
61 changed files with 9795 additions and 53 deletions

View File

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#ifndef SYNC_UTIL_HPP
#define SYNC_UTIL_HPP
#include "kernel_operator.h"
#include "const_args.hpp"
#include "moe_distribute_base.h"
#ifndef HCCL_COMM
#include "shmem_api.h"
#endif
#define FORCE_INLINE_AICORE inline __attribute__((always_inline)) __aicore__
template<typename T>
FORCE_INLINE_AICORE void gm_store(__gm__ T *addr, T val) {
*((__gm__ T *)addr) = val;
}
template<typename T>
FORCE_INLINE_AICORE T gm_load(__gm__ T *cache) {
return *((__gm__ T *)cache);
}
FORCE_INLINE_AICORE void gm_dcci(__gm__ uint8_t * addr) {
using namespace AscendC;
GlobalTensor<uint8_t> global;
global.SetGlobalBuffer(addr);
// Important: add hint to avoid dcci being optimized by compiler
__asm__ __volatile__("");
DataCacheCleanAndInvalid<uint8_t, CacheLine::SINGLE_CACHE_LINE, DcciDst::CACHELINE_OUT>(global);
__asm__ __volatile__("");
}
FORCE_INLINE_AICORE int32_t gm_signal_wait_until_eq_for_barrier(__gm__ int32_t *sig_addr, int32_t cmp_val) {
do {
gm_dcci((__gm__ uint8_t *)sig_addr);
if (*sig_addr == cmp_val) {
return *sig_addr;
}
// in case when peer pe enters next barrier
if (*sig_addr == cmp_val + 1) {
return *sig_addr;
}
} while (true);
// never reach
return -1;
}
constexpr int32_t MAX_RANK_SIZE = 32;
class HcclShmem {
public:
#ifdef HCCL_COMM // hccl需要初始化hccl context
__gm__ HcclOpResParamCustom *WinContext_{nullptr};
Hccl<HCCL_SERVER_TYPE_AICPU> hccl_;
GM_ADDR m_ptrArray[MAX_RANK_SIZE];
size_t m_segmentSize;
int32_t m_rank;
int32_t m_rankSize;
FORCE_INLINE_AICORE
HcclShmem(){
auto contextGM0 = AscendC::GetHcclContext<HCCL_GROUP_ID_0>();
WinContext_ = (__gm__ HcclOpResParamCustom *)contextGM0;
m_rank = WinContext_->localUsrRankId;
m_rankSize = WinContext_->rankSize;
m_segmentSize = WinContext_->winSize;
for (int i = 0; i < m_rankSize; i++) {
m_ptrArray[i] = (GM_ADDR)((i == m_rank) ? WinContext_->localWindowsIn :
((HcclRankRelationResV2Custom *)(WinContext_->remoteRes[i].nextDevicePtr))->windowsIn);
}
}
FORCE_INLINE_AICORE
size_t SegmentSize() const {
return m_segmentSize;
}
FORCE_INLINE_AICORE
int32_t RankSize() const {
return m_rankSize;
}
#endif
FORCE_INLINE_AICORE
GM_ADDR operator() () const { // 无参数返回本地peermem
#ifdef HCCL_COMM
return m_ptrArray[m_rank];
#else
return reinterpret_cast<GM_ADDR>(shmemi_get_state()->heap_base);
#endif
}
FORCE_INLINE_AICORE
GM_ADDR operator() (int32_t index) const { // 带index参数返回远端peermem首地址
#ifdef HCCL_COMM
return m_ptrArray[index];
#else
return reinterpret_cast<GM_ADDR>(shmem_ptr(shmemi_get_state()->heap_base, index));
#endif
}
FORCE_INLINE_AICORE
GM_ADDR operator () (int64_t offset, int32_t rankId) const {
#ifdef HCCL_COMM
if (offset < 0 || offset >= m_segmentSize) {
return nullptr;
}
if (rankId < 0 || rankId >= m_rankSize) {
return nullptr;
}
return m_ptrArray[rankId] + offset;
#else
return shmem_ptr(shmemi_get_state()->heap_base + offset, rankId);
#endif
}
// FORCE_INLINE_AICORE
// GM_ADDR operator () (GM_ADDR ptr, int32_t index) const { // shmem_ptr相同用法
// #ifdef HCCL_COMM
// size_t offset = ptr - m_ptrArray[m_rank];
// if (offset < 0 || offset >= m_segmentSize) {
// return nullptr;
// }
// if (index < 0 || index >= m_rankSize) {
// return nullptr;
// }
// return m_ptrArray[index] + offset;
// #else
// return shmem_ptr(ptr, index);
// #endif
// }
FORCE_INLINE_AICORE
~HcclShmem() {
}
FORCE_INLINE_AICORE
void CrossRankSync() {
uint64_t flag_offset = (m_segmentSize - MB_SIZE) / sizeof(int32_t);
__gm__ int32_t* sync_counter = (__gm__ int32_t*)(*this)() + flag_offset;
__gm__ int32_t* sync_base = (__gm__ int32_t*)(*this)() + flag_offset + 2048;
int count = gm_load(sync_base) + 1;
int vec_id = AscendC::GetBlockIdx();
int vec_size = AscendC::GetBlockNum() * AscendC::GetTaskRation();
for(int i = vec_id; i < m_rankSize; i += vec_size) {
__gm__ int32_t* sync_remote = (__gm__ int32_t*)((*this)(i)) + flag_offset + m_rank * 16;
gm_store(sync_remote, count);
gm_dcci((__gm__ uint8_t*)sync_remote);
auto sync_check = sync_counter + i * 16;
gm_signal_wait_until_eq_for_barrier(sync_check, count);
}
AscendC::SyncAll<true>();
gm_store(sync_base, count);
}
FORCE_INLINE_AICORE
__gm__ int32_t* SyncBaseAddr() {
uint64_t flag_offset = (m_segmentSize - MB_SIZE) / sizeof(int32_t);
return (__gm__ int32_t*)(*this)() + flag_offset + 2048;
}
};
#endif