Files
xc-llm-ascend/csrc/dispatch_layout/op_host/aclnn_dispatch_layout.cpp
shiro-zzzz bd8be2e759 [Kernel] Add moe normal ops (#4810)
### What this PR does / why we need it?
1.Add the implementation of normal Aclnn operators: MoeCombineNormal,
MoeDispatchNormal, NotifyDispatch,and DispatchLayout.

- MoeCombineNormal: Implements the combine logic within MoE operations.
- MoeDispatchNormal: Implements the dispatch logic within MoE
operations.
- NotifyDispatch: Exchanges topk_idx information among different ranks
to calculate the device memory required for the dispatch stage.
- DispatchLayout: Used to calculate information related to the device
memory layout for the dispatch stage.

2.Provide PyTorch interfaces for normal operators—get_dispatch_layout,
dispatch_prefill, and combine_prefill—to be used for MoE communication
during the prefill stage in vLLM.

- get_dispatch_layout: Calculates information related to the device
memory layout for the dispatch operator, and is called before
dispatch_prefill.
- dispatch_prefill: Initiates the dispatch operation.
- combine_prefill: Initiates the combine operation.

### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
The functionality has already been validated using the local Qwen model.
Test cases will be added after support for multi-NPU use cases in the CI
pipeline is finalized.

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: shiro-zzzz <zhangdianhao@huawei.com>
2025-12-10 17:15:28 +08:00

65 lines
1.8 KiB
C++

#include <string.h>
#include "graph/types.h"
#include "aclnn_dispatch_layout.h"
enum NnopbaseHcclServerType {
NNOPBASE_HCCL_SERVER_TYPE_AICPU = 0,
NNOPBASE_HCCL_SERVER_TYPE_MTE,
NNOPBASE_HCCL_SERVER_TYPE_END
};
extern "C" void __attribute__((weak)) NnopbaseSetHcclServerType(void *executor, NnopbaseHcclServerType sType);
#ifdef __cplusplus
extern "C" {
#endif
extern aclnnStatus aclnnInnerDispatchLayoutGetWorkspaceSize(
const aclTensor *topkIdx,
int64_t numTokens,
int64_t numRanks,
int64_t numExperts,
int64_t numTopk,
const aclTensor *numTokensPerRank,
const aclTensor *numTokensPerExpert,
const aclTensor *isTokenInRank,
uint64_t *workspaceSize,
aclOpExecutor **executor);
extern aclnnStatus aclnnInnerDispatchLayout(
void *workspace,
uint64_t workspaceSize,
aclOpExecutor *executor,
aclrtStream stream);
aclnnStatus aclnnDispatchLayoutGetWorkspaceSize(
const aclTensor *topkIdx,
int64_t numTokens,
int64_t numRanks,
int64_t numExperts,
int64_t numTopk,
const aclTensor *numTokensPerRank,
const aclTensor *numTokensPerExpert,
const aclTensor *isTokenInRank,
uint64_t *workspaceSize,
aclOpExecutor **executor)
{
return aclnnInnerDispatchLayoutGetWorkspaceSize(topkIdx, numTokens, numRanks, numExperts, numTopk, numTokensPerRank,
numTokensPerExpert, isTokenInRank, workspaceSize, executor);
}
aclnnStatus aclnnDispatchLayout(
void *workspace,
uint64_t workspaceSize,
aclOpExecutor *executor,
aclrtStream stream)
{
if (NnopbaseSetHcclServerType) {
NnopbaseSetHcclServerType(executor, NNOPBASE_HCCL_SERVER_TYPE_MTE);
}
return aclnnInnerDispatchLayout(workspace, workspaceSize, executor, stream);
}
#ifdef __cplusplus
}
#endif