[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>
This commit is contained in:
shiro-zzzz
2025-12-10 17:15:28 +08:00
committed by GitHub
parent c77dca54b2
commit bd8be2e759
39 changed files with 5365 additions and 4 deletions

View File

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#ifndef DISPATCH_LAYOUT_TILING_H
#define DISPATCH_LAYOUT_TILING_H
#include "kernel_tiling/kernel_tiling.h"
struct DispatchLayoutInfo {
uint32_t numTokens;
uint32_t numRanks;
uint32_t numExperts;
uint32_t numTopk;
uint64_t totalUbSize;
};
struct DispatchLayoutTilingData {
Mc2InitTiling mc2InitTiling;
Mc2CcTiling mc2CcTiling1;
DispatchLayoutInfo dispatchLayoutInfo;
};
#endif