### 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>
18 lines
646 B
C++
18 lines
646 B
C++
#include "kernel_operator.h"
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#include "dispatch_layout.h"
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#include "dispatch_layout_tiling.h"
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extern "C" __global__ __aicore__ void dispatch_layout(GM_ADDR topkIdx, GM_ADDR numTokensPerRank, GM_ADDR numTokensPerExpert,
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GM_ADDR isTokenInRank, GM_ADDR workspace, GM_ADDR tiling)
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{
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REGISTER_TILING_DEFAULT(DispatchLayoutTilingData);
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GET_TILING_DATA_WITH_STRUCT(DispatchLayoutTilingData, tilingData, tiling);
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TPipe pipe;
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DispatchLayout<int32_t> op;
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op.Init(topkIdx, numTokensPerRank, numTokensPerExpert, isTokenInRank, workspace, &pipe, &tilingData);
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op.Process();
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}
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