### 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>
85 lines
2.1 KiB
C++
85 lines
2.1 KiB
C++
#include <string.h>
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#include "graph/types.h"
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#include "aclnn_notify_dispatch.h"
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extern void NnopbaseOpLogE(const aclnnStatus code, const char *const expr);
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#ifdef __cplusplus
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extern "C" {
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#endif
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enum NnopbaseHcclServerType {
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NNOPBASE_HCCL_SERVER_TYPE_AICPU = 0,
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NNOPBASE_HCCL_SERVER_TYPE_MTE,
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NNOPBASE_HCCL_SERVER_TYPE_END
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};
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extern "C" void __attribute__((weak)) NnopbaseSetHcclServerType(void *executor, NnopbaseHcclServerType sType);
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extern aclnnStatus aclnnInnerNotifyDispatchGetWorkspaceSize(
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const aclTensor *sendData,
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const aclTensor *tokenPerExpertData,
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int64_t sendCount,
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int64_t numTokens,
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char *commGroup,
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int64_t rankSize,
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int64_t rankId,
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int64_t localRankSize,
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int64_t localRankId,
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const aclTensor *sendDataOffset,
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const aclTensor *recvData,
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uint64_t *workspaceSize,
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aclOpExecutor **executor);
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extern aclnnStatus aclnnInnerNotifyDispatch(
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void *workspace,
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uint64_t workspaceSize,
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aclOpExecutor *executor,
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aclrtStream stream);
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aclnnStatus aclnnNotifyDispatchGetWorkspaceSize(
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const aclTensor *sendData,
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const aclTensor *tokenPerExpertData,
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int64_t sendCount,
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int64_t numTokens,
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char *commGroup,
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int64_t rankSize,
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int64_t rankId,
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int64_t localRankSize,
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int64_t localRankId,
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const aclTensor *sendDataOffset,
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const aclTensor *recvData,
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uint64_t *workspaceSize,
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aclOpExecutor **executor)
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{
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return aclnnInnerNotifyDispatchGetWorkspaceSize(
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sendData,
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tokenPerExpertData,
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sendCount,
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numTokens,
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commGroup,
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rankSize,
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rankId,
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localRankSize,
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localRankId,
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sendDataOffset,
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recvData,
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workspaceSize,
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executor);
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}
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aclnnStatus aclnnNotifyDispatch(
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void *workspace,
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uint64_t workspaceSize,
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aclOpExecutor *executor,
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aclrtStream stream)
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{
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if (NnopbaseSetHcclServerType) {
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NnopbaseSetHcclServerType(executor, NNOPBASE_HCCL_SERVER_TYPE_MTE);
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}
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return aclnnInnerNotifyDispatch(workspace, workspaceSize, executor, stream);
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}
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#ifdef __cplusplus
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}
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#endif
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