moe_gating_top_k (#5271)
1. What this PR does / why we need it?
This PR supports the moe_gating_top_k operator, which enables
post-positioned renormalization (renorm) on the basis of softmax.
2. Does this PR introduce any user-facing change?
No user-facing changes are required.
3. How was this patch tested?
This patch was tested with the test_npu_moe_gating_top_k test case.
vLLM version: release/v0.13.0
vLLM main:
ad32e3e19c
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Signed-off-by: ZCG12345 <2097562023@qq.com>
Signed-off-by: zzzzwwjj <34335947+zzzzwwjj@users.noreply.github.com>
Co-authored-by: zzzzwwjj <34335947+zzzzwwjj@users.noreply.github.com>
This commit is contained in:
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csrc/moe_gating_top_k/tiling_base/tiling_key.h
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63
csrc/moe_gating_top_k/tiling_base/tiling_key.h
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/**
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* This program is free software, you can redistribute it and/or modify.
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* Copyright (c) 2025 Huawei Technologies Co., Ltd.
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* This file is a part of the CANN Open Software.
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* Licensed under CANN Open Software License Agreement Version 2.0 (the "License").
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* Please refer to the License for details. You may not use this file except in compliance with the License.
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* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
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* See LICENSE in the root of the software repository for the full text of the License.
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*/
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/*!
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* \file tiling_key.h
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* \brief
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*/
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#pragma once
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#include <cstdint>
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namespace Ops {
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namespace Transformer {
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namespace OpTiling {
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constexpr uint64_t RecursiveSum()
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{
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return 0;
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}
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constexpr uint64_t kBase = 10; // 10进制进位基数
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template <typename T, typename... Args> constexpr uint64_t RecursiveSum(T templateId, Args... templateIds)
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{
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return static_cast<uint64_t>(templateId) + kBase * RecursiveSum(templateIds...);
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}
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// TilingKey 的生成规则:
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// FlashAttentionScore/FlashAttentionScoreGrad 十进制位组装tiling key,包含以下关键参数,从低位到高位依次是:Ub0, Ub1,
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// Block, DataType, Format, Sparse, 特化模板 Ub0、Ub1:
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// 表示Ub核内切分的轴,使用枚举AxisEnum表示,因为我们允许最多切分两根轴,所以存在UB0和UB1,如果没有UB核内切分,
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// 那么填AXIS_NONE。UB0和UB1各占一个十进制位;
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// Block: 表示UB用来分核的轴,使用枚举AxisEnum表示,占一个十进制位;
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// DataType: 表示当前tiling key支持的输入输出的数据类型,使用枚举SupportedDtype来表示,占一个十进制位
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// Format: 表示当前tiling key支持的Format, 使用枚举InputLayout表示,占一个十进制位
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// Sparse: 表示当前tiling key是否支持Sparse,使用枚举SparseCapability表示,占一个十进制位
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// 其余特化场景,定义自己的位域和值
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// usage: get tilingKey from inputed types
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// uint64_t tilingKey = GET_FLASHATTENTION_TILINGKEY(AxisEnum::AXIS_S1, AxisEnum::AXIS_S2, AxisEnum::AXIS_N2,
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// SupportedDtype::FLOAT32, InputLayout::BSH, SparseCapability::SUPPORT_ALL)
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constexpr uint64_t TILINGKEYOFFSET = uint64_t(10000000000000000000UL); // 10^19
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template <typename... Args> constexpr uint64_t GET_TILINGKEY(Args... templateIds)
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{
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return TILINGKEYOFFSET + RecursiveSum(templateIds...);
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}
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// usage: get tilingKey from inputed types
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// uint64_t tilingKey = TILINGKEY(S2, S1, N2, FLOAT32, BSND, ALL)
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#define TILINGKEY(ub2, ub1, block, dtype, layout, sparse) \
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(GET_TILINGKEY(AxisEnum::ub2, AxisEnum::ub1, AxisEnum::block, DtypeEnum::dtype, LayoutEnum::layout, \
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SparseEnum::sparse))
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} // namespace Optiling
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} // namespace Transformer
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} // namespace Ops
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