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[CK_TILE] Add mxfp4 flatmm (#3080)
* Squashed commit of the following: commit 3e1a851dad834776efbe4fe365ac82c4ed312010 Author: Ding, Yi <yi.ding@amd.com> Date: Thu Oct 23 06:10:54 2025 +0000 Fix & clean after rebase commit 1edf485092f44411da9a1796a4a6b72d5cdb67c6 Author: Ding, Yi <yi.ding@amd.com> Date: Wed Oct 22 10:46:13 2025 +0000 Squashed commit of the following: commit0b6b9dbd1bAuthor: mtgu0705 <mtgu@amd.com> Date: Mon Sep 22 02:04:27 2025 -0500 fix bandwidth calculation commit9aebf53bb7Author: mtgu0705 <mtgu@amd.com> Date: Mon Sep 22 00:58:59 2025 -0500 updates commit62607de56cAuthor: mtgu0705 <mtgu@amd.com> Date: Fri Sep 19 00:39:46 2025 -0500 fix a bug, set the A DS_read preload size to 4 for MXFP4 commit92ad6fcc0aAuthor: mtgu0705 <mtgu@amd.com> Date: Thu Sep 18 01:19:03 2025 -0500 fix a_wrap preload issue for large MPerBlock. commitf2db44710fAuthor: mtgu0705 <mtgu@amd.com> Date: Wed Sep 17 21:34:03 2025 -0500 optimized the VGPR repack issue for MXFP4 commit346a400027Author: Gino Lu <gino.lu@amd.com> Date: Wed Sep 17 04:19:44 2025 -0500 fix time error commit80c1743034Author: mtgu0705 <mtgu@amd.com> Date: Wed Sep 17 03:58:00 2025 -0500 updated, function passed. commitce26d9071eAuthor: mtgu0705 <mtgu@amd.com> Date: Tue Sep 16 22:21:39 2025 -0500 fix, function partially passed commit0a89ed13a5Author: mtgu0705 <mtgu@amd.com> Date: Tue Sep 16 03:01:12 2025 -0500 fix, reference function passed, next check kernel function commitec9bcef591Author: Gino Lu <gino.lu@amd.com> Date: Tue Sep 16 02:29:01 2025 -0500 let pack/unpack return pk_fp4_t commita333206929Author: mtgu0705 <mtgu@amd.com> Date: Mon Sep 15 20:50:26 2025 -0500 fix commit3893c06540Author: Gino Lu <gino.lu@amd.com> Date: Mon Sep 15 05:51:06 2025 -0500 fix bug commit8052bea019Author: mtgu0705 <mtgu@amd.com> Date: Mon Sep 15 04:02:05 2025 -0500 fix core dump issue, function is not correct. commit9ceb3fd508Author: mtgu0705 <mtgu@amd.com> Date: Mon Sep 15 03:03:02 2025 -0500 updates, build pass commitcc94eb6045Author: mtgu0705 <mtgu@amd.com> Date: Mon Sep 15 00:05:18 2025 -0500 updates commit22586c3135Author: Gino Lu <gino.lu@amd.com> Date: Sun Sep 14 23:40:28 2025 -0500 fix bug commite92e67b8ddAuthor: Gino Lu <gino.lu@amd.com> Date: Fri Sep 12 03:28:50 2025 -0500 fix interface commit8b1dd60c08Author: Gino Lu <gino.lu@amd.com> Date: Fri Sep 12 02:53:50 2025 -0500 add interface in warp_gemm_impl commitc6135f6abeAuthor: mtgu0705 <mtgu@amd.com> Date: Wed Sep 10 05:03:08 2025 -0500 updates some fixes. commitb0d71b8d19Author: mtgu0705 <mtgu@amd.com> Date: Tue Sep 9 04:37:42 2025 -0500 fix after merge ginolu/add_wgmfma_dispatcher commitf119c30317Merge:c5030e60272c8ef856Author: mtgu0705 <mtgu@amd.com> Date: Mon Sep 8 22:09:15 2025 -0500 Merge remote-tracking branch 'origin/ginolu/add_wgmfma_dispatcher' into mtgu/cktile_mxfp4_flatmm_dev commitc5030e602eAuthor: mtgu0705 <mtgu@amd.com> Date: Mon Sep 8 21:42:47 2025 -0500 update mx flatmm tail pipeline commit72c8ef8567Merge:9661bb400e4a772890Author: Gino Lu <gino.lu@amd.com> Date: Mon Sep 8 19:10:23 2025 -0500 Merge branch 'develop' into ginolu/add_wgmfma_dispatcher commit9661bb400bAuthor: Gino Lu <gino.lu@amd.com> Date: Mon Sep 8 19:09:55 2025 -0500 fix type error commit0509597f55Author: mtgu0705 <mtgu@amd.com> Date: Mon Sep 8 04:01:40 2025 -0500 update hotloop pipeline commit754ae0461bMerge:15d44406e83f607e2aAuthor: Gino Lu <gino.lu@amd.com> Date: Fri Sep 5 04:22:26 2025 -0500 Merge branch 'develop' into ginolu/add_wgmfma_dispatcher commit15d44406e5Author: Gino Lu <gino.lu@amd.com> Date: Fri Sep 5 04:21:26 2025 -0500 fix clang format commit146963d62aAuthor: mtgu0705 <mtgu@amd.com> Date: Wed Sep 3 10:00:54 2025 -0500 some updates commit12526b626aMerge:47cee047100fd72b2dAuthor: asleepzzz <hanwen.chang@amd.com> Date: Wed Sep 3 13:22:03 2025 +0800 Merge branch 'develop' into ginolu/add_wgmfma_dispatcher commit47cee04712Author: Gino Lu <gino.lu@amd.com> Date: Mon Sep 1 02:11:02 2025 -0500 fix vec size error commitd2892925e5Author: Gino Lu <gino.lu@amd.com> Date: Mon Sep 1 01:23:39 2025 -0500 fix format error commit16993acd1dAuthor: mtgu0705 <mtgu@amd.com> Date: Sat Aug 30 03:19:07 2025 -0500 update codes commit9c37e55d13Author: mtgu0705 <mtgu@amd.com> Date: Fri Aug 29 11:27:33 2025 -0500 init ck_tile mxfp4 flatmm commit5c484a5672Author: Feng Shijie <Shijie.Feng@amd.com> Date: Thu Aug 28 08:02:50 2025 +0000 Add bias for f16xf4 moe_flatmm commitdd6539f366Author: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 27 13:39:47 2025 +0000 update case construction commit65b702454cAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Tue Aug 26 12:32:29 2025 +0000 support swiglu activaion and use rcpf to accelerate silu commitb422e41e08Author: Gino Lu <gino.lu@amd.com> Date: Tue Aug 26 02:33:55 2025 -0500 first commit commitd05eed931dAuthor: root <root@smci355-ccs-aus-m02-25.cs-aus.dcgpu> Date: Fri Aug 22 04:01:59 2025 -0500 add line to last commitd69cab7f0cAuthor: root <root@smci355-ccs-aus-m02-25.cs-aus.dcgpu> Date: Fri Aug 22 03:20:46 2025 -0500 adjust A_LDS descriptor to avoid bankconflict commit65989e940cAuthor: root <root@smci355-ccs-aus-m02-25.cs-aus.dcgpu> Date: Thu Aug 21 09:46:52 2025 -0500 enable hotloop commitc378e9bdf8Author: Feng Shijie <Shijie.Feng@amd.com> Date: Thu Aug 21 09:12:21 2025 +0000 support atomic_pk_add_bf16 on gfx950 commit85976b0b87Author: Feng Shijie <Shijie.Feng@amd.com> Date: Thu Aug 21 06:58:55 2025 +0000 use int64_t as expert stride to avoid overflow commit9fbcc8f8a4Author: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 20 13:53:32 2025 +0000 use v4i32 as the storage type for B to avoid repack operation commit81899bd920Author: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 20 06:40:03 2025 +0000 add pk_fp4_t and e8m0_t support for amd_buffer_load_impl commitc27eb0771aAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 20 04:39:14 2025 +0000 optimize cvt_pkf4_to_f16 implementation commit3ca0bd500aAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Tue Aug 19 14:56:46 2025 +0000 optimize A_LDS descriptor to avoid bankconflict commitf7f0306eeaAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 18 18:43:37 2025 +0000 fix gate-up when GU_NRepeat > 1 commitbe55c0f9cbAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 18 17:28:11 2025 +0000 add fp16xf4 moe commit599e1f5b32Author: Feng Shijie <Shijie.Feng@amd.com> Date: Sun Aug 17 17:51:18 2025 +0000 rename example commit7899fb4a8dAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Fri Aug 15 06:20:46 2025 +0000 remove additional check when e8m0->float commit714b341797Author: Feng Shijie <Shijie.Feng@amd.com> Date: Thu Aug 14 09:34:12 2025 +0000 eliminate repeat dequant commit53e8c0c533Merge:5de620895cc9c7b9e5Author: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 13 16:51:49 2025 +0000 Merge remote-tracking branch 'origin/moe_flatmm' into feat-mixed_input_flatmm commit5de6208952Author: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 13 16:16:48 2025 +0000 update f16xMXF4 commit732ebdee8bAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 13 10:48:53 2025 +0000 update scale-preshuffle for MXF4 commitedb58d0680Author: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 11 11:24:34 2025 +0000 update commitcc9c7b9e58Author: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 11 08:38:23 2025 +0000 optimize gemm2 atomic_add pattern commit200a11afc8Author: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 11 07:59:47 2025 +0000 update scale for mxfp4 commit87aed564dcAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 11 07:56:14 2025 +0000 update case construction commit8b85fa6cf2Author: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 11 06:03:06 2025 +0000 update granularity control commit1b8c7097b8Author: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 11 03:42:46 2025 +0000 fix TileConfig commit8ba1c708dcAuthor: Gino Lu <gino.lu@amd.com> Date: Thu Aug 7 21:37:28 2025 +0800 Add e8m0 scaled convert into CK_TILE (#2617) * first commit * remove redundent code * modify according to comments. * fix type_convert error with scaled_type_convert commitf788d3d629Author: Feng Shijie <Shijie.Feng@amd.com> Date: Fri Aug 8 20:19:16 2025 +0000 add mixed_prec fp16xfp4 commit3dea10a277Author: Feng Shijie <Shijie.Feng@amd.com> Date: Thu Aug 7 09:22:04 2025 +0000 debug mixed_prec flatmm commit0ba513b148Merge:90e910f3ac0cb4d036Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Wed Aug 6 16:49:47 2025 +0800 Merge pull request #2626 from ROCm/felix/flatmm_fix_splitk fix split k commit6d3cbc7c0eAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Aug 6 08:33:33 2025 +0000 add moe_flatmm commitc0cb4d036dAuthor: coderfeli <coderfeli@163.com> Date: Wed Aug 6 02:45:31 2025 +0000 fix split k commit90e910f3a7Author: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Aug 4 07:16:36 2025 +0000 fix flatmm with scaling when WarpTileM == 32 commitaa5e008fa5Author: Feng Shijie <Shijie.Feng@amd.com> Date: Fri Aug 1 11:01:23 2025 +0000 optimize scaling epilogue commitac5908c0bbAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Fri Aug 1 07:28:38 2025 +0000 fix wrong config for fp8 scaling commit3f43b841d4Author: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Jul 30 06:20:30 2025 +0000 prune debug message commit2e5d4c74cdAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Jul 30 04:52:08 2025 +0000 fix compile error commitc117a1986aAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Tue Jul 29 15:42:58 2025 +0000 Add persistent option on flatmm for tuning commita587701117Author: AMD-dteng <dteng@amd.com> Date: Tue Jul 29 22:48:00 2025 +0800 update pipeline v1: add atomic IGLP schedule commitf9e48148d2Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Thu Jul 24 09:09:27 2025 +0000 fix error log throwing commit1b6d7cf407Author: Feng Shijie <Shijie.Feng@amd.com> Date: Mon Jul 28 08:24:51 2025 +0000 crz idea commit5473f06461Author: Feng Shijie <Shijie.Feng@amd.com> Date: Sun Jul 27 11:57:38 2025 +0000 Add permuteN optimzization when NRepeat % 2 == 0 on flatmm commitbfb9f4002fAuthor: sjfeng <j514681085@icloud.com> Date: Sun Jul 27 17:24:08 2025 +0800 try to remove c_shuffle_lds commit1264f4d2abAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Fri Jul 25 07:41:48 2025 +0000 fix loop-dim mismatch and improve c_shuffle alu parallelism commit1239d8a546Merge:406645448b908f5e80Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Thu Jul 24 08:46:51 2025 +0000 merge flatmm -scale commit4066454483Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Thu Jul 24 16:19:58 2025 +0800 revert delete of inc file commit68390988c9Author: solin <bingzhou@amd.com> Date: Thu Jul 24 04:38:16 2025 +0000 reorg flatmm code commitb908f5e803Author: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Jul 23 19:12:31 2025 +0000 fix flatmm syntax error on gfx950 commit5a1183ebbdAuthor: Feng Shijie <Shijie.Feng@amd.com> Date: Wed Jul 23 19:04:22 2025 +0000 support flatmm scaling commit89fa639207Author: valarLip <340077269@qq.com> Date: Wed Jul 23 08:44:12 2025 +0000 merge flatmm pipe v0 from dteng_flatmm_opt commit3f7d848dd3Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Wed Jul 23 15:38:12 2025 +0800 build pass commit6dacf833daAuthor: lalala-sh <Jiaxing.Wen@amd.com> Date: Wed Jul 23 07:20:26 2025 +0000 fix bug commit7e1bd4b839Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Wed Jul 23 15:01:53 2025 +0800 sync commit46a538e39eAuthor: valarLip <340077269@qq.com> Date: Tue Jul 22 08:09:35 2025 +0000 adaptive scheduler instead of Macro definition commit9aa3396a79Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Thu Jul 17 08:40:35 2025 +0000 fix tail handler bug commitfb76450e63Author: lalala-sh <Jiaxing.Wen@amd.com> Date: Wed Jul 16 10:12:19 2025 +0000 merge from dteng_flatmm_opt --------- Co-authored-by: lalala-sh <Jiaxing.Wen@amd.com> Co-authored-by: AMD-dteng <dteng@amd.com> Co-authored-by: solin <bingzhou@amd.com> Co-authored-by: sjfeng <j514681085@icloud.com> Co-authored-by: valarLip <340077269@qq.com> Co-authored-by: asleepzzz <hanwen.chang@amd.com> Co-authored-by: Feng Shijie <Shijie.Feng@amd.com> Co-authored-by: coderfeli <coderfeli@163.com> Co-authored-by: Gino Lu <gino.lu@amd.com> Co-authored-by: mtgu0705 <mtgu@amd.com> * Fix crash on small M * Apply suggestion from @Copilot --------- Co-authored-by: lalala-sh <Jiaxing.Wen@amd.com> Co-authored-by: AMD-dteng <dteng@amd.com> Co-authored-by: solin <bingzhou@amd.com> Co-authored-by: sjfeng <j514681085@icloud.com> Co-authored-by: valarLip <340077269@qq.com> Co-authored-by: asleepzzz <hanwen.chang@amd.com> Co-authored-by: Feng Shijie <Shijie.Feng@amd.com> Co-authored-by: coderfeli <coderfeli@163.com> Co-authored-by: Gino Lu <gino.lu@amd.com> Co-authored-by: mtgu0705 <mtgu@amd.com>
This commit is contained in:
@@ -291,10 +291,12 @@ struct UniversalFlatmmPipelineAgBgCrPolicy
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constexpr index_t MPerBlock = Problem::BlockGemmShape::kM;
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constexpr index_t KPerBlock = Problem::BlockGemmShape::kK;
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constexpr index_t APackedSize = numeric_traits<ADataType>::PackedSize;
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if constexpr(std::is_same_v<ALayout, ck_tile::tensor_layout::gemm::ColumnMajor>)
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{
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constexpr index_t M1 = Problem::VectorLoadSize / sizeof(ADataType);
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constexpr index_t M0 = MPerBlock / M1;
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constexpr index_t M1 = Problem::VectorLoadSize / sizeof(ADataType) * APackedSize;
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constexpr index_t M0 = MPerBlock / M1;
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constexpr index_t total_pixels = MPerBlock * KPerBlock / BlockSize;
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static_assert(total_pixels % M1 == 0);
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constexpr index_t K3 = total_pixels / M1;
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@@ -331,7 +333,7 @@ struct UniversalFlatmmPipelineAgBgCrPolicy
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}
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else
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{
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constexpr index_t K1 = Problem::VectorLoadSize / sizeof(ADataType);
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constexpr index_t K1 = Problem::VectorLoadSize / sizeof(ADataType) * APackedSize;
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constexpr index_t K0 = KPerBlock / K1;
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// coalesce reading for each blocks
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if constexpr(get_warp_size() % K0 == 0)
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File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,275 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck_tile/ops/flatmm/pipeline/flatmm_pipeline_agmem_bgmem_creg_v1_policy.hpp"
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namespace ck_tile {
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struct MXF4FlatmmPipelineAgBgCrPolicy : UniversalFlatmmPipelineAgBgCrPolicy
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{
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static constexpr auto I0 = number<0>{};
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static constexpr auto I1 = number<1>{};
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static constexpr auto I2 = number<2>{};
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static constexpr index_t KBPerLoad = 32;
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static constexpr int MXdlPack = 2;
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static constexpr int NXdlPack = 2;
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static constexpr int KXdlPack = 2;
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template <typename Problem>
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CK_TILE_HOST_DEVICE static constexpr auto MakeMXFP4_ALdsBlockDescriptor()
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{
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using namespace ck_tile;
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using ADataType = remove_cvref_t<typename Problem::ADataType>;
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using ALayout = remove_cvref_t<typename Problem::ALayout>;
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constexpr index_t MPerXdl = Problem::BlockGemmShape::WarpTile::at(I0);
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constexpr index_t NPerXdl = Problem::BlockGemmShape::WarpTile::at(I1);
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static_assert(MPerXdl == 16 && NPerXdl == 16);
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static_assert(std::is_same_v<ALayout, tensor_layout::gemm::RowMajor>);
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/*reduce transform layers,compare with old ck*/
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constexpr index_t MPerBlock = Problem::BlockGemmShape::kM;
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constexpr index_t KPerBlock = Problem::BlockGemmShape::kK;
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constexpr index_t APackedSize = numeric_traits<ADataType>::PackedSize;
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constexpr index_t KPack = GetSmemPackA<Problem>() * APackedSize;
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constexpr auto a_lds_block_desc_0 = make_naive_tensor_descriptor(
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make_tuple(number<KPerBlock / KPack>{}, number<MPerBlock>{}, number<KPack>{}),
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make_tuple(number<KPack>{}, number<KPerBlock>{}, number<1>{}),
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number<KPack>{},
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number<1>{});
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constexpr auto a_lds_block_desc_permuted = transform_tensor_descriptor(
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a_lds_block_desc_0,
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make_tuple(
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make_xor_transform(make_tuple(number<MPerBlock>{}, number<KPerBlock / KPack>{})),
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make_pass_through_transform(number<KPack>{})),
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make_tuple(sequence<1, 0>{}, sequence<2>{}),
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make_tuple(sequence<1, 0>{}, sequence<2>{}));
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constexpr auto a_lds_block_desc = transform_tensor_descriptor(
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a_lds_block_desc_permuted,
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make_tuple(make_pass_through_transform(number<MPerBlock>{}),
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make_merge_transform_v3_division_mod(
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make_tuple(number<KPerBlock / KPack>{}, number<KPack>{}))),
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make_tuple(sequence<1>{}, sequence<0, 2>{}),
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make_tuple(sequence<0>{}, sequence<1>{}));
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// return a_lds_block_desc_permuted;
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return a_lds_block_desc;
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}
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template <typename Problem>
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CK_TILE_HOST_DEVICE static constexpr auto MakeMXFP4_ADramTileDistribution()
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{
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using ADataType = remove_cvref_t<typename Problem::ADataType>;
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constexpr index_t BlockSize = Problem::kBlockSize;
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constexpr index_t MPerBlock = Problem::BlockGemmShape::kM;
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constexpr index_t KPerBlock = Problem::BlockGemmShape::kK;
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constexpr index_t K1 = Problem::VectorLoadSize / sizeof(ADataType);
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constexpr index_t K0 = KPerBlock / K1;
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constexpr index_t M2 = get_warp_size() / K0;
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constexpr index_t M1 = BlockSize / get_warp_size();
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static_assert(M2 != 0, "M2 is zero, which will lead to a division by zero error.");
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static_assert(M1 != 0, "M1 is zero, which will lead to a division by zero error.");
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constexpr index_t M0 = MPerBlock / (M2 * M1);
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static_assert(M0 * M1 * M2 == MPerBlock,
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"Incorrect M0, M2, M1 configuration! "
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"M0, M1, M2 must cover whole MPerBlock!");
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return make_static_tile_distribution(
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tile_distribution_encoding<sequence<1>,
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tuple<sequence<M0, M1, M2>, sequence<K0, K1>>,
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tuple<sequence<1>, sequence<1, 2>>,
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tuple<sequence<1>, sequence<2, 0>>,
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sequence<1, 2>,
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sequence<0, 1>>{});
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}
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template <typename Problem>
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CK_TILE_HOST_DEVICE static constexpr auto MakeMXF4_ALDS_TileDistribution()
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{
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using TileShape = typename Problem::BlockGemmShape;
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static_assert(TileShape::WarpTile::at(I1) == 16, "requires XDL_N == 16");
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static_assert(TileShape::BlockWarps::at(I0) == 1, "requires Wave_M == 1");
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constexpr int M_warps = TileShape::BlockWarps::at(number<0>{});
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constexpr int N_warps = TileShape::BlockWarps::at(number<1>{});
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constexpr int M_Lane = TileShape::WarpTile::at(I0);
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constexpr int K_Lane = 64 / TileShape::WarpTile::at(I0); // 4
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constexpr int K1 = TileShape::WarpTile::at(I2) / K_Lane; // 32
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return make_static_tile_distribution(
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tile_distribution_encoding<
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sequence<N_warps>,
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tuple<sequence<M_warps, MXdlPack, M_Lane>, sequence<K_Lane, K1>>,
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tuple<sequence<1, 0>, sequence<2, 1>>,
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tuple<sequence<0, 0>, sequence<0, 2>>,
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sequence<2>,
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sequence<1>>{});
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}
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template <typename Problem>
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CK_TILE_HOST_DEVICE static constexpr auto MakeMXFP4_BFlatDramTileDistribution()
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{
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using TileShape = typename Problem::BlockGemmShape;
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static_assert(TileShape::WarpTile::at(I1) == 16, "only for XDL_N == 16");
|
||||
|
||||
constexpr index_t BlockSize = Problem::kBlockSize;
|
||||
constexpr index_t WaveSize = get_warp_size();
|
||||
constexpr index_t WaveNum = BlockSize / WaveSize;
|
||||
|
||||
constexpr index_t KThdPerWave = WaveSize; // threads cnt in K dim
|
||||
constexpr index_t KWavePerBlk = 1;
|
||||
|
||||
constexpr index_t NWavePerBlk = TileShape::BlockWarps::at(number<1>{}); // N_Warp
|
||||
|
||||
constexpr index_t WaveRepeat = WaveNum / TileShape::flatNPerWarp;
|
||||
|
||||
return make_static_tile_distribution(
|
||||
tile_distribution_encoding<
|
||||
sequence<WaveRepeat>,
|
||||
tuple<sequence<NWavePerBlk, NXdlPack>,
|
||||
sequence<KWavePerBlk, KThdPerWave, KBPerLoad>>, // first direction
|
||||
// wave in blk, // thd in wave
|
||||
// <M, K> // <M, K>
|
||||
tuple<sequence<0, 1, 2>, sequence<2>>, // which direction
|
||||
tuple<sequence<0, 0, 0>, sequence<1>>, // which index
|
||||
// <repeat, vec_load>
|
||||
sequence<2>,
|
||||
sequence<2>>{});
|
||||
}
|
||||
|
||||
template <typename Problem>
|
||||
CK_TILE_HOST_DEVICE static constexpr auto MakeMXFP4_ScaleA_DramTileDistribution()
|
||||
{
|
||||
using TileShape = typename Problem::BlockGemmShape; // ck_tile::TileFlatmmShape
|
||||
|
||||
constexpr index_t BlockSize = Problem::kBlockSize;
|
||||
constexpr index_t WaveSize = get_warp_size();
|
||||
constexpr index_t WaveNum = BlockSize / WaveSize;
|
||||
|
||||
constexpr index_t kMPerBlock = TileShape::BlockTile::at(I0);
|
||||
|
||||
constexpr index_t M_Warps = TileShape::BlockWarps::at(I0);
|
||||
constexpr index_t N_Warps = TileShape::BlockWarps::at(I1);
|
||||
|
||||
static_assert(WaveNum == M_Warps * N_Warps, "Block warps do not match block size");
|
||||
|
||||
constexpr index_t M_Lanes = TileShape::WarpTile::at(I0);
|
||||
constexpr index_t K_Lanes = 64 / M_Lanes;
|
||||
|
||||
// Y dimension (M) decomposition
|
||||
constexpr index_t Y2 = M_Lanes;
|
||||
constexpr index_t Y1 = M_Warps;
|
||||
constexpr index_t Y0 = kMPerBlock / (MXdlPack * Y1 * Y2);
|
||||
|
||||
// X dimension (K) decomposition
|
||||
constexpr index_t X0 = K_Lanes;
|
||||
constexpr index_t X1 = 1; // packed 2x2 E8M0 data into 1 int32_t for load
|
||||
|
||||
return make_static_tile_distribution(
|
||||
tile_distribution_encoding<sequence<N_Warps>, // repeat N_warps
|
||||
tuple<sequence<Y0, Y1, Y2>, sequence<X0, X1>>,
|
||||
tuple<sequence<1, 0>, sequence<2, 1>>,
|
||||
tuple<sequence<1, 0>, sequence<0, 2>>,
|
||||
sequence<1, 2>,
|
||||
sequence<0, 1>>{});
|
||||
}
|
||||
|
||||
template <typename Problem>
|
||||
CK_TILE_HOST_DEVICE static constexpr auto MakeMXFP4_ScaleB_DramTileDistribution()
|
||||
{
|
||||
using TileShape = typename Problem::BlockGemmShape; // ck_tile::TileFlatmmShape
|
||||
|
||||
constexpr index_t BlockSize = Problem::kBlockSize;
|
||||
constexpr index_t WaveSize = get_warp_size();
|
||||
constexpr index_t WaveNum = BlockSize / WaveSize;
|
||||
|
||||
constexpr index_t kNPerBlock = TileShape::BlockTile::at(I1);
|
||||
|
||||
constexpr index_t M_Warps = TileShape::BlockWarps::at(I0);
|
||||
constexpr index_t N_Warps = TileShape::BlockWarps::at(I1);
|
||||
|
||||
static_assert(WaveNum == M_Warps * N_Warps, "Block warps do not match block size");
|
||||
|
||||
constexpr index_t N_Lanes = TileShape::WarpTile::at(I1);
|
||||
constexpr index_t K_Lanes = 64 / N_Lanes;
|
||||
|
||||
// Y dimension (M) decomposition
|
||||
constexpr index_t Y2 = N_Lanes;
|
||||
constexpr index_t Y1 = N_Warps;
|
||||
constexpr index_t Y0 = kNPerBlock / (NXdlPack * Y1 * Y2);
|
||||
|
||||
// X dimension (K) decomposition
|
||||
constexpr index_t X0 = K_Lanes;
|
||||
constexpr index_t X1 = 1; // packed 2x2 E8M0 data into 1 int32_t for load
|
||||
|
||||
return make_static_tile_distribution(
|
||||
tile_distribution_encoding<sequence<M_Warps>, // ?
|
||||
tuple<sequence<Y0, Y1, Y2>, sequence<X0, X1>>,
|
||||
tuple<sequence<0, 1>, sequence<2, 1>>,
|
||||
tuple<sequence<0, 1>, sequence<0, 2>>,
|
||||
sequence<1, 2>,
|
||||
sequence<0, 1>>{});
|
||||
}
|
||||
|
||||
template <typename Problem>
|
||||
CK_TILE_HOST_DEVICE static constexpr auto MakeMXFP4_ScaleA_FlatDramTileDistribution()
|
||||
{
|
||||
using TileShape = typename Problem::BlockGemmShape;
|
||||
|
||||
constexpr index_t M_Warp = TileShape::BlockWarps::at(number<0>{});
|
||||
constexpr index_t K_Lane = 64 / TileShape::WarpTile::at(I0);
|
||||
constexpr index_t M_Lane = TileShape::WarpTile::at(I0);
|
||||
constexpr index_t N_Wrap = TileShape::BlockWarps::at(number<1>{});
|
||||
constexpr index_t MWavePerBlk = M_Warp;
|
||||
|
||||
return make_static_tile_distribution(
|
||||
tile_distribution_encoding<sequence<N_Wrap>, // ?
|
||||
tuple<sequence<MWavePerBlk, M_Lane>, // second direction
|
||||
sequence<K_Lane, 1>>, // first direction
|
||||
tuple<sequence<1, 0>, sequence<2, 1>>, // which direction
|
||||
tuple<sequence<0, 0>, sequence<0, 1>>, // which index
|
||||
// <repeat, vec_load>
|
||||
sequence<2>,
|
||||
sequence<1>>{});
|
||||
}
|
||||
|
||||
template <typename Problem>
|
||||
CK_TILE_HOST_DEVICE static constexpr auto MakeMXFP4_ScaleB_FlatDramTileDistribution()
|
||||
{
|
||||
using TileShape = typename Problem::BlockGemmShape;
|
||||
|
||||
constexpr index_t N_Warp = TileShape::BlockWarps::at(number<1>{});
|
||||
constexpr index_t K_Lane = 64 / TileShape::WarpTile::at(I1);
|
||||
constexpr index_t N_Lane = TileShape::WarpTile::at(I1);
|
||||
constexpr index_t M_Wrap = TileShape::BlockWarps::at(number<0>{});
|
||||
constexpr index_t NWavePerBlk = N_Warp;
|
||||
|
||||
return make_static_tile_distribution(
|
||||
tile_distribution_encoding<sequence<M_Wrap>, // ?
|
||||
tuple<sequence<NWavePerBlk, N_Lane>, // second direction
|
||||
sequence<K_Lane, 1>>, // first direction
|
||||
tuple<sequence<0, 1>, sequence<2, 1>>, // which direction
|
||||
tuple<sequence<0, 0>, sequence<0, 1>>, // which index
|
||||
// <repeat, vec_load>
|
||||
sequence<2>,
|
||||
sequence<1>>{});
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace ck_tile
|
||||
Reference in New Issue
Block a user