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[rocm-libraries] ROCm/rocm-libraries#1753 (commit 0a25de4)
Cherry-Pick StreamK Changes to rocm 7.0 ## Motivation Some StreamK features/improvements are needed. ## Technical Details This PR avoids multiple potential overflows in StreamK math. ## Test Plan Locally on GFX950 and CI ## Test Result [----------] Global test environment tear-down [==========] 19997 tests from 12 test suites ran. (1601396 ms total) [ PASSED ] 19997 tests. hipBLASLt version: 100000 hipBLASLt git version: 20250912-42-17-gb1537e7cb6-dirty command line: ./hipblaslt-test ## Submission Checklist - [x] Look over the contributing guidelines at https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
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‎tensilelite/Tensile/Components/Signature.py‎

Lines changed: 5 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -208,14 +208,15 @@ def __call__(self, writer) -> SignatureBase:
208208
if kernel["StreamK"]:
209209
# StreamK args
210210
signature.addArg("ItersPerTile", SVK.SIG_VALUE, "u32")
211+
signature.addArg("MagicNumberItersPerTile", SVK.SIG_VALUE, "u32")
212+
signature.addArg("MagicShiftItersPerTile", SVK.SIG_VALUE, "u32")
211213
signature.addArg("TotalIters", SVK.SIG_VALUE, "u32")
212214
signature.addArg("SKItersPerWG", SVK.SIG_VALUE, "u32")
213-
userArgumentsInfo.gemmArgumentSize += 12
215+
userArgumentsInfo.gemmArgumentSize += 20
214216
if kernel["StreamK"] >= 2: # Two-tile SK
215-
signature.addArg("skGridAndTiles", SVK.SIG_VALUE, "u32")
216-
signature.addArg("skExtraIters", SVK.SIG_VALUE, "u32")
217+
signature.addArg("skGrid", SVK.SIG_VALUE, "u32")
218+
signature.addArg("skTiles", SVK.SIG_VALUE, "u32")
217219
userArgumentsInfo.gemmArgumentSize += 8
218-
# "dpTilesPerWG"
219220

220221
if kernel["ProblemType"]["UseScaleAB"]:
221222
signature.addArg("AddressScaleA", SVK.SIG_GLOBALBUFFER, cptValueType, "generic")

‎tensilelite/Tensile/Components/StreamK.py‎

Lines changed: 45 additions & 38 deletions
Large diffs are not rendered by default.

‎tensilelite/Tensile/KernelWriter.py‎

Lines changed: 5 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -4691,13 +4691,14 @@ def readWriteVectors(mat, vw, kernel):
46914691
if kernel["StreamK"]:
46924692
# StreamK args
46934693
self.defineSgpr("ItersPerTile", 1)
4694+
self.defineSgpr("MagicNumberItersPerTile", 1)
4695+
self.defineSgpr("MagicShiftItersPerTile", 1)
46944696
self.defineSgpr("TotalIters", 1)
46954697
self.defineSgpr("SKItersPerWG", 1)
4696-
self.states.numSgprStreamK += 3
4698+
self.states.numSgprStreamK += 5
46974699
if kernel["StreamK"] >= 2: # Two-tile SK
4698-
self.defineSgpr("skGridAndTiles", 1)
4699-
self.defineSgpr("skExtraIters", 1)
4700-
# self.defineSgpr("dpTilesPerWG", 1, kernarg=True)
4700+
self.defineSgpr("skGrid", 1)
4701+
self.defineSgpr("skTiles", 1)
47014702
self.states.numSgprStreamK += 2
47024703

47034704
if kernel["LocalWriteUseSgprA"]:

‎tensilelite/Tensile/Source/client/include/LogReporter.hpp‎

Lines changed: 3 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -211,7 +211,10 @@ namespace TensileLite
211211
else if(value == "DID_NOT_SATISFY_ASSERTS")
212212
m_rowLevel = LogLevel::Terse;
213213
else if(value == "INVALID")
214+
{
214215
m_rowLevel = LogLevel::Error;
216+
++m_exceptionsReported;
217+
}
215218
}
216219

217220
virtual bool logAtLevel(LogLevel level) override

‎tensilelite/Tensile/Source/client/include/ResultReporter.hpp‎

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -280,8 +280,11 @@ namespace TensileLite
280280

281281
virtual int error() const override
282282
{
283-
return 0;
283+
return m_exceptionsReported;
284284
}
285+
286+
protected:
287+
size_t m_exceptionsReported = 0;
285288
};
286289

287290
} // namespace Client

‎tensilelite/Tensile/Source/lib/source/ContractionSolution.cpp‎

Lines changed: 66 additions & 27 deletions
Original file line numberDiff line numberDiff line change
@@ -702,53 +702,92 @@ namespace TensileLite
702702

703703
auto tiles = problem.getNumTiles(sizeMapping, gsu);
704704

705-
// Clamp minimum iters per tile to 1 to allow stream-k index calculation to work in case K==0
706-
// In this case no actual iterations will be run, but workgroups will be mapped correctly for beta*C
707-
auto itersPerTile = max(1, problem.getItersPerTile(sizeMapping));
708-
auto totalIters = tiles * itersPerTile;
709-
args.template append<uint32_t>("itersPerTile", itersPerTile);
710-
args.template append<uint32_t>("totalIters", totalIters);
711-
712-
if(sizeMapping.streamK == 1) // Basic SK
713-
{
714-
uint32_t itersPerWave = CeilDivide(totalIters, numWorkGroups.x);
715-
args.template append<uint32_t>("SKItersPerWG", itersPerWave);
705+
if(sizeMapping.customKernelName.empty())
706+
{
707+
// Clamp minimum iters per tile to 1 to allow stream-k index calculation to work in case K==0
708+
// In this case no actual iterations will be run, but workgroups will be mapped correctly for beta*C
709+
auto itersPerTile = max(1, problem.getItersPerTile(sizeMapping));
710+
auto totalIters = tiles * itersPerTile;
711+
uint32_t magicNumberItersPerTile;
712+
uint32_t magicShiftItersPerTile;
713+
magicNumberItersPerTile = magicNumber(2, itersPerTile, &magicShiftItersPerTile);
714+
715+
args.template append<uint32_t>("itersPerTile", itersPerTile);
716+
args.template append<uint32_t>("magicNumberItersPerTile", magicNumberItersPerTile);
717+
args.template append<uint32_t>("magicShiftItersPerTile", magicShiftItersPerTile);
718+
args.template append<uint32_t>("totalIters", totalIters);
719+
720+
if(sizeMapping.streamK == 1) // Basic SK
721+
{
722+
uint32_t itersPerWave = CeilDivide(totalIters, numWorkGroups.x);
723+
args.template append<uint32_t>("SKItersPerWG", itersPerWave);
724+
}
725+
else if(sizeMapping.streamK >= 2) // Two-tile SK
726+
{
727+
size_t skGrid = numWorkGroups.x;
728+
729+
AMDGPU const* pAMDGPU = dynamic_cast<AMDGPU const*>(hardware);
730+
assert(pAMDGPU != nullptr && pAMDGPU->computeUnitCount != 0);
731+
int fullTiles = pAMDGPU->skFullTiles;
732+
733+
bool bigEnough = tiles > skGrid;
734+
// skTiles is number of Stream-K tiles to complete
735+
// Two-tile algorithm causes each WG to run an even number of Stream-K iterations,
736+
// followed by an even number of data-parllel tiles.
737+
// If total tiles is evenly divisble by grid size,
738+
// then no Stream-K tiles are needed, all data-parallel
739+
uint32_t skTiles = skGrid;
740+
// If not evenly divisible, determine number of Stream-K tiles
741+
if(tiles % skGrid != 0)
742+
{
743+
// Number of data-parallel tiles on each workgroup would be:
744+
// dpTilesPerWG = bigEnough ? (tiles - skTiles) / skGrid : 0;
745+
skTiles = bigEnough ? skGrid * fullTiles + tiles % skGrid : tiles;
746+
// Cap Stream-K tiles at total number of tiles in case of large multiplier
747+
skTiles = min(skTiles, tiles);
748+
}
749+
750+
uint32_t skItersPerWG = skTiles * itersPerTile / skGrid;
751+
752+
args.template append<uint32_t>("SKItersPerWG", skItersPerWG);
753+
args.template append<uint32_t>("skGrid", skGrid);
754+
args.template append<uint32_t>("skTiles", skTiles);
755+
}
716756
}
717-
else if(sizeMapping.streamK >= 2) // Two-tile SK
757+
else // custom kernel
718758
{
719-
size_t skGrid = numWorkGroups.x;
759+
auto itersPerTile = max(1, problem.getItersPerTile(sizeMapping));
760+
auto totalIters = tiles * itersPerTile;
720761

721762
AMDGPU const* pAMDGPU = dynamic_cast<AMDGPU const*>(hardware);
722763
assert(pAMDGPU != nullptr && pAMDGPU->computeUnitCount != 0);
723764
int fullTiles = pAMDGPU->skFullTiles;
724765

766+
size_t skGrid = numWorkGroups.x;
767+
725768
bool bigEnough = tiles > skGrid;
726-
// skTiles is number of Stream-K tiles to complete
727-
// Two-tile algorithm causes each WG to run an even number of Stream-K iterations,
728-
// followed by an even number of data-parllel tiles.
729-
// If total tiles is evenly divisble by grid size,
730-
// then no Stream-K tiles are needed, all data-parallel
731769
uint32_t skTiles = skGrid;
732-
// If not evenly divisible, determine number of Stream-K tiles
733770
if(tiles % skGrid != 0)
734771
{
735-
// Number of data-parallel tiles on each workgroup would be:
736-
// dpTilesPerWG = bigEnough ? (tiles - skTiles) / skGrid : 0;
737772
skTiles = bigEnough ? skGrid * fullTiles + tiles % skGrid : tiles;
738-
// Cap Stream-K tiles at total number of tiles in case of large multiplier
739773
skTiles = min(skTiles, tiles);
740774
}
741775

742776
uint32_t skItersPerWG = skTiles * itersPerTile / skGrid;
743777
uint32_t skExtraIters = skTiles * itersPerTile % (skGrid);
778+
uint32_t skGridAndTiles = (skGrid << 16) | (skTiles & 0xFFFF);
744779

745-
// Pack skGrid and skTiles into a single uint32_t such that the upper 16 bits
746-
// represent skGrid and the lower 16 bits represent skTiles
747-
uint32_t skGridAndTiles = (skGrid <<16) | (skTiles & 0xFFFF);
780+
// safe guard
781+
if(skGrid > 65535 || skTiles > 65535)
782+
{
783+
throw std::runtime_error("Packing skGrid and skTiles exceeds the capacity of a 32-bit register.");
784+
}
748785

749-
args.template append<uint32_t>("SKItersPerWG", skItersPerWG);
786+
args.template append<uint32_t>("itersPerTile", itersPerTile);
787+
args.template append<uint32_t>("totalIters", totalIters);
788+
args.template append<uint32_t>("SKItersPerWG", skItersPerWG);
750789
args.template append<uint32_t>("skGridAndTiles", skGridAndTiles);
751-
args.template append<uint32_t>("skExtraIters", skExtraIters);
790+
args.template append<uint32_t>("skExtraIters", skExtraIters);
752791
}
753792
}
754793

‎tensilelite/Tensile/Tests/common/groupedgemm/grouped_gemm_userargs.yaml‎

Lines changed: 15 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -63,7 +63,11 @@ BenchmarkProblems:
6363
- StoreVectorWidth: [-1]
6464
- SourceSwap: [1]
6565
- NumElementsPerBatchStore: [-1]
66-
- GlobalSplitU: [1, 2]
66+
# TODO GSU=2 + Algo=MB fails kernel launch
67+
# Was silently failing prior to exceptions being flagged as errors
68+
# Need to review this test case
69+
# - GlobalSplitU: [1, 2]
70+
- GlobalSplitU: [1]
6771
- PreloadKernArgs: [0, 1]
6872
- GlobalSplitUAlgorithm: ["MultipleBuffer", "MultipleBufferSingleKernel"]
6973
BenchmarkJoinParameters:
@@ -114,7 +118,11 @@ BenchmarkProblems:
114118
- StoreVectorWidth: [-1]
115119
- SourceSwap: [1]
116120
- NumElementsPerBatchStore: [-1]
117-
- GlobalSplitU: [1, 2]
121+
# TODO GSU=2 + Algo=MB fails kernel launch
122+
# Was silently failing prior to exceptions being flagged as errors
123+
# Need to review this test case
124+
# - GlobalSplitU: [1, 2]
125+
- GlobalSplitU: [1]
118126
- GlobalSplitUAlgorithm: ["MultipleBuffer", "MultipleBufferSingleKernel"]
119127
BenchmarkJoinParameters:
120128
BenchmarkFinalParameters:
@@ -165,7 +173,11 @@ BenchmarkProblems:
165173
- StoreVectorWidth: [-1]
166174
- SourceSwap: [1]
167175
- NumElementsPerBatchStore: [-1]
168-
- GlobalSplitU: [1, 2]
176+
# TODO GSU=2 + Algo=MB fails kernel launch
177+
# Was silently failing prior to exceptions being flagged as errors
178+
# Need to review this test case
179+
# - GlobalSplitU: [1, 2]
180+
- GlobalSplitU: [1]
169181
- GlobalSplitUAlgorithm: ["MultipleBuffer", "MultipleBufferSingleKernel"]
170182
BenchmarkJoinParameters:
171183
BenchmarkFinalParameters:

‎tensilelite/Tensile/Tests/common/streamk/sk_bgemm_div.yaml‎

Lines changed: 76 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,76 @@
1+
TestParameters:
2+
marks: [skip-gfx900, skip-gfx906, skip-gfx908, skip-gfx90a, skip-gfx942, skip-gfx1010, skip-gfx1011, skip-gfx1012, skip-gfx1030, skip-gfx1100, skip-gfx1101, skip-gfx1102, skip-gfx1200, skip-gfx1201] # not supported by arch
3+
4+
GlobalParameters:
5+
NumElementsToValidate: 128
6+
BoundsCheck: False
7+
KernelTime: False
8+
DataInitTypeAlpha: 1
9+
DataInitTypeBeta: 1
10+
DataInitTypeA: 12
11+
DataInitTypeB: 13
12+
DataInitTypeC: 12
13+
# DataInitTypeC: 1
14+
# ValidationPrintValids: True
15+
MaxWorkspaceSize: 134217728
16+
# PrintSolutionRejectionReason: True
17+
# ForceGenerateKernel: True
18+
# GenerateSourcesAndExit: True
19+
NumWarmups: 0
20+
EnqueuesPerSync: 1
21+
# NumBenchmarks: 10
22+
SleepPercent: 50
23+
24+
BenchmarkProblems:
25+
26+
- # BGEMM NT
27+
- # ProblemType
28+
OperationType: GEMM
29+
DataType: b
30+
DestDataType: b
31+
ComputeDataType: s
32+
HighPrecisionAccumulate: True
33+
TransposeA: False
34+
TransposeB: True
35+
UseBeta: True
36+
Batched: True
37+
38+
# BGEMM NT - Test tile index calculation
39+
# Rounding error in tile index occurred in problem with large total iteration count and partial tiles
40+
# This test should be run at 255 or 510 WGs (510 currently selected at launch time)
41+
# TODO encode launch grid in test file for future-proofing
42+
-
43+
InitialSolutionParameters:
44+
BenchmarkCommonParameters:
45+
- KernelLanguage: ["Assembly"]
46+
- PrefetchLocalRead: [True]
47+
ForkParameters:
48+
- 1LDSBuffer: [1]
49+
- DepthU: [ 32 ]
50+
- ExpandPointerSwap: [False]
51+
- GlobalReadVectorWidthA: [8]
52+
- GlobalReadVectorWidthB: [8]
53+
- GlobalSplitU: [0]
54+
# - LocalReadVectorWidth: [8]
55+
- MatrixInstruction:
56+
- [16, 16, 32, 1, 1, 4,6, 2,2]
57+
- MIArchVgpr: [0]
58+
- PrefetchGlobalRead: [2]
59+
- PrefetchLocalRead: [1]
60+
- ScheduleIterAlg: [3]
61+
- SourceSwap: [True]
62+
- StoreRemapVectorWidth: [0]
63+
# - StoreVectorWidth: [4]
64+
- StreamK: [3]
65+
- TransposeLDS: [0]
66+
# - VectorWidthA: [4]
67+
# - VectorWidthB: [4]
68+
- WorkGroupMapping: [1]
69+
70+
BenchmarkForkParameters:
71+
JoinParameters:
72+
BenchmarkJoinParameters:
73+
BenchmarkFinalParameters:
74+
- ProblemSizes:
75+
- Exact: [8192, 57344, 1, 28672]
76+
# - Exact: [512, 512, 1, 512]

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