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69 lines
1.9 KiB
YAML
69 lines
1.9 KiB
YAML
# A config to generate a fast kernel for large DGEMMs
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GlobalParameters:
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EnqueuesPerSync: 1
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LibraryPrintDebug: False
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NumElementsToValidate: 0
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ValidationMaxToPrint: 4
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ValidationPrintValids: False
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KernelTime: True
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#PinClocks: True
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SleepPercent: 0
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DataInitTypeBeta : 0
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PrintSolutionRejectionReason: 1
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ClientArgs: "--stride_b 0"
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BenchmarkProblems:
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-
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- # ProblemType
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OperationType: GEMM
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DataType: s
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TransposeA: False
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TransposeB: True
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UseBeta: True
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Batched: True
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- # BenchmarkProblemSizeGroup - Standard
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InitialSolutionParameters:
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BenchmarkCommonParameters:
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- KernelLanguage: ["Assembly"]
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- EdgeType: ["ShiftPtr"]
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ForkParameters:
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- FractionalLoad: [1]
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- PrefetchGlobalRead: [ False, True ]
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- PrefetchLocalRead: [ True]
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- ThreadTile:
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- [ 4, 4 ]
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- [ 7, 8 ]
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- [ 9, 8 ]
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- [ 5, 8 ]
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- [ 8, 4 ]
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- [ 8, 8 ]
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- [ 10, 6 ]
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- [ 6, 10 ]
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- WorkGroup:
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#- [ 16, 8, 2 ]
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#- [ 16, 4, 4 ]
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- [ 16, 8, 1 ]
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- [ 8, 32, 1 ]
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- [ 16, 16, 1 ]
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- [ 32, 8, 1 ]
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- WorkGroupMapping: [1,8,64]
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- DepthU: [ 8,16,32 ]
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- VectorWidth: [-1] # use biggest available
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- GlobalReadVectorWidth: [1,-1] # 1 allows D2LDS
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- LdsPadA: [0, -1 ]
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- LdsPadB: [0, -1 ]
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- AssertSummationElementMultiple: [4]
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- AssertFree0ElementMultiple: [4]
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- AssertFree1ElementMultiple: [4]
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BenchmarkForkParameters:
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BenchmarkJoinParameters:
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BenchmarkFinalParameters:
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- ProblemSizes:
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# This example is from ResNet50 1x1 conv layer batch64, suffers from granularity loss:
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- Exact: [192, 1024, 64, 256 ] # much higher perf with smaller size
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- Exact: [196, 1024, 64, 256 ] # granularity loss
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########################################
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