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14 changes: 13 additions & 1 deletion projects/hipblaslt/tensilelite/Tensile/KernelWriter.py
Original file line number Diff line number Diff line change
Expand Up @@ -1469,7 +1469,7 @@ def calculateRangeAndUpdateCounter(itemCounter, writeCounters, length):
iterCode.add(waitDsRead)
else:
if kernel["UnrollMajorLDSB"] and not (kernel["ProblemType"]["DataTypeB"].isAnyFloat8() and kernel["ConvertAfterDS"]):
if iteration == 0 and i == kernel["MIWaveTileA"]:
if iteration == 0 and i == (kernel["MIWaveTileA"] // kernel["numSubTiles"]):
# add 1 more waitcnt before using ds read data
waitCode2 = deepcopy(waitCode)
waitCode2.dscnt = localReadsIssuedInThisIter
Expand Down Expand Up @@ -5878,13 +5878,19 @@ def GNLCOInit(tc):
# reads Per Iteration
########################################
if kernel["EnableMatrixInstruction"]:
factorSubIterA = kernel["numSubTiles"]
if kernel["UnrollMajorLDSA"] or kernel["enableLDSTrA"]:
self.states.numReadsPerUnrollA = ceil(tensorParametersA["bpe"] * kernel["MIInputPerThreadA"] / int(tensorParametersA["localReadInstruction"].blockWidth * 4))
else:
self.states.numReadsPerUnrollA = kernel["MIInputPerThreadA"]
if kernel["ForceUnrollSubIter"] and self.states.numReadsPerUnrollA > 1:
self.states.numReadsPerUnrollA //= kernel["numSubTiles"]
factorSubIterA = 1
numA = kernel["InnerUnroll"]*(kernel["MIWaveTile"][0] * self.states.numReadsPerUnrollA) // tensorParametersA["localReadInstruction"].numOffsets
if self.states.lrvwTileA > 1:
numA = numA // kernel["VectorWidthA"]
if kernel["ForceUnrollSubIter"]:
numA = numA // factorSubIterA

if kernel["ProblemType"]["MXBlockA"]:
self.states.numReadsPerUnrollMXSA = 1
Expand All @@ -5900,13 +5906,19 @@ def GNLCOInit(tc):
tileM = kernel["MIWaveTile"][1] if kernel["ProblemType"]["Sparse"] == 2 else kernel["MIWaveTile"][0]
numM = kernel["InnerUnroll"]*(tileM * self.states.numReadsPerUnrollMetadata) // tensorParametersM["localReadInstruction"].numOffsets

factorSubIterB = kernel["numSubTiles"]
if kernel["UnrollMajorLDSB"] or kernel["enableLDSTrB"]:
self.states.numReadsPerUnrollB = ceil(tensorParametersB["bpe"] * kernel["MIInputPerThreadB"] / int(tensorParametersB["localReadInstruction"].blockWidth * 4))
else:
self.states.numReadsPerUnrollB = kernel["MIInputPerThreadB"]
if kernel["ForceUnrollSubIter"] and self.states.numReadsPerUnrollB > 1:
self.states.numReadsPerUnrollB //= kernel["numSubTiles"]
factorSubIterB = 1
numB = kernel["InnerUnroll"]*(kernel["MIWaveTile"][1] * self.states.numReadsPerUnrollB) // tensorParametersB["localReadInstruction"].numOffsets
if self.states.lrvwTileB > 1:
numB = numB // kernel["VectorWidthB"]
if kernel["ForceUnrollSubIter"]:
numB = numB // factorSubIterB

if kernel["ProblemType"]["MXBlockB"]:
self.states.numReadsPerUnrollMXSB = 1
Expand Down
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