init code

This commit is contained in:
Superjomn
2022-11-02 18:02:49 +08:00
parent 12d60cb4a3
commit da2993e1c7

View File

@@ -2836,10 +2836,7 @@ private:
ConversionPatternRewriter &rewriter) const;
LogicalResult convertFMADot(triton::DotOp op, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
assert(false && "Not implemented yet.");
return failure();
}
ConversionPatternRewriter &rewriter) const;
};
// Helper for conversion of DotOp with mma<version=1>, that is sm<80
@@ -4095,6 +4092,136 @@ DotOpMmaV1ConversionHelper::extractLoadedOperand(
return rcds;
}
LogicalResult
DotOpConversion::convertFMADot(triton::DotOp op, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const {
auto *ctx = rewriter.getContext();
auto loc = op.getLoc();
auto threadId = getThreadId(rewriter, loc);
auto A = op.a();
auto B = op.b();
auto C = op.c();
auto D = op.getResult();
auto aTensorTy = A.getType().cast<RankedTensorType>();
auto bTensorTy = B.getType().cast<RankedTensorType>();
auto cTensorTy = C.getType().cast<RankedTensorType>();
auto dTensorTy = D.getType().cast<RankedTensorType>();
auto aShape = aTensorTy.getShape();
auto bShape = bTensorTy.getShape();
auto cShape = cTensorTy.getShape();
auto aLayout = aTensorTy.getEncoding().cast<SharedEncodingAttr>();
auto bLayout = bTensorTy.getEncoding().cast<SharedEncodingAttr>();
auto cLayout = cTensorTy.getEncoding().cast<MmaEncodingAttr>();
auto dLayout = dTensorTy.getEncoding().cast<MmaEncodingAttr>();
auto aOrder = aLayout.getOrder();
auto bOrder = bLayout.getOrder();
// According to the original logic, if target.sm < 80, get a {0,1} or get a
// {1,0}
SmallVector<int> order(2);
if (dLayout.getVersion() == 1)
order = {0, 1};
else
order = {1, 0};
bool isARow = aOrder[0] == 1;
bool isBRow = bOrder[0] == 1;
int strideAM = isARow ? aShape[1] : 1;
int strideAK = isARow ? 1 : aShape[0];
int strideBN = isBRow ? 1 : aShape[0];
int strideBK = isBRow ? bShape[1] : 1;
int strideA0 = isARow ? strideAK : strideAM;
int strideA1 = isARow ? strideAM : strideAK;
int strideB0 = isBRow ? strideBN : strideBK;
int strideB1 = isBRow ? strideBK : strideBN;
int lda = isARow ? strideAM : strideAK;
int ldb = isBRow ? strideBK : strideBN;
int aPerPhase = aLayout.getPerPhase();
int aMaxPhase = aLayout.getMaxPhase();
int bPerPhase = bLayout.getPerPhase();
int bMaxPhase = bLayout.getMaxPhase();
int aNumPtr = 8;
int bNumPtr = 8;
int aVec = 2;
int bVec = 4;
int NK = aShape[isARow ? 1 : 0];
auto cShapePerCTA = getShapePerCTA(cLayout);
auto sizePerThread = getSizePerThread(dLayout);
Value _0 = i32_val(0);
Value _1 = i32_val(1);
Value mContig = _1;
Value nContig = _1;
Value offA0 = isARow ? _0 : mul(threadId, mContig);
Value offA1 = isARow ? mul(threadId, mContig) : _0;
SmallVector<Value> aOff(aNumPtr);
for (int i = 0; i < aNumPtr; ++i) {
aOff[i] = add(mul(offA0, i32_val(strideA0)), mul(offA1, i32_val(strideA1)));
}
Value offB0 = isBRow ? mul(threadId, nContig) : _0;
Value offB1 = isBRow ? _0 : mul(threadId, nContig);
SmallVector<Value> bOff(bNumPtr);
for (int i = 0; i < bNumPtr; ++i) {
bOff[i] = add(mul(offB0, i32_val(strideB0)), mul(offB1, i32_val(strideB1)));
}
Type f32PtrTy = ptr_ty(f32_ty);
SmallVector<Value> aPtrs(aNumPtr);
for (int i = 0; i < aNumPtr; ++i)
aPtrs[i] = gep(f32PtrTy, adaptor.a(), aOff[i]);
SmallVector<Value> bPtrs(bNumPtr);
for (int i = 0; i < bNumPtr; ++i)
bPtrs[i] = gep(f32PtrTy, adaptor.b(), bOff[i]);
std::map<std::pair<int, int>, Value> has, hbs;
// TODO initialize ret with zeros.
SmallVector<Value> ret(NK);
for (unsigned k = 0; k < NK; k++) {
int z = 0;
for (unsigned i = 0; i < cShape[order[1]]; i += cShapePerCTA[order[1]])
for (unsigned j = 0; j < cShape[order[0]]; j += cShapePerCTA[order[0]])
for (unsigned ii = 0; ii < sizePerThread[order[1]]; ++ii)
for (unsigned jj = 0; jj < sizePerThread[order[0]]; ++jj) {
unsigned m = order[0] == 1 ? i : j;
unsigned n = order[0] == 1 ? j : i;
unsigned mm = order[0] == 1 ? ii : jj;
unsigned nn = order[0] == 1 ? jj : ii;
if (!has.count({m + mm, k})) {
Value pa = gep(f32PtrTy, aPtrs[0],
i32_val((m + mm) * strideAM + k * strideAK));
Value va = load(pa);
has[{m + mm, k}] = va;
}
if (!has.count({n + nn, k})) {
Value pb = gep(f32PtrTy, bPtrs[0],
i32_val((n + nn) * strideBN + k * strideBK));
Value vb = load(pb);
has[{n + nn, k}] = vb;
}
ret[z++] = rewriter.create<LLVM::FMulAddOp>(
loc, has[{m + mm, k}], hbs[{n + nn, k}], ret[z]);
}
}
auto res = getStructFromElements(
loc, ret, rewriter,
struct_ty(SmallVector<Type>(ret.size(), ret[0].getType())));
rewriter.replaceOp(op, res);
return success();
}
/// ====================== mma codegen end ============================
Value convertSplatLikeOpWithMmaLayout(const MmaEncodingAttr &layout,