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52 changes: 25 additions & 27 deletions mlir/lib/Conversion/NVGPUToNVVM/NVGPUToNVVM.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -26,13 +26,12 @@
#include "mlir/IR/Value.h"
#include "mlir/Pass/Pass.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/DebugLog.h"
#include "llvm/Support/ErrorHandling.h"
#include "llvm/Support/raw_ostream.h"
#include <optional>

#define DEBUG_TYPE "nvgpu-to-nvvm"
#define DBGS() (llvm::dbgs() << '[' << DEBUG_TYPE << "] ")
#define DBGSE() (llvm::dbgs())

namespace mlir {
#define GEN_PASS_DEF_CONVERTNVGPUTONVVMPASS
Expand Down Expand Up @@ -1105,13 +1104,13 @@ struct NVGPUGenerateWarpgroupDescriptorLowering
// // [0,14) start_address
dsc = insertBit(dsc, basePtr14bit, startBaseAddrBit);

LLVM_DEBUG(DBGS() << "Generating warpgroup.descriptor: "
<< "leading_off:" << leadDimVal << "\t"
<< "stride_off :" << strideDimVal << "\t"
<< "base_offset:" << offsetVal << "\t"
<< "layout_type:" << swizzle << " ("
<< nvgpu::stringifyTensorMapSwizzleKind(swizzleKind)
<< ")\n start_addr : " << baseAddr << "\n");
LDBG() << "Generating warpgroup.descriptor: "
<< "leading_off:" << leadDimVal << "\t"
<< "stride_off :" << strideDimVal << "\t"
<< "base_offset:" << offsetVal << "\t"
<< "layout_type:" << swizzle << " ("
<< nvgpu::stringifyTensorMapSwizzleKind(swizzleKind)
<< ")\n start_addr : " << baseAddr;

rewriter.replaceOp(op, dsc);
return success();
Expand Down Expand Up @@ -1281,8 +1280,8 @@ struct NVGPUWarpgroupMmaOpLowering
} else {
llvm_unreachable("msg: not supported K shape");
}
LLVM_DEBUG(DBGS() << "Generating WgmmaMmaAsyncOp shape[m = " << wgmmaM
<< ", n = " << wgmmaN << ", k = " << wgmmaK << "]\n");
LDBG() << "Generating WgmmaMmaAsyncOp shape[m = " << wgmmaM
<< ", n = " << wgmmaN << ", k = " << wgmmaK << "]";
}

/// Generates WGMMATypesAttr from MLIR Type
Expand Down Expand Up @@ -1366,9 +1365,9 @@ struct NVGPUWarpgroupMmaOpLowering
int tileShapeA = matrixTypeA.getDimSize(1);
int incrementVal = ((wgmmaK * k) + (totalK * tileShapeA * i)) * byte;
incrementVal = incrementVal >> exclude4LSB;
LLVM_DEBUG(DBGS() << "\t\t[m: " << i << " n: " << j << " k: " << k
<< "] [wgmma descriptors] Descriptor A + "
<< incrementVal << " | \t ");
LDBG() << "\t\t[m: " << i << " n: " << j << " k: " << k
<< "] [wgmma descriptors] Descriptor A + " << incrementVal
<< " | \t ";
if (!incrementVal)
return desc;
return makeAdd(desc, makeI64Const(b, incrementVal));
Expand All @@ -1391,7 +1390,7 @@ struct NVGPUWarpgroupMmaOpLowering
int byte = elemB.getIntOrFloatBitWidth() / 8;
int incrementVal = matrixTypeB.getDimSize(0) * wgmmaK * k * byte;
incrementVal = incrementVal >> exclude4LSB;
LLVM_DEBUG(DBGSE() << "Descriptor B + " << incrementVal << "\n");
LDBG() << "Descriptor B + " << incrementVal;
if (!incrementVal)
return desc;
return makeAdd(desc, makeI64Const(b, incrementVal));
Expand All @@ -1400,15 +1399,14 @@ struct NVGPUWarpgroupMmaOpLowering
/// This function generates a WgmmaMmaAsyncOp using provided GMMA matrix
/// descriptors and arranges them based on induction variables: i, j, and k.
Value generateWgmma(int i, int j, int k, Value matrixC) {
LLVM_DEBUG(DBGS() << "\t wgmma."
<< "m" << wgmmaM << "n" << wgmmaN << "k" << wgmmaK
<< "(A[" << (iterationM * wgmmaM) << ":"
<< (iterationM * wgmmaM) + wgmmaM << "]["
<< (iterationK * wgmmaK) << ":"
<< (iterationK * wgmmaK + wgmmaK) << "] * "
<< " B[" << (iterationK * wgmmaK) << ":"
<< (iterationK * wgmmaK + wgmmaK) << "][" << 0 << ":"
<< wgmmaN << "])\n");
LDBG() << "\t wgmma."
<< "m" << wgmmaM << "n" << wgmmaN << "k" << wgmmaK << "(A["
<< (iterationM * wgmmaM) << ":" << (iterationM * wgmmaM) + wgmmaM
<< "][" << (iterationK * wgmmaK) << ":"
<< (iterationK * wgmmaK + wgmmaK) << "] * "
<< " B[" << (iterationK * wgmmaK) << ":"
<< (iterationK * wgmmaK + wgmmaK) << "][" << 0 << ":" << wgmmaN
<< "])";

Value descriptorA = iterateDescriptorA(adaptor.getDescriptorA(), i, j, k);
Value descriptorB = iterateDescriptorB(adaptor.getDescriptorB(), i, j, k);
Expand Down Expand Up @@ -1467,9 +1465,9 @@ struct NVGPUWarpgroupMmaOpLowering
totalM = op.getDescriptorA().getType().getTensor().getDimSize(0);
totalN = op.getDescriptorB().getType().getTensor().getDimSize(1);
totalK = op.getDescriptorA().getType().getTensor().getDimSize(1);
LLVM_DEBUG(DBGS() << "===--- GEMM D[" << totalM << "][" << totalN
<< "] += A[" << totalM << "][" << totalK << "] * B["
<< totalK << "][" << totalN << "] ---===\n");
LDBG() << "===--- GEMM D[" << totalM << "][" << totalN << "] += A["
<< totalM << "][" << totalK << "] * B[" << totalK << "][" << totalN
<< "] ---===";

// Find the shape for one wgmma instruction
findWgmmaShape(
Expand Down
9 changes: 4 additions & 5 deletions mlir/lib/Conversion/NVVMToLLVM/NVVMToLLVM.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -25,11 +25,10 @@
#include "mlir/IR/Value.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Support/LLVM.h"
#include "llvm/Support/DebugLog.h"
#include "llvm/Support/raw_ostream.h"

#define DEBUG_TYPE "nvvm-to-llvm"
#define DBGS() (llvm::dbgs() << "[" DEBUG_TYPE "]: ")
#define DBGSNL() (llvm::dbgs() << "\n")

namespace mlir {
#define GEN_PASS_DEF_CONVERTNVVMTOLLVMPASS
Expand All @@ -52,17 +51,17 @@ struct PtxLowering
LogicalResult matchAndRewrite(BasicPtxBuilderInterface op,
PatternRewriter &rewriter) const override {
if (op.hasIntrinsic()) {
LLVM_DEBUG(DBGS() << "Ptx Builder does not lower \n\t" << op << "\n");
LDBG() << "Ptx Builder does not lower \n\t" << op;
return failure();
}

SmallVector<std::pair<Value, PTXRegisterMod>> asmValues;
LLVM_DEBUG(DBGS() << op.getPtx() << "\n");
LDBG() << op.getPtx();
PtxBuilder generator(op, rewriter);

op.getAsmValues(rewriter, asmValues);
for (auto &[asmValue, modifier] : asmValues) {
LLVM_DEBUG(DBGSNL() << asmValue << "\t Modifier : " << &modifier);
LDBG() << asmValue << "\t Modifier : " << &modifier;
generator.insertValue(asmValue, modifier);
}

Expand Down