[Mlir-commits] [mlir] [Linalg] Add basic infra to add matchers for linalg.*conv*/*pool* ops (PR #163724)

Andrzej WarzyƄski llvmlistbot at llvm.org
Thu Oct 16 08:43:30 PDT 2025


================
@@ -240,6 +240,508 @@ bool isReductionIterator(utils::IteratorType iteratorType) {
   return iteratorType == utils::IteratorType::reduction;
 }
 
+//===----------------------------------------------------------------------===//
+// Convolution matcher utilities
+//===----------------------------------------------------------------------===//
+
+/// Utility to match block body for linalg.pool* ops.
+template <typename... OpTypes>
+static bool bodyMatcherForPoolOps(Value yieldVal, Block *body) {
+  Operation *defOp = yieldVal.getDefiningOp();
+  if (!(isa_and_present<OpTypes>(defOp) || ...))
+    return false;
+
+  BlockArgument lhsArg = dyn_cast<BlockArgument>(defOp->getOperand(0));
+  BlockArgument rhsArg = dyn_cast<BlockArgument>(defOp->getOperand(1));
+  if (!lhsArg || !rhsArg)
+    return false;
+  return true;
+}
+
+static bool bodyMatcherForMaxSignedPoolOps(Value yieldVal, Block *body) {
+  return bodyMatcherForPoolOps<arith::MaximumFOp, arith::MaxSIOp>(yieldVal,
+                                                                  body);
+}
+
+static bool bodyMatcherForMaxUnsignedPoolOps(Value yieldVal, Block *body) {
+  return bodyMatcherForPoolOps<arith::MaximumFOp, arith::MaxUIOp>(yieldVal,
+                                                                  body);
+}
+
+static bool bodyMatcherForMinSignedPoolOps(Value yieldVal, Block *body) {
+  return bodyMatcherForPoolOps<arith::MinimumFOp, arith::MinSIOp>(yieldVal,
+                                                                  body);
+}
+
+static bool bodyMatcherForMinUnsignedPoolOps(Value yieldVal, Block *body) {
+  return bodyMatcherForPoolOps<arith::MinimumFOp, arith::MinUIOp>(yieldVal,
+                                                                  body);
+}
+
+static bool bodyMatcherForSumPoolOps(Value yieldVal, Block *body) {
+  return bodyMatcherForPoolOps<arith::AddIOp, arith::AddFOp>(yieldVal, body);
+}
+
+static mlir::AffineExpr getAffineMapDim(ArrayAttr indexingMaps,
+                                        uint32_t mapIndex, uint32_t dimIndex) {
+  auto affineMap = cast<AffineMapAttr>(indexingMaps[mapIndex]).getValue();
+  if (dimIndex < affineMap.getNumResults())
+    return affineMap.getResult(dimIndex);
+  return nullptr;
+}
+
+// Check if `expr` is either:
+// - a dimension expr alone (implying *1), or
+// - a multiplication of dimension expr by constant.
+static bool isDimTimesConstantOrDimOnly(AffineExpr expr, AffineExpr &dim,
+                                        int64_t &constantValue) {
+  if (auto dExpr = dyn_cast<AffineDimExpr>(expr)) {
+    dim = dExpr;
+    constantValue = 1;
+    return true;
+  }
+
+  auto mulExpr = dyn_cast<AffineBinaryOpExpr>(expr);
+  if (!mulExpr || mulExpr.getKind() != AffineExprKind::Mul)
+    return false;
+
+  AffineExpr lhs = mulExpr.getLHS();
+  AffineExpr rhs = mulExpr.getRHS();
+
+  if (auto dExpr = dyn_cast<AffineDimExpr>(lhs)) {
+    if (auto cst = dyn_cast<AffineConstantExpr>(rhs)) {
+      dim = dExpr;
+      constantValue = cst.getValue();
+      return true;
+    }
+  }
+  if (auto cst = dyn_cast<AffineConstantExpr>(lhs)) {
+    if (auto dExpr = dyn_cast<AffineDimExpr>(rhs)) {
+      dim = dExpr;
+      constantValue = cst.getValue();
+      return true;
+    }
+  }
+  return false;
+}
+
+/// Given an array of AffineMaps `indexingMaps` verify the following :-
+///   indexingMaps[0].getResult(iDim) ==
+///         indexingMaps[1].getResult(fDim) * <CST_1> +
+///         indexingMaps[n-1].getResult(oDim) * <CST_2>
+///  where, CST_1 and CST_2 can be any constant.
+static bool matchConvDimAddExprPattern(ArrayAttr indexingMaps, unsigned iDim,
+                                       unsigned fDim, unsigned oDim,
+                                       int64_t &dilation, int64_t &stride) {
+  unsigned iIndex = 0, fIndex = 1, oIndex = indexingMaps.size() - 1;
+  AffineExpr inpExpr = getAffineMapDim(indexingMaps, iIndex, iDim);
+  auto addExpr = dyn_cast<AffineBinaryOpExpr>(inpExpr);
+  if (!addExpr || addExpr.getKind() != AffineExprKind::Add)
+    return false;
+
+  AffineExpr dim0, dim1;
+  int64_t c0, c1;
+
+  if (isDimTimesConstantOrDimOnly(addExpr.getLHS(), dim0, c0) &&
+      isDimTimesConstantOrDimOnly(addExpr.getRHS(), dim1, c1)) {
+    // Pattern matched with dims and constants extracted.
+    AffineExpr fExpr = getAffineMapDim(indexingMaps, fIndex, fDim);
+    AffineExpr oExpr = getAffineMapDim(indexingMaps, oIndex, oDim);
+    if (dim0 == fExpr && dim1 == oExpr) {
+      dilation = c0;
+      stride = c1;
+      return true;
+    } else if (dim1 == fExpr && dim0 == oExpr) {
+      dilation = c1;
+      stride = c0;
+      return true;
+    }
+  }
+  return false;
+}
+
+/// Given an array of AffineMaps `indexingMaps` verify the following :-
+///   indexingMaps[aIndex].getResult(aDim) ==
+///   indexingMaps[bIndex].getResult(bDim)
+static bool matchConvDimExprPattern(ArrayAttr indexingMaps, unsigned aIndex,
+                                    unsigned aDim, unsigned bIndex,
+                                    unsigned bDim) {
+  return getAffineMapDim(indexingMaps, aIndex, aDim) ==
+         getAffineMapDim(indexingMaps, bIndex, bDim);
+}
+
+/// Give an array of AffineMaps, verify each map to be of the corresponding
+/// `expectedSize`.
+static bool verifyConvIndexingMapSizes(ArrayAttr indexingMaps,
+                                       ArrayRef<int64_t> expectedSizes) {
+  if (indexingMaps.size() != expectedSizes.size())
+    return false;
+
+  for (auto [indexingMap, expectedSize] :
+       llvm::zip_equal(indexingMaps, expectedSizes)) {
+    auto affineMap = cast<AffineMapAttr>(indexingMap).getValue();
+    if (affineMap.getNumResults() != expectedSize)
+      return false;
+  }
+  return true;
+}
+
+/// Utility to update `dilations` and `strides` by copy the corresponding data
+/// from `tempDilations` and `tempStrides`.
+static bool updateConvDilationsAndStrides(SmallVector<int64_t> *dilations,
+                                          SmallVector<int64_t> *strides,
+                                          ArrayRef<int64_t> tempDilations,
+                                          ArrayRef<int64_t> tempStrides) {
+  if (!(dilations && strides))
+    return true;
+  for (auto [dilation, stride] : llvm::zip(tempDilations, tempStrides)) {
+    dilations->push_back(dilation);
+    strides->push_back(stride);
+  }
+  return true;
+}
+
+static bool isaDepthwiseConv1DNwcWcOp(LinalgOp op,
+                                      SmallVector<int64_t> *dilations,
+                                      SmallVector<int64_t> *strides) {
+  if (isa<linalg::DepthwiseConv1DNwcWcOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {3, 2, 3}))
+    return false;
+
+  unsigned iIndex = 0, fIndex = 1, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(1, 1);
+  SmallVector<int64_t> tempStrides(1, 1);
+  // #map = affine_map<(d0, d1, d2, d3) -> (d0, d1 + d3, d2)>
+  // #map1 = affine_map<(d0, d1, d2, d3) -> (d3, d2)>
+  // #map2 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 2, fIndex, 1) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 2, oIndex, 2) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/1, /*fDim=*/0,
+                                  /*oDim=*/1, tempDilations[0],
+                                  tempStrides[0]));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+static bool isaDepthwiseConv2DNchwChwOp(LinalgOp op,
+                                        SmallVector<int64_t> *dilations,
+                                        SmallVector<int64_t> *strides) {
+  if (isa<linalg::DepthwiseConv2DNchwChwOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {4, 3, 4}))
+    return false;
+
+  unsigned iIndex = 0, fIndex = 1, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(2, 1);
+  SmallVector<int64_t> tempStrides(2, 1);
+  // #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d3, d1 + d4, d2 + d5)>
+  // #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d3, d4, d5)>
+  // #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d3, d1, d2)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 1, fIndex, 0) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 1, oIndex, 1) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/2, /*fDim=*/1,
+                                  /*oDim=*/2, tempDilations[0],
+                                  tempStrides[0]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/3, /*fDim=*/2,
+                                  /*oDim=*/3, tempDilations[1],
+                                  tempStrides[1]));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+static bool isaDepthwiseConv3DNdhwcDhwcmOp(LinalgOp op,
+                                           SmallVector<int64_t> *dilations,
+                                           SmallVector<int64_t> *strides) {
+  if (isa<linalg::DepthwiseConv3DNdhwcDhwcmOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {5, 5, 6}))
+    return false;
+
+  unsigned iIndex = 0, fIndex = 1, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(3, 1);
+  SmallVector<int64_t> tempStrides(3, 1);
+  // #map = affine_map<(d0, d1, d2, d3, d4, d5, d6, d7, d8)
+  //                  -> (d0, d1 + d5, d2 + d6, d3 + d7, d8)>
+  // #map1 = affine_map<(d0, d1, d2, d3, d4, d5, d6, d7, d8)
+  //                  -> (d5, d6, d7, d8, d4)>
+  // #map2 = affine_map<(d0, d1, d2, d3, d4, d5, d6, d7, d8)
+  //                  -> (d0, d1, d2, d3, d8, d4)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/1, /*fDim=*/0,
+                                  /*oDim=*/1, tempDilations[0],
+                                  tempStrides[0]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/2, /*fDim=*/1,
+                                  /*oDim=*/2, tempDilations[1],
+                                  tempStrides[1]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/3, /*fDim=*/2,
+                                  /*oDim=*/3, tempDilations[2],
+                                  tempStrides[2]) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 4, fIndex, 3) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 4, oIndex, 4) &&
+       matchConvDimExprPattern(indexingMaps, fIndex, 4, oIndex, 5));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+static bool isaPoolingNhwcMaxOp(LinalgOp op, SmallVector<int64_t> *dilations,
+                                SmallVector<int64_t> *strides) {
+  if (isa<linalg::PoolingNhwcMaxOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {4, 2, 4}))
+    return false;
+
+  Block *body = op.getBlock();
+  auto yieldOp = cast<linalg::YieldOp>(body->getTerminator());
+  Value yieldVal = yieldOp.getOperand(0);
+  unsigned iIndex = 0, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(2, 1);
+  SmallVector<int64_t> tempStrides(2, 1);
+  // #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1 + d4, d2 + d5, d3)>
+  // #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d4, d5)>
+  // #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/1, /*fDim=*/0,
+                                  /*oDim=*/1, tempDilations[0],
+                                  tempStrides[0]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/2, /*fDim=*/1,
+                                  /*oDim=*/2, tempDilations[1],
+                                  tempStrides[1]) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 3, oIndex, 3) &&
+       bodyMatcherForMaxSignedPoolOps(yieldVal, body));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+static bool isaPoolingNhwcMinOp(LinalgOp op, SmallVector<int64_t> *dilations,
+                                SmallVector<int64_t> *strides) {
+  if (isa<linalg::PoolingNhwcMinOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {4, 2, 4}))
+    return false;
+
+  Block *body = op.getBlock();
+  auto yieldOp = cast<linalg::YieldOp>(body->getTerminator());
+  Value yieldVal = yieldOp.getOperand(0);
+  unsigned iIndex = 0, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(2, 1);
+  SmallVector<int64_t> tempStrides(2, 1);
+  // #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1 + d4, d2 + d5, d3)>
+  // #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d4, d5)>
+  // #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/1, /*fDim=*/0,
+                                  /*oDim=*/1, tempDilations[0],
+                                  tempStrides[0]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/2, /*fDim=*/1,
+                                  /*oDim=*/2, tempDilations[1],
+                                  tempStrides[1]) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 3, oIndex, 3) &&
+       bodyMatcherForMinSignedPoolOps(yieldVal, body));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+static bool isaPoolingNhwcSumOp(LinalgOp op, SmallVector<int64_t> *dilations,
+                                SmallVector<int64_t> *strides) {
+  if (isa<linalg::PoolingNhwcSumOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {4, 2, 4}))
+    return false;
+
+  Block *body = op.getBlock();
+  auto yieldOp = cast<linalg::YieldOp>(body->getTerminator());
+  Value yieldVal = yieldOp.getOperand(0);
+  unsigned iIndex = 0, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(2, 1);
+  SmallVector<int64_t> tempStrides(2, 1);
+  // #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1 + d4, d2 + d5, d3)>
+  // #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d4, d5)>
+  // #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/1, /*fDim=*/0,
+                                  /*oDim=*/1, tempDilations[0],
+                                  tempStrides[0]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/2, /*fDim=*/1,
+                                  /*oDim=*/2, tempDilations[1],
+                                  tempStrides[1]) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 3, oIndex, 3) &&
+       bodyMatcherForSumPoolOps(yieldVal, body));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+static bool isaPoolingNhwcMaxUnsignedOp(LinalgOp op,
+                                        SmallVector<int64_t> *dilations,
+                                        SmallVector<int64_t> *strides) {
+  if (isa<linalg::PoolingNhwcMaxUnsignedOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {4, 2, 4}))
+    return false;
+
+  Block *body = op.getBlock();
+  auto yieldOp = cast<linalg::YieldOp>(body->getTerminator());
+  Value yieldVal = yieldOp.getOperand(0);
+  unsigned iIndex = 0, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(2, 1);
+  SmallVector<int64_t> tempStrides(2, 1);
+  // #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1 + d4, d2 + d5, d3)>
+  // #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d4, d5)>
+  // #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/1, /*fDim=*/0,
+                                  /*oDim=*/1, tempDilations[0],
+                                  tempStrides[0]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/2, /*fDim=*/1,
+                                  /*oDim=*/2, tempDilations[1],
+                                  tempStrides[1]) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 3, oIndex, 3) &&
+       bodyMatcherForMaxUnsignedPoolOps(yieldVal, body));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+static bool isaPoolingNhwcMinUnsignedOp(LinalgOp op,
+                                        SmallVector<int64_t> *dilations,
+                                        SmallVector<int64_t> *strides) {
+  if (isa<linalg::PoolingNhwcMinUnsignedOp>(op))
+    return true;
+
+  if (!isaConvolutionOpInterface(op))
+    return false;
+
+  ArrayAttr indexingMaps = op.getIndexingMaps();
+  if (!verifyConvIndexingMapSizes(indexingMaps, {4, 2, 4}))
+    return false;
+
+  Block *body = op.getBlock();
+  auto yieldOp = cast<linalg::YieldOp>(body->getTerminator());
+  Value yieldVal = yieldOp.getOperand(0);
+  unsigned iIndex = 0, oIndex = 2;
+
+  SmallVector<int64_t> tempDilations(2, 1);
+  SmallVector<int64_t> tempStrides(2, 1);
+  // #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1 + d4, d2 + d5, d3)>
+  // #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d4, d5)>
+  // #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)>
+  bool returnVal =
+      (matchConvDimExprPattern(indexingMaps, iIndex, 0, oIndex, 0) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/1, /*fDim=*/0,
+                                  /*oDim=*/1, tempDilations[0],
+                                  tempStrides[0]) &&
+       matchConvDimAddExprPattern(indexingMaps, /*iDim=*/2, /*fDim=*/1,
+                                  /*oDim=*/2, tempDilations[1],
+                                  tempStrides[1]) &&
+       matchConvDimExprPattern(indexingMaps, iIndex, 3, oIndex, 3) &&
+       bodyMatcherForMinUnsignedPoolOps(yieldVal, body));
+  return returnVal && updateConvDilationsAndStrides(dilations, strides,
+                                                    tempDilations, tempStrides);
+}
+
+template <typename ConvOpTy>
+bool isaConvolutionOpOfType(LinalgOp op, SmallVector<int64_t> *dilations,
+                            SmallVector<int64_t> *strides) {
+  if constexpr (std::is_same_v<ConvOpTy, linalg::DepthwiseConv1DNwcWcOp>) {
+    return isaDepthwiseConv1DNwcWcOp(op, dilations, strides);
+  } else if constexpr (std::is_same_v<ConvOpTy,
+                                      linalg::DepthwiseConv2DNchwChwOp>) {
----------------
banach-space wrote:

Sorry, it didn't work for you because this is doing a compile-time "switch", and `TypeSwitch` is for run-time switching, my bad :( Thanks for checking!

One other way to reduce code here would be to write specialisation inline:
```cpp
template bool isaConvolutionOpOfType<linalg::DepthwiseConv1DNwcWcOp>(
    LinalgOp op, SmallVector<int64_t> *dilations,
    SmallVector<int64_t> *strides) {
    return isaDepthwiseConv1DNwcWcOp(op, dilations, strides);
 }
```

In general, I find nested `if else` hard to parse. But this is a relatively minor thing.

https://github.com/llvm/llvm-project/pull/163724


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