[mlir] Construct SmallVector with ArrayRef (NFC)

mlir/include/mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h

@@ -56,7 +56,7 @@ struct UnrollVectorOptions {
 
   /// Set the native shape to use for unrolling.
   UnrollVectorOptions &setNativeShape(ArrayRef<int64_t> shape) {
-    SmallVector<int64_t> tsShape(shape.begin(), shape.end());
+    SmallVector<int64_t> tsShape(shape);
     nativeShape = [=](Operation *) -> std::optional<SmallVector<int64_t>> {
       return tsShape;
     };

mlir/include/mlir/IR/DialectRegistry.h

@@ -60,7 +60,7 @@ class DialectExtensionBase {
   /// If the list is empty, the extension is invoked for every loaded dialect
   /// independently.
   DialectExtensionBase(ArrayRef<StringRef> dialectNames)
-      : dialectNames(dialectNames.begin(), dialectNames.end()) {}
+      : dialectNames(dialectNames) {}
 
 private:
   /// The names of the dialects affected by this extension.

mlir/include/mlir/TableGen/Class.h

@@ -129,8 +129,7 @@ class MethodSignature {
                   ArrayRef<MethodParameter> parameters)
       : MethodSignature(std::forward<RetTypeT>(retType),
                         std::forward<NameT>(name),
-                        SmallVector<MethodParameter>(parameters.begin(),
-                                                     parameters.end())) {}
+                        SmallVector<MethodParameter>(parameters)) {}
   /// Create a method signature with a return type, a method name, and a
   /// variadic list of parameters.
   template <typename RetTypeT, typename NameT, typename... Parameters>

mlir/lib/Analysis/Presburger/IntegerRelation.cpp

@@ -1515,7 +1515,7 @@ void IntegerRelation::addLocalFloorDiv(ArrayRef<DynamicAPInt> dividend,
 
   appendVar(VarKind::Local);
 
-  SmallVector<DynamicAPInt, 8> dividendCopy(dividend.begin(), dividend.end());
+  SmallVector<DynamicAPInt, 8> dividendCopy(dividend);
   dividendCopy.insert(dividendCopy.end() - 1, DynamicAPInt(0));
   addInequality(
       getDivLowerBound(dividendCopy, divisor, dividendCopy.size() - 2));

mlir/lib/Analysis/Presburger/Simplex.cpp

@@ -1306,7 +1306,7 @@ void SimplexBase::addDivisionVariable(ArrayRef<DynamicAPInt> coeffs,
   assert(denom > 0 && "Denominator must be positive!");
   appendVariable();
 
-  SmallVector<DynamicAPInt, 8> ineq(coeffs.begin(), coeffs.end());
+  SmallVector<DynamicAPInt, 8> ineq(coeffs);
   DynamicAPInt constTerm = ineq.back();
   ineq.back() = -denom;
   ineq.emplace_back(constTerm);
@@ -1754,7 +1754,7 @@ class presburger::GBRSimplex {
   getCoeffsForDirection(ArrayRef<DynamicAPInt> dir) {
     assert(2 * dir.size() == simplex.getNumVariables() &&
            "Direction vector has wrong dimensionality");
-    SmallVector<DynamicAPInt, 8> coeffs(dir.begin(), dir.end());
+    SmallVector<DynamicAPInt, 8> coeffs(dir);
     coeffs.reserve(dir.size() + 1);
     for (const DynamicAPInt &coeff : dir)
       coeffs.emplace_back(-coeff);

mlir/lib/Analysis/Presburger/Utils.cpp

@@ -319,7 +319,7 @@ presburger::getDivUpperBound(ArrayRef<DynamicAPInt> dividend,
   assert(divisor > 0 && "divisor must be positive!");
   assert(dividend[localVarIdx] == 0 &&
          "Local to be set to division must have zero coeff!");
-  SmallVector<DynamicAPInt, 8> ineq(dividend.begin(), dividend.end());
+  SmallVector<DynamicAPInt, 8> ineq(dividend);
   ineq[localVarIdx] = -divisor;
   return ineq;
 }

mlir/lib/Conversion/VectorToGPU/VectorToGPU.cpp

@@ -63,7 +63,7 @@ static void getXferIndices(RewriterBase &rewriter, TransferOpType xferOp,
   for (auto expr : xferOp.getPermutationMap().getResults()) {
     if (auto dim = dyn_cast<AffineDimExpr>(expr)) {
       Value prevIdx = indices[dim.getPosition()];
-      SmallVector<OpFoldResult, 3> dims(dimValues.begin(), dimValues.end());
+      SmallVector<OpFoldResult, 3> dims(dimValues);
       dims.push_back(prevIdx);
       AffineExpr d0 = rewriter.getAffineDimExpr(offsetMap.getNumDims());
       indices[dim.getPosition()] = affine::makeComposedAffineApply(

mlir/lib/Dialect/Affine/IR/AffineOps.cpp

@@ -4146,11 +4146,9 @@ static ParseResult parseAffineMapWithMinMax(OpAsmParser &parser,
       llvm::append_range(flatExprs, map.getValue().getResults());
       auto operandsRef = llvm::ArrayRef(mapOperands);
       auto dimsRef = operandsRef.take_front(map.getValue().getNumDims());
-      SmallVector<OpAsmParser::UnresolvedOperand> dims(dimsRef.begin(),
-                                                       dimsRef.end());
+      SmallVector<OpAsmParser::UnresolvedOperand> dims(dimsRef);
       auto symsRef = operandsRef.drop_front(map.getValue().getNumDims());
-      SmallVector<OpAsmParser::UnresolvedOperand> syms(symsRef.begin(),
-                                                       symsRef.end());
+      SmallVector<OpAsmParser::UnresolvedOperand> syms(symsRef);
       flatDimOperands.append(map.getValue().getNumResults(), dims);
       flatSymOperands.append(map.getValue().getNumResults(), syms);
       numMapsPerGroup.push_back(map.getValue().getNumResults());

mlir/lib/Dialect/Affine/Utils/LoopUtils.cpp

@@ -1384,7 +1384,7 @@ unsigned mlir::affine::permuteLoops(MutableArrayRef<AffineForOp> input,
   assert(input.size() == permMap.size() && "invalid permutation map size");
   // Check whether the permutation spec is valid. This is a small vector - we'll
   // just sort and check if it's iota.
-  SmallVector<unsigned, 4> checkPermMap(permMap.begin(), permMap.end());
+  SmallVector<unsigned, 4> checkPermMap(permMap);
   llvm::sort(checkPermMap);
   if (llvm::any_of(llvm::enumerate(checkPermMap),
                    [](const auto &en) { return en.value() != en.index(); }))
@@ -1583,7 +1583,7 @@ SmallVector<SmallVector<AffineForOp, 8>, 8>
 mlir::affine::tile(ArrayRef<AffineForOp> forOps, ArrayRef<uint64_t> sizes,
                    ArrayRef<AffineForOp> targets) {
   SmallVector<SmallVector<AffineForOp, 8>, 8> res;
-  SmallVector<AffineForOp, 8> currentTargets(targets.begin(), targets.end());
+  SmallVector<AffineForOp, 8> currentTargets(targets);
   for (auto it : llvm::zip(forOps, sizes)) {
     auto step = stripmineSink(std::get<0>(it), std::get<1>(it), currentTargets);
     res.push_back(step);

mlir/lib/Dialect/Arith/Transforms/IntNarrowing.cpp

@@ -44,8 +44,7 @@ struct NarrowingPattern : OpRewritePattern<SourceOp> {
   NarrowingPattern(MLIRContext *ctx, const ArithIntNarrowingOptions &options,
                    PatternBenefit benefit = 1)
       : OpRewritePattern<SourceOp>(ctx, benefit),
-        supportedBitwidths(options.bitwidthsSupported.begin(),
-                           options.bitwidthsSupported.end()) {
+        supportedBitwidths(options.bitwidthsSupported) {
     assert(!supportedBitwidths.empty() && "Invalid options");
     assert(!llvm::is_contained(supportedBitwidths, 0) && "Invalid bitwidth");
     llvm::sort(supportedBitwidths);

mlir/lib/Dialect/GPU/TransformOps/Utils.cpp

@@ -148,8 +148,7 @@ static GpuIdBuilderFnType common3DIdBuilderFn(int64_t multiplicity = 1) {
                        rewriter, loc, d0.floorDiv(multiplicity), {scaledIds[0]})
                        .get<Value>();
     // In the 3-D mapping case, unscale the first dimension by the multiplicity.
-    SmallVector<int64_t> forallMappingSizeInOriginalBasis(
-        forallMappingSizes.begin(), forallMappingSizes.end());
+    SmallVector<int64_t> forallMappingSizeInOriginalBasis(forallMappingSizes);
     forallMappingSizeInOriginalBasis[0] *= multiplicity;
     return IdBuilderResult{
         /*mappingIdOps=*/scaledIds,

mlir/lib/Dialect/GPU/Transforms/NVVMAttachTarget.cpp

@@ -61,7 +61,7 @@ DictionaryAttr NVVMAttachTarget::getFlags(OpBuilder &builder) const {
 void NVVMAttachTarget::runOnOperation() {
   OpBuilder builder(&getContext());
   ArrayRef<std::string> libs(linkLibs);
-  SmallVector<StringRef> filesToLink(libs.begin(), libs.end());
+  SmallVector<StringRef> filesToLink(libs);
   auto target = builder.getAttr<NVVMTargetAttr>(
       optLevel, triple, chip, features, getFlags(builder),
       filesToLink.empty() ? nullptr : builder.getStrArrayAttr(filesToLink));

mlir/lib/Dialect/GPU/Transforms/ROCDLAttachTarget.cpp

@@ -69,7 +69,7 @@ DictionaryAttr ROCDLAttachTarget::getFlags(OpBuilder &builder) const {
 void ROCDLAttachTarget::runOnOperation() {
   OpBuilder builder(&getContext());
   ArrayRef<std::string> libs(linkLibs);
-  SmallVector<StringRef> filesToLink(libs.begin(), libs.end());
+  SmallVector<StringRef> filesToLink(libs);
   auto target = builder.getAttr<ROCDLTargetAttr>(
       optLevel, triple, chip, features, abiVersion, getFlags(builder),
       filesToLink.empty() ? nullptr : builder.getStrArrayAttr(filesToLink));

mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp

@@ -1117,10 +1117,8 @@ transform::InterchangeOp::applyToOne(transform::TransformRewriter &rewriter,
            << ") different from the number of loops in the target operation ("
            << numLoops << ")";
   }
-  FailureOr<GenericOp> res =
-      interchangeGenericOp(rewriter, target,
-                           SmallVector<unsigned>(interchangeVector.begin(),
-                                                 interchangeVector.end()));
+  FailureOr<GenericOp> res = interchangeGenericOp(
+      rewriter, target, SmallVector<unsigned>(interchangeVector));
   if (failed(res))
     return emitDefiniteFailure() << "failed to apply";
   results.push_back(res->getOperation());

mlir/lib/Dialect/Linalg/Transforms/Interchange.cpp

@@ -79,8 +79,7 @@ mlir::linalg::interchangeGenericOp(RewriterBase &rewriter, GenericOp genericOp,
   ArrayRef<Attribute> itTypes = genericOp.getIteratorTypes().getValue();
   SmallVector<Attribute> itTypesVector;
   llvm::append_range(itTypesVector, itTypes);
-  SmallVector<int64_t> permutation(interchangeVector.begin(),
-                                   interchangeVector.end());
+  SmallVector<int64_t> permutation(interchangeVector);
   applyPermutationToVector(itTypesVector, permutation);
   genericOp.setIteratorTypesAttr(rewriter.getArrayAttr(itTypesVector));
 

mlir/lib/Dialect/Linalg/Transforms/Loops.cpp

@@ -48,7 +48,7 @@ static SmallVector<Value> makeCanonicalAffineApplies(OpBuilder &b, Location loc,
   auto dims = map.getNumDims();
   for (auto e : map.getResults()) {
     auto exprMap = AffineMap::get(dims, map.getNumSymbols(), e);
-    SmallVector<Value> operands(vals.begin(), vals.end());
+    SmallVector<Value> operands(vals);
     affine::canonicalizeMapAndOperands(&exprMap, &operands);
     res.push_back(b.create<affine::AffineApplyOp>(loc, exprMap, operands));
   }
@@ -133,7 +133,7 @@ static void emitScalarImplementation(OpBuilder &b, Location loc,
   SmallVector<Value> indexedValues;
   indexedValues.reserve(linalgOp->getNumOperands());
 
-  auto allIvsPlusDims = SmallVector<Value>(allIvs.begin(), allIvs.end());
+  auto allIvsPlusDims = SmallVector<Value>(allIvs);
 
   // TODO: Avoid the loads if the corresponding argument of the
   // region has no uses.

mlir/lib/Dialect/Linalg/Transforms/Tiling.cpp

@@ -53,7 +53,7 @@ mlir::linalg::makeTiledLoopRanges(RewriterBase &b, Location loc, AffineMap map,
   // Apply `map` to get shape sizes in loop order.
   SmallVector<OpFoldResult> shapeSizes =
       makeComposedFoldedMultiResultAffineApply(b, loc, map, allShapeSizes);
-  SmallVector<OpFoldResult> tileSizes(allTileSizes.begin(), allTileSizes.end());
+  SmallVector<OpFoldResult> tileSizes(allTileSizes);
 
   // Traverse the tile sizes, which are in loop order, erase zeros everywhere.
   LoopIndexToRangeIndexMap loopIndexToRangeIndex;

mlir/lib/Dialect/Linalg/Transforms/TilingInterfaceImpl.cpp

@@ -460,8 +460,7 @@ struct LinalgOpPartialReductionInterface
                                          Location loc, ValueRange partialReduce,
                                          ArrayRef<int> reductionDims) const {
     auto linalgOp = cast<LinalgOp>(op);
-    SmallVector<int64_t> reductionDimsInt64(reductionDims.begin(),
-                                            reductionDims.end());
+    SmallVector<int64_t> reductionDimsInt64(reductionDims);
     auto reduction = b.create<linalg::ReduceOp>(
         loc, partialReduce, linalgOp.getDpsInits(), reductionDimsInt64,
         [&linalgOp](OpBuilder &b, Location loc, ValueRange inputs) {

mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp

@@ -904,7 +904,7 @@ linalg::packMatmulGreedily(RewriterBase &rewriter, LinalgOp linalgOp,
 LinalgTilingOptions &
 mlir::linalg::LinalgTilingOptions::setTileSizes(ArrayRef<int64_t> ts) {
   assert(!tileSizeComputationFunction && "tile sizes already set");
-  SmallVector<int64_t, 4> tileSizes(ts.begin(), ts.end());
+  SmallVector<int64_t, 4> tileSizes(ts);
   tileSizeComputationFunction = [tileSizes](OpBuilder &b, Operation *op) {
     OpBuilder::InsertionGuard guard(b);
     b.setInsertionPointToStart(

mlir/lib/Dialect/Linalg/Utils/Utils.cpp

@@ -264,8 +264,7 @@ GenericOp makeTransposeOp(OpBuilder &b, Location loc, Value inputTensor,
   // Compute the transpose and the indentity indexing maps.
   SmallVector<AffineMap> indexingMaps = {
       inversePermutation(AffineMap::getPermutationMap(
-          SmallVector<unsigned>(transposeVector.begin(), transposeVector.end()),
-          b.getContext())),
+          SmallVector<unsigned>(transposeVector), b.getContext())),
       AffineMap::getMultiDimIdentityMap(transposeVector.size(),
                                         b.getContext())};
   SmallVector<utils::IteratorType> iteratorTypes(transposeVector.size(),

mlir/lib/Dialect/Math/Transforms/PolynomialApproximation.cpp

@@ -122,7 +122,7 @@ handleMultidimensionalVectors(ImplicitLocOpBuilder &builder,
 
   // Maybe expand operands to the higher rank vector shape that we'll use to
   // iterate over and extract one dimensional vectors.
-  SmallVector<int64_t> expandedShape(inputShape.begin(), inputShape.end());
+  SmallVector<int64_t> expandedShape(inputShape);
   SmallVector<Value> expandedOperands(operands);
 
   if (expansionDim > 1) {

mlir/lib/Dialect/MemRef/IR/MemRefOps.cpp

@@ -154,7 +154,7 @@ static void constifyIndexValues(
 /// expected for `getAttributes` in `constifyIndexValues`.
 static SmallVector<int64_t> getConstantSizes(MemRefType memRefTy) {
   ArrayRef<int64_t> sizes = memRefTy.getShape();
-  return SmallVector<int64_t>(sizes.begin(), sizes.end());
+  return SmallVector<int64_t>(sizes);
 }
 
 /// Wrapper around `getStridesAndOffset` that returns only the offset and

mlir/lib/Dialect/NVGPU/TransformOps/NVGPUTransformOps.cpp

@@ -740,9 +740,9 @@ static std::tuple<SmallVector<int64_t>, SmallVector<int64_t>,
                   SmallVector<int64_t>>
 makeVectorShapes(ArrayRef<int64_t> lhs, ArrayRef<int64_t> rhs,
                  ArrayRef<int64_t> res) {
-  SmallVector<int64_t> vlhs{lhs.begin(), lhs.end()};
-  SmallVector<int64_t> vrhs{rhs.begin(), rhs.end()};
-  SmallVector<int64_t> vres{res.begin(), res.end()};
+  SmallVector<int64_t> vlhs{lhs};
+  SmallVector<int64_t> vrhs{rhs};
+  SmallVector<int64_t> vres{res};
   return std::make_tuple(vlhs, vrhs, vres);
 }
 
@@ -758,7 +758,7 @@ MmaSyncBuilder::getIndexCalculators(ArrayRef<int64_t> opShape,
                                        &MmaSyncBuilder::m16n8k4tf32Rhs,
                                        &MmaSyncBuilder::m16n8k4tf32Res),
                        makeVectorShapes({2, 1}, {1, 1}, {2, 2}),
-                       SmallVector<int64_t>{opShape.begin(), opShape.end()},
+                       SmallVector<int64_t>{opShape},
                        /*tf32Enabled=*/true};
   }
   // This is the version with f16 accumulation.
@@ -769,7 +769,7 @@ MmaSyncBuilder::getIndexCalculators(ArrayRef<int64_t> opShape,
                                        &MmaSyncBuilder::m16n8k16f16Rhs,
                                        &MmaSyncBuilder::m16n8k16f16Res),
                        makeVectorShapes({4, 2}, {2, 2}, {2, 2}),
-                       SmallVector<int64_t>{opShape.begin(), opShape.end()},
+                       SmallVector<int64_t>{opShape},
                        /*tf32Enabled=*/false};
   }
   return failure();

mlir/lib/Dialect/SCF/Utils/Utils.cpp

@@ -1184,7 +1184,7 @@ SmallVector<Loops, 8> mlir::tile(ArrayRef<scf::ForOp> forOps,
                                  ArrayRef<Value> sizes,
                                  ArrayRef<scf::ForOp> targets) {
   SmallVector<SmallVector<scf::ForOp, 8>, 8> res;
-  SmallVector<scf::ForOp, 8> currentTargets(targets.begin(), targets.end());
+  SmallVector<scf::ForOp, 8> currentTargets(targets);
   for (auto it : llvm::zip(forOps, sizes)) {
     auto step = stripmineSink(std::get<0>(it), std::get<1>(it), currentTargets);
     res.push_back(step);

mlir/lib/Dialect/SPIRV/IR/SPIRVTypes.cpp

@@ -1039,7 +1039,7 @@ StructType::get(ArrayRef<Type> memberTypes,
   assert(!memberTypes.empty() && "Struct needs at least one member type");
   // Sort the decorations.
   SmallVector<StructType::MemberDecorationInfo, 4> sortedDecorations(
-      memberDecorations.begin(), memberDecorations.end());
+      memberDecorations);
   llvm::array_pod_sort(sortedDecorations.begin(), sortedDecorations.end());
   return Base::get(memberTypes.vec().front().getContext(),
                    /*identifier=*/StringRef(), memberTypes, offsetInfo,

mlir/lib/Dialect/SparseTensor/Transforms/SparseBufferRewriting.cpp

@@ -132,8 +132,7 @@ static void forEachIJPairInAllBuffers(
     function_ref<void(uint64_t, Value, Value, Value)> bodyBuilder) {
 
   // Create code for the first (xPerm + ny) buffers.
-  SmallVector<AffineExpr> exps(xPerm.getResults().begin(),
-                               xPerm.getResults().end());
+  SmallVector<AffineExpr> exps(xPerm.getResults());
   for (unsigned y = 0; y < ny; y++) {
     exps.push_back(builder.getAffineDimExpr(y + xPerm.getNumResults()));
   }

mlir/lib/Dialect/SparseTensor/Transforms/SparseVectorization.cpp

@@ -112,7 +112,7 @@ static Value genVectorLoad(PatternRewriter &rewriter, Location loc, VL vl,
   VectorType vtp = vectorType(vl, mem);
   Value pass = constantZero(rewriter, loc, vtp);
   if (llvm::isa<VectorType>(idxs.back().getType())) {
-    SmallVector<Value> scalarArgs(idxs.begin(), idxs.end());
+    SmallVector<Value> scalarArgs(idxs);
     Value indexVec = idxs.back();
     scalarArgs.back() = constantIndex(rewriter, loc, 0);
     return rewriter.create<vector::GatherOp>(loc, vtp, mem, scalarArgs,
@@ -129,7 +129,7 @@ static Value genVectorLoad(PatternRewriter &rewriter, Location loc, VL vl,
 static void genVectorStore(PatternRewriter &rewriter, Location loc, Value mem,
                            ArrayRef<Value> idxs, Value vmask, Value rhs) {
   if (llvm::isa<VectorType>(idxs.back().getType())) {
-    SmallVector<Value> scalarArgs(idxs.begin(), idxs.end());
+    SmallVector<Value> scalarArgs(idxs);
     Value indexVec = idxs.back();
     scalarArgs.back() = constantIndex(rewriter, loc, 0);
     rewriter.create<vector::ScatterOp>(loc, mem, scalarArgs, indexVec, vmask,

mlir/lib/Dialect/Tensor/IR/TensorOps.cpp

@@ -178,8 +178,7 @@ static llvm::SmallBitVector getDroppedDims(ArrayRef<int64_t> reducedShape,
 static RankedTensorType
 foldDynamicToStaticDimSizes(RankedTensorType type, ValueRange dynamicSizes,
                             SmallVector<Value> &foldedDynamicSizes) {
-  SmallVector<int64_t> staticShape(type.getShape().begin(),
-                                   type.getShape().end());
+  SmallVector<int64_t> staticShape(type.getShape());
   assert(type.getNumDynamicDims() ==
              static_cast<int64_t>(dynamicSizes.size()) &&
          "incorrect number of dynamic sizes");
@@ -2810,8 +2809,7 @@ struct InsertSliceOpSourceCastInserter final
     RankedTensorType srcType = insertSliceOp.getSourceType();
     if (srcType.getRank() != insertSliceOp.getDestType().getRank())
       return failure();
-    SmallVector<int64_t> newSrcShape(srcType.getShape().begin(),
-                                     srcType.getShape().end());
+    SmallVector<int64_t> newSrcShape(srcType.getShape());
     for (int64_t i = 0; i < srcType.getRank(); ++i) {
       if (std::optional<int64_t> constInt =
               getConstantIntValue(insertSliceOp.getMixedSizes()[i])) {

mlir/lib/Dialect/Tensor/IR/TensorTilingInterfaceImpl.cpp

@@ -126,8 +126,8 @@ struct PackOpTiling
     // The tiling is applied on interchanged dimensions. We have to undo the
     // interchange to map sizes and offsets to the original input.
     int64_t inputRank = packOp.getSourceRank();
-    SmallVector<OpFoldResult> origOffsets(offsets.begin(), offsets.end());
-    SmallVector<OpFoldResult> origSizes(sizes.begin(), sizes.end());
+    SmallVector<OpFoldResult> origOffsets(offsets);
+    SmallVector<OpFoldResult> origSizes(sizes);
     applyPermToRange(origOffsets, origSizes,
                      invertPermutationVector(packOp.getOuterDimsPerm()));
 
@@ -486,9 +486,8 @@ struct UnPackOpTiling
     // The tiling is applied on interchanged dimensions. We have to undo the
     // interchange to map sizes and offsets to the original input.
     int64_t outputRank = unPackOp.getDestRank();
-    SmallVector<OpFoldResult> origOffsets(destOffsets.begin(),
-                                          destOffsets.end());
-    SmallVector<OpFoldResult> origSizes(destSizes.begin(), destSizes.end());
+    SmallVector<OpFoldResult> origOffsets(destOffsets);
+    SmallVector<OpFoldResult> origSizes(destSizes);
     applyPermToRange(origOffsets, origSizes,
                      invertPermutationVector(unPackOp.getOuterDimsPerm()));