[mlir] Remove unused local variables (NFC) (llvm#138481)

kazutakahirata · web-flow · commit 15f7c6ed70c8 · 2025-05-05T10:08:00.000-07:00
diff --git a/mlir/lib/Dialect/AMDGPU/Transforms/TransferReadToLoad.cpp b/mlir/lib/Dialect/AMDGPU/Transforms/TransferReadToLoad.cpp
@@ -175,7 +175,6 @@ struct TransferReadLowering final : OpRewritePattern<vector::TransferReadOp> {
     // It computes the multiplied sizes of all dimensions instead of taking
     // the maximum of each dimension size * stride.
     SmallVector<AffineExpr> productExpressions;
-    SmallVector<Value> productResults;
     unsigned sourceRank = cast<ShapedType>(src.getType()).getRank();
 
     SmallVector<AffineExpr> symbols(2 * sourceRank);
diff --git a/mlir/lib/Dialect/Affine/Analysis/Utils.cpp b/mlir/lib/Dialect/Affine/Analysis/Utils.cpp
@@ -1356,12 +1356,6 @@ std::optional<int64_t> MemRefRegion::getRegionSize() {
     return false;
   }
 
-  // Indices to use for the DmaStart op.
-  // Indices for the original memref being DMAed from/to.
-  SmallVector<Value, 4> memIndices;
-  // Indices for the faster buffer being DMAed into/from.
-  SmallVector<Value, 4> bufIndices;
-
   // Compute the extents of the buffer.
   std::optional<int64_t> numElements = getConstantBoundingSizeAndShape();
   if (!numElements) {
diff --git a/mlir/lib/Dialect/Affine/TransformOps/AffineTransformOps.cpp b/mlir/lib/Dialect/Affine/TransformOps/AffineTransformOps.cpp
@@ -118,7 +118,6 @@ SimplifyBoundedAffineOpsOp::apply(transform::TransformRewriter &rewriter,
     }
     targets.push_back(target);
   }
-  SmallVector<Operation *> transformed;
   RewritePatternSet patterns(getContext());
   // Canonicalization patterns are needed so that affine.apply ops are composed
   // with the remaining affine.min/max ops.
diff --git a/mlir/lib/Dialect/Affine/Utils/Utils.cpp b/mlir/lib/Dialect/Affine/Utils/Utils.cpp
@@ -1808,7 +1808,6 @@ mlir::affine::normalizeMemRef(memref::ReinterpretCastOp reinterpretCastOp) {
   ArrayRef<int64_t> oldShape = memrefType.getShape();
   ValueRange oldSizes = reinterpretCastOp.getSizes();
   unsigned idx = 0;
-  SmallVector<int64_t> newStaticSizes;
   OpBuilder b(reinterpretCastOp);
   // Collect the map operands which will be used to compute the new normalized
   // memref shape.
diff --git a/mlir/lib/Dialect/Affine/Utils/ViewLikeInterfaceUtils.cpp b/mlir/lib/Dialect/Affine/Utils/ViewLikeInterfaceUtils.cpp
@@ -41,7 +41,6 @@ LogicalResult mlir::affine::mergeOffsetsSizesAndStrides(
       combinedStrides[i] = producerStrides[i];
       continue;
     }
-    SmallVector<OpFoldResult> offsetSymbols, strideSymbols;
     // The combined offset is computed as
     //    producer_offset + consumer_offset * producer_strides.
     combinedOffsets[i] = makeComposedFoldedAffineApply(
diff --git a/mlir/lib/Dialect/EmitC/IR/EmitC.cpp b/mlir/lib/Dialect/EmitC/IR/EmitC.cpp
@@ -465,7 +465,6 @@ ParseResult ForOp::parse(OpAsmParser &parser, OperationState &result) {
 
   // Parse the optional initial iteration arguments.
   SmallVector<OpAsmParser::Argument, 4> regionArgs;
-  SmallVector<OpAsmParser::UnresolvedOperand, 4> operands;
   regionArgs.push_back(inductionVariable);
 
   // Parse optional type, else assume Index.
diff --git a/mlir/lib/Dialect/GPU/IR/GPUDialect.cpp b/mlir/lib/Dialect/GPU/IR/GPUDialect.cpp
@@ -936,9 +936,6 @@ ParseResult LaunchOp::parse(OpAsmParser &parser, OperationState &result) {
   SmallVector<OpAsmParser::UnresolvedOperand, LaunchOp::kNumConfigOperands>
       sizes(LaunchOp::kNumConfigOperands);
 
-  // Actual (data) operands passed to the kernel.
-  SmallVector<OpAsmParser::UnresolvedOperand, 4> dataOperands;
-
   // Region arguments to be created.
   SmallVector<OpAsmParser::UnresolvedOperand, 16> regionArgs(
       LaunchOp::kNumConfigRegionAttributes);
diff --git a/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp b/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
@@ -1416,7 +1416,6 @@ static void addBodyWithPayloadOp(OpAsmParser &parser, OperationState &result,
   Region *body = result.addRegion();
   Block &block = body->emplaceBlock();
   b.setInsertionPointToStart(&block);
-  SmallVector<Value> bbArgs;
   for (auto &operand : operands) {
     block.addArgument(
         llvm::cast<ShapedType>(operand.getType()).getElementType(),
diff --git a/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp b/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp
@@ -2288,7 +2288,6 @@ transform::ScalarizeOp::applyToOne(transform::TransformRewriter &rewriter,
     }
     return tileSizes;
   });
-  SmallVector<int64_t> emptyTileSizes;
   rewriter.setInsertionPoint(target);
   FailureOr<scf::SCFTilingResult> maybeTilingResult = tileUsingSCF(
       rewriter, cast<TilingInterface>(target.getOperation()), tilingOptions);
@@ -2347,7 +2346,6 @@ transform::RewriteInDestinationPassingStyleOp::applyToOne(
     transform::TransformRewriter &rewriter, Operation *target,
     transform::ApplyToEachResultList &results,
     transform::TransformState &state) {
-  SmallVector<Operation *> res;
   rewriter.setInsertionPoint(target);
   FailureOr<Operation *> maybeResult =
       TypeSwitch<Operation *, FailureOr<Operation *>>(target)
diff --git a/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp b/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
@@ -869,7 +869,7 @@ fuseWithReshapeByExpansion(LinalgOp linalgOp, Operation *reshapeOp,
          "preconditions for fuse operation failed");
 
   Location loc = linalgOp.getLoc();
-  SmallVector<OpFoldResult> expandedShape, collapsedShape;
+  SmallVector<OpFoldResult> expandedShape;
   SmallVector<AffineMap, 4> reassociationIndices;
   Value src;
   if (auto expandingReshapeOp = dyn_cast<tensor::ExpandShapeOp>(reshapeOp)) {
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Fusion.cpp b/mlir/lib/Dialect/Linalg/Transforms/Fusion.cpp
@@ -85,7 +85,6 @@ getShapeDefiningLoopRange(LinalgOp op, unsigned loopDepth,
                             << opOperand.getOperandNumber() << "\n");
     LLVM_DEBUG(llvm::dbgs()
                << "getShapeDefiningLoopRange map: " << map << "\n");
-    SmallVector<Value, 8> shapeRanges(map.getNumResults(), nullptr);
     for (const auto &en : llvm::enumerate(map.getResults())) {
       auto dimExpr = dyn_cast<AffineDimExpr>(en.value());
       if (!dimExpr)
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Promotion.cpp b/mlir/lib/Dialect/Linalg/Transforms/Promotion.cpp
@@ -270,7 +270,6 @@ FailureOr<PromotionInfo> mlir::linalg::promoteSubviewAsNewBuffer(
     partialSizes.push_back(
         b.createOrFold<memref::DimOp>(loc, subView, resultDimIdx++));
   }
-  SmallVector<int64_t, 4> dynSizes(fullSizes.size(), ShapedType::kDynamic);
   // If a callback is not specified, then use the default implementation for
   // allocating the promoted buffer.
   std::optional<Value> fullLocalView =
diff --git a/mlir/lib/Dialect/Linalg/Transforms/TilingInterfaceImpl.cpp b/mlir/lib/Dialect/Linalg/Transforms/TilingInterfaceImpl.cpp
@@ -1187,7 +1187,6 @@ struct UnPackOpTiling
         loc, unPackOp.getDest(), outputOffsets, outputSizes, strides);
     tiledOperands.push_back(extractDestSlice);
 
-    SmallVector<OpFoldResult> inputOffsets, inputSizes;
     strides.append(unPackOp.getSourceRank() - outputRank, oneAttr);
     // Create slice of the source operand.
     auto extractSourceSlice = b.create<tensor::ExtractSliceOp>(
diff --git a/mlir/lib/Dialect/MemRef/IR/MemRefOps.cpp b/mlir/lib/Dialect/MemRef/IR/MemRefOps.cpp
@@ -68,7 +68,6 @@ Type mlir::memref::getTensorTypeFromMemRefType(Type type) {
 OpFoldResult memref::getMixedSize(OpBuilder &builder, Location loc, Value value,
                                   int64_t dim) {
   auto memrefType = llvm::cast<MemRefType>(value.getType());
-  SmallVector<OpFoldResult> result;
   if (memrefType.isDynamicDim(dim))
     return builder.createOrFold<memref::DimOp>(loc, value, dim);
 
diff --git a/mlir/lib/Dialect/MemRef/Transforms/ExpandStridedMetadata.cpp b/mlir/lib/Dialect/MemRef/Transforms/ExpandStridedMetadata.cpp
@@ -505,7 +505,6 @@ getCollapsedStride(memref::CollapseShapeOp collapseShape, OpBuilder &builder,
 
   auto [strides, offset] = sourceType.getStridesAndOffset();
 
-  SmallVector<OpFoldResult> groupStrides;
   ArrayRef<int64_t> srcShape = sourceType.getShape();
 
   OpFoldResult lastValidStride = nullptr;
diff --git a/mlir/lib/Dialect/MemRef/Transforms/FoldMemRefAliasOps.cpp b/mlir/lib/Dialect/MemRef/Transforms/FoldMemRefAliasOps.cpp
@@ -168,7 +168,6 @@ resolveSourceIndicesCollapseShape(Location loc, PatternRewriter &rewriter,
                                   ValueRange indices,
                                   SmallVectorImpl<Value> &sourceIndices) {
   int64_t cnt = 0;
-  SmallVector<Value> tmp(indices.size());
   SmallVector<OpFoldResult> dynamicIndices;
   for (ArrayRef<int64_t> groups : collapseShapeOp.getReassociationIndices()) {
     assert(!groups.empty() && "association indices groups cannot be empty");
diff --git a/mlir/lib/Dialect/Mesh/Interfaces/ShardingInterface.cpp b/mlir/lib/Dialect/Mesh/Interfaces/ShardingInterface.cpp
@@ -409,7 +409,6 @@ MeshSharding getSharding(OpResult result, const ShardingOption &shardingOption,
 
   // process the split axes
   for (auto it : llvm::enumerate(map.getResults())) {
-    SmallVector<MeshAxis> tmp_axes;
     AffineExpr expr = it.value();
     // `expr` must be an `AffineDimExpr` because `map` is verified by
     // isProjectedPermutation
diff --git a/mlir/lib/Dialect/SCF/Transforms/BufferizableOpInterfaceImpl.cpp b/mlir/lib/Dialect/SCF/Transforms/BufferizableOpInterfaceImpl.cpp
@@ -392,7 +392,6 @@ struct IndexSwitchOpInterface
     int64_t resultNum = cast<OpResult>(value).getResultNumber();
 
     // Helper function to get buffer type of a case.
-    SmallVector<BaseMemRefType> yieldedTypes;
     auto getYieldedBufferType = [&](Block &b) -> FailureOr<BaseMemRefType> {
       auto yieldOp = cast<scf::YieldOp>(b.getTerminator());
       Value yieldedValue = yieldOp->getOperand(resultNum);
diff --git a/mlir/lib/Dialect/SCF/Transforms/TileUsingInterface.cpp b/mlir/lib/Dialect/SCF/Transforms/TileUsingInterface.cpp
@@ -483,8 +483,6 @@ static LogicalResult generateLoopNestUsingForallOp(
   assert(loopRanges.size() == tileSizes.size() &&
          "expected as many tile sizes as loop ranges");
   OpBuilder::InsertionGuard guard(rewriter);
-  SmallVector<OpFoldResult> offsets(loopRanges.size()),
-      sizes(loopRanges.size());
 
   std::optional<ArrayAttr> mappingAttr;
   if (!mappingVector.empty())
@@ -865,7 +863,6 @@ FailureOr<LoopLikeOpInterface> yieldTiledValuesAndReplaceLoop(
 static LogicalResult addInitOperandsToLoopNest(
     RewriterBase &rewriter, MutableArrayRef<LoopLikeOpInterface> loops,
     ValueRange newInitValues, YieldTiledValuesFn getNewTiledYieldsFn) {
-  SmallVector<scf::ForOp> newLoops;
   if (loops.empty())
     return success();
   OpBuilder::InsertionGuard g(rewriter);
@@ -1535,7 +1532,6 @@ mlir::scf::tileConsumerAndFuseProducersUsingSCF(
 
   // 1. First tile the consumer.
   SetVector<Operation *> fusedProducers, tiledAndFusedOps;
-  llvm::SmallDenseMap<Value, size_t> origProducerToLoopResultNum;
 
   FailureOr<scf::SCFTilingResult> tilingResult =
       tileUsingSCF(rewriter, consumer, options.tilingOptions);
diff --git a/mlir/lib/Dialect/SPIRV/IR/SPIRVOps.cpp b/mlir/lib/Dialect/SPIRV/IR/SPIRVOps.cpp
@@ -776,8 +776,6 @@ void spirv::EntryPointOp::build(OpBuilder &builder, OperationState &state,
 ParseResult spirv::EntryPointOp::parse(OpAsmParser &parser,
                                        OperationState &result) {
   spirv::ExecutionModel execModel;
-  SmallVector<OpAsmParser::UnresolvedOperand, 0> identifiers;
-  SmallVector<Type, 0> idTypes;
   SmallVector<Attribute, 4> interfaceVars;
 
   FlatSymbolRefAttr fn;
diff --git a/mlir/lib/Dialect/SPIRV/IR/SPIRVParsingUtils.h b/mlir/lib/Dialect/SPIRV/IR/SPIRVParsingUtils.h
@@ -49,7 +49,6 @@ ParseResult
 parseEnumKeywordAttr(EnumClass &value, ParserType &parser,
                      StringRef attrName = spirv::attributeName<EnumClass>()) {
   StringRef keyword;
-  SmallVector<NamedAttribute, 1> attr;
   auto loc = parser.getCurrentLocation();
   if (parser.parseKeyword(&keyword))
     return failure();
diff --git a/mlir/lib/Dialect/SparseTensor/Transforms/SparseGPUCodegen.cpp b/mlir/lib/Dialect/SparseTensor/Transforms/SparseGPUCodegen.cpp
@@ -1031,7 +1031,6 @@ static LogicalResult rewrite2To4SpMM(PatternRewriter &rewriter,
               .getAsyncToken();
   token = rewriter.create<gpu::DestroyDnTensorOp>(loc, tokenTp, token, dnC)
               .getAsyncToken();
-  SmallVector<Value> newDynamicSizes;
   token = genDeallocMemRef(rewriter, loc, buffer1, token);
   token = genDeallocMemRef(rewriter, loc, buffer2, token);
   token = genDeallocMemRef(rewriter, loc, buffer3, token);
diff --git a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
@@ -60,7 +60,6 @@ Operation *TensorDialect::materializeConstant(OpBuilder &builder,
 OpFoldResult tensor::getMixedSize(OpBuilder &builder, Location loc, Value value,
                                   int64_t dim) {
   auto tensorType = llvm::cast<RankedTensorType>(value.getType());
-  SmallVector<OpFoldResult> result;
   if (tensorType.isDynamicDim(dim))
     return builder.createOrFold<tensor::DimOp>(loc, value, dim);
 
@@ -1703,7 +1702,6 @@ OpFoldResult ReshapeOp::fold(FoldAdaptor adaptor) {
       if (auto dimOp = element.getDefiningOp<tensor::DimOp>()) {
         dynamicNoop &= dimOp.getSource() == source;
 
-        APSInt dim;
         auto cst = getConstantIntValue(dimOp.getIndex());
         dynamicNoop &=
             cst.has_value() && cst.value() == static_cast<int64_t>(id);

Original file line number	Diff line number	Diff line change
`@@ -118,7 +118,6 @@ SimplifyBoundedAffineOpsOp::apply(transform::TransformRewriter &rewriter,`
`118`	`118`	`}`
`119`	`119`	`targets.push_back(target);`
`120`	`120`	`}`
`121`		`- SmallVector<Operation *> transformed;`
`122`	`121`	`RewritePatternSet patterns(getContext());`
`123`	`122`	`// Canonicalization patterns are needed so that affine.apply ops are composed`
`124`	`123`	`// with the remaining affine.min/max ops.`
Original file line number	Diff line number	Diff line change
`@@ -41,7 +41,6 @@ LogicalResult mlir::affine::mergeOffsetsSizesAndStrides(`
`41`	`41`	`combinedStrides[i] = producerStrides[i];`
`42`	`42`	`continue;`
`43`	`43`	`}`
`44`		`- SmallVector<OpFoldResult> offsetSymbols, strideSymbols;`
`45`	`44`	`// The combined offset is computed as`
`46`	`45`	`// producer_offset + consumer_offset * producer_strides.`
`47`	`46`	`combinedOffsets[i] = makeComposedFoldedAffineApply(`