[mlir] Adopt cast function objects. NFC. #168228
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llvmbot added mlir:core 
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| @llvm/pr-subscribers-mlir-llvm @llvm/pr-subscribers-mlir-core Author: Jakub Kuderski (kuhar) ChangesThese were added in #165803. Full diff: https://github.com/llvm/llvm-project/pull/168228.diff 5 Files Affected:
diff --git a/mlir/lib/CAPI/Dialect/LLVM.cpp b/mlir/lib/CAPI/Dialect/LLVM.cpp index eaad8a87aab9b..6636f0ea73ec9 100644 --- a/mlir/lib/CAPI/Dialect/LLVM.cpp +++ b/mlir/lib/CAPI/Dialect/LLVM.cpp @@ -159,9 +159,8 @@ MlirAttribute mlirLLVMDIExpressionAttrGet(MlirContext ctx, intptr_t nOperations, return wrap(DIExpressionAttr::get( unwrap(ctx), - llvm::map_to_vector( - unwrapList(nOperations, operations, attrStorage), - [](Attribute a) { return cast<DIExpressionElemAttr>(a); }))); + llvm::map_to_vector(unwrapList(nOperations, operations, attrStorage), + llvm::CastTo<DIExpressionElemAttr>))); } MlirAttribute mlirLLVMDINullTypeAttrGet(MlirContext ctx) { @@ -202,7 +201,7 @@ MlirAttribute mlirLLVMDICompositeTypeAttrGet( cast<DIExpressionAttr>(unwrap(allocated)), cast<DIExpressionAttr>(unwrap(associated)), llvm::map_to_vector(unwrapList(nElements, elements, elementsStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }))); + llvm::CastTo<DINodeAttr>))); } MlirAttribute mlirLLVMDIDerivedTypeAttrGet( @@ -308,7 +307,7 @@ MlirAttribute mlirLLVMDISubroutineTypeAttrGet(MlirContext ctx, return wrap(DISubroutineTypeAttr::get( unwrap(ctx), callingConvention, llvm::map_to_vector(unwrapList(nTypes, types, attrStorage), - [](Attribute a) { return cast<DITypeAttr>(a); }))); + llvm::CastTo<DITypeAttr>))); } MlirAttribute mlirLLVMDISubprogramAttrGetRecSelf(MlirAttribute recId) { @@ -338,10 +337,10 @@ MlirAttribute mlirLLVMDISubprogramAttrGet( cast<DISubroutineTypeAttr>(unwrap(type)), llvm::map_to_vector( unwrapList(nRetainedNodes, retainedNodes, nodesStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }), + llvm::CastTo<DINodeAttr>), llvm::map_to_vector( unwrapList(nAnnotations, annotations, annotationsStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }))); + llvm::CastTo<DINodeAttr>))); } MlirAttribute mlirLLVMDISubprogramAttrGetScope(MlirAttribute diSubprogram) { @@ -398,7 +397,7 @@ MlirAttribute mlirLLVMDIImportedEntityAttrGet( cast<DINodeAttr>(unwrap(entity)), cast<DIFileAttr>(unwrap(file)), line, cast<StringAttr>(unwrap(name)), llvm::map_to_vector(unwrapList(nElements, elements, elementsStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }))); + llvm::CastTo<DINodeAttr>))); } MlirAttribute mlirLLVMDIAnnotationAttrGet(MlirContext ctx, MlirAttribute name, diff --git a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp index 110bfdce72ea4..b1893f0868ac5 100644 --- a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp +++ b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp @@ -551,9 +551,7 @@ void CastOp::getCanonicalizationPatterns(RewritePatternSet &results, RankedTensorType ConcatOp::inferResultType(int64_t dim, TypeRange inputTypes) { assert(!inputTypes.empty() && "cannot concatenate 0 tensors"); auto tensorTypes = - llvm::to_vector<4>(llvm::map_range(inputTypes, [](Type type) { - return llvm::cast<RankedTensorType>(type); - })); + llvm::map_to_vector<4>(inputTypes, llvm::CastTo<RankedTensorType>); int64_t concatRank = tensorTypes[0].getRank(); // The concatenation dim must be in the range [0, rank). diff --git a/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp b/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp index 8859541c78c91..24b048795b136 100644 --- a/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp +++ b/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp @@ -1495,8 +1495,7 @@ transform::detail::checkApplyToOne(Operation *transformOp, template <typename T> static SmallVector<T> castVector(ArrayRef<transform::MappedValue> range) { - return llvm::to_vector(llvm::map_range( - range, [](transform::MappedValue value) { return cast<T>(value); })); + return llvm::map_to_vector(range, llvm::CastTo<T>); } void transform::detail::setApplyToOneResults( diff --git a/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp b/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp index bbd7733e89c29..4455811a2e681 100644 --- a/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp +++ b/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp @@ -926,8 +926,7 @@ static SmallVector<Value> computeDistributedCoordinatesForMatrixOp( SmallVector<OpFoldResult> ofrVec = xegpu::addWithRightAligned( rewriter, loc, getAsOpFoldResult(maybeCoords.value()[0]), getAsOpFoldResult(origOffsets)); - newCoods = llvm::to_vector(llvm::map_range( - ofrVec, [&](OpFoldResult ofr) -> Value { return cast<Value>(ofr); })); + newCoods = llvm::map_to_vector(ofrVec, llvm::CastTo<Value>); return newCoods; } diff --git a/mlir/lib/IR/TypeUtilities.cpp b/mlir/lib/IR/TypeUtilities.cpp index e438631ffe1f5..199744d208143 100644 --- a/mlir/lib/IR/TypeUtilities.cpp +++ b/mlir/lib/IR/TypeUtilities.cpp @@ -118,8 +118,7 @@ LogicalResult mlir::verifyCompatibleDims(ArrayRef<int64_t> dims) { /// have compatible dimensions. Dimensions are compatible if all non-dynamic /// dims are equal. The element type does not matter. LogicalResult mlir::verifyCompatibleShapes(TypeRange types) { - auto shapedTypes = llvm::map_to_vector<8>( - types, [](auto type) { return llvm::dyn_cast<ShapedType>(type); }); + auto shapedTypes = llvm::map_to_vector<8>(types, llvm::DynCastTo<ShapedType>); // Return failure if some, but not all are not shaped. Return early if none // are shaped also. if (llvm::none_of(shapedTypes, [](auto t) { return t; })) |
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| @llvm/pr-subscribers-mlir-gpu Author: Jakub Kuderski (kuhar) ChangesThese were added in #165803. Full diff: https://github.com/llvm/llvm-project/pull/168228.diff 5 Files Affected:
diff --git a/mlir/lib/CAPI/Dialect/LLVM.cpp b/mlir/lib/CAPI/Dialect/LLVM.cpp index eaad8a87aab9b..6636f0ea73ec9 100644 --- a/mlir/lib/CAPI/Dialect/LLVM.cpp +++ b/mlir/lib/CAPI/Dialect/LLVM.cpp @@ -159,9 +159,8 @@ MlirAttribute mlirLLVMDIExpressionAttrGet(MlirContext ctx, intptr_t nOperations, return wrap(DIExpressionAttr::get( unwrap(ctx), - llvm::map_to_vector( - unwrapList(nOperations, operations, attrStorage), - [](Attribute a) { return cast<DIExpressionElemAttr>(a); }))); + llvm::map_to_vector(unwrapList(nOperations, operations, attrStorage), + llvm::CastTo<DIExpressionElemAttr>))); } MlirAttribute mlirLLVMDINullTypeAttrGet(MlirContext ctx) { @@ -202,7 +201,7 @@ MlirAttribute mlirLLVMDICompositeTypeAttrGet( cast<DIExpressionAttr>(unwrap(allocated)), cast<DIExpressionAttr>(unwrap(associated)), llvm::map_to_vector(unwrapList(nElements, elements, elementsStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }))); + llvm::CastTo<DINodeAttr>))); } MlirAttribute mlirLLVMDIDerivedTypeAttrGet( @@ -308,7 +307,7 @@ MlirAttribute mlirLLVMDISubroutineTypeAttrGet(MlirContext ctx, return wrap(DISubroutineTypeAttr::get( unwrap(ctx), callingConvention, llvm::map_to_vector(unwrapList(nTypes, types, attrStorage), - [](Attribute a) { return cast<DITypeAttr>(a); }))); + llvm::CastTo<DITypeAttr>))); } MlirAttribute mlirLLVMDISubprogramAttrGetRecSelf(MlirAttribute recId) { @@ -338,10 +337,10 @@ MlirAttribute mlirLLVMDISubprogramAttrGet( cast<DISubroutineTypeAttr>(unwrap(type)), llvm::map_to_vector( unwrapList(nRetainedNodes, retainedNodes, nodesStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }), + llvm::CastTo<DINodeAttr>), llvm::map_to_vector( unwrapList(nAnnotations, annotations, annotationsStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }))); + llvm::CastTo<DINodeAttr>))); } MlirAttribute mlirLLVMDISubprogramAttrGetScope(MlirAttribute diSubprogram) { @@ -398,7 +397,7 @@ MlirAttribute mlirLLVMDIImportedEntityAttrGet( cast<DINodeAttr>(unwrap(entity)), cast<DIFileAttr>(unwrap(file)), line, cast<StringAttr>(unwrap(name)), llvm::map_to_vector(unwrapList(nElements, elements, elementsStorage), - [](Attribute a) { return cast<DINodeAttr>(a); }))); + llvm::CastTo<DINodeAttr>))); } MlirAttribute mlirLLVMDIAnnotationAttrGet(MlirContext ctx, MlirAttribute name, diff --git a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp index 110bfdce72ea4..b1893f0868ac5 100644 --- a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp +++ b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp @@ -551,9 +551,7 @@ void CastOp::getCanonicalizationPatterns(RewritePatternSet &results, RankedTensorType ConcatOp::inferResultType(int64_t dim, TypeRange inputTypes) { assert(!inputTypes.empty() && "cannot concatenate 0 tensors"); auto tensorTypes = - llvm::to_vector<4>(llvm::map_range(inputTypes, [](Type type) { - return llvm::cast<RankedTensorType>(type); - })); + llvm::map_to_vector<4>(inputTypes, llvm::CastTo<RankedTensorType>); int64_t concatRank = tensorTypes[0].getRank(); // The concatenation dim must be in the range [0, rank). diff --git a/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp b/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp index 8859541c78c91..24b048795b136 100644 --- a/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp +++ b/mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp @@ -1495,8 +1495,7 @@ transform::detail::checkApplyToOne(Operation *transformOp, template <typename T> static SmallVector<T> castVector(ArrayRef<transform::MappedValue> range) { - return llvm::to_vector(llvm::map_range( - range, [](transform::MappedValue value) { return cast<T>(value); })); + return llvm::map_to_vector(range, llvm::CastTo<T>); } void transform::detail::setApplyToOneResults( diff --git a/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp b/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp index bbd7733e89c29..4455811a2e681 100644 --- a/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp +++ b/mlir/lib/Dialect/XeGPU/Transforms/XeGPUSubgroupDistribute.cpp @@ -926,8 +926,7 @@ static SmallVector<Value> computeDistributedCoordinatesForMatrixOp( SmallVector<OpFoldResult> ofrVec = xegpu::addWithRightAligned( rewriter, loc, getAsOpFoldResult(maybeCoords.value()[0]), getAsOpFoldResult(origOffsets)); - newCoods = llvm::to_vector(llvm::map_range( - ofrVec, [&](OpFoldResult ofr) -> Value { return cast<Value>(ofr); })); + newCoods = llvm::map_to_vector(ofrVec, llvm::CastTo<Value>); return newCoods; } diff --git a/mlir/lib/IR/TypeUtilities.cpp b/mlir/lib/IR/TypeUtilities.cpp index e438631ffe1f5..199744d208143 100644 --- a/mlir/lib/IR/TypeUtilities.cpp +++ b/mlir/lib/IR/TypeUtilities.cpp @@ -118,8 +118,7 @@ LogicalResult mlir::verifyCompatibleDims(ArrayRef<int64_t> dims) { /// have compatible dimensions. Dimensions are compatible if all non-dynamic /// dims are equal. The element type does not matter. LogicalResult mlir::verifyCompatibleShapes(TypeRange types) { - auto shapedTypes = llvm::map_to_vector<8>( - types, [](auto type) { return llvm::dyn_cast<ShapedType>(type); }); + auto shapedTypes = llvm::map_to_vector<8>(types, llvm::DynCastTo<ShapedType>); // Return failure if some, but not all are not shaped. Return early if none // are shaped also. if (llvm::none_of(shapedTypes, [](auto t) { return t; })) |
kuhar changed the title aadeshps-mcw pushed a commit to aadeshps-mcw/llvm-project that referenced this pull request Nov 26, 2025
These were added in llvm#165803.
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These were added in #165803.