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https://github.com/zama-ai/concrete.git
synced 2026-04-17 03:00:54 -04:00
refactor(compiler): Use signature conversion for conversion of ops with nested blocks
The current scheme used by reinstantiating conversion patterns in `lib/Conversion/Utils/Dialects` for operations with blocks is to create a new operation with empty blocks, to move the operations from the old blocks and then to replace any references to block arguments. However, such in-place updates of the types of block arguments leave conversion patterns for operations nested in the blocks without the ability to determine the original types of values from before the update. This change uses proper signature conversion for block arguments, such that the original types of block arguments with converted types is preserved, while the new types are made available through the dialect conversion infrastructure via the respective adaptors.
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@@ -22,6 +22,12 @@ mlir::Value globalMemrefFromArrayAttr(mlir::RewriterBase &rewriter,
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mlir::Location loc,
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mlir::ArrayAttr arrAttr);
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mlir::Operation *convertOpWithBlocks(mlir::Operation *op,
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mlir::ValueRange newOperands,
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mlir::TypeRange newResultTypes,
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mlir::TypeConverter &typeConverter,
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mlir::ConversionPatternRewriter &rewriter);
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} // namespace concretelang
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} // namespace mlir
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#endif
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@@ -4,7 +4,7 @@
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// for license information.
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#include "concretelang/Conversion/Utils/Dialects/SCF.h"
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#include "mlir/Transforms/RegionUtils.h"
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#include "concretelang/Conversion/Utils/Utils.h"
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namespace mlir {
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namespace concretelang {
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@@ -13,29 +13,16 @@ mlir::LogicalResult
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TypeConvertingReinstantiationPattern<scf::ForOp, false>::matchAndRewrite(
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scf::ForOp oldOp, mlir::OpConversionPattern<scf::ForOp>::OpAdaptor adaptor,
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mlir::ConversionPatternRewriter &rewriter) const {
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// Create new for loop with empty body, but converted iter args
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scf::ForOp newForOp = rewriter.create<scf::ForOp>(
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oldOp.getLoc(), adaptor.getLowerBound(), adaptor.getUpperBound(),
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adaptor.getStep(), adaptor.getInitArgs(),
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[&](OpBuilder &builder, Location loc, Value iv, ValueRange args) {});
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mlir::TypeConverter &typeConverter = *getTypeConverter();
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llvm::SmallVector<mlir::Type> convertedResultTypes;
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newForOp->setAttrs(adaptor.getAttributes());
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// Move operations from old for op to new one
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auto &newOperations = newForOp.getBody()->getOperations();
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mlir::Block *oldBody = oldOp.getBody();
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newOperations.splice(newOperations.begin(), oldBody->getOperations(),
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oldBody->begin(), oldBody->end());
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// Remap iter args and IV
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for (auto argsPair : llvm::zip(oldOp.getBody()->getArguments(),
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newForOp.getBody()->getArguments())) {
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replaceAllUsesInRegionWith(std::get<0>(argsPair), std::get<1>(argsPair),
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newForOp.getRegion());
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if (typeConverter.convertTypes(oldOp.getResultTypes(), convertedResultTypes)
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.failed()) {
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return mlir::failure();
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}
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rewriter.replaceOp(oldOp, newForOp.getResults());
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convertOpWithBlocks(oldOp, adaptor.getOperands(), convertedResultTypes,
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typeConverter, rewriter);
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return mlir::success();
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}
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@@ -49,56 +36,10 @@ TypeConvertingReinstantiationPattern<scf::ForallOp, false>::matchAndRewrite(
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scf::ForallOp oldOp,
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mlir::OpConversionPattern<scf::ForallOp>::OpAdaptor adaptor,
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mlir::ConversionPatternRewriter &rewriter) const {
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// Create new forall operation with empty body, but converted iter
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// args
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llvm::SmallVector<mlir::OpFoldResult> lbs = getMixedValues(
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adaptor.getStaticLowerBound(), adaptor.getDynamicLowerBound(), rewriter);
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llvm::SmallVector<mlir::OpFoldResult> ubs = getMixedValues(
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adaptor.getStaticUpperBound(), adaptor.getDynamicUpperBound(), rewriter);
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llvm::SmallVector<mlir::OpFoldResult> step = getMixedValues(
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adaptor.getStaticStep(), adaptor.getDynamicStep(), rewriter);
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rewriter.setInsertionPoint(oldOp);
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scf::ForallOp newForallOp = rewriter.create<scf::ForallOp>(
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oldOp.getLoc(), lbs, ubs, step, adaptor.getOutputs(),
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adaptor.getMapping());
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newForallOp->setAttrs(adaptor.getAttributes());
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// Move operations from old for op to new one
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auto &newOperations = newForallOp.getBody()->getOperations();
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mlir::Block *oldBody = oldOp.getBody();
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newOperations.splice(newOperations.begin(), oldBody->getOperations(),
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oldBody->begin(), std::prev(oldBody->end()));
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// Move operations from `scf.forall.in_parallel` terminator of the
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// old op to the terminator of the new op
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mlir::scf::InParallelOp oldTerminator =
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llvm::dyn_cast<mlir::scf::InParallelOp>(*std::prev(oldBody->end()));
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assert(oldTerminator && "Last operation of `scf.forall` op expected be a "
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"`scf.forall.in_parallel` op");
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mlir::scf::InParallelOp newTerminator = newForallOp.getTerminator();
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mlir::Block::OpListType &oldTerminatorOps =
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oldTerminator.getRegion().getBlocks().begin()->getOperations();
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mlir::Block::OpListType &newTerminatorOps =
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newTerminator.getRegion().getBlocks().begin()->getOperations();
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newTerminatorOps.splice(newTerminatorOps.begin(), oldTerminatorOps,
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oldTerminatorOps.begin(), oldTerminatorOps.end());
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// Remap iter args and IV
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for (auto argsPair : llvm::zip(oldOp.getBody()->getArguments(),
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newForallOp.getBody()->getArguments())) {
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std::get<0>(argsPair).replaceAllUsesWith(std::get<1>(argsPair));
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}
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rewriter.replaceOp(oldOp, newForallOp.getResults());
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convertOpWithBlocks(oldOp, adaptor.getOperands(),
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adaptor.getOutputs().getTypes(), *getTypeConverter(),
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rewriter);
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return mlir::success();
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}
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@@ -4,8 +4,7 @@
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// for license information.
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#include "concretelang/Conversion/Utils/Dialects/Tensor.h"
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#include "mlir/Transforms/RegionUtils.h"
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#include "llvm/ADT/STLExtras.h"
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#include "concretelang/Conversion/Utils/Utils.h"
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namespace mlir {
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namespace concretelang {
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@@ -79,26 +78,8 @@ TypeConvertingReinstantiationPattern<tensor::GenerateOp, true>::matchAndRewrite(
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mlir::ConversionPatternRewriter &rewriter) const {
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mlir::SmallVector<mlir::Type> resultTypes = convertResultTypes(oldOp);
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rewriter.setInsertionPointAfter(oldOp);
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tensor::GenerateOp newGenerateOp = rewriter.create<tensor::GenerateOp>(
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oldOp.getLoc(), resultTypes, adaptor.getOperands(), oldOp->getAttrs());
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mlir::Block &oldBlock = oldOp.getBody().getBlocks().front();
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mlir::Block &newBlock = newGenerateOp.getBody().getBlocks().front();
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auto begin = oldBlock.begin();
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auto nOps = oldBlock.getOperations().size();
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newBlock.getOperations().splice(newBlock.getOperations().begin(),
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oldBlock.getOperations(), begin,
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std::next(begin, nOps - 1));
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for (auto argsPair : llvm::zip(oldOp.getRegion().getArguments(),
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newGenerateOp.getRegion().getArguments())) {
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replaceAllUsesInRegionWith(std::get<0>(argsPair), std::get<1>(argsPair),
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newGenerateOp.getRegion());
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}
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rewriter.replaceOp(oldOp, newGenerateOp.getResult());
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convertOpWithBlocks(oldOp, adaptor.getOperands(), resultTypes,
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*getTypeConverter(), rewriter);
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return mlir::success();
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}
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@@ -6,6 +6,7 @@
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#include "concretelang/Conversion/Utils/Utils.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Bufferization/Transforms/BufferUtils.h"
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#include "mlir/Transforms/RegionUtils.h"
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namespace mlir {
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namespace concretelang {
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@@ -56,5 +57,32 @@ mlir::Value globalMemrefFromArrayAttr(mlir::RewriterBase &rewriter,
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return mlir::concretelang::getCastedMemRef(rewriter, globalRef);
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}
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// Converts an operation `op` with nested blocks using a type
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// converter and a conversion pattern rewriter, such that the newly
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// created operation uses the operands specified in `newOperands` and
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// returns a value of the types `newResultTypes`.
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mlir::Operation *
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convertOpWithBlocks(mlir::Operation *op, mlir::ValueRange newOperands,
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mlir::TypeRange newResultTypes,
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mlir::TypeConverter &typeConverter,
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mlir::ConversionPatternRewriter &rewriter) {
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mlir::OperationState state(op->getLoc(), op->getName().getStringRef(),
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newOperands, newResultTypes, op->getAttrs(),
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op->getSuccessors());
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for (Region ®ion : op->getRegions()) {
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Region *newRegion = state.addRegion();
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rewriter.inlineRegionBefore(region, *newRegion, newRegion->begin());
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TypeConverter::SignatureConversion result(newRegion->getNumArguments());
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(void)typeConverter.convertSignatureArgs(newRegion->getArgumentTypes(),
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result);
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rewriter.applySignatureConversion(newRegion, result);
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}
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Operation *newOp = rewriter.create(state);
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rewriter.replaceOp(op, newOp->getResults());
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return newOp;
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}
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} // namespace concretelang
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} // namespace mlir
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