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zeekay
674da0bb9e
The headers said 'BSD3 License with Lux Industries Exceptions', which is not a licence that exists — the sweep that removed the upstream vendor's name substituted ours into the licence title instead of correcting it. LICENSE.txt is the BSD 3-Clause Clear License and the headers now say so.
82 lines
2.7 KiB
C++
82 lines
2.7 KiB
C++
// Part of the Torus Compiler Project, under the BSD 3-Clause Clear
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// License. See
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// https://github.com/luxfhe.com/torus-compiler-internal/blob/main/LICENSE.txt
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// for license information.
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#include "toruslang/Transforms/Passes.h"
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#include "mlir/Dialect/Linalg/IR/Linalg.h"
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#include "mlir/Transforms/DialectConversion.h"
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namespace {
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struct LinalgFillToLinalgGenericPattern
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: public mlir::OpRewritePattern<mlir::linalg::FillOp> {
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LinalgFillToLinalgGenericPattern(::mlir::MLIRContext *context,
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mlir::PatternBenefit benefit = 1)
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: ::mlir::OpRewritePattern<mlir::linalg::FillOp>(context, benefit) {}
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::mlir::LogicalResult
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matchAndRewrite(mlir::linalg::FillOp fillOp,
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::mlir::PatternRewriter &rewriter) const override {
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if (fillOp.getOutputs().size() != 1)
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return ::mlir::failure();
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mlir::RankedTensorType outputTensorType =
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fillOp.getOutputs()[0].getType().cast<mlir::RankedTensorType>();
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llvm::SmallVector<mlir::utils::IteratorType> iteratorTypes(
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outputTensorType.getRank(), mlir::utils::IteratorType::parallel);
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mlir::AffineMap map = mlir::AffineMap::getMultiDimIdentityMap(
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outputTensorType.getRank(), this->getContext());
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mlir::SmallVector<mlir::AffineMap> maps(1, map);
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auto bodyBuilder = [&](mlir::OpBuilder &nestedBuilder,
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mlir::Location nestedLoc,
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mlir::ValueRange blockArgs) {
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nestedBuilder.create<mlir::linalg::YieldOp>(nestedLoc,
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fillOp.getInputs()[0]);
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};
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rewriter.replaceOpWithNewOp<mlir::linalg::GenericOp>(
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fillOp, fillOp.getOutputs().getTypes(), mlir::ValueRange{},
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fillOp.getOutputs(), maps, iteratorTypes, bodyBuilder);
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return ::mlir::success();
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};
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};
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struct LinalgFillToLinalgGenericPass
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: public LinalgFillToLinalgGenericBase<LinalgFillToLinalgGenericPass> {
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LinalgFillToLinalgGenericPass() {}
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void runOnOperation() override {
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auto op = this->getOperation();
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mlir::ConversionTarget target(getContext());
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mlir::RewritePatternSet patterns(&getContext());
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patterns.add<LinalgFillToLinalgGenericPattern>(&getContext());
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target.addIllegalOp<mlir::linalg::FillOp>();
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target.markUnknownOpDynamicallyLegal(
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[](mlir::Operation *) { return true; });
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// Apply conversion
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if (mlir::applyPartialConversion(op, target, std::move(patterns))
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.failed()) {
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this->signalPassFailure();
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}
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}
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};
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} // namespace
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namespace mlir {
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namespace toruslang {
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std::unique_ptr<OperationPass<ModuleOp>> createLinalgFillToLinalgGenericPass() {
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return std::make_unique<LinalgFillToLinalgGenericPass>();
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}
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} // namespace toruslang
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} // namespace mlir
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