dc74d2f831
`let constructor` is legacy (do not use in tree!) since the table gen backend emits most of the glue logic to build a pass. This PR retires the td method for Shape and MLProgram
84 lines
2.8 KiB
C++
84 lines
2.8 KiB
C++
//===- ShapeToShapeLowering.cpp - Prepare for lowering to Standard --------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/Shape/Transforms/Passes.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Dialect/Shape/IR/Shape.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/DialectConversion.h"
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namespace mlir {
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#define GEN_PASS_DEF_SHAPETOSHAPELOWERINGPASS
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#include "mlir/Dialect/Shape/Transforms/Passes.h.inc"
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} // namespace mlir
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using namespace mlir;
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using namespace mlir::shape;
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namespace {
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/// Converts `shape.num_elements` to `shape.reduce`.
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struct NumElementsOpConverter : public OpRewritePattern<NumElementsOp> {
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public:
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using OpRewritePattern::OpRewritePattern;
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LogicalResult matchAndRewrite(NumElementsOp op,
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PatternRewriter &rewriter) const final;
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};
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} // namespace
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LogicalResult
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NumElementsOpConverter::matchAndRewrite(NumElementsOp op,
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PatternRewriter &rewriter) const {
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auto loc = op.getLoc();
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Type valueType = op.getResult().getType();
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Value init = op->getDialect()
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->materializeConstant(rewriter, rewriter.getIndexAttr(1),
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valueType, loc)
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->getResult(0);
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ReduceOp reduce = rewriter.create<ReduceOp>(loc, op.getShape(), init);
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// Generate reduce operator.
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Block *body = reduce.getBody();
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OpBuilder b = OpBuilder::atBlockEnd(body);
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Value product = b.create<MulOp>(loc, valueType, body->getArgument(1),
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body->getArgument(2));
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b.create<shape::YieldOp>(loc, product);
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rewriter.replaceOp(op, reduce.getResult());
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return success();
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}
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namespace {
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struct ShapeToShapeLowering
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: public impl::ShapeToShapeLoweringPassBase<ShapeToShapeLowering> {
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void runOnOperation() override;
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};
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} // namespace
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void ShapeToShapeLowering::runOnOperation() {
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MLIRContext &ctx = getContext();
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RewritePatternSet patterns(&ctx);
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populateShapeRewritePatterns(patterns);
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ConversionTarget target(getContext());
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target.addLegalDialect<arith::ArithDialect, ShapeDialect>();
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target.addIllegalOp<NumElementsOp>();
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if (failed(mlir::applyPartialConversion(getOperation(), target,
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std::move(patterns))))
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signalPassFailure();
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}
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void mlir::populateShapeRewritePatterns(RewritePatternSet &patterns) {
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patterns.add<NumElementsOpConverter>(patterns.getContext());
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}
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