Summary: This removes string ownership worries by putting everything into the context and allows more constructing identifiers programmatically. Reviewers: ftynse Subscribers: mehdi_amini, rriddle, jpienaar, shauheen, antiagainst, arpith-jacob, mgester, lucyrfox, aartbik, liufengdb, stephenneuendorffer, Joonsoo, grosul1, frgossen, Kayjukh, jurahul Tags: #mlir Differential Revision: https://reviews.llvm.org/D81027
244 lines
8.9 KiB
C++
244 lines
8.9 KiB
C++
//===- LinalgTransforms.cpp - Linalg transformations as patterns ----------===//
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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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//
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// This file implements logic and helpers to expose Linalg transforms as rewrite
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// patterns.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
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#include "mlir/Dialect/Linalg/Analysis/DependenceAnalysis.h"
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#include "mlir/Dialect/Linalg/IR/LinalgOps.h"
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#include "mlir/Dialect/Linalg/Utils/Utils.h"
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#include "mlir/Dialect/StandardOps/EDSC/Intrinsics.h"
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#include "mlir/Dialect/Utils/StructuredOpsUtils.h"
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#include "mlir/Dialect/Vector/EDSC/Intrinsics.h"
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#include "mlir/Dialect/Vector/VectorOps.h"
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#include "mlir/IR/AffineExpr.h"
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#include "mlir/IR/Matchers.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/Support/LLVM.h"
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#include "llvm/Support/Debug.h"
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#include "llvm/Support/raw_ostream.h"
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#include <type_traits>
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#define DEBUG_TYPE "linalg-transforms"
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using namespace mlir;
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using namespace mlir::edsc;
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using namespace mlir::edsc::intrinsics;
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using namespace mlir::linalg;
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using llvm::dbgs;
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#define DEBUG_TYPE "linalg-transforms"
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//===----------------------------------------------------------------------===//
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// Transformations exposed as rewrite patterns.
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//===----------------------------------------------------------------------===//
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// Marker used as attribute name in generated Linalg rewriting transformations.
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const StringLiteral mlir::linalg::LinalgTransforms::kLinalgTransformMarker =
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"__internal_linalg_transform__";
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mlir::linalg::LinalgMarker::LinalgMarker(ArrayRef<Identifier> matchDisjunction,
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Optional<Identifier> replacement)
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: matchDisjunction(matchDisjunction.begin(), matchDisjunction.end()),
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replacement(replacement) {}
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LogicalResult
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mlir::linalg::LinalgMarker::checkAndNotify(PatternRewriter &rewriter,
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Operation *op) const {
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auto attr = op->template getAttrOfType<StringAttr>(
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LinalgTransforms::kLinalgTransformMarker);
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if (!attr) {
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// 1. Has no marker case and matchDisjunction is empty.
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if (matchDisjunction.empty())
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return success();
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// 2. Has no marker but was expecting a marker.
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return rewriter.notifyMatchFailure(op, [&](Diagnostic &diag) {
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diag << " does not have any marker from list: ";
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interleaveComma(matchDisjunction, diag);
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});
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}
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// 4. Match explicit marker.
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for (auto marker : matchDisjunction)
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if (attr.getValue() == marker)
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return success();
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// 5. Fail to match.
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return rewriter.notifyMatchFailure(op, [&](Diagnostic &diag) {
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diag << " does not have any marker from list: ";
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interleaveComma(matchDisjunction, diag);
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});
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}
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void mlir::linalg::LinalgMarker::replaceLinalgMarker(PatternRewriter &rewriter,
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Operation *op) const {
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if (replacement.hasValue())
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op->setAttr(LinalgTransforms::kLinalgTransformMarker,
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rewriter.getStringAttr(replacement.getValue()));
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else
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op->removeAttr(Identifier::get(LinalgTransforms::kLinalgTransformMarker,
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rewriter.getContext()));
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}
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LinalgTilingOptions &
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mlir::linalg::LinalgTilingOptions::setTileSizes(ArrayRef<int64_t> ts) {
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SmallVector<int64_t, 4> tileSizes(ts.begin(), ts.end());
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tileSizeComputationFunction = [tileSizes](OpBuilder &b, Operation *op) {
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OpBuilder::InsertionGuard guard(b);
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b.setInsertionPointToStart(
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&op->getParentOfType<FuncOp>().getBody().front());
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return llvm::to_vector<4>(map_range(tileSizes, [&](int64_t s) {
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Value v = b.create<ConstantIndexOp>(op->getLoc(), s);
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return v;
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}));
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};
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return *this;
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};
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/// Linalg base tiling pattern.
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mlir::linalg::LinalgBaseTilingPattern::LinalgBaseTilingPattern(
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StringRef opName, MLIRContext *context, LinalgTilingOptions options,
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LinalgMarker marker, PatternBenefit benefit)
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: RewritePattern(opName, {}, benefit, context), marker(marker),
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options(options) {}
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LogicalResult mlir::linalg::LinalgBaseTilingPattern::matchAndRewrite(
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Operation *op, PatternRewriter &rewriter) const {
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LinalgOp linalgOp = dyn_cast<LinalgOp>(op);
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if (!linalgOp)
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return failure();
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if (failed(marker.checkAndNotify(rewriter, linalgOp)))
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return failure();
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Optional<TiledLinalgOp> res = tileLinalgOp(rewriter, linalgOp, options);
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if (!res)
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return failure();
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// New marker if specified.
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marker.replaceLinalgMarker(rewriter, res->op.getOperation());
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rewriter.eraseOp(op);
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return success();
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}
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/// Linalg base interchange pattern.
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mlir::linalg::LinalgBaseInterchangePattern::LinalgBaseInterchangePattern(
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StringRef opName, MLIRContext *context,
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ArrayRef<unsigned> interchangeVector, LinalgMarker marker,
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PatternBenefit benefit)
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: RewritePattern(opName, {}, benefit, context), marker(marker),
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interchangeVector(interchangeVector.begin(), interchangeVector.end()) {}
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LogicalResult mlir::linalg::LinalgBaseInterchangePattern::matchAndRewrite(
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Operation *op, PatternRewriter &rewriter) const {
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LinalgOp linalgOp = dyn_cast<LinalgOp>(op);
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if (!linalgOp)
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return failure();
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if (failed(marker.checkAndNotify(rewriter, linalgOp)))
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return failure();
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if (failed(interchangeGenericLinalgOpPrecondition(op, interchangeVector)))
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return failure();
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// TODO: figure out how this interplays with named ops. In particular this
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// should break the named op property.
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rewriter.updateRootInPlace(op, [&]() {
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interchange(linalgOp, interchangeVector);
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// New marker if specified.
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marker.replaceLinalgMarker(rewriter, op);
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});
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return success();
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}
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mlir::linalg::LinalgBasePromotionPattern::LinalgBasePromotionPattern(
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StringRef opName, MLIRContext *context, LinalgPromotionOptions options,
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LinalgMarker marker, PatternBenefit benefit)
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: RewritePattern(opName, {}, benefit, context), marker(marker),
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options(options) {}
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LogicalResult mlir::linalg::LinalgBasePromotionPattern::matchAndRewrite(
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Operation *op, PatternRewriter &rewriter) const {
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if (failed(marker.checkAndNotify(rewriter, op)))
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return failure();
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if (failed(promoteSubviewsPrecondition(op, options)))
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return failure();
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// TODO: We cannot use root update here. This pattern is creating other ops,
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// so if the promotion fails, those need to be cleaned up, which doesnt seem
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// to be happening here. So to fail properly, we should be cloning the op and
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// deleting the previous op. This needs more investigation.
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rewriter.startRootUpdate(op);
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Optional<LinalgOp> promotedOp = promoteSubViews(rewriter, op, options);
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if (!promotedOp) {
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rewriter.cancelRootUpdate(op);
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return op->emitError("subview promotion failed");
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}
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rewriter.finalizeRootUpdate(op);
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marker.replaceLinalgMarker(rewriter, op);
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return success();
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}
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mlir::linalg::LinalgBaseVectorizationPattern::LinalgBaseVectorizationPattern(
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StringRef opName, MLIRContext *context, LinalgMarker marker,
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PatternBenefit benefit)
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: RewritePattern(opName, {}, benefit, context), marker(marker) {}
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LogicalResult mlir::linalg::LinalgBaseVectorizationPattern::matchAndRewrite(
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Operation *op, PatternRewriter &rewriter) const {
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LinalgOp linalgOp = dyn_cast<LinalgOp>(op);
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if (!linalgOp)
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return failure();
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if (failed(marker.checkAndNotify(rewriter, linalgOp)))
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return failure();
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if (failed(vectorizeLinalgOpPrecondition(op)))
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return failure();
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vectorizeLinalgOp(rewriter, op);
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rewriter.eraseOp(op);
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return success();
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}
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LogicalResult mlir::linalg::applyStagedPatterns(
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Operation *op, ArrayRef<OwningRewritePatternList> stage1Patterns,
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const OwningRewritePatternList &stage2Patterns,
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function_ref<LogicalResult(Operation *)> stage3Lambda) {
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unsigned iteration = 0;
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(void)iteration;
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StringRef dbgPref = "\n[" DEBUG_TYPE "]: ";
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(void)dbgPref;
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for (const auto &patterns : stage1Patterns) {
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if (!applyPatternsAndFoldGreedily(op, patterns)) {
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dbgs() << "Underlying first stage rewrite did not converge";
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return failure();
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}
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LLVM_DEBUG(dbgs()
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<< dbgPref << "After 1st stage, iter: " << ++iteration << "\n"
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<< *op);
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if (!applyPatternsAndFoldGreedily(op, stage2Patterns)) {
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LLVM_DEBUG(dbgs()
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<< dbgPref << "Underlying 2nd stage rewrite did not converge");
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return failure();
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}
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LLVM_DEBUG(dbgs()
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<< dbgPref << "After 2nd stage, iter : " << iteration << "\n"
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<< *op);
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if (stage3Lambda) {
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if (failed(stage3Lambda(op)))
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return failure();
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LLVM_DEBUG(dbgs()
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<< dbgPref << "After 3rd stage, iter : " << iteration << "\n"
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<< *op);
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}
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}
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return success();
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}
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