| //===- DecomposeMemRefs.cpp - Decompose memrefs pass implementation -------===// | |
| // | |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. | |
| // See https://llvm.org/LICENSE.txt for license information. | |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| // | |
| //===----------------------------------------------------------------------===// | |
| // | |
| // This file implements decompose memrefs pass. | |
| // | |
| //===----------------------------------------------------------------------===// | |
| #include "mlir/Dialect/Affine/IR/AffineOps.h" | |
| #include "mlir/Dialect/GPU/IR/GPUDialect.h" | |
| #include "mlir/Dialect/GPU/Transforms/Passes.h" | |
| #include "mlir/Dialect/MemRef/IR/MemRef.h" | |
| #include "mlir/Dialect/Utils/IndexingUtils.h" | |
| #include "mlir/Dialect/Utils/StaticValueUtils.h" | |
| #include "mlir/IR/AffineExpr.h" | |
| #include "mlir/IR/Builders.h" | |
| #include "mlir/IR/PatternMatch.h" | |
| #include "mlir/Transforms/GreedyPatternRewriteDriver.h" | |
| namespace mlir { | |
| #define GEN_PASS_DEF_GPUDECOMPOSEMEMREFSPASS | |
| #include "mlir/Dialect/GPU/Transforms/Passes.h.inc" | |
| } // namespace mlir | |
| using namespace mlir; | |
| static MemRefType inferCastResultType(Value source, OpFoldResult offset) { | |
| auto sourceType = cast<BaseMemRefType>(source.getType()); | |
| SmallVector<int64_t> staticOffsets; | |
| SmallVector<Value> dynamicOffsets; | |
| dispatchIndexOpFoldResults(offset, dynamicOffsets, staticOffsets); | |
| auto stridedLayout = | |
| StridedLayoutAttr::get(source.getContext(), staticOffsets.front(), {}); | |
| return MemRefType::get({}, sourceType.getElementType(), stridedLayout, | |
| sourceType.getMemorySpace()); | |
| } | |
| static void setInsertionPointToStart(OpBuilder &builder, Value val) { | |
| if (auto *parentOp = val.getDefiningOp()) { | |
| builder.setInsertionPointAfter(parentOp); | |
| } else { | |
| builder.setInsertionPointToStart(val.getParentBlock()); | |
| } | |
| } | |
| static bool isInsideLaunch(Operation *op) { | |
| return op->getParentOfType<gpu::LaunchOp>(); | |
| } | |
| static std::tuple<Value, OpFoldResult, SmallVector<OpFoldResult>> | |
| getFlatOffsetAndStrides(OpBuilder &rewriter, Location loc, Value source, | |
| ArrayRef<OpFoldResult> subOffsets, | |
| ArrayRef<OpFoldResult> subStrides = {}) { | |
| auto sourceType = cast<MemRefType>(source.getType()); | |
| auto sourceRank = static_cast<unsigned>(sourceType.getRank()); | |
| memref::ExtractStridedMetadataOp newExtractStridedMetadata; | |
| { | |
| OpBuilder::InsertionGuard g(rewriter); | |
| setInsertionPointToStart(rewriter, source); | |
| newExtractStridedMetadata = | |
| memref::ExtractStridedMetadataOp::create(rewriter, loc, source); | |
| } | |
| auto &&[sourceStrides, sourceOffset] = sourceType.getStridesAndOffset(); | |
| auto getDim = [&](int64_t dim, Value dimVal) -> OpFoldResult { | |
| return ShapedType::isDynamic(dim) ? getAsOpFoldResult(dimVal) | |
| : rewriter.getIndexAttr(dim); | |
| }; | |
| OpFoldResult origOffset = | |
| getDim(sourceOffset, newExtractStridedMetadata.getOffset()); | |
| ValueRange sourceStridesVals = newExtractStridedMetadata.getStrides(); | |
| SmallVector<OpFoldResult> origStrides; | |
| origStrides.reserve(sourceRank); | |
| SmallVector<OpFoldResult> strides; | |
| strides.reserve(sourceRank); | |
| AffineExpr s0 = rewriter.getAffineSymbolExpr(0); | |
| AffineExpr s1 = rewriter.getAffineSymbolExpr(1); | |
| for (auto i : llvm::seq(0u, sourceRank)) { | |
| OpFoldResult origStride = getDim(sourceStrides[i], sourceStridesVals[i]); | |
| if (!subStrides.empty()) { | |
| strides.push_back(affine::makeComposedFoldedAffineApply( | |
| rewriter, loc, s0 * s1, {subStrides[i], origStride})); | |
| } | |
| origStrides.emplace_back(origStride); | |
| } | |
| auto &&[expr, values] = | |
| computeLinearIndex(origOffset, origStrides, subOffsets); | |
| OpFoldResult finalOffset = | |
| affine::makeComposedFoldedAffineApply(rewriter, loc, expr, values); | |
| return {newExtractStridedMetadata.getBaseBuffer(), finalOffset, strides}; | |
| } | |
| static Value getFlatMemref(OpBuilder &rewriter, Location loc, Value source, | |
| ValueRange offsets) { | |
| SmallVector<OpFoldResult> offsetsTemp = getAsOpFoldResult(offsets); | |
| auto &&[base, offset, ignore] = | |
| getFlatOffsetAndStrides(rewriter, loc, source, offsetsTemp); | |
| MemRefType retType = inferCastResultType(base, offset); | |
| return memref::ReinterpretCastOp::create(rewriter, loc, retType, base, offset, | |
| ArrayRef<OpFoldResult>(), | |
| ArrayRef<OpFoldResult>()); | |
| } | |
| static bool needFlatten(Value val) { | |
| auto type = cast<MemRefType>(val.getType()); | |
| return type.getRank() != 0; | |
| } | |
| static bool checkLayout(Value val) { | |
| auto type = cast<MemRefType>(val.getType()); | |
| return type.getLayout().isIdentity() || | |
| isa<StridedLayoutAttr>(type.getLayout()); | |
| } | |
| namespace { | |
| struct FlattenLoad : public OpRewritePattern<memref::LoadOp> { | |
| using Base::Base; | |
| LogicalResult matchAndRewrite(memref::LoadOp op, | |
| PatternRewriter &rewriter) const override { | |
| if (!isInsideLaunch(op)) | |
| return rewriter.notifyMatchFailure(op, "not inside gpu.launch"); | |
| Value memref = op.getMemref(); | |
| if (!needFlatten(memref)) | |
| return rewriter.notifyMatchFailure(op, "nothing to do"); | |
| if (!checkLayout(memref)) | |
| return rewriter.notifyMatchFailure(op, "unsupported layout"); | |
| Location loc = op.getLoc(); | |
| Value flatMemref = getFlatMemref(rewriter, loc, memref, op.getIndices()); | |
| rewriter.replaceOpWithNewOp<memref::LoadOp>( | |
| op, flatMemref, ValueRange{}, op.getNontemporalAttr(), | |
| op.getAlignmentAttr(), op.getInvariantAttr()); | |
| return success(); | |
| } | |
| }; | |
| struct FlattenStore : public OpRewritePattern<memref::StoreOp> { | |
| using Base::Base; | |
| LogicalResult matchAndRewrite(memref::StoreOp op, | |
| PatternRewriter &rewriter) const override { | |
| if (!isInsideLaunch(op)) | |
| return rewriter.notifyMatchFailure(op, "not inside gpu.launch"); | |
| Value memref = op.getMemref(); | |
| if (!needFlatten(memref)) | |
| return rewriter.notifyMatchFailure(op, "nothing to do"); | |
| if (!checkLayout(memref)) | |
| return rewriter.notifyMatchFailure(op, "unsupported layout"); | |
| Location loc = op.getLoc(); | |
| Value flatMemref = getFlatMemref(rewriter, loc, memref, op.getIndices()); | |
| Value value = op.getValue(); | |
| rewriter.replaceOpWithNewOp<memref::StoreOp>( | |
| op, value, flatMemref, ValueRange{}, op.getNontemporalAttr(), | |
| op.getAlignmentAttr()); | |
| return success(); | |
| } | |
| }; | |
| struct FlattenSubview : public OpRewritePattern<memref::SubViewOp> { | |
| using Base::Base; | |
| LogicalResult matchAndRewrite(memref::SubViewOp op, | |
| PatternRewriter &rewriter) const override { | |
| if (!isInsideLaunch(op)) | |
| return rewriter.notifyMatchFailure(op, "not inside gpu.launch"); | |
| Value memref = op.getSource(); | |
| if (!needFlatten(memref)) | |
| return rewriter.notifyMatchFailure(op, "nothing to do"); | |
| if (!checkLayout(memref)) | |
| return rewriter.notifyMatchFailure(op, "unsupported layout"); | |
| Location loc = op.getLoc(); | |
| SmallVector<OpFoldResult> subOffsets = op.getMixedOffsets(); | |
| SmallVector<OpFoldResult> subSizes = op.getMixedSizes(); | |
| SmallVector<OpFoldResult> subStrides = op.getMixedStrides(); | |
| auto &&[base, finalOffset, strides] = | |
| getFlatOffsetAndStrides(rewriter, loc, memref, subOffsets, subStrides); | |
| auto srcType = cast<MemRefType>(memref.getType()); | |
| auto resultType = cast<MemRefType>(op.getType()); | |
| unsigned subRank = static_cast<unsigned>(resultType.getRank()); | |
| llvm::SmallBitVector droppedDims = op.getDroppedDims(); | |
| SmallVector<OpFoldResult> finalSizes; | |
| finalSizes.reserve(subRank); | |
| SmallVector<OpFoldResult> finalStrides; | |
| finalStrides.reserve(subRank); | |
| for (auto i : llvm::seq(0u, static_cast<unsigned>(srcType.getRank()))) { | |
| if (droppedDims.test(i)) | |
| continue; | |
| finalSizes.push_back(subSizes[i]); | |
| finalStrides.push_back(strides[i]); | |
| } | |
| resultType = updateTypeFromMetadata(resultType, finalOffset, finalSizes, | |
| finalStrides); | |
| auto flattenedSubview = memref::ReinterpretCastOp::create( | |
| rewriter, op.getLoc(), resultType, base, finalOffset, finalSizes, | |
| finalStrides); | |
| if (resultType == op.getType()) { | |
| rewriter.replaceOp(op, flattenedSubview); | |
| return success(); | |
| } | |
| // Preserve the original result type expected by existing users. | |
| rewriter.replaceOpWithNewOp<memref::CastOp>(op, op.getType(), | |
| flattenedSubview); | |
| return success(); | |
| } | |
| }; | |
| struct GpuDecomposeMemrefsPass | |
| : public impl::GpuDecomposeMemrefsPassBase<GpuDecomposeMemrefsPass> { | |
| void runOnOperation() override { | |
| RewritePatternSet patterns(&getContext()); | |
| populateGpuDecomposeMemrefsPatterns(patterns); | |
| if (failed(applyPatternsGreedily(getOperation(), std::move(patterns)))) | |
| return signalPassFailure(); | |
| } | |
| }; | |
| } // namespace | |
| void mlir::populateGpuDecomposeMemrefsPatterns(RewritePatternSet &patterns) { | |
| patterns.insert<FlattenLoad, FlattenStore, FlattenSubview>( | |
| patterns.getContext()); | |
| } |