Previously, for masked tile loads/stores we directly used the dimension size from the `vector.create_mask` operation as the upper bound of the `scf.for` over the tile slices. This was not correct, as `create_mask` allows operands to be greater than the size of the vector dimension, in which case the for loop bounds should be clamped to the number of tile slices.
426 lines
17 KiB
C++
426 lines
17 KiB
C++
//===- ArmSMEToSCF.cpp - Convert ArmSME to SCF dialect ----------*- C++ -*-===//
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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 lowering of ArmSME operations to SCF.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/ArmSMEToSCF/ArmSMEToSCF.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/ArmSME/IR/ArmSME.h"
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#include "mlir/Dialect/ArmSME/Utils/Utils.h"
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#include "mlir/Dialect/SCF/IR/SCF.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_CONVERTARMSMETOSCF
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#include "mlir/Conversion/Passes.h.inc"
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} // namespace mlir
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using namespace mlir;
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namespace {
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/// Returns adjusted (1-D or 2-D) `indices` for a tile slice as follows:
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/// rank 1: (indices[0] + (tileSliceIndex * tileSliceNumElts))
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/// rank 2: (indices[0] + tileSliceIndex, indices[1])
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SmallVector<Value, 2> getMemrefIndices(ValueRange indices, unsigned rank,
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Value tileSliceIndex,
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Value tileSliceNumElts, Location loc,
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PatternRewriter &rewriter) {
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assert((rank == 1 || rank == 2) && "memref has unexpected rank!");
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SmallVector<Value, 2> outIndices;
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auto tileSliceOffset = tileSliceIndex;
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if (rank == 1)
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tileSliceOffset =
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rewriter.create<arith::MulIOp>(loc, tileSliceOffset, tileSliceNumElts);
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auto baseIndexPlusTileSliceOffset =
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rewriter.create<arith::AddIOp>(loc, indices[0], tileSliceOffset);
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outIndices.push_back(baseIndexPlusTileSliceOffset);
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if (rank == 2)
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outIndices.push_back(indices[1]);
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return outIndices;
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}
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/// Creates an scf.for for the load/store of an ArmSME tile.
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FailureOr<scf::ForOp> createLoadStoreForOverTileSlices(
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PatternRewriter &rewriter, Location loc, VectorType tileType,
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ValueRange memrefIndices, int memrefRank, Value mask, Value initTile,
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function_ref<Value(/*index=*/Value, ValueRange, /*predicate=*/Value,
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/*currentTile=*/Value)>
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makeLoopBody) {
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PatternRewriter::InsertionGuard guard(rewriter);
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auto minTileSlices = rewriter.create<arith::ConstantIndexOp>(
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loc, arm_sme::getSMETileSliceMinNumElts(tileType.getElementType()));
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auto vscale =
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rewriter.create<vector::VectorScaleOp>(loc, rewriter.getIndexType());
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auto predicateType =
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VectorType::get(tileType.getDimSize(1), rewriter.getI1Type(), true);
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// This describes both the number of ZA tile slices and the number of
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// elements in a vector of SVL bits for a given element type (SVL_B,
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// SVL_H, ..., SVL_Q).
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auto numTileSlices =
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rewriter.create<arith::MulIOp>(loc, minTileSlices, vscale);
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Value predicate;
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Value upperBound;
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if (mask) {
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auto createMaskOp = mask.getDefiningOp<vector::CreateMaskOp>();
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if (!createMaskOp)
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return rewriter.notifyMatchFailure(
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loc, "unsupported mask op, only 'vector.create_mask' is "
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"currently supported");
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auto maskDim0 = createMaskOp.getOperands()[0];
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auto maskDim1 = createMaskOp.getOperands()[1];
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// The upper bound of the loop must be clamped at `numTileSlices` as
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// `vector.create_mask` allows operands to be greater than the size of a
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// dimension.
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auto numRowI64 = rewriter.create<arith::IndexCastOp>(
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loc, rewriter.getI64Type(), maskDim0);
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auto numTileSlicesI64 = rewriter.create<arith::IndexCastOp>(
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loc, rewriter.getI64Type(), numTileSlices);
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auto upperBoundI64 =
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rewriter.create<arith::MinSIOp>(loc, numRowI64, numTileSlicesI64);
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upperBound = rewriter.create<arith::IndexCastOp>(
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loc, rewriter.getIndexType(), upperBoundI64);
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predicate =
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rewriter.create<vector::CreateMaskOp>(loc, predicateType, maskDim1);
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} else {
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upperBound = numTileSlices;
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// No mask. Create an 'all true' predicate for the tile slice.
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predicate = rewriter.create<arith::ConstantOp>(
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loc, DenseElementsAttr::get(predicateType, true));
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}
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bool hasCarriedArgs = bool(initTile);
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auto lowerBound = rewriter.create<arith::ConstantIndexOp>(loc, 0);
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auto step = rewriter.create<arith::ConstantIndexOp>(loc, 1);
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auto forOp = rewriter.create<scf::ForOp>(loc, lowerBound, upperBound, step,
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hasCarriedArgs ? ValueRange{initTile}
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: ValueRange{});
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rewriter.setInsertionPointToStart(forOp.getBody());
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Value tileSliceIndex = forOp.getInductionVar();
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auto adjustedIndices = getMemrefIndices(
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memrefIndices, memrefRank, tileSliceIndex, numTileSlices, loc, rewriter);
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auto nextTile = makeLoopBody(
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tileSliceIndex, adjustedIndices, predicate,
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/*currentTile=*/hasCarriedArgs ? forOp.getRegionIterArg(0) : Value{});
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assert(bool(nextTile) == hasCarriedArgs);
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if (nextTile)
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rewriter.create<scf::YieldOp>(loc, nextTile);
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return forOp;
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}
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FailureOr<scf::ForOp> createLoadStoreForOverTileSlices(
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PatternRewriter &rewriter, Location loc, VectorType tileType,
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ValueRange memrefIndices, int memrefRank, Value mask,
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function_ref<void(/*index=*/Value, ValueRange, /*predicate=*/Value)>
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makeLoopBody) {
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return createLoadStoreForOverTileSlices(
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rewriter, loc, tileType, memrefIndices, memrefRank, mask, Value{},
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[&](Value index, ValueRange adjustedIndices, Value predicate,
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Value) -> Value {
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makeLoopBody(index, adjustedIndices, predicate);
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return {};
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});
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}
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/// Lower `arm_sme.tile_load` without a mask, or with a mask and a zero pad.
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///
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/// With a mask:
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///
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/// BEFORE:
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/// ```mlir
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/// %pad = arith.constant 0 : i32
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/// %mask = vector.create_mask %num_rows, %num_cols : vector<[4]x[4]xi1>
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/// %tile = arm_sme.tile_load %src[%c0, %c0], %pad, %mask :
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/// memref<?x?xi32>, vector<[4]x[4]xi32>
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/// ```
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///
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/// AFTER:
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/// ```mlir
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/// %init_tile = arm_sme.zero : vector<[4]x[4]xi32>
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/// %mask_cols = vector.create_mask %num_cols : vector<[4]xi1>
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/// %loop_rows = arith.minsi %num_rows, %svl_s : index
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/// %tile = scf.for %tile_slice_idx = %c0 to %loop_rows step %c1
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/// iter_args(%iter_tile = %init_tile) -> (vector<[4]x[4]xi32>) {
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/// %tile_update = arm_sme.load_tile_slice
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/// %src[%tile_slice_idx], %num_cols, %iter_tile, %tile_slice_idx :
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/// memref<?x?xi32>, vector<[1]xi32>, vector<[4]x[4]xi32>
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/// scf.yield %tile_update : vector<[4]x[4]xi32>
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/// }
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/// ```
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///
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/// Without a mask the lowering is pretty much identical. The only difference is
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/// %mask_cols becomes an all-true mask, and %loop_rows becomes %svl_s.
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///
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/// NOTE: Only mask of 'vector.create_mask' op is currently supported.
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struct TileLoadOpConversion : public OpRewritePattern<arm_sme::TileLoadOp> {
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using OpRewritePattern<arm_sme::TileLoadOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(arm_sme::TileLoadOp tileLoadOp,
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PatternRewriter &rewriter) const override {
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auto loc = tileLoadOp.getLoc();
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auto tileType = tileLoadOp.getVectorType();
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auto mask = tileLoadOp.getMask();
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Value initTile;
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if (mask) {
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auto padOp = tileLoadOp.getPadding();
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assert(padOp && "expected padding when masking!");
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auto constPadOp = padOp.getDefiningOp<arith::ConstantOp>();
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if (!constPadOp || constPadOp.getValue() !=
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rewriter.getZeroAttr(tileType.getElementType()))
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return rewriter.notifyMatchFailure(
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tileLoadOp, "op has non-zero pad, needs non-zero pad pattern");
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// Initialize tile with zero to satisfy padding. Inactive cols will be
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// zeroed anyway since the loads use zeroing predication. For inactive
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// rows however, no load will occur so these need to be zeroed.
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initTile = tileLoadOp.createOpAndForwardTileId<arm_sme::ZeroOp>(
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rewriter, loc, tileType);
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} else {
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// Allocate a new SME tile.
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initTile = tileLoadOp.createOpAndForwardTileId<arm_sme::GetTileOp>(
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rewriter, loc, tileType);
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}
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// Create a loop to load the active tile slices from memory.
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auto forOp = createLoadStoreForOverTileSlices(
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rewriter, loc, tileType, tileLoadOp.getIndices(),
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tileLoadOp.getMemRefType().getRank(), mask, initTile,
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[&](Value tileSliceIndex, ValueRange memrefIndices, Value predicate,
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Value currentTile) -> Value {
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// Create 'arm_sme.load_tile_slice' to load tile slice from memory
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// into tile.
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return tileLoadOp.createOpAndForwardTileId<arm_sme::LoadTileSliceOp>(
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rewriter, loc, tileType, tileLoadOp.getBase(), predicate,
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currentTile, memrefIndices, tileSliceIndex,
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tileLoadOp.getLayout());
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});
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if (failed(forOp))
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return forOp;
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// Replace 'arm_sme.tile_load' with the result.
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rewriter.replaceOp(tileLoadOp, forOp->getResult(0));
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return success();
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}
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};
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/// Lower `arm_sme.tile_load` with mask and non-zero pad.
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///
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/// BEFORE:
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/// ```mlir
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/// %mask = vector.create_mask %num_rows, %num_cols : vector<[4]x[4]xi1>
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/// %tile = arm_sme.tile_load %src[%c0, %c0], %pad, %mask :
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/// memref<?x?xi32>, vector<[4]x[4]xi32>
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/// ```
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///
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/// AFTER:
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/// ```mlir
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/// ...
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/// %pad_1d = vector.splat %pad : vector<[4]xi32>
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/// %tile = scf.for %tile_slice_idx = %c0 to %svl_s step %c1
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/// iter_args(%iter_tile = %init_tile) -> (vector<[4]x[4]xi32>) {
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/// ...
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/// %mask_1d = vector.create_mask <combined_mask> : vector<[4]xi1>
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/// %slice = vector.maskedload %base[%tile_slice_idx, %c0], %mask_1d, %pad_1d
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/// : memref<?x?xi32>, vector<[4]xi1>,
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/// vector<[4]xi32> into vector<[4]xi32>
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/// // Insert slice into tile
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/// %tile_update = arm_sme.move_vector_to_tile_slice
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/// %slice, %iter_tile, %tile_slice_idx :
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/// vector<[4]xi32> into vector<[4]x[4]xi32>
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/// scf.yield %tile_update : vector<[4]x[4]xi32>
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/// }
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/// ```
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struct TileLoadOpWithMaskAndPadNonZeroConversion
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: public OpRewritePattern<arm_sme::TileLoadOp> {
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using OpRewritePattern<arm_sme::TileLoadOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(arm_sme::TileLoadOp tileLoadOp,
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PatternRewriter &rewriter) const override {
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OpBuilder::InsertionGuard g(rewriter);
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auto loc = tileLoadOp.getLoc();
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auto tileType = tileLoadOp.getVectorType();
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auto tileElementType = tileType.getElementType();
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auto maskOp = tileLoadOp.getMask();
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if (!maskOp)
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return rewriter.notifyMatchFailure(
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tileLoadOp, "op has no mask, needs unmasked pattern");
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auto padOp = tileLoadOp.getPadding();
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assert(padOp && "expected padding when masking!");
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auto createMaskOp = maskOp.getDefiningOp<vector::CreateMaskOp>();
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if (!createMaskOp)
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return rewriter.notifyMatchFailure(
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tileLoadOp, "unsupported mask op, only 'vector.create_mask' is "
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"currently supported");
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auto constPadOp = padOp.getDefiningOp<arith::ConstantOp>();
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if (constPadOp &&
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constPadOp.getValue() == rewriter.getZeroAttr(tileElementType))
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return rewriter.notifyMatchFailure(
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tileLoadOp, "op has constant zero pad, needs zero pad pattern");
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auto numRows = createMaskOp.getOperands()[0];
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auto numCols = createMaskOp.getOperands()[1];
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auto numColsI32 = rewriter.create<arith::IndexCastUIOp>(
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loc, rewriter.getI32Type(), numCols);
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// Allocate a new SME tile.
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auto initTile = tileLoadOp.createOpAndForwardTileId<arm_sme::GetTileOp>(
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rewriter, loc, tileType);
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// Create a loop that loads each ZA tile slice from memory.
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auto step = rewriter.create<arith::ConstantIndexOp>(loc, 1);
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auto minTileSlices = rewriter.create<arith::ConstantIndexOp>(
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loc, arm_sme::getSMETileSliceMinNumElts(tileElementType));
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auto vscale =
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rewriter.create<vector::VectorScaleOp>(loc, rewriter.getIndexType());
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auto lowerBound = rewriter.create<arith::ConstantIndexOp>(loc, 0);
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auto numTileSlices =
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rewriter.create<arith::MulIOp>(loc, minTileSlices, vscale);
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auto forOp = rewriter.create<scf::ForOp>(loc, lowerBound, numTileSlices,
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step, ValueRange{initTile});
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rewriter.setInsertionPointToStart(forOp.getBody());
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auto tileSliceIndex = forOp.getInductionVar();
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auto currentTile = forOp.getRegionIterArg(0);
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// Combine masks.
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auto rowIsActive = rewriter.create<arith::CmpIOp>(
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loc, arith::CmpIPredicate::ult, tileSliceIndex, numRows);
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auto rowIsActiveI32 = rewriter.create<arith::ExtSIOp>(
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loc, rewriter.getI32Type(), rowIsActive);
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auto mask = rewriter.create<arith::AndIOp>(loc, rowIsActiveI32, numColsI32);
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auto maskIndex =
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rewriter.create<arith::IndexCastOp>(loc, rewriter.getIndexType(), mask);
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auto predicateType =
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VectorType::get(tileType.getDimSize(1), rewriter.getI1Type(), true);
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auto maskOp1D = rewriter.create<vector::CreateMaskOp>(
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loc, predicateType, maskIndex.getResult());
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auto memrefIndices = getMemrefIndices(
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tileLoadOp.getIndices(), tileLoadOp.getMemRefType().getRank(),
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tileSliceIndex, numTileSlices, loc, rewriter);
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// Splat pad into 1-D vector matching type of tile slice.
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VectorType tileSliceType = VectorType::Builder(tileType).dropDim(0);
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auto pad1DOp = rewriter.create<vector::SplatOp>(loc, tileSliceType, padOp);
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auto loadSlice = rewriter.create<vector::MaskedLoadOp>(
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loc, tileSliceType, tileLoadOp.getBase(), memrefIndices, maskOp1D,
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/*passthru=*/pad1DOp);
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// Create 'arm_sme.move_vector_to_tile_slice' to move slice into tile.
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auto moveSlice =
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tileLoadOp.createOpAndForwardTileId<arm_sme::MoveVectorToTileSliceOp>(
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rewriter, loc, tileType, loadSlice->getResult(0), currentTile,
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tileSliceIndex, tileLoadOp.getLayout());
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rewriter.create<scf::YieldOp>(loc, moveSlice.getResult());
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rewriter.setInsertionPointAfter(forOp);
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// Replace 'arm_sme.tile_load' with the result.
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rewriter.replaceOp(tileLoadOp, forOp.getResult(0));
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return success();
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}
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};
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/// Lower `arm_sme.tile_store` to a loop over the tile slices and store each
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/// slice using `arm_sme.store_tile_slice`.
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///
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/// BEFORE:
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/// ```mlir
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/// arm_sme.tile_store %tile, %dest[%c0, %c0] layout<vertical>
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/// : memref<?x?xi32>, vector<[4]x[4]xi32
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/// ```
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///
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/// AFTER:
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/// ```mlir
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/// %vscale = vector.vscale
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/// %c0 = arith.constant 0 : index
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/// %c1 = arith.constant 1 : index
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/// %min_svl_s = arith.constant 4 : index
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/// %svl_s = arith.muli %min_svl_s, %vscale : index
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/// scf.for %tile_slice_idx = %c0 to %svl_s step %c1 {
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/// arm_sme.store_tile_slice %tile, %tile_slice_idx, %dest[%tile_slice_idx],
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/// layout<vertical> : memref<?x?xi32>, vector<[4]x[4]xi32>
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/// }
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/// ```
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struct TileStoreOpConversion : public OpRewritePattern<arm_sme::TileStoreOp> {
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using OpRewritePattern<arm_sme::TileStoreOp>::OpRewritePattern;
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LogicalResult matchAndRewrite(arm_sme::TileStoreOp tileStoreOp,
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PatternRewriter &rewriter) const override {
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// Create a loop that stores each active ZA tile slice from memory.
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return createLoadStoreForOverTileSlices(
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rewriter, tileStoreOp.getLoc(), tileStoreOp.getVectorType(),
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tileStoreOp.getIndices(), tileStoreOp.getMemRefType().getRank(),
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tileStoreOp.getMask(),
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[&](Value tileSliceIndex, ValueRange memrefIndices, Value predicate) {
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tileStoreOp.replaceWithAndForwardTileId<arm_sme::StoreTileSliceOp>(
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rewriter, tileStoreOp.getValueToStore(), tileSliceIndex,
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predicate, tileStoreOp.getBase(), memrefIndices,
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tileStoreOp.getLayout());
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});
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}
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};
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} // namespace
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void mlir::populateArmSMEToSCFConversionPatterns(RewritePatternSet &patterns) {
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patterns.add<TileLoadOpConversion, TileLoadOpWithMaskAndPadNonZeroConversion,
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TileStoreOpConversion>(patterns.getContext());
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}
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namespace {
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struct ConvertArmSMEToSCFPass
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: public impl::ConvertArmSMEToSCFBase<ConvertArmSMEToSCFPass> {
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void runOnOperation() override {
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RewritePatternSet patterns(&getContext());
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ConversionTarget target(getContext());
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populateArmSMEToSCFConversionPatterns(patterns);
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target.addLegalDialect<arm_sme::ArmSMEDialect, vector::VectorDialect,
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arith::ArithDialect, scf::SCFDialect>();
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target.addIllegalOp<arm_sme::TileLoadOp, arm_sme::TileStoreOp>();
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if (failed(applyPartialConversion(getOperation(), target,
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std::move(patterns))))
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signalPassFailure();
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}
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};
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} // namespace
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std::unique_ptr<Pass> mlir::createConvertArmSMEToSCFPass() {
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return std::make_unique<ConvertArmSMEToSCFPass>();
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}
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