228 lines
9.2 KiB
C++
228 lines
9.2 KiB
C++
//===- TestLinalgTransforms.cpp - Test Linalg transformation patterns -----===//
|
|
//
|
|
// 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 logic for testing Linalg transformations.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "mlir/Dialect/Affine/IR/AffineOps.h"
|
|
#include "mlir/Dialect/Linalg/IR/LinalgOps.h"
|
|
#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
|
|
#include "mlir/Dialect/Linalg/Utils/Utils.h"
|
|
#include "mlir/IR/PatternMatch.h"
|
|
#include "mlir/Pass/Pass.h"
|
|
|
|
#include "llvm/ADT/SetVector.h"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::linalg;
|
|
|
|
namespace {
|
|
struct TestLinalgTransforms
|
|
: public PassWrapper<TestLinalgTransforms, FunctionPass> {
|
|
TestLinalgTransforms() = default;
|
|
TestLinalgTransforms(const TestLinalgTransforms &pass) {}
|
|
|
|
void runOnFunction() override;
|
|
|
|
Option<bool> testPatterns{*this, "test-patterns",
|
|
llvm::cl::desc("Test a mixed set of patterns"),
|
|
llvm::cl::init(false)};
|
|
Option<bool> testMatmulToVectorPatterns1dTiling{
|
|
*this, "test-matmul-to-vector-patterns-tile-1d",
|
|
llvm::cl::desc(
|
|
"Test a fused pass that applies patterns from matmul to vectors via "
|
|
"1-d tiling"),
|
|
llvm::cl::init(false)};
|
|
Option<bool> testMatmulToVectorPatterns2dTiling{
|
|
*this, "test-matmul-to-vector-patterns-tile-2d",
|
|
llvm::cl::desc(
|
|
"Test a fused pass that applies patterns from matmul to vectors via "
|
|
"2-d tiling"),
|
|
llvm::cl::init(false)};
|
|
};
|
|
} // end anonymous namespace
|
|
|
|
static void applyPatterns(FuncOp funcOp) {
|
|
MLIRContext *ctx = funcOp.getContext();
|
|
OwningRewritePatternList patterns;
|
|
|
|
//===--------------------------------------------------------------------===//
|
|
// Linalg tiling patterns.
|
|
//===--------------------------------------------------------------------===//
|
|
patterns.insert<LinalgTilingPattern<MatmulOp>>(
|
|
ctx, LinalgTilingOptions().setTileSizes({2000, 3000, 4000}),
|
|
LinalgMarker({"MEM", {}}, "L3"));
|
|
patterns.insert<LinalgTilingPattern<MatmulOp>>(
|
|
ctx, LinalgTilingOptions().setTileSizes({200, 300, 400}),
|
|
LinalgMarker({"L3"}, "L2"));
|
|
patterns.insert<LinalgTilingPattern<MatmulOp>>(
|
|
ctx, LinalgTilingOptions().setTileSizes({20, 30, 40}),
|
|
LinalgMarker({"L2"}, "L1"));
|
|
patterns.insert<LinalgTilingPattern<MatmulOp>>(
|
|
ctx, LinalgTilingOptions().setTileSizes({2, 3, 4}),
|
|
LinalgMarker({"L1"}, "REG"));
|
|
|
|
patterns.insert<LinalgTilingPattern<MatvecOp>>(
|
|
ctx,
|
|
LinalgTilingOptions().setTileSizes({5, 6}).setLoopType(
|
|
LinalgTilingLoopType::ParallelLoops),
|
|
LinalgMarker({}, "L1"));
|
|
|
|
patterns.insert<LinalgTilingPattern<DotOp>>(
|
|
ctx, LinalgTilingOptions().setTileSizes(8000),
|
|
LinalgMarker({"MEM", "L3", "L2", {}}, "REG"));
|
|
|
|
//===--------------------------------------------------------------------===//
|
|
// Linalg tiling and permutation patterns.
|
|
//===--------------------------------------------------------------------===//
|
|
patterns.insert<LinalgTilingPattern<MatmulOp>>(
|
|
ctx,
|
|
LinalgTilingOptions()
|
|
.setTileSizes({2000, 3000, 4000})
|
|
.setInterchange({1, 2, 0}),
|
|
LinalgMarker({"__with_perm__"}, "L2__with_perm__"));
|
|
patterns.insert<LinalgTilingPattern<MatmulOp>>(
|
|
ctx,
|
|
LinalgTilingOptions()
|
|
.setTileSizes({200, 300, 400})
|
|
.setInterchange({1, 0, 2}),
|
|
LinalgMarker({"L2__with_perm__"}, "L1__with_perm__"));
|
|
patterns.insert<LinalgTilingPattern<MatmulOp>>(
|
|
ctx, LinalgTilingOptions().setTileSizes({20, 30, 40}),
|
|
LinalgMarker({"L1__with_perm__"}, "REG__with_perm__"));
|
|
|
|
patterns.insert<LinalgTilingPattern<MatvecOp>>(
|
|
ctx, LinalgTilingOptions().setTileSizes({5, 6}).setInterchange({1, 0}),
|
|
LinalgMarker({"__with_perm__"}, "L1__with_perm__"));
|
|
|
|
//===--------------------------------------------------------------------===//
|
|
// Linalg to loops patterns.
|
|
//===--------------------------------------------------------------------===//
|
|
patterns.insert<LinalgLoweringPattern<DotOp>>(
|
|
ctx,
|
|
/*loweringType=*/LinalgLoweringType::Loops, LinalgMarker({"REG"}));
|
|
|
|
//===--------------------------------------------------------------------===//
|
|
// Linalg to vector contraction patterns.
|
|
//===--------------------------------------------------------------------===//
|
|
patterns.insert<LinalgVectorizationPattern<MatmulOp>,
|
|
LinalgVectorizationPattern<FillOp>,
|
|
LinalgVectorizationPattern<GenericOp>>(
|
|
ctx, LinalgMarker({"VECTORIZE"}));
|
|
|
|
//===--------------------------------------------------------------------===//
|
|
// Linalg generic permutation patterns.
|
|
//===--------------------------------------------------------------------===//
|
|
patterns.insert<LinalgInterchangePattern<GenericOp>>(
|
|
ctx,
|
|
/*interchangeVector=*/ArrayRef<unsigned>{1, 2, 0},
|
|
LinalgMarker({}, "PERMUTED"));
|
|
patterns.insert<LinalgInterchangePattern<IndexedGenericOp>>(
|
|
ctx,
|
|
/*interchangeVector=*/ArrayRef<unsigned>{1, 2, 0},
|
|
LinalgMarker({}, "PERMUTED"));
|
|
|
|
//===--------------------------------------------------------------------===//
|
|
// Linalg subview operands promotion.
|
|
//===--------------------------------------------------------------------===//
|
|
patterns.insert<LinalgPromotionPattern<MatmulOp>>(
|
|
ctx, LinalgPromotionOptions().useFullTileBuffersByDefault(),
|
|
LinalgMarker({"_promote_views_"}, "_views_promoted_"));
|
|
patterns.insert<LinalgPromotionPattern<MatmulOp>>(
|
|
ctx,
|
|
LinalgPromotionOptions()
|
|
.setOperandsToPromote({0})
|
|
.useFullTileBuffersByDefault(),
|
|
LinalgMarker({"_promote_first_view_"}, "_first_view_promoted_"));
|
|
patterns.insert<LinalgPromotionPattern<FillOp>>(
|
|
ctx,
|
|
LinalgPromotionOptions()
|
|
.setOperandsToPromote({0})
|
|
.setUseFullTileBuffers({true})
|
|
.setAlignment(32),
|
|
LinalgMarker({"_promote_views_aligned_"}, "_views_aligned_promoted_"));
|
|
|
|
applyPatternsAndFoldGreedily(funcOp, patterns);
|
|
|
|
// Drop the marker.
|
|
funcOp.walk([](LinalgOp op) {
|
|
op.removeAttr(LinalgTransforms::kLinalgTransformMarker);
|
|
});
|
|
}
|
|
|
|
static OwningRewritePatternList
|
|
getMatmulToVectorCanonicalizationPatterns(MLIRContext *context) {
|
|
OwningRewritePatternList patterns;
|
|
AffineApplyOp::getCanonicalizationPatterns(patterns, context);
|
|
AffineMinOp::getCanonicalizationPatterns(patterns, context);
|
|
AffineMaxOp::getCanonicalizationPatterns(patterns, context);
|
|
AllocOp::getCanonicalizationPatterns(patterns, context);
|
|
SubViewOp::getCanonicalizationPatterns(patterns, context);
|
|
ViewOp::getCanonicalizationPatterns(patterns, context);
|
|
MatmulOp::getCanonicalizationPatterns(patterns, context);
|
|
return patterns;
|
|
}
|
|
|
|
static void fillL1TilingAndMatmulToVectorPatterns(
|
|
MLIRContext *context, StringRef startMarker,
|
|
SmallVectorImpl<OwningRewritePatternList> &patternsVector) {
|
|
patternsVector.emplace_back(LinalgTilingPattern<MatmulOp>(
|
|
context,
|
|
LinalgTilingOptions().setTileSizes({8, 12, 16}).setInterchange({1, 0, 2}),
|
|
LinalgMarker({startMarker}, "L1")));
|
|
|
|
patternsVector.emplace_back(LinalgPromotionPattern<MatmulOp>(
|
|
context, LinalgPromotionOptions().useFullTileBuffersByDefault(),
|
|
LinalgMarker({"L1"}, "VEC")));
|
|
|
|
patternsVector.emplace_back(
|
|
LinalgVectorizationPattern<MatmulOp>(context, LinalgMarker({"VEC"})));
|
|
patternsVector.back()
|
|
.insert<LinalgVectorizationPattern<FillOp>,
|
|
LinalgVectorizationPattern<CopyOp>>(context);
|
|
}
|
|
|
|
/// Apply transformations specified as patterns.
|
|
void TestLinalgTransforms::runOnFunction() {
|
|
if (testPatterns) {
|
|
applyPatterns(getFunction());
|
|
} else {
|
|
SmallVector<OwningRewritePatternList, 4> stage1Patterns;
|
|
if (testMatmulToVectorPatterns1dTiling) {
|
|
fillL1TilingAndMatmulToVectorPatterns(&getContext(), "START",
|
|
stage1Patterns);
|
|
} else if (testMatmulToVectorPatterns2dTiling) {
|
|
stage1Patterns.emplace_back(
|
|
LinalgTilingPattern<MatmulOp>(&getContext(),
|
|
LinalgTilingOptions()
|
|
.setTileSizes({768, 264, 768})
|
|
.setInterchange({1, 2, 0}),
|
|
LinalgMarker({"START"}, "L2")));
|
|
fillL1TilingAndMatmulToVectorPatterns(&getContext(), "L2",
|
|
stage1Patterns);
|
|
}
|
|
OwningRewritePatternList stage2Patterns =
|
|
getMatmulToVectorCanonicalizationPatterns(&getContext());
|
|
applyStagedPatterns(getFunction(), stage1Patterns, stage2Patterns);
|
|
}
|
|
|
|
// Drop the marker.
|
|
getFunction().walk([](LinalgOp op) {
|
|
op.removeAttr(LinalgTransforms::kLinalgTransformMarker);
|
|
});
|
|
}
|
|
|
|
namespace mlir {
|
|
void registerTestLinalgTransforms() {
|
|
PassRegistration<TestLinalgTransforms> testTransformPatternsPass(
|
|
"test-linalg-transform-patterns",
|
|
"Test Linalg transformation patterns by applying them greedily.");
|
|
}
|
|
} // namespace mlir
|