llvm-project/mlir/test/lib/Transforms/TestLinalgTransforms.cpp
2020-05-19 22:16:37 +02:00

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