llvm-project/mlir/test/lib/Dialect/Linalg/TestLinalgTransforms.cpp
Mahesh Ravishankar da8a8e9280 [mlir][Linalg] Move patterns to remove dead arguments and results out of canonicalization.
The patterns to remove dead arguments and results of `linalg.generic`
operations are not necessarily canonicalizations. Instead a new entry
point `populateEraseUnusedOperandsAndResults` is added to allow using
these patterns when needed. The transformations that rely on this
pattern for cleanup now include these patterns explicitly.

Differential Revision: https://reviews.llvm.org/D138085
2022-11-16 16:00:43 +00:00

217 lines
8.7 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/Arith/IR/Arith.h"
#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/Dialect/Linalg/IR/Linalg.h"
#include "mlir/Dialect/Linalg/Passes.h"
#include "mlir/Dialect/Linalg/Transforms/HoistPadding.h"
#include "mlir/Dialect/Linalg/Transforms/Hoisting.h"
#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
#include "mlir/Dialect/Linalg/Utils/Utils.h"
#include "mlir/Dialect/Vector/IR/VectorOps.h"
#include "mlir/Pass/PassManager.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
#include "llvm/ADT/SmallVector.h"
using namespace mlir;
using namespace mlir::linalg;
namespace {
struct TestLinalgTransforms
: public PassWrapper<TestLinalgTransforms, OperationPass<func::FuncOp>> {
MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestLinalgTransforms)
TestLinalgTransforms() = default;
TestLinalgTransforms(const TestLinalgTransforms &pass) : PassWrapper(pass) {}
void getDependentDialects(DialectRegistry &registry) const override {
// clang-format off
registry.insert<AffineDialect,
bufferization::BufferizationDialect,
memref::MemRefDialect,
scf::SCFDialect,
linalg::LinalgDialect,
vector::VectorDialect,
gpu::GPUDialect>();
// clang-format on
}
StringRef getArgument() const final {
return "test-linalg-transform-patterns";
}
StringRef getDescription() const final {
return "Test Linalg transformation patterns by applying them greedily.";
}
void runOnOperation() override;
Option<bool> testPatterns{*this, "test-patterns",
llvm::cl::desc("Test a mixed set of patterns"),
llvm::cl::init(false)};
Option<bool> testVectorTransferForwardingPatterns{
*this, "test-vector-transfer-forwarding-patterns",
llvm::cl::desc(
"Test a fused pass that forwards memref.copy to vector.transfer"),
llvm::cl::init(false)};
Option<bool> testGenericToVectorPattern{
*this, "test-linalg-to-vector-patterns",
llvm::cl::desc("Test a set of patterns that rewrite a linalg contraction "
"in vector.contract form"),
llvm::cl::init(false)};
Option<bool> testTransformPadTensor{
*this, "test-transform-pad-tensor",
llvm::cl::desc("Test transform pad tensor by copying with generic ops"),
llvm::cl::init(false)};
Option<bool> testGeneralizePadTensor{
*this, "test-generalize-pad-tensor",
llvm::cl::desc("Test transform pad tensor by copying with generic ops"),
llvm::cl::init(false)};
Option<bool> testSwapSubTensorPadTensor{
*this, "test-swap-subtensor-padtensor",
llvm::cl::desc("Test rewrite of subtensor(tensor.pad) into "
"tensor.pad(subtensor)"),
llvm::cl::init(false)};
ListOption<int64_t> peeledLoops{
*this, "peeled-loops",
llvm::cl::desc("Loops to be peeled when test-tile-pattern")};
ListOption<int64_t> tileSizes{
*this, "tile-sizes",
llvm::cl::desc("Linalg tile sizes for test-tile-pattern")};
Option<bool> skipPartial{
*this, "skip-partial",
llvm::cl::desc("Skip loops inside partial iterations during peeling"),
llvm::cl::init(false)};
Option<std::string> loopType{
*this, "loop-type",
llvm::cl::desc("Specify the type of loops to generate: for, parallel or "
"tiled_loop"),
llvm::cl::init("for")};
Option<bool> testBubbleUpExtractSliceOpPattern{
*this, "test-bubble-up-extract-slice-op-pattern",
llvm::cl::desc("Test rewrite of linalgOp + extract_slice into "
"extract_slice + linalgOp"),
llvm::cl::init(false)};
Option<bool> testSwapExtractSliceWithFill{
*this, "test-swap-extract-slice-with-fill-pattern",
llvm::cl::desc(
"Test patterns to swap tensor.extract_slice(linalg.fill())"),
llvm::cl::init(false)};
Option<bool> testEraseUnusedOperandsAndResults{
*this, "test-erase-unused-operands-and-results",
llvm::cl::desc("Test patterns to erase unused operands and results"),
llvm::cl::init(false)};
};
} // namespace
static void applyPatterns(func::FuncOp funcOp) {
MLIRContext *ctx = funcOp.getContext();
RewritePatternSet patterns(ctx);
//===--------------------------------------------------------------------===//
// Linalg distribution patterns.
//===--------------------------------------------------------------------===//
LinalgLoopDistributionOptions distributionOptions;
//===--------------------------------------------------------------------===//
// Linalg to vector contraction patterns.
//===--------------------------------------------------------------------===//
patterns.add<CopyVectorizationPattern>(ctx);
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
static void applyVectorTransferForwardingPatterns(func::FuncOp funcOp) {
RewritePatternSet forwardPattern(funcOp.getContext());
forwardPattern.add<LinalgCopyVTRForwardingPattern>(funcOp.getContext());
forwardPattern.add<LinalgCopyVTWForwardingPattern>(funcOp.getContext());
(void)applyPatternsAndFoldGreedily(funcOp, std::move(forwardPattern));
}
static void applyLinalgToVectorPatterns(func::FuncOp funcOp) {
RewritePatternSet patterns(funcOp.getContext());
auto *ctx = funcOp.getContext();
patterns.add<CopyVectorizationPattern>(ctx);
populatePadOpVectorizationPatterns(patterns);
populateConvolutionVectorizationPatterns(patterns);
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
static void applyPadTensorToGenericPatterns(func::FuncOp funcOp) {
RewritePatternSet patterns(funcOp.getContext());
patterns.add<PadOpTransformationPattern>(funcOp.getContext());
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
static void applyGeneralizePadTensorPatterns(func::FuncOp funcOp) {
RewritePatternSet patterns(funcOp.getContext());
patterns.add<GeneralizePadOpPattern>(funcOp.getContext());
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
static void applyExtractSliceOfPadTensorSwapPattern(func::FuncOp funcOp) {
RewritePatternSet patterns(funcOp.getContext());
patterns.add<ExtractSliceOfPadTensorSwapPattern>(funcOp.getContext());
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
static void applyBubbleUpExtractSliceOpPattern(func::FuncOp funcOp) {
RewritePatternSet patterns(funcOp.getContext());
populateBubbleUpExtractSliceOpPatterns(patterns);
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
static void applySwapExtractSliceWithFillPattern(func::FuncOp funcOp) {
RewritePatternSet patterns(funcOp.getContext());
populateSwapExtractSliceWithFillPatterns(patterns);
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
static void applyEraseUnusedOperandsAndResultsPatterns(func::FuncOp funcOp) {
RewritePatternSet patterns(funcOp.getContext());
populateEraseUnusedOperandsAndResultsPatterns(patterns);
(void)applyPatternsAndFoldGreedily(funcOp, std::move(patterns));
}
/// Apply transformations specified as patterns.
void TestLinalgTransforms::runOnOperation() {
if (testPatterns)
return applyPatterns(getOperation());
if (testVectorTransferForwardingPatterns)
return applyVectorTransferForwardingPatterns(getOperation());
if (testGenericToVectorPattern)
return applyLinalgToVectorPatterns(getOperation());
if (testTransformPadTensor)
return applyPadTensorToGenericPatterns(getOperation());
if (testGeneralizePadTensor)
return applyGeneralizePadTensorPatterns(getOperation());
if (testSwapSubTensorPadTensor)
return applyExtractSliceOfPadTensorSwapPattern(getOperation());
if (testBubbleUpExtractSliceOpPattern)
return applyBubbleUpExtractSliceOpPattern(getOperation());
if (testSwapExtractSliceWithFill)
return applySwapExtractSliceWithFillPattern(getOperation());
if (testEraseUnusedOperandsAndResults)
return applyEraseUnusedOperandsAndResultsPatterns(getOperation());
}
namespace mlir {
namespace test {
void registerTestLinalgTransforms() {
PassRegistration<TestLinalgTransforms>();
}
} // namespace test
} // namespace mlir