Files
llvm-project/mlir/test/lib/Transforms/TestLinalgMatmulToVector.cpp
Uday Bondhugula a5b9316b24 [MLIR][NFC] applyPatternsGreedily -> applyPatternsAndFoldGreedily
Rename mlir::applyPatternsGreedily -> applyPatternsAndFoldGreedily. The
new name is a more accurate description of the method - it performs
both, application of the specified patterns and folding of all ops in
the op's region irrespective of whether any patterns have been supplied.

Differential Revision: https://reviews.llvm.org/D77478
2020-04-10 12:55:21 +05:30

52 lines
1.8 KiB
C++

//===- TestLinalgMatmulToVector.cpp - Test VectorTransfers lowering -------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include <type_traits>
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Linalg/IR/LinalgOps.h"
#include "mlir/Dialect/Linalg/Transforms/LinalgTransforms.h"
#include "mlir/Dialect/Vector/VectorOps.h"
#include "mlir/Dialect/Vector/VectorTransforms.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/IR/StandardTypes.h"
#include "mlir/Pass/Pass.h"
using namespace mlir;
using namespace mlir::linalg;
using namespace mlir::vector;
namespace {
#include "TestLinalgMatmulToVectorPatterns.h.inc"
struct DeclarativeTransforms
: public PassWrapper<DeclarativeTransforms, FunctionPass> {
void runOnFunction() override {
OwningRewritePatternList patterns;
auto *context = &getContext();
AffineApplyOp::getCanonicalizationPatterns(patterns, context);
AffineMinOp::getCanonicalizationPatterns(patterns, context);
AffineMaxOp::getCanonicalizationPatterns(patterns, context);
AllocOp::getCanonicalizationPatterns(patterns, context);
SubViewOp::getCanonicalizationPatterns(patterns, context);
ViewOp::getCanonicalizationPatterns(patterns, context);
populateWithGenerated(context, &patterns);
applyPatternsAndFoldGreedily(getFunction(), patterns);
}
};
} // end anonymous namespace
namespace mlir {
void registerTestLinalgMatmulToVectorPass() {
PassRegistration<DeclarativeTransforms> pass(
"linalg-matmul-to-vector",
"Test declarative transform patterns for matmul 3-D tiling + promotion"
" + vectorization");
}
} // namespace mlir