Files
clang-p2996/mlir/lib/Analysis/TestParallelismDetection.cpp
River Riddle 4bfae66d70 Refactor the 'walk' methods for operations.
This change refactors and cleans up the implementation of the operation walk methods. After this refactoring is that the explicit template parameter for the operation type is no longer needed for the explicit op walks. For example:

    op->walk<AffineForOp>([](AffineForOp op) { ... });

is now accomplished via:

    op->walk([](AffineForOp op) { ... });

PiperOrigin-RevId: 266209552
2019-08-29 13:04:50 -07:00

58 lines
1.8 KiB
C++

//===- ParallelismDetection.cpp - Parallelism Detection pass ------------*-===//
//
// Copyright 2019 The MLIR Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
//
// This file implements a pass to detect parallel affine 'affine.for' ops.
//
//===----------------------------------------------------------------------===//
#include "mlir/Analysis/Passes.h"
#include "mlir/Analysis/Utils.h"
#include "mlir/Dialect/AffineOps/AffineOps.h"
#include "mlir/IR/Builders.h"
#include "mlir/Pass/Pass.h"
using namespace mlir;
namespace {
struct TestParallelismDetection
: public FunctionPass<TestParallelismDetection> {
void runOnFunction() override;
};
} // end anonymous namespace
FunctionPassBase *mlir::createParallelismDetectionTestPass() {
return new TestParallelismDetection();
}
// Walks the function and emits a note for all 'affine.for' ops detected as
// parallel.
void TestParallelismDetection::runOnFunction() {
FuncOp f = getFunction();
OpBuilder b(f.getBody());
f.walk([&](AffineForOp forOp) {
if (isLoopParallel(forOp))
forOp.emitRemark("parallel loop");
else
forOp.emitRemark("sequential loop");
});
}
static PassRegistration<TestParallelismDetection>
pass("test-detect-parallel", "Test parallelism detection ");