Files
clang-p2996/mlir/test/lib/Transforms/TestVectorTransforms.cpp
Nicolas Vasilache ad38e49806 Uniformize Vector transforms as patterns on the model of Linalg - NFC
This reorganizes the vector transformations to be more easily testable as patterns and more easily composable into fused passes in the future.

PiperOrigin-RevId: 284817474
2019-12-10 11:54:33 -08:00

47 lines
1.6 KiB
C++

//===- TestVectorToVectorConversion.cpp - Test VectorTransfers lowering ---===//
//
// 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.
// =============================================================================
#include <type_traits>
#include "mlir/Dialect/StandardOps/Ops.h"
#include "mlir/Dialect/VectorOps/VectorOps.h"
#include "mlir/Dialect/VectorOps/VectorTransforms.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Pass/Pass.h"
using namespace mlir;
using namespace mlir::vector;
namespace {
#include "TestVectorTransformPatterns.h.inc"
struct TestVectorToVectorConversion
: public FunctionPass<TestVectorToVectorConversion> {
void runOnFunction() override {
OwningRewritePatternList patterns;
auto *context = &getContext();
populateWithGenerated(context, &patterns);
populateVectorToVectorCanonicalizationPatterns(patterns, context);
applyPatternsGreedily(getFunction(), patterns);
}
};
} // end anonymous namespace
static PassRegistration<TestVectorToVectorConversion>
pass("test-vector-to-vector-conversion",
"Test conversion patterns between ops in the vector dialect");