eaa52750ce
After removing the last LinalgOps that have no region attached we can verify there is a region. The patch performs the following changes: - Move the SingleBlockImplicitTerminator trait further up the the structured op base class. - Adapt the LinalgOp verification since the trait only check if there is 0 or 1 block. - Introduce a getBlock method on the LinalgOp interface. - Access the LinalgOp body using either getBlock() or getBody() if the concrete operation type is known. This patch is a follow up to https://reviews.llvm.org/D111233. Reviewed By: nicolasvasilache Differential Revision: https://reviews.llvm.org/D111393
88 lines
3.3 KiB
C++
88 lines
3.3 KiB
C++
//===- Generalization.cpp - linalg named ops to generic ops --------------===//
|
|
//
|
|
// 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 the Linalg generalization pass. It converts named
|
|
// Linalg ops to linalg.generic ops.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "PassDetail.h"
|
|
#include "mlir/Dialect/Linalg/IR/LinalgOps.h"
|
|
#include "mlir/Dialect/Linalg/Passes.h"
|
|
#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
|
|
#include "mlir/IR/AffineMap.h"
|
|
#include "mlir/IR/Attributes.h"
|
|
#include "mlir/IR/Builders.h"
|
|
#include "mlir/IR/ImplicitLocOpBuilder.h"
|
|
#include "mlir/IR/PatternMatch.h"
|
|
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
|
|
#include "llvm/ADT/SmallVector.h"
|
|
#include "llvm/Support/Debug.h"
|
|
|
|
#define DEBUG_TYPE "linalg-generalization"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::linalg;
|
|
|
|
LogicalResult mlir::linalg::generalizeNamedOpPrecondition(Operation *op) {
|
|
LinalgOp namedOp = dyn_cast<LinalgOp>(op);
|
|
// Check if the operation is a LinalgOp but not a GenericOp.
|
|
if (!namedOp || isa<GenericOp>(op))
|
|
return failure();
|
|
// Check if the operation has a region builder.
|
|
if (!namedOp.getRegionBuilder())
|
|
return failure();
|
|
return success();
|
|
}
|
|
|
|
GenericOp mlir::linalg::generalizeNamedOp(PatternRewriter &rewriter,
|
|
LinalgOp namedOp) {
|
|
SmallVector<Value> inputOperands = namedOp.getInputOperands();
|
|
SmallVector<Value> outputOperands = namedOp.getOutputOperands();
|
|
SmallVector<AffineMap> indexingMaps = namedOp.getIndexingMaps();
|
|
SmallVector<StringRef> iterators = llvm::to_vector<4>(
|
|
namedOp.iterator_types().getAsValueRange<StringAttr>());
|
|
SmallVector<RankedTensorType> resultTypes = namedOp.getOutputTensorTypes();
|
|
SmallVector<Type> types(resultTypes.begin(), resultTypes.end());
|
|
|
|
// All named ops have a region attached that can be inlined.
|
|
assert(namedOp->getNumRegions() == 1 &&
|
|
"expect named op to have one region attached");
|
|
GenericOp genericOp =
|
|
rewriter.create<GenericOp>(namedOp.getLoc(), types, inputOperands,
|
|
outputOperands, indexingMaps, iterators);
|
|
rewriter.inlineRegionBefore(namedOp->getRegion(0), genericOp.region(),
|
|
genericOp.region().begin());
|
|
return genericOp;
|
|
}
|
|
|
|
namespace {
|
|
|
|
struct LinalgGeneralizationPass
|
|
: public LinalgGeneralizationBase<LinalgGeneralizationPass> {
|
|
void runOnFunction() override;
|
|
};
|
|
|
|
} // namespace
|
|
|
|
void LinalgGeneralizationPass::runOnFunction() {
|
|
FuncOp func = getFunction();
|
|
RewritePatternSet patterns(&getContext());
|
|
populateLinalgNamedOpsGeneralizationPatterns(patterns);
|
|
(void)applyPatternsAndFoldGreedily(func.getBody(), std::move(patterns));
|
|
}
|
|
|
|
void mlir::linalg::populateLinalgNamedOpsGeneralizationPatterns(
|
|
RewritePatternSet &patterns, LinalgTransformationFilter marker) {
|
|
patterns.add<LinalgGeneralizationPattern>(patterns.getContext(), marker);
|
|
}
|
|
|
|
std::unique_ptr<OperationPass<FuncOp>> mlir::createLinalgGeneralizationPass() {
|
|
return std::make_unique<LinalgGeneralizationPass>();
|
|
}
|