torch-mlir/lib/RefBackend/TensorToMemref/LowerStructuralToMemref.cpp

175 lines
6.1 KiB
C++

//===----------------------------------------------------------------------===//
//
// 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 "../PassDetail.h"
#include "npcomp/RefBackend/RefBackend.h"
#include "mlir/Dialect/SCF/SCF.h"
#include "mlir/Dialect/StandardOps/IR/Ops.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Pass/PassRegistry.h"
#include "mlir/Transforms/Bufferize.h"
#include "mlir/Transforms/DialectConversion.h"
#include "npcomp/Dialect/Refback/IR/RefbackOps.h"
using namespace mlir;
using namespace mlir::NPCOMP;
//===----------------------------------------------------------------------===//
// Generic "update the types according to the type converter" patterns.
//
// TODO: These should be upstreamed. There's nothing specific to memref type
// conversion about them.
//===----------------------------------------------------------------------===//
namespace {
// This is a type conversion similar to CallOpSignatureConversion.
class LowerIfOpTypes : public OpConversionPattern<scf::IfOp> {
public:
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(scf::IfOp op, ArrayRef<Value> operands,
ConversionPatternRewriter &rewriter) const override {
SmallVector<Type, 6> newResultTypes;
for (auto type : op.getResultTypes()) {
Type newType = typeConverter->convertType(type);
if (!newType)
return rewriter.notifyMatchFailure(op, "not a 1:1 type conversion");
newResultTypes.push_back(newType);
}
rewriter.updateRootInPlace(op, [&] {
for (auto t : llvm::zip(op.getResults(), newResultTypes))
std::get<0>(t).setType(std::get<1>(t));
});
return success();
}
};
} // namespace
namespace {
// This is a type conversion similar to CallOpSignatureConversion.
class LowerForOpTypes : public OpConversionPattern<scf::ForOp> {
public:
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(scf::ForOp op, ArrayRef<Value> operands,
ConversionPatternRewriter &rewriter) const override {
SmallVector<Type, 6> newResultTypes;
for (auto type : op.getResultTypes()) {
Type newType = typeConverter->convertType(type);
if (!newType)
return rewriter.notifyMatchFailure(op, "not a 1:1 type conversion");
newResultTypes.push_back(newType);
}
rewriter.updateRootInPlace(op, [&] {
for (auto t : llvm::zip(op.getResults(), newResultTypes))
std::get<0>(t).setType(std::get<1>(t));
auto bodyArgs = op.getBody()->getArguments();
for (auto t : llvm::zip(llvm::drop_begin(bodyArgs, 1), newResultTypes))
std::get<0>(t).setType(std::get<1>(t));
});
return success();
}
};
} // namespace
namespace {
// This is a type conversion similar to CallOpSignatureConversion.
class LowerSelectOpTypes : public OpConversionPattern<SelectOp> {
public:
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(SelectOp op, ArrayRef<Value> operands,
ConversionPatternRewriter &rewriter) const override {
SelectOp::Adaptor adaptor(operands);
rewriter.updateRootInPlace(
op, [&] { op.getResult().setType(adaptor.true_value().getType()); });
return success();
}
};
} // namespace
//===----------------------------------------------------------------------===//
// Further lowerings.
//===----------------------------------------------------------------------===//
namespace {
class LowerTensorToMemrefOp : public OpConversionPattern<TensorToMemrefOp> {
public:
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(TensorToMemrefOp op, ArrayRef<Value> operands,
ConversionPatternRewriter &rewriter) const override {
TensorToMemrefOp::Adaptor adaptor(operands);
rewriter.replaceOp(op, adaptor.tensor());
return success();
}
};
} // namespace
namespace {
class LowerTensorLoadOp : public OpConversionPattern<TensorLoadOp> {
public:
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(TensorLoadOp op, ArrayRef<Value> operands,
ConversionPatternRewriter &rewriter) const override {
TensorLoadOp::Adaptor adaptor(operands);
rewriter.replaceOp(op, adaptor.memref());
return success();
}
};
} // namespace
//===----------------------------------------------------------------------===//
// The pass.
//===----------------------------------------------------------------------===//
namespace {
class LowerStructuralToMemref
: public LowerStructuralToMemrefBase<LowerStructuralToMemref> {
void runOnOperation() {
auto func = getOperation();
auto *context = &getContext();
BufferizeTypeConverter typeConverter;
OwningRewritePatternList patterns;
ConversionTarget target(*context);
// All ops whose results are not tensor types are legal.
target.markUnknownOpDynamicallyLegal([](Operation *op) {
return llvm::all_of(op->getResultTypes(),
[](Type type) { return !type.isa<TensorType>(); });
});
populateFuncOpTypeConversionPattern(patterns, context, typeConverter);
target.addDynamicallyLegalOp<mlir::FuncOp>([&](mlir::FuncOp op) {
return typeConverter.isSignatureLegal(op.getType()) &&
typeConverter.isLegal(&op.getBody());
});
patterns.insert<LowerSelectOpTypes>(typeConverter, context);
patterns.insert<LowerIfOpTypes>(typeConverter, context);
patterns.insert<LowerForOpTypes>(typeConverter, context);
patterns.insert<LowerTensorToMemrefOp>(typeConverter, context);
patterns.insert<LowerTensorLoadOp>(typeConverter, context);
target.addIllegalOp<TensorToMemrefOp>();
if (failed(applyFullConversion(func, target, patterns)))
return signalPassFailure();
}
};
} // namespace
std::unique_ptr<OperationPass<FuncOp>>
mlir::NPCOMP::createLowerStructuralToMemrefPass() {
return std::make_unique<LowerStructuralToMemref>();
}