forked from OSchip/llvm-project
126 lines
4.7 KiB
C++
126 lines
4.7 KiB
C++
//===- Bufferize.cpp - Bufferization utilities ----------------------------===//
|
|
//
|
|
// 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 "mlir/Transforms/Bufferize.h"
|
|
#include "PassDetail.h"
|
|
#include "mlir/Dialect/MemRef/IR/MemRef.h"
|
|
#include "mlir/IR/Operation.h"
|
|
#include "mlir/Transforms/Passes.h"
|
|
|
|
using namespace mlir;
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// BufferizeTypeConverter
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static Value materializeTensorLoad(OpBuilder &builder, TensorType type,
|
|
ValueRange inputs, Location loc) {
|
|
assert(inputs.size() == 1);
|
|
assert(inputs[0].getType().isa<BaseMemRefType>());
|
|
return builder.create<memref::TensorLoadOp>(loc, type, inputs[0]);
|
|
}
|
|
|
|
/// Registers conversions into BufferizeTypeConverter
|
|
BufferizeTypeConverter::BufferizeTypeConverter() {
|
|
// Keep all types unchanged.
|
|
addConversion([](Type type) { return type; });
|
|
// Convert RankedTensorType to MemRefType.
|
|
addConversion([](RankedTensorType type) -> Type {
|
|
return MemRefType::get(type.getShape(), type.getElementType());
|
|
});
|
|
// Convert UnrankedTensorType to UnrankedMemRefType.
|
|
addConversion([](UnrankedTensorType type) -> Type {
|
|
return UnrankedMemRefType::get(type.getElementType(), 0);
|
|
});
|
|
addArgumentMaterialization(materializeTensorLoad);
|
|
addSourceMaterialization(materializeTensorLoad);
|
|
addTargetMaterialization([](OpBuilder &builder, BaseMemRefType type,
|
|
ValueRange inputs, Location loc) -> Value {
|
|
assert(inputs.size() == 1);
|
|
assert(inputs[0].getType().isa<TensorType>());
|
|
return builder.create<memref::BufferCastOp>(loc, type, inputs[0]);
|
|
});
|
|
}
|
|
|
|
void mlir::populateBufferizeMaterializationLegality(ConversionTarget &target) {
|
|
target.addLegalOp<memref::TensorLoadOp, memref::BufferCastOp>();
|
|
}
|
|
|
|
namespace {
|
|
// In a finalizing bufferize conversion, we know that all tensors have been
|
|
// converted to memrefs, thus, this op becomes an identity.
|
|
class BufferizeTensorLoadOp : public OpConversionPattern<memref::TensorLoadOp> {
|
|
public:
|
|
using OpConversionPattern::OpConversionPattern;
|
|
LogicalResult
|
|
matchAndRewrite(memref::TensorLoadOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const override {
|
|
rewriter.replaceOp(op, adaptor.memref());
|
|
return success();
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
namespace {
|
|
// In a finalizing bufferize conversion, we know that all tensors have been
|
|
// converted to memrefs, thus, this op becomes an identity.
|
|
class BufferizeCastOp : public OpConversionPattern<memref::BufferCastOp> {
|
|
public:
|
|
using OpConversionPattern::OpConversionPattern;
|
|
LogicalResult
|
|
matchAndRewrite(memref::BufferCastOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const override {
|
|
rewriter.replaceOp(op, adaptor.tensor());
|
|
return success();
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
void mlir::populateEliminateBufferizeMaterializationsPatterns(
|
|
BufferizeTypeConverter &typeConverter, RewritePatternSet &patterns) {
|
|
patterns.add<BufferizeTensorLoadOp, BufferizeCastOp>(typeConverter,
|
|
patterns.getContext());
|
|
}
|
|
|
|
namespace {
|
|
struct FinalizingBufferizePass
|
|
: public FinalizingBufferizeBase<FinalizingBufferizePass> {
|
|
using FinalizingBufferizeBase<
|
|
FinalizingBufferizePass>::FinalizingBufferizeBase;
|
|
|
|
void runOnFunction() override {
|
|
auto func = getFunction();
|
|
auto *context = &getContext();
|
|
|
|
BufferizeTypeConverter typeConverter;
|
|
RewritePatternSet patterns(context);
|
|
ConversionTarget target(*context);
|
|
|
|
populateEliminateBufferizeMaterializationsPatterns(typeConverter, patterns);
|
|
|
|
// If all result types are legal, and all block arguments are legal (ensured
|
|
// by func conversion above), then all types in the program are legal.
|
|
//
|
|
// We also check that the operand types are legal to avoid creating invalid
|
|
// IR. For example, this prevents
|
|
// populateEliminateBufferizeMaterializationsPatterns from updating the
|
|
// types of the operands to a return op without updating the enclosing
|
|
// function.
|
|
target.markUnknownOpDynamicallyLegal(
|
|
[&](Operation *op) { return typeConverter.isLegal(op); });
|
|
|
|
if (failed(applyFullConversion(func, target, std::move(patterns))))
|
|
signalPassFailure();
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
std::unique_ptr<FunctionPass> mlir::createFinalizingBufferizePass() {
|
|
return std::make_unique<FinalizingBufferizePass>();
|
|
}
|