mirror of
https://github.com/intel/llvm.git
synced 2026-02-02 02:00:03 +08:00
This makes getAliasingOpResult symmetric to getAliasingOpOperand. The previous implementation was confusing for users and implemented in such a way only because there are currently no bufferizable ops that have multiple aliasing OpResults. Differential Revision: https://reviews.llvm.org/D119259
129 lines
4.8 KiB
C++
129 lines
4.8 KiB
C++
//===- BufferizableOpInterfaceImpl.cpp - Impl. of BufferizableOpInterface -===//
|
|
//
|
|
// 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/Dialect/Vector/Transforms/BufferizableOpInterfaceImpl.h"
|
|
|
|
#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
|
|
#include "mlir/Dialect/Vector/IR/VectorOps.h"
|
|
#include "mlir/IR/Dialect.h"
|
|
#include "mlir/IR/Operation.h"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::bufferization;
|
|
using namespace mlir::vector;
|
|
|
|
namespace mlir {
|
|
namespace vector {
|
|
namespace {
|
|
|
|
/// Bufferization of vector.transfer_read. Replaced with a new
|
|
/// vector.transfer_read that operates on a memref.
|
|
struct TransferReadOpInterface
|
|
: public BufferizableOpInterface::ExternalModel<TransferReadOpInterface,
|
|
vector::TransferReadOp> {
|
|
bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand,
|
|
const BufferizationState &state) const {
|
|
assert(opOperand.get().getType().isa<RankedTensorType>() &&
|
|
"only tensor types expected");
|
|
return true;
|
|
}
|
|
|
|
bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand,
|
|
const BufferizationState &state) const {
|
|
assert(opOperand.get().getType().isa<RankedTensorType>() &&
|
|
"only tensor types expected");
|
|
return false;
|
|
}
|
|
|
|
SmallVector<OpResult>
|
|
getAliasingOpResult(Operation *op, OpOperand &opOperand,
|
|
const BufferizationState &state) const {
|
|
return {};
|
|
}
|
|
|
|
LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
|
|
const BufferizationState &state) const {
|
|
auto readOp = cast<vector::TransferReadOp>(op);
|
|
assert(readOp.getShapedType().isa<TensorType>() &&
|
|
"only tensor types expected");
|
|
|
|
// TransferReadOp always reads from the bufferized op.source().
|
|
Value buffer =
|
|
*state.getBuffer(rewriter, readOp->getOpOperand(0) /*source*/);
|
|
replaceOpWithNewBufferizedOp<vector::TransferReadOp>(
|
|
rewriter, readOp, readOp.getVectorType(), buffer, readOp.indices(),
|
|
readOp.permutation_map(), readOp.padding(), readOp.mask(),
|
|
readOp.in_boundsAttr());
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// Bufferization of vector.transfer_write. Replace with a new
|
|
/// vector.transfer_write that operates on a memref.
|
|
struct TransferWriteOpInterface
|
|
: public BufferizableOpInterface::ExternalModel<TransferWriteOpInterface,
|
|
vector::TransferWriteOp> {
|
|
bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand,
|
|
const BufferizationState &state) const {
|
|
assert(opOperand.get().getType().isa<TensorType>() &&
|
|
"only tensor types expected");
|
|
return true;
|
|
}
|
|
|
|
bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand,
|
|
const BufferizationState &state) const {
|
|
assert(opOperand.get().getType().isa<TensorType>() &&
|
|
"only tensor types expected");
|
|
return true;
|
|
}
|
|
|
|
SmallVector<OpResult>
|
|
getAliasingOpResult(Operation *op, OpOperand &opOperand,
|
|
const BufferizationState &state) const {
|
|
assert(opOperand.get().getType().isa<TensorType>() &&
|
|
"only tensor types expected");
|
|
return {op->getOpResult(0)};
|
|
}
|
|
|
|
BufferRelation bufferRelation(Operation *op, OpResult opResult,
|
|
const BufferizationState &state) const {
|
|
return BufferRelation::Equivalent;
|
|
}
|
|
|
|
LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
|
|
const BufferizationState &state) const {
|
|
auto writeOp = cast<vector::TransferWriteOp>(op);
|
|
assert(writeOp.getShapedType().isa<TensorType>() &&
|
|
"only tensor types expected");
|
|
|
|
// Create a new transfer_write on buffer that doesn't have a return value.
|
|
// Leave the previous transfer_write to dead code as it still has uses at
|
|
// this point.
|
|
FailureOr<Value> resultBuffer =
|
|
state.getBuffer(rewriter, op->getOpOperand(1) /*source*/);
|
|
if (failed(resultBuffer))
|
|
return failure();
|
|
rewriter.create<vector::TransferWriteOp>(
|
|
writeOp.getLoc(), writeOp.vector(), *resultBuffer, writeOp.indices(),
|
|
writeOp.permutation_mapAttr(), writeOp.in_boundsAttr());
|
|
replaceOpWithBufferizedValues(rewriter, op, *resultBuffer);
|
|
|
|
return success();
|
|
}
|
|
};
|
|
|
|
} // namespace
|
|
} // namespace vector
|
|
} // namespace mlir
|
|
|
|
void mlir::vector::registerBufferizableOpInterfaceExternalModels(
|
|
DialectRegistry ®istry) {
|
|
registry.addOpInterface<TransferReadOp, TransferReadOpInterface>();
|
|
registry.addOpInterface<TransferWriteOp, TransferWriteOpInterface>();
|
|
}
|