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//===- 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/Bufferization/IR/DstBufferizableOpInterfaceImpl.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 AnalysisState &state) const {
assert(opOperand.get().getType().isa<RankedTensorType>() &&
"only tensor types expected");
return true;
}
bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand,
const AnalysisState &state) const {
assert(opOperand.get().getType().isa<RankedTensorType>() &&
"only tensor types expected");
return false;
}
SmallVector<OpResult> getAliasingOpResult(Operation *op, OpOperand &opOperand,
const AnalysisState &state) const {
return {};
}
LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
const BufferizationOptions &options) const {
auto readOp = cast<vector::TransferReadOp>(op);
assert(readOp.getShapedType().isa<TensorType>() &&
"only tensor types expected");
FailureOr<Value> buffer = getBuffer(rewriter, readOp.getSource(), options);
if (failed(buffer))
return failure();
replaceOpWithNewBufferizedOp<vector::TransferReadOp>(
rewriter, readOp, readOp.getVectorType(), *buffer, readOp.getIndices(),
readOp.getPermutationMap(), readOp.getPadding(), readOp.getMask(),
readOp.getInBoundsAttr());
return success();
}
};
/// Bufferization of vector.transfer_write. Replace with a new
/// vector.transfer_write that operates on a memref.
///
/// Note: DstBufferizableOpInterfaceExternalModel provides many default method
/// implementations for DestinationStyle ops.
struct TransferWriteOpInterface
: public DstBufferizableOpInterfaceExternalModel<TransferWriteOpInterface,
vector::TransferWriteOp> {
LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
const BufferizationOptions &options) 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.
FailureOr<Value> resultBuffer =
getBuffer(rewriter, writeOp.getSource(), options);
if (failed(resultBuffer))
return failure();
rewriter.create<vector::TransferWriteOp>(
writeOp.getLoc(), writeOp.getVector(), *resultBuffer,
writeOp.getIndices(), writeOp.getPermutationMapAttr(),
writeOp.getMask(), writeOp.getInBoundsAttr());
replaceOpWithBufferizedValues(rewriter, op, *resultBuffer);
return success();
}
};
/// Bufferization of vector.gather. Replaced with a new vector.gather that
/// operates on a memref.
struct GatherOpInterface
: public BufferizableOpInterface::ExternalModel<GatherOpInterface,
vector::GatherOp> {
bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand,
const AnalysisState &state) const {
assert(opOperand.get().getType().isa<RankedTensorType>() &&
"only tensor types expected");
return true;
}
bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand,
const AnalysisState &state) const {
assert(opOperand.get().getType().isa<RankedTensorType>() &&
"only tensor types expected");
return false;
}
SmallVector<OpResult> getAliasingOpResult(Operation *op, OpOperand &opOperand,
const AnalysisState &state) const {
return {};
}
LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
const BufferizationOptions &options) const {
auto gatherOp = cast<vector::GatherOp>(op);
assert(gatherOp.getBaseType().isa<TensorType>() &&
"only tensor types expected");
FailureOr<Value> buffer = getBuffer(rewriter, gatherOp.getBase(), options);
if (failed(buffer))
return failure();
replaceOpWithNewBufferizedOp<vector::GatherOp>(
rewriter, gatherOp, gatherOp.getVectorType(), *buffer,
gatherOp.getIndices(), gatherOp.getIndexVec(), gatherOp.getMask(),
gatherOp.getPassThru());
return success();
}
};
} // namespace
} // namespace vector
} // namespace mlir
void mlir::vector::registerBufferizableOpInterfaceExternalModels(
DialectRegistry ®istry) {
registry.addExtension(+[](MLIRContext *ctx, vector::VectorDialect *dialect) {
TransferReadOp::attachInterface<TransferReadOpInterface>(*ctx);
TransferWriteOp::attachInterface<TransferWriteOpInterface>(*ctx);
GatherOp::attachInterface<GatherOpInterface>(*ctx);
});
}
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