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[mlir][bufferize][NFC] Implement BufferizableOpInterface on bufferization ops directly 

No longer go through an external model. Also put BufferizableOpInterface into the same build target as the BufferizationDialect. This allows for some code reuse between BufferizationOps canonicalizers and BufferizableOpInterface implementations.

Differential Revision: https://reviews.llvm.org/D117987
This commit is contained in:
Matthias Springer 2022-01-25 00:51:41 +09:00
parent b8c7cdcc81
commit b00ee46b5e
17 changed files with 198 additions and 286 deletions
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1
mlir/include/mlir/Dialect/Bufferization/IR/Bufferization.h
View File

@ -10,6 +10,7 @@
#define MLIR_DIALECT_BUFFERIZATION_IR_BUFFERIZATION_H_
#include "mlir/Dialect/Bufferization/IR/AllocationOpInterface.h"
#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"

25
mlir/include/mlir/Dialect/Bufferization/IR/BufferizationInterfaceImpl.h
View File

@ -1,25 +0,0 @@
//===- BufferizationInterfaceImpl.h - Bufferization Impl. of Op Interface -===//
//
// 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
//
//===----------------------------------------------------------------------===//
#ifndef MLIR_DIALECT_BUFFERIZATION_IR_BUFFERIZATIONINTERFACEIMPL_H_
#define MLIR_DIALECT_BUFFERIZATION_IR_BUFFERIZATIONINTERFACEIMPL_H_
namespace mlir {
class DialectRegistry;
namespace bufferization {
namespace bufferization_ext {
void registerBufferizableOpInterfaceExternalModels(DialectRegistry &registry);
} // namespace bufferization_ext
} // namespace bufferization
} // namespace mlir
#endif // MLIR_DIALECT_BUFFERIZATION_IR_BUFFERIZATIONINTERFACEIMPL_H_

95
mlir/include/mlir/Dialect/Bufferization/IR/BufferizationOps.td
View File

@ -10,6 +10,7 @@
#define BUFFERIZATION_OPS
include "mlir/Dialect/Bufferization/IR/AllocationOpInterface.td"
include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.td"
include "mlir/Dialect/Bufferization/IR/BufferizationBase.td"
include "mlir/Interfaces/SideEffectInterfaces.td"
include "mlir/Interfaces/CopyOpInterface.td"
@ -64,11 +65,14 @@ def Bufferization_CloneOp : Bufferization_Op<"clone", [
// ToTensorOp
//===----------------------------------------------------------------------===//
def Bufferization_ToTensorOp : Bufferization_Op<"to_tensor",
[SameOperandsAndResultShape, SameOperandsAndResultElementType,
TypesMatchWith<"result type matches tensor equivalent of 'memref'",
"memref", "result",
"memref::getTensorTypeFromMemRefType($_self)">]> {
def Bufferization_ToTensorOp : Bufferization_Op<"to_tensor", [
BufferizableOpInterface,
SameOperandsAndResultShape,
SameOperandsAndResultElementType,
TypesMatchWith<"result type matches tensor equivalent of 'memref'",
"memref", "result",
"memref::getTensorTypeFromMemRefType($_self)">
]> {
let summary = "memref to tensor operation";
let description = [{
Create a tensor from a memref, making an independent copy of the element
@ -110,6 +114,35 @@ def Bufferization_ToTensorOp : Bufferization_Op<"to_tensor",
return resultType.cast<TensorType>();
return {};
}
//===------------------------------------------------------------------===//
// BufferizableOpInterface implementation
//===------------------------------------------------------------------===//
// ToTensorOp conceptually loads a tensor from a memory location. The
// One-Shot analysis has no information about the memref that is loaded from
// by ToTensorOp. We have to assume that the loaded tensor may after
// bufferization potentially alias with any other bufferized tensor. Since
// ToTensorOp and ToMemrefOp have no aliasing OpOperand/OpResult pairs, this
// cannot be encoded directly in the analysis. However, declaring ToTensorOp
// results as not writable enforces a buffer copy and has the same effect.
LogicalResult bufferize(RewriterBase &rewriter,
const BufferizationState &state) const {
// to_tensor cannot be bufferized. However, other ops that are using
// to_tensor's result will eventually be bufferized. At that point, they
// will start using to_tensor's memref operand. Once all users of
// to_tensor are bufferized, the op will not have any users anymore and
// DCE away. In case of partial bufferization, to_memref(to_tensor(x))
// constructs may be left over. These are folded by the canonicalizer or
// FinalizingBufferize.
return failure();
}
bool isWritable(Value value, const BufferizationState &state) const {
// It is unknown whether the memref operand is writable or not.
return false;
}
}];
let assemblyFormat = "$memref attr-dict `:` type($memref)";
@ -123,11 +156,15 @@ def Bufferization_ToTensorOp : Bufferization_Op<"to_tensor",
// ToMemrefOp
//===----------------------------------------------------------------------===//
def Bufferization_ToMemrefOp : Bufferization_Op<"to_memref",
[SameOperandsAndResultShape, SameOperandsAndResultElementType, NoSideEffect,
TypesMatchWith<"type of 'tensor' is the tensor equivalent of 'memref'",
"memref", "tensor",
"memref::getTensorTypeFromMemRefType($_self)">]> {
def Bufferization_ToMemrefOp : Bufferization_Op<"to_memref", [
BufferizableOpInterface,
SameOperandsAndResultShape,
SameOperandsAndResultElementType,
NoSideEffect,
TypesMatchWith<"type of 'tensor' is the tensor equivalent of 'memref'",
"memref", "tensor",
"memref::getTensorTypeFromMemRefType($_self)">
]> {
let summary = "tensor to memref cast operation";
let description = [{
Casts a tensor to a memref.
@ -150,6 +187,44 @@ def Bufferization_ToMemrefOp : Bufferization_Op<"to_memref",
// This op is fully verified by traits.
let verifier = ?;
let extraClassDeclaration = [{
//===------------------------------------------------------------------===//
// BufferizableOpInterface implementation
//===------------------------------------------------------------------===//
// Note: ToMemrefOp / ToTensorOp are temporary ops that are inserted at the
// bufferization boundary. When One-Shot bufferization is complete, there
// should be no such ops left over. If `allowUnknownOps` (or after running a
// partial bufferization pass), such ops may be part of the resulting IR,
// but such IR may no longer be analyzable by One-Shot analysis.
bool bufferizesToMemoryRead(OpOperand &opOperand,
const BufferizationState &state) const {
// It is unknown whether the resulting memref will be read or not.
return true;
}
bool bufferizesToMemoryWrite(OpOperand &opOperand,
const BufferizationState &state) const {
// It is unknown whether the resulting MemRef will be written or not.
return true;
}
bool mustBufferizeInPlace(OpOperand &opOperand,
const BufferizationState &state) const {
// ToMemrefOps always bufferize inplace.
return true;
}
OpResult getAliasingOpResult(OpOperand &opOperand,
const BufferizationState &state) const {
return OpResult();
}
LogicalResult bufferize(RewriterBase &rewriter,
const BufferizationState &state);
}];
let assemblyFormat = "$tensor attr-dict `:` type($memref)";
let hasFolder = 1;

127
mlir/lib/Dialect/Bufferization/IR/BufferizationInterfaceImpl.cpp
View File

@ -1,127 +0,0 @@
//===- BufferizationInterfaceImpl.cpp - Bufferization Impl. of Interface --===//
//
// 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/Bufferization/IR/BufferizationInterfaceImpl.h"
#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/IR/Dialect.h"
#include "mlir/IR/Operation.h"
using namespace mlir;
using namespace mlir::bufferization;
namespace mlir {
namespace bufferization {
namespace bufferization_ext {
// TODO: These ops should implement BufferizableOpInterface.
/// Bufferization of bufferization.to_memref. to_memref(to_tensor(x)) is folded
/// to x. Other to_memref ops are ignored during bufferization.
///
/// ToMemrefOp casts a tensor into a memref. The resulting memref is the memory
/// location of the incoming tensor once it will be bufferized. In the anlysis,
/// the incoming tensor is assumed to bufferize to a memory read and to an
/// inplace memory write, since it is unknown what will happen to the resulting
/// memref.
///
/// Note: ToMemrefOp / ToTensorOp are temporary ops that are inserted at the
/// bufferization boundary. When bufferization is complete, there should be no
/// such ops left over. If `allowUnknownOps`, such ops may be part of the
/// resulting IR, but such IR may no longer be bufferizable by Comprehensive
/// Bufferize.
struct ToMemrefOpInterface
: public BufferizableOpInterface::ExternalModel<ToMemrefOpInterface,
bufferization::ToMemrefOp> {
bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand,
const BufferizationState &state) const {
// It is unknown whether the resulting memref will be read or not.
return true;
}
bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand,
const BufferizationState &state) const {
// It is unknown whether the resulting MemRef will be written or not.
return true;
}
bool mustBufferizeInPlace(Operation *op, OpOperand &opOperand,
const BufferizationState &state) const {
// ToMemrefOps always bufferize inplace.
return true;
}
OpResult getAliasingOpResult(Operation *op, OpOperand &opOperand,
const BufferizationState &state) const {
return OpResult();
}
LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
const BufferizationState &state) const {
auto toMemrefOp = cast<bufferization::ToMemrefOp>(op);
// Fold to_memref(to_tensor(x)) to x. Insert a cast if necessary.
if (auto toTensorOp =
toMemrefOp.tensor().getDefiningOp<bufferization::ToTensorOp>()) {
Value buffer = toTensorOp.memref();
// Insert cast in case to_memref(to_tensor(x))'s type is different from
// x's type.
if (toTensorOp.memref().getType() != toMemrefOp.getType()) {
assert(memref::CastOp::areCastCompatible(buffer.getType(),
toMemrefOp.getType()) &&
"ToMemrefOp::bufferize : cast incompatible");
buffer = rewriter.create<memref::CastOp>(toMemrefOp.getLoc(), buffer,
toMemrefOp.getType());
}
replaceOpWithBufferizedValues(rewriter, toMemrefOp, buffer);
return success();
}
return failure();
}
};
/// Bufferization of bufferization.to_tensor. Such ops cannot be bufferized.
/// However, other ops that are using to_tensor's result will eventually be
/// bufferized. At that point, they will start using to_tensor's memref operand.
/// Once all users of to_tensor are bufferized, the op will not have any users
/// anymore and DCE away.
///
/// ToTensorOp conceptually loads a tensor from a memory location. The analysis
/// has no information about the memref that is loaded from by ToTensorOp. We
/// have to assume that the loaded tensor may after bufferization potentially
/// alias with any other bufferized tensor. Since ToTensorOp and ToMemrefOp have
/// no aliasing OpOperand/OpResult pairs, this cannot be encoded directly in the
/// analysis. However, declaring ToTensorOp results as not writable enforces a
/// buffer copy and has the same effect.
struct ToTensorOpInterface
: public BufferizableOpInterface::ExternalModel<ToTensorOpInterface,
bufferization::ToTensorOp> {
LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
const BufferizationState &state) const {
return failure();
}
bool isWritable(Operation *op, Value value,
const BufferizationState &state) const {
// It is unknown whether the memref operand is writable or not.
return false;
}
};
} // namespace bufferization_ext
} // namespace bufferization
} // namespace mlir
void bufferization_ext::registerBufferizableOpInterfaceExternalModels(
DialectRegistry &registry) {
registry.addOpInterface<ToMemrefOp, bufferization_ext::ToMemrefOpInterface>();
registry.addOpInterface<ToTensorOp, bufferization_ext::ToTensorOpInterface>();
}

139
mlir/lib/Dialect/Bufferization/IR/BufferizationOps.cpp
View File

@ -182,6 +182,79 @@ struct ToMemrefOfCast : public OpRewritePattern<ToMemrefOp> {
}
};
/// Try to fold to_memref(to_tensor(x)). If x's type and the result type of the
/// to_memref op are different, a memref.cast is needed.
static LogicalResult foldToMemrefToTensorPair(RewriterBase &rewriter,
ToMemrefOp toMemref,
bool allowSameType = true) {
auto memrefToTensor = toMemref.tensor().getDefiningOp<ToTensorOp>();
if (!memrefToTensor)
return failure();
// A memref_to_tensor + tensor_to_memref with same types can be folded without
// inserting a cast.
if (memrefToTensor.memref().getType() == toMemref.getType()) {
if (!allowSameType)
// Function can be configured to only handle cases where a cast is needed.
return failure();
rewriter.replaceOp(toMemref, memrefToTensor.memref());
return success();
}
// If types are definitely not cast-compatible, bail.
if (!memref::CastOp::areCastCompatible(memrefToTensor.memref().getType(),
toMemref.getType()))
return failure();
// We already know that the types are potentially cast-compatible. However
// in case the affine maps are different, we may need to use a copy if we go
// from dynamic to static offset or stride (the canonicalization cannot know
// at this point that it is really cast compatible).
auto isGuaranteedCastCompatible = [](MemRefType source, MemRefType target) {
int64_t sourceOffset, targetOffset;
SmallVector<int64_t, 4> sourceStrides, targetStrides;
if (failed(getStridesAndOffset(source, sourceStrides, sourceOffset)) ||
failed(getStridesAndOffset(target, targetStrides, targetOffset)))
return false;
auto dynamicToStatic = [](int64_t a, int64_t b) {
return a == MemRefType::getDynamicStrideOrOffset() &&
b != MemRefType::getDynamicStrideOrOffset();
};
if (dynamicToStatic(sourceOffset, targetOffset))
return false;
for (auto it : zip(sourceStrides, targetStrides))
if (dynamicToStatic(std::get<0>(it), std::get<1>(it)))
return false;
return true;
};
auto memrefToTensorType =
memrefToTensor.memref().getType().dyn_cast<MemRefType>();
auto toMemrefType = toMemref.getType().dyn_cast<MemRefType>();
if (memrefToTensorType && toMemrefType &&
!isGuaranteedCastCompatible(memrefToTensorType, toMemrefType)) {
MemRefType resultType = toMemrefType;
auto loc = toMemref.getLoc();
SmallVector<Value, 4> dynamicOperands;
for (int i = 0; i < resultType.getRank(); ++i) {
if (resultType.getShape()[i] != ShapedType::kDynamicSize)
continue;
auto index = rewriter.createOrFold<arith::ConstantIndexOp>(loc, i);
Value size = rewriter.create<tensor::DimOp>(loc, memrefToTensor, index);
dynamicOperands.push_back(size);
}
// TODO: Use alloc/memcpy callback from BufferizationOptions if called via
// BufferizableOpInterface impl of ToMemrefOp.
auto copy =
rewriter.create<memref::AllocOp>(loc, resultType, dynamicOperands);
rewriter.create<memref::CopyOp>(loc, memrefToTensor.memref(), copy);
rewriter.replaceOp(toMemref, {copy});
} else
rewriter.replaceOpWithNewOp<memref::CastOp>(toMemref, toMemref.getType(),
memrefToTensor.memref());
return success();
}
/// Canonicalize bufferization.to_tensor + bufferization.to_memref to
/// memref.cast when type mismatches prevent `ToMemrefOp::fold` to kick in.
struct TensorLoadToMemref : public OpRewritePattern<ToMemrefOp> {
@ -189,62 +262,10 @@ struct TensorLoadToMemref : public OpRewritePattern<ToMemrefOp> {
LogicalResult matchAndRewrite(ToMemrefOp toMemref,
PatternRewriter &rewriter) const final {
auto memrefToTensor = toMemref.tensor().getDefiningOp<ToTensorOp>();
// Bail unless we have a memref_to_tensor + tensor_to_memref with different
// types. `ToMemrefOp::fold` handles the same type case.
if (!memrefToTensor ||
memrefToTensor.memref().getType() == toMemref.getType())
return failure();
// If types are definitely not cast-compatible, bail.
if (!memref::CastOp::areCastCompatible(memrefToTensor.memref().getType(),
toMemref.getType()))
return failure();
// We already know that the types are potentially cast-compatible. However
// in case the affine maps are different, we may need to use a copy if we go
// from dynamic to static offset or stride (the canonicalization cannot know
// at this point that it is really cast compatible).
auto isGuaranteedCastCompatible = [](MemRefType source, MemRefType target) {
int64_t sourceOffset, targetOffset;
SmallVector<int64_t, 4> sourceStrides, targetStrides;
if (failed(getStridesAndOffset(source, sourceStrides, sourceOffset)) ||
failed(getStridesAndOffset(target, targetStrides, targetOffset)))
return false;
auto dynamicToStatic = [](int64_t a, int64_t b) {
return a == MemRefType::getDynamicStrideOrOffset() &&
b != MemRefType::getDynamicStrideOrOffset();
};
if (dynamicToStatic(sourceOffset, targetOffset))
return false;
for (auto it : zip(sourceStrides, targetStrides))
if (dynamicToStatic(std::get<0>(it), std::get<1>(it)))
return false;
return true;
};
auto memrefToTensorType =
memrefToTensor.memref().getType().dyn_cast<MemRefType>();
auto toMemrefType = toMemref.getType().dyn_cast<MemRefType>();
if (memrefToTensorType && toMemrefType &&
!isGuaranteedCastCompatible(memrefToTensorType, toMemrefType)) {
MemRefType resultType = toMemrefType;
auto loc = toMemref.getLoc();
SmallVector<Value, 4> dynamicOperands;
for (int i = 0; i < resultType.getRank(); ++i) {
if (resultType.getShape()[i] != ShapedType::kDynamicSize)
continue;
auto index = rewriter.createOrFold<arith::ConstantIndexOp>(loc, i);
Value size = rewriter.create<tensor::DimOp>(loc, memrefToTensor, index);
dynamicOperands.push_back(size);
}
auto copy =
rewriter.create<memref::AllocOp>(loc, resultType, dynamicOperands);
rewriter.create<memref::CopyOp>(loc, memrefToTensor.memref(), copy);
rewriter.replaceOp(toMemref, {copy});
} else
rewriter.replaceOpWithNewOp<memref::CastOp>(toMemref, toMemref.getType(),
memrefToTensor.memref());
return success();
// Only handle cases where a cast is needed. The other case is handled by
// the folder.
return foldToMemrefToTensorPair(rewriter, toMemref,
/*allowSameType=*/false);
}
};
@ -288,6 +309,12 @@ void ToMemrefOp::getCanonicalizationPatterns(RewritePatternSet &results,
context);
}
LogicalResult ToMemrefOp::bufferize(RewriterBase &rewriter,
const BufferizationState &state) {
// Fold to_memref(to_tensor(x)) to x. Insert a cast if necessary.
return foldToMemrefToTensorPair(rewriter, *this);
}
Optional<Operation *> CloneOp::buildDealloc(OpBuilder &builder, Value alloc) {
return builder.create<memref::DeallocOp>(alloc.getLoc(), alloc)
.getOperation();

16
mlir/lib/Dialect/Bufferization/IR/CMakeLists.txt
View File

@ -1,6 +1,6 @@
add_mlir_dialect_library(MLIRBufferization
PARTIAL_SOURCES_INTENDED
AllocationOpInterface.cpp
BufferizableOpInterface.cpp
BufferizationOps.cpp
BufferizationDialect.cpp
@ -17,17 +17,3 @@ add_mlir_dialect_library(MLIRBufferization
MLIRTensor
MLIRMemRef
)
add_mlir_dialect_library(MLIRBufferizableOpInterface
PARTIAL_SOURCES_INTENDED
BufferizableOpInterface.cpp
BufferizationInterfaceImpl.cpp
DEPENDS
MLIRBufferizableOpInterfaceIncGen
LINK_LIBS PUBLIC
MLIRIR
MLIRBufferization
MLIRMemRef
)

1
mlir/lib/Dialect/Bufferization/Transforms/CMakeLists.txt
View File

@ -10,7 +10,6 @@ add_mlir_dialect_library(MLIRBufferizationTransforms
MLIRBufferizationPassIncGen
LINK_LIBS PUBLIC
MLIRBufferizableOpInterface
MLIRBufferization
MLIRControlFlowInterfaces
MLIRInferTypeOpInterface

14
mlir/lib/Dialect/Linalg/ComprehensiveBufferize/CMakeLists.txt
View File

@ -13,7 +13,7 @@ add_mlir_dialect_library(MLIRAffineBufferizableOpInterfaceImpl
LINK_LIBS PUBLIC
MLIRAffine
MLIRBufferizableOpInterface
MLIRBufferization
)
add_mlir_dialect_library(MLIRArithBufferizableOpInterfaceImpl
@ -21,7 +21,7 @@ add_mlir_dialect_library(MLIRArithBufferizableOpInterfaceImpl
LINK_LIBS PUBLIC
MLIRArithmetic
MLIRBufferizableOpInterface
MLIRBufferization
MLIRIR
MLIRMemRef
MLIRStandardOpsTransforms
@ -31,7 +31,7 @@ add_mlir_dialect_library(MLIRLinalgBufferizableOpInterfaceImpl
LinalgInterfaceImpl.cpp
LINK_LIBS PUBLIC
MLIRBufferizableOpInterface
MLIRBufferization
MLIRBufferizationTransforms
MLIRIR
MLIRLinalg
@ -42,7 +42,7 @@ add_mlir_dialect_library(MLIRSCFBufferizableOpInterfaceImpl
SCFInterfaceImpl.cpp
LINK_LIBS PUBLIC
MLIRBufferizableOpInterface
MLIRBufferization
MLIRBufferizationTransforms
MLIRIR
MLIRSCF
@ -52,7 +52,7 @@ add_mlir_dialect_library(MLIRStdBufferizableOpInterfaceImpl
StdInterfaceImpl.cpp
LINK_LIBS PUBLIC
MLIRBufferizableOpInterface
MLIRBufferization
MLIRStandard
)
@ -60,7 +60,7 @@ add_mlir_dialect_library(MLIRVectorBufferizableOpInterfaceImpl
VectorInterfaceImpl.cpp
LINK_LIBS PUBLIC
MLIRBufferizableOpInterface
MLIRBufferization
MLIRIR
MLIRVector
)
@ -69,7 +69,7 @@ add_mlir_dialect_library(MLIRModuleBufferization
ModuleBufferization.cpp
LINK_LIBS PUBLIC
MLIRBufferizableOpInterface
MLIRBufferization
MLIRBufferizationTransforms
MLIRIR
MLIRMemRef

2
mlir/lib/Dialect/Linalg/IR/CMakeLists.txt
View File

@ -14,7 +14,7 @@ add_mlir_dialect_library(MLIRLinalg
LINK_LIBS PUBLIC
MLIRAffine
MLIRArithmetic
MLIRBufferizableOpInterface
MLIRBufferization
MLIRDialectUtils
MLIRInferTypeOpInterface
MLIRIR

2
mlir/lib/Dialect/Linalg/Transforms/CMakeLists.txt
View File

@ -36,7 +36,7 @@ add_mlir_dialect_library(MLIRLinalgTransforms
MLIRAnalysis
MLIRArithBufferizableOpInterfaceImpl
MLIRArithmetic
MLIRBufferizableOpInterface
MLIRBufferization
MLIRComplex
MLIRInferTypeOpInterface
MLIRIR

2
mlir/lib/Dialect/Linalg/Transforms/ComprehensiveBufferizePass.cpp
View File

@ -10,7 +10,6 @@
#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
#include "mlir/Dialect/Bufferization/IR/BufferizationInterfaceImpl.h"
#include "mlir/Dialect/Bufferization/Transforms/OneShotAnalysis.h"
#include "mlir/Dialect/Linalg/ComprehensiveBufferize/AffineInterfaceImpl.h"
#include "mlir/Dialect/Linalg/ComprehensiveBufferize/ArithInterfaceImpl.h"
@ -54,7 +53,6 @@ struct LinalgComprehensiveModuleBufferize
arith::ArithmeticDialect, StandardOpsDialect, AffineDialect>();
affine_ext::registerBufferizableOpInterfaceExternalModels(registry);
arith_ext::registerBufferizableOpInterfaceExternalModels(registry);
bufferization_ext::registerBufferizableOpInterfaceExternalModels(registry);
linalg_ext::registerBufferizableOpInterfaceExternalModels(registry);
scf_ext::registerBufferizableOpInterfaceExternalModels(registry);
std_ext::registerModuleBufferizationExternalModels(registry);

2
mlir/lib/Dialect/SparseTensor/Transforms/CMakeLists.txt
View File

@ -12,7 +12,7 @@ add_mlir_dialect_library(MLIRSparseTensorTransforms
LINK_LIBS PUBLIC
MLIRArithmetic
MLIRBufferizableOpInterface
MLIRBufferization
MLIRIR
MLIRLLVMIR
MLIRLinalg

2
mlir/lib/Dialect/Tensor/Transforms/CMakeLists.txt
View File

@ -10,7 +10,7 @@ add_mlir_dialect_library(MLIRTensorTransforms
LINK_LIBS PUBLIC
MLIRArithmetic
MLIRBufferizableOpInterface
MLIRBufferization
MLIRBufferizationTransforms
MLIRIR
MLIRMemRef

2
mlir/test/lib/Dialect/Linalg/CMakeLists.txt
View File

@ -16,7 +16,7 @@ add_mlir_library(MLIRLinalgTestPasses
MLIRAffineBufferizableOpInterfaceImpl
MLIRArithBufferizableOpInterfaceImpl
MLIRArithmetic
MLIRBufferizableOpInterface
MLIRBufferization
MLIRBufferizationTransforms
MLIRGPUTransforms
MLIRLinalg

2
mlir/test/lib/Dialect/Linalg/TestComprehensiveBufferize.cpp
View File

@ -14,7 +14,6 @@
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
#include "mlir/Dialect/Bufferization/IR/BufferizationInterfaceImpl.h"
#include "mlir/Dialect/Bufferization/Transforms/OneShotAnalysis.h"
#include "mlir/Dialect/Linalg/ComprehensiveBufferize/AffineInterfaceImpl.h"
#include "mlir/Dialect/Linalg/ComprehensiveBufferize/ArithInterfaceImpl.h"
@ -61,7 +60,6 @@ struct TestComprehensiveFunctionBufferize
arith::ArithmeticDialect, AffineDialect>();
affine_ext::registerBufferizableOpInterfaceExternalModels(registry);
arith_ext::registerBufferizableOpInterfaceExternalModels(registry);
bufferization_ext::registerBufferizableOpInterfaceExternalModels(registry);
linalg_ext::registerBufferizableOpInterfaceExternalModels(registry);
scf_ext::registerBufferizableOpInterfaceExternalModels(registry);
std_ext::registerBufferizableOpInterfaceExternalModels(registry);

51
utils/bazel/llvm-project-overlay/mlir/BUILD.bazel
View File

@ -1958,7 +1958,6 @@ cc_library(
deps = [
":Affine",
":ArithmeticDialect",
":BufferizableOpInterface",
":BufferizationDialect",
":IR",
":LLVMDialect",
@ -4423,7 +4422,6 @@ cc_library(
deps = [
":ArithmeticDialect",
":Async",
":BufferizableOpInterface",
":BufferizationDialect",
":BufferizationTransforms",
":IR",
@ -6573,27 +6571,6 @@ gentbl_cc_library(
],
)
cc_library(
name = "BufferizableOpInterface",
srcs = [
"lib/Dialect/Bufferization/IR/BufferizableOpInterface.cpp",
"lib/Dialect/Bufferization/IR/BufferizationInterfaceImpl.cpp",
],
hdrs = [
"include/mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h",
"include/mlir/Dialect/Bufferization/IR/BufferizationInterfaceImpl.h",
],
includes = ["include"],
deps = [
":BufferizableOpInterfaceIncGen",
":BufferizationDialect",
":IR",
":MemRefDialect",
":Support",
"//llvm:Support",
],
)
cc_library(
name = "AffineBufferizableOpInterfaceImpl",
srcs = [
@ -6605,7 +6582,7 @@ cc_library(
includes = ["include"],
deps = [
":Affine",
":BufferizableOpInterface",
":BufferizationDialect",
"//llvm:Support",
],
)
@ -6621,7 +6598,7 @@ cc_library(
includes = ["include"],
deps = [
":ArithmeticDialect",
":BufferizableOpInterface",
":BufferizationDialect",
":IR",
":MemRefDialect",
":Support",
@ -6640,7 +6617,6 @@ cc_library(
],
includes = ["include"],
deps = [
":BufferizableOpInterface",
":BufferizationDialect",
":BufferizationTransforms",
":IR",
@ -6660,7 +6636,6 @@ cc_library(
],
includes = ["include"],
deps = [
":BufferizableOpInterface",
":BufferizationDialect",
":BufferizationTransforms",
":IR",
@ -6680,7 +6655,7 @@ cc_library(
],
includes = ["include"],
deps = [
":BufferizableOpInterface",
":BufferizationDialect",
":IR",
":StandardOps",
":Support",
@ -6698,7 +6673,7 @@ cc_library(
],
includes = ["include"],
deps = [
":BufferizableOpInterface",
":BufferizationDialect",
":IR",
":Support",
":VectorOps",
@ -6827,7 +6802,7 @@ cc_library(
deps = [
":Affine",
":ArithmeticDialect",
":BufferizableOpInterface",
":BufferizationDialect",
":CopyOpInterface",
":DialectUtils",
":IR",
@ -6909,7 +6884,6 @@ cc_library(
":Analysis",
":ArithBufferizableOpInterfaceImpl",
":ArithmeticDialect",
":BufferizableOpInterface",
":BufferizationDialect",
":BufferizationTransforms",
":ComplexDialect",
@ -6953,7 +6927,6 @@ cc_library(
],
includes = ["include"],
deps = [
":BufferizableOpInterface",
":BufferizationDialect",
":BufferizationTransforms",
":DialectUtils",
@ -7968,19 +7941,27 @@ gentbl_cc_library(
],
tblgen = ":mlir-tblgen",
td_file = "include/mlir/Dialect/Bufferization/IR/BufferizationOps.td",
deps = [":BufferizationOpsTdFiles"],
deps = [
":BufferizableOpInterfaceTdFiles",
":BufferizationOpsTdFiles",
],
)
cc_library(
name = "BufferizationDialect",
srcs = [
"lib/Dialect/Bufferization/IR/BufferizableOpInterface.cpp",
"lib/Dialect/Bufferization/IR/BufferizationDialect.cpp",
"lib/Dialect/Bufferization/IR/BufferizationOps.cpp",
],
hdrs = ["include/mlir/Dialect/Bufferization/IR/Bufferization.h"],
hdrs = [
"include/mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h",
"include/mlir/Dialect/Bufferization/IR/Bufferization.h",
],
includes = ["include"],
deps = [
":AllocationOpInterface",
":BufferizableOpInterfaceIncGen",
":BufferizationBaseIncGen",
":BufferizationOpsIncGen",
":ControlFlowInterfaces",
@ -7989,6 +7970,7 @@ cc_library(
":InferTypeOpInterface",
":MemRefDialect",
":StandardOps",
":Support",
":TensorDialect",
":ViewLikeInterface",
"//llvm:Support",
@ -8025,7 +8007,6 @@ cc_library(
deps = [
":AllocationOpInterface",
":Analysis",
":BufferizableOpInterface",
":BufferizationDialect",
":BufferizationPassIncGen",
":ControlFlowInterfaces",

1
utils/bazel/llvm-project-overlay/mlir/test/BUILD.bazel
View File

@ -388,7 +388,6 @@ cc_library(
"//mlir:AffineBufferizableOpInterfaceImpl",
"//mlir:ArithBufferizableOpInterfaceImpl",
"//mlir:ArithmeticDialect",
"//mlir:BufferizableOpInterface",
"//mlir:BufferizationDialect",
"//mlir:BufferizationTransforms",
"//mlir:GPUDialect",