Diff 384015

mlir/include/mlir/Dialect/Linalg/Transforms/ComprehensiveBufferize.h

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	/// `bufferizedFunctionTypes` (resp. `globalCreator`) are expected to be			/// `bufferizedFunctionTypes` (resp. `globalCreator`) are expected to be
	/// non-null if `op` is a CallOpInterface (resp. GlobalCreator).			/// non-null if `op` is a CallOpInterface (resp. GlobalCreator).
	LogicalResult			LogicalResult
	bufferizeOp(Operation *op, BlockAndValueMapping &bvm,			bufferizeOp(Operation *op, BlockAndValueMapping &bvm,
	BufferizationAliasInfo &aliasInfo,			BufferizationAliasInfo &aliasInfo,
	AllocationCallbacks allocationFns,			AllocationCallbacks allocationFns,
	DenseMap<FuncOp, FunctionType> *bufferizedFunctionTypes = nullptr);			DenseMap<FuncOp, FunctionType> *bufferizedFunctionTypes = nullptr);

				/// Register external models implemented for the `BufferizableOpInterface`.
				void registerBufferiableOpInterfaceExternalModels(DialectRegistry &registry);
	} // namespace linalg			} // namespace linalg
	} // namespace mlir			} // namespace mlir

	#endif // define MLIR_DIALECT_LINALG_TRANSFORMS_COMPREHENSIVE_BUFFERIZE_H			#endif // define MLIR_DIALECT_LINALG_TRANSFORMS_COMPREHENSIVE_BUFFERIZE_H

mlir/lib/Dialect/Linalg/Transforms/ComprehensiveBufferize.cpp

Show First 20 Lines • Show All 290 Lines • ▼ Show 20 Lines
}		}

/// Get the InPlaceSpec attribute entry `kInPlaceResultsAttrName` for		/// Get the InPlaceSpec attribute entry `kInPlaceResultsAttrName` for
/// `opResult`. If the result is `InPlaceSpec::True`, the use-def chain analysis		/// `opResult`. If the result is `InPlaceSpec::True`, the use-def chain analysis
/// has guaranteed that no subsequent read of the tensor value occurs and the		/// has guaranteed that no subsequent read of the tensor value occurs and the
/// result can be buferized inPlace.		/// result can be buferized inPlace.
/// If no InPlaceSpec attribute has been set for `opResult`, return		/// If no InPlaceSpec attribute has been set for `opResult`, return
/// InPlaceSpec::None.		/// InPlaceSpec::None.
static InPlaceSpec getInPlace(OpResult opResult) {		LLVM_ATTRIBUTE_UNUSED static InPlaceSpec getInPlace(OpResult opResult) {
if (!opResult)		if (!opResult)
return InPlaceSpec::None;		return InPlaceSpec::None;

Operation *op = opResult.getOwner();		Operation *op = opResult.getOwner();
auto attr =		auto attr =
op->getAttr(kInPlaceResultsAttrName).dyn_cast_or_null<ArrayAttr>();		op->getAttr(kInPlaceResultsAttrName).dyn_cast_or_null<ArrayAttr>();
if (!attr)		if (!attr)
return InPlaceSpec::None;		return InPlaceSpec::None;
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static void removeBufferizationFuncArguments(BlockArgument bbArg) {		static void removeBufferizationFuncArguments(BlockArgument bbArg) {
auto funcOp = cast<FuncOp>(bbArg.getOwner()->getParentOp());		auto funcOp = cast<FuncOp>(bbArg.getOwner()->getParentOp());
funcOp.removeArgAttr(bbArg.getArgNumber(),		funcOp.removeArgAttr(bbArg.getArgNumber(),
LinalgDialect::kBufferLayoutAttrName);		LinalgDialect::kBufferLayoutAttrName);
funcOp.removeArgAttr(bbArg.getArgNumber(),		funcOp.removeArgAttr(bbArg.getArgNumber(),
LinalgDialect::kInplaceableAttrName);		LinalgDialect::kInplaceableAttrName);
}		}

LLVM_ATTRIBUTE_UNUSED static InPlaceSpec getInPlace(Value v) {		static InPlaceSpec getInPlace(Value v) {
if (auto bbArg = v.dyn_cast<BlockArgument>())		if (auto bbArg = v.dyn_cast<BlockArgument>())
return getInPlace(bbArg);		return getInPlace(bbArg);
return getInPlace(v.cast<OpResult>());		return getInPlace(v.cast<OpResult>());
}		}

//===----------------------------------------------------------------------===//		//===----------------------------------------------------------------------===//
// Printing helpers.		// Printing helpers.
//===----------------------------------------------------------------------===//		//===----------------------------------------------------------------------===//
▲ Show 20 Lines • Show All 42 Lines • ▼ Show 20 Lines	static std::string printValueInfo(Value value, bool prefix) {
llvm::raw_string_ostream os(result);		llvm::raw_string_ostream os(result);
AsmState state(value.getParentRegion()->getParentOfType<mlir::FuncOp>());		AsmState state(value.getParentRegion()->getParentOfType<mlir::FuncOp>());
os << value;		os << value;
printTensorOrBufferInfo("\n\t - ", value, state, os);		printTensorOrBufferInfo("\n\t - ", value, state, os);
return result;		return result;
}		}

//===----------------------------------------------------------------------===//		//===----------------------------------------------------------------------===//
// Op-specific semantics helper to retrieve matching inplaceable result.		// Helper functions for BufferizableOpInterface
// These should become proper interfaces interfaces when the time is right.		//===----------------------------------------------------------------------===//
// Modulo better naming, these helpers / interfaces comprise information on:
// 1. Whether an op has a known bufferization behavior (i.e. an instance of
// BufferizableOpInterface).
// 2. Whether an op, when bufferized inplace, can guarantee an
// (OpOperand, OpResult) pair bufferizes to equivalent (i.e. the same)
// buffers in memory.
// 3. Whether an op operand, when bufferized inplace, aliases a return value.
// 4. Whether an op return value, when bufferized inplace, aliases an operand.
// 5. Whether an op bufferizes to a memory read.
// 6. Whether an op bufferizes to a memory write.
// 7. The buffer relationship between an operand and it corresponding result
// (in case of in-place bufferization).
// These interfaces are necessary to distinguish between various cases and allow
// special inplace behavior for (ExtractSliceOp, InsertSliceOp) pairs.
//===----------------------------------------------------------------------===//

/// Return `true` if the op is explicitly supported by bufferization or if it
/// has no result tensors.
/// Other cases must be conservative.
static bool hasKnownBufferizationAliasingBehavior(Operation *op) {
return
// clang-format off
isa<CallOpInterface,
tensor::CastOp,
ConstantOp,
tensor::DimOp,
ExtractSliceOp,
scf::IfOp,
scf::ForOp,
InsertSliceOp,
InitTensorOp,
LinalgOp,
ReturnOp,
TiledLoopOp,
VectorTransferOpInterface,
linalg::YieldOp,
scf::YieldOp>(op)
// clang-format on
\|\| (none_of(op->getResultTypes(), isaTensor) &&
none_of(op->getOperandTypes(), isaTensor));
}

/// Return the OpResult that may bufferize into the same buffer as `opOperand`
/// when the op is bufferized inplace.
/// Return null if no such result exists.
static OpResult getInplaceableOpResult(TiledLoopOp op, OpOperand &opOperand) {
return op.getTiedOpResult(opOperand);
}

/// Return the OpResult that may bufferize into the same buffer as `opOperand`
/// when the op is bufferized inplace.
/// Return null if no such result exists.
static OpResult getInplaceableOpResult(scf::ForOp forOp, OpOperand &opOperand) {
if (!opOperand.get().getType().isa<RankedTensorType>())
return OpResult();
return forOp.getResultForOpOperand(opOperand);
}

/// Return the OpResult that may bufferize into the same buffer as `opOperand`
/// when the op is bufferized inplace.
/// Return null if no such result exists.
static OpResult getInplaceableOpResult(LinalgOp linalgOp,
OpOperand &opOperand) {
if (!opOperand.get().getType().isa<RankedTensorType>())
return OpResult();
// For now assume inputs are never inplaceable.
// TODO: refine this.
if (opOperand.getOperandNumber() < linalgOp.getNumInputs())
return OpResult();
int64_t outputOperandIndex =
opOperand.getOperandNumber() - linalgOp.getNumInputs();
int64_t numOutputBuffers = 0;
for (unsigned idx = 0; idx < outputOperandIndex; ++idx)
if (!linalgOp.getOutputOperand(idx)->get().getType().isa<TensorType>())
++numOutputBuffers;
return linalgOp->getResult(outputOperandIndex - numOutputBuffers);
}

/// Return the OpResult that may bufferize into the same buffer as `opOperand`
/// when the op is bufferized inplace.
/// Return null if no such result exists.
static OpResult getInplaceableOpResult(VectorTransferOpInterface op,
OpOperand &opOperand) {
if (opOperand.get() != op.source() \|\|
!op.source().getType().isa<TensorType>() \|\|
isa<vector::TransferReadOp>(op))
return OpResult();
return op->getResult(0);
}

/// Return the OpResult that may bufferize into the same buffer as `opOperand`
/// when the op is bufferized inplace.
/// Return null if no such result exists.
static OpResult getInplaceableOpResult(InsertSliceOp op, OpOperand &opOperand) {
if (&opOperand != &op->getOpOperand(1) /dest/)
return OpResult();
return op->getResult(0);
}

/// Return the OpResult that may bufferize into the same buffer as `opOperand`
/// when the op is bufferized inplace.
/// The inplace analysis uses this information along with interfering read
/// analysis to determine which op results reuse the same buffer as some
/// operand.
static OpResult getInplaceableOpResult(OpOperand &opOperand) {
return TypeSwitch<Operation *, OpResult>(opOperand.getOwner())
// clang-format off
// Ops that perform destructive updates on operand(s) to produce
// result(s).
.Case<scf::ForOp,
InsertSliceOp,
LinalgOp,
TiledLoopOp,
VectorTransferOpInterface>(
[&](auto op) { return getInplaceableOpResult(op, opOperand); })
// Some ops just return an alias to an operand when bufferized inplace.
// Such OpResults are never inplaceable on an OpOperand.
.Case<ExtractSliceOp, tensor::CastOp>(
[] (auto op) { return OpResult(); })
// CallOpInterface is special, it needs to wait for the callee to be
// bufferized and needs to inspect the BufferAliasInfo object. It can't
// make a proper determination by itself and needs to be conservative.
.Case([&](CallOpInterface op) { return OpResult(); })
// Other ops.
.Default([&](Operation *op) { return OpResult(); });
// clang-format on
}

/// Either one of the corresponding yield values from the then/else branches
/// may alias with the result.
static void populateAliasingOpOperands(scf::IfOp op, OpResult result,
SmallVector<OpOperand *> &operands) {
size_t resultNum = std::distance(op->getOpResults().begin(),
llvm::find(op->getOpResults(), result));
operands.push_back(&op.thenYield()->getOpOperand(resultNum));
operands.push_back(&op.elseYield()->getOpOperand(resultNum));
}

/// Determine which OpOperand* will alias with `result` if the op is bufferized		/// Determine which OpOperand* will alias with `result` if the op is bufferized
/// in place. Note that multiple OpOperands can may potentially alias with an		/// in place. Return an empty vector if the op is not bufferizable.
/// OpResult. E.g.: std.select in the future.
static SmallVector<OpOperand *> getAliasingOpOperand(OpResult result) {		static SmallVector<OpOperand *> getAliasingOpOperand(OpResult result) {
SmallVector<OpOperand *> r;		if (Operation *op = result.getDefiningOp())
// Unknown ops are handled conservatively and never bufferize in-place.		if (auto bufferizableOp = dyn_cast<BufferizableOpInterface>(op))
if (!hasKnownBufferizationAliasingBehavior(result.getDefiningOp()))		return bufferizableOp.getAliasingOpOperand(result);
return SmallVector<OpOperand *>();		return {};
TypeSwitch<Operation *>(result.getDefiningOp())
.Case([&](scf::IfOp op) { populateAliasingOpOperands(op, result, r); })
.Case<ExtractSliceOp, tensor::CastOp>(
[&](auto op) { r.push_back(&op->getOpOperand(0)); })
// In the case of scf::ForOp, this currently assumes the iter_args / yield
// are 1-1. This may fail and is verified at the end.
// TODO: update this.
.Case([&](scf::ForOp op) {
r.push_back(&op.getIterOpOperands()[result.getResultNumber()]);
})
.Case([&](InsertSliceOp op) { r.push_back(&op->getOpOperand(1)); })
.Case([&](LinalgOp op) {
r.push_back(op.getOutputTensorOperands()[result.getResultNumber()]);
})
.Case([&](TiledLoopOp op) {
// TODO: TiledLoopOp helper method to avoid leaking impl details.
r.push_back(&op->getOpOperand(op.getNumControlOperands() +
op.getNumInputs() +
result.getResultNumber()));
})
.Case([&](vector::TransferWriteOp op) {
r.push_back(&op->getOpOperand(1));
})
.Case<arith::ConstantOp, ConstantOp, CallOpInterface, InitTensorOp>(
[&](auto op) {})
.Default([&](Operation *op) {
op->dump();
llvm_unreachable("unexpected defining op");
});
return r;
}

/// If the an ExtractSliceOp is bufferized in-place, the source operand will
/// alias with the result.
static OpResult getAliasingOpResult(ExtractSliceOp op, OpOperand &opOperand) {
if (&op->getOpOperand(0) == &opOperand)
return op->getResult(0);
return OpResult();
}

/// If the a tensor::CastOp is bufferized in-place, the source operand will
/// alias with the result.
static OpResult getAliasingOpResult(tensor::CastOp op, OpOperand &opOperand) {
if (&op->getOpOperand(0) == &opOperand)
return op->getResult(0);
return OpResult();
}		}

/// Determine which OpResult will alias with `opOperand` if the op is bufferized		/// Determine which OpResult will alias with `opOperand` if the op is bufferized
/// in place. This is a superset of `getInplaceableOpResult`.		/// in place. This is a superset of `getInplaceableOpResult`. Return an empty
/// TODO: in the future this may need to evolve towards a list of OpResult.		/// OpResult if the op is not bufferizable.
static OpResult getAliasingOpResult(OpOperand &opOperand) {		static OpResult getAliasingOpResult(OpOperand &opOperand) {
return TypeSwitch<Operation *, OpResult>(opOperand.getOwner())		if (auto bufferizableOp =
// Some ops are different: Their result is not inplaceable on an OpOperand		dyn_cast<BufferizableOpInterface>(opOperand.getOwner()))
// but when bufferized inplace, their result is aliasing (a subregion of)		return bufferizableOp.getAliasingOpResult(opOperand);
// an OpOperand.		return OpResult();
.Case<ExtractSliceOp, tensor::CastOp>(
[&](auto op) { return getAliasingOpResult(op, opOperand); })
// All other ops, return the result of `getInplaceableOpResult`.
.Default(
[&](Operation *op) { return getInplaceableOpResult(opOperand); });
}		}

/// Return `true` if the given OpOperand does not bufferize to a memory read or		/// Return `true` if the given OpOperand does not bufferize to a memory read or
/// write, but creates an alias when bufferized inplace.		/// write, but creates an alias when bufferized inplace. Return `false` if the
		/// op is not bufferizable.
static bool bufferizesToAliasOnly(OpOperand &opOperand) {		static bool bufferizesToAliasOnly(OpOperand &opOperand) {
Operation *owner = opOperand.getOwner();		if (auto bufferizableOp =
// TODO: In the future this may need to evolve into a TypeSwitch. For all		dyn_cast<BufferizableOpInterface>(opOperand.getOwner()))
// currently supported ops, the aliasing-only OpOperand is always the first		return bufferizableOp.bufferizesToAliasOnly(opOperand);
// one.
return isa<ExtractSliceOp, TensorCollapseShapeOp, TensorExpandShapeOp,		// Unknown op that returns a tensor. The inplace analysis does not support it.
tensor::CastOp>(owner) &&		// Conservatively return false.
&opOperand == &owner->getOpOperand(0);		return false;
}		}

// Predeclaration of function.		// Predeclaration of function.
static bool bufferizesToMemoryRead(OpOperand &opOperand);		static bool bufferizesToMemoryRead(OpOperand &opOperand);

/// Return true if the given value is read by an op that bufferizes to a memory		/// Return true if the given value is read by an op that bufferizes to a memory
/// read. Also takes into account ops that create an alias but do not read by		/// read. Also takes into account ops that create an alias but do not read by
/// themselves (e.g., ExtractSliceOp).		/// themselves (e.g., ExtractSliceOp).
Show All 10 Lines	if (bufferizesToAliasOnly(*uMaybeReading))
workingSet.push_back(&use);		workingSet.push_back(&use);
if (bufferizesToMemoryRead(*uMaybeReading))		if (bufferizesToMemoryRead(*uMaybeReading))
return true;		return true;
}		}

return false;		return false;
}		}

/// Return true if `opOperand` bufferizes to a memory read.		/// Return true if `opOperand` bufferizes to a memory read. Return `true` if the
		/// op is not bufferizable.
static bool bufferizesToMemoryRead(OpOperand &opOperand) {		static bool bufferizesToMemoryRead(OpOperand &opOperand) {
// Unknown op that returns a tensor. The inplace analysis does not support		if (auto bufferizableOp =
// it. Conservatively return true.		dyn_cast<BufferizableOpInterface>(opOperand.getOwner()))
if (!hasKnownBufferizationAliasingBehavior(opOperand.getOwner()))		return bufferizableOp.bufferizesToMemoryRead(opOperand);
return true;
// Some ops alone do not bufferize to a memory read, but one of their uses		// Unknown op that returns a tensor. The inplace analysis does not support it.
// may.		// Conservatively return true.
if (bufferizesToAliasOnly(opOperand))
return false;
// scf::ForOp alone doesn't bufferize to a memory read, one of the uses of its
// matching bbArg may.
if (auto forOp = dyn_cast<scf::ForOp>(opOperand.getOwner()))
return isValueRead(forOp.getRegionIterArgForOpOperand(opOperand));
// TiledLoop alone doesn't bufferize to a memory read, one of the uses of its
// matching bbArg may.
if (auto tiledLoopOp = dyn_cast<TiledLoopOp>(opOperand.getOwner()))
return isValueRead(tiledLoopOp.getTiedBlockArgument(opOperand));
// CallOpInterface alone doesn't bufferize to a memory read, one of the uses
// of the matching bbArg may. It is the responsibility of the caller to
// inspect bbArgs. In the absence of a BufferizationAliasInfo, we need to be
// conservative.
if (auto callOp = dyn_cast<CallOpInterface>(opOperand.getOwner()))
return true;
if (auto linalgOp = dyn_cast<LinalgOp>(opOperand.getOwner()))
return linalgOp.isInputTensor(&opOperand) \|\|
linalgOp.isInitTensor(&opOperand);
// All other cases are considered to bufferize to memory reads.
// In particular, terminators are often the last use and need to be considered
// as reads to return the proper value and avoid WAW clobbers.
return true;		return true;
}		}

/// Return true if `opOperand` bufferizes to a memory write.		/// Return true if `opOperand` bufferizes to a memory write. Return
		/// `true` if the op is not bufferizable.
static bool bufferizesToMemoryWrite(OpOperand &opOperand) {		static bool bufferizesToMemoryWrite(OpOperand &opOperand) {
// These terminators are not writes.		if (auto bufferizableOp =
if (isa<ReturnOp, linalg::YieldOp, scf::YieldOp>(opOperand.getOwner()))		dyn_cast<BufferizableOpInterface>(opOperand.getOwner()))
return false;		return bufferizableOp.bufferizesToMemoryWrite(opOperand);
// Some ops alone do not bufferize to a memory write, but one of their uses
// may.		// Unknown op that returns a tensor. The inplace analysis does not support it.
if (bufferizesToAliasOnly(opOperand))		// Conservatively return true.
return false;
// CallOpInterface alone doesn't bufferize to a memory write, one of the uses
// of the matching bbArg may. It is the responsibility of the caller to
// inspect bbArgs. In the absence of a BufferizationAliasInfo, we need to be
// conservative.
if (auto callOp = dyn_cast<CallOpInterface>(opOperand.getOwner()))
return true;
// Unknown op that returns a tensor. The inplace analysis does not support
// it. Conservatively return true.
if (!hasKnownBufferizationAliasingBehavior(opOperand.getOwner()))
return true;		return true;
OpResult opResult = getAliasingOpResult(opOperand);
// Only supported op with a matching result for opOperand bufferize to a
// write. E.g., ReturnOp does not bufferize to a write.
return static_cast<bool>(opResult);
}		}

/// Returns the relationship between the operand and the its corresponding		/// Return the relationship between the operand and the its corresponding
/// OpResult that it may alias with.		/// OpResult that it may alias with. Return None if the op is not bufferizable.
static BufferRelation bufferRelation(OpOperand &operand) {		static BufferRelation bufferRelation(OpOperand &opOperand) {
return TypeSwitch<Operation *, BufferRelation>(operand.getOwner())		if (auto bufferizableOp =
// ExtractSliceOp returns a subview of the original tensor.		dyn_cast<BufferizableOpInterface>(opOperand.getOwner()))
.Case([&](ExtractSliceOp op) { return BufferRelation::None; })		return bufferizableOp.bufferRelation(opOperand);
// All other ops: Buffers are equivalent.
.Default([&](Operation *op) { return BufferRelation::Equivalent; });		// Unknown op that returns a tensor. The inplace analysis does not support it.
		// Conservatively return None.
		return BufferRelation::None;
}		}

//===----------------------------------------------------------------------===//		//===----------------------------------------------------------------------===//
// Bufferization-specific alias analysis.		// Bufferization-specific alias analysis.
//===----------------------------------------------------------------------===//		//===----------------------------------------------------------------------===//

/// Return true if opOperand has been decided to bufferize in-place.		/// Return true if opOperand has been decided to bufferize in-place.
static bool isInplaceMemoryWrite(OpOperand &opOperand) {		static bool isInplaceMemoryWrite(OpOperand &opOperand) {
▲ Show 20 Lines • Show All 71 Lines • ▼ Show 20 Lines	if (auto bbArg = v.dyn_cast<BlockArgument>()) {
continue;		continue;
}		}
LDBG("-----------notWritable bbArg\n");		LDBG("-----------notWritable bbArg\n");
return true;		return true;
}		}

if (Operation *op = v.getDefiningOp()) {		if (Operation *op = v.getDefiningOp()) {
if (isa<arith::ConstantOp>(op) \|\|		if (isa<arith::ConstantOp>(op) \|\|
!hasKnownBufferizationAliasingBehavior(op)) {		!dyn_cast<BufferizableOpInterface>(op)) {
LDBG("-----------notWritable op\n");		LDBG("-----------notWritable op\n");
return true;		return true;
}		}
}		}
}		}
LDBG("---->value is writable\n");		LDBG("---->value is writable\n");
return false;		return false;
}		}
▲ Show 20 Lines • Show All 103 Lines • ▼ Show 20 Lines
/// a non-writing op as a writing op may introduce unnecessary out-of-place		/// a non-writing op as a writing op may introduce unnecessary out-of-place
/// bufferizations, but is always safe from a correctness point of view.		/// bufferizations, but is always safe from a correctness point of view.
static Value findLastPrecedingWrite(Value value) {		static Value findLastPrecedingWrite(Value value) {
SetVector<Value> result =		SetVector<Value> result =
findValueInReverseUseDefChain(value, [](Value value) {		findValueInReverseUseDefChain(value, [](Value value) {
Operation *op = value.getDefiningOp();		Operation *op = value.getDefiningOp();
if (!op)		if (!op)
return true;		return true;
if (!hasKnownBufferizationAliasingBehavior(op))		auto bufferizableOp = dyn_cast<BufferizableOpInterface>(op);
		if (!bufferizableOp)
return true;		return true;
if (isa<scf::IfOp>(op))		if (isa<scf::IfOp>(op))
return true;		return true;

SmallVector<OpOperand *> opOperands =		SmallVector<OpOperand *> opOperands =
getAliasingOpOperand(value.cast<OpResult>());		bufferizableOp.getAliasingOpOperand(value.cast<OpResult>());
assert(opOperands.size() <= 1 &&		assert(opOperands.size() <= 1 &&
"op with multiple aliasing OpOperands not expected");		"op with multiple aliasing OpOperands not expected");

if (opOperands.empty())		if (opOperands.empty())
return true;		return true;

return bufferizesToMemoryWrite(*opOperands.front());		return bufferizesToMemoryWrite(*opOperands.front());
});		});
▲ Show 20 Lines • Show All 550 Lines • ▼ Show 20 Lines	if (needCopy) {
}		}
return resultBuffer;		return resultBuffer;
}		}

// Bufferizing in-place. No need to allocate a new buffer.		// Bufferizing in-place. No need to allocate a new buffer.
return operandBuffer;		return operandBuffer;
}		}

/// Helper function for LinalgOp bufferization.
/// When allocating a new buffer, analyze whether `op` wants to read form that
/// buffer. Only in that case, a copy of the result buffer may be needed.
static LogicalResult allocateBuffersForResults(
OpBuilder &b, Location loc, LinalgOp op,
SmallVectorImpl<Value> &resultBuffers, BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo, AllocationCallbacks &allocationFns) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(op);

// TODO: provide the proper interface to iterate on OpResults and get the
// matching OpOperands.
for (OpOperand *opOperand : op.getOutputOperands()) {
OpResult opResult = getInplaceableOpResult(*opOperand);
assert(opResult && "could not find correspond OpResult");
bool skipCopy = !op.payloadUsesValueFromOperand(opOperand);
Value resultBuffer =
getResultBuffer(b, opResult, bvm, aliasInfo, allocationFns, skipCopy);
if (!resultBuffer)
return failure();
resultBuffers.push_back(resultBuffer);
}

if (op->getNumResults())
map(bvm, op->getResults(), resultBuffers);

return success();
}

/// Generic conversion for any LinalgOp on tensors.
static LogicalResult bufferize(OpBuilder &b, LinalgOp op,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFns) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);

// Ensure op has only tensors. Allow mixed tensor-buffer mode on a per-need
// basis.
if (!op.hasTensorSemantics())
return op->emitError() << "op does not have tensor semantics";

Location loc = op.getLoc();
SmallVector<Value> newInputBuffers;
newInputBuffers.reserve(op.getNumInputs());
for (OpOperand *opOperand : op.getInputOperands()) {
if (op.isScalar(opOperand)) {
newInputBuffers.push_back(opOperand->get());
continue;
}
newInputBuffers.push_back(lookup(bvm, opOperand->get()));
assert(newInputBuffers.back() && "missing buffer");
}
SmallVector<Value> newOutputBuffers;
// Try to allocate new buffers depending on op's inplace semantics.
if (failed(allocateBuffersForResults(b, loc, op, newOutputBuffers, bvm,
aliasInfo, allocationFns)))
return failure();

// Clone the newly bufferized op.
SmallVector<Value> newOperands = newInputBuffers;
newOperands.append(newOutputBuffers.begin(), newOutputBuffers.end());

// Set insertion point now that potential alloc/dealloc are introduced.
b.setInsertionPoint(op);
op.clone(b, loc, /resultTypes=/TypeRange{}, newOperands);

// Replace the results of the old op with the new output buffers.
if (op->getNumResults())
map(bvm, op->getResults(), newOutputBuffers);

// The original op will be DCE'd away later.

return success();
}

/// In a first approximation, all the function arguments of a FuncOp are marked		/// In a first approximation, all the function arguments of a FuncOp are marked
/// inplaceable. For now, it is the responsibility of the `callOp` bufferization		/// inplaceable. For now, it is the responsibility of the `callOp` bufferization
/// to allow FuncOp that are inplaceable to write inPlace.		/// to allow FuncOp that are inplaceable to write inPlace.
static LogicalResult		static LogicalResult
bufferize(OpBuilder &b, CallOpInterface callOp, BlockAndValueMapping &bvm,		bufferize(OpBuilder &b, CallOpInterface callOp, BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo, AllocationCallbacks &allocationFns,		BufferizationAliasInfo &aliasInfo, AllocationCallbacks &allocationFns,
DenseMap<FuncOp, FunctionType> &bufferizedFunctionTypes) {		DenseMap<FuncOp, FunctionType> &bufferizedFunctionTypes) {
FuncOp funcOp = getCalledFunction(callOp);		FuncOp funcOp = getCalledFunction(callOp);
▲ Show 20 Lines • Show All 125 Lines • ▼ Show 20 Lines	bufferize(OpBuilder &b, CallOpInterface callOp, BlockAndValueMapping &bvm,
// 4. Create the new CallOp.		// 4. Create the new CallOp.
Operation *newCallOp = b.create<CallOp>(callOp.getLoc(), funcOp.sym_name(),		Operation *newCallOp = b.create<CallOp>(callOp.getLoc(), funcOp.sym_name(),
resultTypes, newOperands);		resultTypes, newOperands);
newCallOp->setAttrs(callOp->getAttrs());		newCallOp->setAttrs(callOp->getAttrs());
// Delete the op at the end of bufferization.		// Delete the op at the end of bufferization.
return success();		return success();
}		}

/// tensor::CastOp bufferizes to memref::CastOp.
static LogicalResult bufferize(OpBuilder &b, tensor::CastOp castOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(castOp);

Value resultBuffer =
getResultBuffer(b, castOp->getResult(0), bvm, aliasInfo, allocationFn);
if (!resultBuffer)
return failure();
Type sourceType = resultBuffer.getType();
auto rankedMemRefType = sourceType.dyn_cast<MemRefType>();
auto unrankedMemRefType = sourceType.dyn_cast<UnrankedMemRefType>();
assert(rankedMemRefType \|\| unrankedMemRefType);
Attribute memorySpace = rankedMemRefType
? rankedMemRefType.getMemorySpace()
: unrankedMemRefType.getMemorySpace();
TensorType tensorType = castOp.getResult().getType().cast<TensorType>();
MemRefLayoutAttrInterface layout =
rankedMemRefType && tensorType.isa<RankedTensorType>()
? rankedMemRefType.getLayout()
: MemRefLayoutAttrInterface();
Type memRefType = getContiguousOrUnrankedMemRefType(
castOp.getResult().getType(), layout, memorySpace);
Value res =
b.create<memref::CastOp>(castOp.getLoc(), memRefType, resultBuffer);
aliasInfo.insertNewBufferEquivalence(res, castOp.getResult());
map(bvm, castOp.getResult(), res);
return success();
}

static LogicalResult bufferize(OpBuilder &b, arith::ConstantOp constantOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo) {
assert(constantOp.getType().dyn_cast<RankedTensorType>() &&
"not a constant ranked tensor");
auto moduleOp = constantOp->getParentOfType<ModuleOp>();
if (!moduleOp) {
return constantOp.emitError(
"cannot bufferize constants not within builtin.module op");
}
GlobalCreator globalCreator(moduleOp);

// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(constantOp);

auto globalMemref = globalCreator.getGlobalFor(constantOp);
Value memref = b.create<memref::GetGlobalOp>(
constantOp.getLoc(), globalMemref.type(), globalMemref.getName());
aliasInfo.insertNewBufferEquivalence(memref, constantOp.getResult());
map(bvm, constantOp, memref);

return success();
}

/// DimOp tensor operand is modified inplace. This allows leaving dead
/// tensors behind that will get DCE'd.
static LogicalResult bufferize(OpBuilder &b, tensor::DimOp dimOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(dimOp);

if (dimOp.source().getType().isa<RankedTensorType>()) {
Value v = lookup(bvm, dimOp.source());
assert(v && "missing buffer");
dimOp.result().replaceAllUsesWith(
b.create<memref::DimOp>(dimOp.getLoc(), v, dimOp.index()));
}
return success();
}

static LogicalResult bufferize(OpBuilder &b, scf::ForOp forOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);

for (OpResult opResult : forOp->getResults()) {
if (!opResult.getType().isa<TensorType>())
continue;
// TODO: Atm we bail on unranked TensorType because we don't know how to
// alloc an UnrankedMemRefType + its underlying ranked MemRefType.
assert(opResult.getType().isa<RankedTensorType>() &&
"unsupported unranked tensor");

// TODO: More general: Matching bbArg does not bufferize to a read.
Value resultBuffer =
getResultBuffer(b, opResult, bvm, aliasInfo, allocationFn);
if (!resultBuffer)
return failure();

OpOperand &opOperand = forOp.getOpOperandForResult(opResult);
BlockArgument bbArg = forOp.getRegionIterArgForOpOperand(opOperand);
aliasInfo.createAliasInfoEntry(resultBuffer);
aliasInfo.insertNewBufferEquivalence(bbArg, resultBuffer);
map(bvm, bbArg, resultBuffer);
map(bvm, opResult, resultBuffer);
}

return success();
}

static LogicalResult bufferize(OpBuilder &b, scf::IfOp ifOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);

for (OpResult opResult : ifOp->getResults()) {
if (!opResult.getType().isa<TensorType>())
continue;
// TODO: Atm we bail on unranked TensorType because we don't know how to
// alloc an UnrankedMemRefType + its underlying ranked MemRefType.
assert(opResult.getType().isa<RankedTensorType>() &&
"unsupported unranked tensor");

Value resultBuffer =
getResultBuffer(b, opResult, bvm, aliasInfo, allocationFn);
if (!resultBuffer)
return failure();

aliasInfo.createAliasInfoEntry(resultBuffer);
map(bvm, opResult, resultBuffer);
}

return success();
}

/// FuncOp always creates TensorToMemRef ops.		/// FuncOp always creates TensorToMemRef ops.
static LogicalResult bufferize(OpBuilder &b, FuncOp funcOp,		static LogicalResult bufferize(OpBuilder &b, FuncOp funcOp,
BlockAndValueMapping &bvm,		BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,		BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {		AllocationCallbacks &allocationFn) {
// Take a guard before anything else.		// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);		OpBuilder::InsertionGuard g(b);
b.setInsertionPointToStart(&funcOp.body().front());		b.setInsertionPointToStart(&funcOp.body().front());
Show All 10 Lines	for (auto bbArg : funcOp.getArguments()) {
Value bufferCast =		Value bufferCast =
b.create<memref::BufferCastOp>(funcOp.getLoc(), memRefType, bbArg);		b.create<memref::BufferCastOp>(funcOp.getLoc(), memRefType, bbArg);
aliasInfo.insertNewBufferEquivalence(bufferCast, bbArg);		aliasInfo.insertNewBufferEquivalence(bufferCast, bbArg);
map(bvm, bbArg, bufferCast);		map(bvm, bbArg, bufferCast);
}		}
return success();		return success();
}		}

/// InitTensor always allocates (unless it was eliminated).
/// TODO: consider hoisting across function boundaries prior to bufferization.
static LogicalResult bufferize(OpBuilder &b, InitTensorOp initTensorOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// The InitTensorOp may have been eliminated.
if (initTensorOp->getUses().empty())
return success();

// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(initTensorOp);

Value alloc = createNewAllocDeallocPairForShapedValue(
b, initTensorOp->getLoc(), initTensorOp.result(), aliasInfo,
allocationFn);
map(bvm, initTensorOp.result(), alloc);
return success();
}

/// ReturnOp always creates memref::TensorLoadOp.
static LogicalResult bufferize(OpBuilder &b, ReturnOp returnOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
// Cannot insert after returnOp.
b.setInsertionPoint(returnOp);

assert(isa<FuncOp>(returnOp->getParentOp()) &&
"only support FuncOp parent for ReturnOp");
for (OpOperand &operand : returnOp->getOpOperands()) {
auto tensorType = operand.get().getType().dyn_cast<TensorType>();
if (!tensorType)
continue;
Value v = lookup(bvm, operand.get());
assert(v && "missing buffer for result");
Value returnTensor = b.create<memref::TensorLoadOp>(returnOp.getLoc(), v);
operand.set(returnTensor);
aliasInfo.insertNewBufferEquivalence(returnTensor, v);
map(bvm, returnTensor, v);
}
return success();
}

/// Bufferization for TiledLoopOp..
static LogicalResult bufferize(OpBuilder &b, TiledLoopOp tiledLoopOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);

// Allocate output buffers if needed, forward output tensor args to the
// terminator.
Operation *yieldOp = tiledLoopOp.getBody()->getTerminator();
Block *body = tiledLoopOp.getBody();

// Take copies of the old input and output operands, so we can insert inplace
// easily.
auto oldInputs = llvm::to_vector<4>(tiledLoopOp.inputs());
auto oldOutputs = llvm::to_vector<4>(tiledLoopOp.outputs());

int numLoops = tiledLoopOp.getNumLoops();
int numControlOperands = tiledLoopOp.getNumControlOperands();

// Add buffers for outputs and the corresponding block arguments.
// Keep separate iterators to increment without further leaking impl. details.
// Start with outputs to avoid interference from new input buffers.
int numNewOutputBuffers = 0;
int resultIndex = 0;
int oldOutputBBArgIndex = numLoops + oldInputs.size();
int nextOutputBBArgIndex = numLoops + oldInputs.size() + oldOutputs.size();
int nextOutputOperandIndex =
numControlOperands + oldInputs.size() + oldOutputs.size();
for (Value oldOutputTensor : oldOutputs) {
if (!oldOutputTensor.getType().isa<TensorType>()) {
// Skip and increment the old bbarg index only.
++oldOutputBBArgIndex;
// Do not increment resultIndex as only tensors are returned.
// TODO: better interface to avoid leaking such impl details.
continue;
}

assert(oldOutputTensor.getType().isa<RankedTensorType>() &&
"bufferizable output must be a ranked tensor");

const OpResult &opResult = tiledLoopOp->getResult(resultIndex);
OpOperand &yieldOperand = yieldOp->getOpOperand(resultIndex);
Value resultBuffer =
getResultBuffer(b, opResult, bvm, aliasInfo, allocationFn);
if (!resultBuffer)
return failure();

// Insert mapping and aliasing info.
aliasInfo.createAliasInfoEntry(resultBuffer);
aliasInfo.insertNewBufferEquivalence(opResult, resultBuffer);
map(bvm, opResult, resultBuffer);

// Insert new operand and bbArg.
tiledLoopOp->insertOperands(nextOutputOperandIndex, resultBuffer);
BlockArgument newBufferBBArg =
body->insertArgument(nextOutputBBArgIndex, resultBuffer.getType());
BlockArgument oldTensorBBArg = body->getArgument(oldOutputBBArgIndex);
// Insert mapping and aliasing info.
aliasInfo.createAliasInfoEntry(newBufferBBArg);
aliasInfo.insertNewBufferEquivalence(oldTensorBBArg, newBufferBBArg);
map(bvm, oldTensorBBArg, newBufferBBArg);

// Set operand of `linalg.yield` to the bbArg so it just canonicalizes away
// later.
yieldOperand.set(oldTensorBBArg);

// Increment indices.
++numNewOutputBuffers;
++resultIndex;
++oldOutputBBArgIndex;
++nextOutputBBArgIndex;
++nextOutputOperandIndex;
}

// Add buffers for inputs and the corresponding block arguments.
// Keep separate iterators to increment without further leaking impl. details.
int numNewInputBuffers = 0;
int oldInputBBArgIndex = numLoops;
int nextInputBBArgIndex = numLoops + oldInputs.size();
int nextInputOperandIndex = numControlOperands + oldInputs.size();
for (Value oldInputTensor : oldInputs) {
if (!oldInputTensor.getType().isa<TensorType>()) {
// Skip and increment the old bbarg index only.
++oldInputBBArgIndex;
continue;
}

Value inputBuffer = lookup(bvm, oldInputTensor);
assert(inputBuffer && " missing buffer for operand");

// Insert new operand and bbArg.
tiledLoopOp->insertOperands(nextInputOperandIndex, inputBuffer);
BlockArgument newBufferBBArg =
body->insertArgument(nextInputBBArgIndex, inputBuffer.getType());
BlockArgument oldTensorBBArg = body->getArgument(oldInputBBArgIndex);

// Insert mapping and aliasing info.
aliasInfo.createAliasInfoEntry(newBufferBBArg);
aliasInfo.insertNewBufferEquivalence(oldTensorBBArg, newBufferBBArg);
map(bvm, oldTensorBBArg, newBufferBBArg);

// Increment indices.
++numNewInputBuffers;
++oldInputBBArgIndex;
++nextInputBBArgIndex;
++nextInputOperandIndex;
}

// Update segment sizes.
// TODO: Helper method to avoid leaking impl details.
tiledLoopOp->setAttr(
TiledLoopOp::getOperandSegmentSizeAttr(),
b.getI32VectorAttr(
{numLoops, numLoops, numLoops,
static_cast<int>(oldInputs.size()) + numNewInputBuffers,
static_cast<int>(oldOutputs.size()) + numNewOutputBuffers}));

return success();
}

/// Bufferize ExtractSliceOp to subview with optional alloc + copy depending on
/// whether or not it is marked inplaceable.
/// Note that `getInplaceableOpResult` on a ExtractSliceOp always returns null.
/// As consequence a ExtractSliceOp always alloc + copy when taken in
/// isolation.
static LogicalResult bufferize(OpBuilder &b, ExtractSliceOp extractSliceOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);

LDBG("bufferize: " << *extractSliceOp << '\n');

Location loc = extractSliceOp.getLoc();
// Bail if source was not bufferized.
Value srcMemref = lookup(bvm, extractSliceOp.source());
if (!srcMemref)
return failure();
auto srcMemrefType = srcMemref.getType().cast<MemRefType>();
auto dstTensorType =
extractSliceOp.result().getType().cast<RankedTensorType>();

// If not inplaceable, alloc.
Value alloc;
auto inPlace = getInPlace(extractSliceOp->getResult(0));
if (inPlace != InPlaceSpec::True)
alloc = createNewAllocDeallocPairForShapedValue(
b, loc, extractSliceOp.result(), aliasInfo, allocationFn);

// Set insertion point now that potential alloc/dealloc are introduced.
b.setInsertionPoint(extractSliceOp);

// Bufferize to subview.
auto subviewMemRefType =
memref::SubViewOp::inferRankReducedResultType(
dstTensorType.getRank(), srcMemrefType,
extractSliceOp.getMixedOffsets(), extractSliceOp.getMixedSizes(),
extractSliceOp.getMixedStrides())
.cast<MemRefType>();
Value subView = b.create<memref::SubViewOp>(
loc, subviewMemRefType, srcMemref, extractSliceOp.getMixedOffsets(),
extractSliceOp.getMixedSizes(), extractSliceOp.getMixedStrides());
// Insert new alias.
aliasInfo.insertNewBufferAlias(subView, srcMemref);

/// If not inplaceable, copy.
if (alloc) {
// Do not copy if the copied data is never read.
if (isValueRead(extractSliceOp.result()))
b.create<CopyOp>(extractSliceOp.getLoc(), subView, alloc);
subView = alloc;
}

map(bvm, extractSliceOp.result(), subView);
return success();
}

static LogicalResult bufferize(OpBuilder &b, InsertSliceOp insertSliceOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(insertSliceOp);

LDBG("bufferize: " << *insertSliceOp << '\n');

Location loc = insertSliceOp.getLoc();
// Since insert_slice arise from tiling and introducing loops, this
// case is generally a deal breaker. When used with loops, this ends up
// cloning the whole tensor on every single iteration and is a symptom
// of a catastrophically bad scheduling decision.
// TODO: be very loud about it or even consider failing the pass.
// Alloc a copy for `insertSliceOp.dest()`, it will become the result
// buffer.
Value dstMemref = getResultBuffer(b, insertSliceOp->getResult(0), bvm,
aliasInfo, allocationFn);
if (!dstMemref)
return failure();
auto dstMemrefType = dstMemref.getType().cast<MemRefType>();

Value srcMemref = lookup(bvm, insertSliceOp.source());
if (!srcMemref)
return failure();
auto subviewMemRefType =
memref::SubViewOp::inferRankReducedResultType(
insertSliceOp.getSourceType().getRank(), dstMemrefType,
insertSliceOp.getMixedOffsets(), insertSliceOp.getMixedSizes(),
insertSliceOp.getMixedStrides())
.cast<MemRefType>();

// A copy of the source buffer is needed if either:
// - The producer of `source` is not inplace. This is the case where a
// slice is computed out of place into the inplace full tensor.
// - The result is not inplace. This is the case where the whole tensor is
// cloned and the clone needs to be updated.
auto inPlace = getInPlace(insertSliceOp->getResult(0));
// TODO: Is this necessary?
if (!aliasInfo.isSourceEquivalentToAMatchingInplaceExtractSliceOp(
insertSliceOp) \|\|
inPlace != InPlaceSpec::True) {
LDBG("insert_slice needs extra source copy: " << insertSliceOp.source()
<< " -> copy\n");
// Take a subview of the dst.
Value subView = b.create<memref::SubViewOp>(
loc, subviewMemRefType, dstMemref, insertSliceOp.getMixedOffsets(),
insertSliceOp.getMixedSizes(), insertSliceOp.getMixedStrides());
// Insert new alias.
aliasInfo.insertNewBufferAlias(subView, dstMemref);
b.create<CopyOp>(insertSliceOp.getLoc(), srcMemref, subView);
}

map(bvm, insertSliceOp.result(), dstMemref);

return success();
}

static LogicalResult bufferize(OpBuilder &b, VectorTransferOpInterface op,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFn) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(op);

if (op.getShapedType().isa<MemRefType>())
return failure();

/// transfer_read from buffer always reads from the bufferized
/// op.source().
if (auto readOp = dyn_cast<vector::TransferReadOp>(op.getOperation())) {
Value v = lookup(bvm, op.source());
assert(v && "missing buffer");
readOp.sourceMutable().assign(v);
return success();
}

// 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.
auto writeOp = cast<vector::TransferWriteOp>(op.getOperation());
Value resultBuffer =
getResultBuffer(b, op->getResult(0), bvm, aliasInfo, allocationFn);
if (!resultBuffer)
return failure();
b.create<vector::TransferWriteOp>(
op.getLoc(), writeOp.vector(), resultBuffer, writeOp.indices(),
writeOp.permutation_map(),
writeOp.in_bounds() ? *writeOp.in_bounds() : ArrayAttr());
map(bvm, op->getResult(0), resultBuffer);

return success();
}

static LogicalResult bufferize(OpBuilder &b, scf::YieldOp yieldOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
// Cannot create IR past a yieldOp.
b.setInsertionPoint(yieldOp);

if (auto execOp = dyn_cast<scf::ExecuteRegionOp>(yieldOp->getParentOp())) {
if (execOp->getNumResults() != 0)
return execOp->emitError(
"expected result-less scf.execute_region containing op");
return success();
}

if (auto ifOp = dyn_cast<scf::IfOp>(yieldOp->getParentOp()))
return success();

scf::ForOp forOp = dyn_cast<scf::ForOp>(yieldOp->getParentOp());
if (!forOp)
return yieldOp->emitError("expected scf::ForOp parent for scf::YieldOp");
for (OpOperand &operand : yieldOp->getOpOperands()) {
auto tensorType = operand.get().getType().dyn_cast<TensorType>();
if (!tensorType)
continue;

OpOperand &forOperand = forOp.getOpOperandForResult(
forOp->getResult(operand.getOperandNumber()));
auto bbArg = forOp.getRegionIterArgForOpOperand(forOperand);
Value yieldedBuffer = lookup(bvm, operand.get());
Value bbArgBuffer = lookup(bvm, bbArg);
if (!aliasInfo.areEquivalentBufferizedValues(yieldedBuffer, bbArgBuffer)) {
// TODO: this could get resolved with copies but it can also turn into
// swaps so we need to be careful about order of copies.
return yieldOp->emitError()
<< "Yield operand #" << operand.getOperandNumber()
<< " does not bufferize to an equivalent buffer to the matching"
<< " enclosing scf::for operand";
}

// Buffers are equivalent so the work is already done and we just yield the
// bbArg so that it later canonicalizes away.
operand.set(bbArg);
}
return success();
}

/// Bufferization for linalg::YieldOp either does not involve tensors or just
/// results in later canonicalization. In either case it does nothing.
static LogicalResult bufferize(OpBuilder &b, linalg::YieldOp yieldOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
// Cannot create IR past a yieldOp.
b.setInsertionPoint(yieldOp);

// No tensors -> success.
if (!llvm::any_of(yieldOp.getOperandTypes(), isaTensor))
return success();
// linalg::YieldOp nested under TiledLoop must just canonicalize.
if (yieldOp->getParentOfType<TiledLoopOp>())
return success();
llvm_unreachable("unexpected yieldOp");
}

/// Bufferization for tensor::ExtractOp just translate to memref.load, it only
/// reads the tensor.
static LogicalResult bufferize(OpBuilder &b, tensor::ExtractOp extractOp,
BlockAndValueMapping &bvm,
BufferizationAliasInfo &aliasInfo) {
// Take a guard before anything else.
OpBuilder::InsertionGuard g(b);
b.setInsertionPoint(extractOp);

Location loc = extractOp.getLoc();
Value srcMemref = lookup(bvm, extractOp.tensor());
Value l = b.create<memref::LoadOp>(loc, srcMemref, extractOp.indices());
extractOp.replaceAllUsesWith(l);
return success();
}
//===----------------------------------------------------------------------===//		//===----------------------------------------------------------------------===//
// Bufferization analyses.		// Bufferization analyses.
//===----------------------------------------------------------------------===//		//===----------------------------------------------------------------------===//

/// Determine if `operand` can be bufferized in-place with `result`. If so, set		/// Determine if `operand` can be bufferized in-place with `result`. If so, set
/// InPlaceSpec::True on the result. Otherwise, set InPlaceSpec::False on the		/// InPlaceSpec::True on the result. Otherwise, set InPlaceSpec::False on the
/// result.		/// result.
static LogicalResult		static LogicalResult
▲ Show 20 Lines • Show All 41 Lines • ▼ Show 20 Lines
/// sets of the source and the result buffers.		/// sets of the source and the result buffers.
///		///
/// An analysis is required to ensure inplace bufferization would not result in		/// An analysis is required to ensure inplace bufferization would not result in
/// RaW dependence violations.		/// RaW dependence violations.
static LogicalResult		static LogicalResult
bufferizableInPlaceAnalysisAliasOnlyOp(OpOperand &operand,		bufferizableInPlaceAnalysisAliasOnlyOp(OpOperand &operand,
BufferizationAliasInfo &aliasInfo,		BufferizationAliasInfo &aliasInfo,
const DominanceInfo &domInfo) {		const DominanceInfo &domInfo) {
OpResult result = getAliasingOpResult(operand);		auto bufferizableOp = dyn_cast<BufferizableOpInterface>(operand.getOwner());
		assert(bufferizableOp && "expected op with known bufferization behavior");
		OpResult result = bufferizableOp.getAliasingOpResult(operand);
assert(result && "expected that the OpOperand has an aliasing OpResult");		assert(result && "expected that the OpOperand has an aliasing OpResult");
return bufferizableInPlaceAnalysisImpl(operand, result, aliasInfo, domInfo);		return bufferizableInPlaceAnalysisImpl(operand, result, aliasInfo, domInfo);
}		}

/// Determine if `operand` can be bufferized in-place with one of the op's		/// Determine if `operand` can be bufferized in-place with one of the op's
/// results. If so, set InPlaceSpec::True on the result. Otherwise, set		/// results. If so, set InPlaceSpec::True on the result. Otherwise, set
/// InPlaceSpec::False on the result.		/// InPlaceSpec::False on the result.
static LogicalResult		static LogicalResult
bufferizableInPlaceAnalysis(OpOperand &operand,		bufferizableInPlaceAnalysis(OpOperand &operand,
BufferizationAliasInfo &aliasInfo,		BufferizationAliasInfo &aliasInfo,
const DominanceInfo &domInfo) {		const DominanceInfo &domInfo) {
OpResult result = getInplaceableOpResult(operand);		auto bufferizableOp = dyn_cast<BufferizableOpInterface>(operand.getOwner());
if (!result)		if (!bufferizableOp)
return success();		return success();
		if (OpResult result = bufferizableOp.getInplaceableOpResult(operand))
return bufferizableInPlaceAnalysisImpl(operand, result, aliasInfo, domInfo);		return bufferizableInPlaceAnalysisImpl(operand, result, aliasInfo, domInfo);
		return success();
}		}

/// Analyze the `ops` to determine which OpResults are inplaceable. Walk ops in		/// Analyze the `ops` to determine which OpResults are inplaceable. Walk ops in
/// reverse and bufferize ops greedily. This is a good starter heuristic.		/// reverse and bufferize ops greedily. This is a good starter heuristic.
/// ExtractSliceOps are interleaved with other ops in traversal order.		/// ExtractSliceOps are interleaved with other ops in traversal order.
LogicalResult mlir::linalg::inPlaceAnalysis(SmallVector<Operation *> &ops,		LogicalResult mlir::linalg::inPlaceAnalysis(SmallVector<Operation *> &ops,
BufferizationAliasInfo &aliasInfo,		BufferizationAliasInfo &aliasInfo,
const DominanceInfo &domInfo,		const DominanceInfo &domInfo,
unsigned analysisFuzzerSeed) {		unsigned analysisFuzzerSeed) {
if (analysisFuzzerSeed) {		if (analysisFuzzerSeed) {
// This is a fuzzer. For testing purposes only. Randomize the order in which		// This is a fuzzer. For testing purposes only. Randomize the order in which
// operations are analyzed. The bufferization quality is likely worse, but		// operations are analyzed. The bufferization quality is likely worse, but
// we want to make sure that no assertions are triggered anywhere.		// we want to make sure that no assertions are triggered anywhere.
std::mt19937 g(analysisFuzzerSeed);		std::mt19937 g(analysisFuzzerSeed);
llvm::shuffle(ops.begin(), ops.end(), g);		llvm::shuffle(ops.begin(), ops.end(), g);
}		}

// Walk ops in reverse for better interference analysis.		// Walk ops in reverse for better interference analysis.
for (Operation *op : reverse(ops)) {		for (Operation *op : reverse(ops)) {
for (OpOperand &opOperand : op->getOpOperands()) {		for (OpOperand &opOperand : op->getOpOperands())
		if (opOperand.get().getType().isa<TensorType>()) {
if (failed(bufferizableInPlaceAnalysis(opOperand, aliasInfo, domInfo)))		if (failed(bufferizableInPlaceAnalysis(opOperand, aliasInfo, domInfo)))
return failure();		return failure();

// Special logic to analyze OpOperands that are not inplaceable on an		// Special logic to analyze OpOperands that are not inplaceable on an
// OpResult but may create an alias.		// OpResult but may create an alias.
if (bufferizesToAliasOnly(opOperand))		if (bufferizesToAliasOnly(opOperand))
if (failed(bufferizableInPlaceAnalysisAliasOnlyOp(opOperand, aliasInfo,		if (failed(bufferizableInPlaceAnalysisAliasOnlyOp(
domInfo)))		opOperand, aliasInfo, domInfo)))
return failure();		return failure();
}		}
}		}

return success();		return success();
}		}

/// Analyze the `funcOp` body to determine which OpResults are inplaceable.		/// Analyze the `funcOp` body to determine which OpResults are inplaceable.
static LogicalResult		static LogicalResult
inPlaceAnalysisFuncOpBody(FuncOp funcOp, BufferizationAliasInfo &aliasInfo,		inPlaceAnalysisFuncOpBody(FuncOp funcOp, BufferizationAliasInfo &aliasInfo,
▲ Show 20 Lines • Show All 119 Lines • ▼ Show 20 Lines	void mlir::linalg::defaultDeallocationFn(OpBuilder &b, Location loc,
b.create<memref::DeallocOp>(loc, allocatedBuffer);		b.create<memref::DeallocOp>(loc, allocatedBuffer);
}		}

LogicalResult mlir::linalg::bufferizeOp(		LogicalResult mlir::linalg::bufferizeOp(
Operation *op, BlockAndValueMapping &bvm, BufferizationAliasInfo &aliasInfo,		Operation *op, BlockAndValueMapping &bvm, BufferizationAliasInfo &aliasInfo,
AllocationCallbacks allocationFns,		AllocationCallbacks allocationFns,
DenseMap<FuncOp, FunctionType> *bufferizedFunctionTypes) {		DenseMap<FuncOp, FunctionType> *bufferizedFunctionTypes) {
OpBuilder b(op->getContext());		OpBuilder b(op->getContext());
return TypeSwitch<Operation *, LogicalResult>(op)
// Skip BufferCast and TensorLoad ops.		// CallOps are handled separately.
.Case<memref::BufferCastOp, memref::TensorLoadOp>(		if (auto callOp = dyn_cast<CallOpInterface>(op)) {
[&](auto) { return success(); })		LDBG("Begin bufferize:\n" << callOp << '\n');
.Case<ExtractSliceOp, InitTensorOp, InsertSliceOp, LinalgOp, scf::ForOp,
scf::IfOp, tensor::CastOp, TiledLoopOp, VectorTransferOpInterface>(
[&](auto op) {
LDBG("Begin bufferize:\n" << op << '\n');
return bufferize(b, op, bvm, aliasInfo, allocationFns);
})
.Case<tensor::DimOp, tensor::ExtractOp, ReturnOp, linalg::YieldOp,
scf::YieldOp>([&](auto op) {
LDBG("Begin bufferize:\n" << op << '\n');
return bufferize(b, op, bvm, aliasInfo);
})
.Case([&](CallOpInterface op) {
LDBG("Begin bufferize:\n" << op << '\n');
if (!bufferizedFunctionTypes)		if (!bufferizedFunctionTypes)
llvm_unreachable(		llvm_unreachable(
"null bufferizedFunctionTypes when bufferizing CallOpInterface");		"null bufferizedFunctionTypes when bufferizing CallOpInterface");
return bufferize(b, op, bvm, aliasInfo, allocationFns,		return bufferize(b, callOp, bvm, aliasInfo, allocationFns,
*bufferizedFunctionTypes);		*bufferizedFunctionTypes);
})		}
.Case([&](arith::ConstantOp op) {
if (!isaTensor(op.getResult().getType()))		// Skip BufferCast and TensorLoad ops.
return success();		if (isa<memref::BufferCastOp, memref::TensorLoadOp>(op))
LDBG("Begin bufferize:\n" << op << '\n');		return success();
return bufferize(b, op, bvm, aliasInfo);
})		// Bufferize using `BufferizableOpInterface`.
.Default([&](Operation *op) -> LogicalResult {		if (auto bufferizableOp = dyn_cast<BufferizableOpInterface>(op))
		return bufferizableOp.bufferize(b, bvm, aliasInfo, allocationFns);

		// Other op with tensors. No bufferization method specified.
auto isaTensor = [](Type t) { return t.isa<TensorType>(); };		auto isaTensor = [](Type t) { return t.isa<TensorType>(); };
if (any_of(op->getOperandTypes(), isaTensor) \|\|		if (any_of(op->getOperandTypes(), isaTensor) \|\|
any_of(op->getResultTypes(), isaTensor))		any_of(op->getResultTypes(), isaTensor))
return op->emitError() << "unsupported op with tensors";		return op->emitError() << "unsupported op with tensors";
return success();		return success();
});
}		}

static LogicalResult bufferizeFuncOpInternals(		static LogicalResult bufferizeFuncOpInternals(
FuncOp funcOp, BlockAndValueMapping &bvm, BufferizationAliasInfo &aliasInfo,		FuncOp funcOp, BlockAndValueMapping &bvm, BufferizationAliasInfo &aliasInfo,
AllocationCallbacks &allocationFns,		AllocationCallbacks &allocationFns,
DenseMap<FuncOp, FunctionType> &bufferizedFunctionTypes) {		DenseMap<FuncOp, FunctionType> &bufferizedFunctionTypes) {
LLVM_DEBUG(llvm::dbgs() << "\n\n");		LLVM_DEBUG(llvm::dbgs() << "\n\n");
LDBG("Begin BufferizeFuncOpInternals:\n" << funcOp << '\n');		LDBG("Begin BufferizeFuncOpInternals:\n" << funcOp << '\n');
▲ Show 20 Lines • Show All 302 Lines • ▼ Show 20 Lines	struct LinalgComprehensiveModuleBufferize
LinalgComprehensiveModuleBufferize() {}		LinalgComprehensiveModuleBufferize() {}

LinalgComprehensiveModuleBufferize(		LinalgComprehensiveModuleBufferize(
const LinalgComprehensiveModuleBufferize &p) {}		const LinalgComprehensiveModuleBufferize &p) {}

void runOnOperation() override;		void runOnOperation() override;

void getDependentDialects(DialectRegistry &registry) const override {		void getDependentDialects(DialectRegistry &registry) const override {
registry.insert<linalg::LinalgDialect, memref::MemRefDialect>();		registry
		.insert<linalg::LinalgDialect, memref::MemRefDialect,
		tensor::TensorDialect, vector::VectorDialect, scf::SCFDialect,
		arith::ArithmeticDialect, StandardOpsDialect>();
		registerBufferiableOpInterfaceExternalModels(registry);
}		}

private:		private:
std::unique_ptr<AllocationCallbacks> allocationFns;		std::unique_ptr<AllocationCallbacks> allocationFns;
};		};
} // end namespace		} // end namespace

static void applyEnablingTransformations(ModuleOp moduleOp) {		static void applyEnablingTransformations(ModuleOp moduleOp) {
▲ Show 20 Lines • Show All 289 Lines • ▼ Show 20 Lines	void LinalgComprehensiveModuleBufferize::runOnOperation() {
cleanupPipeline.addPass(createCSEPass());		cleanupPipeline.addPass(createCSEPass());
cleanupPipeline.addPass(createLoopInvariantCodeMotionPass());		cleanupPipeline.addPass(createLoopInvariantCodeMotionPass());
(void)runPipeline(cleanupPipeline, moduleOp);		(void)runPipeline(cleanupPipeline, moduleOp);
}		}

std::unique_ptr<Pass> mlir::createLinalgComprehensiveModuleBufferizePass() {		std::unique_ptr<Pass> mlir::createLinalgComprehensiveModuleBufferizePass() {
return std::make_unique<LinalgComprehensiveModuleBufferize>();		return std::make_unique<LinalgComprehensiveModuleBufferize>();
}		}

		//===----------------------------------------------------------------------===//
		// BufferizableOpInterface Implementations
		//===----------------------------------------------------------------------===//

		// TODO: Move these to a different file and BUILD target, so that they are
		// decoupled from ComprehensiveBufferize.

		namespace mlir {
		namespace linalg {
		namespace arith_ext {

		struct ConstantOpInterface
		: public BufferizableOpInterface::ExternalModel<ConstantOpInterface,
		arith::ConstantOp> {
		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		return {};
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto constantOp = cast<arith::ConstantOp>(op);
		if (!isaTensor(constantOp.getResult().getType()))
		return success();
		assert(constantOp.getType().dyn_cast<RankedTensorType>() &&
		"not a constant ranked tensor");
		auto moduleOp = constantOp->getParentOfType<ModuleOp>();
		if (!moduleOp) {
		return constantOp.emitError(
		"cannot bufferize constants not within builtin.module op");
		}
		GlobalCreator globalCreator(moduleOp);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(constantOp);

		auto globalMemref = globalCreator.getGlobalFor(constantOp);
		Value memref = b.create<memref::GetGlobalOp>(
		constantOp.getLoc(), globalMemref.type(), globalMemref.getName());
		aliasInfo.insertNewBufferEquivalence(memref, constantOp.getResult());
		map(bvm, constantOp, memref);

		return success();
		}
		};

		} // namespace arith_ext

		// TODO: Ops in the linalg dialect can directly implement this interface.
		namespace linalg_ext {

		/// Helper function for LinalgOp bufferization.
		/// When allocating a new buffer, analyze whether `op` wants to read form that
		/// buffer. Only in that case, a copy of the result buffer may be needed.
		static LogicalResult allocateBuffersForResults(
		OpBuilder &b, Location loc, LinalgOp op,
		SmallVectorImpl<Value> &resultBuffers, BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo, AllocationCallbacks &allocationFns) {
		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(op);

		// TODO: provide the proper interface to iterate on OpResults and get the
		// matching OpOperands.
		for (OpOperand *opOperand : op.getOutputOperands()) {
		OpResult opResult = cast<BufferizableOpInterface>(op.getOperation())
		.getInplaceableOpResult(*opOperand);
		assert(opResult && "could not find correspond OpResult");
		bool skipCopy = !op.payloadUsesValueFromOperand(opOperand);
		Value resultBuffer =
		getResultBuffer(b, opResult, bvm, aliasInfo, allocationFns, skipCopy);
		if (!resultBuffer)
		return failure();
		resultBuffers.push_back(resultBuffer);
		}

		if (op->getNumResults())
		map(bvm, op->getResults(), resultBuffers);

		return success();
		}

		/// Generic conversion for any LinalgOp on tensors.
		static LogicalResult bufferizeLinalgOp(OpBuilder &b, LinalgOp op,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFns) {
		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);

		// Ensure op has only tensors. Allow mixed tensor-buffer mode on a per-need
		// basis.
		if (!op.hasTensorSemantics())
		return op->emitError() << "op does not have tensor semantics";

		Location loc = op.getLoc();
		SmallVector<Value> newInputBuffers;
		newInputBuffers.reserve(op.getNumInputs());
		for (OpOperand *opOperand : op.getInputOperands()) {
		if (op.isScalar(opOperand)) {
		newInputBuffers.push_back(opOperand->get());
		continue;
		}
		newInputBuffers.push_back(lookup(bvm, opOperand->get()));
		assert(newInputBuffers.back() && "missing buffer");
		}
		SmallVector<Value> newOutputBuffers;
		// Try to allocate new buffers depending on op's inplace semantics.
		if (failed(allocateBuffersForResults(b, loc, op, newOutputBuffers, bvm,
		aliasInfo, allocationFns)))
		return failure();

		// Clone the newly bufferized op.
		SmallVector<Value> newOperands = newInputBuffers;
		newOperands.append(newOutputBuffers.begin(), newOutputBuffers.end());

		// Set insertion point now that potential alloc/dealloc are introduced.
		b.setInsertionPoint(op);
		op.clone(b, loc, /resultTypes=/TypeRange{}, newOperands);

		// Replace the results of the old op with the new output buffers.
		if (op->getNumResults())
		map(bvm, op->getResults(), newOutputBuffers);

		// The original op will be DCE'd away later.

		return success();
		}

		template <typename OpTy>
		struct LinalgOpInterface
		: public BufferizableOpInterface::ExternalModel<LinalgOpInterface<OpTy>,
		OpTy> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		auto genericOp = cast<linalg::LinalgOp>(op);
		return genericOp.isInputTensor(&opOperand) \|\|
		genericOp.isInitTensor(&opOperand);
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		auto genericOp = cast<linalg::LinalgOp>(op);
		return genericOp.isOutputTensor(&opOperand);
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		auto genericOp = cast<linalg::LinalgOp>(op);
		return {genericOp.getOutputTensorOperands()[opResult.getResultNumber()]};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		auto genericOp = cast<linalg::LinalgOp>(op);
		if (!opOperand.get().getType().isa<RankedTensorType>())
		return OpResult();
		// For now assume inputs are never inplaceable.
		// TODO: refine this.
		if (opOperand.getOperandNumber() < genericOp.getNumInputs())
		return OpResult();
		int64_t outputOperandIndex =
		opOperand.getOperandNumber() - genericOp.getNumInputs();
		int64_t numOutputBuffers = 0;
		for (unsigned idx = 0; idx < outputOperandIndex; ++idx)
		if (!genericOp.getOutputOperand(idx)->get().getType().isa<TensorType>())
		++numOutputBuffers;
		return genericOp->getResult(outputOperandIndex - numOutputBuffers);
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::Equivalent;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		return bufferizeLinalgOp(b, cast<LinalgOp>(op), bvm, aliasInfo,
		allocationFn);
		}
		};

		struct InitTensorOpInterface
		: public BufferizableOpInterface::ExternalModel<InitTensorOpInterface,
		linalg::InitTensorOp> {
		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		return {};
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto initTensorOp = cast<linalg::InitTensorOp>(op);

		// The InitTensorOp may have been eliminated.
		if (initTensorOp->getUses().empty())
		return success();

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(initTensorOp);

		Value alloc = createNewAllocDeallocPairForShapedValue(
		b, initTensorOp->getLoc(), initTensorOp.result(), aliasInfo,
		allocationFn);
		map(bvm, initTensorOp.result(), alloc);
		return success();
		}
		};

		struct TiledLoopOpInterface
		: public BufferizableOpInterface::ExternalModel<TiledLoopOpInterface,
		linalg::TiledLoopOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		// TiledLoop alone doesn't bufferize to a memory read, one of the uses of
		// its matching bbArg may.
		auto tiledLoopOp = cast<linalg::TiledLoopOp>(op);
		return isValueRead(tiledLoopOp.getTiedBlockArgument(opOperand));
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		// TiledLoop alone doesn't bufferize to a memory write, one of the uses of
		// its matching bbArg may.
		auto bufferizableOp = cast<BufferizableOpInterface>(op);
		return static_cast<bool>(bufferizableOp.getAliasingOpResult(opOperand));
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		// TODO: TiledLoopOp helper method to avoid leaking impl details.
		auto tiledLoopOp = cast<linalg::TiledLoopOp>(op);
		return {&op->getOpOperand(tiledLoopOp.getNumControlOperands() +
		tiledLoopOp.getNumInputs() +
		opResult.getResultNumber())};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		auto tiledLoopOp = cast<linalg::TiledLoopOp>(op);
		return tiledLoopOp.getTiedOpResult(opOperand);
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::Equivalent;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto tiledLoopOp = cast<linalg::TiledLoopOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);

		// Allocate output buffers if needed, forward output tensor args to the
		// terminator.
		Operation *yieldOp = tiledLoopOp.getBody()->getTerminator();
		Block *body = tiledLoopOp.getBody();

		// Take copies of the old input and output operands, so we can insert
		// inplace easily.
		auto oldInputs = llvm::to_vector<4>(tiledLoopOp.inputs());
		auto oldOutputs = llvm::to_vector<4>(tiledLoopOp.outputs());

		int numLoops = tiledLoopOp.getNumLoops();
		int numControlOperands = tiledLoopOp.getNumControlOperands();

		// Add buffers for outputs and the corresponding block arguments.
		// Keep separate iterators to increment without further leaking impl.
		// details. Start with outputs to avoid interference from new input buffers.
		int numNewOutputBuffers = 0;
		int resultIndex = 0;
		int oldOutputBBArgIndex = numLoops + oldInputs.size();
		int nextOutputBBArgIndex = numLoops + oldInputs.size() + oldOutputs.size();
		int nextOutputOperandIndex =
		numControlOperands + oldInputs.size() + oldOutputs.size();
		for (Value oldOutputTensor : oldOutputs) {
		if (!oldOutputTensor.getType().isa<TensorType>()) {
		// Skip and increment the old bbarg index only.
		++oldOutputBBArgIndex;
		// Do not increment resultIndex as only tensors are returned.
		// TODO: better interface to avoid leaking such impl details.
		continue;
		}

		assert(oldOutputTensor.getType().isa<RankedTensorType>() &&
		"bufferizable output must be a ranked tensor");

		const OpResult &opResult = tiledLoopOp->getResult(resultIndex);
		OpOperand &yieldOperand = yieldOp->getOpOperand(resultIndex);
		Value resultBuffer =
		getResultBuffer(b, opResult, bvm, aliasInfo, allocationFn);
		if (!resultBuffer)
		return failure();

		// Insert mapping and aliasing info.
		aliasInfo.createAliasInfoEntry(resultBuffer);
		aliasInfo.insertNewBufferEquivalence(opResult, resultBuffer);
		map(bvm, opResult, resultBuffer);

		// Insert new operand and bbArg.
		tiledLoopOp->insertOperands(nextOutputOperandIndex, resultBuffer);
		BlockArgument newBufferBBArg =
		body->insertArgument(nextOutputBBArgIndex, resultBuffer.getType());
		BlockArgument oldTensorBBArg = body->getArgument(oldOutputBBArgIndex);
		// Insert mapping and aliasing info.
		aliasInfo.createAliasInfoEntry(newBufferBBArg);
		aliasInfo.insertNewBufferEquivalence(oldTensorBBArg, newBufferBBArg);
		map(bvm, oldTensorBBArg, newBufferBBArg);

		// Set operand of `linalg.yield` to the bbArg so it just canonicalizes
		// away later.
		yieldOperand.set(oldTensorBBArg);

		// Increment indices.
		++numNewOutputBuffers;
		++resultIndex;
		++oldOutputBBArgIndex;
		++nextOutputBBArgIndex;
		++nextOutputOperandIndex;
		}

		// Add buffers for inputs and the corresponding block arguments.
		// Keep separate iterators to increment without further leaking impl.
		// details.
		int numNewInputBuffers = 0;
		int oldInputBBArgIndex = numLoops;
		int nextInputBBArgIndex = numLoops + oldInputs.size();
		int nextInputOperandIndex = numControlOperands + oldInputs.size();
		for (Value oldInputTensor : oldInputs) {
		if (!oldInputTensor.getType().isa<TensorType>()) {
		// Skip and increment the old bbarg index only.
		++oldInputBBArgIndex;
		continue;
		}

		Value inputBuffer = lookup(bvm, oldInputTensor);
		assert(inputBuffer && " missing buffer for operand");

		// Insert new operand and bbArg.
		tiledLoopOp->insertOperands(nextInputOperandIndex, inputBuffer);
		BlockArgument newBufferBBArg =
		body->insertArgument(nextInputBBArgIndex, inputBuffer.getType());
		BlockArgument oldTensorBBArg = body->getArgument(oldInputBBArgIndex);

		// Insert mapping and aliasing info.
		aliasInfo.createAliasInfoEntry(newBufferBBArg);
		aliasInfo.insertNewBufferEquivalence(oldTensorBBArg, newBufferBBArg);
		map(bvm, oldTensorBBArg, newBufferBBArg);

		// Increment indices.
		++numNewInputBuffers;
		++oldInputBBArgIndex;
		++nextInputBBArgIndex;
		++nextInputOperandIndex;
		}

		// Update segment sizes.
		// TODO: Helper method to avoid leaking impl details.
		tiledLoopOp->setAttr(
		TiledLoopOp::getOperandSegmentSizeAttr(),
		b.getI32VectorAttr(
		{numLoops, numLoops, numLoops,
		static_cast<int>(oldInputs.size()) + numNewInputBuffers,
		static_cast<int>(oldOutputs.size()) + numNewOutputBuffers}));

		return success();
		}
		};

		struct YieldOpInterface
		: public BufferizableOpInterface::ExternalModel<YieldOpInterface,
		linalg::YieldOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto yieldOp = cast<linalg::YieldOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		// Cannot create IR past a yieldOp.
		b.setInsertionPoint(yieldOp);

		// No tensors -> success.
		if (!llvm::any_of(yieldOp.getOperandTypes(), isaTensor))
		return success();
		// linalg::YieldOp nested under TiledLoop must just canonicalize.
		if (yieldOp->getParentOfType<TiledLoopOp>())
		return success();
		llvm_unreachable("unexpected yieldOp");
		}
		};

		} // namespace linalg_ext

		namespace scf_ext {

		struct IfOpInterface
		: public BufferizableOpInterface::ExternalModel<IfOpInterface, scf::IfOp> {
		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		auto ifOp = cast<scf::IfOp>(op);
		// Either one of the corresponding yield values from the then/else branches
		// may alias with the result.
		size_t resultNum = std::distance(op->getOpResults().begin(),
		llvm::find(op->getOpResults(), opResult));
		return {&ifOp.thenYield()->getOpOperand(resultNum),
		&ifOp.elseYield()->getOpOperand(resultNum)};
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto ifOp = cast<scf::IfOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);

		for (OpResult opResult : ifOp->getResults()) {
		if (!opResult.getType().isa<TensorType>())
		continue;
		// TODO: Atm we bail on unranked TensorType because we don't know how to
		// alloc an UnrankedMemRefType + its underlying ranked MemRefType.
		assert(opResult.getType().isa<RankedTensorType>() &&
		"unsupported unranked tensor");

		Value resultBuffer =
		getResultBuffer(b, opResult, bvm, aliasInfo, allocationFn);
		if (!resultBuffer)
		return failure();

		aliasInfo.createAliasInfoEntry(resultBuffer);
		map(bvm, opResult, resultBuffer);
		}

		return success();
		}
		};

		struct ForOpInterface
		: public BufferizableOpInterface::ExternalModel<ForOpInterface,
		scf::ForOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		// scf::ForOp alone doesn't bufferize to a memory read, one of the uses of
		// its matching bbArg may.
		auto forOp = cast<scf::ForOp>(op);
		return isValueRead(forOp.getRegionIterArgForOpOperand(opOperand));
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		// Tensor iter_args of scf::ForOps are always considered as a write. This is
		// to simplify the analysis.
		// TODO: Consider doing sth. like isValueWritten.
		return true;
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		auto forOp = cast<scf::ForOp>(op);
		return {&forOp.getIterOpOperands()[opResult.getResultNumber()]};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		auto forOp = cast<scf::ForOp>(op);
		if (!opOperand.get().getType().isa<RankedTensorType>())
		return OpResult();
		return forOp.getResultForOpOperand(opOperand);
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::Equivalent;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto forOp = cast<scf::ForOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);

		for (OpResult opResult : forOp->getResults()) {
		if (!opResult.getType().isa<TensorType>())
		continue;
		// TODO: Atm we bail on unranked TensorType because we don't know how to
		// alloc an UnrankedMemRefType + its underlying ranked MemRefType.
		assert(opResult.getType().isa<RankedTensorType>() &&
		"unsupported unranked tensor");

		// TODO: More general: Matching bbArg does not bufferize to a read.
		Value resultBuffer =
		getResultBuffer(b, opResult, bvm, aliasInfo, allocationFn);
		if (!resultBuffer)
		return failure();

		OpOperand &opOperand = forOp.getOpOperandForResult(opResult);
		BlockArgument bbArg = forOp.getRegionIterArgForOpOperand(opOperand);
		aliasInfo.createAliasInfoEntry(resultBuffer);
		aliasInfo.insertNewBufferEquivalence(bbArg, resultBuffer);
		map(bvm, bbArg, resultBuffer);
		map(bvm, opResult, resultBuffer);
		}

		return success();
		}
		};

		struct YieldOpInterface
		: public BufferizableOpInterface::ExternalModel<YieldOpInterface,
		scf::YieldOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto yieldOp = cast<scf::YieldOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		// Cannot create IR past a yieldOp.
		b.setInsertionPoint(yieldOp);

		if (auto execOp = dyn_cast<scf::ExecuteRegionOp>(yieldOp->getParentOp())) {
		if (execOp->getNumResults() != 0)
		return execOp->emitError(
		"expected result-less scf.execute_region containing op");
		return success();
		}

		if (auto ifOp = dyn_cast<scf::IfOp>(yieldOp->getParentOp()))
		return success();

		scf::ForOp forOp = dyn_cast<scf::ForOp>(yieldOp->getParentOp());
		if (!forOp)
		return yieldOp->emitError("expected scf::ForOp parent for scf::YieldOp");
		for (OpOperand &operand : yieldOp->getOpOperands()) {
		auto tensorType = operand.get().getType().dyn_cast<TensorType>();
		if (!tensorType)
		continue;

		OpOperand &forOperand = forOp.getOpOperandForResult(
		forOp->getResult(operand.getOperandNumber()));
		auto bbArg = forOp.getRegionIterArgForOpOperand(forOperand);
		Value yieldedBuffer = lookup(bvm, operand.get());
		Value bbArgBuffer = lookup(bvm, bbArg);
		if (!aliasInfo.areEquivalentBufferizedValues(yieldedBuffer,
		bbArgBuffer)) {
		// TODO: this could get resolved with copies but it can also turn into
		// swaps so we need to be careful about order of copies.
		return yieldOp->emitError()
		<< "Yield operand #" << operand.getOperandNumber()
		<< " does not bufferize to an equivalent buffer to the matching"
		<< " enclosing scf::for operand";
		}

		// Buffers are equivalent so the work is already done and we just yield
		// the bbArg so that it later canonicalizes away.
		operand.set(bbArg);
		}
		return success();
		}
		};

		} // namespace scf_ext

		namespace std_ext {

		struct CallOpInterface
		: public BufferizableOpInterface::ExternalModel<CallOpInterface, CallOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		// CallOpInterface alone doesn't bufferize to a memory read, one of the uses
		// of the matching bbArg may. It is the responsibility of the caller to
		// inspect bbArgs. In the absence of a BufferizationAliasInfo, we need to be
		// conservative.
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		// CallOpInterface alone doesn't bufferize to a memory write, one of the
		// uses of the matching bbArg may. It is the responsibility of the caller to
		// inspect bbArgs. In the absence of a BufferizationAliasInfo, we need to be
		// conservative.
		return true;
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		// TODO: Can we do better?
		return {};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		// CallOpInterface is special, it needs to wait for the callee to be
		// bufferized and needs to inspect the BufferAliasInfo object. It can't
		// make a proper determination by itself and needs to be conservative.
		return OpResult();
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::Equivalent;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		llvm_unreachable("CallOps are handled separately");
		return failure();
		}
		};

		struct ReturnOpInterface
		: public BufferizableOpInterface::ExternalModel<ReturnOpInterface,
		ReturnOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto returnOp = cast<ReturnOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		// Cannot insert after returnOp.
		b.setInsertionPoint(returnOp);

		assert(isa<FuncOp>(returnOp->getParentOp()) &&
		"only support FuncOp parent for ReturnOp");
		for (OpOperand &operand : returnOp->getOpOperands()) {
		auto tensorType = operand.get().getType().dyn_cast<TensorType>();
		if (!tensorType)
		continue;
		Value v = lookup(bvm, operand.get());
		assert(v && "missing buffer for result");
		Value returnTensor = b.create<memref::TensorLoadOp>(returnOp.getLoc(), v);
		operand.set(returnTensor);
		aliasInfo.insertNewBufferEquivalence(returnTensor, v);
		map(bvm, returnTensor, v);
		}
		return success();
		}
		};

		} // namespace std_ext

		namespace tensor_ext {

		struct CastOpInterface
		: public BufferizableOpInterface::ExternalModel<CastOpInterface,
		tensor::CastOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		bool bufferizesToAliasOnly(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		return {&op->getOpOperand(0)};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		OpResult getAliasingOpResult(Operation *op, OpOperand &opOperand) const {
		return op->getResult(0);
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::Equivalent;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto castOp = cast<tensor::CastOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(castOp);

		Value resultBuffer =
		getResultBuffer(b, castOp->getResult(0), bvm, aliasInfo, allocationFn);
		if (!resultBuffer)
		return failure();
		Type sourceType = resultBuffer.getType();
		auto rankedMemRefType = sourceType.dyn_cast<MemRefType>();
		auto unrankedMemRefType = sourceType.dyn_cast<UnrankedMemRefType>();
		assert(rankedMemRefType \|\| unrankedMemRefType);
		Attribute memorySpace = rankedMemRefType
		? rankedMemRefType.getMemorySpace()
		: unrankedMemRefType.getMemorySpace();
		TensorType tensorType = castOp.getResult().getType().cast<TensorType>();
		MemRefLayoutAttrInterface layout =
		rankedMemRefType && tensorType.isa<RankedTensorType>()
		? rankedMemRefType.getLayout()
		: MemRefLayoutAttrInterface();
		Type memRefType = getContiguousOrUnrankedMemRefType(
		castOp.getResult().getType(), layout, memorySpace);
		Value res =
		b.create<memref::CastOp>(castOp.getLoc(), memRefType, resultBuffer);
		aliasInfo.insertNewBufferEquivalence(res, castOp.getResult());
		map(bvm, castOp.getResult(), res);
		return success();
		}
		};

		struct DimOpInterface
		: public BufferizableOpInterface::ExternalModel<DimOpInterface,
		tensor::DimOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto dimOp = cast<tensor::DimOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(dimOp);

		if (dimOp.source().getType().isa<RankedTensorType>()) {
		Value v = lookup(bvm, dimOp.source());
		assert(v && "missing buffer");
		dimOp.result().replaceAllUsesWith(
		b.create<memref::DimOp>(dimOp.getLoc(), v, dimOp.index()));
		}
		return success();
		}
		};

		struct ExtractSliceOpInterface
		: public BufferizableOpInterface::ExternalModel<ExtractSliceOpInterface,
		tensor::ExtractSliceOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		bool bufferizesToAliasOnly(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		return {&op->getOpOperand(0) /source/};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		OpResult getAliasingOpResult(Operation *op, OpOperand &opOperand) const {
		return &opOperand == &op->getOpOperand(0) /source/
		? op->getResult(0)
		: OpResult();
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::None;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto extractSliceOp = cast<tensor::ExtractSliceOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);

		LDBG("bufferize: " << *extractSliceOp << '\n');

		Location loc = extractSliceOp.getLoc();
		// Bail if source was not bufferized.
		Value srcMemref = lookup(bvm, extractSliceOp.source());
		if (!srcMemref)
		return failure();
		auto srcMemrefType = srcMemref.getType().cast<MemRefType>();
		auto dstTensorType =
		extractSliceOp.result().getType().cast<RankedTensorType>();

		// If not inplaceable, alloc.
		Value alloc;
		auto inPlace = getInPlace(extractSliceOp->getResult(0));
		if (inPlace != InPlaceSpec::True)
		alloc = createNewAllocDeallocPairForShapedValue(
		b, loc, extractSliceOp.result(), aliasInfo, allocationFn);

		// Set insertion point now that potential alloc/dealloc are introduced.
		b.setInsertionPoint(extractSliceOp);

		// Bufferize to subview.
		auto subviewMemRefType =
		memref::SubViewOp::inferRankReducedResultType(
		dstTensorType.getRank(), srcMemrefType,
		extractSliceOp.getMixedOffsets(), extractSliceOp.getMixedSizes(),
		extractSliceOp.getMixedStrides())
		.cast<MemRefType>();
		Value subView = b.create<memref::SubViewOp>(
		loc, subviewMemRefType, srcMemref, extractSliceOp.getMixedOffsets(),
		extractSliceOp.getMixedSizes(), extractSliceOp.getMixedStrides());
		// Insert new alias.
		aliasInfo.insertNewBufferAlias(subView, srcMemref);

		/// If not inplaceable, copy.
		if (alloc) {
		// Do not copy if the copied data is never read.
		if (isValueRead(extractSliceOp.result()))
		b.create<CopyOp>(extractSliceOp.getLoc(), subView, alloc);
		subView = alloc;
		}

		map(bvm, extractSliceOp.result(), subView);
		return success();
		}
		};

		struct ExtractOpInterface
		: public BufferizableOpInterface::ExternalModel<ExtractOpInterface,
		tensor::ExtractOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return false;
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto extractOp = cast<tensor::ExtractOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(extractOp);

		Location loc = extractOp.getLoc();
		Value srcMemref = lookup(bvm, extractOp.tensor());
		Value l = b.create<memref::LoadOp>(loc, srcMemref, extractOp.indices());
		extractOp.replaceAllUsesWith(l);
		return success();
		}
		};

		struct InsertSliceOpInterface
		: public BufferizableOpInterface::ExternalModel<InsertSliceOpInterface,
		tensor::InsertSliceOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		return &opOperand == &op->getOpOperand(1) /dest/;
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		return {&op->getOpOperand(1) /dest/};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return &opOperand == &op->getOpOperand(1) /dest/
		? op->getResult(0)
		: OpResult();
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::Equivalent;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto insertSliceOp = cast<tensor::InsertSliceOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(insertSliceOp);

		LDBG("bufferize: " << *insertSliceOp << '\n');

		Location loc = insertSliceOp.getLoc();
		// Since insert_slice arise from tiling and introducing loops, this
		// case is generally a deal breaker. When used with loops, this ends up
		// cloning the whole tensor on every single iteration and is a symptom
		// of a catastrophically bad scheduling decision.
		// TODO: be very loud about it or even consider failing the pass.
		// Alloc a copy for `insertSliceOp.dest()`, it will become the result
		// buffer.
		Value dstMemref = getResultBuffer(b, insertSliceOp->getResult(0), bvm,
		aliasInfo, allocationFn);
		if (!dstMemref)
		return failure();
		auto dstMemrefType = dstMemref.getType().cast<MemRefType>();

		Value srcMemref = lookup(bvm, insertSliceOp.source());
		if (!srcMemref)
		return failure();
		auto subviewMemRefType =
		memref::SubViewOp::inferRankReducedResultType(
		insertSliceOp.getSourceType().getRank(), dstMemrefType,
		insertSliceOp.getMixedOffsets(), insertSliceOp.getMixedSizes(),
		insertSliceOp.getMixedStrides())
		.cast<MemRefType>();

		// A copy of the source buffer is needed if either:
		// - The producer of `source` is not inplace. This is the case where a
		// slice is computed out of place into the inplace full tensor.
		// - The result is not inplace. This is the case where the whole tensor is
		// cloned and the clone needs to be updated.
		auto inPlace = getInPlace(insertSliceOp->getResult(0));
		// TODO: Is this necessary?
		if (!aliasInfo.isSourceEquivalentToAMatchingInplaceExtractSliceOp(
		insertSliceOp) \|\|
		inPlace != InPlaceSpec::True) {
		LDBG("insert_slice needs extra source copy: " << insertSliceOp.source()
		<< " -> copy\n");
		// Take a subview of the dst.
		Value subView = b.create<memref::SubViewOp>(
		loc, subviewMemRefType, dstMemref, insertSliceOp.getMixedOffsets(),
		insertSliceOp.getMixedSizes(), insertSliceOp.getMixedStrides());
		// Insert new alias.
		aliasInfo.insertNewBufferAlias(subView, dstMemref);
		b.create<CopyOp>(insertSliceOp.getLoc(), srcMemref, subView);
		}

		map(bvm, insertSliceOp.result(), dstMemref);

		return success();
		}
		};

		} // namespace tensor_ext

		namespace vector_ext {

		struct TransferReadOpInterface
		: public BufferizableOpInterface::ExternalModel<TransferReadOpInterface,
		vector::TransferReadOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		assert(opOperand.get().getType().isa<RankedTensorType>() &&
		"only tensor types expected");
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		assert(opOperand.get().getType().isa<RankedTensorType>() &&
		"only tensor types expected");
		return false;
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		return OpResult();
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto transferReadOp = cast<vector::TransferReadOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(op);

		if (transferReadOp.getShapedType().isa<MemRefType>())
		return failure();

		// TransferReadOp always reads from the bufferized op.source().
		Value v = lookup(bvm, transferReadOp.source());
		assert(v && "missing buffer");
		transferReadOp.sourceMutable().assign(v);
		return success();
		}
		};

		struct TransferWriteOpInterface
		: public BufferizableOpInterface::ExternalModel<TransferWriteOpInterface,
		vector::TransferWriteOp> {
		bool bufferizesToMemoryRead(Operation *op, OpOperand &opOperand) const {
		assert(opOperand.get().getType().isa<TensorType>() &&
		"only tensor types expected");
		return true;
		}

		bool bufferizesToMemoryWrite(Operation *op, OpOperand &opOperand) const {
		assert(opOperand.get().getType().isa<TensorType>() &&
		"only tensor types expected");
		return true;
		}

		SmallVector<OpOperand > getAliasingOpOperand(Operation op,
		OpResult opResult) const {
		return {&op->getOpOperand(1)};
		}

		OpResult getInplaceableOpResult(Operation *op, OpOperand &opOperand) const {
		assert(opOperand.get().getType().isa<TensorType>() &&
		"only tensor types expected");
		return op->getOpResult(0);
		}

		BufferRelation bufferRelation(Operation *op, OpOperand &opOperand) const {
		return BufferRelation::Equivalent;
		}

		LogicalResult bufferize(Operation *op, OpBuilder &b,
		BlockAndValueMapping &bvm,
		BufferizationAliasInfo &aliasInfo,
		AllocationCallbacks &allocationFn) const {
		auto writeOp = cast<vector::TransferWriteOp>(op);

		// Take a guard before anything else.
		OpBuilder::InsertionGuard g(b);
		b.setInsertionPoint(op);

		if (writeOp.getShapedType().isa<MemRefType>())
		return failure();

		// 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.
		Value resultBuffer =
		getResultBuffer(b, op->getResult(0), bvm, aliasInfo, allocationFn);
		if (!resultBuffer)
		return failure();
		b.create<vector::TransferWriteOp>(
		writeOp.getLoc(), writeOp.vector(), resultBuffer, writeOp.indices(),
		writeOp.permutation_map(),
		writeOp.in_bounds() ? *writeOp.in_bounds() : ArrayAttr());
		map(bvm, op->getResult(0), resultBuffer);

		return success();
		}
		};

		} // namespace vector_ext

		namespace {

		/// Helper structure that iterates over all LinalgOps in `OpTys` and registers
		/// the `BufferizableOpInterface` with each of them.
		template <typename... OpTys> struct LinalgOpInterfaceHelper;

		template <typename First, typename... Others>
		struct LinalgOpInterfaceHelper<First, Others...> {
		static void registerOpInterface(DialectRegistry &registry) {
		registry.addOpInterface<First, linalg_ext::LinalgOpInterface<First>>();
		LinalgOpInterfaceHelper<Others...>::registerOpInterface(registry);
		}
		};

		template <> struct LinalgOpInterfaceHelper<> {
		static void registerOpInterface(DialectRegistry &registry) {}
		};

		} // namespace

		void registerBufferiableOpInterfaceExternalModels(DialectRegistry &registry) {
		registry.addOpInterface<arith::ConstantOp, arith_ext::ConstantOpInterface>();
		registry.addOpInterface<linalg::InitTensorOp,
		linalg_ext::InitTensorOpInterface>();
		registry
		.addOpInterface<linalg::TiledLoopOp, linalg_ext::TiledLoopOpInterface>();
		registry.addOpInterface<linalg::YieldOp, linalg_ext::YieldOpInterface>();
		registry.addOpInterface<scf::ForOp, scf_ext::ForOpInterface>();
		registry.addOpInterface<scf::IfOp, scf_ext::IfOpInterface>();
		registry.addOpInterface<scf::YieldOp, scf_ext::YieldOpInterface>();
		registry.addOpInterface<CallOp, std_ext::CallOpInterface>();
		registry.addOpInterface<ReturnOp, std_ext::ReturnOpInterface>();
		registry.addOpInterface<tensor::CastOp, tensor_ext::CastOpInterface>();
		registry.addOpInterface<tensor::DimOp, tensor_ext::DimOpInterface>();
		registry.addOpInterface<tensor::ExtractSliceOp,
		tensor_ext::ExtractSliceOpInterface>();
		registry.addOpInterface<tensor::ExtractOp, tensor_ext::ExtractOpInterface>();
		registry.addOpInterface<tensor::InsertSliceOp,
		tensor_ext::InsertSliceOpInterface>();
		registry.addOpInterface<vector::TransferReadOp,
		vector_ext::TransferReadOpInterface>();
		registry.addOpInterface<vector::TransferWriteOp,
		vector_ext::TransferWriteOpInterface>();

		// Register all Linalg structured ops. `LinalgOp` is an interface and it is
		// not possible to attach an external interface to an existing interface.
		// Therefore, attach the `BufferizableOpInterface` to all ops one-by-one.
		LinalgOpInterfaceHelper<
		#define GET_OP_LIST
		#include "mlir/Dialect/Linalg/IR/LinalgStructuredOps.cpp.inc"
		>::registerOpInterface(registry);
		}

		} // namespace linalg
		} // namespace mlir

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[mlir][linalg][bufferize] Move BufferizableOpInterface implementations
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mlir/include/mlir/Dialect/Linalg/Transforms/ComprehensiveBufferize.h

mlir/lib/Dialect/Linalg/Transforms/ComprehensiveBufferize.cpp

This is an archive of the discontinued LLVM Phabricator instance.

[mlir][linalg][bufferize] Move BufferizableOpInterface implementationsClosedPublic

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Diff 384015

mlir/include/mlir/Dialect/Linalg/Transforms/ComprehensiveBufferize.h

mlir/lib/Dialect/Linalg/Transforms/ComprehensiveBufferize.cpp

[mlir][linalg][bufferize] Move BufferizableOpInterface implementations
ClosedPublic