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gps/tools/local/circt/include/mlir/Interfaces/TilingInterface.h.inc
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/*===- TableGen'erated file -------------------------------------*- C++ -*-===*\
|* *|
|* Interface Declarations *|
|* *|
|* Automatically generated file, do not edit! *|
|* *|
\*===----------------------------------------------------------------------===*/
namespace mlir {
/// This interface allows operations to expose information needed to tile them.
///
/// The intent of this interface is to separate the generation of the loop
/// structure (and constructs used for it) from the information needed from
/// the operation to be able to tile them. As a result an implementation of
/// the tiling algorithm (like `scf::tileUsingSCF`) can generate the inter-tile
/// loop structure, and call into the methods of the interface to be able to
/// tile any operation that implements the interface.
///
/// This interface is also meant to help with "tile and fuse", i.e. the process
/// of fusing a producer with a consumer by
/// a) Tiling the consumer
/// b) Based on the tile of the producer used by the tiled consumer,
/// materialize the tiled implementation of a producer to generate that
/// tile (and use it immediately in the consumer)
/// You could also fuse a consumer with a producer by
/// a) Tiling the producer
/// b) Based on the tile produced, materialize the tiled implementation of
/// a consumer that uses this tile.
/// Note that the tile and fuse does not make any calculation on whether it
/// is "profitable to do this", but simply provides a mechansim to implement
/// the transformation when such a fusion is needed by the caller.
///
/// For any operation to be tilable, an operation has to implement the
/// following two methods (see description below)
/// - `getLoopIteratorTypes`
/// - `getIterationDomain`
/// - `getTiledImplementation`
/// - `getResultTilePosition`
///
/// For an operation to be "tiled and fused" with its (already tiled) consumer,
/// an operation has to implement the following additional method (see
/// description below):
/// - `generateResultTileValue`
/// - `getIterationDomainTileFromResultTile`
///
/// For an operation to be "tiled and fused" with its (already tiled) producer,
/// an operation has to implement the following additional methods (see
/// description below):
/// - `getTiledImplementationFromOperandTiles`
/// - `getIterationDomainTileFromOperandTiles`.
class TilingInterface;
} // namespace mlir
namespace mlir {
/// Interface for allowing operations to expose information needed to
/// tile reductions using partial reduction followed by merge. This
/// extends the `TilingInterface` to allow splitting a reduction
/// dimension into a parallel dimension and reduction dimension.
/// The materialized inter-tile loop could either be the reduction dimension
/// (i.e. `ReductionTilingStrategy::PartialReductionOuterReduction`) or
/// the parallel dimension (i.e
/// `ReductionTilingStrategy::PartialReductionOuterReduction`).
class PartialReductionOpInterface;
} // namespace mlir
namespace mlir {
/// This interface allows operations to expose information needed to tile them.
///
/// The intent of this interface is to separate the generation of the loop
/// structure (and constructs used for it) from the information needed from
/// the operation to be able to tile them. As a result an implementation of
/// the tiling algorithm (like `scf::tileUsingSCF`) can generate the inter-tile
/// loop structure, and call into the methods of the interface to be able to
/// tile any operation that implements the interface.
///
/// This interface is also meant to help with "tile and fuse", i.e. the process
/// of fusing a producer with a consumer by
/// a) Tiling the consumer
/// b) Based on the tile of the producer used by the tiled consumer,
/// materialize the tiled implementation of a producer to generate that
/// tile (and use it immediately in the consumer)
/// You could also fuse a consumer with a producer by
/// a) Tiling the producer
/// b) Based on the tile produced, materialize the tiled implementation of
/// a consumer that uses this tile.
/// Note that the tile and fuse does not make any calculation on whether it
/// is "profitable to do this", but simply provides a mechansim to implement
/// the transformation when such a fusion is needed by the caller.
///
/// For any operation to be tilable, an operation has to implement the
/// following two methods (see description below)
/// - `getLoopIteratorTypes`
/// - `getIterationDomain`
/// - `getTiledImplementation`
/// - `getResultTilePosition`
///
/// For an operation to be "tiled and fused" with its (already tiled) consumer,
/// an operation has to implement the following additional method (see
/// description below):
/// - `generateResultTileValue`
/// - `getIterationDomainTileFromResultTile`
///
/// For an operation to be "tiled and fused" with its (already tiled) producer,
/// an operation has to implement the following additional methods (see
/// description below):
/// - `getTiledImplementationFromOperandTiles`
/// - `getIterationDomainTileFromOperandTiles`.
namespace detail {
struct TilingInterfaceInterfaceTraits {
struct Concept {
/// The methods defined by the interface.
::mlir::SmallVector<::mlir::utils::IteratorType> (*getLoopIteratorTypes)(const Concept *impl, ::mlir::Operation *);
::mlir::SmallVector<::mlir::Range> (*getIterationDomain)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &);
::mlir::FailureOr<::mlir::TilingResult> (*getTiledImplementation)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, ::mlir::ArrayRef<::mlir::OpFoldResult> , ::mlir::ArrayRef<::mlir::OpFoldResult> );
::llvm::LogicalResult (*getResultTilePosition)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, unsigned, ::mlir::ArrayRef<::mlir::OpFoldResult> , ::mlir::ArrayRef<::mlir::OpFoldResult> , ::mlir::SmallVector<::mlir::OpFoldResult> &, ::mlir::SmallVector<::mlir::OpFoldResult> &);
::mlir::FailureOr<::mlir::TilingResult> (*generateResultTileValue)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, unsigned, ::mlir::ArrayRef<::mlir::OpFoldResult>, ::mlir::ArrayRef<::mlir::OpFoldResult>);
::mlir::FailureOr<::mlir::TilingResult> (*getTiledImplementationFromOperandTiles)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, ::mlir::ArrayRef<unsigned>, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>>, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>>);
::llvm::LogicalResult (*getIterationDomainTileFromOperandTiles)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, ::mlir::ArrayRef<unsigned>, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> , ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> , ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &);
::llvm::LogicalResult (*getIterationDomainTileFromResultTile)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, unsigned, ::mlir::ArrayRef<::mlir::OpFoldResult> , ::mlir::ArrayRef<::mlir::OpFoldResult> , ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &);
::llvm::LogicalResult (*generateScalarImplementation)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, ::mlir::Location , ::mlir::ValueRange );
bool (*isOpFusableWithConsumerSlice)(const Concept *impl, ::mlir::Operation *, unsigned, ::mlir::ArrayRef<::mlir::OpFoldResult>, ::mlir::ArrayRef<::mlir::OpFoldResult>);
bool (*isOpFusableWithProducerSlices)(const Concept *impl, ::mlir::Operation *, ::mlir::ArrayRef<unsigned>, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>>, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>>);
};
template<typename ConcreteOp>
class Model : public Concept {
public:
using Interface = ::mlir::TilingInterface;
Model() : Concept{getLoopIteratorTypes, getIterationDomain, getTiledImplementation, getResultTilePosition, generateResultTileValue, getTiledImplementationFromOperandTiles, getIterationDomainTileFromOperandTiles, getIterationDomainTileFromResultTile, generateScalarImplementation, isOpFusableWithConsumerSlice, isOpFusableWithProducerSlices} {}
static inline ::mlir::SmallVector<::mlir::utils::IteratorType> getLoopIteratorTypes(const Concept *impl, ::mlir::Operation *tablegen_opaque_val);
static inline ::mlir::SmallVector<::mlir::Range> getIterationDomain(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b);
static inline ::mlir::FailureOr<::mlir::TilingResult> getTiledImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
static inline ::llvm::LogicalResult getResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes);
static inline ::mlir::FailureOr<::mlir::TilingResult> generateResultTileValue(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
static inline ::mlir::FailureOr<::mlir::TilingResult> getTiledImplementationFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
static inline ::llvm::LogicalResult getIterationDomainTileFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
static inline ::llvm::LogicalResult getIterationDomainTileFromResultTile(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
static inline ::llvm::LogicalResult generateScalarImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::Location loc, ::mlir::ValueRange ivs);
static inline bool isOpFusableWithConsumerSlice(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
static inline bool isOpFusableWithProducerSlices(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
};
template<typename ConcreteOp>
class FallbackModel : public Concept {
public:
using Interface = ::mlir::TilingInterface;
FallbackModel() : Concept{getLoopIteratorTypes, getIterationDomain, getTiledImplementation, getResultTilePosition, generateResultTileValue, getTiledImplementationFromOperandTiles, getIterationDomainTileFromOperandTiles, getIterationDomainTileFromResultTile, generateScalarImplementation, isOpFusableWithConsumerSlice, isOpFusableWithProducerSlices} {}
static inline ::mlir::SmallVector<::mlir::utils::IteratorType> getLoopIteratorTypes(const Concept *impl, ::mlir::Operation *tablegen_opaque_val);
static inline ::mlir::SmallVector<::mlir::Range> getIterationDomain(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b);
static inline ::mlir::FailureOr<::mlir::TilingResult> getTiledImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
static inline ::llvm::LogicalResult getResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes);
static inline ::mlir::FailureOr<::mlir::TilingResult> generateResultTileValue(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
static inline ::mlir::FailureOr<::mlir::TilingResult> getTiledImplementationFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
static inline ::llvm::LogicalResult getIterationDomainTileFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
static inline ::llvm::LogicalResult getIterationDomainTileFromResultTile(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
static inline ::llvm::LogicalResult generateScalarImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::Location loc, ::mlir::ValueRange ivs);
static inline bool isOpFusableWithConsumerSlice(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
static inline bool isOpFusableWithProducerSlices(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
};
template<typename ConcreteModel, typename ConcreteOp>
class ExternalModel : public FallbackModel<ConcreteModel> {
public:
using ConcreteEntity = ConcreteOp;
::mlir::SmallVector<::mlir::utils::IteratorType> getLoopIteratorTypes(::mlir::Operation *tablegen_opaque_val) const;
::mlir::SmallVector<::mlir::Range> getIterationDomain(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b) const;
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementation(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) const;
::llvm::LogicalResult getResultTilePosition(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> &resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> &resultSizes) const;
::mlir::FailureOr<::mlir::TilingResult> generateResultTileValue(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) const;
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementationFromOperandTiles(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) const;
::llvm::LogicalResult getIterationDomainTileFromOperandTiles(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainSizes) const;
::llvm::LogicalResult getIterationDomainTileFromResultTile(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainSizes) const;
::llvm::LogicalResult generateScalarImplementation(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::Location loc, ::mlir::ValueRange ivs) const;
bool isOpFusableWithConsumerSlice(::mlir::Operation *tablegen_opaque_val, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) const;
bool isOpFusableWithProducerSlices(::mlir::Operation *tablegen_opaque_val, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) const;
};
};
template <typename ConcreteOp>
struct TilingInterfaceTrait;
} // namespace detail
class TilingInterface : public ::mlir::OpInterface<TilingInterface, detail::TilingInterfaceInterfaceTraits> {
public:
using ::mlir::OpInterface<TilingInterface, detail::TilingInterfaceInterfaceTraits>::OpInterface;
template <typename ConcreteOp>
struct Trait : public detail::TilingInterfaceTrait<ConcreteOp> {};
/// Returns a list of iterator types that describe the number of loops.
::mlir::SmallVector<::mlir::utils::IteratorType> getLoopIteratorTypes();
/// Returns a list of ranges that describe the loop bounds and
/// step for the loops of the operation.
::mlir::SmallVector<::mlir::Range> getIterationDomain(::mlir::OpBuilder & b);
/// Method to generate the tiled implementation of an operation.
///
/// Given a tile of the iteration space (as returned by
/// `getIterationDomain`), generate in-place the code that represents
/// the computation corresponding to that tile of the iteration space.
/// It is the responsibility of the implementation of this method in
/// the operation to generate the slices of the operands needed for the
/// tiled implementation.
/// - `offsets` provides the offset of the tile in the coordinate system
/// of the original iteration space, i.e., if an iteration space
/// dimension had non-zero offset, it will be included in the offset
/// provided here (as opposed to zero-based offset "relative" to the
/// iteration space).
/// - `sizes` provides the size of the tile.
///
/// The returned `TilingResult` must return for each result of the
/// untiled operation, a `Value` that is the result of the tiled
/// operation.
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementation(::mlir::OpBuilder & b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
/// Method to return the position of the result tile computed by the
/// tiled operation.
///
/// For operations that return a value (typically a value of type
/// `RankedTensorType`), the generated tiled computation has to also
/// recompute a replacement for the results of the original operation.
/// The tiled implementation of the operation returns a tile of the
/// result(s). This methods returns information about what part of the
/// result tensor is computed by the tiled implementation. The manner in
/// which these tiles get put together to get the final result is upto
/// the surrounding loop construct. If an operation has no results, (for
/// example an operation that operates only on memrefs), then this method
/// need not be implemented by the operation.
/// - `resultNumber` is the result number of the original operation
/// being processed.
/// - `offsets` provides the offset of the tile in the coordinate system
/// of the original iteration space, i.e., if an iteration space
/// dimension had non-zero offset, it will be included in the offset
/// provided here (as opposed to zero-based offset "relative" to the
/// iteration space).
/// - `sizes` provides the size of the tile.
/// - `resultOffsets` is the offsets of the tile of the result generated
/// by the tiled implementation (returned by value).
/// - `resultSizes` is the size of the tile of the result generated
/// by the tiled implementation (returned by value).
///
/// Note: It is undefined behaviour if there is overlap between the
/// tiles of the result generated by the tiled implementation.
::llvm::LogicalResult getResultTilePosition(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes);
/// Method to generate the code that produces a tile of the result.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) consumer. Typically, for two operations with
/// producer -> consumer relation ship, to compute a tile of the
/// consumer a `slice` of the producer is needed. This method allows
/// computing that slice of the producer in-place, thereby "fusing"
/// the operations at tile-granularity. This method is different from
/// `getTiledImplementation`, which produces a tiled implementation
/// for a tile of the iteration space. This method produces a tiled
/// implementation based on the tile of producer required.
/// - `resultNumber` is the result of the producer used by the consumer.
/// - `offsets` is the offset of the slice of the producer result used by
/// the tiled implementation of the consumer.
/// - `sizes` is the size of the slice of the producer result used by the
/// consumer.
/// If fusion of the producer with the consumer is not legal for the
/// operation/result, this method should return failure.
///
/// Note: This method only deals with the mechanism of implementing the
/// fusion. In general the fusion might result in recomputation (based on
/// the way the result is produced by the producer and the access pattern
/// used in the consumer to access). This is upto the caller to handle
/// appropriately.
::mlir::FailureOr<::mlir::TilingResult> generateResultTileValue(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
/// Method to generate the tiled implementation of an operation that uses
/// the exact tiles of the given operands.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) producer. Given tiles of the producer, this
/// method generates the tile of the consumer that uses exactly these
/// produced tiles. In some sense it is the "reverse" of
/// `generateResultTileValue`.
/// - `operandNumbers` is the list of operands whose tiles are "producers".
/// - `allOffsets` is the offset of the slice of the producer used by the
/// tiled implementation of the consumer.
/// - `allSizes` is the size of the slice of the producer used by the
/// consumer.
/// If it is illegal to fuse with a producer along the given operand tiles for
/// an operation, the implementation should return a failure.
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementationFromOperandTiles(::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
/// Method to return the tile of the iteration domain that uses a given
/// tile of the operand.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) producer. Given tiles of operands,
/// returns the tile of the iteration space that uses these tiles.
/// - `operandNumbers` is the list of operands whose tiles are "produced"
/// by the producer(s).
/// - `allOffsets` is the offset of the slice of the producers used by
/// the tiled implementation of the consumer.
/// - `allSizes` is the size of the slice of the producers used by the
/// consumer.
/// If it is illegal to fuse with the producer slices for an operation,
/// or if this mapping cannot be computed, the implementation should
/// return a failure.
///
/// Note that unlike the "tile consumer and fuse producer" case, the
/// "tile producer and fuse consumer" requires an additional method to get
/// the iteration tile space that encompasses all uses of the given operand
/// tile. The reason for this is, consider
/// ```mlir
/// %1 = scf.for... {
/// %2 = <tiled_producer_op>
/// %3 = tensor.insert_slice %2 into ...
/// scf.yield %3
/// }
/// %4 = <consumer_op>)(... %1... )
/// ... <some_op>(... %4 ...)
/// ```
///
/// when fused this becomes
/// ```
/// %1 = scf.for... {
/// %2 = <tiled_producer_op>
/// %3 = <tiled_consumer_op>(... %2...)
/// %4 = tensor.insert_slice %3 into ...
/// scf.yield %4
/// }
/// ... <some_op>(... %1 ...)
/// ```
///
/// i.e, when fusing the consumer, the replacement for the result of the
/// consumer needs to be returned to replace the uses of the consumer.
/// For the tile+fuse algorithm to do this it needs information about
/// which tile of the iteration space encompasses all uses of the tile
/// produced and use that to compute what are the results produced. Note
/// that this iteration space might be the entire iteration space of the
/// operation, or multiple operand tiles might map to intersecting
/// iteration spaces. It is upto the caller to make sure that it is still
/// fusable with producer in this scenario, or it must return a failure.
///
/// Note that this method is only used as a way to implement the
/// transformation. It does not provide guarantees on whether such a
/// transformation is profitable.
///
/// For most cases `getTiledImplementationFromOperandTiles` could be a
/// implemented using `getIterationDomainTileFromOperandTiles` +
/// `getTiledImplementation` methods.
::llvm::LogicalResult getIterationDomainTileFromOperandTiles(::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
/// Method to return the tile of the iteration domain based
/// on the given tile of the certain result.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) consumer. Given a tile of an result,
/// returns the tile of the iteration space that uses this tile.
/// - `resultNumber` is the result of the producer used by the consumer.
/// - `offsets` is the offset of the slice of the producer result used by
/// the tiled implementation of the consumer.
/// - `sizes` is the size of the slice of the producer result used by the
/// consumer.
/// If fusion of the producer with the consumer is not legal for the
/// result, or if this mapping cannot be computed, the implementation
/// should return a failure.
///
/// For most cases `generateResultTileValue` could be a implemented using
/// `getIterationDomainTileFromResultTile` + `getTiledImplementation`
/// methods.
::llvm::LogicalResult getIterationDomainTileFromResultTile(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
/// Generates the scalar implementation of the operation.
///
/// Given the list `ivs` that represent points in the iteration space
/// (as specified by `getIterationDomain()`) returns the scalar operations
/// that represent the computation at that point in the iteration space.
/// This method is typically used as the "exit path", i.e. once all
/// transformations are done, this method can be used to lower to scalar
/// code that can then be lowered to LLVM or SPIR-V dialects.
::llvm::LogicalResult generateScalarImplementation(::mlir::OpBuilder & b, ::mlir::Location loc, ::mlir::ValueRange ivs);
/// Indicates whether it is possible to fuse this operation with the given
/// result slice. This method is not allowed to generate any IR.
bool isOpFusableWithConsumerSlice(unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
/// Indicates whether it is possible to fuse this operation with the given
/// list of operand slices. This method is not allowed to generate any IR.
bool isOpFusableWithProducerSlices(::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
};
} // namespace mlir
namespace mlir {
/// Interface for allowing operations to expose information needed to
/// tile reductions using partial reduction followed by merge. This
/// extends the `TilingInterface` to allow splitting a reduction
/// dimension into a parallel dimension and reduction dimension.
/// The materialized inter-tile loop could either be the reduction dimension
/// (i.e. `ReductionTilingStrategy::PartialReductionOuterReduction`) or
/// the parallel dimension (i.e
/// `ReductionTilingStrategy::PartialReductionOuterReduction`).
namespace detail {
struct PartialReductionOpInterfaceInterfaceTraits {
struct Concept {
/// The methods defined by the interface.
::mlir::FailureOr<SmallVector<Value>> (*generateInitialTensorForPartialReduction)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, Location, ::mlir::ArrayRef<::mlir::OpFoldResult>, const ::mlir::SetVector<unsigned> &);
::mlir::FailureOr<TilingResult> (*tileToPartialReduction)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, Location , ::mlir::ReductionTilingStrategy, ValueRange, ::mlir::ArrayRef<::mlir::OpFoldResult>, ::mlir::ArrayRef<::mlir::OpFoldResult>, const ::llvm::SetVector<unsigned> &, ::mlir::ArrayRef<::mlir::OpFoldResult>);
::mlir::FailureOr<MergeResult> (*mergeReductions)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, Location , ValueRange, const ::mlir::SetVector<unsigned> &);
::llvm::LogicalResult (*getPartialResultTilePosition)(const Concept *impl, ::mlir::Operation *, ::mlir::OpBuilder &, unsigned, ReductionTilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> , ::mlir::ArrayRef<::mlir::OpFoldResult> , const ::mlir::SetVector<unsigned> &, ::mlir::ArrayRef<::mlir::OpFoldResult>, ::mlir::SmallVector<::mlir::OpFoldResult> &, ::mlir::SmallVector<::mlir::OpFoldResult> &);
/// The base classes of this interface.
const ::mlir::TilingInterface::Concept *implTilingInterface = nullptr;
void initializeInterfaceConcept(::mlir::detail::InterfaceMap &interfaceMap) {
implTilingInterface = interfaceMap.lookup<::mlir::TilingInterface>();
assert(implTilingInterface && "`::mlir::PartialReductionOpInterface` expected its base interface `::mlir::TilingInterface` to be registered");
}
};
template<typename ConcreteOp>
class Model : public Concept {
public:
using Interface = ::mlir::PartialReductionOpInterface;
Model() : Concept{generateInitialTensorForPartialReduction, tileToPartialReduction, mergeReductions, getPartialResultTilePosition} {}
static inline ::mlir::FailureOr<SmallVector<Value>> generateInitialTensorForPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> & reductionDims);
static inline ::mlir::FailureOr<TilingResult> tileToPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs);
static inline ::mlir::FailureOr<MergeResult> mergeReductions(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> & reductionDims);
static inline ::llvm::LogicalResult getPartialResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes);
};
template<typename ConcreteOp>
class FallbackModel : public Concept {
public:
using Interface = ::mlir::PartialReductionOpInterface;
FallbackModel() : Concept{generateInitialTensorForPartialReduction, tileToPartialReduction, mergeReductions, getPartialResultTilePosition} {}
static inline ::mlir::FailureOr<SmallVector<Value>> generateInitialTensorForPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> & reductionDims);
static inline ::mlir::FailureOr<TilingResult> tileToPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs);
static inline ::mlir::FailureOr<MergeResult> mergeReductions(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> & reductionDims);
static inline ::llvm::LogicalResult getPartialResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes);
};
template<typename ConcreteModel, typename ConcreteOp>
class ExternalModel : public FallbackModel<ConcreteModel> {
public:
using ConcreteEntity = ConcreteOp;
::mlir::FailureOr<SmallVector<Value>> generateInitialTensorForPartialReduction(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> &reductionDims) const;
::mlir::FailureOr<TilingResult> tileToPartialReduction(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> &reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs) const;
::mlir::FailureOr<MergeResult> mergeReductions(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> &reductionDims) const;
::llvm::LogicalResult getPartialResultTilePosition(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> &reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> &resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> &resultSizes) const;
};
};
template <typename ConcreteOp>
struct PartialReductionOpInterfaceTrait;
} // namespace detail
class PartialReductionOpInterface : public ::mlir::OpInterface<PartialReductionOpInterface, detail::PartialReductionOpInterfaceInterfaceTraits> {
public:
using ::mlir::OpInterface<PartialReductionOpInterface, detail::PartialReductionOpInterfaceInterfaceTraits>::OpInterface;
template <typename ConcreteOp>
struct Trait : public detail::PartialReductionOpInterfaceTrait<ConcreteOp> {};
/// Method to generate a tensor initalized with the identity value of the
/// reduction operator. The tensor shape is equal to operation result
/// shape with new dimension for each non zero tile size.
::mlir::FailureOr<SmallVector<Value>> generateInitialTensorForPartialReduction(::mlir::OpBuilder & b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> & reductionDims);
/// Method to generate a tiled version of the operation where the tiled
/// reduction dimension are converted to parallel dimensions with a size
/// less or equal to the tile size. This is meant to be used with
/// `mergeReductions` method which will combine the partial reductions.
/// The method receives the `offset` and `sizes` for all iteration space
/// dimensions, as well as the iteration number of the tiled reduction
/// dimensions (which is the induction variable of the inter-tile loop
/// for the reduction dimension divided by the step of the loop) in
/// `splitReductionIvs`.
::mlir::FailureOr<TilingResult> tileToPartialReduction(::mlir::OpBuilder & b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs);
/// Method to merge partial reductions for an operation that has been
/// tiled along the reduction dimensions. This will only apply the
/// reduction the operation.
::mlir::FailureOr<MergeResult> mergeReductions(::mlir::OpBuilder & b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> & reductionDims);
/// Method to return the position of the partial result tile computed by
/// the tiled operation. This is same as
/// TilingInterface:::getResultTilePosition, but determines the result
/// tile position for partial reduction.
/// The method receives the `offset` and `sizes` for all iteration space
/// dimensions, as well as the iteration number of the tiled reduction
/// dimensions (which is the induction variable of the inter-tile loop
/// for the reduction dimension divided by the tile size specified) in
/// `splitReductionIvs`.
::llvm::LogicalResult getPartialResultTilePosition(::mlir::OpBuilder & b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes);
//===----------------------------------------------------------------===//
// Inherited from ::mlir::TilingInterface
//===----------------------------------------------------------------===//
operator ::mlir::TilingInterface () const {
if (!*this) return nullptr;
return ::mlir::TilingInterface(*this, getImpl()->implTilingInterface);
}
/// Returns a list of iterator types that describe the number of loops.
::mlir::SmallVector<::mlir::utils::IteratorType> getLoopIteratorTypes();
/// Returns a list of ranges that describe the loop bounds and
/// step for the loops of the operation.
::mlir::SmallVector<::mlir::Range> getIterationDomain(::mlir::OpBuilder & b);
/// Method to generate the tiled implementation of an operation.
///
/// Given a tile of the iteration space (as returned by
/// `getIterationDomain`), generate in-place the code that represents
/// the computation corresponding to that tile of the iteration space.
/// It is the responsibility of the implementation of this method in
/// the operation to generate the slices of the operands needed for the
/// tiled implementation.
/// - `offsets` provides the offset of the tile in the coordinate system
/// of the original iteration space, i.e., if an iteration space
/// dimension had non-zero offset, it will be included in the offset
/// provided here (as opposed to zero-based offset "relative" to the
/// iteration space).
/// - `sizes` provides the size of the tile.
///
/// The returned `TilingResult` must return for each result of the
/// untiled operation, a `Value` that is the result of the tiled
/// operation.
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementation(::mlir::OpBuilder & b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
/// Method to return the position of the result tile computed by the
/// tiled operation.
///
/// For operations that return a value (typically a value of type
/// `RankedTensorType`), the generated tiled computation has to also
/// recompute a replacement for the results of the original operation.
/// The tiled implementation of the operation returns a tile of the
/// result(s). This methods returns information about what part of the
/// result tensor is computed by the tiled implementation. The manner in
/// which these tiles get put together to get the final result is upto
/// the surrounding loop construct. If an operation has no results, (for
/// example an operation that operates only on memrefs), then this method
/// need not be implemented by the operation.
/// - `resultNumber` is the result number of the original operation
/// being processed.
/// - `offsets` provides the offset of the tile in the coordinate system
/// of the original iteration space, i.e., if an iteration space
/// dimension had non-zero offset, it will be included in the offset
/// provided here (as opposed to zero-based offset "relative" to the
/// iteration space).
/// - `sizes` provides the size of the tile.
/// - `resultOffsets` is the offsets of the tile of the result generated
/// by the tiled implementation (returned by value).
/// - `resultSizes` is the size of the tile of the result generated
/// by the tiled implementation (returned by value).
///
/// Note: It is undefined behaviour if there is overlap between the
/// tiles of the result generated by the tiled implementation.
::llvm::LogicalResult getResultTilePosition(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes);
/// Method to generate the code that produces a tile of the result.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) consumer. Typically, for two operations with
/// producer -> consumer relation ship, to compute a tile of the
/// consumer a `slice` of the producer is needed. This method allows
/// computing that slice of the producer in-place, thereby "fusing"
/// the operations at tile-granularity. This method is different from
/// `getTiledImplementation`, which produces a tiled implementation
/// for a tile of the iteration space. This method produces a tiled
/// implementation based on the tile of producer required.
/// - `resultNumber` is the result of the producer used by the consumer.
/// - `offsets` is the offset of the slice of the producer result used by
/// the tiled implementation of the consumer.
/// - `sizes` is the size of the slice of the producer result used by the
/// consumer.
/// If fusion of the producer with the consumer is not legal for the
/// operation/result, this method should return failure.
///
/// Note: This method only deals with the mechanism of implementing the
/// fusion. In general the fusion might result in recomputation (based on
/// the way the result is produced by the producer and the access pattern
/// used in the consumer to access). This is upto the caller to handle
/// appropriately.
::mlir::FailureOr<::mlir::TilingResult> generateResultTileValue(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
/// Method to generate the tiled implementation of an operation that uses
/// the exact tiles of the given operands.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) producer. Given tiles of the producer, this
/// method generates the tile of the consumer that uses exactly these
/// produced tiles. In some sense it is the "reverse" of
/// `generateResultTileValue`.
/// - `operandNumbers` is the list of operands whose tiles are "producers".
/// - `allOffsets` is the offset of the slice of the producer used by the
/// tiled implementation of the consumer.
/// - `allSizes` is the size of the slice of the producer used by the
/// consumer.
/// If it is illegal to fuse with a producer along the given operand tiles for
/// an operation, the implementation should return a failure.
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementationFromOperandTiles(::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
/// Method to return the tile of the iteration domain that uses a given
/// tile of the operand.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) producer. Given tiles of operands,
/// returns the tile of the iteration space that uses these tiles.
/// - `operandNumbers` is the list of operands whose tiles are "produced"
/// by the producer(s).
/// - `allOffsets` is the offset of the slice of the producers used by
/// the tiled implementation of the consumer.
/// - `allSizes` is the size of the slice of the producers used by the
/// consumer.
/// If it is illegal to fuse with the producer slices for an operation,
/// or if this mapping cannot be computed, the implementation should
/// return a failure.
///
/// Note that unlike the "tile consumer and fuse producer" case, the
/// "tile producer and fuse consumer" requires an additional method to get
/// the iteration tile space that encompasses all uses of the given operand
/// tile. The reason for this is, consider
/// ```mlir
/// %1 = scf.for... {
/// %2 = <tiled_producer_op>
/// %3 = tensor.insert_slice %2 into ...
/// scf.yield %3
/// }
/// %4 = <consumer_op>)(... %1... )
/// ... <some_op>(... %4 ...)
/// ```
///
/// when fused this becomes
/// ```
/// %1 = scf.for... {
/// %2 = <tiled_producer_op>
/// %3 = <tiled_consumer_op>(... %2...)
/// %4 = tensor.insert_slice %3 into ...
/// scf.yield %4
/// }
/// ... <some_op>(... %1 ...)
/// ```
///
/// i.e, when fusing the consumer, the replacement for the result of the
/// consumer needs to be returned to replace the uses of the consumer.
/// For the tile+fuse algorithm to do this it needs information about
/// which tile of the iteration space encompasses all uses of the tile
/// produced and use that to compute what are the results produced. Note
/// that this iteration space might be the entire iteration space of the
/// operation, or multiple operand tiles might map to intersecting
/// iteration spaces. It is upto the caller to make sure that it is still
/// fusable with producer in this scenario, or it must return a failure.
///
/// Note that this method is only used as a way to implement the
/// transformation. It does not provide guarantees on whether such a
/// transformation is profitable.
///
/// For most cases `getTiledImplementationFromOperandTiles` could be a
/// implemented using `getIterationDomainTileFromOperandTiles` +
/// `getTiledImplementation` methods.
::llvm::LogicalResult getIterationDomainTileFromOperandTiles(::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
/// Method to return the tile of the iteration domain based
/// on the given tile of the certain result.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) consumer. Given a tile of an result,
/// returns the tile of the iteration space that uses this tile.
/// - `resultNumber` is the result of the producer used by the consumer.
/// - `offsets` is the offset of the slice of the producer result used by
/// the tiled implementation of the consumer.
/// - `sizes` is the size of the slice of the producer result used by the
/// consumer.
/// If fusion of the producer with the consumer is not legal for the
/// result, or if this mapping cannot be computed, the implementation
/// should return a failure.
///
/// For most cases `generateResultTileValue` could be a implemented using
/// `getIterationDomainTileFromResultTile` + `getTiledImplementation`
/// methods.
::llvm::LogicalResult getIterationDomainTileFromResultTile(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes);
/// Generates the scalar implementation of the operation.
///
/// Given the list `ivs` that represent points in the iteration space
/// (as specified by `getIterationDomain()`) returns the scalar operations
/// that represent the computation at that point in the iteration space.
/// This method is typically used as the "exit path", i.e. once all
/// transformations are done, this method can be used to lower to scalar
/// code that can then be lowered to LLVM or SPIR-V dialects.
::llvm::LogicalResult generateScalarImplementation(::mlir::OpBuilder & b, ::mlir::Location loc, ::mlir::ValueRange ivs);
/// Indicates whether it is possible to fuse this operation with the given
/// result slice. This method is not allowed to generate any IR.
bool isOpFusableWithConsumerSlice(unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes);
/// Indicates whether it is possible to fuse this operation with the given
/// list of operand slices. This method is not allowed to generate any IR.
bool isOpFusableWithProducerSlices(::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes);
};
} // namespace mlir
namespace mlir::detail {
template <typename ConcreteOp>
struct TilingInterfaceTrait : public ::mlir::OpInterface<TilingInterface, detail::TilingInterfaceInterfaceTraits>::Trait<ConcreteOp> {
/// Returns a list of iterator types that describe the number of loops.
::mlir::SmallVector<::mlir::utils::IteratorType> getLoopIteratorTypes() {
return {};
}
/// Returns a list of ranges that describe the loop bounds and
/// step for the loops of the operation.
::mlir::SmallVector<::mlir::Range> getIterationDomain(::mlir::OpBuilder & b) {
return {};
}
/// Method to generate the tiled implementation of an operation.
///
/// Given a tile of the iteration space (as returned by
/// `getIterationDomain`), generate in-place the code that represents
/// the computation corresponding to that tile of the iteration space.
/// It is the responsibility of the implementation of this method in
/// the operation to generate the slices of the operands needed for the
/// tiled implementation.
/// - `offsets` provides the offset of the tile in the coordinate system
/// of the original iteration space, i.e., if an iteration space
/// dimension had non-zero offset, it will be included in the offset
/// provided here (as opposed to zero-based offset "relative" to the
/// iteration space).
/// - `sizes` provides the size of the tile.
///
/// The returned `TilingResult` must return for each result of the
/// untiled operation, a `Value` that is the result of the tiled
/// operation.
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementation(::mlir::OpBuilder & b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return {};
}
/// Method to return the position of the result tile computed by the
/// tiled operation.
///
/// For operations that return a value (typically a value of type
/// `RankedTensorType`), the generated tiled computation has to also
/// recompute a replacement for the results of the original operation.
/// The tiled implementation of the operation returns a tile of the
/// result(s). This methods returns information about what part of the
/// result tensor is computed by the tiled implementation. The manner in
/// which these tiles get put together to get the final result is upto
/// the surrounding loop construct. If an operation has no results, (for
/// example an operation that operates only on memrefs), then this method
/// need not be implemented by the operation.
/// - `resultNumber` is the result number of the original operation
/// being processed.
/// - `offsets` provides the offset of the tile in the coordinate system
/// of the original iteration space, i.e., if an iteration space
/// dimension had non-zero offset, it will be included in the offset
/// provided here (as opposed to zero-based offset "relative" to the
/// iteration space).
/// - `sizes` provides the size of the tile.
/// - `resultOffsets` is the offsets of the tile of the result generated
/// by the tiled implementation (returned by value).
/// - `resultSizes` is the size of the tile of the result generated
/// by the tiled implementation (returned by value).
///
/// Note: It is undefined behaviour if there is overlap between the
/// tiles of the result generated by the tiled implementation.
::llvm::LogicalResult getResultTilePosition(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes) {
return failure();
}
/// Method to generate the code that produces a tile of the result.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) consumer. Typically, for two operations with
/// producer -> consumer relation ship, to compute a tile of the
/// consumer a `slice` of the producer is needed. This method allows
/// computing that slice of the producer in-place, thereby "fusing"
/// the operations at tile-granularity. This method is different from
/// `getTiledImplementation`, which produces a tiled implementation
/// for a tile of the iteration space. This method produces a tiled
/// implementation based on the tile of producer required.
/// - `resultNumber` is the result of the producer used by the consumer.
/// - `offsets` is the offset of the slice of the producer result used by
/// the tiled implementation of the consumer.
/// - `sizes` is the size of the slice of the producer result used by the
/// consumer.
/// If fusion of the producer with the consumer is not legal for the
/// operation/result, this method should return failure.
///
/// Note: This method only deals with the mechanism of implementing the
/// fusion. In general the fusion might result in recomputation (based on
/// the way the result is produced by the producer and the access pattern
/// used in the consumer to access). This is upto the caller to handle
/// appropriately.
::mlir::FailureOr<::mlir::TilingResult> generateResultTileValue(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return failure();
}
/// Method to generate the tiled implementation of an operation that uses
/// the exact tiles of the given operands.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) producer. Given tiles of the producer, this
/// method generates the tile of the consumer that uses exactly these
/// produced tiles. In some sense it is the "reverse" of
/// `generateResultTileValue`.
/// - `operandNumbers` is the list of operands whose tiles are "producers".
/// - `allOffsets` is the offset of the slice of the producer used by the
/// tiled implementation of the consumer.
/// - `allSizes` is the size of the slice of the producer used by the
/// consumer.
/// If it is illegal to fuse with a producer along the given operand tiles for
/// an operation, the implementation should return a failure.
::mlir::FailureOr<::mlir::TilingResult> getTiledImplementationFromOperandTiles(::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) {
return failure();
}
/// Method to return the tile of the iteration domain that uses a given
/// tile of the operand.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) producer. Given tiles of operands,
/// returns the tile of the iteration space that uses these tiles.
/// - `operandNumbers` is the list of operands whose tiles are "produced"
/// by the producer(s).
/// - `allOffsets` is the offset of the slice of the producers used by
/// the tiled implementation of the consumer.
/// - `allSizes` is the size of the slice of the producers used by the
/// consumer.
/// If it is illegal to fuse with the producer slices for an operation,
/// or if this mapping cannot be computed, the implementation should
/// return a failure.
///
/// Note that unlike the "tile consumer and fuse producer" case, the
/// "tile producer and fuse consumer" requires an additional method to get
/// the iteration tile space that encompasses all uses of the given operand
/// tile. The reason for this is, consider
/// ```mlir
/// %1 = scf.for... {
/// %2 = <tiled_producer_op>
/// %3 = tensor.insert_slice %2 into ...
/// scf.yield %3
/// }
/// %4 = <consumer_op>)(... %1... )
/// ... <some_op>(... %4 ...)
/// ```
///
/// when fused this becomes
/// ```
/// %1 = scf.for... {
/// %2 = <tiled_producer_op>
/// %3 = <tiled_consumer_op>(... %2...)
/// %4 = tensor.insert_slice %3 into ...
/// scf.yield %4
/// }
/// ... <some_op>(... %1 ...)
/// ```
///
/// i.e, when fusing the consumer, the replacement for the result of the
/// consumer needs to be returned to replace the uses of the consumer.
/// For the tile+fuse algorithm to do this it needs information about
/// which tile of the iteration space encompasses all uses of the tile
/// produced and use that to compute what are the results produced. Note
/// that this iteration space might be the entire iteration space of the
/// operation, or multiple operand tiles might map to intersecting
/// iteration spaces. It is upto the caller to make sure that it is still
/// fusable with producer in this scenario, or it must return a failure.
///
/// Note that this method is only used as a way to implement the
/// transformation. It does not provide guarantees on whether such a
/// transformation is profitable.
///
/// For most cases `getTiledImplementationFromOperandTiles` could be a
/// implemented using `getIterationDomainTileFromOperandTiles` +
/// `getTiledImplementation` methods.
::llvm::LogicalResult getIterationDomainTileFromOperandTiles(::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes) {
return failure();
}
/// Method to return the tile of the iteration domain based
/// on the given tile of the certain result.
///
/// This method is required to allow operations to be "tiled and fused"
/// with an (already tiled) consumer. Given a tile of an result,
/// returns the tile of the iteration space that uses this tile.
/// - `resultNumber` is the result of the producer used by the consumer.
/// - `offsets` is the offset of the slice of the producer result used by
/// the tiled implementation of the consumer.
/// - `sizes` is the size of the slice of the producer result used by the
/// consumer.
/// If fusion of the producer with the consumer is not legal for the
/// result, or if this mapping cannot be computed, the implementation
/// should return a failure.
///
/// For most cases `generateResultTileValue` could be a implemented using
/// `getIterationDomainTileFromResultTile` + `getTiledImplementation`
/// methods.
::llvm::LogicalResult getIterationDomainTileFromResultTile(::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes) {
return failure();
}
/// Generates the scalar implementation of the operation.
///
/// Given the list `ivs` that represent points in the iteration space
/// (as specified by `getIterationDomain()`) returns the scalar operations
/// that represent the computation at that point in the iteration space.
/// This method is typically used as the "exit path", i.e. once all
/// transformations are done, this method can be used to lower to scalar
/// code that can then be lowered to LLVM or SPIR-V dialects.
::llvm::LogicalResult generateScalarImplementation(::mlir::OpBuilder & b, ::mlir::Location loc, ::mlir::ValueRange ivs) {
return failure();
}
/// Indicates whether it is possible to fuse this operation with the given
/// result slice. This method is not allowed to generate any IR.
bool isOpFusableWithConsumerSlice(unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return false;
}
/// Indicates whether it is possible to fuse this operation with the given
/// list of operand slices. This method is not allowed to generate any IR.
bool isOpFusableWithProducerSlices(::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) {
return false;
}
};
} // namespace mlir::detail
namespace mlir::detail {
template <typename ConcreteOp>
struct PartialReductionOpInterfaceTrait : public ::mlir::OpInterface<PartialReductionOpInterface, detail::PartialReductionOpInterfaceInterfaceTraits>::Trait<ConcreteOp> {
/// Method to generate a tensor initalized with the identity value of the
/// reduction operator. The tensor shape is equal to operation result
/// shape with new dimension for each non zero tile size.
::mlir::FailureOr<SmallVector<Value>> generateInitialTensorForPartialReduction(::mlir::OpBuilder & b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> & reductionDims) {
return failure();
}
/// Method to generate a tiled version of the operation where the tiled
/// reduction dimension are converted to parallel dimensions with a size
/// less or equal to the tile size. This is meant to be used with
/// `mergeReductions` method which will combine the partial reductions.
/// The method receives the `offset` and `sizes` for all iteration space
/// dimensions, as well as the iteration number of the tiled reduction
/// dimensions (which is the induction variable of the inter-tile loop
/// for the reduction dimension divided by the step of the loop) in
/// `splitReductionIvs`.
::mlir::FailureOr<TilingResult> tileToPartialReduction(::mlir::OpBuilder & b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs) {
return failure();
}
/// Method to merge partial reductions for an operation that has been
/// tiled along the reduction dimensions. This will only apply the
/// reduction the operation.
::mlir::FailureOr<MergeResult> mergeReductions(::mlir::OpBuilder & b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> & reductionDims) {
return failure();
}
/// Method to return the position of the partial result tile computed by
/// the tiled operation. This is same as
/// TilingInterface:::getResultTilePosition, but determines the result
/// tile position for partial reduction.
/// The method receives the `offset` and `sizes` for all iteration space
/// dimensions, as well as the iteration number of the tiled reduction
/// dimensions (which is the induction variable of the inter-tile loop
/// for the reduction dimension divided by the tile size specified) in
/// `splitReductionIvs`.
::llvm::LogicalResult getPartialResultTilePosition(::mlir::OpBuilder & b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes) {
return failure();
}
};
} // namespace mlir::detail
namespace mlir {
template<typename ConcreteOp>
::mlir::SmallVector<::mlir::utils::IteratorType> detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::getLoopIteratorTypes(const Concept *impl, ::mlir::Operation *tablegen_opaque_val) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getLoopIteratorTypes();
}
template<typename ConcreteOp>
::mlir::SmallVector<::mlir::Range> detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::getIterationDomain(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getIterationDomain(b);
}
template<typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::getTiledImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getTiledImplementation(b, offsets, sizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::getResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getResultTilePosition(b, resultNumber, offsets, sizes, resultOffsets, resultSizes);
}
template<typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::generateResultTileValue(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).generateResultTileValue(b, resultNumber, offsets, sizes);
}
template<typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::getTiledImplementationFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getTiledImplementationFromOperandTiles(b, operandNumbers, allOffsets, allSizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::getIterationDomainTileFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getIterationDomainTileFromOperandTiles(b, operandNumbers, allOffsets, allSizes, iterDomainOffsets, iterDomainSizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::getIterationDomainTileFromResultTile(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getIterationDomainTileFromResultTile(b, resultNumber, offsets, sizes, iterDomainOffsets, iterDomainSizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::generateScalarImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::Location loc, ::mlir::ValueRange ivs) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).generateScalarImplementation(b, loc, ivs);
}
template<typename ConcreteOp>
bool detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::isOpFusableWithConsumerSlice(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).isOpFusableWithConsumerSlice(resultNumber, offsets, sizes);
}
template<typename ConcreteOp>
bool detail::TilingInterfaceInterfaceTraits::Model<ConcreteOp>::isOpFusableWithProducerSlices(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).isOpFusableWithProducerSlices(operandNumbers, allOffsets, allSizes);
}
template<typename ConcreteOp>
::mlir::SmallVector<::mlir::utils::IteratorType> detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getLoopIteratorTypes(const Concept *impl, ::mlir::Operation *tablegen_opaque_val) {
return static_cast<const ConcreteOp *>(impl)->getLoopIteratorTypes(tablegen_opaque_val);
}
template<typename ConcreteOp>
::mlir::SmallVector<::mlir::Range> detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getIterationDomain(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b) {
return static_cast<const ConcreteOp *>(impl)->getIterationDomain(tablegen_opaque_val, b);
}
template<typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getTiledImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return static_cast<const ConcreteOp *>(impl)->getTiledImplementation(tablegen_opaque_val, b, offsets, sizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes) {
return static_cast<const ConcreteOp *>(impl)->getResultTilePosition(tablegen_opaque_val, b, resultNumber, offsets, sizes, resultOffsets, resultSizes);
}
template<typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::generateResultTileValue(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return static_cast<const ConcreteOp *>(impl)->generateResultTileValue(tablegen_opaque_val, b, resultNumber, offsets, sizes);
}
template<typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getTiledImplementationFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) {
return static_cast<const ConcreteOp *>(impl)->getTiledImplementationFromOperandTiles(tablegen_opaque_val, b, operandNumbers, allOffsets, allSizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getIterationDomainTileFromOperandTiles(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes) {
return static_cast<const ConcreteOp *>(impl)->getIterationDomainTileFromOperandTiles(tablegen_opaque_val, b, operandNumbers, allOffsets, allSizes, iterDomainOffsets, iterDomainSizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getIterationDomainTileFromResultTile(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> & iterDomainSizes) {
return static_cast<const ConcreteOp *>(impl)->getIterationDomainTileFromResultTile(tablegen_opaque_val, b, resultNumber, offsets, sizes, iterDomainOffsets, iterDomainSizes);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::generateScalarImplementation(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, ::mlir::Location loc, ::mlir::ValueRange ivs) {
return static_cast<const ConcreteOp *>(impl)->generateScalarImplementation(tablegen_opaque_val, b, loc, ivs);
}
template<typename ConcreteOp>
bool detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::isOpFusableWithConsumerSlice(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) {
return static_cast<const ConcreteOp *>(impl)->isOpFusableWithConsumerSlice(tablegen_opaque_val, resultNumber, offsets, sizes);
}
template<typename ConcreteOp>
bool detail::TilingInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::isOpFusableWithProducerSlices(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) {
return static_cast<const ConcreteOp *>(impl)->isOpFusableWithProducerSlices(tablegen_opaque_val, operandNumbers, allOffsets, allSizes);
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::SmallVector<::mlir::utils::IteratorType> detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getLoopIteratorTypes(::mlir::Operation *tablegen_opaque_val) const {
return {};
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::SmallVector<::mlir::Range> detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getIterationDomain(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b) const {
return {};
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getTiledImplementation(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) const {
return {};
}
template<typename ConcreteModel, typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getResultTilePosition(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVector<::mlir::OpFoldResult> &resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> &resultSizes) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::generateResultTileValue(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::FailureOr<::mlir::TilingResult> detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getTiledImplementationFromOperandTiles(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getIterationDomainTileFromOperandTiles(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainSizes) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getIterationDomainTileFromResultTile(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainOffsets, ::mlir::SmallVectorImpl<::mlir::OpFoldResult> &iterDomainSizes) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::llvm::LogicalResult detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::generateScalarImplementation(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, ::mlir::Location loc, ::mlir::ValueRange ivs) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
bool detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::isOpFusableWithConsumerSlice(::mlir::Operation *tablegen_opaque_val, unsigned resultNumber, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes) const {
return false;
}
template<typename ConcreteModel, typename ConcreteOp>
bool detail::TilingInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::isOpFusableWithProducerSlices(::mlir::Operation *tablegen_opaque_val, ::mlir::ArrayRef<unsigned> operandNumbers, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allOffsets, ::mlir::ArrayRef<::mlir::SmallVector<::mlir::OpFoldResult>> allSizes) const {
return false;
}
} // namespace mlir
namespace mlir {
template<typename ConcreteOp>
::mlir::FailureOr<SmallVector<Value>> detail::PartialReductionOpInterfaceInterfaceTraits::Model<ConcreteOp>::generateInitialTensorForPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> & reductionDims) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).generateInitialTensorForPartialReduction(b, loc, tileSizes, reductionDims);
}
template<typename ConcreteOp>
::mlir::FailureOr<TilingResult> detail::PartialReductionOpInterfaceInterfaceTraits::Model<ConcreteOp>::tileToPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).tileToPartialReduction(b, loc, tilingStrategy, init, offsets, sizes, reductionDims, splitReductionIvs);
}
template<typename ConcreteOp>
::mlir::FailureOr<MergeResult> detail::PartialReductionOpInterfaceInterfaceTraits::Model<ConcreteOp>::mergeReductions(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> & reductionDims) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).mergeReductions(b, loc, partialReduce, reductionDims);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::PartialReductionOpInterfaceInterfaceTraits::Model<ConcreteOp>::getPartialResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes) {
return (llvm::cast<ConcreteOp>(tablegen_opaque_val)).getPartialResultTilePosition(b, resultNumber, tilingStrategy, offsets, sizes, reductionDims, splitReductionIvs, resultOffsets, resultSizes);
}
template<typename ConcreteOp>
::mlir::FailureOr<SmallVector<Value>> detail::PartialReductionOpInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::generateInitialTensorForPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> & reductionDims) {
return static_cast<const ConcreteOp *>(impl)->generateInitialTensorForPartialReduction(tablegen_opaque_val, b, loc, tileSizes, reductionDims);
}
template<typename ConcreteOp>
::mlir::FailureOr<TilingResult> detail::PartialReductionOpInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::tileToPartialReduction(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs) {
return static_cast<const ConcreteOp *>(impl)->tileToPartialReduction(tablegen_opaque_val, b, loc, tilingStrategy, init, offsets, sizes, reductionDims, splitReductionIvs);
}
template<typename ConcreteOp>
::mlir::FailureOr<MergeResult> detail::PartialReductionOpInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::mergeReductions(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> & reductionDims) {
return static_cast<const ConcreteOp *>(impl)->mergeReductions(tablegen_opaque_val, b, loc, partialReduce, reductionDims);
}
template<typename ConcreteOp>
::llvm::LogicalResult detail::PartialReductionOpInterfaceInterfaceTraits::FallbackModel<ConcreteOp>::getPartialResultTilePosition(const Concept *impl, ::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder & b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> & reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> & resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> & resultSizes) {
return static_cast<const ConcreteOp *>(impl)->getPartialResultTilePosition(tablegen_opaque_val, b, resultNumber, tilingStrategy, offsets, sizes, reductionDims, splitReductionIvs, resultOffsets, resultSizes);
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::FailureOr<SmallVector<Value>> detail::PartialReductionOpInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::generateInitialTensorForPartialReduction(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, Location loc, ::mlir::ArrayRef<::mlir::OpFoldResult> tileSizes, const ::mlir::SetVector<unsigned> &reductionDims) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::FailureOr<TilingResult> detail::PartialReductionOpInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::tileToPartialReduction(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, Location loc, ::mlir::ReductionTilingStrategy tilingStrategy, ValueRange init, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::llvm::SetVector<unsigned> &reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::mlir::FailureOr<MergeResult> detail::PartialReductionOpInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::mergeReductions(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, Location loc, ValueRange partialReduce, const ::mlir::SetVector<unsigned> &reductionDims) const {
return failure();
}
template<typename ConcreteModel, typename ConcreteOp>
::llvm::LogicalResult detail::PartialReductionOpInterfaceInterfaceTraits::ExternalModel<ConcreteModel, ConcreteOp>::getPartialResultTilePosition(::mlir::Operation *tablegen_opaque_val, ::mlir::OpBuilder &b, unsigned resultNumber, ReductionTilingStrategy tilingStrategy, ::mlir::ArrayRef<::mlir::OpFoldResult> offsets, ::mlir::ArrayRef<::mlir::OpFoldResult> sizes, const ::mlir::SetVector<unsigned> &reductionDims, ::mlir::ArrayRef<::mlir::OpFoldResult> splitReductionIvs, ::mlir::SmallVector<::mlir::OpFoldResult> &resultOffsets, ::mlir::SmallVector<::mlir::OpFoldResult> &resultSizes) const {
return failure();
}
} // namespace mlir