mlir Namespace Reference

Include the generated interface declarations. More...

Namespaces
	acc
	affine
	amdgpu
	arith
	arm_neon
	arm_sme
	arm_sve
	async
	AttributeTrait
	This trait is used to determine if an attribute is a dynamic attribute or not; it should only be implemented by dynamic attributes.
	bufferization
	builtin
	builtin_dialect_detail
	bytecode
	call_interface_impl
	cf
	dataflow
	detail
	AttrTypeReplacer.
	dialect_extension_detail
	dlti
	emitc
	func
	function_interface_impl
	gpu
	impl
	Attribute collections provide a dictionary-like interface.
	index
	intrange
	irdl
	khr
	linalg
	LLVM
	lsp
	matchers
	math
	MemoryEffects
	memref
	mesh
	ml_program
	nvgpu
	NVVM
	omp
	op_definition_impl
	OpTrait
	pdl
	pdl_to_pdl_interp
	pdll
	polynomial
	presburger
	python
	quant
	query
	ROCDL
	runtime
	scf
	shape
	SideEffects
	sparse_tensor
	Speculation
	spirv
	tblgen
	tensor
	tosa
	tracing
	transform
	TypeTrait
	This trait is used to determine if a type is a dynamic type or not; it should only be implemented by dynamic types.
	ub
	utils
	vector
	x86vector
	xegpu

Classes
class	LocalAliasAnalysis
	This class implements a local form of alias analysis that tries to identify the underlying values addressed by each value and performs a few basic checks to see if they alias. More...
class	AliasResult
	The possible results of an alias query. More...
class	ModRefResult
	The possible results of whether a memory access modifies or references a memory location. More...
class	AliasAnalysis
	This class represents the main alias analysis interface in MLIR. More...
class	CallGraphNode
	This class represents a single callable in the callgraph. More...
class	CallGraph
class	CFGLoop
	Representation of a single loop formed by blocks. More...
class	CFGLoopInfo
	An LLVM LoopInfo instantiation for MLIR that provides access to CFG loops found in the dominator tree. More...
struct	ProgramPoint
	Program point represents a specific location in the execution of a program. More...
class	GenericLatticeAnchor
	Abstract class for generic lattice anchor. More...
class	GenericLatticeAnchorBase
	Base class for generic lattice anchor based on a concrete lattice anchor type and a content key. More...
struct	LatticeAnchor
	Fundamental IR components are supported as first-class lattice anchor. More...
class	DataFlowConfig
	Configuration class for data flow solver and child analyses. More...
class	DataFlowSolver
	The general data-flow analysis solver. More...
class	AnalysisState
	Base class for generic analysis states. More...
class	DataFlowAnalysis
	Base class for all data-flow analyses. More...
class	DataLayoutAnalysis
	Stores data layout objects for each operation that specifies the data layout above and below the given operation. More...
class	FlatLinearConstraints
	FlatLinearConstraints is an extension of IntegerPolyhedron. More...
class	FlatLinearValueConstraints
	FlatLinearValueConstraints represents an extension of FlatLinearConstraints where each non-local variable can have an SSA Value attached to it. More...
class	Liveness
	Represents an analysis for computing liveness information from a given top-level operation. More...
class	LivenessBlockInfo
	This class represents liveness information on block level. More...
struct	SliceOptions
struct	BackwardSliceOptions
class	WalkContinuation
	A class to signal how to proceed with the walk of the backward slice: More...
class	SymbolTableAnalysis
	This is a simple analysis that contains a symbol table collection and, for simplicity, a reference to the top-level symbol table. More...
class	AsmParserState
	This class represents state from a parsed MLIR textual format string. More...
class	AsmParserCodeCompleteContext
	This class provides an abstract interface into the parser for hooking in code completion events. More...
class	PyShapedType
	Shaped Type Interface - ShapedType. More...
class	DialectVersion
	This class is used to represent the version of a dialect, for the purpose of polymorphic destruction. More...
class	DialectBytecodeReader
	This class defines a virtual interface for reading a bytecode stream, providing hooks into the bytecode reader. More...
class	DialectBytecodeWriter
	This class defines a virtual interface for writing to a bytecode stream, providing hooks into the bytecode writer. More...
class	BytecodeDialectInterface
class	BytecodeReader
	The BytecodeReader allows to load MLIR bytecode files, while keeping the state explicitly available in order to support lazy loading. More...
class	AttrTypeBytecodeReader
	A class to interact with the attributes and types parser when parsing MLIR bytecode. More...
class	BytecodeReaderConfig
	A class containing bytecode-specific configurations of the ParserConfig. More...
class	AttrTypeBytecodeWriter
	A class to interact with the attributes and types printer when emitting MLIR bytecode. More...
class	BytecodeWriterConfig
	This class contains the configuration used for the bytecode writer. More...
class	OperationPass
	Pass to transform an operation of a specific type. More...
class	ComplexStructBuilder
class	ControlFlowToSCFTransformation
	Implementation of CFGToSCFInterface used to lift Control Flow Dialect operations to SCF Dialect operations. More...
class	ConvertToLLVMPatternInterface
	Base class for dialect interfaces providing translation to LLVM IR. More...
struct	FunctionCallBuilder
class	LLVMConversionTarget
	Derived class that automatically populates legalization information for different LLVM ops. More...
class	LowerToLLVMOptions
	Options to control the LLVM lowering. More...
class	MemRefDescriptor
	Helper class to produce LLVM dialect operations extracting or inserting elements of a MemRef descriptor. More...
class	MemRefDescriptorView
	Helper class allowing the user to access a range of Values that correspond to an unpacked memref descriptor using named accessors. More...
class	UnrankedMemRefDescriptor
class	ConvertToLLVMPattern
	Base class for operation conversions targeting the LLVM IR dialect. More...
class	ConvertOpToLLVMPattern
	Utility class for operation conversions targeting the LLVM dialect that match exactly one source operation. More...
class	OneToOneConvertToLLVMPattern
	Generic implementation of one-to-one conversion from "SourceOp" to "TargetOp" where the latter belongs to the LLVM dialect or an equivalent. More...
class	StructBuilder
	Helper class to produce LLVM dialect operations extracting or inserting values to a struct. More...
class	LLVMTypeConverter
	Conversion from types to the LLVM IR dialect. More...
class	AttrConvertPassThrough
class	VectorConvertToLLVMPattern
	Basic lowering implementation to rewrite Ops with just one result to the LLVM Dialect. More...
struct	AllocationOpLLVMLowering
	Lowering for memory allocation ops. More...
struct	AllocLikeOpLLVMLowering
	Lowering for AllocOp and AllocaOp. More...
class	InterfacePass
	Pass to transform an operation that implements the given interface. More...
struct	ScfToSPIRVContext
class	SPIRVToLLVMConversion
struct	VectorTransferToSCFOptions
	When lowering an N-d vector transfer op to an (N-1)-d vector transfer op, a temporary buffer is created through which individual (N-1)-d vector are staged. More...
struct	ArithBuilder
	Helper struct to build simple arithmetic quantities with minimal type inference support. More...
class	BufferViewFlowAnalysis
	A straight-forward alias analysis which ensures that all dependencies of all values will be determined. More...
class	BufferOriginAnalysis
	An is-same-buffer analysis that checks if two SSA values belong to the same buffer allocation or not. More...
class	HasDefaultDLTIDataLayout
	Trait to be used by operations willing to use the implementation of the data layout interfaces provided by the Target dialect. More...
struct	MathPolynomialApproximationOptions
struct	UnrolledLoopInfo
struct	SparsificationOptions
	Options for the Sparsification pass. More...
struct	SparseIterationTypeConverter
	Type converter for iter_space and iterator. More...
class	SparseTensorTypeToPtrConverter
	Sparse tensor type converter into an opaque pointer. More...
class	SparseTensorTypeToBufferConverter
	Sparse tensor type converter into an actual buffer. More...
class	StorageSpecifierToLLVMTypeConverter
struct	SPIRVConversionOptions
class	SPIRVTypeConverter
	Type conversion from builtin types to SPIR-V types for shader interface. More...
class	SPIRVConversionTarget
class	VulkanLayoutUtils
	According to the Vulkan spec "15.6.4. Offset and Stride Assignment": "There are different alignment requirements depending on the specific resources and on the features enabled on the device. More...
class	OwningOpRef
	This class acts as an owning reference to an op, and will automatically destroy the held op on destruction if the held op is valid. More...
class	DiagnosedSilenceableFailure
	The result of a transform IR operation application. More...
class	DiagnosedDefiniteFailure
	A compatibility class connecting InFlightDiagnostic to DiagnosedSilenceableFailure while providing an interface similar to the former. More...
class	RaggedArray
	A 2D array where each row may have different length. More...
class	StaticTileOffsetRange
	A range-style iterator that allows for iterating over the offsets of all potential tiles of size tileShape within the larger shape shape, using an ordering specified by loopOrder. More...
struct	ComposeReassociativeReshapeOps
	Pattern to collapse producer/consumer reshape ops that are both collapsing dimensions or are both expanding dimensions. More...
struct	ComposeCollapseOfExpandOp
	Pattern to compose collapse_shape(expand_shape(src, reassociation_1), reassociation_2). More...
struct	ComposeExpandOfCollapseOp
struct	Range
	Represents a range (offset, size, and stride) where each element of the triple may be dynamic or static. More...
struct	SaturatedInteger
	Idiomatic saturated operations on values like offsets, sizes, and strides. More...
class	StructuredGenerator
	Helper StructuredGenerator class to manipulate and rewrite ops with StructuredOpInterface. More...
class	SimpleObjectCache
	A simple object cache following Lang's LLJITWithObjectCache example. More...
struct	ExecutionEngineOptions
class	ExecutionEngine
	JIT-backed execution engine for MLIR. More...
struct	JitRunnerOptions
	JitRunner command line options used by JitRunnerConfig methods. More...
struct	JitRunnerConfig
	Configuration to override functionality of the JitRunner. More...
class	OwningMemRef
	Owning MemRef type that abstracts over the runtime type for ranked strided memref. More...
struct	CallInterfaceCallable
	A callable is either a symbol, or an SSA value, that is referenced by a call-like operation. More...
class	SuccessorOperands
	This class models how operands are forwarded to block arguments in control flow. More...
class	RegionSuccessor
	This class represents a successor of a region. More...
class	RegionBranchPoint
	This class represents a point being branched from in the methods of the RegionBranchOpInterface. More...
class	InvocationBounds
	This class represents upper and lower bounds on the number of times a region of a RegionBranchOpInterface can be invoked. More...
class	DataLayoutDialectInterface
	An interface to be implemented by dialects that can have identifiers in the data layout specification entries. More...
class	DataLayout
	The main mechanism for performing data layout queries. More...
class	DialectFoldInterface
	Define a fold interface to allow for dialects to control specific aspects of the folding behavior for operations they define. More...
class	ConstantIntRanges
	A set of arbitrary-precision integers representing bounds on a given integer value. More...
class	IntegerValueRange
	This lattice value represents the integer range of an SSA value. More...
class	ShapeAdaptor
	Adaptor class to abstract the differences between whether value is from a ShapedType or ShapedTypeComponents or DenseIntElementsAttribute. More...
class	ShapedTypeComponents
	ShapedTypeComponents that represents the components of a ShapedType. More...
class	ValueShapeRange
	Range of values and shapes (corresponding effectively to Shapes dialect's ValueShape type concept). More...
struct	JamBlockGatherer
struct	MemorySlot
	Represents a slot in memory. More...
struct	DestructurableMemorySlot
	Memory slot attached with information about its destructuring procedure. More...
struct	TilingResult
	Container for result values of tiling. More...
struct	MergeResult
	Container for the result of merge operation of tiling. More...
class	HyperrectangularSlice
	A hyperrectangular slice, represented as a list of offsets, sizes and strides. More...
class	ValueBoundsConstraintSet
	A helper class to be used with ValueBoundsOpInterface. More...
class	OpWithOffsetSizesAndStridesConstantArgumentFolder
	Pattern to rewrite dynamic offsets/sizes/strides of view/slice-like ops as constant arguments. More...
class	AffineExpr
	Base type for affine expression. More...
class	AffineBinaryOpExpr
	Affine binary operation expression. More...
class	AffineDimExpr
	A dimensional identifier appearing in an affine expression. More...
class	AffineSymbolExpr
	A symbolic identifier appearing in an affine expression. More...
class	AffineConstantExpr
	An integer constant appearing in affine expression. More...
class	AffineExprVisitorBase
	Base class for AffineExpr visitors/walkers. More...
class	AffineExprVisitor
	See documentation for AffineExprVisitorBase. More...
class	AffineExprVisitor< SubClass, LogicalResult >
class	SimpleAffineExprFlattener
class	AffineMap
	A multi-dimensional affine map Affine map's are immutable like Type's, and they are uniqued. More...
struct	MutableAffineMap
	A mutable affine map. Its affine expressions are however unique. More...
class	AsmResourceBlob
	This class represents a processed binary blob of data. More...
class	HeapAsmResourceBlob
	This class provides a simple utility wrapper for creating heap allocated AsmResourceBlobs. More...
class	UnmanagedAsmResourceBlob
	This class provides a simple utility wrapper for creating "unmanaged" AsmResourceBlobs. More...
class	AsmResourceBuilder
	This class is used to build resource entries for use by the printer. More...
class	AsmParsedResourceEntry
	This class represents a single parsed resource entry. More...
class	AsmResourceParser
	This class represents an instance of a resource parser. More...
class	AsmResourcePrinter
	This class represents an instance of a resource printer. More...
class	FallbackAsmResourceMap
	A fallback map containing external resources not explicitly handled by another parser/printer. More...
class	ParserConfig
	This class represents a configuration for the MLIR assembly parser. More...
class	AsmState
	This class provides management for the lifetime of the state used when printing the IR. More...
class	Attribute
	Attributes are known-constant values of operations. More...
class	NamedAttribute
	NamedAttribute represents a combination of a name and an Attribute value. More...
struct	AttrTypeSubElementHandler< NamedAttribute >
	Allow walking and replacing the subelements of a NamedAttribute. More...
class	AttributeInterface
	This class represents the base of an attribute interface. More...
class	AbstractAttribute
	This class contains all of the static information common to all instances of a registered Attribute. More...
class	AttributeStorage
	Base storage class appearing in an attribute. More...
class	AttrTypeWalker
	AttrTypeWalker. More...
class	AttrTypeReplacer
	This is an attribute/type replacer that is naively cached. More...
class	CyclicAttrTypeReplacer
	This is an attribute/type replacer that supports custom handling of cycles in the replacer logic. More...
class	AttrTypeImmediateSubElementWalker
	AttrTypeSubElementHandler. More...
class	AttrTypeSubElementReplacements
	This class is used by AttrTypeSubElementHandler instances to process sub element replacements. More...
struct	AttrTypeSubElementHandler
	This class provides support for interacting with the SubElementInterfaces for different types of parameters. More...
struct	AttrTypeSubElementHandler< T, std::enable_if_t< std::is_base_of_v< Attribute, T >||std::is_base_of_v< Type, T > > >
	Implementation for derived Attributes and Types. More...
struct	AttrTypeSubElementHandler< ArrayRef< T >, std::enable_if_t< has_sub_attr_or_type_v< T > > >
	Implementation for derived ArrayRef. More...
struct	AttrTypeSubElementHandler< std::tuple< Ts... >, std::enable_if_t< has_sub_attr_or_type_v< Ts... > > >
	Implementation for Tuple. More...
class	ValueTypeRange
	This class implements iteration on the types of a given range of values. More...
class	Block
	Block represents an ordered list of Operations. More...
class	BlockOperand
	A block operand represents an operand that holds a reference to a Block, e.g. More...
class	PredecessorIterator
	Implement a predecessor iterator for blocks. More...
class	SuccessorRange
	This class implements the successor iterators for Block. More...
class	BlockRange
	This class provides an abstraction over the different types of ranges over Blocks. More...
class	Builder
	This class is a general helper class for creating context-global objects like types, attributes, and affine expressions. More...
class	OpBuilder
	This class helps build Operations. More...
struct	DialectResourceBlobHandle
	This class defines a dialect specific handle to a resource blob. More...
class	DenseElementsAttr
	An attribute that represents a reference to a dense vector or tensor object. More...
class	SplatElementsAttr
	An attribute that represents a reference to a splat vector or tensor constant, meaning all of the elements have the same value. More...
class	BoolAttr
	Special case of IntegerAttr to represent boolean integers, i.e., signless i1 integers. More...
class	FlatSymbolRefAttr
	A symbol reference with a reference path containing a single element. More...
class	DenseFPElementsAttr
	An attribute that represents a reference to a dense float vector or tensor object. More...
class	DenseIntElementsAttr
	An attribute that represents a reference to a dense integer vector or tensor object. More...
class	DistinctAttr
	An attribute that associates a referenced attribute with a unique identifier. More...
class	ValueSemantics
	Type trait indicating that the type has value semantics. More...
class	FloatType
class	TensorType
	Tensor types represent multi-dimensional arrays, and have two variants: RankedTensorType and UnrankedTensorType. More...
class	BaseMemRefType
	This class provides a shared interface for ranked and unranked memref types. More...
class	ScalableVectorType
	A vector type containing at least one scalable dimension. More...
class	FixedVectorType
	A vector type with no scalable dimensions. More...
class	DiagnosticArgument
	A variant type that holds a single argument for a diagnostic. More...
class	Diagnostic
	This class contains all of the information necessary to report a diagnostic to the DiagnosticEngine. More...
class	InFlightDiagnostic
	This class represents a diagnostic that is inflight and set to be reported. More...
class	DiagnosticEngine
	This class is the main interface for diagnostics. More...
class	ScopedDiagnosticHandler
	This diagnostic handler is a simple RAII class that registers and erases a diagnostic handler on a given context. More...
class	SourceMgrDiagnosticHandler
	This class is a utility diagnostic handler for use with llvm::SourceMgr. More...
class	SourceMgrDiagnosticVerifierHandler
	This class is a utility diagnostic handler for use with llvm::SourceMgr that verifies that emitted diagnostics match 'expected-*' lines on the corresponding line of the source file. More...
class	ParallelDiagnosticHandler
	This class is a utility diagnostic handler for use when multi-threading some part of the compiler where diagnostics may be emitted. More...
class	Dialect
	Dialects are groups of MLIR operations, types and attributes, as well as behavior associated with the entire group. More...
class	DialectAsmPrinter
	This is a pure-virtual base class that exposes the asmprinter hooks necessary to implement a custom printAttribute/printType() method on a dialect. More...
class	DialectAsmParser
	The DialectAsmParser has methods for interacting with the asm parser when parsing attributes and types. More...
struct	FieldParser
	Provide a template class that can be specialized by users to dispatch to parsers. More...
struct	FieldParser< AttributeT, std::enable_if_t< std::is_base_of< Attribute, AttributeT >::value, AttributeT > >
	Parse an attribute. More...
struct	FieldParser< TypeT, std::enable_if_t< std::is_base_of< Type, TypeT >::value, TypeT > >
	Parse a type. More...
struct	FieldParser< IntT, std::enable_if_t< std::is_integral< IntT >::value, IntT > >
	Parse any integer. More...
struct	FieldParser< std::string >
	Parse a string. More...
struct	FieldParser< std::optional< AttributeT >, std::enable_if_t< std::is_base_of< Attribute, AttributeT >::value, std::optional< AttributeT > > >
	Parse an Optional attribute. More...
struct	FieldParser< std::optional< IntT >, std::enable_if_t< std::is_integral< IntT >::value, std::optional< IntT > > >
	Parse an Optional integer. More...
struct	FieldParser< ContainerT, std::enable_if_t< llvm::is_detected< detail::has_push_back_t, ContainerT >::value, ContainerT > >
	Parse any container that supports back insertion as a list. More...
struct	FieldParser< AffineMap >
	Parse an affine map. More...
class	DialectInterface
	This class represents an interface overridden for a single dialect. More...
class	DialectInterfaceCollection
	A collection of dialect interfaces within a context, for a given concrete interface type. More...
class	DialectExtensionBase
	This class represents an opaque dialect extension. More...
class	DialectExtension
	This class represents a dialect extension anchored on the given set of dialects. More...
class	DialectRegistry
	The DialectRegistry maps a dialect namespace to a constructor for the matching dialect. More...
class	DialectResourceBlobManager
	This class defines a manager for dialect resource blobs. More...
class	ResourceBlobManagerDialectInterface
	This class implements a dialect interface that provides common functionality for interacting with a resource blob manager. More...
class	ResourceBlobManagerDialectInterfaceBase
	This class provides a base class for dialects implementing the resource blob interface. More...
class	DominanceInfo
	A class for computing basic dominance information. More...
class	PostDominanceInfo
	A class for computing basic postdominance information. More...
class	DynamicAttrDefinition
	The definition of a dynamic attribute. More...
class	DynamicAttr
	A dynamic attribute instance. More...
class	DynamicTypeDefinition
	The definition of a dynamic type. More...
class	DynamicType
	A dynamic type instance. More...
class	DynamicOpDefinition
	The definition of a dynamic op. More...
class	ExtensibleDialect
	A dialect that can be extended with new operations/types/attributes at runtime. More...
class	DynamicDialect
	A dialect that can be defined at runtime. More...
class	ImplicitLocOpBuilder
	ImplicitLocOpBuilder maintains a 'current location', allowing use of the create<> method without specifying the location. More...
class	IntegerSet
	An integer set representing a conjunction of one or more affine equalities and inequalities. More...
class	IRMapping
	This is a utility class for mapping one set of IR entities to another. More...
struct	ReverseIterator
	This iterator enumerates elements in "reverse" order. More...
struct	ForwardDominanceIterator
	This iterator enumerates elements according to their dominance relationship. More...
struct	ReverseDominanceIterator
	This iterator enumerates elements according to their reverse dominance relationship. More...
class	LocationAttr
	Location objects represent source locations information in MLIR. More...
class	Location
	This class defines the main interface for locations in MLIR and acts as a non-nullable wrapper around a LocationAttr. More...
class	FusedLocWith
	This class represents a fused location whose metadata is known to be an instance of the given type. More...
class	FileLineColLoc
	An instance of this location represents a tuple of file, line number, and column number. More...
struct	AttrTypeSubElementHandler< Location >
	Enable locations to be introspected as sub-elements. More...
class	MLIRContext
	MLIRContext is the top-level object for a collection of MLIR operations. More...
class	OptionalParseResult
	This class implements Optional functionality for ParseResult. More...
struct	EmptyProperties
	Structure used by default as a "marker" when no "Properties" are set on an Operation. More...
struct	PropertiesSelector
	Traits to detect whether an Operation defined a Properties type, otherwise it'll default to EmptyProperties. More...
struct	PropertiesSelector< Op, std::void_t< typename Op::Properties > >
class	OpState
	This is the concrete base class that holds the operation pointer and has non-generic methods that only depend on State (to avoid having them instantiated on template types that don't affect them. More...
class	OpFoldResult
	This class represents a single result from folding an operation. More...
class	Op
	This provides public APIs that all operations should have. More...
class	OpInterface
	This class represents the base of an operation interface. More...
class	Operation
	Operation is the basic unit of execution within MLIR. More...
class	OpaqueProperties
	Simple wrapper around a void* in order to express generically how to pass in op properties through APIs. More...
class	OperationName
class	RegisteredOperationName
	This is a "type erased" representation of a registered operation. More...
class	NamedAttrList
	NamedAttrList is array of NamedAttributes that tracks whether it is sorted and does some basic work to remain sorted. More...
struct	OperationState
	This represents an operation in an abstracted form, suitable for use with the builder APIs. More...
class	OpPrintingFlags
	Set of flags used to control the behavior of the various IR print methods (e.g. More...
struct	OperationEquivalence
	This class provides utilities for computing if two operations are equivalent. More...
class	OperationFingerPrint
	A unique fingerprint for a specific operation, and all of it's internal operations (if includeNested is set). More...
class	AsmDialectResourceHandle
	This class represents an opaque handle to a dialect resource entry. More...
class	AsmDialectResourceHandleBase
	This class represents a CRTP base class for dialect resource handles. More...
class	AsmPrinter
	This base class exposes generic asm printer hooks, usable across the various derived printers. More...
class	OpAsmPrinter
	This is a pure-virtual base class that exposes the asmprinter hooks necessary to implement a custom print() method. More...
class	AsmParser
	This base class exposes generic asm parser hooks, usable across the various derived parsers. More...
class	OpAsmParser
	The OpAsmParser has methods for interacting with the asm parser: parsing things from it, emitting errors etc. More...
class	OpAsmDialectInterface
class	PatternBenefit
	This class represents the benefit of a pattern match in a unitless scheme that ranges from 0 (very little benefit) to 65K. More...
class	Pattern
	This class contains all of the data related to a pattern, but does not contain any methods or logic for the actual matching. More...
class	RewritePattern
	RewritePattern is the common base class for all DAG to DAG replacements. More...
struct	OpRewritePattern
	OpRewritePattern is a wrapper around RewritePattern that allows for matching and rewriting against an instance of a derived operation class as opposed to a raw Operation. More...
struct	OpInterfaceRewritePattern
	OpInterfaceRewritePattern is a wrapper around RewritePattern that allows for matching and rewriting against an instance of an operation interface instead of a raw Operation. More...
class	OpTraitRewritePattern
	OpTraitRewritePattern is a wrapper around RewritePattern that allows for matching and rewriting against instances of an operation that possess a given trait. More...
class	RewriterBase
	This class coordinates the application of a rewrite on a set of IR, providing a way for clients to track mutations and create new operations. More...
class	IRRewriter
	This class coordinates rewriting a piece of IR outside of a pattern rewrite, providing a way to keep track of the mutations made to the IR. More...
class	PatternRewriter
	A special type of RewriterBase that coordinates the application of a rewrite pattern on the current IR being matched, providing a way to keep track of any mutations made. More...
class	RewritePatternSet
class	Region
	This class contains a list of basic blocks and a link to the parent operation it is attached to. More...
class	RegionRange
	This class provides an abstraction over the different types of ranges over Regions. More...
class	SymbolTable
	This class allows for representing and managing the symbol table used by operations with the 'SymbolTable' trait. More...
class	SymbolTableCollection
	This class represents a collection of SymbolTables. More...
class	LockedSymbolTableCollection
	This class implements a lock-based shared wrapper around a symbol table collection that allows shared access to the collection of symbol tables. More...
class	SymbolUserMap
	This class represents a map of symbols to users, and provides efficient implementations of symbol queries related to users; such as collecting the users of a symbol, replacing all uses, etc. More...
class	TypeRange
	This class provides an abstraction over the various different ranges of value types. More...
class	TypeRangeRange
	This class provides an abstraction for a range of TypeRange. More...
class	ValueTypeIterator
	This class implements iteration on the types of a given range of values. More...
struct	AttrTypeSubElementHandler< TypeRange >
	Enable TypeRange to be introspected for sub-elements. More...
class	Type
	Instances of the Type class are uniqued, have an immutable identifier and an optional mutable component. More...
class	TypeInterface
	This class represents the base of a type interface. More...
class	AbstractType
	This class contains all of the static information common to all instances of a registered Type. More...
class	TypeStorage
	Base storage class appearing in a Type. More...
class	OperandElementTypeIterator
class	ResultElementTypeIterator
class	IRUnit
	IRUnit is a union of the different types of IR objects that consistute the IR structure (other than Type and Attribute), that is Operation, Region, and Block. More...
class	ValueUseIterator
	An iterator class that allows for iterating over the uses of an IR operand type. More...
class	ValueUserIterator
	An iterator over the users of an IRObject. More...
class	IROperand
	A reference to a value, suitable for use as an operand of an operation. More...
class	IRObjectWithUseList
	This class represents a single IR object that contains a use list. More...
class	Value
	This class represents an instance of an SSA value in the MLIR system, representing a computable value that has a type and a set of users. More...
class	OpOperand
	This class represents an operand of an operation. More...
class	BlockArgument
	This class represents an argument of a Block. More...
class	OpResult
	This is a value defined by a result of an operation. More...
class	OperandRange
	This class implements the operand iterators for the Operation class. More...
class	OperandRangeRange
	This class represents a contiguous range of operand ranges, e.g. More...
class	MutableOperandRange
	This class provides a mutable adaptor for a range of operands. More...
class	MutableOperandRangeRange
	This class represents a contiguous range of mutable operand ranges, e.g. More...
class	ResultRange
	This class implements the result iterators for the Operation class. More...
class	ValueRange
	This class provides an abstraction over the different types of ranges over Values. More...
class	WalkResult
	A utility result that is used to signal how to proceed with an ongoing walk: More...
struct	ForwardIterator
	This iterator enumerates the elements in "forward" order. More...
class	WalkStage
	A utility class to encode the current walk stage for "generic" walkers. More...
class	AnalysisManager
	This class represents an analysis manager for a particular operation instance. More...
class	ModuleAnalysisManager
	An analysis manager class specifically for the top-level operation. More...
class	Pass
	The abstract base pass class. More...
class	OperationPass< void >
	Pass to transform an operation. More...
class	PassWrapper
	This class provides a CRTP wrapper around a base pass class to define several necessary utility methods. More...
class	PassExecutionAction
	This class encapsulates the "action" of executing a single pass. More...
class	PassInstrumentation
	PassInstrumentation provides several entry points into the pass manager infrastructure. More...
class	PassInstrumentor
	This class holds a collection of PassInstrumentation objects, and invokes their respective call backs. More...
class	OpPassManager
	This class represents a pass manager that runs passes on either a specific operation type, or any isolated operation. More...
struct	ReproducerStream
	Streams on which to output crash reproducer. More...
class	PassManager
	The main pass manager and pipeline builder. More...
class	PassPipelineOptions
	Subclasses of PassPipelineOptions provide a set of options that can be used to initialize a pass pipeline. More...
struct	EmptyPipelineOptions
	A default empty option struct to be used for passes that do not need to take any options. More...
class	PassRegistryEntry
	Structure to group information about a passes and pass pipelines (argument to invoke via mlir-opt, description, pass pipeline builder). More...
class	PassPipelineInfo
	A structure to represent the information of a registered pass pipeline. More...
class	PassInfo
	A structure to represent the information for a derived pass class. More...
struct	PassRegistration
	PassRegistration provides a global initializer that registers a Pass allocation routine for a concrete pass instance. More...
struct	PassPipelineRegistration
	PassPipelineRegistration provides a global initializer that registers a Pass pipeline builder routine. More...
struct	PassPipelineRegistration< EmptyPipelineOptions >
	Convenience specialization of PassPipelineRegistration for EmptyPassOptions that does not pass an empty options struct to the pass builder function. More...
class	PassPipelineCLParser
	This class implements a command-line parser for MLIR passes. More...
class	PassNameCLParser
	This class implements a command-line parser specifically for MLIR pass names. More...
struct	PassReproducerOptions
class	ReductionNode
	ReductionTreePass will build a reduction tree during module reduction and the ReductionNode represents the vertex of the tree. More...
class	DialectReductionPatternInterface
	This is used to report the reduction patterns for a Dialect. More...
class	Tester
	This class is used to keep track of the testing environment of the tool. More...
class	FrozenRewritePatternSet
	This class represents a frozen set of patterns that can be processed by a pattern applicator. More...
class	ApplyPatternAction
	This is the type of Action that is dispatched when a pattern is applied. More...
class	PatternApplicator
	This class manages the application of a group of rewrite patterns, with a user-provided cost model. More...
class	CopyOnWriteArrayRef
class	CyclicReplacerCache
	A cache for replacer-like functions that map values between two domains. More...
class	CachedCyclicReplacer
	A helper class for cases where the input/output types of the replacer function is identical to the types stored in the cache. More...
class	raw_indented_ostream
	raw_ostream subclass that simplifies indention a sequence of code. More...
class	StorageUniquer
	A utility class to get or create instances of "storage classes". More...
class	ThreadLocalCache
	This class provides support for defining a thread local object with non static storage duration. More...
class	TimingIdentifier
	This class represesents a uniqued string owned by a TimingManager. More...
class	TimingManager
	This class represents facilities to measure execution time. More...
class	Timer
	A handle for a timer in a TimingManager. More...
class	TimingScope
	An RAII-style wrapper around a timer that ensures the timer is properly started and stopped. More...
struct	TimeRecord
	Simple record class to record timing information. More...
class	OutputStrategy
	Facilities for printing timing reports to various output formats. More...
class	DefaultTimingManager
	Facilities for time measurement and report printing to an output stream. More...
class	TypeID
	This class provides an efficient unique identifier for a specific C++ type. More...
class	TypeIDAllocator
	This class provides a way to define new TypeIDs at runtime. More...
class	SelfOwningTypeID
	Defines a TypeID for each instance of this class by using a pointer to the instance. More...
class	GenInfo
	Structure to group information about a generator (argument to invoke via mlir-tblgen, description, and generator function). More...
struct	GenRegistration
	GenRegistration provides a global initializer that registers a generator function. More...
struct	GenNameParser
	Adds command line option for each registered generator. More...
class	LLVMImportDialectInterface
	Base class for dialect interfaces used to import LLVM IR. More...
class	LLVMImportInterface
	Interface collection for the import of LLVM IR that dispatches to a concrete dialect interface implementation. More...
class	LLVMTranslationDialectInterface
	Base class for dialect interfaces providing translation to LLVM IR. More...
class	LLVMTranslationInterface
	Interface collection for translation to LLVM IR, dispatches to a concrete interface implementation based on the dialect to which the given op belongs. More...
class	MlirOptMainConfig
	Configuration options for the mlir-opt tool. More...
class	Translation
	This class contains all of the components necessary for performing a translation. More...
struct	TranslateToMLIRRegistration
	Use Translate[ToMLIR|FromMLIR]Registration as an initializer that registers a function and associates it with name. More...
struct	TranslateFromMLIRRegistration
struct	TranslateRegistration
struct	TranslationParser
	A command line parser for translation functions. More...
struct	DialectPluginLibraryInfo
	Information about the plugin required to load its dialects & passes. More...
class	DialectPlugin
	A loaded dialect plugin. More...
struct	PassPluginLibraryInfo
	Information about the plugin required to load its passes. More...
class	PassPlugin
	A loaded pass plugin. More...
class	CFGToSCFInterface
	Interface that should be implemented by any caller of transformCFGToSCF. More...
class	TypeConverter
	Type conversion class. More...
class	ConversionPattern
	Base class for the conversion patterns. More...
class	OpConversionPattern
	OpConversionPattern is a wrapper around ConversionPattern that allows for matching and rewriting against an instance of a derived operation class as opposed to a raw Operation. More...
class	OpInterfaceConversionPattern
	OpInterfaceConversionPattern is a wrapper around ConversionPattern that allows for matching and rewriting against an instance of an OpInterface class as opposed to a raw Operation. More...
class	OpTraitConversionPattern
	OpTraitConversionPattern is a wrapper around ConversionPattern that allows for matching and rewriting against instances of an operation that possess a given trait. More...
class	ConversionPatternRewriter
	This class implements a pattern rewriter for use with ConversionPatterns. More...
class	ConversionTarget
	This class describes a specific conversion target. More...
class	PDLConversionConfig
	A PDL configuration that is used to supported dialect conversion functionality. More...
struct	ConversionConfig
	Dialect conversion configuration. More...
struct	EndomorphismSimplification
class	OperationFolder
	A utility class for folding operations, and unifying duplicated constants generated along the way. More...
class	GreedyRewriteConfig
	This class allows control over how the GreedyPatternRewriteDriver works. More...
struct	HomomorphismSimplification
class	InlinerConfig
class	Inliner
	This is an implementation of the inliner that operates bottom up over the Strongly Connected Components(SCCs) of the CallGraph. More...
class	DialectInlinerInterface
	This is the interface that must be implemented by the dialects of operations to be inlined. More...
class	InlinerInterface
	This interface provides the hooks into the inlining interface. More...
struct	Mem2RegStatistics
	Statistics collected while applying mem2reg. More...
class	OneToNTypeMapping
	Stores a 1:N mapping of types and provides several useful accessors. More...
class	RewritePatternWithConverter
	Extends the basic RewritePattern class with a type converter member and some accessors to it. More...
class	OneToNPatternRewriter
	Specialization of PatternRewriter that OneToNConversionPatterns use. More...
class	OneToNConversionPattern
	Base class for patterns with 1:N type conversions. More...
class	OneToNOpConversionPattern
	This class is a wrapper around OneToNConversionPattern for matching against instances of a particular op class. More...
struct	SROAStatistics
	Statistics collected while applying SROA. More...
class	Lexer
	This class breaks up the current file into a token stream. More...
class	Token
	This represents a token in the MLIR syntax. More...
struct	PyPrintAccumulator
	Accumulates into a python string from a method that accepts an MlirStringCallback. More...
class	PyFileAccumulator
	Accumulates int a python file-like object, either writing text (default) or binary. More...
struct	PySinglePartStringAccumulator
	Accumulates into a python string from a method that is expected to make one (no more, no less) call to the callback (asserts internally on violation). More...
class	Sliceable
	A CRTP base class for pseudo-containers willing to support Python-type slicing access on top of indexed access. More...
class	ExternalPass
	This pass class wraps external passes defined in other languages using the MLIR C-interface. More...
struct	GPUDynamicSharedMemoryOpLowering
	Lowering for gpu.dynamic.shared.memory to LLVM dialect. More...
struct	GPUFuncOpLoweringOptions
struct	GPUFuncOpLowering
struct	GPUPrintfOpToHIPLowering
	The lowering of gpu.printf to a call to HIP hostcalls. More...
struct	GPUPrintfOpToLLVMCallLowering
	The lowering of gpu.printf to a call to an external printf() function. More...
struct	GPUPrintfOpToVPrintfLowering
	Lowering of gpu.printf to a vprintf standard library. More...
struct	GPUReturnOpLowering
struct	ScalarizeVectorOpLowering
	Rewriting that unrolls SourceOp to scalars if it's operating on vectors. More...
struct	OpToFuncCallLowering
	Rewriting that replace SourceOp with a CallOp to f32Func or f64Func or f32ApproxFunc or f16Func depending on the element type and the fastMathFlag of that Op. More...
struct	ScfToSPIRVContextImpl
struct	AttrTypeSubElementHandler< LLVM::detail::LLVMStructTypeStorage::Key >
	Allow walking and replacing the subelements of a LLVMStructTypeStorage key. More...
class	MLIRContextImpl
	This is the implementation of the MLIRContext class, using the pImpl idiom. More...
struct	OperationConverter

Typedefs
using	TransitiveFilter = SliceOptions::TransitiveFilter
using	ForwardSliceOptions = SliceOptions
using	WalkCallback = mlir::function_ref< WalkContinuation(mlir::Value)>
	A callback that is invoked for each value encountered during the walk of the slice. More...
using	LoweringCallback = std::function< std::unique_ptr< llvm::Module >(Operation *, llvm::LLVMContext &, StringRef)>
using	MemorySpaceMapping = std::function< unsigned(gpu::AddressSpace)>
	A function that maps a MemorySpace enum to a target-specific integer value. More...
using	ReassociationIndices = SmallVector< int64_t, 2 >
using	MemrefValue = TypedValue< BaseMemRefType >
	A value with a memref type. More...
using	Loops = SmallVector< scf::ForOp, 8 >
	Tile a nest of standard for loops rooted at rootForOp by finding such parametric tile sizes that the outer loops have a fixed number of iterations as defined in sizes. More...
using	TileLoops = std::pair< Loops, Loops >
using	ReassociationIndicesRef = ArrayRef< int64_t >
using	ReassociationExprs = SmallVector< AffineExpr, 2 >
using	AllocFunType = llvm::function_ref< void *(size_t)>
template<typename T >
using	ElementWiseVisitor = llvm::function_ref< void(T &ptr, ArrayRef< int64_t >)>
	Convenient callback to "visit" a memref element by element. More...
using	DataLayoutEntryKey = llvm::PointerUnion< Type, StringAttr >
using	DataLayoutEntryList = llvm::SmallVector< DataLayoutEntryInterface, 4 >
using	DataLayoutEntryListRef = llvm::ArrayRef< DataLayoutEntryInterface >
using	TargetDeviceSpecListRef = llvm::ArrayRef< TargetDeviceSpecInterface >
using	TargetDeviceSpecEntry = std::pair< StringAttr, TargetDeviceSpecInterface >
using	SetIntRangeFn = llvm::function_ref< void(Value, const ConstantIntRanges &)>
	The type of the setResultRanges callback provided to ops implementing InferIntRangeInterface. More...
using	SetIntLatticeFn = llvm::function_ref< void(Value, const IntegerValueRange &)>
	Similar to SetIntRangeFn, but operating on IntegerValueRange lattice values. More...
using	ReifiedRankedShapedTypeDims = SmallVector< SmallVector< OpFoldResult > >
using	NewYieldValuesFn = std::function< SmallVector< Value >(OpBuilder &b, Location loc, ArrayRef< BlockArgument > newBbArgs)>
	A function that returns the additional yielded values during replaceWithAdditionalYields. More...
using	ValueDimList = SmallVector< std::pair< Value, std::optional< int64_t > >>
using	DefaultAttributeStorage = AttributeStorage
	Default storage type for attributes that require no additional initialization or storage. More...
using	AttributeStorageAllocator = StorageUniquer::StorageAllocator
using	AttrSubElementReplacements = AttrTypeSubElementReplacements< Attribute >
using	TypeSubElementReplacements = AttrTypeSubElementReplacements< Type >
using	DenseResourceElementsHandle = DialectResourceBlobHandle< BuiltinDialect >
using	DenseBoolArrayAttr = detail::DenseArrayAttrImpl< bool >
using	DenseI8ArrayAttr = detail::DenseArrayAttrImpl< int8_t >
using	DenseI16ArrayAttr = detail::DenseArrayAttrImpl< int16_t >
using	DenseI32ArrayAttr = detail::DenseArrayAttrImpl< int32_t >
using	DenseI64ArrayAttr = detail::DenseArrayAttrImpl< int64_t >
using	DenseF32ArrayAttr = detail::DenseArrayAttrImpl< float >
using	DenseF64ArrayAttr = detail::DenseArrayAttrImpl< double >
using	DenseBoolResourceElementsAttr = detail::DenseResourceElementsAttrBase< bool >
using	DenseI8ResourceElementsAttr = detail::DenseResourceElementsAttrBase< int8_t >
using	DenseI16ResourceElementsAttr = detail::DenseResourceElementsAttrBase< int16_t >
using	DenseI32ResourceElementsAttr = detail::DenseResourceElementsAttrBase< int32_t >
using	DenseI64ResourceElementsAttr = detail::DenseResourceElementsAttrBase< int64_t >
using	DenseUI8ResourceElementsAttr = detail::DenseResourceElementsAttrBase< uint8_t >
using	DenseUI16ResourceElementsAttr = detail::DenseResourceElementsAttrBase< uint16_t >
using	DenseUI32ResourceElementsAttr = detail::DenseResourceElementsAttrBase< uint32_t >
using	DenseUI64ResourceElementsAttr = detail::DenseResourceElementsAttrBase< uint64_t >
using	DenseF32ResourceElementsAttr = detail::DenseResourceElementsAttrBase< float >
using	DenseF64ResourceElementsAttr = detail::DenseResourceElementsAttrBase< double >
using	DialectAllocatorFunction = std::function< Dialect *(MLIRContext *)>
using	DialectAllocatorFunctionRef = function_ref< Dialect *(MLIRContext *)>
using	DynamicDialectPopulationFunction = std::function< void(MLIRContext *, DynamicDialect *)>
using	DominanceInfoNode = llvm::DomTreeNodeBase< Block >
using	OpAsmSetValueNameFn = function_ref< void(Value, StringRef)>
	A functor used to set the name of the start of a result group of an operation. More...
using	OpAsmSetBlockNameFn = function_ref< void(Block *, StringRef)>
	A functor used to set the name of blocks in regions directly nested under an operation. More...
using	TypeRangeRangeIterator = llvm::mapped_iterator< llvm::iota_range< unsigned >::iterator, std::function< TypeRange(unsigned)> >
using	DefaultTypeStorage = TypeStorage
	Default storage type for types that require no additional initialization or storage. More...
using	TypeStorageAllocator = StorageUniquer::StorageAllocator
	This is a utility allocator used to allocate memory for instances of derived Types. More...
using	OperandElementTypeRange = iterator_range< OperandElementTypeIterator >
using	ResultElementTypeRange = iterator_range< ResultElementTypeIterator >
template<typename Ty , typename Value = mlir::Value>
using	TypedValue = std::conditional_t< std::is_same_v< Ty, mlir::Type >, mlir::Value, detail::TypedValue< Ty > >
	If Ty is mlir::Type this will select Value instead of having a wrapper around it. More...
using	ReproducerStreamFactory = std::function< std::unique_ptr< ReproducerStream >(std::string &error)>
	Method type for constructing ReproducerStream. More...
using	PassRegistryFunction = std::function< LogicalResult(OpPassManager &, StringRef options, function_ref< LogicalResult(const Twine &)> errorHandler)>
	A registry function that adds passes to the given pass manager. More...
using	PassAllocatorFunction = std::function< std::unique_ptr< Pass >()>
template<typename T , typename Enable = void>
using	DenseMapInfo = llvm::DenseMapInfo< T, Enable >
template<typename KeyT , typename ValueT , typename KeyInfoT = DenseMapInfo<KeyT>, typename BucketT = llvm::detail::DenseMapPair<KeyT, ValueT>>
using	DenseMap = llvm::DenseMap< KeyT, ValueT, KeyInfoT, BucketT >
template<typename ValueT , typename ValueInfoT = DenseMapInfo<ValueT>>
using	DenseSet = llvm::DenseSet< ValueT, ValueInfoT >
template<typename T , typename Vector = llvm::SmallVector<T, 0>, typename Set = DenseSet<T>, unsigned N = 0>
using	SetVector = llvm::SetVector< T, Vector, Set, N >
template<typename AllocatorTy = llvm::MallocAllocator>
using	StringSet = llvm::StringSet< AllocatorTy >
template<typename T , typename R = T>
using	StringSwitch = llvm::StringSwitch< T, R >
template<typename T , typename ResultT = void>
using	TypeSwitch = llvm::TypeSwitch< T, ResultT >
template<typename Fn >
using	function_ref = llvm::function_ref< Fn >
using	ChunkBufferHandler = function_ref< LogicalResult(std::unique_ptr< llvm::MemoryBuffer > chunkBuffer, raw_ostream &os)>
using	GenFunction = std::function< bool(const llvm::RecordKeeper &records, raw_ostream &os)>
	Generator function to invoke. More...
using	PassPipelineFn = llvm::function_ref< LogicalResult(PassManager &pm)>
	This defines the function type used to setup the pass manager. More...
using	TranslateSourceMgrToMLIRFunction = std::function< OwningOpRef< Operation * >(const std::shared_ptr< llvm::SourceMgr > &sourceMgr, MLIRContext *)>
	Interface of the function that translates the sources managed by sourceMgr to MLIR. More...
using	TranslateRawSourceMgrToMLIRFunction = std::function< OwningOpRef< Operation * >(llvm::SourceMgr &sourceMgr, MLIRContext *)>
using	TranslateStringRefToMLIRFunction = std::function< OwningOpRef< Operation * >(llvm::StringRef, MLIRContext *)>
	Interface of the function that translates the given string to MLIR. More...
using	TranslateFromMLIRFunction = std::function< LogicalResult(Operation *, llvm::raw_ostream &output)>
	Interface of the function that translates MLIR to a different format and outputs the result to a stream. More...
using	TranslateFunction = std::function< LogicalResult(const std::shared_ptr< llvm::SourceMgr > &sourceMgr, llvm::raw_ostream &output, MLIRContext *)>
	Interface of the function that performs file-to-file translation involving MLIR. More...
using	DialectRegistrationFunction = std::function< void(DialectRegistry &)>
	Interface of the function that adds all dialects and dialect extensions used for the translation to the given DialectRegistry. More...

Enumerations
enum class	ChangeResult { NoChange , Change }
	A result type used to indicate if a change happened. More...
enum class	HoistingKind : uint8_t { None = 0 , Loop = 1 << 0 , Block = 1 << 1 }
enum class	SparseParallelizationStrategy {   kNone , kDenseOuterLoop , kAnyStorageOuterLoop , kDenseAnyLoop ,   kAnyStorageAnyLoop }
	Defines a parallelization strategy. More...
enum class	ReinterpretMapScope { kAll , kGenericOnly , kExceptGeneric }
	Defines a scope for reinterpret map pass. More...
enum class	SparseEmitStrategy { kFunctional , kSparseIterator , kDebugInterface }
	Defines a scope for reinterpret map pass. More...
enum class	SPIRVSubByteTypeStorage { Packed }
	How sub-byte values are storaged in memory. More...
enum class	ReshapeOpKind { kExpand , kCollapse }
enum class	DeletionKind { Keep , Delete }
	Returned by operation promotion logic requesting the deletion of an operation. More...
enum class	AffineExprKind {   Add , Mul , Mod , FloorDiv ,   CeilDiv , LAST_AFFINE_BINARY_OP = CeilDiv , Constant , DimId ,   SymbolId }
enum class	AsmResourceEntryKind { Blob , Bool , String }
	This enum represents the different kinds of resource values. More...
enum class	SliceVerificationResult {   Success , RankTooLarge , SizeMismatch , ElemTypeMismatch ,   MemSpaceMismatch , LayoutMismatch }
	Enum that captures information related to verifier error conditions on slice insert/extract type of ops. More...
enum class	DiagnosticSeverity { Note , Warning , Error , Remark }
	Defines the different supported severity of a diagnostic. More...
enum class	RegionKind { SSACFG , Graph }
	The kinds of regions contained in an operation. More...
enum class	WalkOrder { PreOrder , PostOrder }
	Traversal order for region, block and operation walk utilities. More...
enum class	PassDisplayMode { List , Pipeline }
	An enum describing the different display modes for the information within the pass manager. More...
enum	TraversalMode { SinglePath , Backtrack , MultiPath }
	Defines the traversal method options to be used in the reduction tree traversal. More...
enum class	VerbosityLevel { ErrorsOnly = 0 , ErrorsAndWarnings , ErrorsWarningsAndRemarks }
	enum class to indicate the verbosity level of the diagnostic filter. More...
enum class	GreedyRewriteStrictness { AnyOp , ExistingAndNewOps , ExistingOps }
	This enum controls which ops are put on the worklist during a greedy pattern rewrite. More...
enum class	GreedySimplifyRegionLevel { Disabled , Normal , Aggressive }

Functions
raw_ostream &	operator<< (raw_ostream &os, const AliasResult &result)
raw_ostream &	operator<< (raw_ostream &os, const ModRefResult &result)
ChangeResult	operator| (ChangeResult lhs, ChangeResult rhs)
ChangeResult &	operator|= (ChangeResult &lhs, ChangeResult rhs)
ChangeResult	operator& (ChangeResult lhs, ChangeResult rhs)
raw_ostream &	operator<< (raw_ostream &os, ProgramPoint point)
raw_ostream &	operator<< (raw_ostream &os, const AnalysisState &state)
raw_ostream &	operator<< (raw_ostream &os, LatticeAnchor anchor)
LogicalResult	getFlattenedAffineExpr (AffineExpr expr, unsigned numDims, unsigned numSymbols, SmallVectorImpl< int64_t > *flattenedExpr, FlatLinearConstraints *cst=nullptr, bool addConservativeSemiAffineBounds=false)
	Flattens 'expr' into 'flattenedExpr', which contains the coefficients of the dimensions, symbols, and additional variables that represent floor divisions of dimensions, symbols, and in turn other floor divisions. More...
LogicalResult	getFlattenedAffineExprs (AffineMap map, std::vector< SmallVector< int64_t, 8 >> *flattenedExprs, FlatLinearConstraints *cst=nullptr, bool addConservativeSemiAffineBounds=false)
	Flattens the result expressions of the map to their corresponding flattened forms and set in 'flattenedExprs'. More...
LogicalResult	getFlattenedAffineExprs (IntegerSet set, std::vector< SmallVector< int64_t, 8 >> *flattenedExprs, FlatLinearConstraints *cst=nullptr)
LogicalResult	getMultiAffineFunctionFromMap (AffineMap map, presburger::MultiAffineFunction &multiAff)
AffineMap	alignAffineMapWithValues (AffineMap map, ValueRange operands, ValueRange dims, ValueRange syms, SmallVector< Value > *newSyms=nullptr)
	Re-indexes the dimensions and symbols of an affine map with given operands values to align with dims and syms values. More...
void	getForwardSlice (Operation *op, SetVector< Operation * > *forwardSlice, const ForwardSliceOptions &options={})
	Fills forwardSlice with the computed forward slice (i.e. More...
void	getForwardSlice (Value root, SetVector< Operation * > *forwardSlice, const ForwardSliceOptions &options={})
	Value-rooted version of getForwardSlice. More...
void	getBackwardSlice (Operation *op, SetVector< Operation * > *backwardSlice, const BackwardSliceOptions &options={})
	Fills backwardSlice with the computed backward slice (i.e. More...
void	getBackwardSlice (Value root, SetVector< Operation * > *backwardSlice, const BackwardSliceOptions &options={})
	Value-rooted version of getBackwardSlice. More...
SetVector< Operation * >	getSlice (Operation *op, const BackwardSliceOptions &backwardSliceOptions={}, const ForwardSliceOptions &forwardSliceOptions={})
	Iteratively computes backward slices and forward slices until a fixed point is reached. More...
Value	matchReduction (ArrayRef< BlockArgument > iterCarriedArgs, unsigned redPos, SmallVectorImpl< Operation * > &combinerOps)
	Utility to match a generic reduction given a list of iteration-carried arguments, iterCarriedArgs and the position of the potential reduction argument within the list, redPos. More...
WalkContinuation	walkSlice (mlir::ValueRange rootValues, WalkCallback walkCallback)
	Walks the slice starting from the rootValues using a depth-first traversal. More...
std::optional< SmallVector< Value > >	getControlFlowPredecessors (Value value)
	Computes a vector of all control predecessors of value. More...
bool	sortTopologically (Block *block, iterator_range< Block::iterator > ops, function_ref< bool(Value, Operation *)> isOperandReady=nullptr)
	Given a block, sort a range operations in said block in topological order. More...
bool	sortTopologically (Block *block, function_ref< bool(Value, Operation *)> isOperandReady=nullptr)
	Given a block, sort its operations in topological order, excluding its terminator if it has one. More...
bool	computeTopologicalSorting (MutableArrayRef< Operation * > ops, function_ref< bool(Value, Operation *)> isOperandReady=nullptr)
	Compute a topological ordering of the given ops. More...
SetVector< Block * >	getBlocksSortedByDominance (Region &region)
	Gets a list of blocks that is sorted according to dominance. More...
SetVector< Operation * >	topologicalSort (const SetVector< Operation * > &toSort)
	Sorts all operations in toSort topologically while also considering region semantics. More...
LogicalResult	parseAsmSourceFile (const llvm::SourceMgr &sourceMgr, Block *block, const ParserConfig &config, AsmParserState *asmState=nullptr, AsmParserCodeCompleteContext *codeCompleteContext=nullptr)
	This parses the file specified by the indicated SourceMgr and appends parsed operations to the given block. More...
Attribute	parseAttribute (llvm::StringRef attrStr, MLIRContext *context, Type type={}, size_t *numRead=nullptr, bool isKnownNullTerminated=false)
	This parses a single MLIR attribute to an MLIR context if it was valid. More...
Type	parseType (llvm::StringRef typeStr, MLIRContext *context, size_t *numRead=nullptr, bool isKnownNullTerminated=false)
	This parses a single MLIR type to an MLIR context if it was valid. More...
AffineMap	parseAffineMap (llvm::StringRef str, MLIRContext *context)
	This parses a single IntegerSet/AffineMap to an MLIR context if it was valid. More...
IntegerSet	parseIntegerSet (llvm::StringRef str, MLIRContext *context)
template<typename T , typename... Ts>
static LogicalResult	readResourceHandle (DialectBytecodeReader &reader, FailureOr< T > &value, Ts &&...params)
	Helper for resource handle reading that returns LogicalResult. More...
template<typename T , typename... Ts>
auto	get (MLIRContext *context, Ts &&...params)
	Helper method that injects context only if needed, this helps unify some of the attribute construction methods. More...
bool	isBytecode (llvm::MemoryBufferRef buffer)
	Returns true if the given buffer starts with the magic bytes that signal MLIR bytecode. More...
LogicalResult	readBytecodeFile (llvm::MemoryBufferRef buffer, Block *block, const ParserConfig &config)
	Read the operations defined within the given memory buffer, containing MLIR bytecode, into the provided block. More...
LogicalResult	readBytecodeFile (const std::shared_ptr< llvm::SourceMgr > &sourceMgr, Block *block, const ParserConfig &config)
	An overload with a source manager whose main file buffer is used for parsing. More...
LogicalResult	writeBytecodeToFile (Operation *op, raw_ostream &os, const BytecodeWriterConfig &config={})
	Write the bytecode for the given operation to the provided output stream. More...
void	populateAffineToStdConversionPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to convert from the Affine dialect to the Standard dialect, in particular convert structured affine control flow into CFG branch-based control flow. More...
void	populateAffineToVectorConversionPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to convert vector-related Affine ops to the Vector dialect. More...
Value	lowerAffineLowerBound (affine::AffineForOp op, OpBuilder &builder)
	Emit code that computes the lower bound of the given affine loop using standard arithmetic operations. More...
Value	lowerAffineUpperBound (affine::AffineForOp op, OpBuilder &builder)
	Emit code that computes the upper bound of the given affine loop using standard arithmetic operations. More...
std::unique_ptr< Pass >	createLowerAffinePass ()
	Lowers affine control flow operations (ForStmt, IfStmt and AffineApplyOp) to equivalent lower-level constructs (flow of basic blocks and arithmetic primitives). More...
void	populateAMDGPUToROCDLConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns, amdgpu::Chipset chipset)
	Note: The ROCDL target does not support the LLVM bfloat type at this time and so this function will add conversions to change all bfloat uses to i16. More...
std::unique_ptr< Pass >	createConvertAMDGPUToROCDLPass ()
void	populateArithToEmitCPatterns (TypeConverter &typeConverter, RewritePatternSet &patterns)
void	populateConvertArmNeon2dToIntrPatterns (RewritePatternSet &patterns)
	Populates patterns for the lowering of Arm NEON 2D ops to intrinsics. More...
std::unique_ptr< Pass >	createConvertArmNeon2dToIntrPass ()
	Creates a pass to lower Arm NEON 2D ops to intrinsics, i.e. More...
std::unique_ptr< Pass >	createConvertArmSMEToLLVMPass (bool dumpTileLiveRanges=false)
	Create a pass to convert from the ArmSME dialect to LLVM intrinsics. More...
void	configureArmSMEToLLVMConversionLegality (ConversionTarget &target)
	Configure target to convert from the ArmSME dialect to LLVM intrinsics. More...
void	populateArmSMEToLLVMConversionPatterns (LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Populate the given list with patterns that convert from the ArmSME dialect to LLVM intrinsics. More...
void	populateArmSMEToSCFConversionPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to convert from the ArmSME dialect to SCF. More...
std::unique_ptr< Pass >	createConvertArmSMEToSCFPass ()
	Create a pass to convert a subset of ArmSME ops to SCF. More...
void	populateAsyncStructuralTypeConversionsAndLegality (TypeConverter &typeConverter, RewritePatternSet &patterns, ConversionTarget &target)
	Populates patterns for async structural type conversions. More...
std::unique_ptr< Pass >	createBufferizationToMemRefPass ()
void	populateComplexToLibmConversionPatterns (RewritePatternSet &patterns, PatternBenefit benefit)
	Populate the given list with patterns that convert from Complex to Libm calls. More...
std::unique_ptr< OperationPass< ModuleOp > >	createConvertComplexToLibmPass ()
	Create a pass to convert Complex operations to libm calls. More...
void	populateComplexToLLVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Populate the given list with patterns that convert from Complex to LLVM. More...
void	registerConvertComplexToLLVMInterface (DialectRegistry &registry)
void	populateComplexToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating Complex ops to SPIR-V ops. More...
void	populateComplexToStandardConversionPatterns (RewritePatternSet &patterns)
	Populate the given list with patterns that convert from Complex to Standard. More...
std::unique_ptr< Pass >	createConvertComplexToStandardPass ()
	Create a pass to convert Complex operations to the Standard dialect. More...
std::unique_ptr< OperationPass<> >	createConvertControlFlowToSPIRVPass ()
	Creates a pass to convert ControlFlow ops to SPIR-V ops. More...
void	populateConversionTargetFromOperation (Operation *op, ConversionTarget &target, LLVMTypeConverter &typeConverter, RewritePatternSet &patterns)
	Recursively walk the IR and collect all dialects implementing the interface, and populate the conversion patterns. More...
void	populateOpConvertToLLVMConversionPatterns (Operation *op, ConversionTarget &target, LLVMTypeConverter &typeConverter, RewritePatternSet &patterns)
	Helper function for populating LLVM conversion patterns. More...
std::unique_ptr< Pass >	createConvertToLLVMPass ()
	Create a pass that performs dialect conversion to LLVM for all dialects implementing ConvertToLLVMPatternInterface. More...
void	registerConvertToLLVMDependentDialectLoading (DialectRegistry &registry)
	Register the extension that will load dependent dialects for LLVM conversion. More...
void	populateFuncToEmitCPatterns (RewritePatternSet &patterns)
FailureOr< LLVM::LLVMFuncOp >	convertFuncOpToLLVMFuncOp (FunctionOpInterface funcOp, ConversionPatternRewriter &rewriter, const LLVMTypeConverter &converter)
	Convert input FunctionOpInterface operation to LLVMFuncOp by using the provided LLVMTypeConverter. More...
void	populateFuncToLLVMFuncOpConversionPattern (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect the default pattern to convert a FuncOp to the LLVM dialect. More...
void	populateFuncToLLVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns, const SymbolTable *symbolTable=nullptr)
	Collect the patterns to convert from the Func dialect to LLVM. More...
void	registerConvertFuncToLLVMInterface (DialectRegistry &registry)
void	populateFuncToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating Func ops to SPIR-V ops. More...
std::unique_ptr< OperationPass<> >	createConvertFuncToSPIRVPass ()
	Creates a pass to convert Func ops to SPIR-V ops. More...
spirv::StorageClass	addressSpaceToStorageClass (gpu::AddressSpace addressSpace)
void	populateGpuToLLVMConversionPatterns (LLVMTypeConverter &converter, RewritePatternSet &patterns, bool kernelBarePtrCallConv=false)
	Collect a set of patterns to convert from the GPU dialect to LLVM and populate converter for gpu types. More...
void	populateGpuMemorySpaceAttributeConversions (TypeConverter &typeConverter, const MemorySpaceMapping &mapping)
	Populates memory space attribute conversion rules for lowering gpu.address_space to integer values. More...
void	populateGpuToLLVMSPVConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
void	populateGpuMemorySpaceAttributeConversions (TypeConverter &typeConverter)
	Populates memory space attribute conversion rules for lowering gpu.address_space to integer values. More...
LLVM::LLVMStructType	convertMMAToLLVMType (gpu::MMAMatrixType type)
	Return the LLVMStructureType corresponding to the MMAMatrixType type. More...
void	configureGpuToNVVMConversionLegality (ConversionTarget &target)
	Configure target to convert from the GPU dialect to NVVM. More...
void	configureGpuToNVVMTypeConverter (LLVMTypeConverter &converter)
	Configure the LLVM type convert to convert types and address spaces from the GPU dialect to NVVM. More...
void	populateGpuToNVVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect a set of patterns to convert from the GPU dialect to NVVM. More...
void	populateGpuSubgroupReduceOpLoweringPattern (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Populate GpuSubgroupReduce pattern to NVVM. More...
void	populateGpuWMMAToNVVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect a set of patterns to convert WMMA ops from GPU dialect to NVVM. More...
void	populateGpuToROCDLConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns, gpu::amd::Runtime runtime)
	Collect a set of patterns to convert from the GPU dialect to ROCDL. More...
void	configureGpuToROCDLConversionLegality (ConversionTarget &target)
	Configure target to convert from the GPU dialect to ROCDL. More...
std::unique_ptr< OperationPass< gpu::GPUModuleOp > >	createLowerGpuOpsToROCDLOpsPass (const std::string &chipset="gfx900", unsigned indexBitwidth=kDeriveIndexBitwidthFromDataLayout, bool useBarePtrCallConv=false, gpu::amd::Runtime runtime=gpu::amd::Runtime::Unknown)
	Creates a pass that lowers GPU dialect operations to ROCDL counterparts. More...
void	populateGPUToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating GPU Ops to SPIR-V ops. More...
void	populateGpuWMMAToSPIRVCoopMatrixKHRConversionPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Collect a set of patterns to convert WMMA ops from GPU dialect to SPIRV, using the KHR Cooperative Matrix extension. More...
void	populateMMAToSPIRVCoopMatrixTypeConversion (SPIRVTypeConverter &typeConverter)
	Adds MMAMatrixType conversions to SPIR-V cooperative matrix KHR type conversion to the type converter. More...
std::unique_ptr< OperationPass< ModuleOp > >	createConvertGPUToSPIRVPass (bool mapMemorySpace=true)
	Creates a pass to convert GPU kernel ops to corresponding SPIR-V ops. More...
std::unique_ptr< OperationPass< mlir::ModuleOp > >	createConvertGpuLaunchFuncToVulkanLaunchFuncPass ()
std::unique_ptr< OperationPass< ModuleOp > >	createConvertLinalgToStandardPass ()
	Create a pass to convert Linalg operations to the Standard dialect. More...
LogicalResult	structFuncArgTypeConverter (const LLVMTypeConverter &converter, Type type, SmallVectorImpl< Type > &result)
	Callback to convert function argument types. More...
LogicalResult	barePtrFuncArgTypeConverter (const LLVMTypeConverter &converter, Type type, SmallVectorImpl< Type > &result)
	Callback to convert function argument types. More...
void	populateMathToLibmConversionPatterns (RewritePatternSet &patterns)
	Populate the given list with patterns that convert from Math to Libm calls. More...
std::unique_ptr< OperationPass< ModuleOp > >	createConvertMathToLibmPass ()
	Create a pass to convert Math operations to libm calls. More...
void	populateMathToLLVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns, bool approximateLog1p=true)
void	registerConvertMathToLLVMInterface (DialectRegistry &registry)
void	populateMathToROCDLConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Populate the given list with patterns that convert from Math to ROCDL calls. More...
void	populateMathToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating Math ops to SPIR-V ops. More...
std::unique_ptr< OperationPass<> >	createConvertMathToSPIRVPass ()
	Creates a pass to convert Math ops to SPIR-V ops. More...
void	populateMemRefToEmitCTypeConversion (TypeConverter &typeConverter)
void	populateMemRefToEmitCConversionPatterns (RewritePatternSet &patterns, const TypeConverter &converter)
void	populateFinalizeMemRefToLLVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect a set of patterns to convert memory-related operations from the MemRef dialect to the LLVM dialect. More...
void	registerConvertMemRefToLLVMInterface (DialectRegistry &registry)
void	populateMemRefToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating MemRef ops to SPIR-V ops. More...
std::unique_ptr< OperationPass<> >	createMapMemRefStorageClassPass ()
	Creates a pass to map numeric MemRef memory spaces to symbolic SPIR-V storage classes. More...
std::unique_ptr< OperationPass<> >	createConvertMemRefToSPIRVPass ()
	Creates a pass to convert MemRef ops to SPIR-V ops. More...
std::unique_ptr<::mlir::Pass >	createConvertMeshToMPIPass ()
	Lowers Mesh communication operations (updateHalo, AllGater, ...) to MPI primitives. More...
void	populateNVGPUToNVVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
void	populateNVVMToLLVMConversionPatterns (RewritePatternSet &patterns)
void	registerConvertNVVMToLLVMInterface (DialectRegistry &registry)
void	populateOpenACCToSCFConversionPatterns (RewritePatternSet &patterns)
	Collect the patterns to convert from the OpenACC dialect to OpenACC with SCF dialect. More...
std::unique_ptr< OperationPass< ModuleOp > >	createConvertOpenACCToSCFPass ()
	Create a pass to convert the OpenACC dialect into the LLVMIR dialect. More...
void	configureOpenMPToLLVMConversionLegality (ConversionTarget &target, const LLVMTypeConverter &typeConverter)
	Configure dynamic conversion legality of regionless operations from OpenMP to LLVM. More...
void	populateOpenMPToLLVMConversionPatterns (LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Populate the given list with patterns that convert from OpenMP to LLVM. More...
void	registerConvertOpenMPToLLVMInterface (DialectRegistry &registry)
	Registers the ConvertToLLVMPatternInterface interface in the OpenMP dialect. More...
std::unique_ptr< OperationPass< ModuleOp > >	createPDLToPDLInterpPass ()
	Creates and returns a pass to convert PDL ops to PDL interpreter ops. More...
std::unique_ptr< OperationPass< ModuleOp > >	createPDLToPDLInterpPass (DenseMap< Operation *, PDLPatternConfigSet * > &configMap)
	Creates and returns a pass to convert PDL ops to PDL interpreter ops. More...
std::unique_ptr< Pass >	createReconcileUnrealizedCastsPass ()
	Creates a pass that eliminates noop unrealized_conversion_cast operation sequences. More...
void	populateSCFToControlFlowConversionPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to convert SCF operations to CFG branch-based operations within the ControlFlow dialect. More...
std::unique_ptr< Pass >	createConvertSCFToCFPass ()
	Creates a pass to convert SCF operations to CFG branch-based operation in the ControlFlow dialect. More...
void	populateSCFToEmitCConversionPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to convert SCF operations to the EmitC dialect. More...
LogicalResult	convertAffineLoopNestToGPULaunch (affine::AffineForOp forOp, unsigned numBlockDims, unsigned numThreadDims)
	Convert a perfect affine loop nest with the outermost loop identified by forOp into a gpu::Launch operation. More...
void	populateParallelLoopToGPUPatterns (RewritePatternSet &patterns)
	Adds the conversion pattern from scf.parallel to gpu.launch to the provided pattern list. More...
void	configureParallelLoopToGPULegality (ConversionTarget &target)
	Configures the rewrite target such that only scf.parallel operations that are not rewritten by the provided patterns are legal. More...
void	finalizeParallelLoopToGPUConversion (Operation *op)
	Clean up after applyPartialConversion/applyFullConversion call. More...
std::unique_ptr< InterfacePass< FunctionOpInterface > >	createAffineForToGPUPass (unsigned numBlockDims, unsigned numThreadDims)
	Create a pass that converts loop nests into GPU kernels. More...
std::unique_ptr< InterfacePass< FunctionOpInterface > >	createAffineForToGPUPass ()
std::unique_ptr< Pass >	createParallelLoopToGpuPass ()
	Creates a pass that converts scf.parallel operations into a gpu.launch operation. More...
void	populateSCFToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, ScfToSPIRVContext &scfToSPIRVContext, RewritePatternSet &patterns)
	Collects a set of patterns to lower from scf.for, scf.if, and loop.terminator to CFG operations within the SPIR-V dialect. More...
std::unique_ptr< OperationPass<> >	createConvertSCFToSPIRVPass ()
	Creates a pass to convert SCF ops into SPIR-V ops. More...
void	populateShapeToStandardConversionPatterns (RewritePatternSet &patterns)
std::unique_ptr< OperationPass< ModuleOp > >	createConvertShapeToStandardPass ()
void	populateConvertShapeConstraintsConversionPatterns (RewritePatternSet &patterns)
std::unique_ptr< Pass >	createConvertShapeConstraintsPass ()
unsigned	storageClassToAddressSpace (spirv::ClientAPI clientAPI, spirv::StorageClass storageClass)
void	encodeBindAttribute (ModuleOp module)
	Encodes global variable's descriptor set and binding into its name if they both exist. More...
void	populateSPIRVToLLVMTypeConversion (LLVMTypeConverter &typeConverter, spirv::ClientAPI clientAPIForAddressSpaceMapping=spirv::ClientAPI::Unknown)
	Populates type conversions with additional SPIR-V types. More...
void	populateSPIRVToLLVMConversionPatterns (const LLVMTypeConverter &typeConverter, RewritePatternSet &patterns, spirv::ClientAPI clientAPIForAddressSpaceMapping=spirv::ClientAPI::Unknown)
	Populates the given list with patterns that convert from SPIR-V to LLVM. More...
void	populateSPIRVToLLVMFunctionConversionPatterns (const LLVMTypeConverter &typeConverter, RewritePatternSet &patterns)
	Populates the given list with patterns for function conversion from SPIR-V to LLVM. More...
void	populateSPIRVToLLVMModuleConversionPatterns (const LLVMTypeConverter &typeConverter, RewritePatternSet &patterns)
	Populates the given patterns for module conversion from SPIR-V to LLVM. More...
void	populateTensorToLinalgPatterns (RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating tensor ops to Linalg ops. More...
std::unique_ptr< OperationPass< ModuleOp > >	createConvertTensorToLinalgPass ()
	Creates a pass to convert Tensor ops to Linalg ops. More...
void	populateTensorToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, int64_t byteCountThreshold, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating tensor ops to SPIR-V ops. More...
std::unique_ptr< OperationPass<> >	createConvertTensorToSPIRVPass ()
	Creates a pass to convert Tensor ops to SPIR-V ops. More...
void	populateVectorToArmSMEPatterns (RewritePatternSet &patterns, MLIRContext &ctx)
	Collect a set of patterns to lower Vector ops to ArmSME ops that map to LLVM intrinsics. More...
std::unique_ptr< Pass >	createConvertVectorToArmSMEPass ()
	Create a pass to lower operations from the vector dialect to Arm SME. More...
void	populatePrepareVectorToMMAPatterns (RewritePatternSet &patterns, bool useNvGpu=false)
	Patterns to transform vector ops into a canonical form to convert to MMA matrix operations. More...
LogicalResult	convertVectorToMMAOps (RewriterBase &rewriter, Operation *rootOp)
	Convert vector ops to MMA matrix operations nested under rootOp. More...
LogicalResult	convertVectorToNVVMCompatibleMMASync (RewriterBase &rewriter, Operation *rootOp)
	Convert vector ops ops nested under rootOp to vector and GPU operaitons compatible with the nvvm.mma.sync lowering path. More...
std::unique_ptr< Pass >	createConvertVectorToGPUPass (bool useNvGpu=false)
	Convert from vector to GPU ops. More...
void	populateVectorToLLVMMatrixConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect a set of patterns to convert from Vector contractions to LLVM Matrix Intrinsics. More...
void	populateVectorToLLVMConversionPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns, bool reassociateFPReductions=false, bool force32BitVectorIndices=false)
	Collect a set of patterns to convert from the Vector dialect to LLVM. More...
void	populateVectorToSCFConversionPatterns (RewritePatternSet &patterns, const VectorTransferToSCFOptions &options=VectorTransferToSCFOptions())
	Collect a set of patterns to convert from the Vector dialect to SCF + func. More...
std::unique_ptr< Pass >	createConvertVectorToSCFPass (const VectorTransferToSCFOptions &options=VectorTransferToSCFOptions())
	Create a pass to convert a subset of vector ops to SCF. More...
void	populateVectorToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating Vector Ops to SPIR-V ops. More...
void	populateVectorReductionToSPIRVDotProductPatterns (RewritePatternSet &patterns)
	Appends patterns to convert vector reduction of the form: More...
std::unique_ptr< OperationPass<> >	createConvertVectorToSPIRVPass ()
	Creates a pass to convert Vector Ops to SPIR-V ops. More...
void	populateVectorToXeGPUConversionPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to convert from the vector to XeGPU ops. More...
std::unique_ptr< Pass >	createConvertVectorToXeGPUPass ()
	Create a pass to convert ops from vector to XeGPU. More...
void	setupDebuggerExecutionContextHook (tracing::ExecutionContext &executionContext)
void	populateAMXLegalizeForLLVMExportPatterns (LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect a set of patterns to lower AMX ops to ops that map to LLVM intrinsics. More...
void	configureAMXLegalizeForExportTarget (LLVMConversionTarget &target)
	Configure the target to support lowering AMX ops to ops that map to LLVM intrinsics. More...
void	registerConvertAMXToLLVMInterface (DialectRegistry &registry)
	Register LLVM conversion interface for AMX dialect. More...
std::optional< SmallVector< OpFoldResult > >	inferExpandShapeOutputShape (OpBuilder &b, Location loc, ShapedType expandedType, ArrayRef< ReassociationIndices > reassociation, ArrayRef< OpFoldResult > inputShape)
	Infer the output shape for a {memref|tensor}.expand_shape when it is possible to do so. More...
detail::op_matcher< arith::ConstantIndexOp >	matchConstantIndex ()
	Matches a ConstantIndexOp. More...
llvm::SmallBitVector	getPositionsOfShapeOne (unsigned rank, ArrayRef< int64_t > shape)
Value	getValueOrCreateConstantIntOp (OpBuilder &b, Location loc, OpFoldResult ofr)
	Converts an OpFoldResult to a Value. More...
Value	getValueOrCreateConstantIndexOp (OpBuilder &b, Location loc, OpFoldResult ofr)
	Converts an OpFoldResult to a Value. More...
SmallVector< Value >	getValueOrCreateConstantIndexOp (OpBuilder &b, Location loc, ArrayRef< OpFoldResult > valueOrAttrVec)
	Similar to the other overload, but converts multiple OpFoldResults into Values. More...
Value	getValueOrCreateCastToIndexLike (OpBuilder &b, Location loc, Type targetType, Value value)
	Create a cast from an index-like value (index or integer) to another index-like value. More...
Value	convertScalarToDtype (OpBuilder &b, Location loc, Value operand, Type toType, bool isUnsignedCast)
	Converts a scalar value operand to type toType. More...
Value	createScalarOrSplatConstant (OpBuilder &builder, Location loc, Type type, const APInt &value)
	Create a constant of type type at location loc whose value is value (an APInt or APFloat whose type must match the element type of type). More...
Value	createScalarOrSplatConstant (OpBuilder &builder, Location loc, Type type, int64_t value)
Value	createScalarOrSplatConstant (OpBuilder &builder, Location loc, Type type, const APFloat &value)
Type	getType (OpFoldResult ofr)
	Returns the int type of the integer in ofr. More...
void	populateArmSVELegalizeForLLVMExportPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect a set of patterns to lower ArmSVE ops to ops that map to LLVM intrinsics. More...
void	configureArmSVELegalizeForExportTarget (LLVMConversionTarget &target)
	Configure the target to support lowering ArmSVE ops to ops that map to LLVM intrinsics. More...
std::unique_ptr< Pass >	createAsyncParallelForPass ()
std::unique_ptr< Pass >	createAsyncParallelForPass (bool asyncDispatch, int32_t numWorkerThreads, int32_t minTaskSize)
void	populateAsyncFuncToAsyncRuntimeConversionPatterns (RewritePatternSet &patterns, ConversionTarget &target)
std::unique_ptr< OperationPass< ModuleOp > >	createAsyncFuncToAsyncRuntimePass ()
std::unique_ptr< OperationPass< ModuleOp > >	createAsyncToAsyncRuntimePass ()
std::unique_ptr< Pass >	createAsyncRuntimeRefCountingPass ()
std::unique_ptr< Pass >	createAsyncRuntimeRefCountingOptPass ()
std::unique_ptr< Pass >	createAsyncRuntimePolicyBasedRefCountingPass ()
template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref< std::optional<ElementValueT>(ElementValueT, ElementValueT)>>
Attribute	constFoldBinaryOpConditional (ArrayRef< Attribute > operands, Type resultType, CalculationT &&calculate)
	Performs constant folding calculate with element-wise behavior on the two attributes in operands and returns the result if possible. More...
template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref< std::optional<ElementValueT>(ElementValueT, ElementValueT)>>
Attribute	constFoldBinaryOpConditional (ArrayRef< Attribute > operands, CalculationT &&calculate)
	Performs constant folding calculate with element-wise behavior on the two attributes in operands and returns the result if possible. More...
template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = void, class CalculationT = function_ref<ElementValueT(ElementValueT, ElementValueT)>>
Attribute	constFoldBinaryOp (ArrayRef< Attribute > operands, Type resultType, CalculationT &&calculate)
template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<ElementValueT(ElementValueT, ElementValueT)>>
Attribute	constFoldBinaryOp (ArrayRef< Attribute > operands, CalculationT &&calculate)
template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<std::optional<ElementValueT>(ElementValueT)>>
Attribute	constFoldUnaryOpConditional (ArrayRef< Attribute > operands, CalculationT &&calculate)
	Performs constant folding calculate with element-wise behavior on the one attributes in operands and returns the result if possible. More...
template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<ElementValueT(ElementValueT)>>
Attribute	constFoldUnaryOp (ArrayRef< Attribute > operands, CalculationT &&calculate)
template<class AttrElementT , class TargetAttrElementT , class ElementValueT = typename AttrElementT::ValueType, class TargetElementValueT = typename TargetAttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<TargetElementValueT(ElementValueT, bool)>>
Attribute	constFoldCastOp (ArrayRef< Attribute > operands, Type resType, CalculationT &&calculate)
void	populateEmitCSizeTTypeConversions (TypeConverter &converter)
void	populateCallOpTypeConversionPattern (RewritePatternSet &patterns, const TypeConverter &converter)
	Add a pattern to the given pattern list to convert the operand and result types of a CallOp with the given type converter. More...
void	populateBranchOpInterfaceTypeConversionPattern (RewritePatternSet &patterns, const TypeConverter &converter, function_ref< bool(BranchOpInterface branchOp, int idx)> shouldConvertBranchOperand=nullptr)
	Add a pattern to the given pattern list to rewrite branch operations to use operands that have been legalized by the conversion framework. More...
bool	isLegalForBranchOpInterfaceTypeConversionPattern (Operation *op, const TypeConverter &converter)
	Return true if op is a BranchOpInterface op whose operands are all legal according to converter. More...
void	populateReturnOpTypeConversionPattern (RewritePatternSet &patterns, const TypeConverter &converter)
	Add a pattern to the given pattern list to rewrite return ops to use operands that have been legalized by the conversion framework. More...
bool	isLegalForReturnOpTypeConversionPattern (Operation *op, const TypeConverter &converter, bool returnOpAlwaysLegal=false)
	For ReturnLike ops (except return), return True. More...
bool	isNotBranchOpInterfaceOrReturnLikeOp (Operation *op)
	Return true if op is neither BranchOpInterface nor ReturnLike. More...
void	populateFuncTypeConversionPatterns (const TypeConverter &typeConverter, RewritePatternSet &patterns)
void	promoteToWorkgroupMemory (gpu::GPUFuncOp op, unsigned arg)
	Promotes a function argument to workgroup memory in the given function. More...
std::unique_ptr< Pass >	createGpuLauchSinkIndexComputationsPass ()
	Pass that moves ops which are likely an index computation into gpu.launch body. More...
std::unique_ptr< OperationPass< ModuleOp > >	createGpuKernelOutliningPass (StringRef dataLayoutStr=StringRef())
	Replaces gpu.launch with gpu.launch_func by moving the region into a separate kernel function. More...
std::unique_ptr< OperationPass< func::FuncOp > >	createGpuAsyncRegionPass ()
	Rewrites a function region so that GPU ops execute asynchronously. More...
std::unique_ptr< OperationPass< func::FuncOp > >	createGpuMapParallelLoopsPass ()
	Maps the parallel loops found in the given function to workgroups. More...
void	populateGpuGlobalIdPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to rewrite GlobalIdOp op within the GPU dialect. More...
void	populateGpuShufflePatterns (RewritePatternSet &patterns)
	Collect a set of patterns to rewrite shuffle ops within the GPU dialect. More...
void	populateGpuAllReducePatterns (RewritePatternSet &patterns)
	Collect a set of patterns to rewrite all-reduce ops within the GPU dialect. More...
void	populateGpuBreakDownSubgroupReducePatterns (RewritePatternSet &patterns, unsigned maxShuffleBitwidth=32, PatternBenefit benefit=1)
	Collect a set of patterns to break down subgroup_reduce ops into smaller ones supported by the target of size <= maxShuffleBitwidth, where size is the subgroup_reduce value bitwidth. More...
void	populateGpuLowerSubgroupReduceToShufflePatterns (RewritePatternSet &patterns, unsigned subgroupSize, unsigned shuffleBitwidth=32, PatternBenefit benefit=1)
	Collect a set of patterns to lower gpu.subgroup_reduce into gpu.shuffle ops over shuffleBitwidth scalar types. More...
void	populateGpuLowerClusteredSubgroupReduceToShufflePatterns (RewritePatternSet &patterns, unsigned subgroupSize, unsigned shuffleBitwidth=32, PatternBenefit benefit=1)
	Disjoint counterpart of populateGpuLowerSubgroupReduceToShufflePatterns that only matches gpu.subgroup_reduce ops with a cluster_size. More...
void	populateGpuRewritePatterns (RewritePatternSet &patterns)
	Collect all patterns to rewrite ops within the GPU dialect. More...
void	populateGpuDecomposeMemrefsPatterns (RewritePatternSet &patterns)
	Collect a set of patterns to decompose memrefs ops. More...
std::unique_ptr< Pass >	createGpuDecomposeMemrefsPass ()
	Pass decomposes memref ops inside gpu.launch body. More...
void	populateGpuEliminateBarriersPatterns (RewritePatternSet &patterns)
	Erase barriers that do not enforce conflicting memory side effects. More...
gpu::GPUFuncOp	outlineKernelFunc (gpu::LaunchOp launchOp, StringRef kernelFnName, SmallVectorImpl< Value > &operands)
	Get a gpu.func created from outlining the region of a gpu.launch op with the given kernelFnName. More...
LogicalResult	sinkOperationsIntoLaunchOp (gpu::LaunchOp launchOp, llvm::function_ref< bool(Operation *)> isSinkingBeneficiary)
	Sink operations into the launchOp to reduce the number of values that are used within the region of the operation, but defined outside of the region. More...
ParseResult	parseSemiFunctionType (OpAsmParser &parser, Type &argumentType, Type &resultType, bool resultOptional=true)
	Parses a single non-function type or a function type with at least one argument. More...
ParseResult	parseSemiFunctionType (OpAsmParser &parser, Type &argumentType, SmallVectorImpl< Type > &resultTypes)
void	printSemiFunctionType (OpAsmPrinter &printer, Operation *op, Type argumentType, TypeRange resultType)
	Prints argument and result types in a syntax similar to that of FunctionType but allowing and requiring one to omit the parens around the argument type in absence of result types, and without the trailing -> (). More...
void	printSemiFunctionType (OpAsmPrinter &printer, Operation *op, Type argumentType, Type resultType, bool resultOptional=true)
void	populateExpandCtlzPattern (RewritePatternSet &patterns)
void	populateExpandTanPattern (RewritePatternSet &patterns)
void	populateExpandSinhPattern (RewritePatternSet &patterns)
void	populateExpandCoshPattern (RewritePatternSet &patterns)
void	populateExpandTanhPattern (RewritePatternSet &patterns)
void	populateExpandAsinhPattern (RewritePatternSet &patterns)
void	populateExpandAcoshPattern (RewritePatternSet &patterns)
void	populateExpandAtanhPattern (RewritePatternSet &patterns)
void	populateExpandFmaFPattern (RewritePatternSet &patterns)
void	populateExpandFloorFPattern (RewritePatternSet &patterns)
void	populateExpandCeilFPattern (RewritePatternSet &patterns)
void	populateExpandExp2FPattern (RewritePatternSet &patterns)
void	populateExpandPowFPattern (RewritePatternSet &patterns)
void	populateExpandFPowIPattern (RewritePatternSet &patterns)
void	populateExpandRoundFPattern (RewritePatternSet &patterns)
void	populateExpandRoundEvenPattern (RewritePatternSet &patterns)
void	populateExpandRsqrtPattern (RewritePatternSet &patterns)
void	populateMathAlgebraicSimplificationPatterns (RewritePatternSet &patterns)
void	populatePolynomialApproximateTanhPattern (RewritePatternSet &patterns)
void	populatePolynomialApproximateErfPattern (RewritePatternSet &patterns)
void	populateMathPolynomialApproximationPatterns (RewritePatternSet &patterns, const MathPolynomialApproximationOptions &options={})
void	populateUpliftToFMAPatterns (RewritePatternSet &patterns)
raw_ostream &	operator<< (raw_ostream &os, const Range &range)
SmallVector< Range, 8 >	getOrCreateRanges (OffsetSizeAndStrideOpInterface op, OpBuilder &b, Location loc)
	Return the list of Range (i.e. More...
std::unique_ptr< Pass >	createForLoopSpecializationPass ()
	Creates a pass that specializes for loop for unrolling and vectorization. More...
std::unique_ptr< Pass >	createForLoopPeelingPass ()
	Creates a pass that peels for loops at their upper bounds for better vectorization. More...
std::unique_ptr< Pass >	createSCFForLoopCanonicalizationPass ()
	Creates a pass that canonicalizes affine.min and affine.max operations inside of scf.for loops with known lower and upper bounds. More...
std::unique_ptr< Pass >	createTestSCFParallelLoopCollapsingPass ()
	Creates a pass that transforms a single ParallelLoop over N induction variables into another ParallelLoop over less than N induction variables. More...
std::unique_ptr< Pass >	createParallelLoopFusionPass ()
	Creates a loop fusion pass which fuses parallel loops. More...
std::unique_ptr< Pass >	createParallelLoopSpecializationPass ()
	Creates a pass that specializes parallel loop for unrolling and vectorization. More...
std::unique_ptr< Pass >	createParallelLoopTilingPass (llvm::ArrayRef< int64_t > tileSize={}, bool noMinMaxBounds=false)
	Creates a pass which tiles innermost parallel loops. More...
std::unique_ptr< Pass >	createForLoopRangeFoldingPass ()
	Creates a pass which folds arith ops on induction variable into loop range. More...
std::unique_ptr< Pass >	createForallToForLoopPass ()
	Creates a pass that converts SCF forall loops to SCF for loops. More...
std::unique_ptr< Pass >	createForallToParallelLoopPass ()
	Creates a pass that converts SCF forall loops to SCF parallel loops. More...
std::unique_ptr< Pass >	createForToWhileLoopPass ()
SmallVector< scf::ForOp >	replaceLoopNestWithNewYields (RewriterBase &rewriter, MutableArrayRef< scf::ForOp > loopNest, ValueRange newIterOperands, const NewYieldValuesFn &newYieldValuesFn, bool replaceIterOperandsUsesInLoop=true)
	Update a perfectly nested loop nest to yield new values from the innermost loop and propagating it up through the loop nest. More...
FailureOr< func::FuncOp >	outlineSingleBlockRegion (RewriterBase &rewriter, Location loc, Region &region, StringRef funcName, func::CallOp *callOp=nullptr)
	Outline a region with a single block into a new FuncOp. More...
LogicalResult	outlineIfOp (RewriterBase &b, scf::IfOp ifOp, func::FuncOp *thenFn, StringRef thenFnName, func::FuncOp *elseFn, StringRef elseFnName)
	Outline the then and/or else regions of ifOp as follows: More...
bool	getInnermostParallelLoops (Operation *rootOp, SmallVectorImpl< scf::ParallelOp > &result)
	Get a list of innermost parallel loops contained in rootOp. More...
std::optional< std::pair< AffineExpr, AffineExpr > >	getSCFMinMaxExpr (Value value, SmallVectorImpl< Value > &dims, SmallVectorImpl< Value > &symbols, llvm::function_ref< bool(Operation *)> loopFilter=nullptr)
	Return the min/max expressions for value if it is an induction variable from scf.for or scf.parallel loop. More...
LogicalResult	coalesceLoops (MutableArrayRef< scf::ForOp > loops)
	Replace a perfect nest of "for" loops with a single linearized loop. More...
LogicalResult	coalesceLoops (RewriterBase &rewriter, MutableArrayRef< scf::ForOp >)
LogicalResult	coalescePerfectlyNestedSCFForLoops (scf::ForOp op)
	Walk an affine.for to find a band to coalesce. More...
void	collapseParallelLoops (RewriterBase &rewriter, scf::ParallelOp loops, ArrayRef< std::vector< unsigned >> combinedDimensions)
	Take the ParallelLoop and for each set of dimension indices, combine them into a single dimension. More...
FailureOr< UnrolledLoopInfo >	loopUnrollByFactor (scf::ForOp forOp, uint64_t unrollFactor, function_ref< void(unsigned, Operation *, OpBuilder)> annotateFn=nullptr)
	Unrolls this for operation by the specified unroll factor. More...
LogicalResult	loopUnrollJamByFactor (scf::ForOp forOp, uint64_t unrollFactor)
	Unrolls and jams this scf.for operation by the specified unroll factor. More...
Range	emitNormalizedLoopBounds (RewriterBase &rewriter, Location loc, OpFoldResult lb, OpFoldResult ub, OpFoldResult step)
	Materialize bounds and step of a zero-based and unit-step loop derived by normalizing the specified bounds and step. More...
void	denormalizeInductionVariable (RewriterBase &rewriter, Location loc, Value normalizedIv, OpFoldResult origLb, OpFoldResult origStep)
	Get back the original induction variable values after loop normalization. More...
TileLoops	extractFixedOuterLoops (scf::ForOp rootFOrOp, ArrayRef< int64_t > sizes)
SmallVector< Loops, 8 >	tile (ArrayRef< scf::ForOp > forOps, ArrayRef< Value > sizes, ArrayRef< scf::ForOp > targets)
	Performs tiling fo imperfectly nested loops (with interchange) by strip-mining the forOps by sizes and sinking them, in their order of occurrence in forOps, under each of the targets. More...
Loops	tile (ArrayRef< scf::ForOp > forOps, ArrayRef< Value > sizes, scf::ForOp target)
	Performs tiling (with interchange) by strip-mining the forOps by sizes and sinking them, in their order of occurrence in forOps, under target. More...
Loops	tilePerfectlyNested (scf::ForOp rootForOp, ArrayRef< Value > sizes)
	Tile a nest of scf::ForOp loops rooted at rootForOp with the given (parametric) sizes. More...
void	getPerfectlyNestedLoops (SmallVectorImpl< scf::ForOp > &nestedLoops, scf::ForOp root)
	Get perfectly nested sequence of loops starting at root of loop nest (the first op being another AffineFor, and the second op - a terminator). More...
scf::ForallOp	fuseIndependentSiblingForallLoops (scf::ForallOp target, scf::ForallOp source, RewriterBase &rewriter)
	Given two scf.forall loops, target and source, fuses target into source. More...
scf::ForOp	fuseIndependentSiblingForLoops (scf::ForOp target, scf::ForOp source, RewriterBase &rewriter)
	Given two scf.for loops, target and source, fuses target into source. More...
FailureOr< scf::ForallOp >	normalizeForallOp (RewriterBase &rewriter, scf::ForallOp forallOp)
	Normalize an scf.forall operation. More...
std::unique_ptr< Pass >	createShapeToShapeLowering ()
	Creates an instance of the ShapeToShapeLowering pass that legalizes Shape dialect to be convertible to Arith. More...
void	populateShapeRewritePatterns (RewritePatternSet &patterns)
	Collects a set of patterns to rewrite ops within the Shape dialect. More...
void	populateRemoveShapeConstraintsPatterns (RewritePatternSet &patterns)
std::unique_ptr< OperationPass< func::FuncOp > >	createRemoveShapeConstraintsPass ()
std::unique_ptr< OperationPass< ModuleOp > >	createOutlineShapeComputationPass ()
	Outline the shape computation part by adding shape.func and populate conrresponding mapping infomation into ShapeMappingAnalysis. More...
void	populateSparseAssembler (RewritePatternSet &patterns, bool directOut)
std::unique_ptr< Pass >	createSparseAssembler ()
std::unique_ptr< Pass >	createSparseAssembler (bool directOut)
void	populateSparseReinterpretMap (RewritePatternSet &patterns, ReinterpretMapScope scope)
std::unique_ptr< Pass >	createSparseReinterpretMapPass ()
std::unique_ptr< Pass >	createSparseReinterpretMapPass (ReinterpretMapScope scope)
void	populatePreSparsificationRewriting (RewritePatternSet &patterns)
std::unique_ptr< Pass >	createPreSparsificationRewritePass ()
void	populateSparsificationPatterns (RewritePatternSet &patterns, const SparsificationOptions &options=SparsificationOptions())
	Sets up sparsification rewriting rules with the given options. More...
std::unique_ptr< Pass >	createSparsificationPass ()
std::unique_ptr< Pass >	createSparsificationPass (const SparsificationOptions &options)
void	populateStageSparseOperationsPatterns (RewritePatternSet &patterns)
	Sets up StageSparseOperation rewriting rules. More...
std::unique_ptr< Pass >	createStageSparseOperationsPass ()
void	populateLowerSparseOpsToForeachPatterns (RewritePatternSet &patterns, bool enableRT, bool enableConvert)
std::unique_ptr< Pass >	createLowerSparseOpsToForeachPass ()
std::unique_ptr< Pass >	createLowerSparseOpsToForeachPass (bool enableRT, bool enableConvert)
void	populateLowerForeachToSCFPatterns (RewritePatternSet &patterns)
std::unique_ptr< Pass >	createLowerForeachToSCFPass ()
void	populateLowerSparseIterationToSCFPatterns (const TypeConverter &converter, RewritePatternSet &patterns)
std::unique_ptr< Pass >	createLowerSparseIterationToSCFPass ()
void	populateSparseTensorConversionPatterns (const TypeConverter &typeConverter, RewritePatternSet &patterns)
	Sets up sparse tensor conversion rules. More...
std::unique_ptr< Pass >	createSparseTensorConversionPass ()
void	populateSparseTensorCodegenPatterns (const TypeConverter &typeConverter, RewritePatternSet &patterns, bool createSparseDeallocs, bool enableBufferInitialization)
	Sets up sparse tensor codegen rules. More...
std::unique_ptr< Pass >	createSparseTensorCodegenPass ()
std::unique_ptr< Pass >	createSparseTensorCodegenPass (bool createSparseDeallocs, bool enableBufferInitialization)
void	populateSparseBufferRewriting (RewritePatternSet &patterns, bool enableBufferInitialization)
std::unique_ptr< Pass >	createSparseBufferRewritePass ()
std::unique_ptr< Pass >	createSparseBufferRewritePass (bool enableBufferInitialization)
void	populateSparseVectorizationPatterns (RewritePatternSet &patterns, unsigned vectorLength, bool enableVLAVectorization, bool enableSIMDIndex32)
	Populates the given patterns list with vectorization rules. More...
std::unique_ptr< Pass >	createSparseVectorizationPass ()
std::unique_ptr< Pass >	createSparseVectorizationPass (unsigned vectorLength, bool enableVLAVectorization, bool enableSIMDIndex32)
void	populateSparseGPUCodegenPatterns (RewritePatternSet &patterns, unsigned numThreads)
void	populateSparseGPULibgenPatterns (RewritePatternSet &patterns, bool enableRT)
std::unique_ptr< Pass >	createSparseGPUCodegenPass ()
std::unique_ptr< Pass >	createSparseGPUCodegenPass (unsigned numThreads, bool enableRT)
void	populateStorageSpecifierToLLVMPatterns (const TypeConverter &converter, RewritePatternSet &patterns)
std::unique_ptr< Pass >	createStorageSpecifierToLLVMPass ()
bufferization::OneShotBufferizationOptions	getBufferizationOptionsForSparsification (bool analysisOnly)
std::unique_ptr< Pass >	createSparsificationAndBufferizationPass ()
std::unique_ptr< Pass >	createSparsificationAndBufferizationPass (const bufferization::OneShotBufferizationOptions &bufferizationOptions, const SparsificationOptions &sparsificationOptions, bool createSparseDeallocs, bool enableRuntimeLibrary, bool enableBufferInitialization, unsigned vectorLength, bool enableVLAVectorization, bool enableSIMDIndex32, bool enableGPULibgen, SparseEmitStrategy emitStrategy, SparseParallelizationStrategy parallelizationStrategy)
std::unique_ptr< Pass >	createSparseSpaceCollapsePass ()
void	populateBuiltinFuncToSPIRVPatterns (const SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns)
	Appends to a pattern list additional patterns for translating the builtin func op to the SPIR-V dialect. More...
void	populateFuncOpVectorRewritePatterns (RewritePatternSet &patterns)
void	populateReturnOpVectorRewritePatterns (RewritePatternSet &patterns)
DiagnosedDefiniteFailure	emitDefiniteFailure (Location loc, const Twine &message)
	Emits a definite failure with the given message. More...
DiagnosedDefiniteFailure	emitDefiniteFailure (Operation *op, const Twine &message={})
DiagnosedSilenceableFailure	emitSilenceableFailure (Location loc, const Twine &message={})
	Emits a silenceable failure with the given message. More...
DiagnosedSilenceableFailure	emitSilenceableFailure (Operation *op, const Twine &message={})
SmallVector< int64_t >	computeSuffixProduct (ArrayRef< int64_t > sizes)
	Given a set of sizes, return the suffix product. More...
SmallVector< int64_t >	computeStrides (ArrayRef< int64_t > sizes)
SmallVector< int64_t >	computeElementwiseMul (ArrayRef< int64_t > v1, ArrayRef< int64_t > v2)
	Return a vector containing llvm::zip_equal(v1, v2) multiplied elementwise. More...
int64_t	computeSum (ArrayRef< int64_t > basis)
	Self-explicit. More...
int64_t	computeProduct (ArrayRef< int64_t > basis)
	Self-explicit. More...
int64_t	computeMaxLinearIndex (ArrayRef< int64_t > basis)
	Return the number of elements of basis (i.e. More...
int64_t	linearize (ArrayRef< int64_t > offsets, ArrayRef< int64_t > basis)
	Return the linearized index of 'offsets' w.r.t. More...
SmallVector< int64_t >	delinearize (int64_t linearIndex, ArrayRef< int64_t > strides)
	Given the strides together with a linear index in the dimension space, return the vector-space offsets in each dimension for a de-linearized index. More...
std::optional< SmallVector< int64_t > >	computeShapeRatio (ArrayRef< int64_t > shape, ArrayRef< int64_t > subShape)
	Return the multi-dimensional integral ratio of subShape to the trailing dimensions of shape. More...
SmallVector< AffineExpr >	computeSuffixProduct (ArrayRef< AffineExpr > sizes)
	Given a set of sizes, return the suffix product. More...
SmallVector< AffineExpr >	computeStrides (ArrayRef< AffineExpr > sizes)
SmallVector< AffineExpr >	computeElementwiseMul (ArrayRef< AffineExpr > v1, ArrayRef< AffineExpr > v2)
	Return a vector containing llvm::zip_equal(v1, v2) multiplied elementwise. More...
AffineExpr	computeSum (MLIRContext *ctx, ArrayRef< AffineExpr > basis)
	Self-explicit. More...
AffineExpr	computeProduct (MLIRContext *ctx, ArrayRef< AffineExpr > basis)
	Self-explicit. More...
AffineExpr	computeMaxLinearIndex (MLIRContext *ctx, ArrayRef< AffineExpr > basis)
	Return the number of elements of basis (i.e. More...
AffineExpr	linearize (MLIRContext *ctx, ArrayRef< AffineExpr > offsets, ArrayRef< AffineExpr > basis)
	Return the linearized index of 'offsets' w.r.t. More...
AffineExpr	linearize (MLIRContext *ctx, ArrayRef< AffineExpr > offsets, ArrayRef< int64_t > basis)
SmallVector< AffineExpr >	delinearize (AffineExpr linearIndex, ArrayRef< AffineExpr > strides)
	Given the strides together with a linear index in the dimension space, return the vector-space offsets in each dimension for a de-linearized index. More...
SmallVector< AffineExpr >	delinearize (AffineExpr linearIndex, ArrayRef< int64_t > strides)
template<typename T >
SmallVector< T >	applyPermutation (ArrayRef< T > input, ArrayRef< int64_t > permutation)
template<typename T >
SmallVector< T >	applyPermutation (const SmallVectorImpl< T > &input, ArrayRef< int64_t > permutation)
template<typename T , unsigned N>
void	applyPermutationToVector (SmallVector< T, N > &inVec, ArrayRef< int64_t > permutation)
	Apply the permutation defined by permutation to inVec. More...
SmallVector< int64_t >	invertPermutationVector (ArrayRef< int64_t > permutation)
	Helper method to apply to inverse a permutation. More...
bool	isIdentityPermutation (ArrayRef< int64_t > permutation)
	Returns true if permutation is an identity permutation. More...
bool	isPermutationVector (ArrayRef< int64_t > interchange)
	Method to check if an interchange vector is a permutation. More...
SmallVector< int64_t >	computePermutationVector (int64_t permSize, ArrayRef< int64_t > positions, ArrayRef< int64_t > desiredPositions)
	Return a permutation vector of size permSize that would result in moving positions into desiredPositions. More...
SmallVector< int64_t >	dropDims (ArrayRef< int64_t > inputPerm, ArrayRef< int64_t > dropPositions)
	Returns a permutation vector that drop the input dims in dropPositions from inputPerm. More...
SmallVector< int64_t >	getI64SubArray (ArrayAttr arrayAttr, unsigned dropFront=0, unsigned dropBack=0)
	Helper to return a subset of arrayAttr as a vector of int64_t. More...
std::pair< AffineExpr, SmallVector< OpFoldResult > >	computeLinearIndex (OpFoldResult sourceOffset, ArrayRef< OpFoldResult > strides, ArrayRef< OpFoldResult > indices)
	Compute linear index from provided strides and indices, assuming strided layout. More...
std::pair< AffineExpr, SmallVector< OpFoldResult > >	computeLinearIndex (OpFoldResult sourceOffset, ArrayRef< int64_t > strides, ArrayRef< Value > indices)
constexpr StringRef	getReassociationAttrName ()
	Attribute name for the ArrayAttr which encodes reassociation indices. More...
std::optional< SmallVector< ReassociationIndices > >	composeReassociationIndices (ArrayRef< ReassociationIndices > producerReassociations, ArrayRef< ReassociationIndices > consumerReassociations, MLIRContext *context)
	Compose reassociation maps that are used in pair of reshape ops where one is a producer and other is the consumer. More...
SmallVector< SmallVector< AffineExpr, 2 >, 2 >	convertReassociationIndicesToExprs (MLIRContext *context, ArrayRef< ReassociationIndices > reassociationIndices)
	Convert reassociation indices to affine expressions. More...
SmallVector< AffineMap, 4 >	getSymbolLessAffineMaps (ArrayRef< ReassociationExprs > reassociation)
	Constructs affine maps out of Array<Array<AffineExpr>>. More...
ArrayAttr	getReassociationIndicesAttribute (OpBuilder &b, ArrayRef< ReassociationIndices > reassociation)
	Wraps a list of reassociations in an ArrayAttr. More...
SmallVector< ReassociationIndices, 2 >	convertReassociationMapsToIndices (ArrayRef< ReassociationExprs > reassociationExprs)
	Convert Array<Array<AffineExpr>> to Array<Array<int64_t>>. More...
std::optional< SmallVector< ReassociationIndices > >	getReassociationIndicesForReshape (ShapedType sourceType, ShapedType targetType)
	Return the reassociations maps to use to reshape given the source type and the target type when possible. More...
std::optional< SmallVector< ReassociationIndices > >	getReassociationIndicesForCollapse (ArrayRef< int64_t > sourceShape, ArrayRef< int64_t > targetShape)
	Returns the reassociation maps to collapse sourceShape to targetShape if possible. More...
bool	isReassociationValid (ArrayRef< AffineMap > reassociation, int *invalidIndex=nullptr)
	Return true if the reassociation specification is valid, false otherwise. More...
template<typename ReshapeOpTy , typename InverseReshapeOpTy >
static OpFoldResult	foldReshapeOp (ReshapeOpTy reshapeOp, ArrayRef< Attribute > operands)
template<typename Op , typename T >
static LogicalResult	verifyReshapeLikeTypes (Op op, T expandedType, T collapsedType, bool isExpansion)
	Common verifier for reshape-like types. More...
LogicalResult	reshapeLikeShapesAreCompatible (function_ref< LogicalResult(const Twine &)> emitError, ArrayRef< int64_t > collapsedShape, ArrayRef< int64_t > expandedShape, ArrayRef< ReassociationIndices > reassociationMaps, bool isExpandingReshape)
	Verify that shapes of the reshaped types using following rule: if a dimension in the collapsed type is static, then the corresponding dimensions in the expanded shape should be a) static b) the product should be same as the collaped shape. More...
bool	hasNonIdentityLayout (Type type)
	Returns true iff the type is a MemRefType and has a non-identity layout. More...
llvm::SmallBitVector	getSlicedDimensions (ArrayRef< OpFoldResult > sliceInputShape, ArrayRef< Range > sliceParams)
	The input parameters offsets, sizes, strides specify a rectangular non rank-reducing slice of the collapse_shape output. More...
llvm::SmallBitVector	getLinearizedDimensions (ArrayRef< ReassociationIndices > reassociationIndices)
	Determine which dimensions are linearized by a tensor.collapse_shape op by inspecting its reassociation indices. More...
bool	isZeroIndex (OpFoldResult v)
	Return true if v is an IntegerAttr with value 0 of a ConstantIndexOp with attribute with value 0. More...
std::tuple< SmallVector< OpFoldResult >, SmallVector< OpFoldResult >, SmallVector< OpFoldResult > >	getOffsetsSizesAndStrides (ArrayRef< Range > ranges)
	Given an array of Range values, return a tuple of (offset vector, sizes vector, and strides vector) formed by separating out the individual elements of each range. More...
void	dispatchIndexOpFoldResult (OpFoldResult ofr, SmallVectorImpl< Value > &dynamicVec, SmallVectorImpl< int64_t > &staticVec)
	Helper function to dispatch an OpFoldResult into staticVec if: a) it is an IntegerAttr In other cases, the OpFoldResult is dispached to the dynamicVec. More...
void	dispatchIndexOpFoldResults (ArrayRef< OpFoldResult > ofrs, SmallVectorImpl< Value > &dynamicVec, SmallVectorImpl< int64_t > &staticVec)
	Helper function to dispatch multiple OpFoldResults according to the behavior of dispatchIndexOpFoldResult(OpFoldResult ofr for a single OpFoldResult. More...
std::pair< int64_t, OpFoldResult >	getSimplifiedOfrAndStaticSizePair (OpFoldResult ofr, Builder &b)
	Given OpFoldResult representing dim size value (*), generates a pair of sizes: More...
template<typename IntTy >
SmallVector< IntTy >	extractFromIntegerArrayAttr (Attribute attr)
	Extract integer values from the assumed ArrayAttr of IntegerAttr. More...
OpFoldResult	getAsOpFoldResult (Value val)
	Given a value, try to extract a constant Attribute. More...
SmallVector< OpFoldResult >	getAsOpFoldResult (ValueRange values)
	Given an array of values, try to extract a constant Attribute from each value. More...
SmallVector< OpFoldResult >	getAsOpFoldResult (ArrayAttr arrayAttr)
	Convert arrayAttr to a vector of OpFoldResult. More...
OpFoldResult	getAsIndexOpFoldResult (MLIRContext *ctx, int64_t val)
	Convert int64_t to integer attributes of index type and return them as OpFoldResult. More...
SmallVector< OpFoldResult >	getAsIndexOpFoldResult (MLIRContext *ctx, ArrayRef< int64_t > values)
std::optional< int64_t >	getConstantIntValue (OpFoldResult ofr)
	If ofr is a constant integer or an IntegerAttr, return the integer. More...
std::optional< SmallVector< int64_t > >	getConstantIntValues (ArrayRef< OpFoldResult > ofrs)
	If all ofrs are constant integers or IntegerAttrs, return the integers. More...
bool	isConstantIntValue (OpFoldResult ofr, int64_t value)
	Return true if ofr is constant integer equal to value. More...
bool	areAllConstantIntValue (ArrayRef< OpFoldResult > ofrs, int64_t value)
	Return true if all of ofrs are constant integers equal to value. More...
bool	areConstantIntValues (ArrayRef< OpFoldResult > ofrs, ArrayRef< int64_t > values)
	Return true if all of ofrs are constant integers equal to the corresponding value in values. More...
bool	isEqualConstantIntOrValue (OpFoldResult ofr1, OpFoldResult ofr2)
	Return true if ofr1 and ofr2 are the same integer constant attribute values or the same SSA value. More...
bool	isEqualConstantIntOrValueArray (ArrayRef< OpFoldResult > ofrs1, ArrayRef< OpFoldResult > ofrs2)
SmallVector< OpFoldResult >	getMixedValues (ArrayRef< int64_t > staticValues, ValueRange dynamicValues, Builder &b)
	Return a vector of OpFoldResults with the same size a staticValues, but all elements for which ShapedType::isDynamic is true, will be replaced by dynamicValues. More...
std::pair< SmallVector< int64_t >, SmallVector< Value > >	decomposeMixedValues (const SmallVectorImpl< OpFoldResult > &mixedValues)
	Decompose a vector of mixed static or dynamic values into the corresponding pair of arrays. More...
SmallVector< Value >	getValuesSortedByKey (ArrayRef< Attribute > keys, ArrayRef< Value > values, llvm::function_ref< bool(Attribute, Attribute)> compare)
	Helper to sort values according to matching keys. More...
SmallVector< OpFoldResult >	getValuesSortedByKey (ArrayRef< Attribute > keys, ArrayRef< OpFoldResult > values, llvm::function_ref< bool(Attribute, Attribute)> compare)
SmallVector< int64_t >	getValuesSortedByKey (ArrayRef< Attribute > keys, ArrayRef< int64_t > values, llvm::function_ref< bool(Attribute, Attribute)> compare)
bool	hasValidSizesOffsets (SmallVector< int64_t > sizesOrOffsets)
	Helper function to check whether the passed in sizes or offsets are valid. More...
bool	hasValidStrides (SmallVector< int64_t > strides)
	Helper function to check whether the passed in strides are valid. More...
LogicalResult	foldDynamicIndexList (SmallVectorImpl< OpFoldResult > &ofrs, bool onlyNonNegative=false, bool onlyNonZero=false)
	Returns "success" when any of the elements in ofrs is a constant value. More...
LogicalResult	foldDynamicOffsetSizeList (SmallVectorImpl< OpFoldResult > &offsetsOrSizes)
	Returns "success" when any of the elements in offsetsOrSizes is a constant value. More...
LogicalResult	foldDynamicStrideList (SmallVectorImpl< OpFoldResult > &strides)
	Returns "success" when any of the elements in strides is a constant value. More...
std::optional< int64_t >	constantTripCount (OpFoldResult lb, OpFoldResult ub, OpFoldResult step)
	Return the number of iterations for a loop with a lower bound lb, upper bound ub and step step. More...
bool	isRowMajorMatmul (ArrayAttr indexingMaps)
	Tests whether the given maps describe a row major matmul. More...
bool	isColumnMajorMatmul (ArrayAttr indexingMaps)
	Tests whether the given maps describe a column major matmul. More...
bool	isRowMajorBatchMatmul (ArrayAttr indexingMaps)
	Tests whether the given maps describe a row major batch matmul. More...
bool	isVecmat (ArrayAttr indexingMaps)
	Tests whether the given maps describe a vector matrix multiplication. More...
bool	isBatchVecmat (ArrayAttr indexingMaps)
	Tests whether the given maps describe a batch vector matrix multiplication. More...
bool	isMatvec (ArrayAttr indexingMaps)
	Tests whether the given maps describe a matrix vector multiplication. More...
bool	isBatchMatvec (ArrayAttr indexingMaps)
	Tests whether the given maps describe a batch matrix vector multiplication. More...
void	findPositionsOfType (ArrayRef< utils::IteratorType > iteratorTypes, utils::IteratorType iteratorTypeName, SmallVectorImpl< unsigned > &res)
	Return positions in iteratorTypes that match iteratorTypeName. More...
Operation *	clone (OpBuilder &b, Operation *op, TypeRange newResultTypes, ValueRange newOperands)
template<typename OpT >
OpT	clone (OpBuilder &b, OpT op, TypeRange newResultTypes, ValueRange newOperands)
Operation *	cloneWithoutRegions (OpBuilder &b, Operation *op, TypeRange newResultTypes, ValueRange newOperands)
SmallVector< NamedAttribute >	getPrunedAttributeList (Operation *op, ArrayRef< StringRef > elidedAttrs)
void	populateX86VectorLegalizeForLLVMExportPatterns (const LLVMTypeConverter &converter, RewritePatternSet &patterns)
	Collect a set of patterns to lower X86Vector ops to ops that map to LLVM intrinsics. More...
void	configureX86VectorLegalizeForExportTarget (LLVMConversionTarget &target)
	Configure the target to support lowering X86Vector ops to ops that map to LLVM intrinsics. More...
int	JitRunnerMain (int argc, char **argv, const DialectRegistry &registry, JitRunnerConfig config={})
	Entry point for all CPU runners. More...
std::function< llvm::Error(llvm::Module *)>	makeOptimizingTransformer (unsigned optLevel, unsigned sizeLevel, llvm::TargetMachine *targetMachine)
	Create a module transformer function for MLIR ExecutionEngine that runs LLVM IR passes corresponding to the given speed and size optimization levels (e.g. More...
void	registerAllDialects (DialectRegistry &registry)
	Add all the MLIR dialects to the provided registry. More...
void	registerAllDialects (MLIRContext &context)
	Append all the MLIR dialects to the registry contained in the given context. More...
void	registerAllExtensions (DialectRegistry &registry)
	This function may be called to register all MLIR dialect extensions with the provided registry. More...
void	registerAllPasses ()
void	registerFromLLVMIRTranslation ()
void	registerFromSPIRVTranslation ()
void	registerToCppTranslation ()
void	registerToLLVMIRTranslation ()
void	registerToSPIRVTranslation ()
void	registerAllTranslations ()
bool	operator!= (RegionBranchPoint lhs, RegionBranchPoint rhs)
bool	insideMutuallyExclusiveRegions (Operation *a, Operation *b)
	Return true if a and b are in mutually exclusive regions as per RegionBranchOpInterface. More...
Region *	getEnclosingRepetitiveRegion (Operation *op)
	Return the first enclosing region of the given op that may be executed repetitively as per RegionBranchOpInterface or nullptr if no such region exists. More...
Region *	getEnclosingRepetitiveRegion (Value value)
	Return the first enclosing region of the given Value that may be executed repetitively as per RegionBranchOpInterface or nullptr if no such region exists. More...
raw_ostream &	operator<< (raw_ostream &, const ConstantIntRanges &)
raw_ostream &	operator<< (raw_ostream &, const IntegerValueRange &)
LogicalResult	reifyResultShapes (OpBuilder &b, Operation *op, ReifiedRankedShapedTypeDims &reifiedReturnShapes)
	Reify the shape of the result of an operation (typically in terms of the shape of its operands). More...
template<typename EffectTy >
bool	hasSingleEffect (Operation *op)
	Returns true if op has only an effect of type EffectTy. More...
template<typename EffectTy >
bool	hasSingleEffect (Operation *op, Value value)
	Returns true if op has only an effect of type EffectTy (and of no other type) on value. More...
template<typename ValueTy , typename EffectTy >
bool	hasSingleEffect (Operation *op, ValueTy value)
	Returns true if op has only an effect of type EffectTy (and of no other type) on value of type ValueTy. More...
template<typename... EffectTys>
bool	hasEffect (Operation *op)
	Returns true if op has an effect of type EffectTy. More...
template<typename... EffectTys>
bool	hasEffect (Operation *op, Value value)
	Returns true if op has an effect of type EffectTy on value. More...
template<typename ValueTy , typename... EffectTys>
bool	hasEffect (Operation *op, ValueTy value)
	Returns true if op has an effect of type EffectTy on value of type ValueTy. More...
bool	isOpTriviallyDead (Operation *op)
	Return true if the given operation is unused, and has no side effects on memory that prevent erasing. More...
bool	wouldOpBeTriviallyDead (Operation *op)
	Return true if the given operation would be dead if unused, and has no side effects on memory that would prevent erasing. More...
bool	isMemoryEffectFree (Operation *op)
	Returns true if the given operation is free of memory effects. More...
std::optional< llvm::SmallVector< MemoryEffects::EffectInstance > >	getEffectsRecursively (Operation *rootOp)
	Returns the side effects of an operation. More...
bool	isSpeculatable (Operation *op)
	Returns true if the given operation is speculatable, i.e. More...
bool	isPure (Operation *op)
	Returns true if the given operation is pure, i.e., is speculatable that does not touch memory. More...
void	printDynamicIndexList (OpAsmPrinter &printer, Operation *op, OperandRange values, ArrayRef< int64_t > integers, ArrayRef< bool > scalables, TypeRange valueTypes=TypeRange(), AsmParser::Delimiter delimiter=AsmParser::Delimiter::Square)
	Printer hook for custom directive in assemblyFormat. More...
void	printDynamicIndexList (OpAsmPrinter &printer, Operation *op, OperandRange values, ArrayRef< int64_t > integers, AsmParser::Delimiter delimiter)
void	printDynamicIndexList (OpAsmPrinter &printer, Operation *op, OperandRange values, ArrayRef< int64_t > integers, TypeRange valueTypes=TypeRange(), AsmParser::Delimiter delimiter=AsmParser::Delimiter::Square)
ParseResult	parseDynamicIndexList (OpAsmParser &parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &values, DenseI64ArrayAttr &integers, DenseBoolArrayAttr &scalableVals, SmallVectorImpl< Type > *valueTypes=nullptr, AsmParser::Delimiter delimiter=AsmParser::Delimiter::Square)
	Parser hook for custom directive in assemblyFormat. More...
ParseResult	parseDynamicIndexList (OpAsmParser &parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &values, DenseI64ArrayAttr &integers, AsmParser::Delimiter delimiter)
ParseResult	parseDynamicIndexList (OpAsmParser &parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &values, DenseI64ArrayAttr &integers, SmallVectorImpl< Type > *valueTypes=nullptr, AsmParser::Delimiter delimiter=AsmParser::Delimiter::Square)
ParseResult	parseDynamicIndexList (OpAsmParser &parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &values, DenseI64ArrayAttr &integers, SmallVectorImpl< Type > &valueTypes, AsmParser::Delimiter delimiter=AsmParser::Delimiter::Square)
ParseResult	parseDynamicIndexList (OpAsmParser &parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &values, DenseI64ArrayAttr &integers, SmallVectorImpl< Type > &valueTypes, DenseBoolArrayAttr &scalableVals, AsmParser::Delimiter delimiter=AsmParser::Delimiter::Square)
LogicalResult	verifyListOfOperandsOrIntegers (Operation *op, StringRef name, unsigned expectedNumElements, ArrayRef< int64_t > attr, ValueRange values)
	Verify that a the values has as many elements as the number of entries in attr for which isDynamic evaluates to true. More...
inline ::llvm::hash_code	hash_value (AffineExpr arg)
	Make AffineExpr hashable. More...
AffineExpr	operator+ (int64_t val, AffineExpr expr)
AffineExpr	operator* (int64_t val, AffineExpr expr)
AffineExpr	operator- (int64_t val, AffineExpr expr)
AffineExpr	getAffineDimExpr (unsigned position, MLIRContext *context)
	These free functions allow clients of the API to not use classes in detail. More...
AffineExpr	getAffineSymbolExpr (unsigned position, MLIRContext *context)
AffineExpr	getAffineConstantExpr (int64_t constant, MLIRContext *context)
SmallVector< AffineExpr >	getAffineConstantExprs (ArrayRef< int64_t > constants, MLIRContext *context)
AffineExpr	getAffineBinaryOpExpr (AffineExprKind kind, AffineExpr lhs, AffineExpr rhs)
AffineExpr	getAffineExprFromFlatForm (ArrayRef< int64_t > flatExprs, unsigned numDims, unsigned numSymbols, ArrayRef< AffineExpr > localExprs, MLIRContext *context)
	Constructs an affine expression from a flat ArrayRef. More...
raw_ostream &	operator<< (raw_ostream &os, AffineExpr expr)
AffineExpr	simplifyAffineExpr (AffineExpr expr, unsigned numDims, unsigned numSymbols)
	Simplify an affine expression by flattening and some amount of simple analysis. More...
template<typename... AffineExprTy>
void	bindDims (MLIRContext *ctx, AffineExprTy &...exprs)
	Bind a list of AffineExpr references to DimExpr at positions: [0 . More...
template<typename AffineExprTy >
void	bindDimsList (MLIRContext *ctx, MutableArrayRef< AffineExprTy > exprs)
template<typename... AffineExprTy>
void	bindSymbols (MLIRContext *ctx, AffineExprTy &...exprs)
	Bind a list of AffineExpr references to SymbolExpr at positions: [0 . More...
template<typename AffineExprTy >
void	bindSymbolsList (MLIRContext *ctx, MutableArrayRef< AffineExprTy > exprs)
std::optional< int64_t >	getBoundForAffineExpr (AffineExpr expr, unsigned numDims, unsigned numSymbols, ArrayRef< std::optional< int64_t >> constLowerBounds, ArrayRef< std::optional< int64_t >> constUpperBounds, bool isUpper)
	Get a lower or upper (depending on isUpper) bound for expr while using the constant lower and upper bounds for its inputs provided in constLowerBounds and constUpperBounds. More...
inline ::llvm::hash_code	hash_value (AffineMap arg)
AffineMap	simplifyAffineMap (AffineMap map)
	Simplifies an affine map by simplifying its underlying AffineExpr results. More...
AffineMap	compressDims (AffineMap map, const llvm::SmallBitVector &unusedDims)
	Drop the dims that are listed in unusedDims. More...
AffineMap	compressUnusedDims (AffineMap map)
	Drop the dims that are not used. More...
SmallVector< AffineMap >	compressUnusedDims (ArrayRef< AffineMap > maps)
	Drop the dims that are not used by any of the individual maps in maps. More...
AffineMap	compressSymbols (AffineMap map, const llvm::SmallBitVector &unusedSymbols)
	Drop the symbols that are listed in unusedSymbols. More...
AffineMap	compressUnusedSymbols (AffineMap map)
	Drop the symbols that are not used. More...
SmallVector< AffineMap >	compressUnusedSymbols (ArrayRef< AffineMap > maps)
	Drop the symbols that are not used by any of the individual maps in maps. More...
AffineMap	foldAttributesIntoMap (Builder &b, AffineMap map, ArrayRef< OpFoldResult > operands, SmallVector< Value > &remainingValues)
	Fold all attributes among the given operands into the affine map. More...
AffineMap	removeDuplicateExprs (AffineMap map)
	Returns a map with the same dimension and symbol count as map, but whose results are the unique affine expressions of map. More...
AffineMap	inversePermutation (AffineMap map)
	Returns a map of codomain to domain dimensions such that the first codomain dimension for a particular domain dimension is selected. More...
AffineMap	inverseAndBroadcastProjectedPermutation (AffineMap map)
	Return the reverse map of a projected permutation where the projected dimensions are transformed into 0s. More...
AffineMap	concatAffineMaps (ArrayRef< AffineMap > maps, MLIRContext *context)
	Concatenates a list of maps into a single AffineMap, stepping over potentially empty maps. More...
AffineMap	projectDims (AffineMap map, const llvm::SmallBitVector &projectedDimensions, bool compressDimsFlag=false)
	Returns the map that results from projecting out the dimensions specified in projectedDimensions. More...
AffineMap	projectSymbols (AffineMap map, const llvm::SmallBitVector &projectedSymbols, bool compressSymbolsFlag=false)
	Symbol counterpart of projectDims. More...
AffineMap	getProjectedMap (AffineMap map, const llvm::SmallBitVector &projectedDimensions, bool compressDimsFlag=true, bool compressSymbolsFlag=true)
	Calls projectDims(map, projectedDimensions, compressDimsFlag). More...
llvm::SmallBitVector	getUnusedDimsBitVector (ArrayRef< AffineMap > maps)
llvm::SmallBitVector	getUnusedSymbolsBitVector (ArrayRef< AffineMap > maps)
AffineMap	expandDimsToRank (AffineMap map, int64_t rank, const llvm::SmallBitVector &projectedDimensions)
	Expand map to operate on rank dims while projecting out the dims in projectedDimensions. More...
raw_ostream &	operator<< (raw_ostream &os, AffineMap map)
template<typename T >
SmallVector< T >	applyPermutationMap (AffineMap map, llvm::ArrayRef< T > source)
	Apply a permutation from map to source and return the result. More...
template<typename AffineExprContainer >
static void	getMaxDimAndSymbol (ArrayRef< AffineExprContainer > exprsList, int64_t &maxDim, int64_t &maxSym)
	Calculates maximum dimension and symbol positions from the expressions in exprsLists and stores them in maxDim and maxSym respectively. More...
StringRef	toString (AsmResourceEntryKind kind)
void	registerAsmPrinterCLOptions ()
	Register a set of useful command-line options that can be used to configure various flags within the AsmPrinter. More...
raw_ostream &	operator<< (raw_ostream &os, Attribute attr)
inline ::llvm::hash_code	hash_value (Attribute arg)
inline ::llvm::hash_code	hash_value (const NamedAttribute &arg)
raw_ostream &	operator<< (raw_ostream &, Block &)
bool	operator== (StringAttr lhs, std::nullptr_t)
	Define comparisons for StringAttr against nullptr and itself to avoid the StringRef overloads from being chosen when not desirable. More...
bool	operator!= (StringAttr lhs, std::nullptr_t)
bool	operator== (StringAttr lhs, StringAttr rhs)
bool	operator!= (StringAttr lhs, StringAttr rhs)
bool	operator== (StringAttr lhs, StringRef rhs)
	Allow direct comparison with StringRef. More...
bool	operator!= (StringAttr lhs, StringRef rhs)
bool	operator== (StringRef lhs, StringAttr rhs)
bool	operator!= (StringRef lhs, StringAttr rhs)
AffineMap	makeStridedLinearLayoutMap (ArrayRef< int64_t > strides, int64_t offset, MLIRContext *context)
	Given a list of strides (in which ShapedType::kDynamic represents a dynamic value), return the single result AffineMap which represents the linearized strided layout map. More...
std::optional< llvm::SmallDenseSet< unsigned > >	computeRankReductionMask (ArrayRef< int64_t > originalShape, ArrayRef< int64_t > reducedShape, bool matchDynamic=false)
	Given an originalShape and a reducedShape assumed to be a subset of originalShape with some 1 entries erased, return the set of indices that specifies which of the entries of originalShape are dropped to obtain reducedShape. More...
SliceVerificationResult	isRankReducedType (ShapedType originalType, ShapedType candidateReducedType)
	Check if originalType can be rank reduced to candidateReducedType type by dropping some dimensions with static size 1. More...
LogicalResult	getStridesAndOffset (MemRefType t, SmallVectorImpl< int64_t > &strides, int64_t &offset)
	Returns the strides of the MemRef if the layout map is in strided form. More...
std::pair< SmallVector< int64_t >, int64_t >	getStridesAndOffset (MemRefType t)
	Wrapper around getStridesAndOffset(MemRefType, SmallVectorImpl<int64_t>, int64_t) that will assert if the logical result is not succeeded. More...
MemRefType	canonicalizeStridedLayout (MemRefType t)
	Return a version of t with identity layout if it can be determined statically that the layout is the canonical contiguous strided layout. More...
AffineExpr	makeCanonicalStridedLayoutExpr (ArrayRef< int64_t > sizes, ArrayRef< AffineExpr > exprs, MLIRContext *context)
	Given MemRef sizes that are either static or dynamic, returns the canonical "contiguous" strides AffineExpr. More...
AffineExpr	makeCanonicalStridedLayoutExpr (ArrayRef< int64_t > sizes, MLIRContext *context)
	Return the result of makeCanonicalStrudedLayoutExpr for the common case where exprs is {d0, d1, .., d_(sizes.size()-1)}. More...
bool	isStrided (MemRefType t)
	Return "true" if the layout for t is compatible with strided semantics. More...
bool	isLastMemrefDimUnitStride (MemRefType type)
	Return "true" if the last dimension of the given type has a static unit stride. More...
bool	trailingNDimsContiguous (MemRefType type, int64_t n)
	Return "true" if the last N dimensions of the given type are contiguous. More...
raw_ostream &	operator<< (raw_ostream &os, const DiagnosticArgument &arg)
raw_ostream &	operator<< (raw_ostream &os, const Diagnostic &diag)
InFlightDiagnostic	emitError (Location loc)
	Utility method to emit an error message using this location. More...
InFlightDiagnostic	emitError (Location loc, const Twine &message)
InFlightDiagnostic	emitWarning (Location loc)
	Utility method to emit a warning message using this location. More...
InFlightDiagnostic	emitWarning (Location loc, const Twine &message)
InFlightDiagnostic	emitRemark (Location loc)
	Utility method to emit a remark message using this location. More...
InFlightDiagnostic	emitRemark (Location loc, const Twine &message)
template<typename... Args>
LogicalResult	emitOptionalError (std::optional< Location > loc, Args &&...args)
	Overloads of the above emission functions that take an optionally null location. More...
template<typename... Args>
LogicalResult	emitOptionalWarning (std::optional< Location > loc, Args &&...args)
template<typename... Args>
LogicalResult	emitOptionalRemark (std::optional< Location > loc, Args &&...args)
inline ::llvm::hash_code	hash_value (IntegerSet arg)
raw_ostream &	operator<< (raw_ostream &os, const Location &loc)
inline ::llvm::hash_code	hash_value (Location arg)
detail::constant_op_matcher	m_Constant ()
	Matches a constant foldable operation. More...
detail::AttrOpMatcher	m_Attr (StringRef attrName)
	Matches a named attribute operation. More...
detail::NameOpMatcher	m_Op (StringRef opName)
	Matches a named operation. More...
template<typename AttrT >
detail::constant_op_binder< AttrT >	m_Constant (AttrT *bind_value)
	Matches a value from a constant foldable operation and writes the value to bind_value. More...
template<typename AttrT >
detail::AttrOpBinder< AttrT >	m_Attr (StringRef attrName, AttrT *bindValue)
	Matches a named attribute operation and writes the value to bind_value. More...
detail::constant_float_predicate_matcher	m_AnyZeroFloat ()
	Matches a constant scalar / vector splat / tensor splat float (both positive and negative) zero. More...
detail::constant_float_predicate_matcher	m_PosZeroFloat ()
	Matches a constant scalar / vector splat / tensor splat float positive zero. More...
detail::constant_float_predicate_matcher	m_NegZeroFloat ()
	Matches a constant scalar / vector splat / tensor splat float negative zero. More...
detail::constant_float_predicate_matcher	m_OneFloat ()
	Matches a constant scalar / vector splat / tensor splat float ones. More...
detail::constant_float_predicate_matcher	m_NaNFloat ()
	Matches a constant scalar / vector splat / tensor splat float ones. More...
detail::constant_float_predicate_matcher	m_PosInfFloat ()
	Matches a constant scalar / vector splat / tensor splat float positive infinity. More...
detail::constant_float_predicate_matcher	m_NegInfFloat ()
	Matches a constant scalar / vector splat / tensor splat float negative infinity. More...
detail::constant_int_predicate_matcher	m_Zero ()
	Matches a constant scalar / vector splat / tensor splat integer zero. More...
detail::constant_int_predicate_matcher	m_NonZero ()
	Matches a constant scalar / vector splat / tensor splat integer that is any non-zero value. More...
detail::constant_int_range_predicate_matcher	m_IntRangeWithoutZeroU ()
	Matches a constant scalar / vector splat / tensor splat integer or a unsigned integer range that does not contain zero. More...
detail::constant_int_range_predicate_matcher	m_IntRangeWithoutZeroS ()
	Matches a constant scalar / vector splat / tensor splat integer or a signed integer range that does not contain zero. More...
detail::constant_int_range_predicate_matcher	m_IntRangeWithoutNegOneS ()
	Matches a constant scalar / vector splat / tensor splat integer or a signed integer range that does not contain minus one. More...
detail::constant_int_predicate_matcher	m_One ()
	Matches a constant scalar / vector splat / tensor splat integer one. More...
template<typename OpClass >
detail::op_matcher< OpClass >	m_Op ()
	Matches the given OpClass. More...
template<typename Pattern >
bool	matchPattern (Value value, const Pattern &pattern)
	Entry point for matching a pattern over a Value. More...
template<typename Pattern >
bool	matchPattern (Operation *op, const Pattern &pattern)
	Entry point for matching a pattern over an Operation. More...
template<typename Pattern >
bool	matchPattern (Attribute attr, const Pattern &pattern)
	Entry point for matching a pattern over an Attribute. More...
detail::constant_float_value_binder	m_ConstantFloat (FloatAttr::ValueType *bind_value)
	Matches a constant holding a scalar/vector/tensor float (splat) and writes the float value to bind_value. More...
detail::constant_int_value_binder	m_ConstantInt (IntegerAttr::ValueType *bind_value)
	Matches a constant holding a scalar/vector/tensor integer (splat) and writes the integer value to bind_value. More...
template<typename OpType , typename... Matchers>
auto	m_Op (Matchers... matchers)
void	registerMLIRContextCLOptions ()
	Register a set of useful command-line options that can be used to configure various flags within the MLIRContext. More...
LogicalResult	convertFromAttribute (int64_t &storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Convert an IntegerAttr attribute to an int64_t, or return an error if the attribute isn't an IntegerAttr. More...
Attribute	convertToAttribute (MLIRContext *ctx, int64_t storage)
	Convert the provided int64_t to an IntegerAttr attribute. More...
LogicalResult	convertFromAttribute (int32_t &storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Convert an IntegerAttr attribute to an int32_t, or return an error if the attribute isn't an IntegerAttr. More...
Attribute	convertToAttribute (MLIRContext *ctx, int32_t storage)
	Convert the provided int32_t to an IntegerAttr attribute. More...
LogicalResult	convertFromAttribute (std::string &storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Extract the string from attr into storage. More...
Attribute	convertToAttribute (MLIRContext *ctx, const std::string &storage)
	Convert the given string into a StringAttr. More...
LogicalResult	convertFromAttribute (bool &storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Extract the boolean from attr into storage. More...
Attribute	convertToAttribute (MLIRContext *ctx, bool storage)
	Convert the given string into a BooleanAttr. More...
LogicalResult	convertFromAttribute (MutableArrayRef< int64_t > storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Convert a DenseI64ArrayAttr to the provided storage. More...
LogicalResult	convertFromAttribute (MutableArrayRef< int32_t > storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Convert a DenseI32ArrayAttr to the provided storage. More...
LogicalResult	convertFromAttribute (SmallVectorImpl< int64_t > &storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Convert a DenseI64ArrayAttr to the provided storage, which will be cleared before writing. More...
LogicalResult	convertFromAttribute (SmallVectorImpl< int32_t > &storage, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
	Convert a DenseI32ArrayAttr to the provided storage, which will be cleared before writing. More...
Attribute	convertToAttribute (MLIRContext *ctx, ArrayRef< int64_t > storage)
	Convert the provided ArrayRef<int64_t> to a DenseI64ArrayAttr attribute. More...
bool	operator== (OpState lhs, OpState rhs)
bool	operator!= (OpState lhs, OpState rhs)
raw_ostream &	operator<< (raw_ostream &os, OpFoldResult ofr)
	Allow printing to a stream. More...
raw_ostream &	operator<< (raw_ostream &os, OpState op)
	Allow printing to a stream. More...
raw_ostream &	operator<< (raw_ostream &os, const Operation &op)
raw_ostream &	operator<< (raw_ostream &os, OperationName info)
llvm::hash_code	hash_value (OperationName arg)
	LLVM_ENABLE_BITMASK_ENUMS_IN_NAMESPACE ()
	Enable Bitmask enums for OperationEquivalence::Flags. More...
llvm::hash_code	hash_value (const AsmDialectResourceHandle &param)
template<typename AsmPrinterT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, Type type)
template<typename AsmPrinterT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, Attribute attr)
template<typename AsmPrinterT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, const APFloat &value)
template<typename AsmPrinterT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, float value)
template<typename AsmPrinterT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, double value)
template<typename AsmPrinterT , typename T , std::enable_if_t<!std::is_convertible< T &, Value & >::value &&!std::is_convertible< T &, Type & >::value &&!std::is_convertible< T &, Attribute & >::value &&!std::is_convertible< T &, ValueRange >::value &&!std::is_convertible< T &, APFloat & >::value &&!llvm::is_one_of< T, bool, float, double >::value, T > * = nullptr>
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, const T &other)
template<typename AsmPrinterT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, bool value)
template<typename AsmPrinterT , typename ValueRangeT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, const ValueTypeRange< ValueRangeT > &types)
template<typename AsmPrinterT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, const TypeRange &types)
template<typename AsmPrinterT , typename T >
std::enable_if_t< std::is_same< AsmPrinter, AsmPrinterT >::value &&std::is_convertible< T &, ValueRange >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, const T &other)=delete
template<typename AsmPrinterT , typename ElementT >
std::enable_if_t< std::is_base_of< AsmPrinter, AsmPrinterT >::value, AsmPrinterT & >	operator<< (AsmPrinterT &p, ArrayRef< ElementT > types)
OpAsmPrinter &	operator<< (OpAsmPrinter &p, Value value)
template<typename T , std::enable_if_t< std::is_convertible< T &, ValueRange >::value &&!std::is_convertible< T &, Value & >::value, T > * = nullptr>
OpAsmPrinter &	operator<< (OpAsmPrinter &p, const T &values)
OpAsmPrinter &	operator<< (OpAsmPrinter &p, Block *value)
void	printDimensionList (OpAsmPrinter &printer, Operation *op, ArrayRef< int64_t > dimensions)
ParseResult	parseDimensionList (OpAsmParser &parser, DenseI64ArrayAttr &dimensions)
bool	mayHaveSSADominance (Region &region)
	Return "true" if the given region may have SSA dominance. More...
bool	mayBeGraphRegion (Region &region)
	Return "true" if the given region may be a graph region without SSA dominance. More...
raw_ostream &	operator<< (raw_ostream &os, SymbolTable::Visibility visibility)
template<typename IteratorT , typename FuncT >
LogicalResult	failableParallelForEach (MLIRContext *context, IteratorT begin, IteratorT end, FuncT &&func)
	Invoke the given function on the elements between [begin, end) asynchronously. More...
template<typename RangeT , typename FuncT >
LogicalResult	failableParallelForEach (MLIRContext *context, RangeT &&range, FuncT &&func)
	Invoke the given function on the elements in the provided range asynchronously. More...
template<typename FuncT >
LogicalResult	failableParallelForEachN (MLIRContext *context, size_t begin, size_t end, FuncT &&func)
	Invoke the given function on the elements between [begin, end) asynchronously. More...
template<typename IteratorT , typename FuncT >
void	parallelForEach (MLIRContext *context, IteratorT begin, IteratorT end, FuncT &&func)
	Invoke the given function on the elements between [begin, end) asynchronously. More...
template<typename RangeT , typename FuncT >
void	parallelForEach (MLIRContext *context, RangeT &&range, FuncT &&func)
	Invoke the given function on the elements in the provided range asynchronously. More...
template<typename FuncT >
void	parallelFor (MLIRContext *context, size_t begin, size_t end, FuncT &&func)
	Invoke the given function on the elements between [begin, end) asynchronously. More...
inline ::llvm::hash_code	hash_value (TypeRange arg)
	Make TypeRange hashable. More...
raw_ostream &	operator<< (raw_ostream &os, const TypeRange &types)
	Emit a type range to the given output stream. More...
template<typename RangeT >
bool	operator== (ArrayRef< Type > lhs, const ValueTypeRange< RangeT > &rhs)
raw_ostream &	operator<< (raw_ostream &os, Type type)
inline ::llvm::hash_code	hash_value (Type arg)
Type	getElementTypeOrSelf (Type type)
	Return the element type or return the type itself. More...
Type	getElementTypeOrSelf (Attribute attr)
	Return the element type or return the type itself. More...
Type	getElementTypeOrSelf (Value val)
SmallVector< Type, 10 >	getFlattenedTypes (TupleType t)
	Get the types within a nested Tuple. More...
bool	isOpaqueTypeWithName (Type type, StringRef dialect, StringRef typeData)
	Return true if the specified type is an opaque type with the specified dialect and typeData. More...
LogicalResult	verifyCompatibleShape (ArrayRef< int64_t > shape1, ArrayRef< int64_t > shape2)
	Returns success if the given two shapes are compatible. More...
LogicalResult	verifyCompatibleShape (Type type1, Type type2)
	Returns success if the given two types have compatible shape. More...
LogicalResult	verifyCompatibleShapes (TypeRange types1, TypeRange types2)
	Returns success if the given two arrays have the same number of elements and each pair wise entries have compatible shape. More...
LogicalResult	verifyCompatibleShapes (TypeRange types)
	Returns success if all given types have compatible shapes. More...
LogicalResult	verifyCompatibleDims (ArrayRef< int64_t > dims)
	Dimensions are compatible if all non-dynamic dims are equal. More...
TypeRange	insertTypesInto (TypeRange oldTypes, ArrayRef< unsigned > indices, TypeRange newTypes, SmallVectorImpl< Type > &storage)
	Insert a set of newTypes into oldTypes at the given indices. More...
TypeRange	filterTypesOut (TypeRange types, const BitVector &indices, SmallVectorImpl< Type > &storage)
	Filters out any elements referenced by indices. More...
raw_ostream &	operator<< (raw_ostream &os, const IRUnit &unit)
raw_ostream &	operator<< (raw_ostream &os, Value value)
inline ::llvm::hash_code	hash_value (Value arg)
	Make Value hashable. More...
LogicalResult	verify (Operation *op, bool verifyRecursively=true)
	Perform (potentially expensive) checks of invariants, used to detect compiler bugs, on this operation and any nested operations. More...
LogicalResult	parseSourceFile (const llvm::SourceMgr &sourceMgr, Block *block, const ParserConfig &config, LocationAttr *sourceFileLoc=nullptr)
	This parses the file specified by the indicated SourceMgr and appends parsed operations to the given block. More...
LogicalResult	parseSourceFile (const std::shared_ptr< llvm::SourceMgr > &sourceMgr, Block *block, const ParserConfig &config, LocationAttr *sourceFileLoc=nullptr)
	An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR). More...
LogicalResult	parseSourceFile (llvm::StringRef filename, Block *block, const ParserConfig &config, LocationAttr *sourceFileLoc=nullptr)
	This parses the file specified by the indicated filename and appends parsed operations to the given block. More...
LogicalResult	parseSourceFile (llvm::StringRef filename, llvm::SourceMgr &sourceMgr, Block *block, const ParserConfig &config, LocationAttr *sourceFileLoc=nullptr)
	This parses the file specified by the indicated filename using the provided SourceMgr and appends parsed operations to the given block. More...
LogicalResult	parseSourceFile (llvm::StringRef filename, const std::shared_ptr< llvm::SourceMgr > &sourceMgr, Block *block, const ParserConfig &config, LocationAttr *sourceFileLoc=nullptr)
	An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR). More...
LogicalResult	parseSourceString (llvm::StringRef sourceStr, Block *block, const ParserConfig &config, StringRef sourceName="", LocationAttr *sourceFileLoc=nullptr)
	This parses the IR string and appends parsed operations to the given block. More...
template<typename ContainerOpT = Operation *>
OwningOpRef< ContainerOpT >	parseSourceFile (const llvm::SourceMgr &sourceMgr, const ParserConfig &config)
	This parses the file specified by the indicated SourceMgr. More...
template<typename ContainerOpT = Operation *>
OwningOpRef< ContainerOpT >	parseSourceFile (const std::shared_ptr< llvm::SourceMgr > &sourceMgr, const ParserConfig &config)
	An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR). More...
template<typename ContainerOpT = Operation *>
OwningOpRef< ContainerOpT >	parseSourceFile (StringRef filename, const ParserConfig &config)
	This parses the file specified by the indicated filename. More...
template<typename ContainerOpT = Operation *>
OwningOpRef< ContainerOpT >	parseSourceFile (llvm::StringRef filename, llvm::SourceMgr &sourceMgr, const ParserConfig &config)
	This parses the file specified by the indicated filename using the provided SourceMgr. More...
template<typename ContainerOpT = Operation *>
OwningOpRef< ContainerOpT >	parseSourceFile (llvm::StringRef filename, const std::shared_ptr< llvm::SourceMgr > &sourceMgr, const ParserConfig &config)
	An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR). More...
template<typename ContainerOpT = Operation *>
OwningOpRef< ContainerOpT >	parseSourceString (llvm::StringRef sourceStr, const ParserConfig &config, StringRef sourceName="")
	This parses the provided string containing MLIR. More...
std::string	makeReproducer (StringRef anchorName, const llvm::iterator_range< OpPassManager::pass_iterator > &passes, Operation *op, StringRef outputFile, bool disableThreads=false, bool verifyPasses=false)
void	registerPassManagerCLOptions ()
	Register a set of useful command-line options that can be used to configure a pass manager. More...
LogicalResult	applyPassManagerCLOptions (PassManager &pm)
	Apply any values provided to the pass manager options that were registered with 'registerPassManagerOptions'. More...
void	applyDefaultTimingPassManagerCLOptions (PassManager &pm)
	Apply any values provided to the timing manager options that were registered with registerDefaultTimingManagerOptions. More...
void	printRegisteredPasses ()
	Prints the passes that were previously registered and stored in passRegistry. More...
void	registerPassPipeline (StringRef arg, StringRef description, const PassRegistryFunction &function, std::function< void(function_ref< void(const detail::PassOptions &)>)> optHandler)
	Register a specific dialect pipeline registry function with the system, typically used through the PassPipelineRegistration template. More...
void	registerPass (const PassAllocatorFunction &function)
	Register a specific dialect pass allocator function with the system, typically used through the PassRegistration template. More...
LogicalResult	parsePassPipeline (StringRef pipeline, OpPassManager &pm, raw_ostream &errorStream=llvm::errs())
	Parse the textual representation of a pass pipeline, adding the result to 'pm' on success. More...
FailureOr< OpPassManager >	parsePassPipeline (StringRef pipeline, raw_ostream &errorStream=llvm::errs())
	Parse the given textual representation of a pass pipeline, and return the parsed pipeline on success. More...
std::unique_ptr< Pass >	createReductionTreePass ()
std::unique_ptr< Pass >	createOptReductionPass ()
template<typename T >
static std::string	debugString (T &&op)
std::unique_ptr< llvm::MemoryBuffer >	openInputFile (llvm::StringRef inputFilename, std::string *errorMessage=nullptr)
	Open the file specified by its name for reading. More...
std::unique_ptr< llvm::MemoryBuffer >	openInputFile (llvm::StringRef inputFilename, llvm::Align alignment, std::string *errorMessage=nullptr)
	Open the file specified by its name for reading, with the given buffer alignment constraint. More...
std::unique_ptr< llvm::ToolOutputFile >	openOutputFile (llvm::StringRef outputFilename, std::string *errorMessage=nullptr)
	Open the file specified by its name for writing. More...
llvm::raw_ostream &	thread_safe_nulls ()
	Returns a raw output stream that simply discards the output, but in a thread-safe manner. More...
void	registerDefaultTimingManagerCLOptions ()
	Register a set of useful command-line options that can be used to configure a DefaultTimingManager. More...
void	applyDefaultTimingManagerCLOptions (DefaultTimingManager &tm)
	Apply any values that were registered with 'registerDefaultTimingManagerOptions' to a DefaultTimingManager. More...
LogicalResult	splitAndProcessBuffer (std::unique_ptr< llvm::MemoryBuffer > originalBuffer, ChunkBufferHandler processChunkBuffer, raw_ostream &os, llvm::StringRef inputSplitMarker=kDefaultSplitMarker, llvm::StringRef outputSplitMarker="")
	Splits the specified buffer on a marker (// ----- by default), processes each chunk independently according to the normal processChunkBuffer logic, and writes all results to os. More...
inline ::llvm::hash_code	hash_value (TypeID id)
	Enable hashing TypeID. More...
static void	registerAllToLLVMIRTranslations (DialectRegistry &registry)
	Registers all dialects that can be translated to LLVM IR and the corresponding translation interfaces. More...
static void	registerAllGPUToLLVMIRTranslations (DialectRegistry &registry)
	Registers all the translations to LLVM IR required by GPU passes. More...
static void	registerAllFromLLVMIRTranslations (DialectRegistry &registry)
	Registers all dialects that can be translated from LLVM IR and the corresponding translation interfaces. More...
void	registerAMXDialectTranslation (DialectRegistry &registry)
	Register the AMX dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerAMXDialectTranslation (MLIRContext &context)
	Register the AMX dialect and the translation from it in the registry associated with the given context. More...
void	registerArmNeonDialectTranslation (DialectRegistry &registry)
	Register the ArmNeon dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerArmNeonDialectTranslation (MLIRContext &context)
	Register the ArmNeon dialect and the translation from it in the registry associated with the given context. More...
void	registerArmSMEDialectTranslation (DialectRegistry &registry)
	Register the ArmSME dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerArmSMEDialectTranslation (MLIRContext &context)
	Register the ArmSME dialect and the translation from it in the registry associated with the given context. More...
void	registerArmSVEDialectTranslation (DialectRegistry &registry)
	Register the ArmSVE dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerArmSVEDialectTranslation (MLIRContext &context)
	Register the ArmSVE dialect and the translation from it in the registry associated with the given context. More...
void	registerBuiltinDialectTranslation (DialectRegistry &registry)
	Register the translation from the builtin dialect to the LLVM IR in the given registry. More...
void	registerBuiltinDialectTranslation (MLIRContext &context)
	Register the translation from the builtin dialect in the registry associated with the given context. More...
void	registerGPUDialectTranslation (DialectRegistry &registry)
	Register the GPU dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerGPUDialectTranslation (MLIRContext &context)
	Register the GPU dialect and the translation from it in the registry associated with the given context. More...
void	registerLLVMDialectImport (DialectRegistry &registry)
	Registers the LLVM dialect and its import from LLVM IR in the given registry. More...
void	registerLLVMDialectImport (MLIRContext &context)
	Registers the LLVM dialect and its import from LLVM IR with the given context. More...
void	registerLLVMDialectTranslation (DialectRegistry &registry)
	Register the LLVM dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerLLVMDialectTranslation (MLIRContext &context)
	Register the LLVM dialect and the translation from it in the registry associated with the given context. More...
void	registerNVVMDialectImport (DialectRegistry &registry)
	Registers the NVVM dialect and its import from LLVM IR in the given registry. More...
void	registerNVVMDialectImport (MLIRContext &context)
	Registers the NVVM dialect and its import from LLVM IR with the given context. More...
void	registerNVVMDialectTranslation (DialectRegistry &registry)
	Register the NVVM dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerNVVMDialectTranslation (MLIRContext &context)
	Register the NVVM dialect and the translation from it in the registry associated with the given context. More...
void	registerOpenACCDialectTranslation (DialectRegistry &registry)
	Register the OpenACC dialect and the translation to the LLVM IR in the given registry;. More...
void	registerOpenACCDialectTranslation (MLIRContext &context)
	Register the OpenACC dialect and the translation in the registry associated with the given context. More...
void	registerOpenMPDialectTranslation (DialectRegistry &registry)
	Register the OpenMP dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerOpenMPDialectTranslation (MLIRContext &context)
	Register the OpenMP dialect and the translation from it in the registry associated with the given context. More...
void	registerROCDLDialectTranslation (DialectRegistry &registry)
	Register the ROCDL dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerROCDLDialectTranslation (MLIRContext &context)
	Register the ROCDL dialect and the translation from it in the registry associated with the given context. More...
void	registerSPIRVDialectTranslation (DialectRegistry &registry)
	Register the SPIR-V dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerSPIRVDialectTranslation (MLIRContext &context)
	Register the SPIR-V dialect and the translation from it in the registry associated with the given context. More...
void	registerVCIXDialectTranslation (DialectRegistry &registry)
	Register the VCIX dialect and the translation from it to the LLVM IR in the given registry. More...
void	registerVCIXDialectTranslation (MLIRContext &context)
	Register the VCIX dialect and the translation from it in the registry associated with the given context. More...
void	registerX86VectorDialectTranslation (DialectRegistry &registry)
	Register the X86Vector dialect and the translation from it to the LLVM IR in the given registry;. More...
void	registerX86VectorDialectTranslation (MLIRContext &context)
	Register the X86Vector dialect and the translation from it in the registry associated with the given context. More...
std::unique_ptr< llvm::Module >	translateModuleToLLVMIR (Operation *module, llvm::LLVMContext &llvmContext, llvm::StringRef name="LLVMDialectModule", bool disableVerification=false)
	Translates a given LLVM dialect module into an LLVM IR module living in the given context. More...
OwningOpRef< ModuleOp >	translateLLVMIRToModule (std::unique_ptr< llvm::Module > llvmModule, MLIRContext *context, bool emitExpensiveWarnings=true, bool dropDICompositeTypeElements=false)
	Translates the LLVM module into an MLIR module living in the given context. More...
DataLayoutSpecInterface	translateDataLayout (const llvm::DataLayout &dataLayout, MLIRContext *context)
	Translate the given LLVM data layout into an MLIR equivalent using the DLTI dialect. More...
llvm::LogicalResult	MlirLspServerMain (int argc, char **argv, DialectRegistry &registry)
	Implementation for tools like mlir-lsp-server. More...
std::pair< std::string, std::string >	registerAndParseCLIOptions (int argc, char **argv, llvm::StringRef toolName, DialectRegistry &registry)
	Register and parse command line options. More...
LogicalResult	MlirOptMain (llvm::raw_ostream &outputStream, std::unique_ptr< llvm::MemoryBuffer > buffer, DialectRegistry &registry, const MlirOptMainConfig &config)
	Perform the core processing behind mlir-opt. More...
LogicalResult	MlirOptMain (int argc, char **argv, llvm::StringRef toolName, DialectRegistry &registry)
	Implementation for tools like mlir-opt. More...
LogicalResult	MlirOptMain (int argc, char **argv, llvm::StringRef inputFilename, llvm::StringRef outputFilename, DialectRegistry &registry)
	Implementation for tools like mlir-opt. More...
int	asMainReturnCode (LogicalResult r)
	Helper wrapper to return the result of MlirOptMain directly from main. More...
llvm::LogicalResult	MlirPdllLspServerMain (int argc, char **argv)
	Implementation for tools like mlir-pdll-lsp-server. More...
LogicalResult	mlirQueryMain (int argc, char **argv, MLIRContext &context, const mlir::query::matcher::Registry &matcherRegistry)
LogicalResult	mlirReduceMain (int argc, char **argv, MLIRContext &context)
int	MlirTblgenMain (int argc, char **argv)
	Main Program for tools like 'mlir-tblgen' with custom backends. More...
LogicalResult	mlirTranslateMain (int argc, char **argv, StringRef toolName)
	Translate to/from an MLIR module from/to an external representation (e.g. More...
void	registerTranslationCLOptions ()
	Register command-line options used by the translation registry. More...
OwningOpRef< Operation * >	parseSourceFileForTool (const std::shared_ptr< llvm::SourceMgr > &sourceMgr, const ParserConfig &config, bool insertImplicitModule)
	This parses the file specified by the indicated SourceMgr. More...
llvm::LogicalResult	TableGenLspServerMain (int argc, char **argv)
	Implementation for tools like tblgen-lsp-server. More...
FailureOr< bool >	transformCFGToSCF (Region &region, CFGToSCFInterface &interface, DominanceInfo &dominanceInfo)
	Transformation lifting any dialect implementing control flow graph operations to a dialect implementing structured control flow operations. More...
void	populateCommutativityUtilsPatterns (RewritePatternSet &patterns)
	Populates the commutativity utility patterns. More...
size_t	controlFlowSink (RegionRange regions, DominanceInfo &domInfo, function_ref< bool(Operation *, Region *)> shouldMoveIntoRegion, function_ref< void(Operation *, Region *)> moveIntoRegion)
	Given a list of regions, perform control flow sinking on them. More...
void	getSinglyExecutedRegionsToSink (RegionBranchOpInterface branch, SmallVectorImpl< Region * > &regions)
	Populates regions with regions of the provided region branch op that are executed at most once at that are reachable given the current operands of the op. More...
void	eliminateCommonSubExpressions (RewriterBase &rewriter, DominanceInfo &domInfo, Operation *op, bool *changed=nullptr)
	Eliminate common subexpressions within the given operation. More...
FailureOr< Operation * >	convertOpResultTypes (Operation *op, ValueRange operands, const TypeConverter &converter, ConversionPatternRewriter &rewriter)
	Generic utility to convert op result types according to type converter without knowing exact op type. More...
void	populateFunctionOpInterfaceTypeConversionPattern (StringRef functionLikeOpName, RewritePatternSet &patterns, const TypeConverter &converter)
	Add a pattern to the given pattern list to convert the signature of a FunctionOpInterface op with the given type converter. More...
template<typename FuncOpT >
void	populateFunctionOpInterfaceTypeConversionPattern (RewritePatternSet &patterns, const TypeConverter &converter)
void	populateAnyFunctionOpInterfaceTypeConversionPattern (RewritePatternSet &patterns, const TypeConverter &converter)
void	registerConversionPDLFunctions (RewritePatternSet &patterns)
	Register the dialect conversion PDL functions with the given pattern set. More...
void	reconcileUnrealizedCasts (ArrayRef< UnrealizedConversionCastOp > castOps, SmallVectorImpl< UnrealizedConversionCastOp > *remainingCastOps=nullptr)
	Try to reconcile all given UnrealizedConversionCastOps and store the left-over ops in remainingCastOps (if provided). More...
LogicalResult	applyPartialConversion (ArrayRef< Operation * > ops, const ConversionTarget &target, const FrozenRewritePatternSet &patterns, ConversionConfig config=ConversionConfig())
	Below we define several entry points for operation conversion. More...
LogicalResult	applyPartialConversion (Operation *op, const ConversionTarget &target, const FrozenRewritePatternSet &patterns, ConversionConfig config=ConversionConfig())
LogicalResult	applyFullConversion (ArrayRef< Operation * > ops, const ConversionTarget &target, const FrozenRewritePatternSet &patterns, ConversionConfig config=ConversionConfig())
	Apply a complete conversion on the given operations, and all nested operations. More...
LogicalResult	applyFullConversion (Operation *op, const ConversionTarget &target, const FrozenRewritePatternSet &patterns, ConversionConfig config=ConversionConfig())
LogicalResult	applyAnalysisConversion (ArrayRef< Operation * > ops, ConversionTarget &target, const FrozenRewritePatternSet &patterns, ConversionConfig config=ConversionConfig())
	Apply an analysis conversion on the given operations, and all nested operations. More...
LogicalResult	applyAnalysisConversion (Operation *op, ConversionTarget &target, const FrozenRewritePatternSet &patterns, ConversionConfig config=ConversionConfig())
LogicalResult	applyPatternsGreedily (Region &region, const FrozenRewritePatternSet &patterns, GreedyRewriteConfig config=GreedyRewriteConfig(), bool *changed=nullptr)
	Rewrite ops in the given region, which must be isolated from above, by repeatedly applying the highest benefit patterns in a greedy worklist driven manner until a fixpoint is reached. More...
LogicalResult	applyPatternsAndFoldGreedily (Region &region, const FrozenRewritePatternSet &patterns, GreedyRewriteConfig config=GreedyRewriteConfig(), bool *changed=nullptr)
	Same as applyPatternsAndGreedily above with folding. More...
LogicalResult	applyPatternsGreedily (Operation *op, const FrozenRewritePatternSet &patterns, GreedyRewriteConfig config=GreedyRewriteConfig(), bool *changed=nullptr)
	Rewrite ops nested under the given operation, which must be isolated from above, by repeatedly applying the highest benefit patterns in a greedy worklist driven manner until a fixpoint is reached. More...
LogicalResult	applyPatternsAndFoldGreedily (Operation *op, const FrozenRewritePatternSet &patterns, GreedyRewriteConfig config=GreedyRewriteConfig(), bool *changed=nullptr)
	Same as applyPatternsGreedily above with folding. More...
LogicalResult	applyOpPatternsGreedily (ArrayRef< Operation * > ops, const FrozenRewritePatternSet &patterns, GreedyRewriteConfig config=GreedyRewriteConfig(), bool *changed=nullptr, bool *allErased=nullptr)
	Rewrite the specified ops by repeatedly applying the highest benefit patterns in a greedy worklist driven manner until a fixpoint is reached. More...
	LLVM_DEPRECATED ("Use applyOpPatternsGreedily() instead", "applyOpPatternsGreedily") inline LogicalResult applyOpPatternsAndFold(ArrayRef< Operation * > ops
	Same as applyOpPatternsGreedily with folding. More...
LogicalResult	inlineRegion (InlinerInterface &interface, Region *src, Operation *inlinePoint, IRMapping &mapper, ValueRange resultsToReplace, TypeRange regionResultTypes, std::optional< Location > inlineLoc=std::nullopt, bool shouldCloneInlinedRegion=true)
	This function inlines a region, 'src', into another. More...
LogicalResult	inlineRegion (InlinerInterface &interface, Region *src, Block *inlineBlock, Block::iterator inlinePoint, IRMapping &mapper, ValueRange resultsToReplace, TypeRange regionResultTypes, std::optional< Location > inlineLoc=std::nullopt, bool shouldCloneInlinedRegion=true)
LogicalResult	inlineRegion (InlinerInterface &interface, Region *src, Operation *inlinePoint, ValueRange inlinedOperands, ValueRange resultsToReplace, std::optional< Location > inlineLoc=std::nullopt, bool shouldCloneInlinedRegion=true)
	This function is an overload of the above 'inlineRegion' that allows for providing the set of operands ('inlinedOperands') that should be used in-favor of the region arguments when inlining. More...
LogicalResult	inlineRegion (InlinerInterface &interface, Region *src, Block *inlineBlock, Block::iterator inlinePoint, ValueRange inlinedOperands, ValueRange resultsToReplace, std::optional< Location > inlineLoc=std::nullopt, bool shouldCloneInlinedRegion=true)
LogicalResult	inlineCall (InlinerInterface &interface, CallOpInterface call, CallableOpInterface callable, Region *src, bool shouldCloneInlinedRegion=true)
	This function inlines a given region, 'src', of a callable operation, 'callable', into the location defined by the given call operation. More...
void	generateLocationsFromIR (raw_ostream &os, StringRef fileName, Operation *op, OpPrintingFlags flags)
	This function generates new locations from the given IR by snapshotting the IR to the given stream, and using the printed locations within that stream. More...
LogicalResult	generateLocationsFromIR (StringRef fileName, Operation *op, OpPrintingFlags flags)
	This function generates new locations from the given IR by snapshotting the IR to the given file, and using the printed locations within that file. More...
void	generateLocationsFromIR (raw_ostream &os, StringRef fileName, StringRef tag, Operation *op, OpPrintingFlags flags)
	This function generates new locations from the given IR by snapshotting the IR to the given stream, and using the printed locations within that stream. More...
LogicalResult	generateLocationsFromIR (StringRef fileName, StringRef tag, Operation *op, OpPrintingFlags flags)
	This function generates new locations from the given IR by snapshotting the IR to the given file, and using the printed locations within that file. More...
std::unique_ptr< Pass >	createLocationSnapshotPass (OpPrintingFlags flags, StringRef fileName="", StringRef tag="")
	Create a pass to generate new locations by snapshotting the IR to the given file, and using the printed locations within that file. More...
std::unique_ptr< Pass >	createLocationSnapshotPass ()
	Overload utilizing pass options for initialization. More...
size_t	moveLoopInvariantCode (ArrayRef< Region * > regions, function_ref< bool(Value, Region *)> isDefinedOutsideRegion, function_ref< bool(Operation *, Region *)> shouldMoveOutOfRegion, function_ref< void(Operation *, Region *)> moveOutOfRegion)
	Given a list of regions, perform loop-invariant code motion. More...
size_t	moveLoopInvariantCode (LoopLikeOpInterface loopLike)
	Move side-effect free loop invariant code out of a loop-like op using methods provided by the interface. More...
LoopLikeOpInterface	hoistLoopInvariantSubsets (RewriterBase &rewriter, LoopLikeOpInterface loopLike)
	Hoist loop-invariant tensor subsets (subset extraction and subset insertion ops) from loop-like ops. More...
LogicalResult	tryToPromoteMemorySlots (ArrayRef< PromotableAllocationOpInterface > allocators, OpBuilder &builder, const DataLayout &dataLayout, DominanceInfo &dominance, Mem2RegStatistics statistics={})
	Attempts to promote the memory slots of the provided allocators. More...
LogicalResult	applyPartialOneToNConversion (Operation *op, TypeConverter &typeConverter, const FrozenRewritePatternSet &patterns)
	Applies the given set of patterns recursively on the given op and adds user materializations where necessary. More...
void	populateOneToNFunctionOpInterfaceTypeConversionPattern (StringRef functionLikeOpName, const TypeConverter &converter, RewritePatternSet &patterns)
	Add a pattern to the given pattern list to convert the signature of a FunctionOpInterface op with the given type converter. More...
template<typename FuncOpT >
void	populateOneToNFunctionOpInterfaceTypeConversionPattern (const TypeConverter &converter, RewritePatternSet &patterns)
std::unique_ptr< Pass >	createCanonicalizerPass ()
	Creates an instance of the Canonicalizer pass, configured with default settings (which can be overridden by pass options on the command line). More...
std::unique_ptr< Pass >	createCanonicalizerPass (const GreedyRewriteConfig &config, ArrayRef< std::string > disabledPatterns=std::nullopt, ArrayRef< std::string > enabledPatterns=std::nullopt)
	Creates an instance of the Canonicalizer pass with the specified config. More...
std::unique_ptr< Pass >	createControlFlowSinkPass ()
	Creates a pass to perform control-flow sinking. More...
std::unique_ptr< Pass >	createCSEPass ()
	Creates a pass to perform common sub expression elimination. More...
std::unique_ptr< Pass >	createPrintIRPass (const PrintIRPassOptions &={})
	Creates a pass to print IR on the debug stream. More...
std::unique_ptr< Pass >	createGenerateRuntimeVerificationPass ()
	Creates a pass that generates IR to verify ops at runtime. More...
std::unique_ptr< Pass >	createLoopInvariantCodeMotionPass ()
	Creates a loop invariant code motion pass that hoists loop invariant instructions out of the loop. More...
std::unique_ptr< Pass >	createLoopInvariantSubsetHoistingPass ()
	Creates a pass that hoists loop-invariant subset ops. More...
std::unique_ptr< Pass >	createStripDebugInfoPass ()
	Creates a pass to strip debug information from a function. More...
std::unique_ptr< Pass >	createPrintOpStatsPass (raw_ostream &os=llvm::errs())
	Creates a pass which prints the list of ops and the number of occurrences in the module. More...
std::unique_ptr< Pass >	createPrintOpStatsPass (raw_ostream &os, bool printAsJSON)
	Creates a pass which prints the list of ops and the number of occurrences in the module with the output format option. More...
std::unique_ptr< Pass >	createInlinerPass ()
	Creates a pass which inlines calls and callable operations as defined by the CallGraph. More...
std::unique_ptr< Pass >	createInlinerPass (llvm::StringMap< OpPassManager > opPipelines)
	Creates an instance of the inliner pass, and use the provided pass managers when optimizing callable operations with names matching the key type. More...
std::unique_ptr< Pass >	createInlinerPass (llvm::StringMap< OpPassManager > opPipelines, std::function< void(OpPassManager &)> defaultPipelineBuilder)
	Creates an instance of the inliner pass, and use the provided pass managers when optimizing callable operations with names matching the key type. More...
std::unique_ptr< Pass >	createRemoveDeadValuesPass ()
	Creates an optimization pass to remove dead values. More...
std::unique_ptr< Pass >	createSCCPPass ()
	Creates a pass which performs sparse conditional constant propagation over nested operations. More...
std::unique_ptr< Pass >	createSymbolDCEPass ()
	Creates a pass which delete symbol operations that are unreachable. More...
std::unique_ptr< Pass >	createSymbolPrivatizePass (ArrayRef< std::string > excludeSymbols={})
	Creates a pass which marks top-level symbol operations as private unless listed in excludeSymbols. More...
std::unique_ptr< Pass >	createTopologicalSortPass ()
	Creates a pass that recursively sorts nested regions without SSA dominance topologically such that, as much as possible, users of values appear after their producers. More...
std::unique_ptr< Pass >	createCompositeFixedPointPass (std::string name, llvm::function_ref< void(OpPassManager &)> populateFunc, int maxIterations=10)
	Create composite pass, which runs provided set of passes until fixed point or maximum number of iterations reached. More...
template<typename Range >
bool	areValuesDefinedAbove (Range values, Region &limit)
	Check if all values in the provided range are defined above the limit region. More...
void	replaceAllUsesInRegionWith (Value orig, Value replacement, Region &region)
	Replace all uses of orig within the given region with replacement. More...
void	visitUsedValuesDefinedAbove (Region &region, Region &limit, function_ref< void(OpOperand *)> callback)
	Calls callback for each use of a value within region or its descendants that was defined at the ancestors of the limit. More...
void	visitUsedValuesDefinedAbove (MutableArrayRef< Region > regions, function_ref< void(OpOperand *)> callback)
	Calls callback for each use of a value within any of the regions provided that was defined in one of the ancestors. More...
void	getUsedValuesDefinedAbove (Region &region, Region &limit, SetVector< Value > &values)
	Fill values with a list of values defined at the ancestors of the limit region and used within region or its descendants. More...
void	getUsedValuesDefinedAbove (MutableArrayRef< Region > regions, SetVector< Value > &values)
	Fill values with a list of values used within any of the regions provided but defined in one of the ancestors. More...
SmallVector< Value >	makeRegionIsolatedFromAbove (RewriterBase &rewriter, Region &region, llvm::function_ref< bool(Operation *)> cloneOperationIntoRegion=[](Operation *) { return false;})
	Make a region isolated from above. More...
LogicalResult	simplifyRegions (RewriterBase &rewriter, MutableArrayRef< Region > regions, bool mergeBlocks=true)
	Run a set of structural simplifications over the given regions. More...
LogicalResult	eraseUnreachableBlocks (RewriterBase &rewriter, MutableArrayRef< Region > regions)
	Erase the unreachable blocks within the provided regions. More...
LogicalResult	runRegionDCE (RewriterBase &rewriter, MutableArrayRef< Region > regions)
	This function returns success if any operations or arguments were deleted, failure otherwise. More...
LogicalResult	tryToDestructureMemorySlots (ArrayRef< DestructurableAllocationOpInterface > allocators, OpBuilder &builder, const DataLayout &dataLayout, SROAStatistics statistics={})
	Attempts to destructure the slots of destructurable allocators. More...
std::unique_ptr< Pass >	createPrintOpGraphPass (raw_ostream &os=llvm::errs())
	Creates a pass to print op graphs. More...
void	walkAndApplyPatterns (Operation *op, const FrozenRewritePatternSet &patterns, RewriterBase::Listener *listener=nullptr)
	A fast walk-based pattern rewrite driver. More...
static bool	createElementwiseOp (ConversionPatternRewriter &builder, gpu::SubgroupMmaElementwiseOp op, Type coopType, ValueRange operands)
	Creates a SPIR-V op to replace the given GPU subgroup mma elementwise op when the elementwise op directly supports with cooperative matrix type. More...
bool	allOperandsHaveSameCoopMatrixType (ValueRange operands)
static Attribute	convertToAttribute (MLIRContext *ctx, IntegerOverflowFlags flags)
static LogicalResult	convertFromAttribute (IntegerOverflowFlags &flags, Attribute attr, function_ref< InFlightDiagnostic()> emitError)
template<typename K , typename V >
static SmallVector< V >	getValuesSortedByKeyImpl (ArrayRef< K > keys, ArrayRef< V > values, llvm::function_ref< bool(K, K)> compare)
	Helper to sort values according to matching keys. More...
void	registerTestRoundtripSPIRV ()
void	registerTestRoundtripDebugSPIRV ()

Variables
static constexpr unsigned	kDeriveIndexBitwidthFromDataLayout = 0
	Value to pass as bitwidth for the index type when the converter is expected to derive the bitwidth from the LLVM data layout. More...
template<typename... Ts>
constexpr bool	has_sub_attr_or_type_v
const char *const	kDefaultSplitMarker = "// -----"
const FrozenRewritePatternSet &	patterns
const FrozenRewritePatternSet GreedyRewriteConfig	config = GreedyRewriteConfig()
const FrozenRewritePatternSet GreedyRewriteConfig bool *	changed = nullptr

Detailed Description

Include the generated interface declarations.

Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.

The pass expands memref operations that modify the metadata of a memref (sizes, offset, strides) into a sequence of easier to analyze constructs.

This header declares functions that assist transformations in the MemRef dialect.

In particular, this pass transforms operations into explicit sequence of operations that model the effect of this operation on the different metadata. This pass uses affine constructs to materialize these effects.

See https://llvm.org/LICENSE.txt for license information. SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

Typedef Documentation

AllocFunType

using mlir::AllocFunType = typedef llvm::function_ref<void *(size_t)>

Definition at line 37 of file MemRefUtils.h.

AttributeStorageAllocator

using mlir::AttributeStorageAllocator = typedef StorageUniquer::StorageAllocator

Definition at line 207 of file AttributeSupport.h.

AttrSubElementReplacements

using mlir::AttrSubElementReplacements = typedef AttrTypeSubElementReplacements<Attribute>

Definition at line 373 of file AttrTypeSubElements.h.

ChunkBufferHandler

using mlir::ChunkBufferHandler = typedef function_ref<LogicalResult( std::unique_ptr<llvm::MemoryBuffer> chunkBuffer, raw_ostream &os)>

Definition at line 27 of file ToolUtilities.h.

DataLayoutEntryKey

using mlir::DataLayoutEntryKey = typedef llvm::PointerUnion<Type, StringAttr>

Definition at line 30 of file DataLayoutInterfaces.h.

DataLayoutEntryList

using mlir::DataLayoutEntryList = typedef llvm::SmallVector<DataLayoutEntryInterface, 4>

Definition at line 33 of file DataLayoutInterfaces.h.

DataLayoutEntryListRef

using mlir::DataLayoutEntryListRef = typedef llvm::ArrayRef<DataLayoutEntryInterface>

Definition at line 34 of file DataLayoutInterfaces.h.

DefaultAttributeStorage

using mlir::DefaultAttributeStorage = typedef AttributeStorage

Default storage type for attributes that require no additional initialization or storage.

Definition at line 199 of file AttributeSupport.h.

DefaultTypeStorage

using mlir::DefaultTypeStorage = typedef TypeStorage

Default storage type for types that require no additional initialization or storage.

Definition at line 194 of file TypeSupport.h.

DenseBoolArrayAttr

using mlir::DenseBoolArrayAttr = typedef detail::DenseArrayAttrImpl<bool>

Definition at line 765 of file BuiltinAttributes.h.

DenseBoolResourceElementsAttr

using mlir::DenseBoolResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<bool>

Definition at line 815 of file BuiltinAttributes.h.

DenseF32ArrayAttr

using mlir::DenseF32ArrayAttr = typedef detail::DenseArrayAttrImpl<float>

Definition at line 770 of file BuiltinAttributes.h.

DenseF32ResourceElementsAttr

using mlir::DenseF32ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<float>

Definition at line 833 of file BuiltinAttributes.h.

DenseF64ArrayAttr

using mlir::DenseF64ArrayAttr = typedef detail::DenseArrayAttrImpl<double>

Definition at line 771 of file BuiltinAttributes.h.

DenseF64ResourceElementsAttr

using mlir::DenseF64ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<double>

Definition at line 835 of file BuiltinAttributes.h.

DenseI16ArrayAttr

using mlir::DenseI16ArrayAttr = typedef detail::DenseArrayAttrImpl<int16_t>

Definition at line 767 of file BuiltinAttributes.h.

DenseI16ResourceElementsAttr

using mlir::DenseI16ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<int16_t>

Definition at line 819 of file BuiltinAttributes.h.

DenseI32ArrayAttr

using mlir::DenseI32ArrayAttr = typedef detail::DenseArrayAttrImpl<int32_t>

Definition at line 768 of file BuiltinAttributes.h.

DenseI32ResourceElementsAttr

using mlir::DenseI32ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<int32_t>

Definition at line 821 of file BuiltinAttributes.h.

DenseI64ArrayAttr

using mlir::DenseI64ArrayAttr = typedef detail::DenseArrayAttrImpl<int64_t>

Definition at line 769 of file BuiltinAttributes.h.

DenseI64ResourceElementsAttr

using mlir::DenseI64ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<int64_t>

Definition at line 823 of file BuiltinAttributes.h.

DenseI8ArrayAttr

using mlir::DenseI8ArrayAttr = typedef detail::DenseArrayAttrImpl<int8_t>

Definition at line 766 of file BuiltinAttributes.h.

DenseI8ResourceElementsAttr

using mlir::DenseI8ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<int8_t>

Definition at line 817 of file BuiltinAttributes.h.

DenseMap

template<typename KeyT , typename ValueT , typename KeyInfoT = DenseMapInfo<KeyT>, typename BucketT = llvm::detail::DenseMapPair<KeyT, ValueT>>

using mlir::DenseMap = typedef llvm::DenseMap<KeyT, ValueT, KeyInfoT, BucketT>

Definition at line 126 of file LLVM.h.

DenseMapInfo

template<typename T , typename Enable = void>

DenseMapInfo< mlir::RegisteredOperationName >

Definition at line 122 of file LLVM.h.

DenseResourceElementsHandle

using mlir::DenseResourceElementsHandle = typedef DialectResourceBlobHandle<BuiltinDialect>

Definition at line 702 of file BuiltinAttributes.h.

DenseSet

template<typename ValueT , typename ValueInfoT = DenseMapInfo<ValueT>>

using mlir::DenseSet = typedef llvm::DenseSet<ValueT, ValueInfoT>

Definition at line 128 of file LLVM.h.

DenseUI16ResourceElementsAttr

using mlir::DenseUI16ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<uint16_t>

Definition at line 827 of file BuiltinAttributes.h.

DenseUI32ResourceElementsAttr

using mlir::DenseUI32ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<uint32_t>

Definition at line 829 of file BuiltinAttributes.h.

DenseUI64ResourceElementsAttr

using mlir::DenseUI64ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<uint64_t>

Definition at line 831 of file BuiltinAttributes.h.

DenseUI8ResourceElementsAttr

using mlir::DenseUI8ResourceElementsAttr = typedef detail::DenseResourceElementsAttrBase<uint8_t>

Definition at line 825 of file BuiltinAttributes.h.

DialectAllocatorFunction

using mlir::DialectAllocatorFunction = typedef std::function<Dialect *(MLIRContext *)>

Definition at line 27 of file DialectRegistry.h.

DialectAllocatorFunctionRef

using mlir::DialectAllocatorFunctionRef = typedef function_ref<Dialect *(MLIRContext *)>

Definition at line 28 of file DialectRegistry.h.

DialectRegistrationFunction

using mlir::DialectRegistrationFunction = typedef std::function<void(DialectRegistry &)>

Interface of the function that adds all dialects and dialect extensions used for the translation to the given DialectRegistry.

Definition at line 57 of file Translation.h.

DominanceInfoNode

using mlir::DominanceInfoNode = typedef llvm::DomTreeNodeBase<Block>

Definition at line 30 of file Dominance.h.

DynamicDialectPopulationFunction

using mlir::DynamicDialectPopulationFunction = typedef std::function<void(MLIRContext *, DynamicDialect *)>

Definition at line 29 of file DialectRegistry.h.

ElementWiseVisitor

template<typename T >

using mlir::ElementWiseVisitor = typedef llvm::function_ref<void(T &ptr, ArrayRef<int64_t>)>

Convenient callback to "visit" a memref element by element.

This takes a reference to an individual element as well as the coordinates. It can be used in conjuction with a StridedMemrefIterator.

Definition at line 130 of file MemRefUtils.h.

ForwardSliceOptions

using mlir::ForwardSliceOptions = typedef SliceOptions

Definition at line 57 of file SliceAnalysis.h.

function_ref

template<typename Fn >

using mlir::function_ref = typedef llvm::function_ref<Fn>

Definition at line 152 of file LLVM.h.

GenFunction

using mlir::GenFunction = typedef std::function<bool(const llvm::RecordKeeper &records, raw_ostream &os)>

Generator function to invoke.

Definition at line 24 of file GenInfo.h.

Loops

using mlir::Loops = typedef SmallVector<scf::ForOp, 8>

Tile a nest of standard for loops rooted at rootForOp by finding such parametric tile sizes that the outer loops have a fixed number of iterations as defined in sizes.

Definition at line 151 of file Utils.h.

LoweringCallback

using mlir::LoweringCallback = typedef std::function<std::unique_ptr<llvm::Module>( Operation *, llvm::LLVMContext &, StringRef)>

Definition at line 48 of file GPUCommonPass.h.

MemorySpaceMapping

using mlir::MemorySpaceMapping = typedef std::function<unsigned(gpu::AddressSpace)>

A function that maps a MemorySpace enum to a target-specific integer value.

Definition at line 70 of file GPUCommonPass.h.

MemrefValue

using mlir::MemrefValue = typedef TypedValue<BaseMemRefType>

A value with a memref type.

Definition at line 26 of file MemRefUtils.h.

NewYieldValuesFn

using mlir::NewYieldValuesFn = typedef std::function<SmallVector<Value>( OpBuilder &b, Location loc, ArrayRef<BlockArgument> newBbArgs)>

A function that returns the additional yielded values during replaceWithAdditionalYields.

newBbArgs are the newly added region iter_args. This function should return as many values as there are block arguments in newBbArgs.

Definition at line 25 of file LoopLikeInterface.h.

OpAsmSetBlockNameFn

using mlir::OpAsmSetBlockNameFn = typedef function_ref<void(Block *, StringRef)>

A functor used to set the name of blocks in regions directly nested under an operation.

Definition at line 1736 of file OpImplementation.h.

OpAsmSetValueNameFn

using mlir::OpAsmSetValueNameFn = typedef function_ref<void(Value, StringRef)>

A functor used to set the name of the start of a result group of an operation.

See 'getAsmResultNames' below for more details.

Definition at line 1732 of file OpImplementation.h.

OperandElementTypeRange

using mlir::OperandElementTypeRange = typedef iterator_range<OperandElementTypeIterator>

Definition at line 97 of file TypeUtilities.h.

PassAllocatorFunction

using mlir::PassAllocatorFunction = typedef std::function<std::unique_ptr<Pass>()>

Definition at line 41 of file PassRegistry.h.

PassPipelineFn

using mlir::PassPipelineFn = typedef llvm::function_ref<LogicalResult(PassManager &pm)>

This defines the function type used to setup the pass manager.

This can be used to pass in a callback to setup a default pass pipeline to be applied on the loaded IR.

Definition at line 300 of file MlirOptMain.h.

PassRegistryFunction

using mlir::PassRegistryFunction = typedef std::function<LogicalResult( OpPassManager &, StringRef options, function_ref<LogicalResult(const Twine &)> errorHandler)>

A registry function that adds passes to the given pass manager.

This should also parse options and return success() if parsing succeeded. errorHandler is a functor used to emit errors during parsing. parameter corresponds to the raw location within the pipeline string. This should always return failure.

Definition at line 38 of file PassRegistry.h.

ReassociationExprs

using mlir::ReassociationExprs = typedef SmallVector<AffineExpr, 2>

Definition at line 28 of file ReshapeOpsUtils.h.

ReassociationIndices

typedef SmallVector< int64_t, 2 > mlir::ReassociationIndices

Definition at line 27 of file Utils.h.

ReassociationIndicesRef

using mlir::ReassociationIndicesRef = typedef ArrayRef<int64_t>

Definition at line 27 of file ReshapeOpsUtils.h.

ReifiedRankedShapedTypeDims

using mlir::ReifiedRankedShapedTypeDims = typedef SmallVector<SmallVector<OpFoldResult> >

Definition at line 29 of file InferTypeOpInterface.h.

ReproducerStreamFactory

using mlir::ReproducerStreamFactory = typedef std::function<std::unique_ptr<ReproducerStream>(std::string &error)>

Method type for constructing ReproducerStream.

Definition at line 221 of file PassManager.h.

ResultElementTypeRange

using mlir::ResultElementTypeRange = typedef iterator_range<ResultElementTypeIterator>

Definition at line 110 of file TypeUtilities.h.

SetIntLatticeFn

using mlir::SetIntLatticeFn = typedef llvm::function_ref<void(Value, const IntegerValueRange &)>

Similar to SetIntRangeFn, but operating on IntegerValueRange lattice values.

This is the setResultRanges callback for the IntegerValueRange based interface method.

Definition at line 167 of file InferIntRangeInterface.h.

SetIntRangeFn

using mlir::SetIntRangeFn = typedef llvm::function_ref<void(Value, const ConstantIntRanges &)>

The type of the setResultRanges callback provided to ops implementing InferIntRangeInterface.

It should be called once for each integer result value and be passed the ConstantIntRanges corresponding to that value.

Definition at line 161 of file InferIntRangeInterface.h.

SetVector

template<typename T , typename Vector = llvm::SmallVector<T, 0>, typename Set = DenseSet<T>, unsigned N = 0>

using mlir::SetVector = typedef llvm::SetVector<T, Vector, Set, N>

Definition at line 131 of file LLVM.h.

StringSet

template<typename AllocatorTy = llvm::MallocAllocator>

using mlir::StringSet = typedef llvm::StringSet<AllocatorTy>

Definition at line 133 of file LLVM.h.

StringSwitch

template<typename T , typename R = T>

using mlir::StringSwitch = typedef llvm::StringSwitch<T, R>

Definition at line 141 of file LLVM.h.

TargetDeviceSpecEntry

using mlir::TargetDeviceSpecEntry = typedef std::pair<StringAttr, TargetDeviceSpecInterface>

Definition at line 36 of file DataLayoutInterfaces.h.

TargetDeviceSpecListRef

using mlir::TargetDeviceSpecListRef = typedef llvm::ArrayRef<TargetDeviceSpecInterface>

Definition at line 35 of file DataLayoutInterfaces.h.

TileLoops

using mlir::TileLoops = typedef std::pair<Loops, Loops>

Definition at line 152 of file Utils.h.

TransitiveFilter

using mlir::TransitiveFilter = typedef SliceOptions::TransitiveFilter

Definition at line 41 of file SliceAnalysis.h.

TranslateFromMLIRFunction

using mlir::TranslateFromMLIRFunction = typedef std::function<LogicalResult(Operation *, llvm::raw_ostream &output)>

Interface of the function that translates MLIR to a different format and outputs the result to a stream.

It is allowed to modify the operation.

Definition at line 43 of file Translation.h.

TranslateFunction

using mlir::TranslateFunction = typedef std::function<LogicalResult( const std::shared_ptr<llvm::SourceMgr> &sourceMgr, llvm::raw_ostream &output, MLIRContext *)>

Interface of the function that performs file-to-file translation involving MLIR.

The input file is held in the given MemoryBuffer; the output file should be written to the given raw_ostream. The implementation should create all MLIR constructs needed during the process inside the given context. This can be used for round-tripping external formats through the MLIR system.

Definition at line 51 of file Translation.h.

TranslateRawSourceMgrToMLIRFunction

using mlir::TranslateRawSourceMgrToMLIRFunction = typedef std::function<OwningOpRef<Operation *>(llvm::SourceMgr &sourceMgr, MLIRContext *)>

Definition at line 30 of file Translation.h.

TranslateSourceMgrToMLIRFunction

using mlir::TranslateSourceMgrToMLIRFunction = typedef std::function<OwningOpRef<Operation *>( const std::shared_ptr<llvm::SourceMgr> &sourceMgr, MLIRContext *)>

Interface of the function that translates the sources managed by sourceMgr to MLIR.

The source manager has at least one buffer. The implementation should create a new MLIR Operation in the given context and return a pointer to it, or a nullptr in case of any error.

Definition at line 28 of file Translation.h.

TranslateStringRefToMLIRFunction

using mlir::TranslateStringRefToMLIRFunction = typedef std::function<OwningOpRef<Operation *>(llvm::StringRef, MLIRContext *)>

Interface of the function that translates the given string to MLIR.

The implementation should create a new MLIR Operation in the given context. If source-related error reporting is required from within the function, use TranslateSourceMgrToMLIRFunction instead.

Definition at line 38 of file Translation.h.

TypedValue

template<typename Ty , typename Value = mlir::Value>

using mlir::TypedValue = typedef std::conditional_t<std::is_same_v<Ty, mlir::Type>, mlir::Value, detail::TypedValue<Ty> >

If Ty is mlir::Type this will select Value instead of having a wrapper around it.

This helps resolve ambiguous conversion issues.

Definition at line 497 of file Value.h.

TypeRangeRangeIterator

using mlir::TypeRangeRangeIterator = typedef llvm::mapped_iterator<llvm::iota_range<unsigned>::iterator, std::function<TypeRange(unsigned)> >

Definition at line 85 of file TypeRange.h.

TypeStorageAllocator

using mlir::TypeStorageAllocator = typedef StorageUniquer::StorageAllocator

This is a utility allocator used to allocate memory for instances of derived Types.

Definition at line 202 of file TypeSupport.h.

TypeSubElementReplacements

using mlir::TypeSubElementReplacements = typedef AttrTypeSubElementReplacements<Type>

Definition at line 374 of file AttrTypeSubElements.h.

TypeSwitch

template<typename T , typename ResultT = void>

using mlir::TypeSwitch = typedef llvm::TypeSwitch<T, ResultT>

Definition at line 144 of file LLVM.h.

ValueDimList

using mlir::ValueDimList = typedef SmallVector<std::pair<Value, std::optional<int64_t> >>

Definition at line 51 of file ValueBoundsOpInterface.h.

WalkCallback

using mlir::WalkCallback = typedef mlir::function_ref<WalkContinuation(mlir::Value)>

A callback that is invoked for each value encountered during the walk of the slice.

The callback takes the current value, and returns the walk continuation, which determines if the walk should proceed and if yes, with which values.

Definition at line 81 of file SliceWalk.h.

Enumeration Type Documentation

AffineExprKind

enum mlir::AffineExprKind

strong

Enumerator
Add
Mul	RHS of mul is always a constant or a symbolic expression.
Mod	RHS of mod is always a constant or a symbolic expression with a positive value.
FloorDiv	RHS of floordiv is always a constant or a symbolic expression.
CeilDiv	RHS of ceildiv is always a constant or a symbolic expression.
LAST_AFFINE_BINARY_OP	This is a marker for the last affine binary op. The range of binary op's is expected to be this element and earlier.
Constant	Constant integer.
DimId	Dimensional identifier.
SymbolId	Symbolic identifier.

Definition at line 40 of file AffineExpr.h.

AsmResourceEntryKind

enum mlir::AsmResourceEntryKind

strong

This enum represents the different kinds of resource values.

Enumerator
Blob	A blob of data with an accompanying alignment.
Bool	A boolean value.
String	A string value.

Definition at line 279 of file AsmState.h.

ChangeResult

enum mlir::ChangeResult

strong

A result type used to indicate if a change happened.

Boolean operations on ChangeResult behave as though Change is truth.

Enumerator
NoChange
Change

Definition at line 36 of file DataFlowFramework.h.

DeletionKind

enum mlir::DeletionKind

strong

Returned by operation promotion logic requesting the deletion of an operation.

Enumerator
Keep	Keep the operation after promotion.
Delete	Delete the operation after promotion.

Definition at line 35 of file MemorySlotInterfaces.h.

DiagnosticSeverity

enum mlir::DiagnosticSeverity

strong

Defines the different supported severity of a diagnostic.

Enumerator
Note
Warning
Error
Remark

Definition at line 40 of file Diagnostics.h.

GreedyRewriteStrictness

enum mlir::GreedyRewriteStrictness

strong

This enum controls which ops are put on the worklist during a greedy pattern rewrite.

Enumerator
AnyOp	No restrictions wrt. which ops are processed.
ExistingAndNewOps	Only pre-existing and newly created ops are processed.
ExistingOps	Only pre-existing ops are processed.

Definition at line 23 of file GreedyPatternRewriteDriver.h.

GreedySimplifyRegionLevel

enum mlir::GreedySimplifyRegionLevel

strong

Enumerator
Disabled	Disable region control-flow simplification.
Normal	Run the normal simplification (e.g. dead args elimination).
Aggressive	Run extra simplificiations (e.g. block merging), these can be more costly or have some tradeoffs associated.

Definition at line 32 of file GreedyPatternRewriteDriver.h.

HoistingKind

enum mlir::HoistingKind : uint8_t

strong

Enumerator
None
Loop
Block

Definition at line 21 of file AllocationOpInterface.h.

PassDisplayMode

enum mlir::PassDisplayMode

strong

An enum describing the different display modes for the information within the pass manager.

Enumerator
List
Pipeline

Definition at line 198 of file PassManager.h.

RegionKind

enum mlir::RegionKind

strong

The kinds of regions contained in an operation.

SSACFG regions require the SSA-Dominance property to hold. Graph regions do not require SSA-Dominance. If a registered operation does not implement RegionKindInterface, then any regions it contains are assumed to be SSACFG regions.

Enumerator
SSACFG
Graph

Definition at line 26 of file RegionKindInterface.h.

ReinterpretMapScope

enum mlir::ReinterpretMapScope

strong

Defines a scope for reinterpret map pass.

Enumerator
kAll
kGenericOnly
kExceptGeneric

Definition at line 45 of file Passes.h.

ReshapeOpKind

enum mlir::ReshapeOpKind

strong

Enumerator
kExpand
kCollapse

Definition at line 184 of file ReshapeOpsUtils.h.

SliceVerificationResult

enum mlir::SliceVerificationResult

strong

Enum that captures information related to verifier error conditions on slice insert/extract type of ops.

Enumerator
Success
RankTooLarge
SizeMismatch
ElemTypeMismatch
MemSpaceMismatch
LayoutMismatch

Definition at line 387 of file BuiltinTypes.h.

SparseEmitStrategy

enum mlir::SparseEmitStrategy

strong

Defines a scope for reinterpret map pass.

Enumerator
kFunctional
kSparseIterator
kDebugInterface

Definition at line 52 of file Passes.h.

SparseParallelizationStrategy

enum mlir::SparseParallelizationStrategy

strong

Defines a parallelization strategy.

Any independent loop is a candidate for parallelization. The loop is made parallel if (1) allowed by the strategy (e.g., AnyStorageOuterLoop considers either a dense or sparse outermost loop only), and (2) the generated code is an actual for-loop (and not a co-iterating while-loop).

Enumerator
kNone
kDenseOuterLoop
kAnyStorageOuterLoop
kDenseAnyLoop
kAnyStorageAnyLoop

Definition at line 36 of file Passes.h.

SPIRVSubByteTypeStorage

enum mlir::SPIRVSubByteTypeStorage

strong

How sub-byte values are storaged in memory.

Enumerator
Packed	Sub-byte values are tightly packed without any padding, e.g., 4xi2 -> i8.

Definition at line 34 of file SPIRVConversion.h.

TraversalMode

enum mlir::TraversalMode

Defines the traversal method options to be used in the reduction tree traversal.

Enumerator
SinglePath
Backtrack
MultiPath

Definition at line 36 of file ReductionNode.h.

VerbosityLevel

enum mlir::VerbosityLevel

strong

enum class to indicate the verbosity level of the diagnostic filter.

Enumerator
ErrorsOnly
ErrorsAndWarnings
ErrorsWarningsAndRemarks

Definition at line 35 of file MlirOptMain.h.

WalkOrder

enum mlir::WalkOrder

strong

Traversal order for region, block and operation walk utilities.

Enumerator
PreOrder
PostOrder

Definition at line 62 of file Visitors.h.

Function Documentation

addressSpaceToStorageClass()

spirv::StorageClass mlir::addressSpaceToStorageClass

(

gpu::AddressSpace

addressSpace

)

Definition at line 12 of file AttrToSPIRVConverter.cpp.

alignAffineMapWithValues()

AffineMap mlir::alignAffineMapWithValues	(	AffineMap	map,
		ValueRange	operands,
		ValueRange	dims,
		ValueRange	syms,
		SmallVector< Value > *	newSyms = nullptr
	)

Re-indexes the dimensions and symbols of an affine map with given operands values to align with dims and syms values.

Each dimension/symbol of the map, bound to an operand o, is replaced with dimension i, where i is the position of o within dims. If o is not in dims, replace it with symbol i, where i is the position of o within syms. If o is not in syms either, replace it with a new symbol.

Note: If a value appears multiple times as a dimension/symbol (or both), all corresponding dim/sym expressions are replaced with the first dimension bound to that value (or first symbol if no such dimension exists).

The resulting affine map has dims.size() many dimensions and at least syms.size() many symbols.

The SSA values of the symbols of the resulting map are optionally returned via newSyms. This is a concatenation of syms with the SSA values of the newly added symbols.

Note: As part of this re-indexing, dimensions may turn into symbols, or vice versa.

Definition at line 1260 of file FlatLinearValueConstraints.cpp.

References mlir::detail::enumerate(), mlir::Builder::getAffineDimExpr(), mlir::Builder::getAffineSymbolExpr(), mlir::AffineMap::getContext(), mlir::AffineMap::getNumDims(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumSymbols(), and mlir::AffineMap::replaceDimsAndSymbols().

Referenced by alignAndAddBound(), and mlir::FlatLinearValueConstraints::computeAlignedMap().

allOperandsHaveSameCoopMatrixType()

bool mlir::allOperandsHaveSameCoopMatrixType

(

ValueRange

operands

)

Definition at line 85 of file WmmaOpsToSPIRV.cpp.

References mlir::Value::getType(), and mlir::ValueRange::getType().

applyAnalysisConversion() [1/2]

LogicalResult mlir::applyAnalysisConversion	(	ArrayRef< Operation * >	ops,
		ConversionTarget &	target,
		const FrozenRewritePatternSet &	patterns,
		ConversionConfig	config = ConversionConfig()
	)

Apply an analysis conversion on the given operations, and all nested operations.

This method analyzes which operations would be successfully converted to the target if a conversion was applied. All operations that were found to be legalizable to the given 'target' are placed within the provided 'config.legalizableOps' set; note that no actual rewrites are applied to the operations on success. This method only returns failure if there are unreachable blocks in any of the regions nested within 'ops'.

Definition at line 3470 of file DialectConversion.cpp.

References mlir::Operation::clone(), config, mlir::Operation::erase(), findCommonAncestor(), mlir::IRMapping::getOperationMap(), mlir::IRMapping::lookup(), and patterns.

Referenced by applyAnalysisConversion().

applyAnalysisConversion() [2/2]

LogicalResult mlir::applyAnalysisConversion	(	Operation *	op,
		ConversionTarget &	target,
		const FrozenRewritePatternSet &	patterns,
		ConversionConfig	config = ConversionConfig()
	)

Definition at line 3509 of file DialectConversion.cpp.

References applyAnalysisConversion(), config, and patterns.

applyDefaultTimingManagerCLOptions()

void mlir::applyDefaultTimingManagerCLOptions

(

DefaultTimingManager &

tm

)

Apply any values that were registered with 'registerDefaultTimingManagerOptions' to a DefaultTimingManager.

Definition at line 619 of file Timing.cpp.

References options, mlir::DefaultTimingManager::setDisplayMode(), mlir::DefaultTimingManager::setEnabled(), and mlir::DefaultTimingManager::setOutput().

Referenced by applyDefaultTimingPassManagerCLOptions(), and performActions().

applyDefaultTimingPassManagerCLOptions()

void mlir::applyDefaultTimingPassManagerCLOptions

(

PassManager &

pm

)

Apply any values provided to the timing manager options that were registered with registerDefaultTimingManagerOptions.

This is a handy helper function if you do not want to bother creating your own timing manager and passing it to the pass manager.

Definition at line 170 of file PassManagerOptions.cpp.

References applyDefaultTimingManagerCLOptions(), and mlir::PassManager::enableTiming().

applyFullConversion() [1/2]

LogicalResult mlir::applyFullConversion	(	ArrayRef< Operation * >	ops,
		const ConversionTarget &	target,
		const FrozenRewritePatternSet &	patterns,
		ConversionConfig	config = ConversionConfig()
	)

Apply a complete conversion on the given operations, and all nested operations.

This method returns failure if the conversion of any operation fails, or if there are unreachable blocks in any of the regions nested within 'ops'.

Definition at line 3418 of file DialectConversion.cpp.

References config, mlir::OperationConverter::convertOperations(), and patterns.

Referenced by applyFullConversion().

applyFullConversion() [2/2]

LogicalResult mlir::applyFullConversion	(	Operation *	op,
		const ConversionTarget &	target,
		const FrozenRewritePatternSet &	patterns,
		ConversionConfig	config = ConversionConfig()
	)

Definition at line 3426 of file DialectConversion.cpp.

References applyFullConversion(), config, and patterns.

applyOpPatternsGreedily()

LogicalResult mlir::applyOpPatternsGreedily	(	ArrayRef< Operation * >	ops,
		const FrozenRewritePatternSet &	patterns,
		GreedyRewriteConfig	config = GreedyRewriteConfig(),
		bool *	changed = nullptr,
		bool *	allErased = nullptr
	)

Rewrite the specified ops by repeatedly applying the highest benefit patterns in a greedy worklist driven manner until a fixpoint is reached.

The greedy rewrite may prematurely stop after a maximum number of iterations, which can be configured in the configuration parameter.

Also performs simple dead-code elimination before attempting to match any of the provided patterns.

Newly created ops and other pre-existing ops that use results of rewritten ops or supply operands to such ops are also processed, unless such ops are excluded via config.strictMode. Any other ops remain unmodified (i.e., regardless of strictMode).

In addition to strictness, a region scope can be specified. Only ops within the scope are simplified. This is similar to applyPatternsGreedily, where only ops within the given region/op are simplified by default. If no scope is specified, it is assumed to be the first common enclosing region of the given ops.

Note that ops in ops could be erased as result of folding, becoming dead, or via pattern rewrites. If more far reaching simplification is desired, applyPatternsGreedily should be used.

Returns "success" if the iterative process converged (i.e., fixpoint was reached) and no more patterns can be matched. changed is set to "true" if the IR was modified at all. allOpsErased is set to "true" if all ops in ops were erased.

Definition at line 1015 of file GreedyPatternRewriteDriver.cpp.

References changed, config, findCommonAncestor(), patterns, and verify().

Referenced by mlir::affine::affineForOpBodySkew(), applyPatterns(), and mlir::affine::hoistAffineIfOp().

applyPartialConversion() [1/2]

LogicalResult mlir::applyPartialConversion	(	ArrayRef< Operation * >	ops,
		const ConversionTarget &	target,
		const FrozenRewritePatternSet &	patterns,
		ConversionConfig	config = ConversionConfig()
	)

Below we define several entry points for operation conversion.

It is important to note that the patterns provided to the conversion framework may have additional constraints. See the PatternRewriter Hooks section of the ConversionPatternRewriter, to see what additional constraints are imposed on the use of the PatternRewriter. Apply a partial conversion on the given operations and all nested operations. This method converts as many operations to the target as possible, ignoring operations that failed to legalize. This method only returns failure if there ops explicitly marked as illegal.

Definition at line 3401 of file DialectConversion.cpp.

References config, mlir::OperationConverter::convertOperations(), and patterns.

Referenced by applyPartialConversion().

applyPartialConversion() [2/2]

LogicalResult mlir::applyPartialConversion	(	Operation *	op,
		const ConversionTarget &	target,
		const FrozenRewritePatternSet &	patterns,
		ConversionConfig	config = ConversionConfig()
	)

Definition at line 3409 of file DialectConversion.cpp.

References applyPartialConversion(), config, and patterns.

applyPartialOneToNConversion()

LogicalResult mlir::applyPartialOneToNConversion	(	Operation *	op,
		TypeConverter &	typeConverter,
		const FrozenRewritePatternSet &	patterns
	)

Applies the given set of patterns recursively on the given op and adds user materializations where necessary.

The patterns are expected to be OneToNConversionPattern, which help converting the types of the operands and results of the matched ops. The provided type converter is used to convert the operands of matched ops from their original types to operands with different types. Unlike in DialectConversion, this supports 1:N type conversions. Those conversions at the "boundary" of the pattern application, where converted results are not consumed by replaced ops that expect the converted operands or vice versa, the function inserts user materializations from the type converter. Also unlike DialectConversion, there are no legal or illegal types; the function simply applies the given patterns and does not fail if some ops or types remain unconverted (i.e., the conversion is only "partial").

Definition at line 307 of file OneToNTypeConversion.cpp.

References applyPatternsGreedily(), castKindAttrName, emitError(), getCastKindName(), mlir::Operation::getContext(), mlir::Operation::getLoc(), mlir::ValueRange::getTypes(), mlir::TypeConverter::isLegal(), mlir::TypeConverter::materializeArgumentConversion(), mlir::TypeConverter::materializeSourceConversion(), mlir::TypeConverter::materializeTargetConversion(), patterns, mlir::RewriterBase::replaceOp(), mlir::OpBuilder::setInsertionPoint(), and mlir::Operation::walk().

applyPassManagerCLOptions()

LogicalResult mlir::applyPassManagerCLOptions

(

PassManager &

pm

)

Apply any values provided to the pass manager options that were registered with 'registerPassManagerOptions'.

Definition at line 145 of file PassManagerOptions.cpp.

References emitError(), mlir::PassManager::enableCrashReproducerGeneration(), mlir::PassManager::enableStatistics(), get(), mlir::PassManager::getContext(), mlir::MLIRContext::isMultithreadingEnabled(), and options.

Referenced by performActions().

applyPatternsAndFoldGreedily() [1/2]

LogicalResult mlir::applyPatternsAndFoldGreedily ( Operation *  op, const FrozenRewritePatternSet &  patterns, GreedyRewriteConfig  config = GreedyRewriteConfig(), bool *  changed = nullptr  )

inline

Same as applyPatternsGreedily above with folding.

FIXME: Remove this once transition to above is complieted.

Definition at line 186 of file GreedyPatternRewriteDriver.h.

References applyPatternsGreedily(), changed, config, and patterns.

applyPatternsAndFoldGreedily() [2/2]

LogicalResult mlir::applyPatternsAndFoldGreedily ( Region &  region, const FrozenRewritePatternSet &  patterns, GreedyRewriteConfig  config = GreedyRewriteConfig(), bool *  changed = nullptr  )

inline

Same as applyPatternsAndGreedily above with folding.

FIXME: Remove this once transition to above is complieted.

Definition at line 134 of file GreedyPatternRewriteDriver.h.

References applyPatternsGreedily(), changed, config, and patterns.

applyPatternsGreedily() [1/2]

LogicalResult mlir::applyPatternsGreedily ( Operation *  op, const FrozenRewritePatternSet &  patterns, GreedyRewriteConfig  config = GreedyRewriteConfig(), bool *  changed = nullptr  )

inline

Rewrite ops nested under the given operation, which must be isolated from above, by repeatedly applying the highest benefit patterns in a greedy worklist driven manner until a fixpoint is reached.

The greedy rewrite may prematurely stop after a maximum number of iterations, which can be configured in the configuration parameter.

Also performs simple dead-code elimination before attempting to match any of the provided patterns.

This overload runs a separate greedy rewrite for each region of the specified op. A region scope can be set in the configuration parameter. By default, the scope is set to the region of the current greedy rewrite. Only in-scope ops are added to the worklist and only in-scope ops and the specified op itself are allowed to be modified by the patterns.

Note: The specified op may be modified, but it may not be removed by the patterns.

Returns "success" if the iterative process converged (i.e., fixpoint was reached) and no more patterns can be matched within the region. changed is set to "true" if the IR was modified at all.

Note: This method does not apply patterns to the given operation itself.

Definition at line 167 of file GreedyPatternRewriteDriver.h.

References applyPatternsGreedily(), changed, config, mlir::Operation::getRegions(), and patterns.

applyPatternsGreedily() [2/2]

LogicalResult mlir::applyPatternsGreedily	(	Region &	region,
		const FrozenRewritePatternSet &	patterns,
		GreedyRewriteConfig	config = GreedyRewriteConfig(),
		bool *	changed = nullptr
	)

Rewrite ops in the given region, which must be isolated from above, by repeatedly applying the highest benefit patterns in a greedy worklist driven manner until a fixpoint is reached.

The greedy rewrite may prematurely stop after a maximum number of iterations, which can be configured in the configuration parameter.

Also performs simple dead-code elimination before attempting to match any of the provided patterns.

A region scope can be set in the configuration parameter. By default, the scope is set to the specified region. Only in-scope ops are added to the worklist and only in-scope ops are allowed to be modified by the patterns.

Returns "success" if the iterative process converged (i.e., fixpoint was reached) and no more patterns can be matched within the region. changed is set to "true" if the IR was modified at all.

Note: This method does not apply patterns to the region's parent operation.

Definition at line 897 of file GreedyPatternRewriteDriver.cpp.

References changed, config, mlir::Region::getContext(), mlir::Region::getParentOp(), mlir::Operation::hasTrait(), patterns, and verify().

Referenced by applyPartialOneToNConversion(), applyPatternsAndFoldGreedily(), applyPatternsGreedily(), mlir::affine::hoistAffineIfOp(), mlirApplyPatternsAndFoldGreedily(), mlir::spirv::unrollVectorsInFuncBodies(), and mlir::spirv::unrollVectorsInSignatures().

applyPermutation() [1/2]

template<typename T >

SmallVector<T> mlir::applyPermutation	(	ArrayRef< T >	input,
		ArrayRef< int64_t >	permutation
	)

Definition at line 201 of file IndexingUtils.h.

Referenced by applyPermutation(), applyPermutationToVector(), mlir::detail::TileOffsetRangeImpl::getDynamicTileOffsets(), mlir::detail::TileOffsetRangeImpl::getStaticTileOffsets(), getTiledPackShape(), and SwapTransposeWithBroadcast::matchAndRewrite().

applyPermutation() [2/2]

template<typename T >

SmallVector<T> mlir::applyPermutation	(	const SmallVectorImpl< T > &	input,
		ArrayRef< int64_t >	permutation
	)

Definition at line 215 of file IndexingUtils.h.

References applyPermutation().

applyPermutationMap()

template<typename T >

SmallVector<T> mlir::applyPermutationMap	(	AffineMap	map,
		llvm::ArrayRef< T >	source
	)

Apply a permutation from map to source and return the result.

Definition at line 675 of file AffineMap.h.

References mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), mlir::AffineMap::getResults(), and mlir::AffineMap::isProjectedPermutation().

Referenced by mlir::vector::inferTransferOpMaskType().

applyPermutationToVector()

template<typename T , unsigned N>

void mlir::applyPermutationToVector	(	SmallVector< T, N > &	inVec,
		ArrayRef< int64_t >	permutation
	)

Apply the permutation defined by permutation to inVec.

Element i in inVec is mapped to location j = permutation[i]. E.g.: for an input vector ‘inVec = ['a’, 'b', 'c']and a permutation vectorpermutation = [2, 0, 1], this function leavesinVec = ['c', 'a', 'b']`.

Definition at line 226 of file IndexingUtils.h.

References applyPermutation().

Referenced by commonPermutationOfPackAndUnPackOp(), computePackUnPackPerm(), mlir::tensor::computeTransposedType(), getPackOpResultTypeShape(), mlir::linalg::lowerPack(), mlir::linalg::lowerUnPack(), permuteShape(), tileLinalgOpImpl(), mlir::detail::TileOffsetRangeImpl::TileOffsetRangeImpl(), mlir::scf::tileUsingSCF(), vectorizeAsTensorPackOp(), and vectorizeAsTensorUnpackOp().

areAllConstantIntValue()

bool mlir::areAllConstantIntValue	(	ArrayRef< OpFoldResult >	ofrs,
		int64_t	value
	)

Return true if all of ofrs are constant integers equal to value.

Definition at line 154 of file StaticValueUtils.cpp.

References isConstantIntValue().

areConstantIntValues()

bool mlir::areConstantIntValues	(	ArrayRef< OpFoldResult >	ofrs,
		ArrayRef< int64_t >	values
	)

Return true if all of ofrs are constant integers equal to the corresponding value in values.

Definition at line 159 of file StaticValueUtils.cpp.

References getConstantIntValues().

areValuesDefinedAbove()

template<typename Range >

bool mlir::areValuesDefinedAbove	(	Range	values,
		Region &	limit
	)

Check if all values in the provided range are defined above the limit region.

That is, if they are defined in a region that is a proper ancestor of limit.

Definition at line 24 of file RegionUtils.h.

Referenced by checkAffineLoopNestMappableImpl(), mlir::affine::coalescePerfectlyNestedAffineLoops(), and coalescePerfectlyNestedSCFForLoops().

asMainReturnCode()

int mlir::asMainReturnCode ( LogicalResult  r )

inline

Helper wrapper to return the result of MlirOptMain directly from main.

Example:

int main(int argc, char **argv) {
  // ...
  return mlir::asMainReturnCode(mlir::MlirOptMain(
      argc, argv, /* ... *‍/);
}

Definition at line 347 of file MlirOptMain.h.

barePtrFuncArgTypeConverter()

LogicalResult mlir::barePtrFuncArgTypeConverter	(	const LLVMTypeConverter &	converter,
		Type	type,
		SmallVectorImpl< Type > &	result
	)

Callback to convert function argument types.

It converts MemRef function arguments to bare pointers to the MemRef element type.

Definition at line 761 of file TypeConverter.cpp.

References mlir::LLVMTypeConverter::convertCallingConventionType().

bindDims()

template<typename... AffineExprTy>

void mlir::bindDims	(	MLIRContext *	ctx,
		AffineExprTy &...	exprs
	)

Bind a list of AffineExpr references to DimExpr at positions: [0 .

. sizeof...(exprs)]

Definition at line 348 of file AffineExpr.h.

Referenced by mlir::tensor::bubbleUpPadSlice(), buildLinearId(), mlir::tensor::createPadHighOp(), createSubViewIntersection(), denormalizeInductionVariableForIndexType(), denormalizeIndVar(), getBoundedTileSize(), mlir::affine::getDivMod(), mlir::nvgpu::getLaneIdAndValueIdToOperandCoord(), getTileOffsetAndSizes(), invertSliceIndexing(), mlir::linalg::lowerPack(), mlir::memref::multiBuffer(), mlir::linalg::offsetIndices(), mlir::linalg::rewriteInIm2Col(), mlir::linalg::splitOp(), mlir::linalg::updateBoundsForCyclicDistribution(), and updateExpandedGenericOpRegion().

bindDimsList()

template<typename AffineExprTy >

void mlir::bindDimsList	(	MLIRContext *	ctx,
		MutableArrayRef< AffineExprTy >	exprs
	)

Definition at line 353 of file AffineExpr.h.

References getAffineDimExpr().

bindSymbols()

template<typename... AffineExprTy>

void mlir::bindSymbols	(	MLIRContext *	ctx,
		AffineExprTy &...	exprs
	)

Bind a list of AffineExpr references to SymbolExpr at positions: [0 .

. sizeof...(exprs)]

Definition at line 362 of file AffineExpr.h.

Referenced by buildLinearId(), composedAffineMultiply(), mlir::memref::computeSuffixProductIRBlockImpl(), mlir::gpu::WarpDistributionPattern::delinearizeLaneId(), denormalizeInductionVariableForIndexType(), denormalizeIndVar(), emitNormalizedLoopBoundsForIndexType(), getBoundedTileSize(), getCompressedMaskOp(), mlir::linalg::getConvolvedIndex(), getIndicesForLoadOrStore(), mlir::memref::getLinearizedMemRefOffsetAndSize(), getOffsetForBitwidth(), getProductOfIndexes(), getTileOffsetAndSizes(), getUserTileSizesAndNumThreads(), invertSliceIndexing(), mlir::linalg::lowerPack(), mlir::affine::mapLoopToProcessorIds(), mlir::affine::mergeOffsetsSizesAndStrides(), normalizeUpperBounds(), peelForLoop(), mlir::affine::resolveIndicesIntoOpWithOffsetsAndStrides(), and CopyBuilder::rewrite().

bindSymbolsList()

template<typename AffineExprTy >

void mlir::bindSymbolsList	(	MLIRContext *	ctx,
		MutableArrayRef< AffineExprTy >	exprs
	)

Definition at line 367 of file AffineExpr.h.

References getAffineSymbolExpr().

Referenced by HopperBuilder::buildBarrierArriveTx(), HopperBuilder::buildTmaAsyncLoad(), computeLinearIndex(), and mlir::memref::getLinearizedMemRefOffsetAndSize().

canonicalizeStridedLayout()

MemRefType mlir::canonicalizeStridedLayout

(

MemRefType

t

)

Return a version of t with identity layout if it can be determined statically that the layout is the canonical contiguous strided layout.

Otherwise pass t's layout into simplifyAffineMap and return a copy of t with simplified layout.

Otherwise pass t's layout into simplifyAffineMap and return a copy of t with simplified layout. If t has multiple layout maps or a multi-result layout, just return t.

Definition at line 875 of file BuiltinTypes.cpp.

Referenced by dropUnitDims(), and rankReducingSubviewDroppingUnitDims().

clone() [1/2]

Operation * mlir::clone	(	OpBuilder &	b,
		Operation *	op,
		TypeRange	newResultTypes,
		ValueRange	newOperands
	)

Definition at line 197 of file StructuredOpsUtils.cpp.

Referenced by clone(), mlir::Region::cloneInto(), cloneToCollapsedOp< LinalgOp >(), fuse(), mlir::mesh::MeshSharding::get(), FoldTensorCastProducerOp::matchAndRewrite(), mlirMergeSymbolsIntoFromClone(), mlirOperationClone(), mlirRewriterBaseClone(), mlir::linalg::rewriteAsPaddedOp(), mlir::vector::splitFullAndPartialTransfer(), mlir::scf::tileAndFuseProducerOfSlice(), and tileLinalgOpImpl().

clone() [2/2]

template<typename OpT >

OpT mlir::clone	(	OpBuilder &	b,
		OpT	op,
		TypeRange	newResultTypes,
		ValueRange	newOperands
	)

Definition at line 145 of file StructuredOpsUtils.h.

References clone().

cloneWithoutRegions()

Operation * mlir::cloneWithoutRegions	(	OpBuilder &	b,
		Operation *	op,
		TypeRange	newResultTypes,
		ValueRange	newOperands
	)

Definition at line 209 of file StructuredOpsUtils.cpp.

Referenced by mlirRewriterBaseCloneWithoutRegions().

coalesceLoops() [1/2]

LogicalResult mlir::coalesceLoops

(

MutableArrayRef< scf::ForOp >

loops

)

Replace a perfect nest of "for" loops with a single linearized loop.

Assumes loops contains a list of perfectly nested loops with bounds and steps independent of any loop induction variable involved in the nest.

Definition at line 978 of file Utils.cpp.

Referenced by coalescePerfectlyNestedSCFForLoops().

coalesceLoops() [2/2]

LogicalResult mlir::coalesceLoops	(	RewriterBase &	rewriter,
		MutableArrayRef< scf::ForOp >	loops
	)

Definition at line 900 of file Utils.cpp.

References delinearizeInductionVariable(), denormalizeInductionVariable(), emitNormalizedLoopBounds(), mlir::RewriterBase::eraseOp(), mlir::Operation::getOperands(), getProductOfIntsOrIndexes(), getValueOrCreateConstantIntOp(), mlir::RewriterBase::inlineBlockBefore(), mlir::RewriterBase::modifyOpInPlace(), mlir::RewriterBase::replaceAllUsesExcept(), mlir::RewriterBase::replaceOp(), mlir::OpBuilder::setInsertionPoint(), and mlir::OpBuilder::setInsertionPointToStart().

coalescePerfectlyNestedSCFForLoops()

LogicalResult mlir::coalescePerfectlyNestedSCFForLoops

(

scf::ForOp

op

)

Walk an affine.for to find a band to coalesce.

Definition at line 986 of file Utils.cpp.

References areValuesDefinedAbove(), coalesceLoops(), and getPerfectlyNestedLoops().

collapseParallelLoops()

void mlir::collapseParallelLoops	(	RewriterBase &	rewriter,
		scf::ParallelOp	loops,
		ArrayRef< std::vector< unsigned >>	combinedDimensions
	)

Take the ParallelLoop and for each set of dimension indices, combine them into a single dimension.

combinedDimensions must contain each index into loops exactly once.

Definition at line 1061 of file Utils.cpp.

References mlir::OpBuilder::create(), denormalizeInductionVariable(), emitNormalizedLoopBounds(), mlir::Operation::erase(), getValueOrCreateConstantIntOp(), replaceAllUsesInRegionWith(), mlir::OpBuilder::setInsertionPoint(), and mlir::OpBuilder::setInsertionPointToStart().

composeReassociationIndices()

std::optional< SmallVector< ReassociationIndices > > mlir::composeReassociationIndices	(	ArrayRef< ReassociationIndices >	producerReassociations,
		ArrayRef< ReassociationIndices >	consumerReassociations,
		MLIRContext *	context
	)

Compose reassociation maps that are used in pair of reshape ops where one is a producer and other is the consumer.

Only valid to use this method when both the producer and consumer are collapsing dimensions or both are expanding dimensions.

For example, producerReassociation = [[0, 1], [2], [3, 4]] consumerReassociation = [[0, 1], [2]]

is folded into

result = [[0, 1, 2], [3, 4]].

Definition at line 97 of file ReshapeOpsUtils.cpp.

Referenced by mlir::ComposeReassociativeReshapeOps< ReshapeOpTy, opKind >::matchAndRewrite().

compressDims()

AffineMap mlir::compressDims	(	AffineMap	map,
		const llvm::SmallBitVector &	unusedDims
	)

Drop the dims that are listed in unusedDims.

Definition at line 717 of file AffineMap.cpp.

References projectDims().

Referenced by compressUnusedDims().

compressSymbols()

AffineMap mlir::compressSymbols	(	AffineMap	map,
		const llvm::SmallBitVector &	unusedSymbols
	)

Drop the symbols that are listed in unusedSymbols.

Definition at line 731 of file AffineMap.cpp.

References projectSymbols().

Referenced by compressUnusedSymbols().

compressUnusedDims() [1/2]

AffineMap mlir::compressUnusedDims

(

AffineMap

map

)

Drop the dims that are not used.

Definition at line 722 of file AffineMap.cpp.

References compressDims(), and getUnusedDimsBitVector().

Referenced by mlir::vector::inferTransferOpMaskType(), and reindexIndexingMap().

compressUnusedDims() [2/2]

SmallVector< AffineMap > mlir::compressUnusedDims

(

ArrayRef< AffineMap >

maps

)

Drop the dims that are not used by any of the individual maps in maps.

Asserts that all maps in maps are normalized to the same number of dims and symbols.

Definition at line 726 of file AffineMap.cpp.

References compressUnusedListImpl().

compressUnusedSymbols() [1/2]

AffineMap mlir::compressUnusedSymbols

(

AffineMap

map

)

Drop the symbols that are not used.

Definition at line 736 of file AffineMap.cpp.

References compressSymbols(), and getUnusedSymbolsBitVector().

Referenced by getProjectedMap().

compressUnusedSymbols() [2/2]

SmallVector< AffineMap > mlir::compressUnusedSymbols

(

ArrayRef< AffineMap >

maps

)

Drop the symbols that are not used by any of the individual maps in maps.

Asserts that all maps in maps are normalized to the same number of dims and symbols.

Definition at line 740 of file AffineMap.cpp.

References compressUnusedListImpl().

computeElementwiseMul() [1/2]

SmallVector< AffineExpr > mlir::computeElementwiseMul	(	ArrayRef< AffineExpr >	v1,
		ArrayRef< AffineExpr >	v2
	)

Return a vector containing llvm::zip_equal(v1, v2) multiplied elementwise.

It is the caller's responsibility to pass proper AffineExpr kind that result in valid AffineExpr (i.e. cannot multiply 2 AffineDimExpr or divide by an AffineDimExpr).

Return an empty vector if v1 and v2 are empty.

Definition at line 154 of file IndexingUtils.cpp.

References computeElementwiseMulImpl().

computeElementwiseMul() [2/2]

SmallVector< int64_t > mlir::computeElementwiseMul	(	ArrayRef< int64_t >	v1,
		ArrayRef< int64_t >	v2
	)

Return a vector containing llvm::zip_equal(v1, v2) multiplied elementwise.

Return an empty vector if v1 and v2 are empty.

Definition at line 78 of file IndexingUtils.cpp.

References computeElementwiseMulImpl().

Referenced by mlir::detail::TileOffsetRangeImpl::getDynamicTileOffsets(), and mlir::detail::TileOffsetRangeImpl::getStaticTileOffsets().

computeLinearIndex() [1/2]

std::pair< AffineExpr, SmallVector< OpFoldResult > > mlir::computeLinearIndex	(	OpFoldResult	sourceOffset,
		ArrayRef< int64_t >	strides,
		ArrayRef< Value >	indices
	)

Definition at line 335 of file IndexingUtils.cpp.

References computeLinearIndex(), getAsIndexOpFoldResult(), getAsOpFoldResult(), and mlir::OpFoldResult::getContext().

computeLinearIndex() [2/2]

std::pair< AffineExpr, SmallVector< OpFoldResult > > mlir::computeLinearIndex	(	OpFoldResult	sourceOffset,
		ArrayRef< OpFoldResult >	strides,
		ArrayRef< OpFoldResult >	indices
	)

Compute linear index from provided strides and indices, assuming strided layout.

Returns AffineExpr and list of values to apply to it, e.g.:

auto &&[expr, values] = computeLinearIndex(...); offset = affine::makeComposedFoldedAffineApply(builder, loc, expr, values);

Definition at line 304 of file IndexingUtils.cpp.

References bindSymbolsList(), and getContext().

Referenced by computeLinearIndex(), getCollapsedIndices(), getFlatOffsetAndStrides(), and mlir::affine::linearizeIndex().

computeMaxLinearIndex() [1/2]

int64_t mlir::computeMaxLinearIndex ( ArrayRef< int64_t >  basis )

inline

Return the number of elements of basis (i.e.

the max linear index). Return 0 if basis is empty.

basis elements are asserted to be non-negative.

Return 0 if basis is empty.

Definition at line 69 of file IndexingUtils.h.

References computeProduct().

Referenced by handleMultidimensionalVectors(), and mlir::detail::TileOffsetRangeImpl::TileOffsetRangeImpl().

computeMaxLinearIndex() [2/2]

AffineExpr mlir::computeMaxLinearIndex ( MLIRContext *  ctx, ArrayRef< AffineExpr >  basis  )

inline

Return the number of elements of basis (i.e.

the max linear index). Return 0 if basis is empty.

It is the caller's responsibility to pass proper AffineExpr kind that result in valid AffineExpr (i.e. cannot multiply 2 AffineDimExpr or divide by an AffineDimExpr).

basis elements are expected to bind to non-negative values.

Return the 0 AffineConstantExpr if basis is empty.

Definition at line 159 of file IndexingUtils.h.

References computeProduct().

computePermutationVector()

SmallVector< int64_t > mlir::computePermutationVector	(	int64_t	permSize,
		ArrayRef< int64_t >	positions,
		ArrayRef< int64_t >	desiredPositions
	)

Return a permutation vector of size permSize that would result in moving positions into desiredPositions.

For example, permSize == 5, positions = {2, 4}, desiredPositions = {1, 0} would result in a {4, 2, 0, 1, 3} permutation vector.

Definition at line 235 of file IndexingUtils.cpp.

Referenced by computePackUnPackPerm(), and mlir::linalg::packMatmulGreedily().

computeProduct() [1/2]

int64_t mlir::computeProduct

(

ArrayRef< int64_t >

basis

)

Self-explicit.

Definition at line 91 of file IndexingUtils.cpp.

Referenced by HopperBuilder::buildTmaAsyncLoad(), checkMappingSpec(), commonLinearIdBuilderFn(), computeMaxLinearIndex(), and CopyBuilder::rewrite().

computeProduct() [2/2]

AffineExpr mlir::computeProduct	(	MLIRContext *	ctx,
		ArrayRef< AffineExpr >	basis
	)

Self-explicit.

Definition at line 167 of file IndexingUtils.cpp.

References getAffineConstantExpr().

computeRankReductionMask()

std::optional< llvm::SmallDenseSet< unsigned > > mlir::computeRankReductionMask	(	ArrayRef< int64_t >	originalShape,
		ArrayRef< int64_t >	reducedShape,
		bool	matchDynamic = false
	)

Given an originalShape and a reducedShape assumed to be a subset of originalShape with some 1 entries erased, return the set of indices that specifies which of the entries of originalShape are dropped to obtain reducedShape.

The returned mask can be applied as a projection to originalShape to obtain the reducedShape. This mask is useful to track which dimensions must be kept when e.g. compute MemRef strides under rank-reducing operations. Return std::nullopt if reducedShape cannot be obtained by dropping only 1 entries in originalShape. If matchDynamic is true, then dynamic dims in originalShape and reducedShape will be considered matching with non-dynamic dims, unless the non-dynamic dim is from originalShape and equal to 1. For example, in ([1, 3, ?], [?, 5]), the mask would be {1, 0, 0}, since 3 and 5 will match with the corresponding dynamic dims.

Definition at line 423 of file BuiltinTypes.cpp.

Referenced by isRankReducedType().

computeShapeRatio()

std::optional< SmallVector< int64_t > > mlir::computeShapeRatio	(	ArrayRef< int64_t >	shape,
		ArrayRef< int64_t >	subShape
	)

Return the multi-dimensional integral ratio of subShape to the trailing dimensions of shape.

This represents how many times subShape fits within shape. If integral division is not possible, return std::nullopt. The trailing subShape.size() entries of both shapes are assumed (and enforced) to only contain non-negative values.

Examples:

• shapeRatio({3, 5, 8}, {2, 5, 2}) returns {3, 2, 1}.
• shapeRatio({3, 8}, {2, 5, 2}) returns std::nullopt (subshape has higher rank).
• shapeRatio({42, 2, 10, 32}, {2, 5, 2}) returns {42, 1, 2, 16} which is derived as {42(leading shape dim), 2/2, 10/5, 32/2}.
• shapeRatio({42, 2, 11, 32}, {2, 5, 2}) returns std::nullopt which is derived as {42(leading shape dim), 2/2, 11/5(not divisible), 32/2}.

Definition at line 116 of file IndexingUtils.cpp.

References copy().

Referenced by getTargetShape(), and mlir::detail::TileOffsetRangeImpl::TileOffsetRangeImpl().

computeStrides() [1/2]

SmallVector<AffineExpr> mlir::computeStrides ( ArrayRef< AffineExpr >  sizes )

inline

Definition at line 129 of file IndexingUtils.h.

References computeSuffixProduct().

computeStrides() [2/2]

SmallVector<int64_t> mlir::computeStrides ( ArrayRef< int64_t >  sizes )

inline

Definition at line 47 of file IndexingUtils.h.

References computeSuffixProduct().

Referenced by commonLinearIdBuilderFn(), foreachIndividualVectorElement(), handleMultidimensionalVectors(), mlir::affine::linearizeIndex(), and mlir::detail::TileOffsetRangeImpl::TileOffsetRangeImpl().

computeSuffixProduct() [1/2]

SmallVector< AffineExpr > mlir::computeSuffixProduct

(

ArrayRef< AffineExpr >

sizes

)

Given a set of sizes, return the suffix product.

When applied to slicing, this is the calculation needed to derive the strides (i.e. the number of linear indices to skip along the (k-1) most minor dimensions to get the next k-slice).

This is the basis to linearize an n-D offset confined to [0 ... sizes].

Assuming sizes is [s0, .. sn], return the vector<AffineExpr> [s1 * ... * sn, s2 * ... * sn, ..., sn, 1].

It is the caller's responsibility to pass proper AffineExpr kind that result in valid AffineExpr (i.e. cannot multiply 2 AffineDimExpr or divide by an AffineDimExpr).

sizes elements are expected to bind to non-negative values.

Return an empty vector if sizes is empty.

Definition at line 147 of file IndexingUtils.cpp.

References computeSuffixProductImpl(), and getAffineConstantExpr().

computeSuffixProduct() [2/2]

SmallVector< int64_t > mlir::computeSuffixProduct

(

ArrayRef< int64_t >

sizes

)

Given a set of sizes, return the suffix product.

When applied to slicing, this is the calculation needed to derive the strides (i.e. the number of linear indices to skip along the (k-1) most minor dimensions to get the next k-slice).

This is the basis to linearize an n-D offset confined to [0 ... sizes].

Assuming sizes is [s0, .. sn], return the vector<int64_t> [s1 * ... * sn, s2 * ... * sn, ..., sn, 1].

sizes elements are asserted to be non-negative.

Return an empty vector if sizes is empty.

Definition at line 71 of file IndexingUtils.cpp.

References computeSuffixProductImpl().

Referenced by computeStrides(), getCollapsedIndices(), and resolveSourceIndicesCollapseShape().

computeSum() [1/2]

int64_t mlir::computeSum

(

ArrayRef< int64_t >

basis

)

Self-explicit.

Definition at line 83 of file IndexingUtils.cpp.

Referenced by HopperBuilder::buildBarrierArriveTx().

computeSum() [2/2]

AffineExpr mlir::computeSum	(	MLIRContext *	ctx,
		ArrayRef< AffineExpr >	basis
	)

Self-explicit.

Definition at line 159 of file IndexingUtils.cpp.

References getAffineConstantExpr().

computeTopologicalSorting()

bool mlir::computeTopologicalSorting	(	MutableArrayRef< Operation * >	ops,
		function_ref< bool(Value, Operation *)>	isOperandReady = nullptr
	)

Compute a topological ordering of the given ops.

This sort is not stable.

Note: If the specified ops contain incomplete/interrupted SSA use-def chains, the result may not actually be a topological sorting with respect to the entire program.

Definition at line 112 of file TopologicalSortUtils.cpp.

References isOpReady().

Referenced by makeRegionIsolatedFromAbove().

concatAffineMaps()

AffineMap mlir::concatAffineMaps	(	ArrayRef< AffineMap >	maps,
		MLIRContext *	context
	)

Concatenates a list of maps into a single AffineMap, stepping over potentially empty maps.

Assumes each of the underlying map has 0 symbols. The resulting map has a number of dims equal to the max of maps' dims and the concatenated results as its results. Returns an empty map if all input maps are empty.

Example: When applied to the following list of 3 affine maps,

{
  (i, j, k) -> (i, k),
  (i, j, k) -> (k, j),
  (i, j, k) -> (i, j)
}

Returns the map:

(i, j, k) -> (i, k, k, j, i, j)

Definition at line 836 of file AffineMap.cpp.

References mlir::AffineMap::get().

Referenced by mlir::linalg::detail::canOpOperandsBeDroppedImpl(), mlir::linalg::dropUnitDims(), and isOpOperandCanBeDroppedAfterFusedLinalgs().

configureAMXLegalizeForExportTarget()

void mlir::configureAMXLegalizeForExportTarget

(

LLVMConversionTarget &

target

)

Configure the target to support lowering AMX ops to ops that map to LLVM intrinsics.

Definition at line 220 of file LegalizeForLLVMExport.cpp.

References mlir::ConversionTarget::addIllegalOp(), and mlir::ConversionTarget::addLegalOp().

configureArmSMEToLLVMConversionLegality()

void mlir::configureArmSMEToLLVMConversionLegality

(

ConversionTarget &

target

)

Configure target to convert from the ArmSME dialect to LLVM intrinsics.

Definition at line 941 of file ArmSMEToLLVM.cpp.

References mlir::ConversionTarget::addIllegalDialect(), mlir::ConversionTarget::addLegalDialect(), and mlir::ConversionTarget::addLegalOp().

configureArmSVELegalizeForExportTarget()

void mlir::configureArmSVELegalizeForExportTarget

(

LLVMConversionTarget &

target

)

Configure the target to support lowering ArmSVE ops to ops that map to LLVM intrinsics.

Definition at line 235 of file LegalizeForLLVMExport.cpp.

References mlir::ConversionTarget::addIllegalOp(), and mlir::ConversionTarget::addLegalOp().

configureGpuToNVVMConversionLegality()

void mlir::configureGpuToNVVMConversionLegality

(

ConversionTarget &

target

)

Configure target to convert from the GPU dialect to NVVM.

Definition at line 300 of file LowerGpuOpsToNVVMOps.cpp.

References mlir::ConversionTarget::addIllegalDialect(), mlir::ConversionTarget::addIllegalOp(), mlir::ConversionTarget::addLegalDialect(), and mlir::ConversionTarget::addLegalOp().

configureGpuToNVVMTypeConverter()

void mlir::configureGpuToNVVMTypeConverter

(

LLVMTypeConverter &

converter

)

Configure the LLVM type convert to convert types and address spaces from the GPU dialect to NVVM.

Definition at line 315 of file LowerGpuOpsToNVVMOps.cpp.

References mlir::TypeConverter::addConversion(), convertMMAToLLVMType(), mlir::NVVM::kGlobalMemorySpace, kSharedMemorySpace, and populateGpuMemorySpaceAttributeConversions().

configureGpuToROCDLConversionLegality()

void mlir::configureGpuToROCDLConversionLegality

(

ConversionTarget &

target

)

Configure target to convert from the GPU dialect to ROCDL.

Definition at line 333 of file LowerGpuOpsToROCDLOps.cpp.

References mlir::ConversionTarget::addDynamicallyLegalOp(), mlir::ConversionTarget::addIllegalDialect(), mlir::ConversionTarget::addIllegalOp(), mlir::ConversionTarget::addLegalDialect(), and mlir::ConversionTarget::addLegalOp().

configureOpenMPToLLVMConversionLegality()

void mlir::configureOpenMPToLLVMConversionLegality	(	ConversionTarget &	target,
		const LLVMTypeConverter &	typeConverter
	)

Configure dynamic conversion legality of regionless operations from OpenMP to LLVM.

Definition at line 224 of file OpenMPToLLVM.cpp.

References mlir::ConversionTarget::addDynamicallyLegalOp(), and mlir::TypeConverter::isLegal().

configureParallelLoopToGPULegality()

void mlir::configureParallelLoopToGPULegality

(

ConversionTarget &

target

)

Configures the rewrite target such that only scf.parallel operations that are not rewritten by the provided patterns are legal.

Definition at line 679 of file SCFToGPU.cpp.

References mlir::ConversionTarget::addDynamicallyLegalOp(), mlir::ConversionTarget::addLegalDialect(), mlir::gpu::getMappingAttrName(), and kVisitedAttrName.

configureX86VectorLegalizeForExportTarget()

void mlir::configureX86VectorLegalizeForExportTarget

(

LLVMConversionTarget &

target

)

Configure the target to support lowering X86Vector ops to ops that map to LLVM intrinsics.

Definition at line 168 of file LegalizeForLLVMExport.cpp.

References mlir::ConversionTarget::addIllegalOp(), and mlir::ConversionTarget::addLegalOp().

constantTripCount()

std::optional< int64_t > mlir::constantTripCount	(	OpFoldResult	lb,
		OpFoldResult	ub,
		OpFoldResult	step
	)

Return the number of iterations for a loop with a lower bound lb, upper bound ub and step step.

Definition at line 263 of file StaticValueUtils.cpp.

References getConstantIntValue().

constFoldBinaryOp() [1/2]

template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<ElementValueT(ElementValueT, ElementValueT)>>

Attribute mlir::constFoldBinaryOp	(	ArrayRef< Attribute >	operands,
		CalculationT &&	calculate
	)

Definition at line 179 of file CommonFolders.h.

constFoldBinaryOp() [2/2]

template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = void, class CalculationT = function_ref<ElementValueT(ElementValueT, ElementValueT)>>

Attribute mlir::constFoldBinaryOp	(	ArrayRef< Attribute >	operands,
		Type	resultType,
		CalculationT &&	calculate
	)

Definition at line 165 of file CommonFolders.h.

constFoldBinaryOpConditional() [1/2]

template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref< std::optional<ElementValueT>(ElementValueT, ElementValueT)>>

Attribute mlir::constFoldBinaryOpConditional	(	ArrayRef< Attribute >	operands,
		CalculationT &&	calculate
	)

Performs constant folding calculate with element-wise behavior on the two attributes in operands and returns the result if possible.

Uses the operand element type for the element type of the returned attribute. Optional PoisonAttr template argument allows to specify 'poison' attribute which will be directly propagated to result.

Definition at line 127 of file CommonFolders.h.

References constFoldBinaryOpConditional().

constFoldBinaryOpConditional() [2/2]

template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref< std::optional<ElementValueT>(ElementValueT, ElementValueT)>>

Attribute mlir::constFoldBinaryOpConditional	(	ArrayRef< Attribute >	operands,
		Type	resultType,
		CalculationT &&	calculate
	)

Performs constant folding calculate with element-wise behavior on the two attributes in operands and returns the result if possible.

Uses resultType for the type of the returned attribute. Optional PoisonAttr template argument allows to specify 'poison' attribute which will be directly propagated to result.

Definition at line 38 of file CommonFolders.h.

References get(), and mlir::DenseElementsAttr::get().

Referenced by constFoldBinaryOpConditional().

constFoldCastOp()

template<class AttrElementT , class TargetAttrElementT , class ElementValueT = typename AttrElementT::ValueType, class TargetElementValueT = typename TargetAttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<TargetElementValueT(ElementValueT, bool)>>

Attribute mlir::constFoldCastOp	(	ArrayRef< Attribute >	operands,
		Type	resType,
		CalculationT &&	calculate
	)

Definition at line 269 of file CommonFolders.h.

References get(), and mlir::DenseElementsAttr::get().

constFoldUnaryOp()

template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<ElementValueT(ElementValueT)>>

Attribute mlir::constFoldUnaryOp	(	ArrayRef< Attribute >	operands,
		CalculationT &&	calculate
	)

Definition at line 255 of file CommonFolders.h.

constFoldUnaryOpConditional()

template<class AttrElementT , class ElementValueT = typename AttrElementT::ValueType, class PoisonAttr = ub::PoisonAttr, class CalculationT = function_ref<std::optional<ElementValueT>(ElementValueT)>>

Attribute mlir::constFoldUnaryOpConditional	(	ArrayRef< Attribute >	operands,
		CalculationT &&	calculate
	)

Performs constant folding calculate with element-wise behavior on the one attributes in operands and returns the result if possible.

Optional PoisonAttr template argument allows to specify 'poison' attribute which will be directly propagated to result.

Definition at line 197 of file CommonFolders.h.

References get(), and mlir::DenseElementsAttr::get().

controlFlowSink()

size_t mlir::controlFlowSink	(	RegionRange	regions,
		DominanceInfo &	domInfo,
		function_ref< bool(Operation *, Region *)>	shouldMoveIntoRegion,
		function_ref< void(Operation *, Region *)>	moveIntoRegion
	)

Given a list of regions, perform control flow sinking on them.

For each region, control-flow sinking moves operations that dominate the region but whose only users are in the region into the regions so that they aren't executed on paths where their results are not needed.

TODO: For the moment, this is a simple control-flow sink, i.e., no duplicating of ops. It should be made to accept a cost model to determine whether duplicating a particular op is profitable.

Example:

%0 = arith.addi %arg0, %arg1
scf.if %cond {
  scf.yield %0
} else {
  scf.yield %arg2
}

After control-flow sink:

scf.if %cond {
  %0 = arith.addi %arg0, %arg1
  scf.yield %0
} else {
  scf.yield %arg2
}

Users must supply a callback shouldMoveIntoRegion that determines whether the given operation that only has users in the given operation should be moved into that region. If this returns true, moveIntoRegion is called on the same operation and region.

moveIntoRegion must move the operation into the region such that dominance of the operation is preserved; for example, by moving the operation to the start of the entry block. This ensures the preservation of SSA dominance of the operation's results.

Returns the number of operations sunk.

Definition at line 127 of file ControlFlowSinkUtils.cpp.

convertAffineLoopNestToGPULaunch()

LogicalResult mlir::convertAffineLoopNestToGPULaunch	(	affine::AffineForOp	forOp,
		unsigned	numBlockDims,
		unsigned	numThreadDims
	)

Convert a perfect affine loop nest with the outermost loop identified by forOp into a gpu::Launch operation.

Map numBlockDims outer loops to GPU blocks and numThreadDims to GPU threads. The bounds of the loops that are mapped should be independent of the induction variables of the other mapped loops.

No check on the size of the block or grid, or on the validity of parallelization is performed, it is under the responsibility of the caller to strip-mine the loops and to perform the dependence analysis before calling the conversion.

convertFromAttribute() [1/9]

LogicalResult mlir::convertFromAttribute	(	bool &	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Extract the boolean from attr into storage.

If attr is not a BoolAttr, return failure and emit an error into the diagnostic from emitError.

Definition at line 67 of file ODSSupport.cpp.

References emitError().

convertFromAttribute() [2/9]

LogicalResult mlir::convertFromAttribute	(	int32_t &	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Convert an IntegerAttr attribute to an int32_t, or return an error if the attribute isn't an IntegerAttr.

If the optional diagnostic is provided an error message is also emitted.

Definition at line 37 of file ODSSupport.cpp.

References emitError().

convertFromAttribute() [3/9]

LogicalResult mlir::convertFromAttribute	(	int64_t &	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Convert an IntegerAttr attribute to an int64_t, or return an error if the attribute isn't an IntegerAttr.

If the optional diagnostic is provided an error message is also emitted.

Definition at line 22 of file ODSSupport.cpp.

References emitError().

convertFromAttribute() [4/9]

static LogicalResult mlir::convertFromAttribute ( IntegerOverflowFlags &  flags, Attribute  attr, function_ref< InFlightDiagnostic()>  emitError  )

static

Definition at line 66 of file LLVMDialect.cpp.

References emitError().

convertFromAttribute() [5/9]

LogicalResult mlir::convertFromAttribute	(	MutableArrayRef< int32_t >	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Convert a DenseI32ArrayAttr to the provided storage.

It is expected that the storage has the same size as the array. An error is returned if the attribute isn't a DenseI32ArrayAttr or it does not have the same size. If the optional diagnostic is provided an error message is also emitted.

Definition at line 105 of file ODSSupport.cpp.

References emitError().

convertFromAttribute() [6/9]

LogicalResult mlir::convertFromAttribute	(	MutableArrayRef< int64_t >	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Convert a DenseI64ArrayAttr to the provided storage.

It is expected that the storage has the same size as the array. An error is returned if the attribute isn't a DenseI64ArrayAttr or it does not have the same size. If the optional diagnostic is provided an error message is also emitted.

Definition at line 99 of file ODSSupport.cpp.

References emitError().

convertFromAttribute() [7/9]

LogicalResult mlir::convertFromAttribute	(	SmallVectorImpl< int32_t > &	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Convert a DenseI32ArrayAttr to the provided storage, which will be cleared before writing.

It is expected that the storage has the same size as the array. An error is returned and emitted to the optional emitError function if the attribute isn't a DenseI32ArrayAttr.

Definition at line 132 of file ODSSupport.cpp.

References emitError().

convertFromAttribute() [8/9]

LogicalResult mlir::convertFromAttribute	(	SmallVectorImpl< int64_t > &	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Convert a DenseI64ArrayAttr to the provided storage, which will be cleared before writing.

An error is returned and emitted to the optional emitError function if the attribute isn't a DenseI64ArrayAttr.

Definition at line 126 of file ODSSupport.cpp.

References emitError().

convertFromAttribute() [9/9]

LogicalResult mlir::convertFromAttribute	(	std::string &	storage,
		Attribute	attr,
		function_ref< InFlightDiagnostic()>	emitError
	)

Extract the string from attr into storage.

If attr is not a StringAttr, return failure and emit an error into the diagnostic from emitError.

Definition at line 52 of file ODSSupport.cpp.

References emitError().

convertFuncOpToLLVMFuncOp()

FailureOr< LLVM::LLVMFuncOp > mlir::convertFuncOpToLLVMFuncOp	(	FunctionOpInterface	funcOp,
		ConversionPatternRewriter &	rewriter,
		const LLVMTypeConverter &	converter
	)

Convert input FunctionOpInterface operation to LLVMFuncOp by using the provided LLVMTypeConverter.

Return failure if failed to so.

Definition at line 303 of file FuncToLLVM.cpp.

References mlir::ConversionPatternRewriter::applySignatureConversion(), mlir::LLVMTypeConverter::convertFunctionSignature(), mlir::LLVMTypeConverter::convertType(), mlir::OpBuilder::create(), filterFuncAttributes(), get(), mlir::Builder::getArrayAttr(), mlir::Builder::getContext(), mlir::TypeConverter::SignatureConversion::getInputMapping(), mlir::Builder::getNamedAttr(), mlir::RewriterBase::inlineRegionBefore(), linkageAttrName, mlir::RewriterBase::notifyMatchFailure(), restoreByValRefArgumentType(), shouldUseBarePtrCallConv(), varargsAttrName, wrapExternalFunction(), and wrapForExternalCallers().

convertMMAToLLVMType()

LLVM::LLVMStructType mlir::convertMMAToLLVMType

(

gpu::MMAMatrixType

type

)

Return the LLVMStructureType corresponding to the MMAMatrixType type.

Definition at line 379 of file WmmaOpsToNvvm.cpp.

References getElementType(), mlir::gpu::MMAMatrixType::getOperand(), mlir::gpu::MMAMatrixType::getShape(), and mlir::NVVM::inferMMAType().

Referenced by configureGpuToNVVMTypeConverter().

convertOpResultTypes()

FailureOr< Operation * > mlir::convertOpResultTypes	(	Operation *	op,
		ValueRange	operands,
		const TypeConverter &	converter,
		ConversionPatternRewriter &	rewriter
	)

Generic utility to convert op result types according to type converter without knowing exact op type.

Clones existing op with new result types and returns it.

Definition at line 3138 of file DialectConversion.cpp.

References mlir::OperationState::addAttributes(), mlir::OperationState::addOperands(), mlir::OperationState::addTypes(), mlir::TypeConverter::convertTypes(), mlir::OpBuilder::create(), mlir::Operation::getAttrs(), mlir::Operation::getLoc(), mlir::Operation::getName(), mlir::Operation::getResultTypes(), mlir::TypeConverter::isLegal(), and mlir::RewriterBase::notifyMatchFailure().

convertReassociationIndicesToExprs()

SmallVector< SmallVector< AffineExpr, 2 >, 2 > mlir::convertReassociationIndicesToExprs	(	MLIRContext *	context,
		ArrayRef< ReassociationIndices >	reassociationIndices
	)

Convert reassociation indices to affine expressions.

Definition at line 133 of file ReshapeOpsUtils.cpp.

References getAffineDimExpr().

convertReassociationMapsToIndices()

SmallVector< ReassociationIndices, 2 > mlir::convertReassociationMapsToIndices

(

ArrayRef< ReassociationExprs >

reassociationExprs

)

Convert Array<Array<AffineExpr>> to Array<Array<int64_t>>.

Definition at line 170 of file ReshapeOpsUtils.cpp.

convertScalarToDtype()

Value mlir::convertScalarToDtype	(	OpBuilder &	b,
		Location	loc,
		Value	operand,
		Type	toType,
		bool	isUnsignedCast
	)

Converts a scalar value operand to type toType.

If the value doesn't convert, a warning will be issued and the operand is returned as is (which will presumably yield a verification issue downstream).

Definition at line 239 of file Utils.cpp.

References convertScalarToComplexDtype(), convertScalarToFpDtype(), convertScalarToIntDtype(), emitWarning(), and mlir::Value::getType().

Referenced by mlir::linalg::createMul(), and mlir::sparse_tensor::genCast().

convertToAttribute() [1/6]

Attribute mlir::convertToAttribute	(	MLIRContext *	ctx,
		ArrayRef< int64_t >	storage
	)

Convert the provided ArrayRef<int64_t> to a DenseI64ArrayAttr attribute.

Definition at line 138 of file ODSSupport.cpp.

References mlir::detail::DenseArrayAttrImpl< T >::get().

convertToAttribute() [2/6]

Attribute mlir::convertToAttribute	(	MLIRContext *	ctx,
		bool	storage
	)

Convert the given string into a BooleanAttr.

Definition at line 76 of file ODSSupport.cpp.

References mlir::BoolAttr::get().

convertToAttribute() [3/6]

Attribute mlir::convertToAttribute	(	MLIRContext *	ctx,
		const std::string &	storage
	)

Convert the given string into a StringAttr.

Note that this takes a reference to the storage of a string property, which is an std::string.

Definition at line 61 of file ODSSupport.cpp.

References get().

convertToAttribute() [4/6]

Attribute mlir::convertToAttribute	(	MLIRContext *	ctx,
		int32_t	storage
	)

Convert the provided int32_t to an IntegerAttr attribute.

Definition at line 47 of file ODSSupport.cpp.

References get().

convertToAttribute() [5/6]

Attribute mlir::convertToAttribute	(	MLIRContext *	ctx,
		int64_t	storage
	)

Convert the provided int64_t to an IntegerAttr attribute.

Definition at line 32 of file ODSSupport.cpp.

References get().

convertToAttribute() [6/6]

static Attribute mlir::convertToAttribute ( MLIRContext *  ctx, IntegerOverflowFlags  flags  )

static

Definition at line 60 of file LLVMDialect.cpp.

References get().

convertVectorToMMAOps()

LogicalResult mlir::convertVectorToMMAOps	(	RewriterBase &	rewriter,
		Operation *	rootOp
	)

Convert vector ops to MMA matrix operations nested under rootOp.

This will convert slice of operations that can be legally converted to MMA operations. The rest of the vector operations are left untouched.

Definition at line 1242 of file VectorToGPU.cpp.

References convertBroadcastOp(), convertConstantOp(), convertContractOp(), convertElementwiseOp(), convertElementwiseOpToMMA(), convertForOp(), convertTransferReadOp(), convertTransferWriteOp(), convertYieldOp(), DBGS, and getOpToConvert().

convertVectorToNVVMCompatibleMMASync()

LogicalResult mlir::convertVectorToNVVMCompatibleMMASync	(	RewriterBase &	rewriter,
		Operation *	rootOp
	)

Convert vector ops ops nested under rootOp to vector and GPU operaitons compatible with the nvvm.mma.sync lowering path.

This will convert a slice of operations that can be legally lowered on this path while the rest of the vector operations are left untouched.

Definition at line 1275 of file VectorToGPU.cpp.

References convertConstantOpMmaSync(), convertContractOpToMmaSync(), convertExtractStridedSlice(), convertForOp(), convertTransferReadToLoads(), convertTransferWriteToStores(), convertYieldOp(), mlir::Operation::emitError(), mlir::Operation::emitOpError(), and getOpToConvert().

createAffineForToGPUPass() [1/2]

std::unique_ptr< InterfacePass< FunctionOpInterface > > mlir::createAffineForToGPUPass

(

)

Definition at line 76 of file SCFToGPUPass.cpp.

createAffineForToGPUPass() [2/2]

std::unique_ptr< InterfacePass< FunctionOpInterface > > mlir::createAffineForToGPUPass	(	unsigned	numBlockDims,
		unsigned	numThreadDims
	)

Create a pass that converts loop nests into GPU kernels.

It considers top-level affine.for operations as roots of loop nests and converts them to the gpu.launch operations if possible.

No check on the size of the block or grid, or on the validity of parallelization is performed, it is under the responsibility of the caller to strip-mine the loops and to perform the dependence analysis before calling the conversion.

Definition at line 72 of file SCFToGPUPass.cpp.

createAsyncFuncToAsyncRuntimePass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createAsyncFuncToAsyncRuntimePass

(

)

Definition at line 906 of file AsyncToAsyncRuntime.cpp.

createAsyncParallelForPass() [1/2]

std::unique_ptr< Pass > mlir::createAsyncParallelForPass

(

)

Definition at line 938 of file AsyncParallelFor.cpp.

createAsyncParallelForPass() [2/2]

std::unique_ptr< Pass > mlir::createAsyncParallelForPass	(	bool	asyncDispatch,
		int32_t	numWorkerThreads,
		int32_t	minTaskSize
	)

Definition at line 942 of file AsyncParallelFor.cpp.

createAsyncRuntimePolicyBasedRefCountingPass()

std::unique_ptr< Pass > mlir::createAsyncRuntimePolicyBasedRefCountingPass

(

)

Definition at line 563 of file AsyncRuntimeRefCounting.cpp.

createAsyncRuntimeRefCountingOptPass()

std::unique_ptr< Pass > mlir::createAsyncRuntimeRefCountingOptPass

(

)

Definition at line 234 of file AsyncRuntimeRefCountingOpt.cpp.

createAsyncRuntimeRefCountingPass()

std::unique_ptr< Pass > mlir::createAsyncRuntimeRefCountingPass

(

)

Definition at line 559 of file AsyncRuntimeRefCounting.cpp.

createAsyncToAsyncRuntimePass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createAsyncToAsyncRuntimePass

(

)

Definition at line 901 of file AsyncToAsyncRuntime.cpp.

createBufferizationToMemRefPass()

std::unique_ptr< Pass > mlir::createBufferizationToMemRefPass

(

)

Definition at line 171 of file BufferizationToMemRef.cpp.

createCanonicalizerPass() [1/2]

std::unique_ptr< Pass > mlir::createCanonicalizerPass

(

)

Creates an instance of the Canonicalizer pass, configured with default settings (which can be overridden by pass options on the command line).

Create a Canonicalizer pass.

Definition at line 74 of file Canonicalizer.cpp.

Referenced by mlir::tosa::addTosaToLinalgPasses(), mlir::bufferization::buildBufferDeallocationPipeline(), mlir::sparse_tensor::buildSparsifier(), and defaultInlinerOptPipeline().

createCanonicalizerPass() [2/2]

std::unique_ptr< Pass > mlir::createCanonicalizerPass	(	const GreedyRewriteConfig &	config,
		ArrayRef< std::string >	disabledPatterns = std::nullopt,
		ArrayRef< std::string >	enabledPatterns = std::nullopt
	)

Creates an instance of the Canonicalizer pass with the specified config.

disabledPatterns is a set of labels used to filter out input patterns with a debug label or debug name in this set. enabledPatterns is a set of labels used to filter out input patterns that do not have one of the labels in this set. Debug labels must be set explicitly on patterns or when adding them with RewritePatternSet::addWithLabel. Debug names may be empty, but patterns created with RewritePattern::create have their default debug name set to their type name.

Definition at line 80 of file Canonicalizer.cpp.

References config.

createCompositeFixedPointPass()

std::unique_ptr< Pass > mlir::createCompositeFixedPointPass	(	std::string	name,
		llvm::function_ref< void(OpPassManager &)>	populateFunc,
		int	maxIterations = 10
	)

Create composite pass, which runs provided set of passes until fixed point or maximum number of iterations reached.

Definition at line 99 of file CompositePass.cpp.

createControlFlowSinkPass()

std::unique_ptr< Pass > mlir::createControlFlowSinkPass

(

)

Creates a pass to perform control-flow sinking.

Definition at line 56 of file ControlFlowSink.cpp.

createConvertAMDGPUToROCDLPass()

std::unique_ptr< Pass > mlir::createConvertAMDGPUToROCDLPass

(

)

Definition at line 1064 of file AMDGPUToROCDL.cpp.

createConvertArmNeon2dToIntrPass()

std::unique_ptr< Pass > mlir::createConvertArmNeon2dToIntrPass

(

)

Creates a pass to lower Arm NEON 2D ops to intrinsics, i.e.

equivalent ops operating on flattened 1D vectors and mapping more directly to the corresponding Arm NEON instruction.

Definition at line 73 of file ArmNeon2dToIntr.cpp.

createConvertArmSMEToLLVMPass()

std::unique_ptr< Pass > mlir::createConvertArmSMEToLLVMPass

(

bool

dumpTileLiveRanges = false

)

Create a pass to convert from the ArmSME dialect to LLVM intrinsics.

Definition at line 1024 of file ArmSMEToLLVM.cpp.

createConvertArmSMEToSCFPass()

std::unique_ptr< Pass > mlir::createConvertArmSMEToSCFPass

(

)

Create a pass to convert a subset of ArmSME ops to SCF.

Definition at line 416 of file ArmSMEToSCF.cpp.

createConvertComplexToLibmPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createConvertComplexToLibmPass

(

)

Create a pass to convert Complex operations to libm calls.

Definition at line 148 of file ComplexToLibm.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createConvertComplexToStandardPass()

std::unique_ptr< Pass > mlir::createConvertComplexToStandardPass

(

)

Create a pass to convert Complex operations to the Standard dialect.

Definition at line 1272 of file ComplexToStandard.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createConvertControlFlowToSPIRVPass()

std::unique_ptr< OperationPass<> > mlir::createConvertControlFlowToSPIRVPass

(

)

Creates a pass to convert ControlFlow ops to SPIR-V ops.

Definition at line 56 of file ControlFlowToSPIRVPass.cpp.

createConvertFuncToSPIRVPass()

std::unique_ptr< OperationPass<> > mlir::createConvertFuncToSPIRVPass

(

)

Creates a pass to convert Func ops to SPIR-V ops.

Definition at line 54 of file FuncToSPIRVPass.cpp.

createConvertGpuLaunchFuncToVulkanLaunchFuncPass()

std::unique_ptr< mlir::OperationPass< mlir::ModuleOp > > mlir::createConvertGpuLaunchFuncToVulkanLaunchFuncPass

(

)

Definition at line 209 of file ConvertGPULaunchFuncToVulkanLaunchFunc.cpp.

createConvertGPUToSPIRVPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createConvertGPUToSPIRVPass

(

bool

mapMemorySpace = true

)

Creates a pass to convert GPU kernel ops to corresponding SPIR-V ops.

For a gpu.func to be converted, it should have a spirv.entry_point_abi attribute. If mapMemorySpace is true, performs MemRef memory space to SPIR-V mapping according to default Vulkan rules first.

Definition at line 164 of file GPUToSPIRVPass.cpp.

createConvertLinalgToStandardPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createConvertLinalgToStandardPass

(

)

Create a pass to convert Linalg operations to the Standard dialect.

Definition at line 155 of file LinalgToStandard.cpp.

createConvertMathToLibmPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createConvertMathToLibmPass

(

)

Create a pass to convert Math operations to libm calls.

Definition at line 221 of file MathToLibm.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createConvertMathToSPIRVPass()

std::unique_ptr< OperationPass<> > mlir::createConvertMathToSPIRVPass

(

)

Creates a pass to convert Math ops to SPIR-V ops.

Definition at line 56 of file MathToSPIRVPass.cpp.

createConvertMemRefToSPIRVPass()

std::unique_ptr< OperationPass<> > mlir::createConvertMemRefToSPIRVPass

(

)

Creates a pass to convert MemRef ops to SPIR-V ops.

Definition at line 58 of file MemRefToSPIRVPass.cpp.

createConvertMeshToMPIPass()

std::unique_ptr<::mlir::Pass > mlir::createConvertMeshToMPIPass

(

)

Lowers Mesh communication operations (updateHalo, AllGater, ...) to MPI primitives.

Definition at line 437 of file MeshToMPI.cpp.

createConvertOpenACCToSCFPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createConvertOpenACCToSCFPass

(

)

Create a pass to convert the OpenACC dialect into the LLVMIR dialect.

Definition at line 98 of file OpenACCToSCF.cpp.

createConvertSCFToCFPass()

std::unique_ptr< Pass > mlir::createConvertSCFToCFPass

(

)

Creates a pass to convert SCF operations to CFG branch-based operation in the ControlFlow dialect.

Definition at line 730 of file SCFToControlFlow.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createConvertSCFToSPIRVPass()

std::unique_ptr<OperationPass<> > mlir::createConvertSCFToSPIRVPass

(

)

Creates a pass to convert SCF ops into SPIR-V ops.

createConvertShapeConstraintsPass()

std::unique_ptr< Pass > mlir::createConvertShapeConstraintsPass

(

)

Definition at line 71 of file ConvertShapeConstraints.cpp.

createConvertShapeToStandardPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createConvertShapeToStandardPass

(

)

Definition at line 732 of file ShapeToStandard.cpp.

createConvertTensorToLinalgPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createConvertTensorToLinalgPass

(

)

Creates a pass to convert Tensor ops to Linalg ops.

Definition at line 50 of file TensorToLinalgPass.cpp.

createConvertTensorToSPIRVPass()

std::unique_ptr< OperationPass<> > mlir::createConvertTensorToSPIRVPass

(

)

Creates a pass to convert Tensor ops to SPIR-V ops.

Definition at line 57 of file TensorToSPIRVPass.cpp.

createConvertToLLVMPass()

std::unique_ptr< Pass > mlir::createConvertToLLVMPass

(

)

Create a pass that performs dialect conversion to LLVM for all dialects implementing ConvertToLLVMPatternInterface.

Definition at line 284 of file ConvertToLLVMPass.cpp.

createConvertVectorToArmSMEPass()

std::unique_ptr< Pass > mlir::createConvertVectorToArmSMEPass

(

)

Create a pass to lower operations from the vector dialect to Arm SME.

Definition at line 39 of file VectorToArmSMEPass.cpp.

createConvertVectorToGPUPass()

std::unique_ptr< Pass > mlir::createConvertVectorToGPUPass

(

bool

useNvGpu = false

)

Convert from vector to GPU ops.

Definition at line 1345 of file VectorToGPU.cpp.

createConvertVectorToSCFPass()

std::unique_ptr< Pass > mlir::createConvertVectorToSCFPass

(

const VectorTransferToSCFOptions &

options = VectorTransferToSCFOptions()

)

Create a pass to convert a subset of vector ops to SCF.

Definition at line 1745 of file VectorToSCF.cpp.

References options.

Referenced by mlir::sparse_tensor::buildSparsifier().

createConvertVectorToSPIRVPass()

std::unique_ptr< OperationPass<> > mlir::createConvertVectorToSPIRVPass

(

)

Creates a pass to convert Vector Ops to SPIR-V ops.

Definition at line 56 of file VectorToSPIRVPass.cpp.

createConvertVectorToXeGPUPass()

std::unique_ptr< Pass > mlir::createConvertVectorToXeGPUPass

(

)

Create a pass to convert ops from vector to XeGPU.

Definition at line 334 of file VectorToXeGPU.cpp.

createCSEPass()

std::unique_ptr< Pass > mlir::createCSEPass

(

)

Creates a pass to perform common sub expression elimination.

Definition at line 416 of file CSE.cpp.

Referenced by mlir::bufferization::buildBufferDeallocationPipeline().

createElementwiseOp()

static bool mlir::createElementwiseOp ( ConversionPatternRewriter &  builder, gpu::SubgroupMmaElementwiseOp  op, Type  coopType, ValueRange  operands  )

static

Creates a SPIR-V op to replace the given GPU subgroup mma elementwise op when the elementwise op directly supports with cooperative matrix type.

Returns false if cannot.

See SPV_KHR_cooperative_matrix for supported elementwise ops.

Definition at line 43 of file WmmaOpsToSPIRV.cpp.

References ADDI, mlir::RewriterBase::replaceOpWithNewOp(), and SUBI.

createForallToForLoopPass()

std::unique_ptr< Pass > mlir::createForallToForLoopPass

(

)

Creates a pass that converts SCF forall loops to SCF for loops.

Definition at line 72 of file ForallToFor.cpp.

createForallToParallelLoopPass()

std::unique_ptr< Pass > mlir::createForallToParallelLoopPass

(

)

Creates a pass that converts SCF forall loops to SCF parallel loops.

Definition at line 81 of file ForallToParallel.cpp.

createForLoopPeelingPass()

std::unique_ptr< Pass > mlir::createForLoopPeelingPass

(

)

Creates a pass that peels for loops at their upper bounds for better vectorization.

Definition at line 353 of file LoopSpecialization.cpp.

createForLoopRangeFoldingPass()

std::unique_ptr< Pass > mlir::createForLoopRangeFoldingPass

(

)

Creates a pass which folds arith ops on induction variable into loop range.

Definition at line 91 of file LoopRangeFolding.cpp.

createForLoopSpecializationPass()

std::unique_ptr< Pass > mlir::createForLoopSpecializationPass

(

)

Creates a pass that specializes for loop for unrolling and vectorization.

Definition at line 349 of file LoopSpecialization.cpp.

createForToWhileLoopPass()

std::unique_ptr< Pass > mlir::createForToWhileLoopPass

(

)

Definition at line 120 of file ForToWhile.cpp.

createGenerateRuntimeVerificationPass()

std::unique_ptr< Pass > mlir::createGenerateRuntimeVerificationPass

(

)

Creates a pass that generates IR to verify ops at runtime.

Definition at line 38 of file GenerateRuntimeVerification.cpp.

createGpuAsyncRegionPass()

std::unique_ptr< OperationPass< func::FuncOp > > mlir::createGpuAsyncRegionPass

(

)

Rewrites a function region so that GPU ops execute asynchronously.

Definition at line 351 of file AsyncRegionRewriter.cpp.

createGpuDecomposeMemrefsPass()

std::unique_ptr< Pass > mlir::createGpuDecomposeMemrefsPass

(

)

Pass decomposes memref ops inside gpu.launch body.

Definition at line 242 of file DecomposeMemRefs.cpp.

createGpuKernelOutliningPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createGpuKernelOutliningPass

(

StringRef

dataLayoutStr = StringRef()

)

Replaces gpu.launch with gpu.launch_func by moving the region into a separate kernel function.

Definition at line 475 of file KernelOutlining.cpp.

createGpuLauchSinkIndexComputationsPass()

std::unique_ptr< Pass > mlir::createGpuLauchSinkIndexComputationsPass

(

)

Pass that moves ops which are likely an index computation into gpu.launch body.

Definition at line 470 of file KernelOutlining.cpp.

createGpuMapParallelLoopsPass()

std::unique_ptr< mlir::OperationPass< mlir::func::FuncOp > > mlir::createGpuMapParallelLoopsPass

(

)

Maps the parallel loops found in the given function to workgroups.

The first loop encountered will be mapped to the global workgroup and the second loop encountered to the local workgroup. Within each mapping, the first three dimensions are mapped to x/y/z hardware ids and all following dimensions are mapped to sequential loops.

Definition at line 151 of file ParallelLoopMapper.cpp.

createInlinerPass() [1/3]

std::unique_ptr< Pass > mlir::createInlinerPass

(

)

Creates a pass which inlines calls and callable operations as defined by the CallGraph.

Definition at line 186 of file InlinerPass.cpp.

createInlinerPass() [2/3]

std::unique_ptr< Pass > mlir::createInlinerPass

(

llvm::StringMap< OpPassManager >

opPipelines

)

Creates an instance of the inliner pass, and use the provided pass managers when optimizing callable operations with names matching the key type.

Callable operations with a name not within the provided map will use the default inliner pipeline during optimization.

Definition at line 190 of file InlinerPass.cpp.

References defaultInlinerOptPipeline().

createInlinerPass() [3/3]

std::unique_ptr< Pass > mlir::createInlinerPass	(	llvm::StringMap< OpPassManager >	opPipelines,
		std::function< void(OpPassManager &)>	defaultPipelineBuilder
	)

Creates an instance of the inliner pass, and use the provided pass managers when optimizing callable operations with names matching the key type.

Callable operations with a name not within the provided map will use the provided default pipeline builder.

Definition at line 194 of file InlinerPass.cpp.

createLocationSnapshotPass() [1/2]

std::unique_ptr< Pass > mlir::createLocationSnapshotPass

(

)

Overload utilizing pass options for initialization.

Definition at line 157 of file LocationSnapshot.cpp.

createLocationSnapshotPass() [2/2]

std::unique_ptr< Pass > mlir::createLocationSnapshotPass	(	OpPrintingFlags	flags,
		StringRef	fileName = "",
		StringRef	tag = ""
	)

Create a pass to generate new locations by snapshotting the IR to the given file, and using the printed locations within that file.

If filename is empty, a temporary file is generated instead. If a 'tag' is non-empty, the generated locations are represented as a NameLoc with the given tag as the name, and then fused with the existing locations. Otherwise, the existing locations are replaced.

Definition at line 152 of file LocationSnapshot.cpp.

createLoopInvariantCodeMotionPass()

std::unique_ptr< Pass > mlir::createLoopInvariantCodeMotionPass

(

)

Creates a loop invariant code motion pass that hoists loop invariant instructions out of the loop.

Definition at line 60 of file LoopInvariantCodeMotion.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createLoopInvariantSubsetHoistingPass()

std::unique_ptr< Pass > mlir::createLoopInvariantSubsetHoistingPass

(

)

Creates a pass that hoists loop-invariant subset ops.

Definition at line 64 of file LoopInvariantCodeMotion.cpp.

createLowerAffinePass()

std::unique_ptr< Pass > mlir::createLowerAffinePass

(

)

Lowers affine control flow operations (ForStmt, IfStmt and AffineApplyOp) to equivalent lower-level constructs (flow of basic blocks and arithmetic primitives).

Lowers If and For operations within a function into their lower level CFG equivalent blocks.

Definition at line 575 of file AffineToStandard.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createLowerForeachToSCFPass()

std::unique_ptr< Pass > mlir::createLowerForeachToSCFPass

(

)

Definition at line 462 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createLowerGpuOpsToROCDLOpsPass()

std::unique_ptr< OperationPass< gpu::GPUModuleOp > > mlir::createLowerGpuOpsToROCDLOpsPass	(	const std::string &	chipset = "gfx900",
		unsigned	indexBitwidth = kDeriveIndexBitwidthFromDataLayout,
		bool	useBarePtrCallConv = false,
		gpu::amd::Runtime	runtime = gpu::amd::Runtime::Unknown
	)

Creates a pass that lowers GPU dialect operations to ROCDL counterparts.

The index bitwidth used for the lowering of the device side index computations is configurable.

Definition at line 405 of file LowerGpuOpsToROCDLOps.cpp.

createLowerSparseIterationToSCFPass()

std::unique_ptr< Pass > mlir::createLowerSparseIterationToSCFPass

(

)

Definition at line 466 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createLowerSparseOpsToForeachPass() [1/2]

std::unique_ptr< Pass > mlir::createLowerSparseOpsToForeachPass

(

)

Definition at line 453 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createLowerSparseOpsToForeachPass() [2/2]

std::unique_ptr< Pass > mlir::createLowerSparseOpsToForeachPass	(	bool	enableRT,
		bool	enableConvert
	)

Definition at line 458 of file SparseTensorPasses.cpp.

createMapMemRefStorageClassPass()

std::unique_ptr< OperationPass<> > mlir::createMapMemRefStorageClassPass

(

)

Creates a pass to map numeric MemRef memory spaces to symbolic SPIR-V storage classes.

The mapping is read from the command-line option.

Definition at line 326 of file MapMemRefStorageClassPass.cpp.

createOptReductionPass()

std::unique_ptr< Pass > mlir::createOptReductionPass

(

)

Definition at line 90 of file OptReductionPass.cpp.

createOutlineShapeComputationPass()

std::unique_ptr< OperationPass< ModuleOp > > mlir::createOutlineShapeComputationPass

(

)

Outline the shape computation part by adding shape.func and populate conrresponding mapping infomation into ShapeMappingAnalysis.

Definition at line 329 of file OutlineShapeComputation.cpp.

createParallelLoopFusionPass()

std::unique_ptr< Pass > mlir::createParallelLoopFusionPass

(

)

Creates a loop fusion pass which fuses parallel loops.

Definition at line 285 of file ParallelLoopFusion.cpp.

createParallelLoopSpecializationPass()

std::unique_ptr< Pass > mlir::createParallelLoopSpecializationPass

(

)

Creates a pass that specializes parallel loop for unrolling and vectorization.

Definition at line 345 of file LoopSpecialization.cpp.

createParallelLoopTilingPass()

std::unique_ptr<Pass> mlir::createParallelLoopTilingPass	(	llvm::ArrayRef< int64_t >	tileSize = {},
		bool	noMinMaxBounds = false
	)

Creates a pass which tiles innermost parallel loops.

If noMinMaxBounds, the upper bound of the inner loop will be a same value among different outter loop iterations, and an additional inbound check will be emitted inside the internal loops.

createParallelLoopToGpuPass()

std::unique_ptr< Pass > mlir::createParallelLoopToGpuPass

(

)

Creates a pass that converts scf.parallel operations into a gpu.launch operation.

The mapping of loop dimensions to launch dimensions is derived from mapping attributes. See ParallelToGpuLaunchLowering::matchAndRewrite for a description of the used attributes.

Definition at line 80 of file SCFToGPUPass.cpp.

createPDLToPDLInterpPass() [1/2]

std::unique_ptr< OperationPass< ModuleOp > > mlir::createPDLToPDLInterpPass

(

)

Creates and returns a pass to convert PDL ops to PDL interpreter ops.

Definition at line 1016 of file PDLToPDLInterp.cpp.

createPDLToPDLInterpPass() [2/2]

std::unique_ptr< OperationPass< ModuleOp > > mlir::createPDLToPDLInterpPass

(

DenseMap< Operation *, PDLPatternConfigSet * > &

configMap

)

Creates and returns a pass to convert PDL ops to PDL interpreter ops.

configMap holds a map of the configurations for each pattern being compiled.

Definition at line 1019 of file PDLToPDLInterp.cpp.

createPreSparsificationRewritePass()

std::unique_ptr< Pass > mlir::createPreSparsificationRewritePass

(

)

Definition at line 436 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createPrintIRPass()

std::unique_ptr< Pass > mlir::createPrintIRPass

(

const PrintIRPassOptions &

options = {}

)

Creates a pass to print IR on the debug stream.

Definition at line 34 of file PrintIR.cpp.

References options.

createPrintOpGraphPass()

std::unique_ptr< Pass > mlir::createPrintOpGraphPass

(

raw_ostream &

os = llvm::errs()

)

Creates a pass to print op graphs.

Definition at line 364 of file ViewOpGraph.cpp.

createPrintOpStatsPass() [1/2]

std::unique_ptr< Pass > mlir::createPrintOpStatsPass	(	raw_ostream &	os,
		bool	printAsJSON
	)

Creates a pass which prints the list of ops and the number of occurrences in the module with the output format option.

Definition at line 120 of file OpStats.cpp.

createPrintOpStatsPass() [2/2]

std::unique_ptr< Pass > mlir::createPrintOpStatsPass

(

raw_ostream &

os = llvm::errs()

)

Creates a pass which prints the list of ops and the number of occurrences in the module.

Definition at line 116 of file OpStats.cpp.

createReconcileUnrealizedCastsPass()

std::unique_ptr< Pass > mlir::createReconcileUnrealizedCastsPass

(

)

Creates a pass that eliminates noop unrealized_conversion_cast operation sequences.

Definition at line 52 of file ReconcileUnrealizedCasts.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createReductionTreePass()

std::unique_ptr< Pass > mlir::createReductionTreePass

(

)

Definition at line 259 of file ReductionTreePass.cpp.

createRemoveDeadValuesPass()

std::unique_ptr< Pass > mlir::createRemoveDeadValuesPass

(

)

Creates an optimization pass to remove dead values.

Definition at line 639 of file RemoveDeadValues.cpp.

createRemoveShapeConstraintsPass()

std::unique_ptr< OperationPass< func::FuncOp > > mlir::createRemoveShapeConstraintsPass

(

)

Definition at line 70 of file RemoveShapeConstraints.cpp.

createScalarOrSplatConstant() [1/3]

Value mlir::createScalarOrSplatConstant	(	OpBuilder &	builder,
		Location	loc,
		Type	type,
		const APFloat &	value
	)

Definition at line 296 of file Utils.cpp.

References mlir::OpBuilder::createOrFold(), mlir::DenseElementsAttr::get(), and mlir::Builder::getFloatAttr().

createScalarOrSplatConstant() [2/3]

Value mlir::createScalarOrSplatConstant	(	OpBuilder &	builder,
		Location	loc,
		Type	type,
		const APInt &	value
	)

Create a constant of type type at location loc whose value is value (an APInt or APFloat whose type must match the element type of type).

If type is a shaped type, create a splat constant of the given value. Constants are folded if possible.

Definition at line 271 of file Utils.cpp.

References mlir::OpBuilder::create(), mlir::DenseElementsAttr::get(), and mlir::Builder::getIntegerAttr().

Referenced by clampInput(), constructResultVector(), and createScalarOrSplatConstant().

createScalarOrSplatConstant() [3/3]

Value mlir::createScalarOrSplatConstant	(	OpBuilder &	builder,
		Location	loc,
		Type	type,
		int64_t	value
	)

Definition at line 284 of file Utils.cpp.

References createScalarOrSplatConstant().

createSCCPPass()

std::unique_ptr< Pass > mlir::createSCCPPass

(

)

Creates a pass which performs sparse conditional constant propagation over nested operations.

Definition at line 133 of file SCCP.cpp.

createSCFForLoopCanonicalizationPass()

std::unique_ptr< Pass > mlir::createSCFForLoopCanonicalizationPass

(

)

Creates a pass that canonicalizes affine.min and affine.max operations inside of scf.for loops with known lower and upper bounds.

Definition at line 187 of file LoopCanonicalization.cpp.

createShapeToShapeLowering()

std::unique_ptr< Pass > mlir::createShapeToShapeLowering

(

)

Creates an instance of the ShapeToShapeLowering pass that legalizes Shape dialect to be convertible to Arith.

For example, shape.num_elements get transformed to shape.reduce, which can be lowered to SCF and Arith.

Definition at line 85 of file ShapeToShapeLowering.cpp.

createSparseAssembler() [1/2]

std::unique_ptr< Pass > mlir::createSparseAssembler

(

)

Definition at line 421 of file SparseTensorPasses.cpp.

createSparseAssembler() [2/2]

std::unique_ptr<Pass> mlir::createSparseAssembler

(

bool

directOut

)

createSparseBufferRewritePass() [1/2]

std::unique_ptr< Pass > mlir::createSparseBufferRewritePass

(

)

Definition at line 485 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparseBufferRewritePass() [2/2]

std::unique_ptr< Pass > mlir::createSparseBufferRewritePass

(

bool

enableBufferInitialization

)

Definition at line 490 of file SparseTensorPasses.cpp.

createSparseGPUCodegenPass() [1/2]

std::unique_ptr< Pass > mlir::createSparseGPUCodegenPass

(

)

Definition at line 506 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier(), and mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparseGPUCodegenPass() [2/2]

std::unique_ptr< Pass > mlir::createSparseGPUCodegenPass	(	unsigned	numThreads,
		bool	enableRT
	)

Definition at line 510 of file SparseTensorPasses.cpp.

createSparseReinterpretMapPass() [1/2]

std::unique_ptr< Pass > mlir::createSparseReinterpretMapPass

(

)

Definition at line 425 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparseReinterpretMapPass() [2/2]

std::unique_ptr< Pass > mlir::createSparseReinterpretMapPass

(

ReinterpretMapScope

scope

)

Definition at line 430 of file SparseTensorPasses.cpp.

References options.

createSparseSpaceCollapsePass()

std::unique_ptr< Pass > mlir::createSparseSpaceCollapsePass

(

)

Definition at line 197 of file SparseSpaceCollapse.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparseTensorCodegenPass() [1/2]

std::unique_ptr< Pass > mlir::createSparseTensorCodegenPass

(

)

Definition at line 474 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparseTensorCodegenPass() [2/2]

std::unique_ptr< Pass > mlir::createSparseTensorCodegenPass	(	bool	createSparseDeallocs,
		bool	enableBufferInitialization
	)

Definition at line 479 of file SparseTensorPasses.cpp.

createSparseTensorConversionPass()

std::unique_ptr< Pass > mlir::createSparseTensorConversionPass

(

)

Definition at line 470 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparseVectorizationPass() [1/2]

std::unique_ptr< Pass > mlir::createSparseVectorizationPass

(

)

Definition at line 494 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparseVectorizationPass() [2/2]

std::unique_ptr< Pass > mlir::createSparseVectorizationPass	(	unsigned	vectorLength,
		bool	enableVLAVectorization,
		bool	enableSIMDIndex32
	)

Definition at line 499 of file SparseTensorPasses.cpp.

createSparsificationAndBufferizationPass() [1/2]

std::unique_ptr< mlir::Pass > mlir::createSparsificationAndBufferizationPass

(

)

Definition at line 239 of file SparsificationAndBufferizationPass.cpp.

References getBufferizationOptionsForSparsification().

Referenced by mlir::sparse_tensor::buildSparsifier().

createSparsificationAndBufferizationPass() [2/2]

std::unique_ptr< mlir::Pass > mlir::createSparsificationAndBufferizationPass	(	const bufferization::OneShotBufferizationOptions &	bufferizationOptions,
		const SparsificationOptions &	sparsificationOptions,
		bool	createSparseDeallocs,
		bool	enableRuntimeLibrary,
		bool	enableBufferInitialization,
		unsigned	vectorLength,
		bool	enableVLAVectorization,
		bool	enableSIMDIndex32,
		bool	enableGPULibgen,
		SparseEmitStrategy	emitStrategy,
		SparseParallelizationStrategy	parallelizationStrategy
	)

Definition at line 250 of file SparsificationAndBufferizationPass.cpp.

createSparsificationPass() [1/2]

std::unique_ptr< Pass > mlir::createSparsificationPass

(

)

Definition at line 440 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createSparsificationPass() [2/2]

std::unique_ptr< Pass > mlir::createSparsificationPass

(

const SparsificationOptions &

options

)

Definition at line 445 of file SparseTensorPasses.cpp.

References options.

createStageSparseOperationsPass()

std::unique_ptr< Pass > mlir::createStageSparseOperationsPass

(

)

Definition at line 449 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::SparsificationAndBufferizationPass::runOnOperation().

createStorageSpecifierToLLVMPass()

std::unique_ptr< Pass > mlir::createStorageSpecifierToLLVMPass

(

)

Definition at line 515 of file SparseTensorPasses.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createStripDebugInfoPass()

std::unique_ptr< Pass > mlir::createStripDebugInfoPass

(

)

Creates a pass to strip debug information from a function.

Definition at line 46 of file StripDebugInfo.cpp.

Referenced by mlir::sparse_tensor::buildSparsifier().

createSymbolDCEPass()

std::unique_ptr< Pass > mlir::createSymbolDCEPass

(

)

Creates a pass which delete symbol operations that are unreachable.

This pass may only be scheduled on an operation that defines a SymbolTable.

Definition at line 149 of file SymbolDCE.cpp.

createSymbolPrivatizePass()

std::unique_ptr< Pass > mlir::createSymbolPrivatizePass

(

ArrayRef< std::string >

excludeSymbols = {}

)

Creates a pass which marks top-level symbol operations as private unless listed in excludeSymbols.

Definition at line 61 of file SymbolPrivatize.cpp.

createTestSCFParallelLoopCollapsingPass()

std::unique_ptr< Pass > mlir::createTestSCFParallelLoopCollapsingPass

(

)

Creates a pass that transforms a single ParallelLoop over N induction variables into another ParallelLoop over less than N induction variables.

Definition at line 109 of file ParallelLoopCollapsing.cpp.

createTopologicalSortPass()

std::unique_ptr< Pass > mlir::createTopologicalSortPass

(

)

Creates a pass that recursively sorts nested regions without SSA dominance topologically such that, as much as possible, users of values appear after their producers.

Definition at line 38 of file TopologicalSort.cpp.

debugString()

template<typename T >

static std::string mlir::debugString ( T &&  op )

static

Definition at line 28 of file DebugStringHelper.h.

Referenced by getNodeName(), mlir::lsp::MessageHandler::onReply(), and mlir::lsp::MessageHandler::outgoingRequest().

decomposeMixedValues()

std::pair< SmallVector< int64_t >, SmallVector< Value > > mlir::decomposeMixedValues

(

const SmallVectorImpl< OpFoldResult > &

mixedValues

)

Decompose a vector of mixed static or dynamic values into the corresponding pair of arrays.

This is the inverse function of getMixedValues.

Definition at line 211 of file StaticValueUtils.cpp.

delinearize() [1/3]

SmallVector< AffineExpr > mlir::delinearize	(	AffineExpr	linearIndex,
		ArrayRef< AffineExpr >	strides
	)

Given the strides together with a linear index in the dimension space, return the vector-space offsets in each dimension for a de-linearized index.

Let li = linearIndex, assuming strides are [s0, .. sn], return the vector of AffineExpr [li % s0, (li / s0) % s1, ..., (li / s0 / .. / sn-1) % sn]

It is the caller's responsibility to pass proper AffineExpr kind that result in valid AffineExpr (i.e. cannot multiply 2 AffineDimExpr or divide by an AffineDimExpr).

strides elements are expected to bind to non-negative values.

Definition at line 187 of file IndexingUtils.cpp.

References delinearizeImpl(), and mlir::AffineExpr::floorDiv().

delinearize() [2/3]

SmallVector< AffineExpr > mlir::delinearize	(	AffineExpr	linearIndex,
		ArrayRef< int64_t >	strides
	)

Definition at line 194 of file IndexingUtils.cpp.

References delinearize(), getAffineConstantExprs(), and mlir::AffineExpr::getContext().

delinearize() [3/3]

SmallVector< int64_t > mlir::delinearize	(	int64_t	linearIndex,
		ArrayRef< int64_t >	strides
	)

Given the strides together with a linear index in the dimension space, return the vector-space offsets in each dimension for a de-linearized index.

strides elements are asserted to be non-negative.

Let li = linearIndex, assuming strides are [s0, .. sn], return the vector of int64_t [li % s0, (li / s0) % s1, ..., (li / s0 / .. / sn-1) % sn]

Definition at line 107 of file IndexingUtils.cpp.

References delinearizeImpl().

Referenced by commonLinearIdBuilderFn(), createParallelComputeFunction(), delinearize(), foreachIndividualVectorElement(), mlir::detail::TileOffsetRangeImpl::getDynamicTileOffsets(), mlir::detail::TileOffsetRangeImpl::getStaticTileOffsets(), handleMultidimensionalVectors(), and resolveSourceIndicesCollapseShape().

denormalizeInductionVariable()

void mlir::denormalizeInductionVariable	(	RewriterBase &	rewriter,
		Location	loc,
		Value	normalizedIv,
		OpFoldResult	origLb,
		OpFoldResult	origStep
	)

Get back the original induction variable values after loop normalization.

Definition at line 764 of file Utils.cpp.

References mlir::OpBuilder::create(), denormalizeInductionVariableForIndexType(), mlir::Value::getDefiningOp(), getType(), getValueOrCreateConstantIntOp(), isConstantIntValue(), and mlir::RewriterBase::replaceAllUsesExcept().

Referenced by coalesceLoops(), and collapseParallelLoops().

dispatchIndexOpFoldResult()

void mlir::dispatchIndexOpFoldResult	(	OpFoldResult	ofr,
		SmallVectorImpl< Value > &	dynamicVec,
		SmallVectorImpl< int64_t > &	staticVec
	)

Helper function to dispatch an OpFoldResult into staticVec if: a) it is an IntegerAttr In other cases, the OpFoldResult is dispached to the dynamicVec.

In such dynamic cases, ShapedType::kDynamic is also pushed to staticVec. This is useful to extract mixed static and dynamic entries that come from an AttrSizedOperandSegments trait.

In such dynamic cases, a copy of the sentinel value is also pushed to staticVec. This is useful to extract mixed static and dynamic entries that come from an AttrSizedOperandSegments trait.

Definition at line 48 of file StaticValueUtils.cpp.

Referenced by dispatchIndexOpFoldResults().

dispatchIndexOpFoldResults()

void mlir::dispatchIndexOpFoldResults	(	ArrayRef< OpFoldResult >	ofrs,
		SmallVectorImpl< Value > &	dynamicVec,
		SmallVectorImpl< int64_t > &	staticVec
	)

Helper function to dispatch multiple OpFoldResults according to the behavior of dispatchIndexOpFoldResult(OpFoldResult ofr for a single OpFoldResult.

Definition at line 75 of file StaticValueUtils.cpp.

References dispatchIndexOpFoldResult().

Referenced by mlir::tensor::bubbleUpPadSlice(), getStaticTilesImpl(), and inferCastResultType().

dropDims()

SmallVector< int64_t > mlir::dropDims	(	ArrayRef< int64_t >	inputPerm,
		ArrayRef< int64_t >	dropPositions
	)

Returns a permutation vector that drop the input dims in dropPositions from inputPerm.

For example, inputPerm = {2, 4, 0, 1, 3} and dropPositions= {1, 2} would result in a {2, 0, 1} permutation vector.

Definition at line 255 of file IndexingUtils.cpp.

Referenced by SwapTransposeWithBroadcast::matchAndRewrite().

eliminateCommonSubExpressions()

void mlir::eliminateCommonSubExpressions	(	RewriterBase &	rewriter,
		DominanceInfo &	domInfo,
		Operation *	op,
		bool *	changed = nullptr
	)

Eliminate common subexpressions within the given operation.

This transform looks for and deduplicates equivalent operations.

changed indicates whether the IR was modified or not.

Definition at line 382 of file CSE.cpp.

References changed.

emitDefiniteFailure() [1/2]

DiagnosedDefiniteFailure mlir::emitDefiniteFailure ( Location  loc, const Twine &  message  )

inline

Emits a definite failure with the given message.

The returned object allows for last-minute modification to the error message, such as attaching notes and completing the message. It will be reported when the object is destructed or converted.

Definition at line 243 of file DiagnosedSilenceableFailure.h.

Referenced by mlir::transform::TransformState::applyTransform(), and definiteFailureHelper().

emitDefiniteFailure() [2/2]

DiagnosedDefiniteFailure mlir::emitDefiniteFailure ( Operation *  op, const Twine &  message = {}  )

inline

Definition at line 247 of file DiagnosedSilenceableFailure.h.

emitError() [1/2]

InFlightDiagnostic mlir::emitError

(

Location

loc

)

Utility method to emit an error message using this location.

Emit an error message using this location.

Definition at line 328 of file Diagnostics.cpp.

Referenced by mlir::AllocationOpLLVMLowering::allocateBufferManuallyAlign(), applyPartialOneToNConversion(), applyPassManagerCLOptions(), mlir::ROCDL::SerializeGPUModuleBase::assembleIsa(), buildSequentialConstant(), mlir::transform::detail::checkApplyToOne(), checkDeclareOperands(), checkedAddLLVMFnAttribute(), mlir::transform::detail::checkNestedConsumption(), checkTensorElementType(), cleanupPrivateVars(), mlir::detail::constructContainerOpForParserIfNecessary(), convertCallLLVMIntrinsicOp(), mlir::LLVM::ModuleImport::convertDataLayout(), convertDenseArrayFromAttr(), convertDenseResourceElementsAttr(), convertFromAttribute(), mlir::LLVM::ModuleImport::convertGlobals(), mlir::LLVM::ModuleImport::convertValue(), CpAsyncBulkTensorCommonVerifier(), mlir::ControlFlowToSCFTransformation::createUnreachableTerminator(), deserializeCacheControlDecoration(), deserializeModule(), mlir::spirv::Deserializer::processOp< spirv::CopyMemoryOp >(), mlir::spirv::Deserializer::processOp< spirv::EntryPointOp >(), mlir::spirv::Deserializer::processOp< spirv::ExecutionModeOp >(), mlir::spirv::Deserializer::processOp< spirv::FunctionCallOp >(), mlir::spirv::Deserializer::processOp< spirv::GenericCastToPtrExplicitOp >(), mlir::ImplicitLocOpBuilder::emitError(), mlir::Operation::emitError(), mlir::detail::Parser::emitError(), emitOptionalError(), mlir::transform::detail::expandPathsToMLIRFiles(), mlir::quant::fakeQuantAttrsToType(), mlir::detail::PassCrashReproducerGenerator::finalize(), mlir::detail::OpPassManagerImpl::finalizePassList(), forwardPassthroughAttributes(), mlir::DynamicType::get(), getAttrOrTypeVerifier(), mlir::gpu::MMAMatrixType::getChecked(), mlir::DynamicAttr::getChecked(), mlir::DynamicType::getChecked(), mlir::spirv::MatrixType::getChecked(), mlir::quant::CalibratedQuantizedType::getChecked(), mlir::spirv::SampledImageType::getChecked(), mlir::quant::UniformQuantizedPerAxisType::getChecked(), mlir::quant::UniformQuantizedType::getChecked(), mlir::quant::AnyQuantizedType::getChecked(), mlir::detail::getDefaultDiagnosticEmitFn(), mlir::spirv::getElementPtrType(), getElementType(), getInsertExtractValueElementType(), mlir::LLVM::detail::getLLVMConstant(), mlir::bufferization::DeallocationState::getMemrefsAndConditionsToDeallocate(), getOverloadedDeclaration(), getScalarConstantAsAttr(), mlir::tracing::InstallDebugHandler::Impl::Impl(), mlir::LLVMImportInterface::initializeImport(), irdlAttrOrTypeVerifier(), irdlOpVerifier(), loadIRDLDialects(), mlirAsmStateCreateForValue(), mlirEmitError(), mlirLLVMStructTypeLiteralGetChecked(), mlirReduceMain(), mlir::Op< ConcreteType, Traits >::parseProperties(), mlir::transform::detail::parseTransformModuleFromFile(), performActions(), mlir::spirv::processDecorationList(), mlir::dlti::query(), readBytecodeFileImpl(), registerFromLLVMIRTranslation(), reshapeLikeShapesAreCompatible(), mlir::PassManager::run(), mlir::OperationName::setOpPropertiesFromAttribute(), mlir::MlirOptMainConfig::setPassPipelineParser(), mlir::OperationState::setProperties(), mlir::DynamicOpDefinition::setPropertiesFromAttr(), mlir::RegisteredOperationName::Model< ConcreteOp >::setPropertiesFromAttr(), translateDataLayout(), mlir::DynamicAttrDefinition::verify(), mlir::DynamicTypeDefinition::verify(), mlir::irdl::IsConstraint::verify(), mlir::irdl::BaseAttrConstraint::verify(), mlir::irdl::BaseTypeConstraint::verify(), mlir::irdl::DynParametricAttrConstraint::verify(), mlir::irdl::DynParametricTypeConstraint::verify(), mlir::irdl::AnyOfConstraint::verify(), mlir::irdl::AllOfConstraint::verify(), mlir::irdl::ConstraintVerifier::verify(), mlir::irdl::RegionConstraint::verify(), mlir::detail::verifyDataLayoutSpec(), verifyDimensionCompatibility(), verifyEntries(), verifyGatherOperandAndResultShape(), verifyInGroupDevice(), mlir::OperationName::verifyInherentAttrs(), mlir::RegisteredOperationName::Model< ConcreteOp >::verifyInherentAttrs(), mlir::gpu::MMAMatrixType::verifyInvariants(), mlir::spirv::InterfaceVarABIAttr::verifyInvariants(), mlir::spirv::VerCapExtAttr::verifyInvariants(), mlir::spirv::MatrixType::verifyInvariants(), mlir::quant::CalibratedQuantizedType::verifyInvariants(), mlir::spirv::SampledImageType::verifyInvariants(), mlir::quant::UniformQuantizedPerAxisType::verifyInvariants(), mlir::quant::UniformQuantizedType::verifyInvariants(), mlir::quant::QuantizedType::verifyInvariants(), mlir::quant::AnyQuantizedType::verifyInvariants(), verifyMapClause(), verifyMeshAxes(), verifyPrivateVarsMapping(), verifyRegionAttribute(), verifyScatterOrSliceOperandAndResultShape(), mlir::detail::verifyTargetSystemSpec(), and verifyVectorConstructionInvariants().

emitError() [2/2]

InFlightDiagnostic mlir::emitError	(	Location	loc,
		const Twine &	message
	)

Definition at line 329 of file Diagnostics.cpp.

References emitDiag(), and Error.

emitNormalizedLoopBounds()

Range mlir::emitNormalizedLoopBounds	(	RewriterBase &	rewriter,
		Location	loc,
		OpFoldResult	lb,
		OpFoldResult	ub,
		OpFoldResult	step
	)

Materialize bounds and step of a zero-based and unit-step loop derived by normalizing the specified bounds and step.

Definition at line 693 of file Utils.cpp.

References mlir::OpBuilder::createOrFold(), emitNormalizedLoopBoundsForIndexType(), getConstantIntValue(), mlir::Builder::getOneAttr(), getType(), getValueOrCreateConstantIntOp(), and mlir::Builder::getZeroAttr().

Referenced by coalesceLoops(), collapseParallelLoops(), and normalizeForallOp().

emitOptionalError()

template<typename... Args>

LogicalResult mlir::emitOptionalError	(	std::optional< Location >	loc,
		Args &&...	args
	)

Overloads of the above emission functions that take an optionally null location.

If the location is null, no diagnostic is emitted and a failure is returned. Given that the provided location may be null, these methods take the diagnostic arguments directly instead of relying on the returned InFlightDiagnostic.

Definition at line 497 of file Diagnostics.h.

References mlir::InFlightDiagnostic::append(), and emitError().

Referenced by mlir::arith::getIdentityValueAttr(), mlir::arith::getReductionOp(), and mlir::vector::getVectorReductionOp().

emitOptionalRemark()

template<typename... Args>

LogicalResult mlir::emitOptionalRemark	(	std::optional< Location >	loc,
		Args &&...	args
	)

Definition at line 509 of file Diagnostics.h.

References mlir::InFlightDiagnostic::append(), and emitRemark().

emitOptionalWarning()

template<typename... Args>

LogicalResult mlir::emitOptionalWarning	(	std::optional< Location >	loc,
		Args &&...	args
	)

Definition at line 503 of file Diagnostics.h.

References mlir::InFlightDiagnostic::append(), and emitWarning().

emitRemark() [1/2]

InFlightDiagnostic mlir::emitRemark

(

Location

loc

)

Utility method to emit a remark message using this location.

Emit a remark message using this location.

Definition at line 342 of file Diagnostics.cpp.

Referenced by emitOptionalRemark(), mlir::ImplicitLocOpBuilder::emitRemark(), and mlir::Operation::emitRemark().

emitRemark() [2/2]

InFlightDiagnostic mlir::emitRemark	(	Location	loc,
		const Twine &	message
	)

Definition at line 345 of file Diagnostics.cpp.

References emitDiag(), and Remark.

emitSilenceableFailure() [1/2]

DiagnosedSilenceableFailure mlir::emitSilenceableFailure ( Location  loc, const Twine &  message = {}  )

inline

Emits a silenceable failure with the given message.

A silenceable failure must be either suppressed or converted into a definite failure and reported to the user.

Definition at line 256 of file DiagnosedSilenceableFailure.h.

Referenced by containsAll(), dispatchMappedValues(), mlir::transform::expandTargetSpecification(), mlir::transform::TrackingListener::findReplacementOp(), isOpSibling(), pipelineForSharedCopies(), verifyNamedSequenceOp(), and verifyYieldingSingleBlockOp().

emitSilenceableFailure() [2/2]

DiagnosedSilenceableFailure mlir::emitSilenceableFailure ( Operation *  op, const Twine &  message = {}  )

inline

Definition at line 262 of file DiagnosedSilenceableFailure.h.

emitWarning() [1/2]

InFlightDiagnostic mlir::emitWarning

(

Location

loc

)

Utility method to emit a warning message using this location.

Emit a warning message using this location.

Definition at line 334 of file Diagnostics.cpp.

Referenced by mlir::LLVM::ModuleImport::convertDataLayout(), convertScalarToDtype(), emitOptionalWarning(), mlir::ImplicitLocOpBuilder::emitWarning(), mlir::Operation::emitWarning(), mlir::GPUFuncOpLowering::matchAndRewrite(), mlir::LLVM::ModuleImport::processFunction(), processPassthroughAttrs(), mlir::LLVM::detail::LoopAnnotationImporter::translateAccessGroup(), and verifyFunctionLikeConsumeAnnotations().

emitWarning() [2/2]

InFlightDiagnostic mlir::emitWarning	(	Location	loc,
		const Twine &	message
	)

Definition at line 337 of file Diagnostics.cpp.

References emitDiag(), and Warning.

encodeBindAttribute()

void mlir::encodeBindAttribute

(

ModuleOp

module

)

Encodes global variable's descriptor set and binding into its name if they both exist.

Definition at line 1992 of file SPIRVToLLVM.cpp.

References get(), kBinding, kDescriptorSet, mlir::SymbolTable::replaceAllSymbolUses(), and mlir::SymbolTable::setSymbolName().

eraseUnreachableBlocks()

LogicalResult mlir::eraseUnreachableBlocks	(	RewriterBase &	rewriter,
		MutableArrayRef< Region >	regions
	)

Erase the unreachable blocks within the provided regions.

Returns success if any blocks were erased, failure otherwise.

Definition at line 183 of file RegionUtils.cpp.

References mlir::Region::begin(), mlir::Region::empty(), mlir::Region::end(), mlir::RewriterBase::eraseBlock(), and mlir::Region::front().

Referenced by simplifyRegions().

expandDimsToRank()

AffineMap mlir::expandDimsToRank	(	AffineMap	map,
		int64_t	rank,
		const llvm::SmallBitVector &	projectedDimensions
	)

Expand map to operate on rank dims while projecting out the dims in projectedDimensions.

This amounts to composing map with id(rank).dropResults(projectedDimensions).

Definition at line 955 of file AffineMap.cpp.

References mlir::AffineMap::compose(), mlir::AffineMap::dropResults(), mlir::AffineMap::getContext(), and mlir::AffineMap::getMultiDimIdentityMap().

extractFixedOuterLoops()

TileLoops mlir::extractFixedOuterLoops	(	scf::ForOp	rootFOrOp,
		ArrayRef< int64_t >	sizes
	)

Definition at line 1322 of file Utils.cpp.

References ceilDivPositive(), mlir::OpBuilder::create(), getPerfectlyNestedLoopsImpl(), tile(), and tryIsolateBands().

extractFromIntegerArrayAttr()

template<typename IntTy >

SmallVector<IntTy> mlir::extractFromIntegerArrayAttr

(

Attribute

attr

)

Extract integer values from the assumed ArrayAttr of IntegerAttr.

Definition at line 84 of file StaticValueUtils.h.

failableParallelForEach() [1/2]

template<typename IteratorT , typename FuncT >

LogicalResult mlir::failableParallelForEach	(	MLIRContext *	context,
		IteratorT	begin,
		IteratorT	end,
		FuncT &&	func
	)

Invoke the given function on the elements between [begin, end) asynchronously.

If the given function returns a failure when processing any of the elements, execution is stopped and a failure is returned from this function. This means that in the case of failure, not all elements of the range will be processed. Diagnostics emitted during processing are ordered relative to the element's position within [begin, end). If the provided context does not have multi-threading enabled, this function always processes elements sequentially.

Definition at line 36 of file Threading.h.

References mlir::ParallelDiagnosticHandler::eraseOrderIDForThread(), mlir::MLIRContext::isMultithreadingEnabled(), and mlir::ParallelDiagnosticHandler::setOrderIDForThread().

Referenced by failableParallelForEach(), failableParallelForEachN(), and parallelForEach().

failableParallelForEach() [2/2]

template<typename RangeT , typename FuncT >

LogicalResult mlir::failableParallelForEach	(	MLIRContext *	context,
		RangeT &&	range,
		FuncT &&	func
	)

Invoke the given function on the elements in the provided range asynchronously.

If the given function returns a failure when processing any of the elements, execution is stopped and a failure is returned from this function. This means that in the case of failure, not all elements of the range will be processed. Diagnostics emitted during processing are ordered relative to the element's position within the range. If the provided context does not have multi-threading enabled, this function always processes elements sequentially.

Definition at line 90 of file Threading.h.

References failableParallelForEach().

failableParallelForEachN()

template<typename FuncT >

LogicalResult mlir::failableParallelForEachN	(	MLIRContext *	context,
		size_t	begin,
		size_t	end,
		FuncT &&	func
	)

Invoke the given function on the elements between [begin, end) asynchronously.

If the given function returns a failure when processing any of the elements, execution is stopped and a failure is returned from this function. This means that in the case of failure, not all elements of the range will be processed. Diagnostics emitted during processing are ordered relative to the element's position within [begin, end). If the provided context does not have multi-threading enabled, this function always processes elements sequentially.

Definition at line 105 of file Threading.h.

References failableParallelForEach().

filterTypesOut()

TypeRange mlir::filterTypesOut	(	TypeRange	types,
		const BitVector &	indices,
		SmallVectorImpl< Type > &	storage
	)

Filters out any elements referenced by indices.

If any types are removed, storage is used to hold the new type list. Returns the new type list.

Definition at line 195 of file TypeUtilities.cpp.

finalizeParallelLoopToGPUConversion()

void mlir::finalizeParallelLoopToGPUConversion

(

Operation *

op

)

Clean up after applyPartialConversion/applyFullConversion call.

Definition at line 687 of file SCFToGPU.cpp.

References kVisitedAttrName, and mlir::Operation::walk().

findPositionsOfType()

void mlir::findPositionsOfType ( ArrayRef< utils::IteratorType >  iteratorTypes, utils::IteratorType  iteratorTypeName, SmallVectorImpl< unsigned > &  res  )

inline

Return positions in iteratorTypes that match iteratorTypeName.

Definition at line 77 of file StructuredOpsUtils.h.

References mlir::detail::enumerate().

foldAttributesIntoMap()

AffineMap mlir::foldAttributesIntoMap	(	Builder &	b,
		AffineMap	map,
		ArrayRef< OpFoldResult >	operands,
		SmallVector< Value > &	remainingValues
	)

Fold all attributes among the given operands into the affine map.

Return the folded affine map. Return all remaining values via remainingValues.

Definition at line 745 of file AffineMap.cpp.

References mlir::Builder::getAffineConstantExpr(), mlir::Builder::getAffineDimExpr(), mlir::Builder::getAffineSymbolExpr(), mlir::AffineMap::getNumDims(), mlir::AffineMap::getNumSymbols(), and mlir::AffineMap::replaceDimsAndSymbols().

Referenced by mlir::ValueBoundsConstraintSet::areOverlappingSlices(), mlir::affine::makeComposedAffineApply(), and makeComposedMinMax().

foldDynamicIndexList()

LogicalResult mlir::foldDynamicIndexList	(	SmallVectorImpl< OpFoldResult > &	ofrs,
		bool	onlyNonNegative = false,
		bool	onlyNonZero = false
	)

Returns "success" when any of the elements in ofrs is a constant value.

In that case the value is replaced by an attribute. Returns "failure" when no folding happened. If onlyNonNegative and onlyNonZero are set, only non-negative and non-zero constant values are folded respectively.

Definition at line 293 of file StaticValueUtils.cpp.

References getConstantIntValue(), m_Constant(), and matchPattern().

Referenced by foldDynamicOffsetSizeList(), foldDynamicStrideList(), and mlir::OpWithOffsetSizesAndStridesConstantArgumentFolder< OpType, ResultTypeFn, CastOpFunc >::matchAndRewrite().

foldDynamicOffsetSizeList()

LogicalResult mlir::foldDynamicOffsetSizeList

(

SmallVectorImpl< OpFoldResult > &

offsetsOrSizes

)

Returns "success" when any of the elements in offsetsOrSizes is a constant value.

In that case the value is replaced by an attribute. Returns "failure" when no folding happened. Invalid values are not folded to avoid canonicalization crashes.

Definition at line 314 of file StaticValueUtils.cpp.

References foldDynamicIndexList().

foldDynamicStrideList()

LogicalResult mlir::foldDynamicStrideList

(

SmallVectorImpl< OpFoldResult > &

strides

)

Returns "success" when any of the elements in strides is a constant value.

In that case the value is replaced by an attribute. Returns "failure" when no folding happened. Invalid values are not folded to avoid canonicalization crashes.

Definition at line 319 of file StaticValueUtils.cpp.

References foldDynamicIndexList().

foldReshapeOp()

template<typename ReshapeOpTy , typename InverseReshapeOpTy >

static OpFoldResult mlir::foldReshapeOp ( ReshapeOpTy  reshapeOp, ArrayRef< Attribute >  operands  )

static

Definition at line 86 of file ReshapeOpsUtils.h.

fuseIndependentSiblingForallLoops()

scf::ForallOp mlir::fuseIndependentSiblingForallLoops	(	scf::ForallOp	target,
		scf::ForallOp	source,
		RewriterBase &	rewriter
	)

Given two scf.forall loops, target and source, fuses target into source.

Assumes that the given loops are siblings and are independent of each other.

This function does not perform any legality checks and simply fuses the loops. The caller is responsible for ensuring that the loops are legal to fuse.

Definition at line 1364 of file Utils.cpp.

References mlir::OpBuilder::clone(), mlir::OpBuilder::create(), mlir::IRMapping::map(), mlir::RewriterBase::replaceOp(), mlir::OpBuilder::setInsertionPointAfter(), and mlir::OpBuilder::setInsertionPointToStart().

fuseIndependentSiblingForLoops()

scf::ForOp mlir::fuseIndependentSiblingForLoops	(	scf::ForOp	target,
		scf::ForOp	source,
		RewriterBase &	rewriter
	)

Given two scf.for loops, target and source, fuses target into source.

Assumes that the given loops are siblings and are independent of each other.

This function does not perform any legality checks and simply fuses the loops. The caller is responsible for ensuring that the loops are legal to fuse.

Definition at line 1416 of file Utils.cpp.

References mlir::OpBuilder::clone(), mlir::OpBuilder::create(), mlir::IRMapping::map(), mlir::RewriterBase::replaceOp(), mlir::OpBuilder::setInsertionPointAfter(), and mlir::OpBuilder::setInsertionPointToStart().

generateLocationsFromIR() [1/4]

void mlir::generateLocationsFromIR	(	raw_ostream &	os,
		StringRef	fileName,
		Operation *	op,
		OpPrintingFlags	flags
	)

This function generates new locations from the given IR by snapshotting the IR to the given stream, and using the printed locations within that stream.

The generated locations replace the current operation locations.

Definition at line 101 of file LocationSnapshot.cpp.

Referenced by generateLocationsFromIR(), and generateLocationsFromIR().

generateLocationsFromIR() [2/4]

void mlir::generateLocationsFromIR	(	raw_ostream &	os,
		StringRef	fileName,
		StringRef	tag,
		Operation *	op,
		OpPrintingFlags	flags
	)

This function generates new locations from the given IR by snapshotting the IR to the given stream, and using the printed locations within that stream.

The generated locations are represented as a NameLoc with the given tag as the name, and then fused with the existing locations.

Definition at line 117 of file LocationSnapshot.cpp.

References generateLocationsFromIR().

generateLocationsFromIR() [3/4]

LogicalResult mlir::generateLocationsFromIR	(	StringRef	fileName,
		Operation *	op,
		OpPrintingFlags	flags
	)

This function generates new locations from the given IR by snapshotting the IR to the given file, and using the printed locations within that file.

If filename is empty, a temporary file is generated instead.

Definition at line 108 of file LocationSnapshot.cpp.

References generateLocationsFromIR().

generateLocationsFromIR() [4/4]

LogicalResult mlir::generateLocationsFromIR	(	StringRef	fileName,
		StringRef	tag,
		Operation *	op,
		OpPrintingFlags	flags
	)

This function generates new locations from the given IR by snapshotting the IR to the given file, and using the printed locations within that file.

If filename is empty, a temporary file is generated instead.

Definition at line 125 of file LocationSnapshot.cpp.

References generateLocationsFromIR().

get()

template<typename T , typename... Ts>

auto mlir::get	(	MLIRContext *	context,
		Ts &&...	params
	)

Helper method that injects context only if needed, this helps unify some of the attribute construction methods.

Definition at line 509 of file BytecodeImplementation.h.

Referenced by addAtomicRMW(), mlir::OperationState::addAttribute(), addComdat(), mlir::ROCDL::SerializeGPUModuleBase::addControlVariables(), addOpaquePointerConversion(), addResumeFunction(), addScopeToFunction(), allocateSubviewGPUMemoryInAddressSpace(), allocBuffer(), mlir::sparse_tensor::allocDenseTensor(), mlir::NamedAttrList::append(), mlir::NVVM::SerializeGPUModuleBase::appendStandardLibs(), mlir::ROCDL::SerializeGPUModuleBase::appendStandardLibs(), appendX1Dim(), applyPad(), applyPassManagerCLOptions(), applyToIntegerAttrs(), areAllIndicesI32(), mlir::transform::detail::assembleTransformLibraryFromPaths(), bitAndAddrspaceCast(), broadcast(), mlir::tensor::bubbleUpPadSlice(), mlir::bufferization::func_ext::FuncOpInterface::bufferize(), mlir::NVVM::PtxBuilder::build(), mlir::affine::AffineDmaStartOp::build(), mlir::affine::AffineDmaWaitOp::build(), HopperBuilder::buildAndInitBarrierInSharedMemory(), mlir::bufferization::buildDeallocationLibraryFunction(), HopperBuilder::buildGlobalMemRefDescriptor(), buildLLVMFunctionType(), buildPackingLoopNestImpl(), mlir::tosa::buildQTypeAttrFromMinMax(), buildSequentialConstant(), buildUnrealizedCast(), calculateMemoryRequirements(), castAllocFuncResult(), mlir::quant::QuantizedType::castFromExpressedType(), mlir::quant::QuantizedType::castFromStorageType(), castToCompatibleMemRefType(), castToElemPtrPtr(), mlir::quant::QuantizedType::castToExpressedType(), mlir::quant::QuantizedType::castToStorageType(), checkedAddLLVMFnAttribute(), mlir::TensorType::cloneWith(), mlir::BaseMemRefType::cloneWith(), mlir::linalg::collapseOpIterationDims(), collapseValue(), collectSymbolScopes(), collectValidReferencesFor(), computeCollapsedLayoutMap(), computeExpandedLayoutMap(), concatArrayAttr(), mlir::AffineMap::constantFold(), constFoldBinaryOpConditional(), constFoldCastOp(), constFoldUnaryOpConditional(), mlir::detail::constructSubElementReplacement(), mlir::quant::ExpressedToQuantizedConverter::convert(), mlir::arith::convertArithFastMathAttrToLLVM(), mlir::arith::convertArithRoundingModeAttrToLLVM(), convertArrayType(), convertDataOp(), convertFuncOpToLLVMFuncOp(), convertFuncOpTypes(), mlir::LLVMTypeConverter::convertFunctionTypeCWrapper(), mlir::LLVM::ModuleImport::convertGlobals(), convertIntegerArrayToMDNode(), convertIntegerToMDNode(), convertIntegerToMetadata(), mlir::LLVM::ModuleImport::convertIntrinsicArguments(), convertIntrinsicResult(), convertIteratorType(), convertIterSpaceType(), convertLevelType(), convertLinkerOptionsOp(), convertOmpCritical(), convertOmpMasked(), convertOperationImpl(), convertPointerType(), convertRuntimeArrayType(), convertStandaloneDataOp(), convertToAttribute(), convertTransferReadOp(), mlir::LLVM::ModuleImport::convertValue(), convertVecTypeHint(), convertVecTypeHintToMDNode(), convTypes(), convVals(), mlir::ConvertToLLVMPattern::copyUnrankedDescriptors(), mlir::DistinctAttr::create(), createAsyncDispatchFunction(), mlir::nvgpu::createAsyncGroups(), createConstFromIntAttribute(), createCtlzFunc(), createCustomDialectWrapper(), createDimGetterFunctionCall(), createElementFPowIFunc(), createElementIPowIFunc(), createFullPartialVectorTransferRead(), createFullPartialVectorTransferWrite(), mlir::LLVM::createGlobalString(), createGroupReduceOpImpl(), createI32ConstantOf(), createIfNonNull(), createLinalgBodyCalculationForElementwiseOp(), createNewAliasScopesFromNoAliasParameter(), createNonLdMatrixLoads(), mlir::LLVM::createPrintStrCall(), createPrivateMemRef(), createQuickSort(), mlir::vector::createReadOrMaskedRead(), createSortStableFunc(), createVL(), createWriteOrMaskedWrite(), deepCloneAliasScopes(), defaultAllocBufferCallBack(), deserializeCacheControlDecoration(), deserializeModule(), mlir::spirv::Deserializer::processOp< spirv::EntryPointOp >(), mlir::spirv::Deserializer::processOp< spirv::ExecutionModeOp >(), mlir::spirv::Deserializer::processOp< spirv::FunctionCallOp >(), diagnoseInvalidOperandDominance(), mlir::detail::divideCeil(), doAsyncDispatch(), doSequentialDispatch(), dropTrailingX1Dim(), dumpIndexMemRef(), PyAttrBuilderMap::dundeGetItemNamed(), PyAttrBuilderMap::dunderContains(), PyAttrBuilderMap::dundeSetItemNamed(), emulatedVectorLoad(), encodeBindAttribute(), encodeKernelName(), mlir::tosa::EqualizeRanks(), mlir::function_interface_impl::eraseFunctionArguments(), mlir::function_interface_impl::eraseFunctionResults(), expandRank(), extendVectorRank(), mlir::detail::OpPassManagerImpl::finalizePassList(), finalizeWhileOp(), findPayloadRoot(), flattenVecToBits(), foldBinaryOpChecked(), foldBinaryOpUnchecked(), foldCastOp(), foldDynamicToStaticDimSizes(), foldMemRefCasts(), foldMinMaxOp(), mlir::sparse_tensor::foreachFieldAndTypeInSparseTensor(), mlir::sparse_tensor::genAlloca(), mlir::sparse_tensor::genAllocaScalar(), mlir::sparse_tensor::FuncCallOrInlineGenerator< SubClass >::genCallOrInline(), generateCopy(), generateNewRefAttr(), genExpand(), mlir::sparse_tensor::genReader(), genSliceToSize(), mlir::sparse_tensor::genToMemref(), mlir::sparse_tensor::genValFromAttr(), mlir::gpu::MMAMatrixType::get(), mlir::spirv::StructType::get(), mlir::spirv::InterfaceVarABIAttr::get(), mlir::spirv::VerCapExtAttr::get(), mlir::detail::DenseArrayAttrImpl< T >::get(), mlir::DenseElementsAttr::get(), mlir::detail::DenseResourceElementsAttrBase< T >::get(), mlir::spirv::ImageType::get(), mlir::FileLineColLoc::get(), mlir::FlatSymbolRefAttr::get(), mlir::spirv::MatrixType::get(), mlir::spirv::RuntimeArrayType::get(), mlir::spirv::CooperativeMatrixType::get(), mlir::spirv::ArrayType::get(), mlir::quant::CalibratedQuantizedType::get(), mlir::spirv::SampledImageType::get(), mlir::spirv::PointerType::get(), mlir::quant::UniformQuantizedPerAxisType::get(), mlir::quant::UniformQuantizedType::get(), mlir::quant::AnyQuantizedType::get(), mlir::spirv::TargetEnvAttr::get(), mlir::LLVM::detail::LoopAnnotationTranslation::getAccessGroups(), mlir::Builder::getAffineMapArrayAttr(), mlir::affine::AffineDmaStartOp::getAffineMapAttrForMemRef(), mlir::affine::AffineDmaWaitOp::getAffineMapAttrForMemRef(), mlir::Builder::getArrayAttr(), getAsIndexOpFoldResult(), mlir::Builder::getAttr(), mlir::pdl_to_pdl_interp::PredicateBuilder::getAttribute(), getAttributeIndexFromIndexOperands(), mlir::FloatType::getBF16(), mlir::Builder::getBoolVectorAttr(), mlir::OpTrait::util::getBroadcastedType(), mlir::bufferization::func_ext::getBufferizedFunctionArgType(), getByteArrayType(), getCallOpVarCalleeType(), getCanonicalSubViewResultType(), VectorizationState::getCanonicalVecType(), mlir::python::PyBlock::getCapsule(), getCastCompatibleMemRefType(), getCharPtr(), getCompressedMaskOp(), getConvOrPoolOutputDim(), mlir::sparse_tensor::SparseTensorType::getCOOType(), mlir::detail::getDefaultABIAlignment(), mlir::detail::getDefaultDiagnosticEmitFn(), mlir::detail::getDefaultPreferredAlignment(), mlir::spirv::getDefaultResourceLimits(), getDefaultStorageParams(), mlir::detail::getDefaultTypeSizeInBits(), mlir::sparse_tensor::SparseTensorType::getDemappedType(), getDenseResource(), mlir::python::PyDialects::getDialectForKey(), mlir::Builder::getDictionaryAttr(), mlir::Operation::getDiscardableAttrDictionary(), getDistinctOrUnique(), getDynamicSharedMemorySymbol(), getElementalFuncTypeForOp(), mlir::ConvertToLLVMPattern::getElementPtrType(), mlir::spirv::StructType::getEmpty(), mlir::spirv::getEntryPointABIAttr(), getExpandedType(), mlir::shape::getExtentTensorType(), mlir::FloatType::getF128(), mlir::FloatType::getF16(), mlir::Builder::getF16FloatAttr(), mlir::FloatType::getF32(), mlir::Builder::getF32FloatAttr(), mlir::Builder::getF32VectorAttr(), mlir::FloatType::getF64(), mlir::Builder::getF64FloatAttr(), mlir::Builder::getF64VectorAttr(), mlir::FloatType::getF80(), mlir::LLVM::getFixedVectorType(), mlir::FloatType::getFloat4E2M1FN(), mlir::FloatType::getFloat6E2M3FN(), mlir::FloatType::getFloat6E3M2FN(), mlir::FloatType::getFloat8E3M4(), mlir::FloatType::getFloat8E4M3(), mlir::FloatType::getFloat8E4M3B11FNUZ(), mlir::FloatType::getFloat8E4M3FN(), mlir::FloatType::getFloat8E4M3FNUZ(), mlir::FloatType::getFloat8E5M2(), mlir::FloatType::getFloat8E5M2FNUZ(), mlir::FloatType::getFloat8E8M0FNU(), mlir::Builder::getFloatAttr(), mlir::sparse_tensor::getFunc(), mlir::Builder::getFunctionType(), mlir::Builder::getFusedLoc(), getGetValueTypeOpValueType(), mlir::bufferization::getGlobalFor(), mlir::Builder::getI16IntegerAttr(), mlir::Builder::getI16Type(), getI1SameShape(), mlir::Builder::getI1Type(), mlir::Builder::getI2Type(), mlir::Builder::getI32IntegerAttr(), mlir::Builder::getI32TensorAttr(), mlir::Builder::getI32Type(), mlir::Builder::getI32VectorAttr(), mlir::Builder::getI4Type(), mlir::Builder::getI64IntegerAttr(), mlir::Builder::getI64TensorAttr(), mlir::Builder::getI64Type(), mlir::Builder::getI64VectorAttr(), mlir::Builder::getI8IntegerAttr(), mlir::Builder::getI8Type(), mlir::spirv::StructType::getIdentified(), mlir::Builder::getIndexArrayAttr(), mlir::Builder::getIndexAttr(), mlir::Builder::getIndexTensorAttr(), mlir::Builder::getIndexType(), mlir::LLVMTypeConverter::getIndexType(), mlir::Builder::getIndexVectorAttr(), getInitializerTypeForGlobal(), mlir::sparse_tensor::SparseTensorSpecifier::getInitValue(), mlir::Builder::getIntegerAttr(), mlir::Builder::getIntegerType(), getInterfaceVariables(), mlir::ConvertToLLVMPattern::getIntPtrType(), mlir::ROCDL::getKernelMetadata(), getLaneId(), mlir::DataFlowSolver::getLatticeAnchor(), getLibraryCallSymbolRef(), mlir::LLVM::detail::getLLVMConstant(), mlir::arith::getLLVMDefaultFPExceptionBehavior(), getLLVMFuncType(), mlir::dataflow::CFGEdge::getLoc(), getMangledSortHelperFunc(), mlir::ConvertToLLVMPattern::getMemRefDescriptorSizes(), mlir::bufferization::getMemRefType(), mlir::bufferization::getMemRefTypeWithFullyDynamicLayout(), mlir::bufferization::getMemRefTypeWithStaticIdentityLayout(), mlir::nvgpu::getMmaSyncRegisterType(), getMmaSyncVectorOperandType(), mlir::Builder::getNoneType(), getNormalizedEncodingForSpecifier(), mlir::sparse_tensor::getOpaquePointerType(), mlir::LLVM::ModuleTranslation::getOrCreateAliasScope(), mlir::LLVM::ModuleTranslation::getOrCreateAliasScopes(), getOrCreateFormatStringConstant(), mlir::MLIRContext::getOrLoadDynamicDialect(), getOverloadedDeclaration(), getPackOpSourceOrPaddedSource(), getPointerSpec(), mlir::LLVM::getScalableVectorType(), getScalarConstantAsAttr(), getScalarOrVectorConstInt(), getSharedAddressSpaceAttribute(), mlir::Builder::getSI32IntegerAttr(), mlir::emitc::getSignedTypeFor(), mlir::ConvertToLLVMPattern::getSizeInBytes(), mlir::arm_sme::getSMETileTypeForElement(), mlir::Builder::getStringAttr(), mlir::memref::getTensorTypeFromMemRefType(), mlir::FloatType::getTF32(), mlir::Builder::getTupleType(), mlir::tosa::ValueKnowledge::getType(), mlir::Builder::getType(), mlir::Builder::getTypeArrayAttr(), mlir::Builder::getUI32IntegerAttr(), mlir::spirv::getUnaryOpResultType(), mlir::Builder::getUnitAttr(), mlir::Builder::getUnknownLoc(), mlir::emitc::getUnsignedTypeFor(), getValAndBoolStructType(), mlir::LLVM::getVectorType(), getVectorType(), mlir::ConvertToLLVMPattern::getVoidPtrType(), mlir::ConvertToLLVMPattern::getVoidType(), mlir::transform::gpu::GpuBlockIdBuilder::GpuBlockIdBuilder(), mlir::transform::gpu::GpuThreadIdBuilder::GpuThreadIdBuilder(), mlir::transform::gpu::GpuWarpgroupIdBuilder::GpuWarpgroupIdBuilder(), mlir::transform::gpu::GpuWarpIdBuilder::GpuWarpIdBuilder(), handleInlinedAllocas(), handleLoopAnnotations(), handleMultidimensionalVectors(), mlir::tracing::InstallDebugHandler::Impl::Impl(), inferCastResultType(), inferIntrinsicResultType(), mlir::detail::inferReturnTensorTypes(), inferSideEffectAnnotations(), inferSparseBufferType(), inferStridedSliceOpResultType(), mlir::vector::inferTransferOpMaskType(), inferTransposeResultType(), mlir::LLVMImportInterface::initializeImport(), mlir::sparse_tensor::LoopEmitter::initializeLoopEmit(), mlir::function_interface_impl::insertFunctionArguments(), mlir::function_interface_impl::insertFunctionResults(), invertPredicate(), irdlOpVerifier(), isBatchMatvec(), isBatchVecmat(), isMatvec(), isVecmat(), joinShapes(), linearId0(), linearId1(), linearId2(), mlir::spirv::linearizeIndex(), mlir::LLVMTypeConverter::LLVMTypeConverter(), loadIRDLDialects(), mlir::SymbolTable::lookup(), mlir::LLVM::lookupOrCreateFn(), mlir::LLVM::lookupOrCreateFreeFn(), mlir::LLVM::lookupOrCreateGenericFreeFn(), mlir::LLVM::lookupOrCreateMemRefCopyFn(), mlir::LLVM::lookupOrCreatePrintBF16Fn(), mlir::LLVM::lookupOrCreatePrintCloseFn(), mlir::LLVM::lookupOrCreatePrintCommaFn(), mlir::LLVM::lookupOrCreatePrintF16Fn(), mlir::LLVM::lookupOrCreatePrintF32Fn(), mlir::LLVM::lookupOrCreatePrintF64Fn(), mlir::LLVM::lookupOrCreatePrintI64Fn(), mlir::LLVM::lookupOrCreatePrintNewlineFn(), mlir::LLVM::lookupOrCreatePrintOpenFn(), mlir::LLVM::lookupOrCreatePrintStringFn(), mlir::LLVM::lookupOrCreatePrintU64Fn(), lookupOrCreateSPIRVFn(), mlir::SymbolTable::lookupSymbolIn(), lowerEntryPointABIAttr(), mlir::LowerToLLVMOptions::LowerToLLVMOptions(), makeArrayAttr(), makeI64ArrayAttr(), makeStridedLayoutDynamic(), matchAndReplaceDepthwiseConv(), mlir::GPUDynamicSharedMemoryOpLowering::matchAndRewrite(), mlir::GPUFuncOpLowering::matchAndRewrite(), mlir::GPUPrintfOpToHIPLowering::matchAndRewrite(), mlir::GPUPrintfOpToLLVMCallLowering::matchAndRewrite(), mlir::GPUPrintfOpToVPrintfLowering::matchAndRewrite(), SwapTransposeWithBroadcast::matchAndRewrite(), mlir::gpu::index_lowering::OpLowering< Op, XOp, YOp, ZOp >::matchAndRewrite(), ConvertLoad::matchAndRewrite(), InsertSliceVectorizePattern::matchAndRewrite(), mlir::linalg::DecomposeOuterUnitDimsUnPackOpPattern::matchAndRewrite(), MaterializePadValue::matchAndRewrite(), ConsolidateTransposeOptimization::matchAndRewrite(), matchAndRewriteSortOp(), memcpyRewire(), mlir::spirv::MemorySpaceToStorageClassConverter::MemorySpaceToStorageClassConverter(), memsetRewire(), mergeInto(), mergeOverflowFlags(), minMaxValueForFloat(), minMaxValueForSignedInt(), minMaxValueForUnsignedInt(), mlirAffineMapAttrGet(), mlirArrayAttrGet(), mlirAttributeGetType(), mlirComplexTypeGet(), mlirDictionaryAttrGet(), mlirDictionaryAttrGetElementByName(), mlirFloatAttrDoubleGet(), mlirFunctionTypeGet(), mlirGPUObjectAttrGet(), mlirGPUObjectAttrGetWithKernels(), mlirIdentifierGet(), mlirIndexTypeGet(), mlirIntegerAttrGet(), mlirIntegerSetAttrGet(), mlirIntegerTypeGet(), mlirIntegerTypeSignedGet(), mlirIntegerTypeUnsignedGet(), mlirLLVMArrayTypeGet(), mlirLLVMCConvAttrGet(), mlirLLVMComdatAttrGet(), mlirLLVMDIAnnotationAttrGet(), mlirLLVMDIBasicTypeAttrGet(), mlirLLVMDICompileUnitAttrGet(), mlirLLVMDICompositeTypeAttrGet(), mlirLLVMDIDerivedTypeAttrGet(), mlirLLVMDIExpressionAttrGet(), mlirLLVMDIExpressionElemAttrGet(), mlirLLVMDIFileAttrGet(), mlirLLVMDIFlagsAttrGet(), mlirLLVMDIImportedEntityAttrGet(), mlirLLVMDILexicalBlockAttrGet(), mlirLLVMDILexicalBlockFileAttrGet(), mlirLLVMDILocalVariableAttrGet(), mlirLLVMDIModuleAttrGet(), mlirLLVMDINullTypeAttrGet(), mlirLLVMDIStringTypeAttrGet(), mlirLLVMDISubprogramAttrGet(), mlirLLVMDISubroutineTypeAttrGet(), mlirLLVMFunctionTypeGet(), mlirLLVMLinkageAttrGet(), mlirLLVMPointerTypeGet(), mlirLLVMVoidTypeGet(), mlirLocationCallSiteGet(), mlirLocationFusedGet(), mlirLocationNameGet(), mlirLocationUnknownGet(), mlirMemRefTypeContiguousGet(), mlirMemRefTypeGet(), mlirNoneTypeGet(), mlirNVGPUTensorMapDescriptorTypeGet(), mlirOpaqueAttrGet(), mlirOpaqueTypeGet(), mlirOperationSetInherentAttributeByName(), mlirOpOperandGetValue(), mlirPDLAttributeTypeGet(), mlirPDLOperationTypeGet(), mlirPDLRangeTypeGet(), mlirPDLTypeTypeGet(), mlirPDLValueTypeGet(), mlirRankedTensorTypeGet(), mlirReduceMain(), mlirSparseElementsAttribute(), mlirSparseTensorEncodingAttrGet(), mlirStridedLayoutAttrGet(), mlirStringAttrGet(), mlirStringAttrTypedGet(), mlirSymbolRefAttrGet(), mlirSymbolTableReplaceAllSymbolUses(), mlirTransformAnyOpTypeGet(), mlirTransformAnyParamTypeGet(), mlirTransformAnyValueTypeGet(), mlirTransformOperationTypeGet(), mlirTransformParamTypeGet(), mlirTupleTypeGet(), mlirTypeAttrGet(), mlirUnitAttrGet(), mlirUnmanagedDenseResourceElementsAttrGet(), mlirUnrankedMemRefTypeGet(), mlirUnrankedTensorTypeGet(), mlirVectorTypeGet(), mlirVectorTypeGetScalable(), mlir::x86vector::avx2::inline_asm::mm256BlendPsAsm(), mlir::mesh::moveLastSplitAxisInResharding(), mlir::arith::NarrowTypeEmulationConverter::NarrowTypeEmulationConverter(), mlir::affine::normalizeMemRefType(), mlir::dataflow::IntegerValueRangeLattice::onUpdate(), mlir::OperationName::OperationName(), mlir::detail::DenseArrayAttrImpl< int32_t >::operator ArrayRef< int32_t >(), mlir::MemRefType::Builder::operator MemRefType(), mlir::RankedTensorType::Builder::operator RankedTensorType(), mlir::VectorType::Builder::operator VectorType(), SubViewReturnTypeCanonicalizer::operator()(), mlir::LLVM::GEPIndicesAdaptor< DynamicRange >::iterator::operator*(), mlir::DenseElementsAttr::AttributeElementIterator::operator*(), optionalLevelAttr(), outlineExecuteOp(), outlineKernelFuncImpl(), outlineSingleBlockRegion(), packFunctionArguments(), padOperandToSmallestStaticBoundingBox(), parseAffineMapWithMinMax(), parseAllReduceOperation(), mlir::detail::Parser::parseAttribute(), parseBound(), mlir::detail::Parser::parseCallSiteLocation(), parseCaptureType(), parseClauseAttr(), parseCombinedConstructsLoop(), mlir::detail::Parser::parseComplexType(), parseCopyprivate(), mlir::detail::Parser::parseDecOrHexAttr(), mlir::detail::Parser::parseDenseArrayAttr(), mlir::detail::Parser::parseDenseResourceElementsAttr(), parseDependVarList(), parseDeviceTypeArrayAttr(), parseDeviceTypeOperandsWithKeywordOnly(), parseDeviceTypeOperandsWithSegment(), parseEmitCGlobalOpTypeAndInitialValue(), mlir::detail::Parser::parseExtendedAttr(), mlir::detail::Parser::parseFloatAttr(), parseForeachMatchSymbols(), mlir::function_interface_impl::parseFunctionOp(), mlir::detail::Parser::parseFusedLocation(), parseGangClause(), parseGlobalMemrefOpTypeAndInitialValue(), mlir::spirv::parseImageOperands(), parseKeyValuePair(), parseLaunchDimType(), parseLevelRange(), mlir::detail::Parser::parseLocationInstance(), parseMembersIndex(), mlir::detail::Parser::parseNameOrFileLineColRange(), mlir::detail::Parser::parseNonFunctionType(), parseNumGangs(), parseOneOpBundle(), parseOpBundles(), mlir::detail::Parser::parseOptionalAttribute(), mlir::detail::AsmParserImpl< BaseT >::parseOptionalSymbolName(), parseOrderClause(), mlir::Op< ConcreteType, Traits >::parseProperties(), parseRangeType(), parseResultsValueType(), parseRoutineGangClause(), parseScheduleClause(), mlir::detail::Parser::parseSparseElementsAttr(), mlir::detail::Parser::parseStridedLayoutAttr(), parseSwitchOpCases(), parseSymOperandList(), parseSynchronizationHint(), mlir::detail::Parser::parseTensorType(), mlir::transform::detail::parseTransformModuleFromFile(), mlir::detail::Parser::parseTupleType(), mlir::Dialect::parseType(), parseTypedInitialValue(), mlir::tosa::parseTypeOrAttr(), parseValuesWithVariadicity(), parseValueWithVariadicity(), parseVarPtrType(), parseWaitClause(), performActions(), populateAMXLegalizeForLLVMExportPatterns(), populateAsyncStructuralTypeConversionsAndLegality(), populateEmitCSizeTTypeConversions(), populateGpuToNVVMConversionPatterns(), mlir::memref::populateMemRefNarrowTypeEmulationConversions(), populateMemRefToEmitCTypeConversion(), populateMMAToSPIRVCoopMatrixTypeConversion(), mlir::vector::populateVectorLinearizeTypeConversionsAndLegality(), printClauseWithRegionArgs(), printMinMaxBound(), printOffloadingHandler(), mlir::LLVM::ModuleImport::processFunctionAttributes(), processMemoryEffects(), processOperands(), processPassthroughAttrs(), mlir::ValueBoundsConstraintSet::processWorklist(), mlir::LLVMTypeConverter::promoteOneMemRefDescriptor(), promoteSubViews(), reducedVectorTypeBack(), reduceInnermostDim(), mlir::ExtensibleDialect::registerDynamicAttr(), mlir::ExtensibleDialect::registerDynamicType(), registerFromLLVMIRTranslation(), remapInlinedLocations(), mlir::Operation::removeAttr(), mlir::Operation::removeDiscardableAttr(), mlir::SymbolTable::rename(), renameSymbol(), mlir::SymbolTable::renameToUnique(), mlir::LLVM::MergeFragments::replace(), replaceAllSymbolUsesImpl(), mlir::IntegerSet::replaceDimsAndSymbols(), replaceOpWithPredicatedOp(), mlir::linalg::rewriteAsPaddedOp(), rewriteI4ToI8SignedExt(), rewriteI4ToI8UnsignedExt(), rewriteI8ToI4Trunc(), mlir::linalg::rewriteInIm2Col(), PadOpVectorizationWithInsertSlicePattern::rewriteUser(), mlir::NamedAttrList::set(), setAccessGroupsAttr(), setAliasScopesAttr(), mlir::function_interface_impl::setAllArgAttrDicts(), setAllArgResAttrDicts(), mlir::function_interface_impl::setAllResultAttrDicts(), mlir::function_interface_impl::setArgAttrs(), setArgResAttrDict(), mlir::Operation::setAttr(), setAttributionAttrs(), mlir::Operation::setAttrs(), mlir::Operation::setDiscardableAttr(), mlir::Operation::setDiscardableAttrs(), mlir::LLVM::ModuleImport::setFastmathFlagsAttr(), mlir::function_interface_impl::setFunctionType(), setNoaliasScopesAttr(), mlir::MlirOptMainConfig::setPassPipelineParser(), mlir::function_interface_impl::setResultAttrs(), mlir::UnrankedMemRefDescriptor::setSize(), mlir::UnrankedMemRefDescriptor::setStride(), mlir::SymbolTable::setSymbolName(), mlir::SymbolTable::setSymbolVisibility(), setTBAAAttr(), setupCoroMachinery(), mlir::LLVM::DIExpressionRewriter::simplify(), mlir::UnrankedMemRefDescriptor::size(), mlir::MemRefDescriptor::size(), mlir::UnrankedMemRefDescriptor::sizeBasePtr(), sourceMaterializationCallback(), mlir::vector::splitFullAndPartialTransfer(), mlir::linalg::splitReduction(), mlir::mesh::spmdizeFuncOp(), mlir::sparse_tensor::CodegenEnv::startEmit(), mlir::UnrankedMemRefDescriptor::stride(), mlir::UnrankedMemRefDescriptor::strideBasePtr(), mlir::SymbolTable::SymbolTable(), translateDataLayout(), mlir::LLVM::detail::DebugImporter::translateExpression(), mlir::LLVM::detail::DebugTranslation::translateExpression(), mlir::LLVM::detail::DebugImporter::translateFuncLocation(), mlir::LLVM::detail::DebugImporter::translateGlobalVariableExpression(), mlir::LLVM::detail::DebugTranslation::translateGlobalVariableExpression(), translateLLVMIRToModule(), mlir::LLVM::detail::DebugImporter::translateLoc(), translateMap(), mlir::x86vector::avx2::transpose4x8xf32(), mlir::x86vector::avx2::transpose8x8xf32(), trimLeadingOneDims(), trimNonScalableUnitDims(), mlir::mesh::tryUpdateHaloInResharding(), mlir::mesh::unsplitLastAxisInResharding(), updateCalls(), updateFuncOp(), vectorizeAsTensorPackOp(), vectorizeAsTensorUnpackOp(), mlir::linalg::vectorizeCopy(), mlir::irdl::RegionConstraint::verify(), verifyOutputShape(), verifyTransferOp(), walkIndicesAsAttr(), mlir::arith::WideIntEmulationConverter::WideIntEmulationConverter(), wmmaPushInputOperand(), wrapExternalFunction(), mlir::detail::wrapIntegerMemorySpace(), and wrapNumericMemorySpace().

getAffineBinaryOpExpr()

AffineExpr mlir::getAffineBinaryOpExpr	(	AffineExprKind	kind,
		AffineExpr	lhs,
		AffineExpr	rhs
	)

Definition at line 70 of file AffineExpr.cpp.

References Add, CeilDiv, mlir::AffineExpr::ceilDiv(), FloorDiv, mlir::AffineExpr::floorDiv(), Mod, and Mul.

Referenced by createDimSizeExprForTiledLayout(), mlir::sparse_tensor::inverseBlockSparsity(), mlirAffineAddExprGet(), mlirAffineCeilDivExprGet(), mlirAffineFloorDivExprGet(), mlirAffineModExprGet(), mlirAffineMulExprGet(), mlir::AffineExpr::replace(), mlir::AffineExpr::replaceDimsAndSymbols(), simplifyAdd(), simplifyExprAndOperands(), simplifySemiAffine(), mlir::affine::substWithMin(), symbolicDivide(), and translateMap().

getAffineConstantExpr()

AffineExpr mlir::getAffineConstantExpr	(	int64_t	constant,
		MLIRContext *	context
	)

Definition at line 641 of file AffineExpr.cpp.

References mlir::StorageUniquer::get(), and mlir::MLIRContext::getAffineUniquer().

Referenced by canonicalizeMapOrSetAndOperands(), mlir::AffineExpr::ceilDiv(), mlir::AffineMap::compose(), composeAffineMapAndOperands(), computeProduct(), computeSuffixProduct(), computeSum(), detectAsFloorDiv(), mlir::linalg::dropUnitDims(), mlir::AffineExpr::floorDiv(), mlir::Builder::getAffineConstantExpr(), getAffineConstantExprs(), getAffineExprFromFlatForm(), mlir::FlatLinearConstraints::getAsIntegerSet(), mlir::AffineMap::getConstantMap(), mlir::IntegerSet::getEmptySet(), getSemiAffineExprFromFlatForm(), mlir::FlatLinearConstraints::getSliceBounds(), mlir::vector::getTransferMinorIdentityMap(), inverseAndBroadcastProjectedPermutation(), isModOfModSubtraction(), linearize(), mlir::affine::linearizeIndex(), makeCanonicalStridedLayoutExpr(), makePermutationMap(), makeStridedLinearLayoutMap(), mlirAffineConstantExprGet(), mlir::AffineExpr::operator%(), mlir::AffineExpr::operator*(), mlir::AffineExpr::operator+(), mlir::AffineExpr::operator-(), mlir::AffineExpr::operator==(), mlir::AffineMap::partialConstantFold(), projectCommonImpl(), simplifyAdd(), simplifyCeilDiv(), simplifyExprAndOperands(), simplifyFloorDiv(), simplifyMinOrMaxExprWithOperands(), simplifyMod(), simplifyMul(), simplifySemiAffine(), sliceTransferIndices(), symbolicDivide(), transferReadSupportsMMAMatrixType(), translateMap(), verifyOutputShape(), and mlir::SimpleAffineExprFlattener::visitModExpr().

getAffineConstantExprs()

SmallVector< AffineExpr > mlir::getAffineConstantExprs	(	ArrayRef< int64_t >	constants,
		MLIRContext *	context
	)

Definition at line 651 of file AffineExpr.cpp.

References getAffineConstantExpr().

Referenced by delinearize(), mlir::detail::TileOffsetRangeImpl::getDynamicTileOffsets(), and linearize().

getAffineDimExpr()

AffineExpr mlir::getAffineDimExpr	(	unsigned	position,
		MLIRContext *	context
	)

These free functions allow clients of the API to not use classes in detail.

Definition at line 617 of file AffineExpr.cpp.

References DimId, and getAffineDimOrSymbol().

Referenced by adjustMap(), mlir::detail::bindDims(), bindDimsList(), calculateImplicitMap(), canonicalizeMapOrSetAndOperands(), canonicalizePromotedSymbols(), common3DIdBuilderFn(), commonLinearIdBuilderFn(), mlir::AffineMap::compose(), composeAffineMapAndOperands(), computeIteratorTypesAndIndexingMaps(), mlir::FlatLinearConstraints::computeLocalVars(), mlir::linalg::computeTileSizes(), convertReassociationIndicesToExprs(), deduplicateAndResolveOperands(), mlir::linalg::dropUnitDims(), genReplaceDimToLvlMap(), mlir::Builder::getAffineDimExpr(), getAffineExprFromFlatForm(), getCollapsedOpIndexingMap(), getDimMap(), mlir::nvgpu::getLaneIdToLdMatrixMatrixCoord(), mlir::AffineMap::getMultiDimIdentityMap(), mlir::AffineMap::getMultiDimMapWithTargets(), getSemiAffineExprFromFlatForm(), mlir::FlatLinearConstraints::getSliceBounds(), insertParallelDim(), inverseAndBroadcastProjectedPermutation(), mlir::sparse_tensor::inverseBlockSparsity(), inversePermutation(), mlir::AffineExpr::isFunctionOfDim(), isNormalizedMemRefDynamicDim(), mlir::linalg::makeAffineDimExprs(), makeCanonicalStridedLayoutExpr(), makePermutationMap(), makeStridedLinearLayoutMap(), mlirAffineDimExprGet(), projectCommonImpl(), replaceDimOrSym(), scaleReductionDim(), mlir::AffineExpr::shiftDims(), sliceTransferIndices(), mlir::linalg::splitReductionByScaling(), transferReadSupportsMMAMatrixType(), and translateMap().

getAffineExprFromFlatForm()

AffineExpr mlir::getAffineExprFromFlatForm	(	ArrayRef< int64_t >	flatExprs,
		unsigned	numDims,
		unsigned	numSymbols,
		ArrayRef< AffineExpr >	localExprs,
		MLIRContext *	context
	)

Constructs an affine expression from a flat ArrayRef.

If there are local identifiers (neither dimensional nor symbolic) that appear in the sum of products expression, 'localExprs' is expected to have the AffineExpr for it, and is substituted into. The ArrayRef 'eq' is expected to be in the format [dims, symbols, locals, constant term].

If there are local identifiers (neither dimensional nor symbolic) that appear in the sum of products expression, localExprs is expected to have the AffineExpr for it, and is substituted into. The ArrayRef flatExprs is expected to be in the format [dims, symbols, locals, constant term].

Definition at line 1048 of file AffineExpr.cpp.

References getAffineConstantExpr(), getAffineDimExpr(), and getAffineSymbolExpr().

Referenced by mlir::FlatLinearConstraints::getAsIntegerSet(), mlir::affine::FlatAffineValueConstraints::getIneqAsAffineValueMap(), mlir::FlatLinearConstraints::getLowerAndUpperBound(), simplifyAffineExpr(), mlir::SimpleAffineExprFlattener::visitModExpr(), and mlir::SimpleAffineExprFlattener::visitMulExpr().

getAffineSymbolExpr()

AffineExpr mlir::getAffineSymbolExpr	(	unsigned	position,
		MLIRContext *	context
	)

Definition at line 627 of file AffineExpr.cpp.

References getAffineDimOrSymbol(), and SymbolId.

Referenced by mlir::detail::bindSymbols(), bindSymbolsList(), canonicalizeMapOrSetAndOperands(), canonicalizePromotedSymbols(), mlir::AffineMap::compose(), composeAffineMapAndOperands(), mlir::FlatLinearConstraints::computeLocalVars(), deduplicateAndResolveOperands(), getAffineExprFromFlatForm(), mlir::Builder::getAffineSymbolExpr(), getSemiAffineExprFromFlatForm(), mlir::FlatLinearConstraints::getSliceBounds(), mlir::AffineExpr::isFunctionOfSymbol(), mlir::affine::linearizeIndex(), makeCanonicalStridedLayoutExpr(), makeStridedLinearLayoutMap(), mlirAffineSymbolExprGet(), projectCommonImpl(), mlir::affine::reorderOperandsByHoistability(), replaceDimOrSym(), mlir::AffineExpr::shiftSymbols(), and mlir::linalg::updateBoundsForCyclicDistribution().

getAsIndexOpFoldResult() [1/2]

SmallVector<OpFoldResult> mlir::getAsIndexOpFoldResult	(	MLIRContext *	ctx,
		ArrayRef< int64_t >	values
	)

Definition at line 113 of file StaticValueUtils.cpp.

References getAsIndexOpFoldResult().

getAsIndexOpFoldResult() [2/2]

OpFoldResult mlir::getAsIndexOpFoldResult	(	MLIRContext *	ctx,
		int64_t	val
	)

Convert int64_t to integer attributes of index type and return them as OpFoldResult.

Definition at line 109 of file StaticValueUtils.cpp.

References get().

Referenced by HopperBuilder::buildPredicateLoadsOnThread0(), commonLinearIdBuilderFn(), computeLinearIndex(), and getAsIndexOpFoldResult().

getAsOpFoldResult() [1/3]

SmallVector< OpFoldResult > mlir::getAsOpFoldResult

(

ArrayAttr

arrayAttr

)

Convert arrayAttr to a vector of OpFoldResult.

Definition at line 101 of file StaticValueUtils.cpp.

getAsOpFoldResult() [2/3]

OpFoldResult mlir::getAsOpFoldResult

(

Value

val

)

Given a value, try to extract a constant Attribute.

If this fails, return the original value.

Definition at line 84 of file StaticValueUtils.cpp.

References m_Constant(), and matchPattern().

Referenced by mlir::linalg::blockPackMatmul(), computeLinearIndex(), getAsOpFoldResult(), getCompressedMaskOp(), getDimValue(), getFlatMemref(), getFlatOffsetAndStrides(), getProductOfIntsOrIndexes(), getTileOffsetAndSizes(), InsertSliceOfInsertSliceFolder< OpTy >::matchAndRewrite(), replaceConstantUsesOf(), mlir::affine::resolveIndicesIntoOpWithOffsetsAndStrides(), tileLinalgOpImpl(), mlir::linalg::tileReductionUsingForall(), and mlir::linalg::transformIndexOps().

getAsOpFoldResult() [3/3]

SmallVector< OpFoldResult > mlir::getAsOpFoldResult

(

ValueRange

values

)

Given an array of values, try to extract a constant Attribute from each value.

If this fails, return the original value.

Definition at line 95 of file StaticValueUtils.cpp.

References getAsOpFoldResult().

getBackwardSlice() [1/2]

void mlir::getBackwardSlice	(	Operation *	op,
		SetVector< Operation * > *	backwardSlice,
		const BackwardSliceOptions &	options = {}
	)

Fills backwardSlice with the computed backward slice (i.e.

all the transitive defs of op), without including that operation.

This additionally takes a TransitiveFilter which acts as a frontier: when looking at defs transitively, an operation that does not pass the filter is never propagated through. This allows in particular to carve out the scope within a ForOp or the scope within an IfOp.

The implementation traverses the def chains in postorder traversal for efficiency reasons: if an operation is already in backwardSlice, no need to traverse its definitions again. Since useuse-def chains form a DAG, this terminates.

Upon return to the root call, backwardSlice is filled with a postorder list of defs. This happens to be a topological order, from the point of view of the use-def chains.

Example starting from node 8

1 2 3 4 |_______| |______| | | | | 5 6 |___|_____________| | | 7 8 |_______________| | 9

Assuming all local orders match the numbering order: {1, 2, 5, 3, 4, 6}

Definition at line 138 of file SliceAnalysis.cpp.

References getBackwardSliceImpl(), and options.

Referenced by checkAssumptionForLoop(), computeBackwardSlice(), dependsOnCarriedVals(), getBackwardSlice(), getPipelineStages(), getSlice(), and getSliceContract().

getBackwardSlice() [2/2]

void mlir::getBackwardSlice	(	Value	root,
		SetVector< Operation * > *	backwardSlice,
		const BackwardSliceOptions &	options = {}
	)

Value-rooted version of getBackwardSlice.

Return the union of all backward slices for the op defining or owning the value root.

Definition at line 150 of file SliceAnalysis.cpp.

References getBackwardSlice(), mlir::Value::getDefiningOp(), mlir::Operation::getParentOp(), and options.

getBlocksSortedByDominance()

SetVector< Block * > mlir::getBlocksSortedByDominance

(

Region &

region

)

Gets a list of blocks that is sorted according to dominance.

This sort is stable.

Definition at line 155 of file TopologicalSortUtils.cpp.

References mlir::Region::getBlocks().

Referenced by convertDataOp(), convertOmpOpRegions(), and getOrCreateBlockIndices().

getBoundForAffineExpr()

std::optional< int64_t > mlir::getBoundForAffineExpr	(	AffineExpr	expr,
		unsigned	numDims,
		unsigned	numSymbols,
		ArrayRef< std::optional< int64_t >>	constLowerBounds,
		ArrayRef< std::optional< int64_t >>	constUpperBounds,
		bool	isUpper
	)

Get a lower or upper (depending on isUpper) bound for expr while using the constant lower and upper bounds for its inputs provided in constLowerBounds and constUpperBounds.

Return std::nullopt if such a bound can't be computed. This method only handles simple sum of product expressions (w.r.t constant coefficients) so as to not depend on anything heavyweight in Analysis. Expressions of the form: c0*d0 + c1*d1 + c2*s0 + ... + c_n are handled. Expressions involving floordiv, ceildiv, mod or semi-affine ones will lead a none being returned.

Definition at line 1595 of file AffineExpr.cpp.

References CeilDiv, FloorDiv, Mod, mlir::SimpleAffineExprFlattener::numLocals, mlir::SimpleAffineExprFlattener::operandExprStack, and mlir::AffineExprVisitor< SubClass, RetTy >::walkPostOrder().

Referenced by getLowerBound(), getUpperBound(), and simplifyMinOrMaxExprWithOperands().

getBufferizationOptionsForSparsification()

mlir::bufferization::OneShotBufferizationOptions mlir::getBufferizationOptionsForSparsification

(

bool

analysisOnly

)

Definition at line 216 of file SparsificationAndBufferizationPass.cpp.

References mlir::bufferization::getMemRefTypeWithStaticIdentityLayout(), mlir::Value::getType(), and options.

Referenced by mlir::sparse_tensor::buildSparsifier(), and createSparsificationAndBufferizationPass().

getConstantIntValue()

std::optional< int64_t > mlir::getConstantIntValue

(

OpFoldResult

ofr

)

If ofr is a constant integer or an IntegerAttr, return the integer.

Definition at line 120 of file StaticValueUtils.cpp.

References m_ConstantInt(), and matchPattern().

Referenced by mlir::affine::FlatAffineValueConstraints::addInductionVarOrTerminalSymbol(), mlir::scf::addLoopRangeConstraints(), allocBuffer(), areTilesAndTiledDimsAllConstant(), asShapeWithAnyValueAsDynamic(), buildAffineLoopFromValues(), canOmitTileOffsetInBoundsCheck(), checkSafeToTileToForall(), mlir::affine::MemRefRegion::compute(), mlir::linalg::computeContinuousTileSizes(), constantTripCount(), constifyIndexValues(), mlir::nvgpu::createAsyncGroups(), createInBoundsCond(), mlir::linalg::GenerateLoopNest< LoopTy >::doit(), emitNormalizedLoopBounds(), foldCstValueToCstAttrBasis(), foldDynamicIndexList(), foldDynamicToStaticDimSizes(), foldIdentityOffsetSizeAndStrideOpInterface(), mlir::affine::ComputationSliceState::getAsConstraints(), getBoundedTileSize(), getCollapsedIndices(), getConstantIntValues(), getConstantRange(), getConstantTripCount(), mlir::vector::getConstantVscaleMultiplier(), mlir::ValueBoundsConstraintSet::getExpr(), getPackOpSourceOrPaddedSource(), getProductOfIntsOrIndexes(), getSimplifiedOfrAndStaticSizePair(), getSlicedDimensions(), isConstantIntValue(), isDimOpValidSymbol(), mlir::vector::isDisjointTransferIndices(), isEqualConstantIntOrValue(), isTrivialSubViewOp(), isZeroIndex(), loopScheduling(), loopUnrollByFactor(), mlir::linalg::makeTiledLoopRanges(), FoldTensorCastPackOp::matchAndRewrite(), FoldConstantCase::matchAndRewrite(), mlir::linalg::pack(), peelForLoop(), mlir::scf::rewritePeeledMinMaxOp(), mlir::affine::simplifyConstrainedMinMaxOp(), tileDividesIterationDomain(), tileLinalgOpImpl(), unFoldOpIntResult(), validateFullTilesOnDims(), and mlir::ValueBoundsConstraintSet::Variable::Variable().

getConstantIntValues()

std::optional< SmallVector< int64_t > > mlir::getConstantIntValues

(

ArrayRef< OpFoldResult >

ofrs

)

If all ofrs are constant integers or IntegerAttrs, return the integers.

Definition at line 136 of file StaticValueUtils.cpp.

References getConstantIntValue().

Referenced by areConstantIntValues(), getThreadIdBuilder(), rewriteOneForallCommonImpl(), and verifyGpuMapping().

getControlFlowPredecessors()

std::optional< SmallVector< Value > > mlir::getControlFlowPredecessors

(

Value

value

)

Computes a vector of all control predecessors of value.

Relies on RegionBranchOpInterface, BranchOpInterface, and SelectLikeOpInterface to determine predecessors. Returns nullopt if value has no predecessors or when the relevant operations are missing the interface implementations.

Definition at line 106 of file SliceWalk.cpp.

References getBlockPredecessorOperands(), mlir::Block::getParentOp(), getRegionPredecessorOperands(), and mlir::Block::isEntryBlock().

Referenced by getUnderlyingObjectSet().

getEffectsRecursively()

std::optional< llvm::SmallVector< MemoryEffects::EffectInstance > > mlir::getEffectsRecursively

(

Operation *

rootOp

)

Returns the side effects of an operation.

If the operation has RecursiveMemoryEffects, include all side effects of child operations.

std::nullopt indicates that an option did not have a memory effect interface and so no result could be obtained. An empty vector indicates that there were no memory effects found (but every operation implemented the memory effect interface or has RecursiveMemoryEffects). If the vector contains multiple effects, these effects may be duplicates.

Definition at line 335 of file SideEffectInterfaces.cpp.

References mlir::Operation::getRegions(), and mlir::Operation::hasTrait().

getElementTypeOrSelf() [1/3]

Type mlir::getElementTypeOrSelf

(

Attribute

attr

)

Return the element type or return the type itself.

Definition at line 33 of file TypeUtilities.cpp.

References getElementTypeOrSelf().

getElementTypeOrSelf() [2/3]

Type mlir::getElementTypeOrSelf

(

Type

type

)

Return the element type or return the type itself.

Definition at line 23 of file TypeUtilities.cpp.

Referenced by buildGenericRegion(), clampInput(), convertCtlzOp(), convertFPowIOp(), convertRoundEvenOp(), convertRoundOp(), convertRsqrtOp(), createConst(), createFloatConst(), createIntConst(), createLinalgBodyCalculationForElementwiseOp(), exp2I32(), fillStructuredOpRegion(), frexp(), genBuffers(), genInsertionLoad(), mlir::OpTrait::util::getBroadcastedType(), getElementTypeOrSelf(), getScalarOrElementWidth(), mlir::ConstantIntRanges::getStorageBitwidth(), getUnderlyingType(), insertCasts(), mlir::vector::isBroadcastableTo(), mlir::linalg::lowerPack(), mlir::math::ErfPolynomialApproximation::matchAndRewrite(), mlir::spirv::ElementwiseOpPattern< Op, SPIRVOp >::matchAndRewrite(), mlirLinalgFillBuiltinNamedOpRegion(), mlir::dataflow::IntegerValueRangeLattice::onUpdate(), mlir::linalg::pack(), padOperandToSmallestStaticBoundingBox(), mlir::amdgpu::populateAmdgpuEmulateAtomicsPatterns(), mlir::linalg::rewriteAsPaddedOp(), mlir::linalg::vectorizeCopy(), verifyExtOp(), mlir::OpTrait::impl::verifySameOperandsAndResultElementType(), mlir::OpTrait::impl::verifySameOperandsAndResultType(), mlir::OpTrait::impl::verifySameOperandsElementType(), mlir::linalg::detail::verifyStructuredOpInterface(), mlir::OpTrait::tosa::MulOperandsAndResultElementType< ConcreteType >::verifyTrait(), verifyTruncateOp(), and verifyYield().

getElementTypeOrSelf() [3/3]

Type mlir::getElementTypeOrSelf

(

Value

val

)

Definition at line 29 of file TypeUtilities.cpp.

References getElementTypeOrSelf(), and mlir::Value::getType().

getEnclosingRepetitiveRegion() [1/2]

Region * mlir::getEnclosingRepetitiveRegion

(

Operation *

op

)

Return the first enclosing region of the given op that may be executed repetitively as per RegionBranchOpInterface or nullptr if no such region exists.

Definition at line 343 of file ControlFlowInterfaces.cpp.

References mlir::Region::getParentOp(), mlir::Operation::getParentRegion(), and mlir::Region::getRegionNumber().

getEnclosingRepetitiveRegion() [2/2]

Region * mlir::getEnclosingRepetitiveRegion

(

Value

value

)

Return the first enclosing region of the given Value that may be executed repetitively as per RegionBranchOpInterface or nullptr if no such region exists.

Definition at line 353 of file ControlFlowInterfaces.cpp.

References mlir::Region::getParentOp(), mlir::Operation::getParentRegion(), mlir::Value::getParentRegion(), and mlir::Region::getRegionNumber().

getFlattenedAffineExpr()

LogicalResult mlir::getFlattenedAffineExpr	(	AffineExpr	expr,
		unsigned	numDims,
		unsigned	numSymbols,
		SmallVectorImpl< int64_t > *	flattenedExpr,
		FlatLinearConstraints *	cst = nullptr,
		bool	addConservativeSemiAffineBounds = false
	)

Flattens 'expr' into 'flattenedExpr', which contains the coefficients of the dimensions, symbols, and additional variables that represent floor divisions of dimensions, symbols, and in turn other floor divisions.

Returns failure if 'expr' could not be flattened (i.e., an unhandled semi-affine was found). 'cst' contains constraints that connect newly introduced local variables to existing dimensional and symbolic variables. See documentation for AffineExprFlattener on how mod's and div's are flattened.

Definition at line 178 of file FlatLinearValueConstraints.cpp.

References getFlattenedAffineExprs().

getFlattenedAffineExprs() [1/2]

LogicalResult mlir::getFlattenedAffineExprs	(	AffineMap	map,
		std::vector< SmallVector< int64_t, 8 >> *	flattenedExprs,
		FlatLinearConstraints *	localVarCst = nullptr,
		bool	addConservativeSemiAffineBounds = false
	)

Flattens the result expressions of the map to their corresponding flattened forms and set in 'flattenedExprs'.

Flattens the expressions in map.

Returns failure if any expression in the map could not be flattened (i.e., an unhandled semi-affine was found). 'cst' contains constraints that connect newly introduced local variables to existing dimensional and / symbolic variables. See documentation for AffineExprFlattener on how mod's and div's are flattened. For all affine expressions that share the same operands (like those of an affine map), this method should be used instead of repeatedly calling getFlattenedAffineExpr since local variables added to deal with div's and mod's will be reused across expressions.

Returns failure if 'expr' was unable to be flattened (i.e., an unhandled semi-affine was found).

Definition at line 192 of file FlatLinearValueConstraints.cpp.

References getFlattenedAffineExprs(), mlir::AffineMap::getNumDims(), mlir::AffineMap::getNumResults(), mlir::AffineMap::getNumSymbols(), and mlir::AffineMap::getResults().

Referenced by mlir::FlatLinearValueConstraints::FlatLinearValueConstraints(), mlir::FlatLinearConstraints::flattenAlignedMapAndMergeLocals(), getFlattenedAffineExpr(), getMultiAffineFunctionFromMap(), and mlir::affine::getRelationFromMap().

getFlattenedAffineExprs() [2/2]

LogicalResult mlir::getFlattenedAffineExprs	(	IntegerSet	set,
		std::vector< SmallVector< int64_t, 8 >> *	flattenedExprs,
		FlatLinearConstraints *	cst = nullptr
	)

Definition at line 206 of file FlatLinearValueConstraints.cpp.

References mlir::IntegerSet::getConstraints(), getFlattenedAffineExprs(), mlir::IntegerSet::getNumConstraints(), mlir::IntegerSet::getNumDims(), and mlir::IntegerSet::getNumSymbols().

getFlattenedTypes()

SmallVector< Type, 10 > mlir::getFlattenedTypes

(

TupleType

t

)

Get the types within a nested Tuple.

A helper for the class method that handles storage concerns, which is tricky to do in tablegen.

Definition at line 39 of file TypeUtilities.cpp.

getForwardSlice() [1/2]

void mlir::getForwardSlice	(	Operation *	op,
		SetVector< Operation * > *	forwardSlice,
		const ForwardSliceOptions &	options = {}
	)

Fills forwardSlice with the computed forward slice (i.e.

all the transitive uses of op), without including that operation.

This additionally takes a TransitiveFilter which acts as a frontier: when looking at uses transitively, an operation that does not pass the filter is never propagated through. This allows in particular to carve out the scope within a ForOp or the scope within an IfOp.

The implementation traverses the use chains in postorder traversal for efficiency reasons: if an operation is already in forwardSlice, no need to traverse its uses again. Since use-def chains form a DAG, this terminates.

Upon return to the root call, forwardSlice is filled with a postorder list of uses (i.e. a reverse topological order). To get a proper topological order, we just reverse the order in forwardSlice before returning.

Example starting from node 0

          0

___________|___________ 1 2 3 4 |_______| |______| | | | | 5 6 |___|_____________| | | 7 8 |_______________| | 9

Assuming all local orders match the numbering order:

1. after getting back to the root getForwardSlice, forwardSlice may contain: {9, 7, 8, 5, 1, 2, 6, 3, 4}
2. reversing the result of 1. gives: {4, 3, 6, 2, 1, 5, 8, 7, 9}

Definition at line 55 of file SliceAnalysis.cpp.

References getForwardSliceImpl(), and options.

Referenced by computeDestructuringInfo(), getSlice(), getSliceContract(), hoistOpsBetween(), mlir::linalg::hoistRedundantVectorTransfers(), and promoteSingleIterReductionLoop().

getForwardSlice() [2/2]

void mlir::getForwardSlice	(	Value	root,
		SetVector< Operation * > *	forwardSlice,
		const ForwardSliceOptions &	options = {}
	)

Value-rooted version of getForwardSlice.

Return the union of all forward slices for the uses of the value root.

Definition at line 71 of file SliceAnalysis.cpp.

References getForwardSliceImpl(), mlir::Value::getUsers(), and options.

getI64SubArray()

SmallVector< int64_t > mlir::getI64SubArray	(	ArrayAttr	arrayAttr,
		unsigned	dropFront = 0,
		unsigned	dropBack = 0
	)

Helper to return a subset of arrayAttr as a vector of int64_t.

Definition at line 281 of file IndexingUtils.cpp.

References dropFront().

Referenced by DecomposeNDExtractStridedSlice::matchAndRewrite(), DecomposeDifferentRankInsertStridedSlice::matchAndRewrite(), and ConvertSameRankInsertStridedSliceIntoShuffle::matchAndRewrite().

getInnermostParallelLoops()

bool mlir::getInnermostParallelLoops	(	Operation *	rootOp,
		SmallVectorImpl< scf::ParallelOp > &	result
	)

Get a list of innermost parallel loops contained in rootOp.

Innermost parallel loops are those that do not contain further parallel loops themselves.

Definition at line 246 of file Utils.cpp.

References mlir::Operation::getRegions().

getLinearizedDimensions()

llvm::SmallBitVector mlir::getLinearizedDimensions

(

ArrayRef< ReassociationIndices >

reassociationIndices

)

Determine which dimensions are linearized by a tensor.collapse_shape op by inspecting its reassociation indices.

Definition at line 286 of file ReshapeOpsUtils.cpp.

References mlir::detail::enumerate().

Referenced by mlir::tensor::ExtractSliceFromCollapseHelper::create().

getMaxDimAndSymbol()

template<typename AffineExprContainer >

static void mlir::getMaxDimAndSymbol ( ArrayRef< AffineExprContainer >  exprsList, int64_t &  maxDim, int64_t &  maxSym  )

static

Calculates maximum dimension and symbol positions from the expressions in exprsLists and stores them in maxDim and maxSym respectively.

Definition at line 697 of file AffineMap.h.

References max().

Referenced by inferFromExprList(), and willBeValidAffineMap().

getMixedValues()

SmallVector<OpFoldResult> mlir::getMixedValues	(	ArrayRef< int64_t >	staticValues,
		ValueRange	dynamicValues,
		Builder &	b
	)

Return a vector of OpFoldResults with the same size a staticValues, but all elements for which ShapedType::isDynamic is true, will be replaced by dynamicValues.

Definition at line 193 of file StaticValueUtils.cpp.

References mlir::Builder::getI64IntegerAttr().

Referenced by inferExpandShapeOutputShape(), mlir::ComposeExpandOfCollapseOp< ExpandOpTy, CollapseOpTy >::matchAndRewrite(), and mlir::ComposeReassociativeReshapeOps< ReshapeOpTy, opKind >::matchAndRewrite().

getMultiAffineFunctionFromMap()

LogicalResult mlir::getMultiAffineFunctionFromMap	(	AffineMap	map,
		presburger::MultiAffineFunction &	multiAff
	)

Definition at line 1306 of file FlatLinearValueConstraints.cpp.

References getFlattenedAffineExprs(), mlir::presburger::IntegerRelation::getLocalReprs(), mlir::AffineMap::getNumDims(), mlir::presburger::DivisionRepr::getNumDivs(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), mlir::AffineMap::getNumSymbols(), and mlir::presburger::DivisionRepr::hasAllReprs().

getOffsetsSizesAndStrides()

std::tuple< SmallVector< OpFoldResult >, SmallVector< OpFoldResult >, SmallVector< OpFoldResult > > mlir::getOffsetsSizesAndStrides

(

ArrayRef< Range >

ranges

)

Given an array of Range values, return a tuple of (offset vector, sizes vector, and strides vector) formed by separating out the individual elements of each range.

Definition at line 29 of file StaticValueUtils.cpp.

getOrCreateRanges()

SmallVector< Range, 8 > mlir::getOrCreateRanges	(	OffsetSizeAndStrideOpInterface	op,
		OpBuilder &	b,
		Location	loc
	)

Return the list of Range (i.e.

offset, size, stride). Each Range entry contains either the dynamic value or a ConstantIndexOp constructed with b at location loc.

Definition at line 3034 of file MemRefOps.cpp.

References mlir::OpBuilder::create().

getPerfectlyNestedLoops()

void mlir::getPerfectlyNestedLoops	(	SmallVectorImpl< scf::ForOp > &	nestedLoops,
		scf::ForOp	root
	)

Get perfectly nested sequence of loops starting at root of loop nest (the first op being another AffineFor, and the second op - a terminator).

A loop is perfectly nested iff: the first op in the loop's body is another AffineForOp, and the second op is a terminator).

Definition at line 1317 of file Utils.cpp.

References getPerfectlyNestedLoopsImpl().

Referenced by coalescePerfectlyNestedSCFForLoops().

getPositionsOfShapeOne()

llvm::SmallBitVector mlir::getPositionsOfShapeOne	(	unsigned	rank,
		ArrayRef< int64_t >	shape
	)

Definition at line 91 of file Utils.cpp.

getProjectedMap()

AffineMap mlir::getProjectedMap	(	AffineMap	map,
		const llvm::SmallBitVector &	projectedDimensions,
		bool	compressDimsFlag = true,
		bool	compressSymbolsFlag = true
	)

Calls projectDims(map, projectedDimensions, compressDimsFlag).

If compressSymbolsFlag is true, additionally call compressUnusedSymbols.

Definition at line 920 of file AffineMap.cpp.

References compressUnusedSymbols(), and projectDims().

getPrunedAttributeList()

SmallVector< NamedAttribute > mlir::getPrunedAttributeList	(	Operation *	op,
		ArrayRef< StringRef >	elidedAttrs
	)

Definition at line 220 of file StructuredOpsUtils.cpp.

References mlir::Operation::getAttrs().

Referenced by mlir::tensor::bubbleUpPadSlice().

getReassociationAttrName()

constexpr StringRef mlir::getReassociationAttrName ( )

constexpr

Attribute name for the ArrayAttr which encodes reassociation indices.

Definition at line 31 of file ReshapeOpsUtils.h.

getReassociationIndicesAttribute()

ArrayAttr mlir::getReassociationIndicesAttribute	(	OpBuilder &	b,
		ArrayRef< ReassociationIndices >	reassociation
	)

Wraps a list of reassociations in an ArrayAttr.

Definition at line 160 of file ReshapeOpsUtils.cpp.

References mlir::Builder::getArrayAttr(), and mlir::Builder::getI64ArrayAttr().

getReassociationIndicesForCollapse()

std::optional< SmallVector< ReassociationIndices > > mlir::getReassociationIndicesForCollapse	(	ArrayRef< int64_t >	sourceShape,
		ArrayRef< int64_t >	targetShape
	)

Returns the reassociation maps to collapse sourceShape to targetShape if possible.

Definition at line 32 of file ReshapeOpsUtils.cpp.

Referenced by getReassociationIndicesForReshape().

getReassociationIndicesForReshape()

std::optional< SmallVector< ReassociationIndices > > mlir::getReassociationIndicesForReshape	(	ShapedType	sourceType,
		ShapedType	targetType
	)

Return the reassociations maps to use to reshape given the source type and the target type when possible.

Return std::nullopt when this computation failed.

Definition at line 20 of file ReshapeOpsUtils.cpp.

References getReassociationIndicesForCollapse().

getSCFMinMaxExpr()

std::optional<std::pair<AffineExpr, AffineExpr> > mlir::getSCFMinMaxExpr	(	Value	value,
		SmallVectorImpl< Value > &	dims,
		SmallVectorImpl< Value > &	symbols,
		llvm::function_ref< bool(Operation *)>	loopFilter = nullptr
	)

Return the min/max expressions for value if it is an induction variable from scf.for or scf.parallel loop.

if loopFilter is passed, the filter determines which loop to consider. Other induction variables are ignored.

getSimplifiedOfrAndStaticSizePair()

std::pair< int64_t, OpFoldResult > mlir::getSimplifiedOfrAndStaticSizePair	(	OpFoldResult	ofr,
		Builder &	b
	)

Given OpFoldResult representing dim size value (*), generates a pair of sizes:

• 1st result, static value, contains an int64_t dim size that can be used to build ShapedType (ShapedType::kDynamic is used for truly dynamic dims),
• 2nd result, dynamic value, contains OpFoldResult encapsulating the actual dim size (either original or updated input value). For input sizes for which it is possible to extract a constant Attribute, replaces the original size value with an integer attribute (unless it's already a constant Attribute). The 1st return value also becomes the actual integer size (as opposed ShapedType::kDynamic).

(*) This hook is usually used when, given input sizes as OpFoldResult, it's required to generate two vectors:

• sizes as int64_t to generate a shape,
• sizes as OpFoldResult for sizes-like attribute. Please update this comment if you identify other use cases.

Definition at line 62 of file StaticValueUtils.cpp.

References getConstantIntValue(), and mlir::Builder::getIndexAttr().

Referenced by mlir::linalg::DecomposeOuterUnitDimsPackOpPattern::matchAndRewrite().

getSinglyExecutedRegionsToSink()

void mlir::getSinglyExecutedRegionsToSink	(	RegionBranchOpInterface	branch,
		SmallVectorImpl< Region * > &	regions
	)

Populates regions with regions of the provided region branch op that are executed at most once at that are reachable given the current operands of the op.

These regions can be passed to controlFlowSink to perform sinking on the regions of the operation.

Definition at line 135 of file ControlFlowSinkUtils.cpp.

References mlir::detail::enumerate(), mlir::InvocationBounds::getUpperBound(), m_Constant(), and matchPattern().

getSlice()

SetVector< Operation * > mlir::getSlice	(	Operation *	op,
		const BackwardSliceOptions &	backwardSliceOptions = {},
		const ForwardSliceOptions &	forwardSliceOptions = {}
	)

Iteratively computes backward slices and forward slices until a fixed point is reached.

Returns an SetVector<Operation *> which includes the original operation.

This allows building a slice (i.e. multi-root DAG where everything that is reachable from an Value in forward and backward direction is contained in the slice). This is the abstraction we need to materialize all the operations for supervectorization without worrying about orderings and Value replacements.

Example starting from any node

1 2 3 4 |_______| |______| | | | | | 5 6___| |___|_____________| | | | | 7 8 | |_______________| | | | 9 10

Return the whole DAG in some topological order.

The implementation works by just filling up a worklist with iterative alternate calls to getBackwardSlice and getForwardSlice.

The following section describes some additional implementation considerations for a potentially more efficient implementation but they are just an intuition without proof, we still use a worklist for now.

Additional implementation considerations

Consider the defs-op-uses hourglass.

---

\ / defs (in some topological order) \/ op /\ / \ uses (in some topological order) /____\

We want to iteratively apply getSlice to construct the whole list of Operation that are reachable by (use|def)+ from op. We want the resulting slice in topological order. Ideally we would like the ordering to be maintained in-place to avoid copying Operation at each step. Keeping this ordering by construction seems very unclear, so we list invariants in the hope of seeing whether useful properties pop up.

In the following: we use |= for set inclusion; we use << for set topological ordering (i.e. each pair is ordered).

Assumption:

We wish to maintain the following property by a recursive argument: """ defs << {op} <<uses are in topological order. """ The property clearly holds for 0 and 1-sized uses and defs;

Invariants:

1. defs and uses are in topological order internally, by construction;
2. for any {x} |= defs, defs(x) |= defs; because all go through op
3. for any {x} |= uses, defs |= defs(x); because all go through op
4. for any {x} |= defs, uses |= uses(x); because all go through op
5. for any {x} |= uses, uses(x) |= uses; because all go through op

Intuitively, we should be able to recurse like: preorder(defs) - op - postorder(uses) and keep things ordered but this is still hand-wavy and not worth the trouble for now: punt to a simple worklist-based solution.

Definition at line 161 of file SliceAnalysis.cpp.

References getBackwardSlice(), getForwardSlice(), and topologicalSort().

getSlicedDimensions()

llvm::SmallBitVector mlir::getSlicedDimensions	(	ArrayRef< OpFoldResult >	sliceInputShape,
		ArrayRef< Range >	sliceParams
	)

The input parameters offsets, sizes, strides specify a rectangular non rank-reducing slice of the collapse_shape output.

Try to find which dimensions have been sliced and which dimensions are not sliced (offset = 0, size = dim, size = 1). Note that this conservative as it cannot detect if a dynamic size corresponds to the full tensor dimension or not.

Definition at line 269 of file ReshapeOpsUtils.cpp.

References getConstantIntValue(), and isEqualConstantIntOrValue().

Referenced by mlir::tensor::ExtractSliceFromCollapseHelper::create().

getStridesAndOffset() [1/2]

std::pair< SmallVector< int64_t >, int64_t > mlir::getStridesAndOffset

(

MemRefType

t

)

Wrapper around getStridesAndOffset(MemRefType, SmallVectorImpl<int64_t>, int64_t) that will assert if the logical result is not succeeded.

Definition at line 834 of file BuiltinTypes.cpp.

References getStridesAndOffset().

getStridesAndOffset() [2/2]

LogicalResult mlir::getStridesAndOffset	(	MemRefType	t,
		SmallVectorImpl< int64_t > &	strides,
		int64_t &	offset
	)

Returns the strides of the MemRef if the layout map is in strided form.

MemRefs with a layout map in strided form include:

1. empty or identity layout map, in which case the stride information is the canonical form computed from sizes;
2. a StridedLayoutAttr layout;
3. any other layout that be converted into a single affine map layout of the form K + k0 * d0 + ... kn * dn, where K and ki's are constants or symbols.

A stride specification is a list of integer values that are either static or dynamic (encoded with ShapedType::kDynamic). Strides encode the distance in the number of elements between successive entries along a particular dimension.

Definition at line 804 of file BuiltinTypes.cpp.

Referenced by mlir::MemRefDescriptor::bufferPtr(), mlir::LLVMTypeConverter::canConvertToBarePtr(), mlir::nvgpu::canLowerToWarpMatrixOperation(), mlir::bufferization::castOrReallocMemRefValue(), computeCollapsedLayoutMap(), computeExpandedLayoutMap(), computeMemRefRankReductionMask(), mlir::MemRefDescriptor::fromStaticShape(), getCastCompatibleMemRefType(), getConstantOffset(), getConstantStrides(), getFlatOffsetAndStrides(), mlir::spirv::getOpenCLElementPtr(), getStaticallyKnownRowStride(), getStridesAndOffset(), mlir::spirv::getVulkanElementPtr(), hasFullyDynamicLayoutMap(), haveCompatibleOffsets(), haveCompatibleStrides(), inferTransposeResultType(), isLastMemrefDimUnitStride(), mlir::memref::isStaticShapeAndContiguousRowMajor(), isStrided(), mlirMemRefTypeGetStridesAndOffset(), SubViewReturnTypeCanonicalizer::operator()(), mlir::memref::populateMemRefNarrowTypeEmulationConversions(), staticallyOutOfBounds(), and trailingNDimsContiguous().

getSymbolLessAffineMaps()

SmallVector< AffineMap, 4 > mlir::getSymbolLessAffineMaps

(

ArrayRef< ReassociationExprs >

reassociation

)

Constructs affine maps out of Array<Array<AffineExpr>>.

Definition at line 184 of file ReshapeOpsUtils.cpp.

References mlir::AffineMap::get(), and getContext().

getType()

Type mlir::getType

(

OpFoldResult

ofr

)

Returns the int type of the integer in ofr.

Other attribute types are not supported.

Definition at line 305 of file Utils.cpp.

Referenced by mlir::sparse_tensor::allocaBuffer(), buildCostGraph(), collectReductionInfo(), convertElementwiseOp(), createFullPartialVectorTransferWrite(), mlir::LLVM::detail::createIntrinsicCall(), createSingleExitingLatch(), denormalizeInductionVariable(), mlir::spirv::Deserializer::processOp< spirv::FunctionCallOp >(), mlir::spirv::Deserializer::processOp< spirv::GenericCastToPtrExplicitOp >(), mlir::linalg::dropUnitDims(), emitNormalizedLoopBounds(), fuse(), mlir::affine::AffineDmaStartOp::getDstMemorySpace(), mlir::affine::AffineDmaStartOp::getDstMemRefRank(), mlir::affine::AffineDmaStartOp::getDstMemRefType(), mlir::sparse_tensor::getMemRefType(), getProductOfIntsOrIndexes(), mlir::sparse_tensor::getRankedTensorType(), mlir::affine::AffineDmaStartOp::getSrcMemorySpace(), mlir::affine::AffineDmaStartOp::getSrcMemRefType(), mlir::affine::AffineDmaStartOp::getTagMemRefRank(), mlir::affine::AffineDmaWaitOp::getTagMemRefRank(), mlir::affine::AffineDmaStartOp::getTagMemRefType(), mlir::affine::AffineDmaWaitOp::getTagMemRefType(), mlir::pdll::ast::RangeExpr::getType(), mlir::pdll::ast::TupleExpr::getType(), handleMultidimensionalVectors(), isContiguousXferOp(), mlirLLVMDISubprogramAttrGetType(), mlirTransformParamTypeGetType(), mlirTupleTypeGetType(), mlirValueGetType(), mlir::linalg::rewriteInIm2Col(), useOperandGroup(), verifyArithmeticExtendedBinaryOp(), mlir::detail::verifyBranchSuccessorOperands(), mlir::affine::AffineDmaStartOp::verifyInvariantsImpl(), mlir::affine::AffineDmaWaitOp::verifyInvariantsImpl(), and mlir::detail::verifyLoopLikeOpInterface().

getUnusedDimsBitVector()

llvm::SmallBitVector mlir::getUnusedDimsBitVector

(

ArrayRef< AffineMap >

maps

)

Definition at line 930 of file AffineMap.cpp.

Referenced by compressUnusedDims(), and verifyOutputShape().

getUnusedSymbolsBitVector()

llvm::SmallBitVector mlir::getUnusedSymbolsBitVector

(

ArrayRef< AffineMap >

maps

)

Definition at line 942 of file AffineMap.cpp.

Referenced by compressUnusedSymbols().

getUsedValuesDefinedAbove() [1/2]

void mlir::getUsedValuesDefinedAbove	(	MutableArrayRef< Region >	regions,
		SetVector< Value > &	values
	)

Fill values with a list of values used within any of the regions provided but defined in one of the ancestors.

Definition at line 74 of file RegionUtils.cpp.

References getUsedValuesDefinedAbove().

getUsedValuesDefinedAbove() [2/2]

void mlir::getUsedValuesDefinedAbove	(	Region &	region,
		Region &	limit,
		SetVector< Value > &	values
	)

Fill values with a list of values defined at the ancestors of the limit region and used within region or its descendants.

Definition at line 67 of file RegionUtils.cpp.

References mlir::IROperand< DerivedT, IRValueT >::get(), and visitUsedValuesDefinedAbove().

Referenced by mlir::async::cloneConstantsIntoTheRegion(), computeBackwardSlice(), getParallelComputeFunctionType(), getUsedValuesDefinedAbove(), makeRegionIsolatedFromAbove(), outlineExecuteOp(), outlineKernelFuncImpl(), outlineSingleBlockRegion(), and sinkOperationsIntoLaunchOp().

getValueOrCreateCastToIndexLike()

Value mlir::getValueOrCreateCastToIndexLike	(	OpBuilder &	b,
		Location	loc,
		Type	targetType,
		Value	value
	)

Create a cast from an index-like value (index or integer) to another index-like value.

If the value type and the target type are the same, it returns the original value.

Definition at line 120 of file Utils.cpp.

References mlir::OpBuilder::create(), mlir::Value::getType(), and mlir::Type::isIndex().

getValueOrCreateConstantIndexOp() [1/2]

SmallVector< Value > mlir::getValueOrCreateConstantIndexOp	(	OpBuilder &	b,
		Location	loc,
		ArrayRef< OpFoldResult >	valueOrAttrVec
	)

Similar to the other overload, but converts multiple OpFoldResults into Values.

Definition at line 263 of file Utils.cpp.

References getValueOrCreateConstantIndexOp().

getValueOrCreateConstantIndexOp() [2/2]

Value mlir::getValueOrCreateConstantIndexOp	(	OpBuilder &	b,
		Location	loc,
		OpFoldResult	ofr
	)

Converts an OpFoldResult to a Value.

Returns the fold result if it casts to a Value or creates a ConstantIndexOp if it casts to an Integer Attribute. Other attribute types are not supported.

Definition at line 112 of file Utils.cpp.

References mlir::OpBuilder::create().

Referenced by mlir::tensor::bubbleUpPadSlice(), HopperBuilder::buildAndInitBarrierInSharedMemory(), HopperBuilder::buildBarrierArriveTx(), HopperBuilder::buildGlobalMemRefDescriptor(), buildLinearId(), calculateExpandedAccessIndices(), mlir::linalg::collapseOpIterationDims(), mlir::linalg::computeContinuousTileSizes(), mlir::linalg::computeMultiTileSizes(), mlir::tensor::ExtractSliceFromCollapseHelper::create(), createInBoundsCond(), mlir::affine::delinearizeIndex(), denormalizeInductionVariableForIndexType(), denormalizeIndVar(), dynamicallyInsertSubVector(), emulatedVectorLoad(), genBuffers(), generateLoopNestUsingForOp(), getBoundedTileSize(), getCompressedMaskOp(), getIndicesForLoadOrStore(), getOffsetForBitwidth(), getProductOfIntsOrIndexes(), getValueOrCreateConstantIndexOp(), mlir::scf::lowerToLoopsUsingSCFForOp(), InsertSliceVectorizePattern::matchAndRewrite(), mlir::memref::multiBuffer(), mlir::linalg::offsetIndices(), mlir::linalg::promoteSubviewAsNewBuffer(), mlir::affine::resolveIndicesIntoOpWithOffsetsAndStrides(), resolveSourceIndicesCollapseShape(), resolveSourceIndicesExpandShape(), PadOpVectorizationWithInsertSlicePattern::rewriteUser(), mlir::linalg::tileReductionUsingForall(), and unpackRanges().

getValueOrCreateConstantIntOp()

Value mlir::getValueOrCreateConstantIntOp	(	OpBuilder &	b,
		Location	loc,
		OpFoldResult	ofr
	)

Converts an OpFoldResult to a Value.

Returns the fold result if it casts to a Value or creates a ConstantOp if it casts to an Integer Attribute. Other attribute types are not supported.

Definition at line 103 of file Utils.cpp.

References mlir::OpBuilder::create(), and mlir::Builder::getIntegerAttr().

Referenced by coalesceLoops(), collapseParallelLoops(), denormalizeInductionVariable(), and emitNormalizedLoopBounds().

getValuesSortedByKey() [1/3]

SmallVector<int64_t> mlir::getValuesSortedByKey	(	ArrayRef< Attribute >	keys,
		ArrayRef< int64_t >	values,
		llvm::function_ref< bool(Attribute, Attribute)>	compare
	)

Definition at line 256 of file StaticValueUtils.cpp.

References mlir::presburger::compare(), and getValuesSortedByKeyImpl().

getValuesSortedByKey() [2/3]

SmallVector< OpFoldResult > mlir::getValuesSortedByKey	(	ArrayRef< Attribute >	keys,
		ArrayRef< OpFoldResult >	values,
		llvm::function_ref< bool(Attribute, Attribute)>	compare
	)

Definition at line 250 of file StaticValueUtils.cpp.

References mlir::presburger::compare(), and getValuesSortedByKeyImpl().

getValuesSortedByKey() [3/3]

SmallVector< Value > mlir::getValuesSortedByKey	(	ArrayRef< Attribute >	keys,
		ArrayRef< Value >	values,
		llvm::function_ref< bool(Attribute, Attribute)>	compare
	)

Helper to sort values according to matching keys.

Definition at line 244 of file StaticValueUtils.cpp.

References mlir::presburger::compare(), and getValuesSortedByKeyImpl().

Referenced by rewriteOneForallCommonImpl().

getValuesSortedByKeyImpl()

template<typename K , typename V >

static SmallVector<V> mlir::getValuesSortedByKeyImpl ( ArrayRef< K >  keys, ArrayRef< V >  values, llvm::function_ref< bool(K, K)>  compare  )

static

Helper to sort values according to matching keys.

Definition at line 228 of file StaticValueUtils.cpp.

Referenced by getValuesSortedByKey().

hasEffect() [1/3]

template<typename... EffectTys>

bool mlir::hasEffect

(

Operation *

op

)

Returns true if op has an effect of type EffectTy.

Definition at line 211 of file SideEffectInterfaces.cpp.

References mlir::SideEffects::EffectInstance< EffectT >::getEffect().

hasEffect() [2/3]

template<typename... EffectTys>

bool mlir::hasEffect	(	Operation *	op,
		Value	value
	)

Returns true if op has an effect of type EffectTy on value.

Definition at line 229 of file SideEffectInterfaces.cpp.

References mlir::SideEffects::EffectInstance< EffectT >::getEffect(), and mlir::SideEffects::EffectInstance< EffectT >::getValue().

hasEffect() [3/3]

template<typename ValueTy , typename... EffectTys>

bool mlir::hasEffect	(	Operation *	op,
		ValueTy	value
	)

Returns true if op has an effect of type EffectTy on value of type ValueTy.

Definition at line 251 of file SideEffectInterfaces.cpp.

References mlir::SideEffects::EffectInstance< EffectT >::getEffect(), and mlir::SideEffects::EffectInstance< EffectT >::getEffectValue().

hash_value() [1/12]

inline ::llvm::hash_code mlir::hash_value

(

AffineExpr

arg

)

Make AffineExpr hashable.

Definition at line 260 of file AffineExpr.h.

Referenced by mlir::OperationEquivalence::directHashValue(), llvm::DenseMapInfo< mlir::AffineExpr >::getHashValue(), llvm::DenseMapInfo< mlir::AffineMap >::getHashValue(), llvm::DenseMapInfo< mlir::Attribute >::getHashValue(), llvm::DenseMapInfo< mlir::IntegerSet >::getHashValue(), llvm::DenseMapInfo< mlir::Location >::getHashValue(), llvm::DenseMapInfo< mlir::NamedAttribute >::getHashValue(), llvm::DenseMapInfo< mlir::Type >::getHashValue(), llvm::DenseMapInfo< mlir::TypeID >::getHashValue(), and llvm::DenseMapInfo< mlir::Value >::getHashValue().

hash_value() [2/12]

inline ::llvm::hash_code mlir::hash_value

(

AffineMap

arg

)

Definition at line 425 of file AffineMap.h.

hash_value() [3/12]

inline ::llvm::hash_code mlir::hash_value

(

Attribute

arg

)

Definition at line 198 of file Attributes.h.

hash_value() [4/12]

llvm::hash_code mlir::hash_value ( const AsmDialectResourceHandle &  param )

inline

Definition at line 96 of file OpImplementation.h.

References mlir::AsmDialectResourceHandle::getResource().

hash_value() [5/12]

inline ::llvm::hash_code mlir::hash_value

(

const NamedAttribute &

arg

)

Definition at line 256 of file Attributes.h.

hash_value() [6/12]

inline ::llvm::hash_code mlir::hash_value

(

IntegerSet

arg

)

Definition at line 124 of file IntegerSet.h.

hash_value() [7/12]

inline ::llvm::hash_code mlir::hash_value

(

Location

arg

)

Definition at line 129 of file Location.h.

hash_value() [8/12]

llvm::hash_code mlir::hash_value ( OperationName  arg )

inline

Definition at line 515 of file OperationSupport.h.

References mlir::OperationName::getAsOpaquePointer().

hash_value() [9/12]

inline ::llvm::hash_code mlir::hash_value

(

Type

arg

)

Definition at line 326 of file Types.h.

hash_value() [10/12]

inline ::llvm::hash_code mlir::hash_value

(

TypeID

id

)

Enable hashing TypeID.

Definition at line 149 of file TypeID.h.

hash_value() [11/12]

inline ::llvm::hash_code mlir::hash_value

(

TypeRange

arg

)

Make TypeRange hashable.

Definition at line 72 of file TypeRange.h.

Referenced by llvm::DenseMapInfo< mlir::TypeRange >::getHashValue().

hash_value() [12/12]

inline ::llvm::hash_code mlir::hash_value

(

Value

arg

)

Make Value hashable.

Definition at line 490 of file Value.h.

hasNonIdentityLayout()

bool mlir::hasNonIdentityLayout

(

Type

type

)

Returns true iff the type is a MemRefType and has a non-identity layout.

Definition at line 262 of file ReshapeOpsUtils.cpp.

Referenced by mlir::ComposeCollapseOfExpandOp< CollapseOpTy, ExpandOpTy, CastOpTy, DimOpTy, TensorTy >::matchAndRewrite(), mlir::ComposeExpandOfCollapseOp< ExpandOpTy, CollapseOpTy >::matchAndRewrite(), and mlir::ComposeReassociativeReshapeOps< ReshapeOpTy, opKind >::matchAndRewrite().

hasSingleEffect() [1/3]

template<typename EffectTy >

bool mlir::hasSingleEffect

(

Operation *

op

)

Returns true if op has only an effect of type EffectTy.

Definition at line 107 of file SideEffectInterfaces.cpp.

hasSingleEffect() [2/3]

template<typename EffectTy >

bool mlir::hasSingleEffect	(	Operation *	op,
		Value	value
	)

Returns true if op has only an effect of type EffectTy (and of no other type) on value.

Definition at line 129 of file SideEffectInterfaces.cpp.

hasSingleEffect() [3/3]

template<typename ValueTy , typename EffectTy >

bool mlir::hasSingleEffect	(	Operation *	op,
		ValueTy	value
	)

Returns true if op has only an effect of type EffectTy (and of no other type) on value of type ValueTy.

Definition at line 158 of file SideEffectInterfaces.cpp.

hasValidSizesOffsets()

bool mlir::hasValidSizesOffsets

(

SmallVector< int64_t >

sizesOrOffsets

)

Helper function to check whether the passed in sizes or offsets are valid.

This can be used to re-check whether dimensions are still valid after constant folding the dynamic dimensions.

Definition at line 281 of file StaticValueUtils.cpp.

hasValidStrides()

bool mlir::hasValidStrides

(

SmallVector< int64_t >

strides

)

Helper function to check whether the passed in strides are valid.

This can be used to re-check whether dimensions are still valid after constant folding the dynamic dimensions.

Definition at line 287 of file StaticValueUtils.cpp.

hoistLoopInvariantSubsets()

LoopLikeOpInterface mlir::hoistLoopInvariantSubsets	(	RewriterBase &	rewriter,
		LoopLikeOpInterface	loopLike
	)

Hoist loop-invariant tensor subsets (subset extraction and subset insertion ops) from loop-like ops.

Extraction ops are moved before the loop. Insertion ops are moved after the loop. The loop body operates on newly added region iter_args (one per extraction-insertion pair).

A subset extraction op (SubsetExtractionOpInterface) extracts from a tensor value at a subset. The result of the op may have an arbitrary type, i.e., not necessarily a tensor type. Example: "tensor.extract_slice".

A subset insertion op (SubsetInsertionOpInterface) inserts into a tensor value ("destination") at a subset. Example: "tensor.insert_slice".

Matching extraction-insertion subset ops can be hoisted from a loop if there are no other ops within the loop that operate on the same or on an overlapping subset. In particular, non-subset ops can prevent hoisting because the analysis does not know what subset they operate on.

Example:

%r = scf.for ... iter_args(%t = %a) -> (tensor<?xf32>) {
  %0 = tensor.extract_slice %t[0][5][1] : tensor<?xf32> to tensor<5xf32>
  %1 = "test.foo"(%0) : (tensor<5xf32>) -> (tensor<5xf32>)
  %2 = tensor.insert_slice %1 into %t[0][5][1]
      : tensor<5xf32> into tensor<?xf32>
  scf.yield %2 : tensor<?xf32>
}

Is rewritten to:

%0 = tensor.extract_slice %a[0][5][1] : tensor<?xf32> to tensor<5xf32>
%new_loop:2 = scf.for ... iter_args(%t = %a, %h = %0) -> (tensor<?xf32>) {
  %1 = "test.foo"(%h) : (tensor<5xf32>) -> (tensor<5xf32>)
  scf.yield %t, %2 : tensor<?xf32>, tensor<5xf32>
}
%r = tensor.insert_slice %new_loop#1 into %new_loop#0
    : tensor<5xf32> into tensor<?xf32>

Definition at line 392 of file LoopInvariantCodeMotionUtils.cpp.

References hoistSubsetAtIterArg().

inferExpandShapeOutputShape()

std::optional< SmallVector< OpFoldResult > > mlir::inferExpandShapeOutputShape	(	OpBuilder &	b,
		Location	loc,
		ShapedType	expandedType,
		ArrayRef< ReassociationIndices >	reassociation,
		ArrayRef< OpFoldResult >	inputShape
	)

Infer the output shape for a {memref|tensor}.expand_shape when it is possible to do so.

Note: This should only be used to implement ExpandShapeOp::inferOutputShape in both the memref and tensor namespaces. If you need to infer the output shape you should use the static method of ExpandShapeOp instead of calling this.

inputShape is the shape of the tensor or memref being expanded as a sequence of SSA values or constants. expandedType is the output shape of the expand_shape operation. reassociation is the reassociation denoting the output dims each input dim is mapped to.

Returns the output shape in outputShape and staticOutputShape, following the conventions for the output_shape and static_output_shape inputs to the expand_shape ops.

Definition at line 24 of file Utils.cpp.

References mlir::OpBuilder::create(), mlir::OpBuilder::createOrFold(), mlir::detail::enumerate(), and getMixedValues().

Referenced by resolveSourceIndicesExpandShape().

inlineCall()

LogicalResult mlir::inlineCall	(	InlinerInterface &	interface,
		CallOpInterface	call,
		CallableOpInterface	callable,
		Region *	src,
		bool	shouldCloneInlinedRegion = true
	)

This function inlines a given region, 'src', of a callable operation, 'callable', into the location defined by the given call operation.

This function returns failure if inlining is not possible, success otherwise. On failure, no changes are made to the module. 'shouldCloneInlinedRegion' corresponds to whether the source region should be cloned into the 'call' or spliced directly.

Definition at line 443 of file InliningUtils.cpp.

References mlir::Region::empty(), mlir::Region::front(), mlir::Value::getDefiningOp(), mlir::DialectInterfaceCollection< InterfaceType >::getInterfaceFor(), mlir::Value::getType(), inlineRegionImpl(), mlir::InlinerInterface::isLegalToInline(), mlir::IRMapping::map(), materializeConversion(), mlir::Value::replaceAllUsesWith(), mlir::Operation::replaceUsesOfWith(), and mlir::OpBuilder::setInsertionPointAfter().

inlineRegion() [1/4]

LogicalResult mlir::inlineRegion	(	InlinerInterface &	interface,
		Region *	src,
		Block *	inlineBlock,
		Block::iterator	inlinePoint,
		IRMapping &	mapper,
		ValueRange	resultsToReplace,
		TypeRange	regionResultTypes,
		std::optional< Location >	inlineLoc = std::nullopt,
		bool	shouldCloneInlinedRegion = true
	)

Definition at line 381 of file InliningUtils.cpp.

References inlineRegionImpl().

inlineRegion() [2/4]

LogicalResult mlir::inlineRegion	(	InlinerInterface &	interface,
		Region *	src,
		Block *	inlineBlock,
		Block::iterator	inlinePoint,
		ValueRange	inlinedOperands,
		ValueRange	resultsToReplace,
		std::optional< Location >	inlineLoc = std::nullopt,
		bool	shouldCloneInlinedRegion = true
	)

Definition at line 403 of file InliningUtils.cpp.

References inlineRegionImpl().

inlineRegion() [3/4]

LogicalResult mlir::inlineRegion	(	InlinerInterface &	interface,
		Region *	src,
		Operation *	inlinePoint,
		IRMapping &	mapper,
		ValueRange	resultsToReplace,
		TypeRange	regionResultTypes,
		std::optional< Location >	inlineLoc = std::nullopt,
		bool	shouldCloneInlinedRegion = true
	)

This function inlines a region, 'src', into another.

This function returns failure if it is not possible to inline this function. If the function returned failure, then no changes to the module have been made.

The provided 'inlinePoint' must be within a region, and corresponds to the location where the 'src' region should be inlined. 'mapping' contains any remapped operands that are used within the region, and must include remappings for the entry arguments to the region. 'resultsToReplace' corresponds to any results that should be replaced by terminators within the inlined region. 'regionResultTypes' specifies the expected return types of the terminators in the region. 'inlineLoc' is an optional Location that, if provided, will be used to update the inlined operations' location information. 'shouldCloneInlinedRegion' corresponds to whether the source region should be cloned into the 'inlinePoint' or spliced directly.

Definition at line 371 of file InliningUtils.cpp.

References mlir::Operation::getBlock().

Referenced by inlineRegion().

inlineRegion() [4/4]

LogicalResult mlir::inlineRegion	(	InlinerInterface &	interface,
		Region *	src,
		Operation *	inlinePoint,
		ValueRange	inlinedOperands,
		ValueRange	resultsToReplace,
		std::optional< Location >	inlineLoc = std::nullopt,
		bool	shouldCloneInlinedRegion = true
	)

This function is an overload of the above 'inlineRegion' that allows for providing the set of operands ('inlinedOperands') that should be used in-favor of the region arguments when inlining.

Definition at line 393 of file InliningUtils.cpp.

References mlir::Operation::getBlock(), and inlineRegion().

insertTypesInto()

TypeRange mlir::insertTypesInto	(	TypeRange	oldTypes,
		ArrayRef< unsigned >	indices,
		TypeRange	newTypes,
		SmallVectorImpl< Type > &	storage
	)

Insert a set of newTypes into oldTypes at the given indices.

If any types are inserted, storage is used to hold the new type list. The new type list is returned. indices must be sorted by increasing index.

Definition at line 176 of file TypeUtilities.cpp.

insideMutuallyExclusiveRegions()

bool mlir::insideMutuallyExclusiveRegions	(	Operation *	a,
		Operation *	b
	)

Return true if a and b are in mutually exclusive regions as per RegionBranchOpInterface.

Return true if a and b are in mutually exclusive regions.

1. Find the first common of a and b (ancestor) that implements RegionBranchOpInterface.
2. Determine the regions regionA and regionB in which a and b are contained.
3. Check if regionA and regionB are mutually exclusive. They are mutually exclusive if they are not reachable from each other as per RegionBranchOpInterface::getSuccessorRegions.

Definition at line 284 of file ControlFlowInterfaces.cpp.

References mlir::Operation::getParentOfType().

inverseAndBroadcastProjectedPermutation()

AffineMap mlir::inverseAndBroadcastProjectedPermutation

(

AffineMap

map

)

Return the reverse map of a projected permutation where the projected dimensions are transformed into 0s.

Prerequisites: map must be a projected permutation.

Example 1:

affine_map<(d0, d1, d2, d3) -> (d2, d0)>

returns:

affine_map<(d0, d1) -> (d1, 0, d0, 0)>

Example 2:

affine_map<(d0, d1, d2, d3) -> (d0, d3)>

returns:

affine_map<(d0, d1) -> (d0, 0, 0, d1)>

Example 3:

affine_map<(d0, d1, d2, d3) -> (d2)>

returns:

affine_map<(d0) -> (0, 0, d0, 0)>

Example 4:

affine_map<(d0, d1, d2) -> (d0, 0)>

returns:

affine_map<(d0, d1) -> (d0, 0, 0)>

Definition at line 815 of file AffineMap.cpp.

References mlir::AffineMap::get(), getAffineConstantExpr(), getAffineDimExpr(), mlir::AffineMap::getContext(), mlir::AffineMap::getDimPosition(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), mlir::AffineMap::getResult(), and mlir::AffineMap::isProjectedPermutation().

inversePermutation()

AffineMap mlir::inversePermutation

(

AffineMap

map

)

Returns a map of codomain to domain dimensions such that the first codomain dimension for a particular domain dimension is selected.

Returns an empty map if the input map is empty. Returns null map (not empty map) if map is not invertible (i.e. map does not contain a subset that is a permutation of full domain rank).

Prerequisites:

1. map has no symbols.

Example 1:

(d0, d1, d2) -> (d1, d1, d0, d2, d1, d2, d1, d0)
                  0       2   3

returns:

(d0, d1, d2, d3, d4, d5, d6, d7) -> (d2, d0, d3)

Example 2:

(d0, d1, d2) -> (d1, d0 + d1, d0, d2, d1, d2, d1, d0)
                  0            2   3

returns:

(d0, d1, d2, d3, d4, d5, d6, d7) -> (d2, d0, d3)

Definition at line 791 of file AffineMap.cpp.

References mlir::detail::enumerate(), mlir::AffineMap::get(), getAffineDimExpr(), mlir::AffineMap::getContext(), mlir::AffineMap::getNumDims(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), mlir::AffineMap::getNumSymbols(), mlir::AffineMap::getResults(), and mlir::AffineMap::isEmpty().

Referenced by mlir::linalg::detail::canOpOperandsBeDroppedImpl(), mlir::linalg::dropUnitDims(), mlir::linalg::fuseElementwiseOps(), getIndexingMapOfProducerOperandsInCoordinatesOfFusedOp(), mlir::sparse_tensor::inferLvlToDim(), mlir::vector::inferTransferOpMaskType(), mlir::linalg::interchangeGenericOp(), interchangeGenericOpPrecondition(), isOpOperandCanBeDroppedAfterFusedLinalgs(), mlir::linalg::rewriteInIm2Col(), tileLinalgOpImpl(), and mlir::scf::tileUsingSCF().

invertPermutationVector()

SmallVector< int64_t > mlir::invertPermutationVector

(

ArrayRef< int64_t >

permutation

)

Helper method to apply to inverse a permutation.

Definition at line 205 of file IndexingUtils.cpp.

References mlir::detail::enumerate().

Referenced by getPackUnpackNormalizedPerm(), inferStaticShape(), mlir::linalg::lowerPack(), SwapTransposeWithBroadcast::matchAndRewrite(), mlir::linalg::DecomposeOuterUnitDimsUnPackOpPattern::matchAndRewrite(), mlir::scf::tileUsingSCF(), and vectorizeAsTensorPackOp().

isBatchMatvec()

bool mlir::isBatchMatvec

(

ArrayAttr

indexingMaps

)

Tests whether the given maps describe a batch matrix vector multiplication.

The test is permutation-invariant. Note that this only checks the affine maps from an operation, so does not perform any checks on the math being performed within the reduction.

Definition at line 172 of file StructuredOpsUtils.cpp.

References mlir::AffineMap::get(), get(), mlir::AffineExpr::getContext(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), and mlir::AffineMap::getResult().

isBatchVecmat()

bool mlir::isBatchVecmat

(

ArrayAttr

indexingMaps

)

Tests whether the given maps describe a batch vector matrix multiplication.

The test is permutation-invariant. Note that this only checks the affine maps from an operation, so does not perform any checks on the math being performed within the reduction.

Definition at line 123 of file StructuredOpsUtils.cpp.

References mlir::AffineMap::get(), get(), mlir::AffineExpr::getContext(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), and mlir::AffineMap::getResult().

isBytecode()

bool mlir::isBytecode

(

llvm::MemoryBufferRef

buffer

)

Returns true if the given buffer starts with the magic bytes that signal MLIR bytecode.

Definition at line 2563 of file BytecodeReader.cpp.

Referenced by readBytecodeFileImpl().

isColumnMajorMatmul()

bool mlir::isColumnMajorMatmul

(

ArrayAttr

indexingMaps

)

Tests whether the given maps describe a column major matmul.

The test is permutation-invariant. Note that this only checks the affine maps from an operation, so does not perform any checks on the math being performed within the reduction.

Definition at line 46 of file StructuredOpsUtils.cpp.

References mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), and mlir::AffineMap::getResult().

isConstantIntValue()

bool mlir::isConstantIntValue	(	OpFoldResult	ofr,
		int64_t	value
	)

Return true if ofr is constant integer equal to value.

Definition at line 149 of file StaticValueUtils.cpp.

References getConstantIntValue().

Referenced by areAllConstantIntValue(), mlir::tensor::bubbleUpPadSlice(), calculateTileOffsetsAndSizes(), commonVerifierPackAndUnPackOp(), denormalizeInductionVariable(), denormalizeInductionVariableForIndexType(), generateLoopNestUsingForallOp(), getLoopBounds(), getTileOffsetAndSizes(), getUserTileSizesAndNumThreads(), normalizeForallLoopOp(), normalizeForallOp(), mlir::scf::tileAndFuseConsumerOfSlice(), and mlir::linalg::tileReductionUsingForall().

isEqualConstantIntOrValue()

bool mlir::isEqualConstantIntOrValue	(	OpFoldResult	ofr1,
		OpFoldResult	ofr2
	)

Return true if ofr1 and ofr2 are the same integer constant attribute values or the same SSA value.

Ignore integer bitwitdh and type mismatch that come from the fact there is no IndexAttr and that IndexType have no bitwidth.

Ignore integer bitwidth and type mismatch that come from the fact there is no IndexAttr and that IndexType has no bitwidth.

Definition at line 171 of file StaticValueUtils.cpp.

References getConstantIntValue().

Referenced by mlir::bufferization::Ownership::getCombined(), getSlicedDimensions(), PadOpVectorizationWithTransferWritePattern::hasSameTensorSize(), haveSameTiles(), and isEqualConstantIntOrValueArray().

isEqualConstantIntOrValueArray()

bool mlir::isEqualConstantIntOrValueArray	(	ArrayRef< OpFoldResult >	ofrs1,
		ArrayRef< OpFoldResult >	ofrs2
	)

Definition at line 180 of file StaticValueUtils.cpp.

References isEqualConstantIntOrValue().

isIdentityPermutation()

bool mlir::isIdentityPermutation

(

ArrayRef< int64_t >

permutation

)

Returns true if permutation is an identity permutation.

Definition at line 215 of file IndexingUtils.cpp.

Referenced by hasSameInnerOuterAttribute().

isLastMemrefDimUnitStride()

bool mlir::isLastMemrefDimUnitStride

(

MemRefType

type

)

Return "true" if the last dimension of the given type has a static unit stride.

Also return "true" for types with no strides.

Definition at line 961 of file BuiltinTypes.cpp.

References getStridesAndOffset().

Referenced by isContiguousXferOp(), isMemRefTypeSupported(), and trailingNDimsContiguous().

isLegalForBranchOpInterfaceTypeConversionPattern()

bool mlir::isLegalForBranchOpInterfaceTypeConversionPattern	(	Operation *	op,
		const TypeConverter &	converter
	)

Return true if op is a BranchOpInterface op whose operands are all legal according to converter.

Definition at line 143 of file FuncConversions.cpp.

References mlir::Operation::getBlock(), mlir::Block::getNumSuccessors(), and mlir::TypeConverter::isLegal().

isLegalForReturnOpTypeConversionPattern()

bool mlir::isLegalForReturnOpTypeConversionPattern	(	Operation *	op,
		const TypeConverter &	converter,
		bool	returnOpAlwaysLegal = false
	)

For ReturnLike ops (except return), return True.

If op is a return && returnOpAlwaysLegal is false, legalize op according to converter. Otherwise, return false.

Definition at line 164 of file FuncConversions.cpp.

References mlir::Operation::hasTrait(), and mlir::TypeConverter::isLegal().

isMatvec()

bool mlir::isMatvec

(

ArrayAttr

indexingMaps

)

Tests whether the given maps describe a matrix vector multiplication.

The test is permutation-invariant. Note that this only checks the affine maps from an operation, so does not perform any checks on the math being performed within the reduction.

Definition at line 148 of file StructuredOpsUtils.cpp.

References mlir::AffineMap::get(), get(), mlir::AffineExpr::getContext(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), and mlir::AffineMap::getResult().

isMemoryEffectFree()

bool mlir::isMemoryEffectFree

(

Operation *

op

)

Returns true if the given operation is free of memory effects.

An operation is free of memory effects if its implementation of MemoryEffectOpInterface indicates that it has no memory effects. For example, it may implement NoMemoryEffect in ODS. Alternatively, if the operation has the HasRecursiveMemoryEffects trait, then it is free of memory effects if all of its nested operations are free of memory effects.

If the operation has both, then it is free of memory effects if both conditions are satisfied.

Definition at line 309 of file SideEffectInterfaces.cpp.

References mlir::Operation::getRegions(), and mlir::Operation::hasTrait().

Referenced by canBeHoisted(), checkTransformationPreconditions(), hasSideEffects(), hoistOpsBetween(), mlir::affine::MemRefDependenceGraph::init(), mlir::affine::isLoopMemoryParallel(), isOpLoopInvariant(), isPure(), matchReduction(), mlir::scf::naivelyFuseParallelOps(), noAliasingUseInLoop(), replaceOpWithPredicatedOp(), mlir::dataflow::LivenessAnalysis::visitBranchOperand(), and mlir::dataflow::LivenessAnalysis::visitOperation().

isNotBranchOpInterfaceOrReturnLikeOp()

bool mlir::isNotBranchOpInterfaceOrReturnLikeOp

(

Operation *

op

)

Return true if op is neither BranchOpInterface nor ReturnLike.

TODO Try to get rid of this function and invert the meaning of isLegalForBranchOpInterfaceTypeConversionPattern and isLegalForReturnOpTypeConversionPattern.

Definition at line 177 of file FuncConversions.cpp.

References mlir::Block::back(), mlir::Operation::getBlock(), mlir::Operation::getParentOp(), and mlir::Operation::mightHaveTrait().

isOpaqueTypeWithName()

bool mlir::isOpaqueTypeWithName	(	Type	type,
		StringRef	dialect,
		StringRef	typeData
	)

Return true if the specified type is an opaque type with the specified dialect and typeData.

Definition at line 47 of file TypeUtilities.cpp.

isOpTriviallyDead()

bool mlir::isOpTriviallyDead

(

Operation *

op

)

Return true if the given operation is unused, and has no side effects on memory that prevent erasing.

Definition at line 35 of file SideEffectInterfaces.cpp.

References mlir::Operation::use_empty(), and wouldOpBeTriviallyDead().

Referenced by mlir::arm_sme::eraseTriviallyDeadTileOps().

isPermutationVector()

bool mlir::isPermutationVector

(

ArrayRef< int64_t >

interchange

)

Method to check if an interchange vector is a permutation.

Definition at line 222 of file IndexingUtils.cpp.

Referenced by commonPermutationOfPackAndUnPackOp(), mlir::tensor::computeTransposedType(), isValidPackingPermutation(), mlir::linalg::packMatmulGreedily(), mlir::linalg::packTranspose(), mlir::detail::TileOffsetRangeImpl::TileOffsetRangeImpl(), mlir::scf::tileUsingSCF(), and verifyTileSizeOptions().

isPure()

bool mlir::isPure

(

Operation *

op

)

Returns true if the given operation is pure, i.e., is speculatable that does not touch memory.

The implementation of this function replicates the def Pure : TraitList in SideEffectInterfaces.td and has to be kept in sync manually.

This function is the C++ equivalent of the Pure trait.

Definition at line 392 of file SideEffectInterfaces.cpp.

References isMemoryEffectFree(), and isSpeculatable().

Referenced by mlir::arm_sme::isTriviallyCloneableTileOp().

isRankReducedType()

SliceVerificationResult mlir::isRankReducedType	(	ShapedType	originalType,
		ShapedType	candidateReducedType
	)

Check if originalType can be rank reduced to candidateReducedType type by dropping some dimensions with static size 1.

Return SliceVerificationResult::Success on success or an appropriate error code.

Definition at line 457 of file BuiltinTypes.cpp.

References computeRankReductionMask(), ElemTypeMismatch, RankTooLarge, SizeMismatch, and Success.

Referenced by mlir::linalg::lowerPack(), and verifyInsertSliceOp().

isReassociationValid()

bool mlir::isReassociationValid	(	ArrayRef< AffineMap >	reassociation,
		int *	invalidIndex = nullptr
	)

Return true if the reassociation specification is valid, false otherwise.

When false, the invalidIndex integer pointer is optionally filled with the index of the offending reassociation map.

Definition at line 197 of file ReshapeOpsUtils.cpp.

References mlir::detail::enumerate().

Referenced by verifyReshapeLikeTypes().

isRowMajorBatchMatmul()

bool mlir::isRowMajorBatchMatmul

(

ArrayAttr

indexingMaps

)

Tests whether the given maps describe a row major batch matmul.

The test is permutation-invariant. Note that this only checks the affine maps from an operation, so does not perform any checks on the math being performed within the reduction.

Definition at line 72 of file StructuredOpsUtils.cpp.

References mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), and mlir::AffineMap::getResult().

isRowMajorMatmul()

bool mlir::isRowMajorMatmul

(

ArrayAttr

indexingMaps

)

Tests whether the given maps describe a row major matmul.

The test is permutation-invariant. Note that this only checks the affine maps from an operation, so does not perform any checks on the math being performed within the reduction.

Definition at line 20 of file StructuredOpsUtils.cpp.

References mlir::AffineMap::getNumInputs(), and mlir::AffineMap::getNumResults().

isSpeculatable()

bool mlir::isSpeculatable

(

Operation *

op

)

Returns true if the given operation is speculatable, i.e.

has no undefined behavior or other side effects.

An operation can indicate that it is speculatable by implementing the getSpeculatability hook in the ConditionallySpeculatable op interface.

Definition at line 366 of file SideEffectInterfaces.cpp.

References mlir::Operation::getRegions(), mlir::Speculation::NotSpeculatable, mlir::Speculation::RecursivelySpeculatable, and mlir::Speculation::Speculatable.

Referenced by isPure().

isStrided()

bool mlir::isStrided

(

MemRefType

t

)

Return "true" if the layout for t is compatible with strided semantics.

Definition at line 954 of file BuiltinTypes.cpp.

References getStridesAndOffset().

Referenced by mlir::affine::AffineDmaStartOp::parse(), and mlir::affine::AffineDmaStartOp::print().

isVecmat()

bool mlir::isVecmat

(

ArrayAttr

indexingMaps

)

Tests whether the given maps describe a vector matrix multiplication.

The test is permutation-invariant. Note that this only checks the affine maps from an operation, so does not perform any checks on the math being performed within the reduction.

Definition at line 99 of file StructuredOpsUtils.cpp.

References mlir::AffineMap::get(), get(), mlir::AffineExpr::getContext(), mlir::AffineMap::getNumInputs(), mlir::AffineMap::getNumResults(), and mlir::AffineMap::getResult().

isZeroIndex()

bool mlir::isZeroIndex

(

OpFoldResult

v

)

Return true if v is an IntegerAttr with value 0 of a ConstantIndexOp with attribute with value 0.

Definition at line 18 of file StaticValueUtils.cpp.

References getConstantIntValue().

Referenced by mlir::linalg::computeTileOffsets(), mlir::linalg::computeTileSizes(), generateLoopNest(), getCollapsedIndices(), mlir::linalg::rewriteInDestinationPassingStyle(), and mlir::scf::tileUsingSCF().

JitRunnerMain()

int mlir::JitRunnerMain	(	int	argc,
		char **	argv,
		const DialectRegistry &	registry,
		JitRunnerConfig	config = {}
	)

Entry point for all CPU runners.

Expects the common argc/argv arguments for standard C++ main functions. The supplied dialect registry is expected to contain any registers that appear in the input IR, they will be loaded on-demand by the parser.

Expects the common argc/argv arguments for standard C++ main functions.

Definition at line 300 of file JitRunner.cpp.

References getCommandLineOptLevel(), and options.

linearize() [1/3]

int64_t mlir::linearize	(	ArrayRef< int64_t >	offsets,
		ArrayRef< int64_t >	basis
	)

Return the linearized index of 'offsets' w.r.t.

'basis'.

basis elements are asserted to be non-negative.

Definition at line 100 of file IndexingUtils.cpp.

References linearizeImpl().

Referenced by foldExtractFromShapeCast(), linearize(), and resolveSourceIndicesExpandShape().

linearize() [2/3]

AffineExpr mlir::linearize	(	MLIRContext *	ctx,
		ArrayRef< AffineExpr >	offsets,
		ArrayRef< AffineExpr >	basis
	)

Return the linearized index of 'offsets' w.r.t.

'basis'.

Assuming offsets is [o0, .. on] and basis is [b0, .. bn], return the AffineExpr o0 * b0 + .. + on * bn.

It is the caller's responsibility to pass proper AffineExpr kind that result in valid AffineExpr (i.e. cannot multiply 2 AffineDimExpr or divide by an AffineDimExpr).

basis elements are expected to bind to non-negative values.

Definition at line 175 of file IndexingUtils.cpp.

References getAffineConstantExpr(), and linearizeImpl().

linearize() [3/3]

AffineExpr mlir::linearize	(	MLIRContext *	ctx,
		ArrayRef< AffineExpr >	offsets,
		ArrayRef< int64_t >	basis
	)

Definition at line 181 of file IndexingUtils.cpp.

References getAffineConstantExprs(), and linearize().

LLVM_DEPRECATED()

mlir::LLVM_DEPRECATED	(	"Use applyOpPatternsGreedily() instead"	,
		"applyOpPatternsGreedily"
	)

Same as applyOpPatternsGreedily with folding.

FIXME: Remove this once transition to above is complieted.

LLVM_ENABLE_BITMASK_ENUMS_IN_NAMESPACE()

mlir::LLVM_ENABLE_BITMASK_ENUMS_IN_NAMESPACE

(

)

Enable Bitmask enums for OperationEquivalence::Flags.

loopUnrollByFactor()

FailureOr< UnrolledLoopInfo > mlir::loopUnrollByFactor	(	scf::ForOp	forOp,
		uint64_t	unrollFactor,
		function_ref< void(unsigned, Operation *, OpBuilder)>	annotateFn = nullptr
	)

Unrolls this for operation by the specified unroll factor.

Unrolls 'forOp' by 'unrollFactor', returns the unrolled main loop and the eplilog loop, if the loop is unrolled.

Returns the unrolled main loop and the eplilog loop, if the loop is unrolled. Otherwise returns failure if the loop cannot be unrolled either due to restrictions or due to invalid unroll factors. Requires positive loop bounds and step. If specified, annotates the Ops in each unrolled iteration by applying annotateFn.

Definition at line 377 of file Utils.cpp.

References ceilDivPositive(), mlir::OpBuilder::clone(), mlir::OpBuilder::create(), mlir::UnrolledLoopInfo::epilogueLoopOp, generateUnrolledLoop(), getConstantIntValue(), getConstantTripCount(), mlir::Builder::getIntegerAttr(), mlir::Value::getType(), mlir::UnrolledLoopInfo::mainLoopOp, and mlir::OpBuilder::setInsertionPointAfter().

loopUnrollJamByFactor()

LogicalResult mlir::loopUnrollJamByFactor	(	scf::ForOp	forOp,
		uint64_t	unrollFactor
	)

Unrolls and jams this scf.for operation by the specified unroll factor.

Unrolls and jams this loop by the specified factor.

Returns failure if the loop cannot be unrolled either due to restrictions or due to invalid unroll factors. In case of unroll factor of 1, the function bails out without doing anything (returns success). Currently, only constant trip count that are divided by the unroll factor is supported. Currently, for operations with results are not supported.

Definition at line 515 of file Utils.cpp.

References areInnerBoundsInvariant(), mlir::OpBuilder::clone(), mlir::OpBuilder::createOrFold(), getConstantTripCount(), mlir::Builder::getIndexAttr(), LDBG, mlir::OpBuilder::setInsertionPoint(), mlir::JamBlockGatherer< OpTy >::subBlocks, mlir::Value::use_empty(), and mlir::JamBlockGatherer< OpTy >::walk().

lowerAffineLowerBound()

Value mlir::lowerAffineLowerBound	(	affine::AffineForOp	op,
		OpBuilder &	builder
	)

Emit code that computes the lower bound of the given affine loop using standard arithmetic operations.

Referenced by getOrEmitLowerBound().

lowerAffineUpperBound()

Value mlir::lowerAffineUpperBound	(	affine::AffineForOp	op,
		OpBuilder &	builder
	)

Emit code that computes the upper bound of the given affine loop using standard arithmetic operations.

Referenced by getOrEmitUpperBound().

m_AnyZeroFloat()

detail::constant_float_predicate_matcher mlir::m_AnyZeroFloat ( )

inline

Matches a constant scalar / vector splat / tensor splat float (both positive and negative) zero.

Definition at line 399 of file Matchers.h.

Referenced by isDefinedAsZero(), and isZeroValue().

m_Attr() [1/2]

detail::AttrOpMatcher mlir::m_Attr ( StringRef  attrName )

inline

Matches a named attribute operation.

Definition at line 374 of file Matchers.h.

m_Attr() [2/2]

template<typename AttrT >

detail::AttrOpBinder<AttrT> mlir::m_Attr ( StringRef  attrName, AttrT *  bindValue  )

inline

Matches a named attribute operation and writes the value to bind_value.

Definition at line 392 of file Matchers.h.

m_Constant() [1/2]

detail::constant_op_matcher mlir::m_Constant ( )

inline

Matches a constant foldable operation.

Definition at line 369 of file Matchers.h.

Referenced by mlir::LocalAliasAnalysis::aliasImpl(), canonicalizeAssociativeCommutativeBinaryOp(), canonicalizeMapOrSetAndOperands(), convertFPowIOp(), createNewAliasScopesFromNoAliasParameter(), mlir::Operation::fold(), foldDynamicIndexList(), foldLoopBounds(), getAsOpFoldResult(), mlir::shape::getShapeVec(), getSinglyExecutedRegionsToSink(), mlir::ValueShapeRange::getValueAsShape(), handleInlinedAllocas(), mlir::OperationFolder::insertKnownConstant(), integerConstants(), isDefinedOutsideOrConstant(), isLikelyAnIndexComputation(), isSplatWriteConsistentWithMaskedRead(), mlir::affine::isValidSymbol(), mlir::affine::makeComposedFoldedAffineApply(), makeComposedFoldedMinMax(), mlir::linalg::makeComposedPadHighOp(), CmpFIntToFPConst::matchAndRewrite(), MulExtendedFold< MulOp, IsSigned >::matchAndRewrite(), IAddCarryFold::matchAndRewrite(), UModSimplification::matchAndRewrite(), TransposeIsReshape::matchAndRewrite(), mlir::LLVM::ModuleImport::matchFloatAttr(), mlir::LLVM::ModuleImport::matchIntegerAttr(), materializeConstant(), movePaddingToFillOrGenericOp(), mlir::OperationFolder::notifyRemoval(), remainsLegalAfterInline(), mlir::OpBuilder::tryFold(), tryFoldTensors(), and vectorizePackOpPrecondition().

m_Constant() [2/2]

template<typename AttrT >

detail::constant_op_binder<AttrT> mlir::m_Constant ( AttrT *  bind_value )

inline

Matches a value from a constant foldable operation and writes the value to bind_value.

Definition at line 386 of file Matchers.h.

m_ConstantFloat()

detail::constant_float_value_binder mlir::m_ConstantFloat ( FloatAttr::ValueType *  bind_value )

inline

Matches a constant holding a scalar/vector/tensor float (splat) and writes the float value to bind_value.

Definition at line 520 of file Matchers.h.

m_ConstantInt()

detail::constant_int_value_binder mlir::m_ConstantInt ( IntegerAttr::ValueType *  bind_value )

inline

Matches a constant holding a scalar/vector/tensor integer (splat) and writes the integer value to bind_value.

Definition at line 527 of file Matchers.h.

Referenced by allocateSubviewGPUMemoryInAddressSpace(), mlir::linalg::collapseOpIterationDims(), convertFPowIOp(), destructureIndices(), getConstantIntValue(), getConstantIntValue(), getConstantUint32(), getIntOrSplatIntValue(), getKnownLaunchDim(), maybeConstantDimsAttr(), and simplifyConstSwitchValue().

m_IntRangeWithoutNegOneS()

detail::constant_int_range_predicate_matcher mlir::m_IntRangeWithoutNegOneS ( )

inline

Matches a constant scalar / vector splat / tensor splat integer or a signed integer range that does not contain minus one.

Note that this matcher interprets the target value as a signed integer.

Definition at line 471 of file Matchers.h.

Referenced by getDivSISpeculatability().

m_IntRangeWithoutZeroS()

detail::constant_int_range_predicate_matcher mlir::m_IntRangeWithoutZeroS ( )

inline

Matches a constant scalar / vector splat / tensor splat integer or a signed integer range that does not contain zero.

Note that this matcher interprets the target value as a signed integer.

Definition at line 462 of file Matchers.h.

Referenced by getDivSISpeculatability().

m_IntRangeWithoutZeroU()

detail::constant_int_range_predicate_matcher mlir::m_IntRangeWithoutZeroU ( )

inline

Matches a constant scalar / vector splat / tensor splat integer or a unsigned integer range that does not contain zero.

Note that this matcher interprets the target value as an unsigned integer.

Definition at line 455 of file Matchers.h.

Referenced by getDivUISpeculatability().

m_NaNFloat()

detail::constant_float_predicate_matcher mlir::m_NaNFloat ( )

inline

Matches a constant scalar / vector splat / tensor splat float ones.

Definition at line 421 of file Matchers.h.

m_NegInfFloat()

detail::constant_float_predicate_matcher mlir::m_NegInfFloat ( )

inline

Matches a constant scalar / vector splat / tensor splat float negative infinity.

Definition at line 435 of file Matchers.h.

m_NegZeroFloat()

detail::constant_float_predicate_matcher mlir::m_NegZeroFloat ( )

inline

Matches a constant scalar / vector splat / tensor splat float negative zero.

Definition at line 409 of file Matchers.h.

m_NonZero()

detail::constant_int_predicate_matcher mlir::m_NonZero ( )

inline

Matches a constant scalar / vector splat / tensor splat integer that is any non-zero value.

Definition at line 448 of file Matchers.h.

m_One()

detail::constant_int_predicate_matcher mlir::m_One ( )

inline

Matches a constant scalar / vector splat / tensor splat integer one.

Definition at line 478 of file Matchers.h.

Referenced by SelectToExtUI::matchAndRewrite(), FoldLaunchArguments::matchAndRewrite(), and UMulExtendedOpXOne::matchAndRewrite().

m_OneFloat()

detail::constant_float_predicate_matcher mlir::m_OneFloat ( )

inline

Matches a constant scalar / vector splat / tensor splat float ones.

Definition at line 414 of file Matchers.h.

m_Op() [1/3]

template<typename OpClass >

detail::op_matcher<OpClass> mlir::m_Op ( )

inline

Matches the given OpClass.

Definition at line 484 of file Matchers.h.

m_Op() [2/3]

template<typename OpType , typename... Matchers>

auto mlir::m_Op

(

Matchers...

matchers

)

Definition at line 532 of file Matchers.h.

m_Op() [3/3]

detail::NameOpMatcher mlir::m_Op ( StringRef  opName )

inline

Matches a named operation.

Definition at line 379 of file Matchers.h.

m_PosInfFloat()

detail::constant_float_predicate_matcher mlir::m_PosInfFloat ( )

inline

Matches a constant scalar / vector splat / tensor splat float positive infinity.

Definition at line 427 of file Matchers.h.

m_PosZeroFloat()

detail::constant_float_predicate_matcher mlir::m_PosZeroFloat ( )

inline

Matches a constant scalar / vector splat / tensor splat float positive zero.

Definition at line 404 of file Matchers.h.

m_Zero()

detail::constant_int_predicate_matcher mlir::m_Zero ( )

inline

Matches a constant scalar / vector splat / tensor splat integer zero.

Definition at line 442 of file Matchers.h.

Referenced by isDefinedAsZero(), isZeroValue(), SelectToExtUI::matchAndRewrite(), MulExtendedFold< MulOp, IsSigned >::matchAndRewrite(), and IAddCarryFold::matchAndRewrite().

makeCanonicalStridedLayoutExpr() [1/2]

AffineExpr mlir::makeCanonicalStridedLayoutExpr	(	ArrayRef< int64_t >	sizes,
		ArrayRef< AffineExpr >	exprs,
		MLIRContext *	context
	)

Given MemRef sizes that are either static or dynamic, returns the canonical "contiguous" strides AffineExpr.

Strides are multiplicative and once a dynamic dimension is encountered, all canonical strides become dynamic and need to be encoded with a different symbol. For canonical strides expressions, the offset is always 0 and the fastest varying stride is always 1.

Examples:

• memref<3x4x5xf32> has canonical stride expression 20*exprs[0] + 5*exprs[1] + exprs[2].
• memref<3x?x5xf32> has canonical stride expression s0*exprs[0] + 5*exprs[1] + exprs[2].
• memref<3x4x?xf32> has canonical stride expression s1*exprs[0] + s0*exprs[1] + exprs[2].

Definition at line 913 of file BuiltinTypes.cpp.

References getAffineConstantExpr(), getAffineSymbolExpr(), mlir::AffineMap::inferFromExprList(), and simplifyAffineExpr().

Referenced by makeCanonicalStridedLayoutExpr().

makeCanonicalStridedLayoutExpr() [2/2]

AffineExpr mlir::makeCanonicalStridedLayoutExpr	(	ArrayRef< int64_t >	sizes,
		MLIRContext *	context
	)

Return the result of makeCanonicalStrudedLayoutExpr for the common case where exprs is {d0, d1, .., d_(sizes.size()-1)}.

Definition at line 945 of file BuiltinTypes.cpp.

References getAffineDimExpr(), and makeCanonicalStridedLayoutExpr().

makeOptimizingTransformer()

std::function<llvm::Error(llvm::Module *)> mlir::makeOptimizingTransformer	(	unsigned	optLevel,
		unsigned	sizeLevel,
		llvm::TargetMachine *	targetMachine
	)

Create a module transformer function for MLIR ExecutionEngine that runs LLVM IR passes corresponding to the given speed and size optimization levels (e.g.

-O2 or -Os). If not null, targetMachine is used to initialize passes that provide target-specific information to the LLVM optimizer. targetMachine must outlive the returned std::function.

Referenced by mlirExecutionEngineCreate(), and mlir::LLVM::ModuleToObject::optimizeModule().

makeRegionIsolatedFromAbove()

SmallVector< Value > mlir::makeRegionIsolatedFromAbove	(	RewriterBase &	rewriter,
		Region &	region,
		llvm::function_ref< bool(Operation *)>	cloneOperationIntoRegion = [](Operation *) { return false; }
	)

Make a region isolated from above.

• Capture the values that are defined above the region and used within it.
• Append to the entry block arguments that represent the captured values (one per captured value).
• Replace all uses within the region of the captured values with the newly added arguments.
• cloneOperationIntoRegion is a callback that allows caller to specify if the operation defining an OpOperand needs to be cloned into the region. Then the operands of this operation become part of the captured values set (unless the operations that define the operands themeselves are to be cloned). The cloned operations are added to the entry block of the region. Return the set of captured values for the operation.

Definition at line 84 of file RegionUtils.cpp.

References mlir::Region::begin(), mlir::OpBuilder::clone(), computeTopologicalSorting(), mlir::OpBuilder::createBlock(), mlir::Region::front(), mlir::Block::getArguments(), mlir::Block::getArgumentTypes(), mlir::Value::getDefiningOp(), mlir::Block::getNumArguments(), mlir::Operation::getOperands(), mlir::Operation::getResults(), getUsedValuesDefinedAbove(), mlir::IRMapping::map(), mlir::RewriterBase::mergeBlocks(), mlir::RewriterBase::replaceOpUsesWithIf(), mlir::RewriterBase::replaceUsesWithIf(), and mlir::OpBuilder::setInsertionPointToStart().

makeReproducer()

std::string mlir::makeReproducer	(	StringRef	anchorName,
		const llvm::iterator_range< OpPassManager::pass_iterator > &	passes,
		Operation *	op,
		StringRef	outputFile,
		bool	disableThreads = false,
		bool	verifyPasses = false
	)

Definition at line 448 of file PassCrashRecovery.cpp.

References appendReproducer(), makeReproducerStreamFactory(), and printAsTextualPipeline().

Referenced by performActions().

makeStridedLinearLayoutMap()

AffineMap mlir::makeStridedLinearLayoutMap	(	ArrayRef< int64_t >	strides,
		int64_t	offset,
		MLIRContext *	context
	)

Given a list of strides (in which ShapedType::kDynamic represents a dynamic value), return the single result AffineMap which represents the linearized strided layout map.

Dimensions correspond to the offset followed by the strides in order. Symbols are inserted for each dynamic dimension in order. A stride is always positive.

Examples:

1. For offset: 0 strides: ?, ?, 1 return (i, j, k)[M, N]->(M * i + N * j + k)
2. For offset: 3 strides: 32, ?, 16 return (i, j, k)[M]->(3 + 32 * i + M * j + 16 * k)
3. For offset: ? strides: ?, ?, ? return (i, j, k)[off, M, N, P]->(off + M * i + N * j + P * k)

Definition at line 1800 of file BuiltinAttributes.cpp.

References mlir::detail::enumerate(), mlir::AffineMap::get(), getAffineConstantExpr(), getAffineDimExpr(), and getAffineSymbolExpr().

matchConstantIndex()

detail::op_matcher< arith::ConstantIndexOp > mlir::matchConstantIndex

(

)

Matches a ConstantIndexOp.

TODO: This should probably just be a general matcher that uses matchConstant and checks the operation for an index type.

Definition at line 87 of file Utils.cpp.

matchPattern() [1/3]

template<typename Pattern >

bool mlir::matchPattern ( Attribute  attr, const Pattern &  pattern  )

inline

Entry point for matching a pattern over an Attribute.

Returns false when attr is null.

Definition at line 508 of file Matchers.h.

matchPattern() [2/3]

template<typename Pattern >

bool mlir::matchPattern ( Operation *  op, const Pattern &  pattern  )

inline

Entry point for matching a pattern over an Operation.

Definition at line 500 of file Matchers.h.

matchPattern() [3/3]

template<typename Pattern >

bool mlir::matchPattern ( Value  value, const Pattern &  pattern  )

inline

Entry point for matching a pattern over a Value.

Definition at line 490 of file Matchers.h.

References mlir::Value::getDefiningOp().

Referenced by mlir::LocalAliasAnalysis::aliasImpl(), allocateSubviewGPUMemoryInAddressSpace(), canonicalizeAssociativeCommutativeBinaryOp(), canonicalizeMapOrSetAndOperands(), mlir::linalg::collapseOpIterationDims(), convertFPowIOp(), createNewAliasScopesFromNoAliasParameter(), destructureIndices(), mlir::Operation::fold(), foldDynamicIndexList(), foldLoopBounds(), getAsOpFoldResult(), getAttributeIndexFromIndexOperands(), getConstantIntValue(), getConstantIntValue(), getConstantUint32(), getDivSISpeculatability(), getDivUISpeculatability(), getIntOrSplatIntValue(), getKnownLaunchDim(), mlir::shape::getShapeVec(), getSinglyExecutedRegionsToSink(), mlir::ValueShapeRange::getValueAsShape(), handleInlinedAllocas(), mlir::OperationFolder::insertKnownConstant(), integerConstants(), isDefinedAsZero(), isDefinedOutsideOrConstant(), isLikelyAnIndexComputation(), isSplatWriteConsistentWithMaskedRead(), mlir::affine::isValidSymbol(), isZeroValue(), mlir::affine::makeComposedFoldedAffineApply(), makeComposedFoldedMinMax(), mlir::linalg::makeComposedPadHighOp(), SelectToExtUI::matchAndRewrite(), CmpFIntToFPConst::matchAndRewrite(), FoldLaunchArguments::matchAndRewrite(), MulExtendedFold< MulOp, IsSigned >::matchAndRewrite(), IAddCarryFold::matchAndRewrite(), UModSimplification::matchAndRewrite(), UMulExtendedOpXOne::matchAndRewrite(), TransposeIsReshape::matchAndRewrite(), mlir::LLVM::ModuleImport::matchFloatAttr(), mlir::LLVM::ModuleImport::matchIntegerAttr(), materializeConstant(), maybeConstantDimsAttr(), movePaddingToFillOrGenericOp(), mlir::OperationFolder::notifyRemoval(), remainsLegalAfterInline(), simplifyConstSwitchValue(), mlir::OpBuilder::tryFold(), tryFoldTensors(), and vectorizePackOpPrecondition().

matchReduction()

Value mlir::matchReduction	(	ArrayRef< BlockArgument >	iterCarriedArgs,
		unsigned	redPos,
		SmallVectorImpl< Operation * > &	combinerOps
	)

Utility to match a generic reduction given a list of iteration-carried arguments, iterCarriedArgs and the position of the potential reduction argument within the list, redPos.

If a reduction is matched, returns the reduced value and the topologically-sorted list of combiner operations involved in the reduction. Otherwise, returns a null value.

The matching algorithm relies on the following invariants, which are subject to change:

1. The first combiner operation must be a binary operation with the iteration-carried value and the reduced value as operands.
2. The iteration-carried value and combiner operations must be side effect-free, have single result and a single use.
3. Combiner operations must be immediately nested in the region op performing the reduction.
4. Reduction def-use chain must end in a terminator op that yields the next iteration/output values in the same order as the iteration-carried values in iterCarriedArgs.
5. iterCarriedArgs must contain all the iteration-carried/output values of the region op performing the reduction.

This utility is generic enough to detect reductions involving multiple combiner operations (disabled for now) across multiple dialects, including Linalg, Affine and SCF. For the sake of genericity, it does not return specific enum values for the combiner operations since its goal is also matching reductions without pre-defined semantics in core MLIR. It's up to each client to make sense out of the list of combiner operations. It's also up to each client to check for additional invariants on the expected reductions not covered by this generic matching.

Definition at line 241 of file SliceAnalysis.cpp.

References dependsOnCarriedVals(), mlir::Operation::getNumOperands(), mlir::Operation::getNumResults(), mlir::Operation::getOperand(), mlir::Operation::getParentOp(), mlir::Operation::getUsers(), mlir::Value::getUsers(), mlir::Operation::hasOneUse(), mlir::Value::hasOneUse(), isMemoryEffectFree(), and mlir::Operation::mightHaveTrait().

Referenced by mlir::linalg::getCombinerOp(), getSupportedReduction(), matchLinalgReduction(), matchSimpleReduction(), mlir::linalg::splitReduction(), and mlir::linalg::splitReductionByScaling().

mayBeGraphRegion()

bool mlir::mayBeGraphRegion

(

Region &

region

)

Return "true" if the given region may be a graph region without SSA dominance.

This function returns "true" in case the owner op is an unregistered op. It returns "false" if it is a registered op that does not implement the RegionKindInterface.

Definition at line 27 of file RegionKindInterface.cpp.

References mlir::Region::getParentOp(), mlir::Region::getRegionNumber(), and mlir::Operation::isRegistered().

mayHaveSSADominance()

bool mlir::mayHaveSSADominance

(

Region &

region

)

Return "true" if the given region may have SSA dominance.

This function also returns "true" in case the owner op is an unregistered op or an op that does not implement the RegionKindInterface.

Definition at line 20 of file RegionKindInterface.cpp.

References mlir::Region::getParentOp(), and mlir::Region::getRegionNumber().

Referenced by mlir::ForwardDominanceIterator< NoGraphRegions >::makeIterable(), and mlir::ReverseDominanceIterator< NoGraphRegions >::makeIterable().

MlirLspServerMain()

LogicalResult mlir::MlirLspServerMain	(	int	argc,
		char **	argv,
		DialectRegistry &	registry
	)

Implementation for tools like mlir-lsp-server.

• registry should contain all the dialects that can be parsed in source IR passed to the server.

Definition at line 21 of file MlirLspServerMain.cpp.

References mlir::lsp::Logger::Debug, mlir::lsp::Delimited, mlir::lsp::Logger::Error, mlir::lsp::Logger::Info, mlir::lsp::URIForFile::registerSupportedScheme(), mlir::lsp::runMlirLSPServer(), mlir::lsp::Logger::setLogLevel(), and mlir::lsp::Standard.

MlirOptMain() [1/3]

LogicalResult mlir::MlirOptMain	(	int	argc,
		char **	argv,
		llvm::StringRef	inputFilename,
		llvm::StringRef	outputFilename,
		DialectRegistry &	registry
	)

Implementation for tools like mlir-opt.

This function can be used with registerAndParseCLIOptions so that CLI options can be accessed before running MlirOptMain.

• inputFilename is the name of the input mlir file.
• outputFilename is the name of the output file.
• registry should contain all the dialects that can be parsed in the source.

Definition at line 633 of file MlirOptMain.cpp.

References config, mlir::MlirOptMainConfig::createFromCLOptions(), MlirOptMain(), openInputFile(), openOutputFile(), printRegisteredDialects(), and printRegisteredPassesAndReturn().

MlirOptMain() [2/3]

LogicalResult mlir::MlirOptMain	(	int	argc,
		char **	argv,
		llvm::StringRef	toolName,
		DialectRegistry &	registry
	)

Implementation for tools like mlir-opt.

• toolName is used for the header displayed by --help.
• registry should contain all the dialects that can be parsed in the source.

Definition at line 677 of file MlirOptMain.cpp.

References MlirOptMain(), and registerAndParseCLIOptions().

MlirOptMain() [3/3]

LogicalResult mlir::MlirOptMain	(	llvm::raw_ostream &	outputStream,
		std::unique_ptr< llvm::MemoryBuffer >	buffer,
		DialectRegistry &	registry,
		const MlirOptMainConfig &	config
	)

Perform the core processing behind mlir-opt.

• outputStream is the stream where the resulting IR is printed.
• buffer is the in-memory file to parser and process.
• registry should contain all the dialects that can be parsed in the source.
• config contains the configuration options for the tool.

Definition at line 599 of file MlirOptMain.cpp.

References config, printRegisteredDialects(), and printRegisteredPassesAndReturn().

Referenced by MlirOptMain().

MlirPdllLspServerMain()

LogicalResult mlir::MlirPdllLspServerMain	(	int	argc,
		char **	argv
	)

Implementation for tools like mlir-pdll-lsp-server.

Definition at line 20 of file MlirPdllLspServerMain.cpp.

References mlir::lsp::Logger::Debug, mlir::lsp::Delimited, mlir::lsp::Logger::Error, mlir::lsp::Logger::Info, options, mlir::lsp::runPdllLSPServer(), mlir::lsp::Logger::setLogLevel(), and mlir::lsp::Standard.

mlirQueryMain()

llvm::LogicalResult mlir::mlirQueryMain	(	int	argc,
		char **	argv,
		MLIRContext &	context,
		const mlir::query::matcher::Registry &	matcherRegistry
	)

Definition at line 31 of file MlirQueryMain.cpp.

References mlir::MLIRContext::allowUnregisteredDialects(), mlir::query::complete(), mlir::OwningOpRef< OpTy >::get(), openInputFile(), mlir::query::parse(), parseSourceFile(), and mlir::query::QuerySession::terminate.

mlirReduceMain()

LogicalResult mlir::mlirReduceMain	(	int	argc,
		char **	argv,
		MLIRContext &	context
	)

Definition at line 48 of file MlirReduceMain.cpp.

References mlir::PassPipelineCLParser::addToPipeline(), emitError(), mlir::OwningOpRef< OpTy >::get(), get(), loadModule(), openOutputFile(), and mlir::PassManager::run().

MlirTblgenMain()

int mlir::MlirTblgenMain	(	int	argc,
		char **	argv
	)

Main Program for tools like 'mlir-tblgen' with custom backends.

To add a new backend, simply create a new 'mlir::GenRegistration' global variable. See its documentation for more info.

The 'argc' and 'argv' arguments are simply forwarded from a main function. The return value is the exit code from llvm::TableGenMain.

Definition at line 140 of file MlirTblgenMain.cpp.

References actionOnDeprecatedValue, Error, generator, mlirTableGenMain(), None, and Warn.

mlirTranslateMain()

LogicalResult mlir::mlirTranslateMain	(	int	argc,
		char **	argv,
		StringRef	toolName
	)

Translate to/from an MLIR module from/to an external representation (e.g.

LLVM IR, SPIRV binary, ...). This is the entry point for the implementation of tools like mlir-translate. The translation to perform is parsed from the command line. The toolName argument is used for the header displayed by --help.

moveLoopInvariantCode() [1/2]

size_t mlir::moveLoopInvariantCode	(	ArrayRef< Region * >	regions,
		function_ref< bool(Value, Region *)>	isDefinedOutsideRegion,
		function_ref< bool(Operation *, Region *)>	shouldMoveOutOfRegion,
		function_ref< void(Operation *, Region *)>	moveOutOfRegion
	)

Given a list of regions, perform loop-invariant code motion.

An operation is loop-invariant if it depends only of values defined outside of the loop. LICM moves these operations out of the loop body so that they are not computed more than once.

Example:

affine.for %arg0 = 0 to 10 {
  affine.for %arg1 = 0 to 10 {
    %v0 = arith.addi %arg0, %arg0 : i32
    %v1 = arith.addi %v0, %arg1 : i32
  }
}

After LICM:

affine.for %arg0 = 0 to 10 {
  %v0 = arith.addi %arg0, %arg0 : i32
  affine.for %arg1 = 0 to 10 {
    %v1 = arith.addi %v0, %arg1 : i32
  }
}

Users must supply three callbacks.

• isDefinedOutsideRegion returns true if the given value is invariant with respect to the given region. A common implementation might be: value.getParentRegion()->isProperAncestor(region).
• shouldMoveOutOfRegion returns true if the provided operation can be moved of the given region, e.g. if it is side-effect free.
• moveOutOfRegion moves the operation out of the given region. A common implementation might be: op->moveBefore(region->getParentOp()).

An operation is moved if all of its operands satisfy isDefinedOutsideRegion and it satisfies shouldMoveOutOfRegion.

Returns the number of operations moved.

Definition at line 59 of file LoopInvariantCodeMotionUtils.cpp.

References canBeHoisted(), mlir::Operation::getParentRegion(), and mlir::Operation::getUsers().

Referenced by mlir::linalg::hoistRedundantVectorBroadcasts(), mlir::linalg::hoistRedundantVectorTransfers(), and moveLoopInvariantCode().

moveLoopInvariantCode() [2/2]

size_t mlir::moveLoopInvariantCode

(

LoopLikeOpInterface

loopLike

)

Move side-effect free loop invariant code out of a loop-like op using methods provided by the interface.

Definition at line 106 of file LoopInvariantCodeMotionUtils.cpp.

References moveLoopInvariantCode().

normalizeForallOp()

FailureOr< scf::ForallOp > mlir::normalizeForallOp	(	RewriterBase &	rewriter,
		scf::ForallOp	forallOp
	)

Normalize an scf.forall operation.

Returns failure()if normalization fails. newly created operation with all uses of the original operation replaced with results of the new operation.

Definition at line 1466 of file Utils.cpp.

References mlir::OpBuilder::create(), emitNormalizedLoopBounds(), mlir::RewriterBase::inlineRegionBefore(), isConstantIntValue(), mlir::Range::offset, mlir::RewriterBase::replaceAllOpUsesWith(), mlir::Range::size, and mlir::Range::stride.

openInputFile() [1/2]

std::unique_ptr< llvm::MemoryBuffer > mlir::openInputFile	(	llvm::StringRef	inputFilename,
		llvm::Align	alignment,
		std::string *	errorMessage = nullptr
	)

Open the file specified by its name for reading, with the given buffer alignment constraint.

Write the error message to errorMessage if errors occur and errorMessage is not nullptr.

Definition at line 43 of file FileUtilities.cpp.

References openInputFileImpl().

openInputFile() [2/2]

std::unique_ptr<llvm::MemoryBuffer> mlir::openInputFile	(	llvm::StringRef	inputFilename,
		std::string *	errorMessage = nullptr
	)

Open the file specified by its name for reading.

Write the error message to errorMessage if errors occur and errorMessage is not nullptr.

Referenced by loadIRDLDialects(), loadModule(), MlirOptMain(), mlirQueryMain(), parseMLIRInput(), and mlir::transform::detail::parseTransformModuleFromFile().

openOutputFile()

std::unique_ptr<llvm::ToolOutputFile> mlir::openOutputFile	(	llvm::StringRef	outputFilename,
		std::string *	errorMessage = nullptr
	)

Open the file specified by its name for writing.

Write the error message to errorMessage if errors occur and errorMessage is not nullptr.

Referenced by createTreePrinterOutputPath(), mlir::SimpleObjectCache::dumpToObjectFile(), generateLocationsFromIR(), mlir::tracing::InstallDebugHandler::Impl::Impl(), makeReproducerStreamFactory(), MlirOptMain(), and mlirReduceMain().

operator!=() [1/6]

bool mlir::operator!= ( OpState  lhs, OpState  rhs  )

inline

Definition at line 261 of file OpDefinition.h.

References mlir::OpState::getOperation().

operator!=() [2/6]

bool mlir::operator!= ( RegionBranchPoint  lhs, RegionBranchPoint  rhs  )

inline

Definition at line 251 of file ControlFlowInterfaces.h.

operator!=() [3/6]

bool mlir::operator!= ( StringAttr  lhs, std::nullptr_t    )

inline

Definition at line 1058 of file BuiltinAttributes.h.

operator!=() [4/6]

bool mlir::operator!= ( StringAttr  lhs, StringAttr  rhs  )

inline

Definition at line 1064 of file BuiltinAttributes.h.

operator!=() [5/6]

bool mlir::operator!= ( StringAttr  lhs, StringRef  rhs  )

inline

Definition at line 1070 of file BuiltinAttributes.h.

operator!=() [6/6]

bool mlir::operator!= ( StringRef  lhs, StringAttr  rhs  )

inline

Definition at line 1074 of file BuiltinAttributes.h.

operator&()

ChangeResult mlir::operator& ( ChangeResult  lhs, ChangeResult  rhs  )

inline

Definition at line 47 of file DataFlowFramework.h.

References NoChange.

operator*()

AffineExpr mlir::operator* ( int64_t  val, AffineExpr  expr  )

inline

Definition at line 265 of file AffineExpr.h.

operator+()

AffineExpr mlir::operator+ ( int64_t  val, AffineExpr  expr  )

inline

Definition at line 264 of file AffineExpr.h.

operator-()

AffineExpr mlir::operator- ( int64_t  val, AffineExpr  expr  )

inline

Definition at line 266 of file AffineExpr.h.

operator<<() [1/38]

template<typename AsmPrinterT , typename ElementT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, ArrayRef< ElementT >  types  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [2/38]

template<typename AsmPrinterT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, Attribute  attr  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [3/38]

template<typename AsmPrinterT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, bool  value  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [4/38]

template<typename AsmPrinterT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, const APFloat &  value  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [5/38]

template<typename AsmPrinterT , typename T , std::enable_if_t<!std::is_convertible< T &, Value & >::value &&!std::is_convertible< T &, Type & >::value &&!std::is_convertible< T &, Attribute & >::value &&!std::is_convertible< T &, ValueRange >::value &&!std::is_convertible< T &, APFloat & >::value &&!llvm::is_one_of< T, bool, float, double >::value, T > * = nullptr>

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, const T &  other  )

inlinedelete

Definition at line 96 of file OpImplementation.h.

operator<<() [6/38]

template<typename AsmPrinterT , typename T >

std::enable_if_t<std::is_same<AsmPrinter, AsmPrinterT>::value && std::is_convertible<T &, ValueRange>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, const T &  other  )

inlinedelete

Definition at line 96 of file OpImplementation.h.

operator<<() [7/38]

template<typename AsmPrinterT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, const TypeRange &  types  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [8/38]

template<typename AsmPrinterT , typename ValueRangeT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, const ValueTypeRange< ValueRangeT > &  types  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [9/38]

template<typename AsmPrinterT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, double  value  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [10/38]

template<typename AsmPrinterT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, float  value  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [11/38]

template<typename AsmPrinterT >

std::enable_if_t<std::is_base_of<AsmPrinter, AsmPrinterT>::value, AsmPrinterT &> mlir::operator<< ( AsmPrinterT &  p, Type  type  )

inline

Definition at line 96 of file OpImplementation.h.

operator<<() [12/38]

OpAsmPrinter& mlir::operator<< ( OpAsmPrinter &  p, Block *  value  )

inline

Definition at line 534 of file OpImplementation.h.

References mlir::OpAsmPrinter::printSuccessor().

operator<<() [13/38]

template<typename T , std::enable_if_t< std::is_convertible< T &, ValueRange >::value &&!std::is_convertible< T &, Value & >::value, T > * = nullptr>

OpAsmPrinter& mlir::operator<< ( OpAsmPrinter &  p, const T &  values  )

inline

Definition at line 529 of file OpImplementation.h.

References mlir::OpAsmPrinter::printOperands().

operator<<() [14/38]

OpAsmPrinter& mlir::operator<< ( OpAsmPrinter &  p, Value  value  )

inline

Definition at line 520 of file OpImplementation.h.

References mlir::OpAsmPrinter::printOperand().

operator<<() [15/38]

raw_ostream & mlir::operator<<	(	raw_ostream &	os,
		Block &	block
	)

Definition at line 4061 of file AsmPrinter.cpp.

References mlir::Block::print().

operator<<() [16/38]

raw_ostream & mlir::operator<<	(	raw_ostream &	os,
		const ConstantIntRanges &	range
	)

Definition at line 127 of file InferIntRangeInterface.cpp.

References mlir::ConstantIntRanges::smax(), mlir::ConstantIntRanges::smin(), mlir::ConstantIntRanges::umax(), and mlir::ConstantIntRanges::umin().

operator<<() [17/38]

raw_ostream & mlir::operator<<	(	raw_ostream &	os,
		const IntegerValueRange &	range
	)

Definition at line 144 of file InferIntRangeInterface.cpp.

References mlir::IntegerValueRange::print().

operator<<() [18/38]

raw_ostream & mlir::operator<<	(	raw_ostream &	os,
		AffineExpr	expr
	)

Definition at line 1038 of file AffineExpr.cpp.

References mlir::AffineExpr::print().

operator<<() [19/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, AffineMap  map  )

inline

Definition at line 664 of file AffineMap.h.

References mlir::AffineMap::print().

operator<<() [20/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, Attribute  attr  )

inline

Definition at line 168 of file Attributes.h.

References mlir::Attribute::print().

operator<<() [21/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const AliasResult &  result  )

inline

Definition at line 78 of file AliasAnalysis.h.

References mlir::AliasResult::print().

operator<<() [22/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const AnalysisState &  state  )

inline

Definition at line 649 of file DataFlowFramework.h.

operator<<() [23/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const Diagnostic &  diag  )

inline

Definition at line 302 of file Diagnostics.h.

References diag().

operator<<() [24/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const DiagnosticArgument &  arg  )

inline

Definition at line 143 of file Diagnostics.h.

References mlir::DiagnosticArgument::print().

operator<<() [25/38]

raw_ostream& mlir::operator<<	(	raw_ostream &	os,
		const IRUnit &	unit
	)

operator<<() [26/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const Location &  loc  )

inline

Definition at line 123 of file Location.h.

References mlir::Location::print().

operator<<() [27/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const ModRefResult &  result  )

inline

Definition at line 165 of file AliasAnalysis.h.

References mlir::ModRefResult::print().

operator<<() [28/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const Operation &  op  )

inline

Definition at line 1101 of file Operation.h.

References print(), and mlir::OpPrintingFlags::useLocalScope().

operator<<() [29/38]

raw_ostream & mlir::operator<<	(	raw_ostream &	os,
		const Range &	range
	)

Definition at line 3026 of file MemRefOps.cpp.

References mlir::Range::offset, mlir::Range::size, and mlir::Range::stride.

operator<<() [30/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, const TypeRange &  types  )

inline

Emit a type range to the given output stream.

Definition at line 77 of file TypeRange.h.

operator<<() [31/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, LatticeAnchor  anchor  )

inline

Definition at line 654 of file DataFlowFramework.h.

References mlir::LatticeAnchor::print().

operator<<() [32/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, OperationName  info  )

inline

Definition at line 509 of file OperationSupport.h.

References mlir::OperationName::print().

operator<<() [33/38]

raw_ostream & mlir::operator<< ( raw_ostream &  os, OpFoldResult  ofr  )

inline

Allow printing to a stream.

Definition at line 302 of file OpDefinition.h.

operator<<() [34/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, OpState  op  )

inline

Allow printing to a stream.

Definition at line 310 of file OpDefinition.h.

References mlir::OpState::print().

operator<<() [35/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, ProgramPoint  point  )

inline

Definition at line 149 of file DataFlowFramework.h.

References mlir::ProgramPoint::print().

operator<<() [36/38]

raw_ostream & mlir::operator<<	(	raw_ostream &	os,
		SymbolTable::Visibility	visibility
	)

Definition at line 466 of file SymbolTable.cpp.

References mlir::SymbolTable::Nested, mlir::SymbolTable::Private, and mlir::SymbolTable::Public.

operator<<() [37/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, Type  type  )

inline

Definition at line 261 of file Types.h.

References mlir::Type::print().

operator<<() [38/38]

raw_ostream& mlir::operator<< ( raw_ostream &  os, Value  value  )

inline

Definition at line 256 of file Value.h.

References mlir::Value::print().

operator==() [1/6]

template<typename RangeT >

bool mlir::operator== ( ArrayRef< Type >  lhs, const ValueTypeRange< RangeT > &  rhs  )

inline

Definition at line 163 of file TypeRange.h.

operator==() [2/6]

bool mlir::operator== ( OpState  lhs, OpState  rhs  )

inline

Definition at line 258 of file OpDefinition.h.

References mlir::OpState::getOperation().

operator==() [3/6]

bool mlir::operator== ( StringAttr  lhs, std::nullptr_t    )

inline

Define comparisons for StringAttr against nullptr and itself to avoid the StringRef overloads from being chosen when not desirable.

Definition at line 1057 of file BuiltinAttributes.h.

Referenced by mlir::ValueBoundsConstraintSet::BoundBuilder::operator==().

operator==() [4/6]

bool mlir::operator== ( StringAttr  lhs, StringAttr  rhs  )

inline

Definition at line 1061 of file BuiltinAttributes.h.

operator==() [5/6]

bool mlir::operator== ( StringAttr  lhs, StringRef  rhs  )

inline

Allow direct comparison with StringRef.

Definition at line 1067 of file BuiltinAttributes.h.

operator==() [6/6]

bool mlir::operator== ( StringRef  lhs, StringAttr  rhs  )

inline

Definition at line 1071 of file BuiltinAttributes.h.

operator|()

ChangeResult mlir::operator| ( ChangeResult  lhs, ChangeResult  rhs  )

inline

Definition at line 40 of file DataFlowFramework.h.

References Change.

operator|=()

ChangeResult& mlir::operator|= ( ChangeResult &  lhs, ChangeResult  rhs  )

inline

Definition at line 43 of file DataFlowFramework.h.

outlineIfOp()

LogicalResult mlir::outlineIfOp	(	RewriterBase &	b,
		scf::IfOp	ifOp,
		func::FuncOp *	thenFn,
		StringRef	thenFnName,
		func::FuncOp *	elseFn,
		StringRef	elseFnName
	)

Outline the then and/or else regions of ifOp as follows:

• if thenFn is not null, thenFnName must be specified and the then region is inlined into a new FuncOp that is captured by the pointer.
• if elseFn is not null, elseFnName must be specified and the else region is inlined into a new FuncOp that is captured by the pointer. Creates new FuncOps and thus cannot be used in a FuncOp pass. The client is responsible for providing a unique thenFnName/elseFnName that will not collide with another FuncOp name.

Definition at line 223 of file Utils.cpp.

References outlineSingleBlockRegion().

outlineKernelFunc()

gpu::GPUFuncOp mlir::outlineKernelFunc	(	gpu::LaunchOp	launchOp,
		StringRef	kernelFnName,
		llvm::SmallVectorImpl< Value > &	operands
	)

Get a gpu.func created from outlining the region of a gpu.launch op with the given kernelFnName.

The region of the launchOp can use values from above. These need to be captured and passed as arguments to the generated gpu.func. The generated function has arguments

• corresponding to the values passed in as operands, in that order.
• any additional values that might be used within the region of the launchOp and defined above it. These captured values are appended to the operands list.

Definition at line 265 of file KernelOutlining.cpp.

References outlineKernelFuncImpl().

outlineSingleBlockRegion()

FailureOr< func::FuncOp > mlir::outlineSingleBlockRegion	(	RewriterBase &	rewriter,
		Location	loc,
		Region &	region,
		StringRef	funcName,
		func::CallOp *	callOp = nullptr
	)

Outline a region with a single block into a new FuncOp.

Assumes the FuncOp result types is the type of the yielded operands of the single block. This constraint makes it easy to determine the result. This method also clones the arith::ConstantIndexOp at the start of outlinedFuncBody to alloc simple canonicalizations. Creates a new FuncOp and thus cannot be used in a FuncOp pass. The client is responsible for providing a unique funcName that will not collide with another FuncOp name. If callOp is provided, it will be set to point to the operation that calls the outlined function.

Assumes the FuncOp result types is the type of the yielded operands of the single block. This constraint makes it easy to determine the result. This method also clones the arith::ConstantIndexOp at the start of outlinedFuncBody to alloc simple canonicalizations. If callOp is provided, it will be set to point to the operation that calls the outlined function.

Definition at line 119 of file Utils.cpp.

References mlir::Region::begin(), mlir::OpBuilder::clone(), mlir::OpBuilder::create(), mlir::OpBuilder::createBlock(), mlir::RewriterBase::eraseOp(), mlir::Region::front(), get(), mlir::Block::getArguments(), mlir::Region::getArguments(), mlir::Builder::getContext(), mlir::Value::getDefiningOp(), mlir::Block::getNumArguments(), mlir::Operation::getOperands(), mlir::Operation::getOperandTypes(), mlir::detail::IROperandBase::getOwner(), mlir::Region::getParentOfType(), mlir::Operation::getResult(), mlir::Operation::getResultTypes(), mlir::Block::getTerminator(), getUsedValuesDefinedAbove(), mlir::Region::hasOneBlock(), mlir::IRMapping::map(), mlir::RewriterBase::mergeBlocks(), mlir::Value::replaceUsesWithIf(), mlir::OpBuilder::setInsertionPoint(), mlir::OpBuilder::setInsertionPointToEnd(), and mlir::OpBuilder::setInsertionPointToStart().

Referenced by outlineIfOp().

parallelFor()

template<typename FuncT >

void mlir::parallelFor	(	MLIRContext *	context,
		size_t	begin,
		size_t	end,
		FuncT &&	func
	)

Invoke the given function on the elements between [begin, end) asynchronously.

Diagnostics emitted during processing are ordered relative to the element's position within [begin, end). If the provided context does not have multi-threading enabled, this function always processes elements sequentially.

Definition at line 141 of file Threading.h.

References parallelForEach().

parallelForEach() [1/2]

template<typename IteratorT , typename FuncT >

void mlir::parallelForEach	(	MLIRContext *	context,
		IteratorT	begin,
		IteratorT	end,
		FuncT &&	func
	)

Invoke the given function on the elements between [begin, end) asynchronously.

Diagnostics emitted during processing are ordered relative to the element's position within [begin, end). If the provided context does not have multi-threading enabled, this function always processes elements sequentially.

Definition at line 117 of file Threading.h.

References failableParallelForEach().

Referenced by parallelFor(), and parallelForEach().

parallelForEach() [2/2]

template<typename RangeT , typename FuncT >

void mlir::parallelForEach	(	MLIRContext *	context,
		RangeT &&	range,
		FuncT &&	func
	)

Invoke the given function on the elements in the provided range asynchronously.

Diagnostics emitted during processing are ordered relative to the element's position within the range. If the provided context does not have multi-threading enabled, this function always processes elements sequentially.

Definition at line 130 of file Threading.h.

References parallelForEach().

parseAffineMap()

AffineMap mlir::parseAffineMap	(	llvm::StringRef	str,
		MLIRContext *	context
	)

This parses a single IntegerSet/AffineMap to an MLIR context if it was valid.

If not, an error message is emitted through a new SourceMgrDiagnosticHandler constructed from a new SourceMgr with a single MemoryBuffer wrapping str. If the passed str has additional tokens that were not part of the IntegerSet/AffineMap, a failure is returned.

parseAsmSourceFile()

LogicalResult mlir::parseAsmSourceFile	(	const llvm::SourceMgr &	sourceMgr,
		Block *	block,
		const ParserConfig &	config,
		AsmParserState *	asmState = nullptr,
		AsmParserCodeCompleteContext *	codeCompleteContext = nullptr
	)

This parses the file specified by the indicated SourceMgr and appends parsed operations to the given block.

If the block is non-empty, the operations are placed before the current terminator. If parsing is successful, success is returned. Otherwise, an error message is emitted through the error handler registered in the context, and failure is returned. If sourceFileLoc is non-null, it is populated with a file location representing the start of the source file that is being parsed. If asmState is non-null, it is populated with detailed information about the parsed IR (including exact locations for SSA uses and definitions). asmState should only be provided if this detailed information is desired. If codeCompleteContext is non-null, it is used to signal tracking of a code completion event (generally only ever useful for LSP or other high level language tooling).

Definition at line 2840 of file Parser.cpp.

References config, and mlir::FileLineColLoc::get().

parseAttribute()

Attribute mlir::parseAttribute	(	llvm::StringRef	attrStr,
		MLIRContext *	context,
		Type	type = {},
		size_t *	numRead = nullptr,
		bool	isKnownNullTerminated = false
	)

This parses a single MLIR attribute to an MLIR context if it was valid.

If not, an error diagnostic is emitted to the context and a null value is returned. If numRead is provided, it is set to the number of consumed characters on succesful parse. Otherwise, parsing fails if the entire string is not consumed. Some internal copying can be skipped if the source string is known to be null terminated.

Referenced by mlirAttributeParseGet().

parseDimensionList()

ParseResult mlir::parseDimensionList	(	OpAsmParser &	parser,
		DenseI64ArrayAttr &	dimensions
	)

Definition at line 4080 of file AsmPrinter.cpp.

References mlir::AsmParser::emitError(), mlir::detail::DenseArrayAttrImpl< T >::get(), mlir::AsmParser::getContext(), mlir::AsmParser::getCurrentLocation(), mlir::AsmParser::parseDimensionList(), mlir::AsmParser::parseOptionalLSquare(), and mlir::AsmParser::parseRSquare().

parseDynamicIndexList() [1/5]

ParseResult mlir::parseDynamicIndexList ( OpAsmParser &  parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &  values, DenseI64ArrayAttr &  integers, AsmParser::Delimiter  delimiter  )

inline

Definition at line 155 of file ViewLikeInterface.h.

References parseDynamicIndexList().

parseDynamicIndexList() [2/5]

ParseResult mlir::parseDynamicIndexList	(	OpAsmParser &	parser,
		SmallVectorImpl< OpAsmParser::UnresolvedOperand > &	values,
		DenseI64ArrayAttr &	integers,
		DenseBoolArrayAttr &	scalableVals,
		SmallVectorImpl< Type > *	valueTypes = nullptr,
		AsmParser::Delimiter	delimiter = AsmParser::Delimiter::Square
	)

Parser hook for custom directive in assemblyFormat.

custom<DynamicIndexList>($values, $integers) custom<DynamicIndexList>($values, $integers, type($values))

where values is of ODS type Variadic<*> and integers is of ODS type I64ArrayAttr. Parse a mixed list with either (1) static integer values or (2) SSA values. Fill integers with the integer ArrayAttr, where kDynamic encodes the position of SSA values. Add the parsed SSA values to values in-order. If valueTypes is non-null, fill it with types corresponding to values; otherwise the caller must handle the types.

E.g. after parsing "[%arg0 : index, 7, 42, %arg42 : i32]":

1. result is filled with the i64 ArrayAttr "[`kDynamic`, 7, 42, `kDynamic`]"
2. ssa is filled with "[%arg0, %arg1]".

Indices can be scalable. For example, "4" in "[2, [4], 8]" is scalable. This notation is similar to how scalable dims are marked when defining Vectors. For each value in integers, the corresponding bool in scalableVals encodes whether it's a scalable index.

Definition at line 148 of file ViewLikeInterface.cpp.

References mlir::AsmParser::emitError(), mlir::AsmParser::getBuilder(), mlir::Builder::getDenseBoolArrayAttr(), mlir::Builder::getDenseI64ArrayAttr(), mlir::AsmParser::getNameLoc(), mlir::AsmParser::parseColonType(), mlir::AsmParser::parseCommaSeparatedList(), mlir::AsmParser::parseInteger(), mlir::AsmParser::parseOptionalLSquare(), mlir::OpAsmParser::parseOptionalOperand(), and mlir::AsmParser::parseOptionalRSquare().

Referenced by parseDynamicIndexList(), and mlir::transform::parsePackedOrDynamicIndexList().

parseDynamicIndexList() [3/5]

ParseResult mlir::parseDynamicIndexList ( OpAsmParser &  parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &  values, DenseI64ArrayAttr &  integers, SmallVectorImpl< Type > &  valueTypes, AsmParser::Delimiter  delimiter = AsmParser::Delimiter::Square  )

inline

Definition at line 172 of file ViewLikeInterface.h.

References parseDynamicIndexList().

parseDynamicIndexList() [4/5]

ParseResult mlir::parseDynamicIndexList ( OpAsmParser &  parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &  values, DenseI64ArrayAttr &  integers, SmallVectorImpl< Type > &  valueTypes, DenseBoolArrayAttr &  scalableVals, AsmParser::Delimiter  delimiter = AsmParser::Delimiter::Square  )

inline

Definition at line 181 of file ViewLikeInterface.h.

References parseDynamicIndexList().

parseDynamicIndexList() [5/5]

ParseResult mlir::parseDynamicIndexList ( OpAsmParser &  parser, SmallVectorImpl< OpAsmParser::UnresolvedOperand > &  values, DenseI64ArrayAttr &  integers, SmallVectorImpl< Type > *  valueTypes = nullptr, AsmParser::Delimiter  delimiter = AsmParser::Delimiter::Square  )

inline

Definition at line 163 of file ViewLikeInterface.h.

References parseDynamicIndexList().

parseIntegerSet()

IntegerSet mlir::parseIntegerSet	(	llvm::StringRef	str,
		MLIRContext *	context
	)

parsePassPipeline() [1/2]

LogicalResult mlir::parsePassPipeline	(	StringRef	pipeline,
		OpPassManager &	pm,
		raw_ostream &	errorStream = llvm::errs()
	)

Parse the textual representation of a pass pipeline, adding the result to 'pm' on success.

Returns failure if the given pipeline was invalid. 'errorStream' is the output stream used to emit errors found during parsing.

Definition at line 767 of file PassRegistry.cpp.

Referenced by mlir::PassPipelineCLParser::addToPipeline(), mlir::PassReproducerOptions::apply(), mlirOpPassManagerAddPipeline(), mlirParsePassPipeline(), and parsePassPipeline().

parsePassPipeline() [2/2]

FailureOr< OpPassManager > mlir::parsePassPipeline	(	StringRef	pipeline,
		raw_ostream &	errorStream = llvm::errs()
	)

Parse the given textual representation of a pass pipeline, and return the parsed pipeline on success.

The given pipeline string should be wrapped with the desired type of operation to root the created operation, i.e. builtin.module(cse) over cse. Returns failure if the given pipeline was invalid. 'errorStream' is the output stream used to emit errors found during parsing.

Definition at line 781 of file PassRegistry.cpp.

References parsePassPipeline().

parseSemiFunctionType() [1/2]

ParseResult mlir::parseSemiFunctionType	(	OpAsmParser &	parser,
		Type &	argumentType,
		SmallVectorImpl< Type > &	resultTypes
	)

Definition at line 32 of file Syntax.cpp.

References mlir::AsmParser::parseArrow(), mlir::AsmParser::parseOptionalLParen(), mlir::AsmParser::parseRParen(), mlir::AsmParser::parseType(), and mlir::AsmParser::parseTypeList().

parseSemiFunctionType() [2/2]

ParseResult mlir::parseSemiFunctionType	(	OpAsmParser &	parser,
		Type &	argumentType,
		Type &	resultType,
		bool	resultOptional = true
	)

Parses a single non-function type or a function type with at least one argument.

This allows for the following syntax:

• type: just the argument type;
• ( type ) -> type: one argument and one result type;
• ( type ) -> ( comma-separated-type-list ): one argument and multiple result types.

Unlike FunctionType, this allows and requires one to omit the parens around the argument type in absence of result types, and does not accept the trailing -> () construct, which makes the syntax nicer for operations.

Definition at line 14 of file Syntax.cpp.

References mlir::AsmParser::parseArrow(), mlir::AsmParser::parseLParen(), mlir::AsmParser::parseOptionalLParen(), mlir::AsmParser::parseRParen(), and mlir::AsmParser::parseType().

parseSourceFile() [1/10]

LogicalResult mlir::parseSourceFile	(	const llvm::SourceMgr &	sourceMgr,
		Block *	block,
		const ParserConfig &	config,
		LocationAttr *	sourceFileLoc = nullptr
	)

This parses the file specified by the indicated SourceMgr and appends parsed operations to the given block.

If the block is non-empty, the operations are placed before the current terminator. If parsing is successful, success is returned. Otherwise, an error message is emitted through the error handler registered in the context, and failure is returned. If sourceFileLoc is non-null, it is populated with a file location representing the start of the source file that is being parsed.

Definition at line 20 of file Parser.cpp.

Referenced by mlir::lsp::MLIRServer::convertFromBytecode(), mlirQueryMain(), and parseSourceFileForTool().

parseSourceFile() [2/10]

template<typename ContainerOpT = Operation *>

OwningOpRef<ContainerOpT> mlir::parseSourceFile ( const llvm::SourceMgr &  sourceMgr, const ParserConfig &  config  )

inline

This parses the file specified by the indicated SourceMgr.

If the source IR contained a single instance of ContainerOpT, it is returned. Otherwise, a new instance of ContainerOpT is constructed containing all of the parsed operations. If parsing was not successful, null is returned and an error message is emitted through the error handler registered in the context, and failure is returned. ContainerOpT is required to have a single region containing a single block, and must implement the SingleBlockImplicitTerminator trait.

Definition at line 177 of file Parser.h.

References config.

parseSourceFile() [3/10]

LogicalResult mlir::parseSourceFile	(	const std::shared_ptr< llvm::SourceMgr > &	sourceMgr,
		Block *	block,
		const ParserConfig &	config,
		LocationAttr *	sourceFileLoc = nullptr
	)

An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR).

This is useful, for example, to avoid copying some large resources into the MLIRContext and instead referencing the data directly from the input buffers.

Definition at line 34 of file Parser.cpp.

References mlir::pdll::ast::Context::getDiagEngine().

parseSourceFile() [4/10]

template<typename ContainerOpT = Operation *>

OwningOpRef<ContainerOpT> mlir::parseSourceFile ( const std::shared_ptr< llvm::SourceMgr > &  sourceMgr, const ParserConfig &  config  )

inline

An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR).

This is useful, for example, to avoid copying some large resources into the MLIRContext and instead referencing the data directly from the input buffers.

Definition at line 187 of file Parser.h.

References config.

parseSourceFile() [5/10]

LogicalResult mlir::parseSourceFile	(	llvm::StringRef	filename,
		Block *	block,
		const ParserConfig &	config,
		LocationAttr *	sourceFileLoc = nullptr
	)

This parses the file specified by the indicated filename and appends parsed operations to the given block.

If the block is non-empty, the operations are placed before the current terminator. If parsing is successful, success is returned. Otherwise, an error message is emitted through the error handler registered in the context, and failure is returned. If sourceFileLoc is non-null, it is populated with a file location representing the start of the source file that is being parsed.

Definition at line 49 of file Parser.cpp.

parseSourceFile() [6/10]

LogicalResult mlir::parseSourceFile	(	llvm::StringRef	filename,
		const std::shared_ptr< llvm::SourceMgr > &	sourceMgr,
		Block *	block,
		const ParserConfig &	config,
		LocationAttr *	sourceFileLoc = nullptr
	)

An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR).

This is useful, for example, to avoid copying some large resources into the MLIRContext and instead referencing the data directly from the input buffers.

Definition at line 82 of file Parser.cpp.

parseSourceFile() [7/10]

template<typename ContainerOpT = Operation *>

OwningOpRef<ContainerOpT> mlir::parseSourceFile ( llvm::StringRef  filename, const std::shared_ptr< llvm::SourceMgr > &  sourceMgr, const ParserConfig &  config  )

inline

An overload with a source manager that may have references taken during the parsing process, and whose lifetime can be freely extended (such that the source manager is not destroyed before the parsed IR).

This is useful, for example, to avoid copying some large resources into the MLIRContext and instead referencing the data directly from the input buffers.

Definition at line 227 of file Parser.h.

References config.

parseSourceFile() [8/10]

LogicalResult mlir::parseSourceFile	(	llvm::StringRef	filename,
		llvm::SourceMgr &	sourceMgr,
		Block *	block,
		const ParserConfig &	config,
		LocationAttr *	sourceFileLoc = nullptr
	)

This parses the file specified by the indicated filename using the provided SourceMgr and appends parsed operations to the given block.

If the block is non-empty, the operations are placed before the current terminator. If parsing is successful, success is returned. Otherwise, an error message is emitted through the error handler registered in the context, and failure is returned. If sourceFileLoc is non-null, it is populated with a file location representing the start of the source file that is being parsed.

Definition at line 74 of file Parser.cpp.

parseSourceFile() [9/10]

template<typename ContainerOpT = Operation *>

OwningOpRef<ContainerOpT> mlir::parseSourceFile ( llvm::StringRef  filename, llvm::SourceMgr &  sourceMgr, const ParserConfig &  config  )

inline

This parses the file specified by the indicated filename using the provided SourceMgr.

If the source IR contained a single instance of ContainerOpT, it is returned. Otherwise, a new instance of ContainerOpT is constructed containing all of the parsed operations. If parsing was not successful, null is returned and an error message is emitted through the error handler registered in the context, and failure is returned. ContainerOpT is required to have a single region containing a single block, and must implement the SingleBlockImplicitTerminator trait.

Definition at line 215 of file Parser.h.

References config.

parseSourceFile() [10/10]

template<typename ContainerOpT = Operation *>

OwningOpRef<ContainerOpT> mlir::parseSourceFile ( StringRef  filename, const ParserConfig &  config  )

inline

This parses the file specified by the indicated filename.

If the source IR contained a single instance of ContainerOpT, it is returned. Otherwise, a new instance of ContainerOpT is constructed containing all of the parsed operations. If parsing was not successful, null is returned and an error message is emitted through the error handler registered in the context, and failure is returned. ContainerOpT is required to have a single region containing a single block, and must implement the SingleBlockImplicitTerminator trait.

Definition at line 201 of file Parser.h.

References config.

parseSourceFileForTool()

OwningOpRef<Operation *> mlir::parseSourceFileForTool ( const std::shared_ptr< llvm::SourceMgr > &  sourceMgr, const ParserConfig &  config, bool  insertImplicitModule  )

inline

This parses the file specified by the indicated SourceMgr.

If parsing was not successful, null is returned and an error message is emitted through the error handler registered in the context. If 'insertImplicitModule' is true a top-level 'builtin.module' op will be inserted that contains the parsed IR, unless one exists already.

Definition at line 27 of file ParseUtilities.h.

References config, and parseSourceFile().

Referenced by loadModule(), parseMLIRInput(), and performActions().

parseSourceString() [1/2]

LogicalResult mlir::parseSourceString	(	llvm::StringRef	sourceStr,
		Block *	block,
		const ParserConfig &	config,
		StringRef	sourceName = "",
		LocationAttr *	sourceFileLoc = nullptr
	)

This parses the IR string and appends parsed operations to the given block.

If the block is non-empty, the operations are placed before the current terminator. If parsing is successful, success is returned. Otherwise, an error message is emitted through the error handler registered in the context, and failure is returned. sourceName is used as the file name of the source; any IR without locations will get a FileLineColLoc location with sourceName as the file name. If sourceFileLoc is non-null, it is populated with a file location representing the start of the source file that is being parsed.

Definition at line 90 of file Parser.cpp.

Referenced by mlirOperationCreateParse(), and parseSourceString().

parseSourceString() [2/2]

template<typename ContainerOpT = Operation *>

OwningOpRef<ContainerOpT> mlir::parseSourceString ( llvm::StringRef  sourceStr, const ParserConfig &  config, StringRef  sourceName = ""  )

inline

This parses the provided string containing MLIR.

If the source IR contained a single instance of ContainerOpT, it is returned. Otherwise, a new instance of ContainerOpT is constructed containing all of the parsed operations. If parsing was not successful, null is returned and an error message is emitted through the error handler registered in the context, and failure is returned. ContainerOpT is required to have a single region containing a single block, and must implement the SingleBlockImplicitTerminator trait. sourceName is used as the file name of the source; any IR without locations will get a FileLineColLoc location with sourceName as the file name.

Definition at line 245 of file Parser.h.

References config, and parseSourceString().

parseType()

Type mlir::parseType	(	llvm::StringRef	typeStr,
		MLIRContext *	context,
		size_t *	numRead = nullptr,
		bool	isKnownNullTerminated = false
	)

This parses a single MLIR type to an MLIR context if it was valid.

If not, an error diagnostic is emitted to the context. If numRead is provided, it is set to the number of consumed characters on succesful parse. Otherwise, parsing fails if the entire string is not consumed. Some internal copying can be skipped if the source string is known to be null terminated.

Referenced by mlirTypeParseGet(), parseExtTypeParams(), and mlir::AsmParser::parseTypeList().

populateAffineToStdConversionPatterns()

void mlir::populateAffineToStdConversionPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to convert from the Affine dialect to the Standard dialect, in particular convert structured affine control flow into CFG branch-based control flow.

Definition at line 528 of file AffineToStandard.cpp.

References patterns.

populateAffineToVectorConversionPatterns()

void mlir::populateAffineToVectorConversionPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to convert vector-related Affine ops to the Vector dialect.

Definition at line 546 of file AffineToStandard.cpp.

References patterns.

populateAMDGPUToROCDLConversionPatterns()

void mlir::populateAMDGPUToROCDLConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns,
		amdgpu::Chipset	chipset
	)

Note: The ROCDL target does not support the LLVM bfloat type at this time and so this function will add conversions to change all bfloat uses to i16.

Definition at line 1042 of file AMDGPUToROCDL.cpp.

References patterns.

populateAMXLegalizeForLLVMExportPatterns()

void mlir::populateAMXLegalizeForLLVMExportPatterns	(	LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to lower AMX ops to ops that map to LLVM intrinsics.

Definition at line 211 of file LegalizeForLLVMExport.cpp.

References mlir::TypeConverter::addConversion(), get(), mlir::LLVMTypeConverter::getContext(), and patterns.

populateAnyFunctionOpInterfaceTypeConversionPattern()

void mlir::populateAnyFunctionOpInterfaceTypeConversionPattern	(	RewritePatternSet &	patterns,
		const TypeConverter &	converter
	)

Definition at line 3165 of file DialectConversion.cpp.

References patterns.

populateArithToEmitCPatterns()

void mlir::populateArithToEmitCPatterns	(	TypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Definition at line 742 of file ArithToEmitC.cpp.

References patterns, and populateEmitCSizeTTypeConversions().

populateArmSMEToLLVMConversionPatterns()

void mlir::populateArmSMEToLLVMConversionPatterns	(	LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Populate the given list with patterns that convert from the ArmSME dialect to LLVM intrinsics.

Definition at line 978 of file ArmSMEToLLVM.cpp.

References mlir::TypeConverter::addConversion(), mlir::arm_sme::isValidSMETileVectorType(), and patterns.

populateArmSMEToSCFConversionPatterns()

void mlir::populateArmSMEToSCFConversionPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to convert from the ArmSME dialect to SCF.

Definition at line 392 of file ArmSMEToSCF.cpp.

References patterns.

populateArmSVELegalizeForLLVMExportPatterns()

void mlir::populateArmSVELegalizeForLLVMExportPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to lower ArmSVE ops to ops that map to LLVM intrinsics.

Populate the given list with patterns that convert from ArmSVE to LLVM.

Definition at line 202 of file LegalizeForLLVMExport.cpp.

References mlir::LLVMTypeConverter::getContext(), and patterns.

populateAsyncFuncToAsyncRuntimeConversionPatterns()

void mlir::populateAsyncFuncToAsyncRuntimeConversionPatterns	(	RewritePatternSet &	patterns,
		ConversionTarget &	target
	)

Definition at line 853 of file AsyncToAsyncRuntime.cpp.

References mlir::ConversionTarget::addDynamicallyLegalOp(), and patterns.

populateAsyncStructuralTypeConversionsAndLegality()

void mlir::populateAsyncStructuralTypeConversionsAndLegality	(	TypeConverter &	typeConverter,
		RewritePatternSet &	patterns,
		ConversionTarget &	target
	)

Populates patterns for async structural type conversions.

A "structural" type conversion is one where the underlying ops are completely agnostic to the actual types involved and simply need to update their types. An example of this is async.execute – the async.execute op and the corresponding async.yield ops need to update their types accordingly to the TypeConverter, but otherwise don't care what type conversions are happening.

Definition at line 1149 of file AsyncToLLVM.cpp.

References mlir::TypeConverter::addConversion(), mlir::ConversionTarget::addDynamicallyLegalOp(), mlir::TypeConverter::convertType(), get(), mlir::TypeConverter::isLegal(), and patterns.

populateBranchOpInterfaceTypeConversionPattern()

void mlir::populateBranchOpInterfaceTypeConversionPattern	(	RewritePatternSet &	patterns,
		const TypeConverter &	converter,
		function_ref< bool(BranchOpInterface branchOp, int idx)>	shouldConvertBranchOperand = nullptr
	)

Add a pattern to the given pattern list to rewrite branch operations to use operands that have been legalized by the conversion framework.

This can only be done if the branch operation implements the BranchOpInterface. Only needed for partial conversions.

If for some branch ops, we need to convert/legalize only a sub-set of the op's operands, such filtering behavior can be specified in shouldConvertBranchOperand. This callback should return true if branchOp's operand at index idx should be converted.

populateBuiltinFuncToSPIRVPatterns()

void mlir::populateBuiltinFuncToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating the builtin func op to the SPIR-V dialect.

These patterns do not handle shader interface/ABI; they convert function parameters to be of SPIR-V allowed types.

Definition at line 1585 of file SPIRVConversion.cpp.

References patterns.

populateCallOpTypeConversionPattern()

void mlir::populateCallOpTypeConversionPattern	(	RewritePatternSet &	patterns,
		const TypeConverter &	converter
	)

Add a pattern to the given pattern list to convert the operand and result types of a CallOp with the given type converter.

Definition at line 67 of file FuncConversions.cpp.

References patterns.

Referenced by mlir::arith::populateArithNarrowTypeEmulationPatterns(), and mlir::arith::populateArithWideIntEmulationPatterns().

populateCommutativityUtilsPatterns()

void mlir::populateCommutativityUtilsPatterns

(

RewritePatternSet &

patterns

)

Populates the commutativity utility patterns.

Definition at line 312 of file CommutativityUtils.cpp.

References patterns.

populateComplexToLibmConversionPatterns()

void mlir::populateComplexToLibmConversionPatterns	(	RewritePatternSet &	patterns,
		PatternBenefit	benefit
	)

Populate the given list with patterns that convert from Complex to Libm calls.

Definition at line 100 of file ComplexToLibm.cpp.

References patterns.

populateComplexToLLVMConversionPatterns()

void mlir::populateComplexToLLVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Populate the given list with patterns that convert from Complex to LLVM.

Definition at line 325 of file ComplexToLLVM.cpp.

References patterns.

populateComplexToSPIRVPatterns()

void mlir::populateComplexToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating Complex ops to SPIR-V ops.

Definition at line 105 of file ComplexToSPIRV.cpp.

References patterns.

populateComplexToStandardConversionPatterns()

void mlir::populateComplexToStandardConversionPatterns

(

RewritePatternSet &

patterns

)

Populate the given list with patterns that convert from Complex to Standard.

Definition at line 1221 of file ComplexToStandard.cpp.

References patterns.

populateConversionTargetFromOperation()

void mlir::populateConversionTargetFromOperation	(	Operation *	op,
		ConversionTarget &	target,
		LLVMTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Recursively walk the IR and collect all dialects implementing the interface, and populate the conversion patterns.

Definition at line 16 of file ToLLVMInterface.cpp.

References mlir::Operation::getDialect(), patterns, and mlir::Operation::walk().

populateConvertArmNeon2dToIntrPatterns()

void mlir::populateConvertArmNeon2dToIntrPatterns

(

RewritePatternSet &

patterns

)

Populates patterns for the lowering of Arm NEON 2D ops to intrinsics.

See createConvertArmNeon2dToIntrPass.

Definition at line 69 of file ArmNeon2dToIntr.cpp.

References patterns.

populateConvertShapeConstraintsConversionPatterns()

void mlir::populateConvertShapeConstraintsConversionPatterns

(

RewritePatternSet &

patterns

)

Definition at line 44 of file ConvertShapeConstraints.cpp.

References patterns.

populateEmitCSizeTTypeConversions()

void mlir::populateEmitCSizeTTypeConversions

(

TypeConverter &

converter

)

Definition at line 30 of file TypeConversions.cpp.

References mlir::TypeConverter::addArgumentMaterialization(), mlir::TypeConverter::addConversion(), mlir::TypeConverter::addSourceMaterialization(), mlir::TypeConverter::addTargetMaterialization(), and get().

Referenced by populateArithToEmitCPatterns().

populateExpandAcoshPattern()

void mlir::populateExpandAcoshPattern

(

RewritePatternSet &

patterns

)

Definition at line 667 of file ExpandPatterns.cpp.

References convertAcoshOp(), and patterns.

populateExpandAsinhPattern()

void mlir::populateExpandAsinhPattern

(

RewritePatternSet &

patterns

)

Definition at line 663 of file ExpandPatterns.cpp.

References convertAsinhOp(), and patterns.

populateExpandAtanhPattern()

void mlir::populateExpandAtanhPattern

(

RewritePatternSet &

patterns

)

Definition at line 671 of file ExpandPatterns.cpp.

References convertAtanhOp(), and patterns.

populateExpandCeilFPattern()

void mlir::populateExpandCeilFPattern

(

RewritePatternSet &

patterns

)

Definition at line 679 of file ExpandPatterns.cpp.

References convertCeilOp(), and patterns.

populateExpandCoshPattern()

void mlir::populateExpandCoshPattern

(

RewritePatternSet &

patterns

)

Definition at line 651 of file ExpandPatterns.cpp.

References convertCoshOp(), and patterns.

populateExpandCtlzPattern()

void mlir::populateExpandCtlzPattern

(

RewritePatternSet &

patterns

)

Definition at line 643 of file ExpandPatterns.cpp.

References convertCtlzOp(), and patterns.

populateExpandExp2FPattern()

void mlir::populateExpandExp2FPattern

(

RewritePatternSet &

patterns

)

Definition at line 683 of file ExpandPatterns.cpp.

References convertExp2fOp(), and patterns.

populateExpandFloorFPattern()

void mlir::populateExpandFloorFPattern

(

RewritePatternSet &

patterns

)

Definition at line 699 of file ExpandPatterns.cpp.

References convertFloorOp(), and patterns.

populateExpandFmaFPattern()

void mlir::populateExpandFmaFPattern

(

RewritePatternSet &

patterns

)

Definition at line 675 of file ExpandPatterns.cpp.

References convertFmaFOp(), and patterns.

populateExpandFPowIPattern()

void mlir::populateExpandFPowIPattern

(

RewritePatternSet &

patterns

)

Definition at line 691 of file ExpandPatterns.cpp.

References convertFPowIOp(), and patterns.

populateExpandPowFPattern()

void mlir::populateExpandPowFPattern

(

RewritePatternSet &

patterns

)

Definition at line 687 of file ExpandPatterns.cpp.

References convertPowfOp(), and patterns.

populateExpandRoundEvenPattern()

void mlir::populateExpandRoundEvenPattern

(

RewritePatternSet &

patterns

)

Definition at line 703 of file ExpandPatterns.cpp.

References convertRoundEvenOp(), and patterns.

populateExpandRoundFPattern()

void mlir::populateExpandRoundFPattern

(

RewritePatternSet &

patterns

)

Definition at line 695 of file ExpandPatterns.cpp.

References convertRoundOp(), and patterns.

populateExpandRsqrtPattern()

void mlir::populateExpandRsqrtPattern

(

RewritePatternSet &

patterns

)

Definition at line 707 of file ExpandPatterns.cpp.

References convertRsqrtOp(), and patterns.

populateExpandSinhPattern()

void mlir::populateExpandSinhPattern

(

RewritePatternSet &

patterns

)

Definition at line 647 of file ExpandPatterns.cpp.

References convertSinhOp(), and patterns.

populateExpandTanhPattern()

void mlir::populateExpandTanhPattern

(

RewritePatternSet &

patterns

)

Definition at line 659 of file ExpandPatterns.cpp.

References convertTanhOp(), and patterns.

populateExpandTanPattern()

void mlir::populateExpandTanPattern

(

RewritePatternSet &

patterns

)

Definition at line 655 of file ExpandPatterns.cpp.

References convertTanOp(), and patterns.

populateFinalizeMemRefToLLVMConversionPatterns()

void mlir::populateFinalizeMemRefToLLVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to convert memory-related operations from the MemRef dialect to the LLVM dialect.

Definition at line 1662 of file MemRefToLLVM.cpp.

References mlir::LowerToLLVMOptions::AlignedAlloc, mlir::LowerToLLVMOptions::allocLowering, mlir::LLVMTypeConverter::getOptions(), mlir::LowerToLLVMOptions::Malloc, and patterns.

populateFuncOpVectorRewritePatterns()

void mlir::populateFuncOpVectorRewritePatterns

(

RewritePatternSet &

patterns

)

Definition at line 1590 of file SPIRVConversion.cpp.

References patterns.

Referenced by mlir::spirv::unrollVectorsInSignatures().

populateFunctionOpInterfaceTypeConversionPattern() [1/2]

template<typename FuncOpT >

void mlir::populateFunctionOpInterfaceTypeConversionPattern	(	RewritePatternSet &	patterns,
		const TypeConverter &	converter
	)

Definition at line 785 of file DialectConversion.h.

References patterns, and populateFunctionOpInterfaceTypeConversionPattern().

populateFunctionOpInterfaceTypeConversionPattern() [2/2]

void mlir::populateFunctionOpInterfaceTypeConversionPattern	(	StringRef	functionLikeOpName,
		RewritePatternSet &	patterns,
		const TypeConverter &	converter
	)

Add a pattern to the given pattern list to convert the signature of a FunctionOpInterface op with the given type converter.

This only supports ops which use FunctionType to represent their type.

Definition at line 3158 of file DialectConversion.cpp.

References patterns.

Referenced by populateFunctionOpInterfaceTypeConversionPattern().

populateFuncToEmitCPatterns()

void mlir::populateFuncToEmitCPatterns

(

RewritePatternSet &

patterns

)

Definition at line 115 of file FuncToEmitC.cpp.

References patterns.

populateFuncToLLVMConversionPatterns()

void mlir::populateFuncToLLVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns,
		const SymbolTable *	symbolTable = nullptr
	)

Collect the patterns to convert from the Func dialect to LLVM.

The conversion patterns capture the LLVMTypeConverter and the LowerToLLVMOptions by reference meaning the references have to remain alive during the entire pattern lifetime.

The symbolTable parameter can be used to speed up function lookups in the module. It's good to provide it, but only if we know that the patterns will be applied to a single module and the symbols referenced by the symbol table will not be removed and new symbols will not be added during the usage of the patterns. If provided, the lookups will have O(calls) cumulative runtime, otherwise O(calls * functions). The symbol table is currently not needed if converter.getOptions().useBarePtrCallConv is true, but it's not an error to provide it anyway.

Definition at line 733 of file FuncToLLVM.cpp.

References patterns, and populateFuncToLLVMFuncOpConversionPattern().

populateFuncToLLVMFuncOpConversionPattern()

void mlir::populateFuncToLLVMFuncOpConversionPattern	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect the default pattern to convert a FuncOp to the LLVM dialect.

If emitCWrappers is set, the pattern will also produce functions that pass memref descriptors by pointer-to-structure in addition to the default unpacked form.

Definition at line 728 of file FuncToLLVM.cpp.

References patterns.

Referenced by populateFuncToLLVMConversionPatterns().

populateFuncToSPIRVPatterns()

void mlir::populateFuncToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating Func ops to SPIR-V ops.

Also adds the patterns to legalize ops not directly translated to SPIR-V dialect.

Definition at line 90 of file FuncToSPIRV.cpp.

References patterns.

populateFuncTypeConversionPatterns()

void mlir::populateFuncTypeConversionPatterns	(	const TypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Definition at line 75 of file OneToNFuncConversions.cpp.

References patterns.

populateGpuAllReducePatterns()

void mlir::populateGpuAllReducePatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to rewrite all-reduce ops within the GPU dialect.

Definition at line 379 of file AllReduceLowering.cpp.

References patterns.

Referenced by populateGpuRewritePatterns().

populateGpuBreakDownSubgroupReducePatterns()

void mlir::populateGpuBreakDownSubgroupReducePatterns	(	RewritePatternSet &	patterns,
		unsigned	maxShuffleBitwidth = 32,
		PatternBenefit	benefit = 1
	)

Collect a set of patterns to break down subgroup_reduce ops into smaller ones supported by the target of size <= maxShuffleBitwidth, where size is the subgroup_reduce value bitwidth.

Definition at line 367 of file SubgroupReduceLowering.cpp.

References patterns.

populateGpuDecomposeMemrefsPatterns()

void mlir::populateGpuDecomposeMemrefsPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to decompose memrefs ops.

Definition at line 237 of file DecomposeMemRefs.cpp.

References patterns.

populateGpuEliminateBarriersPatterns()

void mlir::populateGpuEliminateBarriersPatterns

(

RewritePatternSet &

patterns

)

Erase barriers that do not enforce conflicting memory side effects.

Definition at line 641 of file EliminateBarriers.cpp.

References patterns.

populateGpuGlobalIdPatterns()

void mlir::populateGpuGlobalIdPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to rewrite GlobalIdOp op within the GPU dialect.

Definition at line 43 of file GlobalIdRewriter.cpp.

References patterns.

Referenced by populateGpuRewritePatterns().

populateGpuLowerClusteredSubgroupReduceToShufflePatterns()

void mlir::populateGpuLowerClusteredSubgroupReduceToShufflePatterns	(	RewritePatternSet &	patterns,
		unsigned	subgroupSize,
		unsigned	shuffleBitwidth = 32,
		PatternBenefit	benefit = 1
	)

Disjoint counterpart of populateGpuLowerSubgroupReduceToShufflePatterns that only matches gpu.subgroup_reduce ops with a cluster_size.

Definition at line 383 of file SubgroupReduceLowering.cpp.

References patterns.

populateGpuLowerSubgroupReduceToShufflePatterns()

void mlir::populateGpuLowerSubgroupReduceToShufflePatterns	(	RewritePatternSet &	patterns,
		unsigned	subgroupSize,
		unsigned	shuffleBitwidth = 32,
		PatternBenefit	benefit = 1
	)

Collect a set of patterns to lower gpu.subgroup_reduce into gpu.shuffle ops over shuffleBitwidth scalar types.

Assumes that the subgroup has subgroupSize lanes. Uses the butterfly shuffle algorithm.

The patterns populated by this function will ignore ops with the cluster_size attribute. populateGpuLowerClusteredSubgroupReduceToShufflePatterns is the opposite.

Definition at line 375 of file SubgroupReduceLowering.cpp.

References patterns.

populateGpuMemorySpaceAttributeConversions() [1/2]

void mlir::populateGpuMemorySpaceAttributeConversions

(

TypeConverter &

typeConverter

)

Populates memory space attribute conversion rules for lowering gpu.address_space to integer values.

Definition at line 490 of file GPUToLLVMSPV.cpp.

References populateGpuMemorySpaceAttributeConversions().

populateGpuMemorySpaceAttributeConversions() [2/2]

void mlir::populateGpuMemorySpaceAttributeConversions	(	TypeConverter &	typeConverter,
		const MemorySpaceMapping &	mapping
	)

Populates memory space attribute conversion rules for lowering gpu.address_space to integer values.

Definition at line 785 of file GPUOpsLowering.cpp.

References mlir::TypeConverter::addTypeAttributeConversion(), and wrapNumericMemorySpace().

Referenced by configureGpuToNVVMTypeConverter(), and populateGpuMemorySpaceAttributeConversions().

populateGpuRewritePatterns()

void mlir::populateGpuRewritePatterns ( RewritePatternSet &  patterns )

inline

Collect all patterns to rewrite ops within the GPU dialect.

Definition at line 91 of file Passes.h.

References patterns, populateGpuAllReducePatterns(), populateGpuGlobalIdPatterns(), and populateGpuShufflePatterns().

populateGpuShufflePatterns()

void mlir::populateGpuShufflePatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to rewrite shuffle ops within the GPU dialect.

Definition at line 97 of file ShuffleRewriter.cpp.

References patterns.

Referenced by populateGpuRewritePatterns().

populateGpuSubgroupReduceOpLoweringPattern()

void mlir::populateGpuSubgroupReduceOpLoweringPattern	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Populate GpuSubgroupReduce pattern to NVVM.

It generates a specific nvvm op that is not available on every GPU.

Definition at line 351 of file LowerGpuOpsToNVVMOps.cpp.

References patterns.

populateGpuToLLVMConversionPatterns()

void mlir::populateGpuToLLVMConversionPatterns	(	LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns,
		bool	kernelBarePtrCallConv = false
	)

Collect a set of patterns to convert from the GPU dialect to LLVM and populate converter for gpu types.

Definition at line 1738 of file GPUToLLVMConversion.cpp.

References patterns.

populateGpuToLLVMSPVConversionPatterns()

void mlir::populateGpuToLLVMSPVConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Definition at line 461 of file GPUToLLVMSPV.cpp.

References mlir::LLVMTypeConverter::getContext(), and patterns.

populateGpuToNVVMConversionPatterns()

void mlir::populateGpuToNVVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to convert from the GPU dialect to NVVM.

Definition at line 356 of file LowerGpuOpsToNVVMOps.cpp.

References get(), mlir::LLVMTypeConverter::getContext(), mlir::NVVM::kSharedMemoryAlignmentBit, kSharedMemorySpace, and patterns.

populateGpuToROCDLConversionPatterns()

void mlir::populateGpuToROCDLConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns,
		gpu::amd::Runtime	runtime
	)

Collect a set of patterns to convert from the GPU dialect to ROCDL.

If runtime is Unknown, gpu.printf will not be lowered The resulting pattern set should be run over a gpu.module op

Definition at line 359 of file LowerGpuOpsToROCDLOps.cpp.

populateGPUToSPIRVPatterns()

void mlir::populateGPUToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating GPU Ops to SPIR-V ops.

For a gpu.func to be converted, it should have a spirv.entry_point_abi attribute.

Definition at line 732 of file GPUToSPIRV.cpp.

References patterns.

populateGpuWMMAToNVVMConversionPatterns()

void mlir::populateGpuWMMAToNVVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to convert WMMA ops from GPU dialect to NVVM.

Definition at line 390 of file WmmaOpsToNvvm.cpp.

References patterns.

populateGpuWMMAToSPIRVCoopMatrixKHRConversionPatterns()

void mlir::populateGpuWMMAToSPIRVCoopMatrixKHRConversionPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to convert WMMA ops from GPU dialect to SPIRV, using the KHR Cooperative Matrix extension.

Definition at line 295 of file WmmaOpsToSPIRV.cpp.

References patterns.

populateLowerForeachToSCFPatterns()

void mlir::populateLowerForeachToSCFPatterns

(

RewritePatternSet &

patterns

)

Definition at line 1593 of file SparseTensorRewriting.cpp.

References patterns.

populateLowerSparseIterationToSCFPatterns()

void mlir::populateLowerSparseIterationToSCFPatterns	(	const TypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Definition at line 435 of file SparseIterationToScf.cpp.

References patterns.

populateLowerSparseOpsToForeachPatterns()

void mlir::populateLowerSparseOpsToForeachPatterns	(	RewritePatternSet &	patterns,
		bool	enableRT,
		bool	enableConvert
	)

Definition at line 1577 of file SparseTensorRewriting.cpp.

References patterns.

populateMathAlgebraicSimplificationPatterns()

void mlir::populateMathAlgebraicSimplificationPatterns

(

RewritePatternSet &

patterns

)

Definition at line 224 of file AlgebraicSimplification.cpp.

References patterns.

populateMathPolynomialApproximationPatterns()

void mlir::populateMathPolynomialApproximationPatterns	(	RewritePatternSet &	patterns,
		const MathPolynomialApproximationOptions &	options = {}
	)

Definition at line 1670 of file PolynomialApproximation.cpp.

References options, and patterns.

populateMathToLibmConversionPatterns()

void mlir::populateMathToLibmConversionPatterns

(

RewritePatternSet &

patterns

)

Populate the given list with patterns that convert from Math to Libm calls.

If log1pBenefit is present, use it instead of benefit for the Log1p op.

Definition at line 162 of file MathToLibm.cpp.

References patterns.

populateMathToLLVMConversionPatterns()

void mlir::populateMathToLLVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns,
		bool	approximateLog1p = true
	)

Definition at line 301 of file MathToLLVM.cpp.

References patterns.

populateMathToROCDLConversionPatterns()

void mlir::populateMathToROCDLConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Populate the given list with patterns that convert from Math to ROCDL calls.

Definition at line 48 of file MathToROCDL.cpp.

References patterns.

populateMathToSPIRVPatterns()

void mlir::populateMathToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating Math ops to SPIR-V ops.

Definition at line 488 of file MathToSPIRV.cpp.

References patterns.

populateMemRefToEmitCConversionPatterns()

void mlir::populateMemRefToEmitCConversionPatterns	(	RewritePatternSet &	patterns,
		const TypeConverter &	converter
	)

Definition at line 184 of file MemRefToEmitC.cpp.

References patterns.

populateMemRefToEmitCTypeConversion()

void mlir::populateMemRefToEmitCTypeConversion

(

TypeConverter &

typeConverter

)

Definition at line 166 of file MemRefToEmitC.cpp.

References mlir::TypeConverter::addConversion(), mlir::TypeConverter::convertType(), and get().

populateMemRefToSPIRVPatterns()

void mlir::populateMemRefToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating MemRef ops to SPIR-V ops.

Definition at line 929 of file MemRefToSPIRV.cpp.

References patterns.

populateMMAToSPIRVCoopMatrixTypeConversion()

void mlir::populateMMAToSPIRVCoopMatrixTypeConversion

(

mlir::SPIRVTypeConverter &

typeConverter

)

Adds MMAMatrixType conversions to SPIR-V cooperative matrix KHR type conversion to the type converter.

Definition at line 307 of file WmmaOpsToSPIRV.cpp.

References mlir::TypeConverter::addConversion(), get(), mlir::gpu::MMAMatrixType::getElementType(), mlir::gpu::MMAMatrixType::getOperand(), and mlir::gpu::MMAMatrixType::getShape().

populateNVGPUToNVVMConversionPatterns()

void mlir::populateNVGPUToNVVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Definition at line 1704 of file NVGPUToNVVM.cpp.

References patterns.

populateNVVMToLLVMConversionPatterns()

void mlir::populateNVVMToLLVMConversionPatterns

(

RewritePatternSet &

patterns

)

Definition at line 111 of file NVVMToLLVM.cpp.

References patterns.

populateOneToNFunctionOpInterfaceTypeConversionPattern() [1/2]

template<typename FuncOpT >

void mlir::populateOneToNFunctionOpInterfaceTypeConversionPattern	(	const TypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Definition at line 266 of file OneToNTypeConversion.h.

References patterns, and populateOneToNFunctionOpInterfaceTypeConversionPattern().

populateOneToNFunctionOpInterfaceTypeConversionPattern() [2/2]

void mlir::populateOneToNFunctionOpInterfaceTypeConversionPattern	(	StringRef	functionLikeOpName,
		const TypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Add a pattern to the given pattern list to convert the signature of a FunctionOpInterface op with the given type converter.

This only supports ops which use FunctionType to represent their type. This is intended to be used with the 1:N dialect conversion.

Definition at line 452 of file OneToNTypeConversion.cpp.

References patterns.

Referenced by populateOneToNFunctionOpInterfaceTypeConversionPattern().

populateOpConvertToLLVMConversionPatterns()

void mlir::populateOpConvertToLLVMConversionPatterns	(	Operation *	op,
		ConversionTarget &	target,
		LLVMTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Helper function for populating LLVM conversion patterns.

If op implements the ConvertToLLVMOpInterface interface, then the LLVM conversion pattern attributes provided by the interface will be used to configure the conversion target, type converter, and the pattern set.

Definition at line 34 of file ToLLVMInterface.cpp.

References mlir::Operation::getParentOfType(), and patterns.

populateOpenACCToSCFConversionPatterns()

void mlir::populateOpenACCToSCFConversionPatterns

(

RewritePatternSet &

patterns

)

Collect the patterns to convert from the OpenACC dialect to OpenACC with SCF dialect.

Definition at line 61 of file OpenACCToSCF.cpp.

References patterns.

populateOpenMPToLLVMConversionPatterns()

void mlir::populateOpenMPToLLVMConversionPatterns	(	LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Populate the given list with patterns that convert from OpenMP to LLVM.

Definition at line 251 of file OpenMPToLLVM.cpp.

References mlir::TypeConverter::addConversion(), and patterns.

populateParallelLoopToGPUPatterns()

void mlir::populateParallelLoopToGPUPatterns

(

RewritePatternSet &

patterns

)

Adds the conversion pattern from scf.parallel to gpu.launch to the provided pattern list.

Definition at line 675 of file SCFToGPU.cpp.

References patterns.

populatePolynomialApproximateErfPattern()

void mlir::populatePolynomialApproximateErfPattern

(

RewritePatternSet &

patterns

)

Definition at line 1665 of file PolynomialApproximation.cpp.

References patterns.

populatePolynomialApproximateTanhPattern()

void mlir::populatePolynomialApproximateTanhPattern

(

RewritePatternSet &

patterns

)

Definition at line 1660 of file PolynomialApproximation.cpp.

References patterns.

populatePrepareVectorToMMAPatterns()

void mlir::populatePrepareVectorToMMAPatterns	(	RewritePatternSet &	patterns,
		bool	useNvGpu = false
	)

Patterns to transform vector ops into a canonical form to convert to MMA matrix operations.

If useNvGpu is true, then the patterns will populated will prepare for conversion to nvgpu mma operations rather than the gpu dialect WMMA operations.

Definition at line 1231 of file VectorToGPU.cpp.

References patterns, and mlir::vector::populateVectorContractCanonicalizeMatmulToMMT().

populatePreSparsificationRewriting()

void mlir::populatePreSparsificationRewriting

(

RewritePatternSet &

patterns

)

Definition at line 1570 of file SparseTensorRewriting.cpp.

References patterns.

populateRemoveShapeConstraintsPatterns()

void mlir::populateRemoveShapeConstraintsPatterns

(

RewritePatternSet &

patterns

)

Definition at line 64 of file RemoveShapeConstraints.cpp.

References patterns.

populateReturnOpTypeConversionPattern()

void mlir::populateReturnOpTypeConversionPattern	(	RewritePatternSet &	patterns,
		const TypeConverter &	converter
	)

Add a pattern to the given pattern list to rewrite return ops to use operands that have been legalized by the conversion framework.

Definition at line 159 of file FuncConversions.cpp.

References patterns.

Referenced by mlir::arith::populateArithNarrowTypeEmulationPatterns(), and mlir::arith::populateArithWideIntEmulationPatterns().

populateReturnOpVectorRewritePatterns()

void mlir::populateReturnOpVectorRewritePatterns

(

RewritePatternSet &

patterns

)

Definition at line 1594 of file SPIRVConversion.cpp.

References patterns.

Referenced by mlir::spirv::unrollVectorsInSignatures().

populateSCFToControlFlowConversionPatterns()

void mlir::populateSCFToControlFlowConversionPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to convert SCF operations to CFG branch-based operations within the ControlFlow dialect.

Definition at line 708 of file SCFToControlFlow.cpp.

References patterns.

populateSCFToEmitCConversionPatterns()

void mlir::populateSCFToEmitCConversionPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to convert SCF operations to the EmitC dialect.

Definition at line 245 of file SCFToEmitC.cpp.

References patterns.

populateSCFToSPIRVPatterns()

void mlir::populateSCFToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		ScfToSPIRVContext &	scfToSPIRVContext,
		RewritePatternSet &	patterns
	)

Collects a set of patterns to lower from scf.for, scf.if, and loop.terminator to CFG operations within the SPIR-V dialect.

Definition at line 439 of file SCFToSPIRV.cpp.

References mlir::ScfToSPIRVContext::getImpl(), and patterns.

populateShapeRewritePatterns()

void mlir::populateShapeRewritePatterns

(

RewritePatternSet &

patterns

)

Collects a set of patterns to rewrite ops within the Shape dialect.

Definition at line 81 of file ShapeToShapeLowering.cpp.

References patterns.

populateShapeToStandardConversionPatterns()

void mlir::populateShapeToStandardConversionPatterns

(

RewritePatternSet &

patterns

)

Definition at line 708 of file ShapeToStandard.cpp.

References patterns.

populateSparseAssembler()

void mlir::populateSparseAssembler	(	RewritePatternSet &	patterns,
		bool	directOut
	)

Definition at line 250 of file SparseAssembler.cpp.

References patterns.

populateSparseBufferRewriting()

void mlir::populateSparseBufferRewriting	(	RewritePatternSet &	patterns,
		bool	enableBufferInitialization
	)

Definition at line 1425 of file SparseBufferRewriting.cpp.

References patterns.

populateSparseGPUCodegenPatterns()

void mlir::populateSparseGPUCodegenPatterns	(	RewritePatternSet &	patterns,
		unsigned	numThreads
	)

Definition at line 1325 of file SparseGPUCodegen.cpp.

References patterns.

populateSparseGPULibgenPatterns()

void mlir::populateSparseGPULibgenPatterns	(	RewritePatternSet &	patterns,
		bool	enableRT
	)

Definition at line 1330 of file SparseGPUCodegen.cpp.

References patterns.

populateSparseReinterpretMap()

void mlir::populateSparseReinterpretMap	(	RewritePatternSet &	patterns,
		ReinterpretMapScope	scope
	)

Definition at line 790 of file SparseReinterpretMap.cpp.

References kAll, kExceptGeneric, kGenericOnly, and patterns.

populateSparseTensorCodegenPatterns()

void mlir::populateSparseTensorCodegenPatterns	(	const TypeConverter &	typeConverter,
		RewritePatternSet &	patterns,
		bool	createSparseDeallocs,
		bool	enableBufferInitialization
	)

Sets up sparse tensor codegen rules.

Populates the given patterns list with conversion rules required for the sparsification of linear algebra operations.

Definition at line 1616 of file SparseTensorCodegen.cpp.

References patterns.

populateSparseTensorConversionPatterns()

void mlir::populateSparseTensorConversionPatterns	(	const TypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Sets up sparse tensor conversion rules.

Populates the given patterns list with conversion rules required for the sparsification of linear algebra operations.

Definition at line 912 of file SparseTensorConversion.cpp.

References patterns.

populateSparseVectorizationPatterns()

void mlir::populateSparseVectorizationPatterns	(	RewritePatternSet &	patterns,
		unsigned	vectorLength,
		bool	enableVLAVectorization,
		bool	enableSIMDIndex32
	)

Populates the given patterns list with vectorization rules.

Definition at line 663 of file SparseVectorization.cpp.

References patterns, and mlir::vector::populateVectorStepLoweringPatterns().

populateSparsificationPatterns()

void mlir::populateSparsificationPatterns	(	RewritePatternSet &	patterns,
		const SparsificationOptions &	options = SparsificationOptions()
	)

Sets up sparsification rewriting rules with the given options.

Populates the given patterns list with rewriting rules required for the sparsification of linear algebra operations.

Definition at line 1486 of file Sparsification.cpp.

References options, and patterns.

populateSPIRVToLLVMConversionPatterns()

void mlir::populateSPIRVToLLVMConversionPatterns	(	const LLVMTypeConverter &	typeConverter,
		RewritePatternSet &	patterns,
		spirv::ClientAPI	clientAPIForAddressSpaceMapping = spirv::ClientAPI::Unknown
	)

Populates the given list with patterns that convert from SPIR-V to LLVM.

Definition at line 1809 of file SPIRVToLLVM.cpp.

References patterns.

populateSPIRVToLLVMFunctionConversionPatterns()

void mlir::populateSPIRVToLLVMFunctionConversionPatterns	(	const LLVMTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Populates the given list with patterns for function conversion from SPIR-V to LLVM.

Definition at line 1975 of file SPIRVToLLVM.cpp.

References patterns.

populateSPIRVToLLVMModuleConversionPatterns()

void mlir::populateSPIRVToLLVMModuleConversionPatterns	(	const LLVMTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Populates the given patterns for module conversion from SPIR-V to LLVM.

Definition at line 1980 of file SPIRVToLLVM.cpp.

References patterns.

populateSPIRVToLLVMTypeConversion()

void mlir::populateSPIRVToLLVMTypeConversion	(	LLVMTypeConverter &	typeConverter,
		spirv::ClientAPI	clientAPIForAddressSpaceMapping = spirv::ClientAPI::Unknown
	)

Populates type conversions with additional SPIR-V types.

Definition at line 1793 of file SPIRVToLLVM.cpp.

References mlir::TypeConverter::addConversion(), convertArrayType(), convertPointerType(), convertRuntimeArrayType(), and convertStructType().

populateStageSparseOperationsPatterns()

void mlir::populateStageSparseOperationsPatterns

(

RewritePatternSet &

patterns

)

Sets up StageSparseOperation rewriting rules.

Definition at line 71 of file StageSparseOperations.cpp.

References patterns.

populateStorageSpecifierToLLVMPatterns()

void mlir::populateStorageSpecifierToLLVMPatterns	(	const TypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Definition at line 353 of file SparseStorageSpecifierToLLVM.cpp.

References patterns.

populateTensorToLinalgPatterns()

void mlir::populateTensorToLinalgPatterns

(

RewritePatternSet &

patterns

)

Appends to a pattern list additional patterns for translating tensor ops to Linalg ops.

Definition at line 27 of file TensorToLinalg.cpp.

References patterns.

populateTensorToSPIRVPatterns()

void mlir::populateTensorToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		int64_t	byteCountThreshold,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating tensor ops to SPIR-V ops.

Note: Normally tensors will be stored in buffers before converting to SPIR-V, given that is how a large amount of data is sent to the GPU. However, SPIR-V supports converting from tensors directly too. This is for the cases where the tensor just contains a small amount of elements and it makes sense to directly inline them as a small data array in the shader. To handle this, internally the conversion might create new local variables. SPIR-V consumers in GPU drivers may or may not optimize that away. So this has implications over register pressure. Therefore, a threshold is used to control when the patterns should kick in.

Definition at line 106 of file TensorToSPIRV.cpp.

References patterns.

populateUpliftToFMAPatterns()

void mlir::populateUpliftToFMAPatterns

(

RewritePatternSet &

patterns

)

Definition at line 76 of file UpliftToFMA.cpp.

References patterns.

populateVectorReductionToSPIRVDotProductPatterns()

void mlir::populateVectorReductionToSPIRVDotProductPatterns

(

RewritePatternSet &

patterns

)

Appends patterns to convert vector reduction of the form:

vector.reduction <add>, (muli (ext %lhs), (ext %rhs)), [%acc]

to SPIR-V integer dot product ops.

Definition at line 999 of file VectorToSPIRV.cpp.

References patterns.

populateVectorToArmSMEPatterns()

void mlir::populateVectorToArmSMEPatterns	(	RewritePatternSet &	patterns,
		MLIRContext &	ctx
	)

Collect a set of patterns to lower Vector ops to ArmSME ops that map to LLVM intrinsics.

Definition at line 795 of file VectorToArmSME.cpp.

References patterns.

populateVectorToLLVMConversionPatterns()

void mlir::populateVectorToLLVMConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns,
		bool	reassociateFPReductions = false,
		bool	force32BitVectorIndices = false
	)

Collect a set of patterns to convert from the Vector dialect to LLVM.

Populate the given list with patterns that convert from Vector to LLVM.

Definition at line 1906 of file ConvertVectorToLLVM.cpp.

References mlir::LLVMTypeConverter::getDialect(), and patterns.

populateVectorToLLVMMatrixConversionPatterns()

void mlir::populateVectorToLLVMMatrixConversionPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to convert from Vector contractions to LLVM Matrix Intrinsics.

To lower to assembly, the LLVM flag -lower-matrix-intrinsics will be needed when invoking LLVM.

Definition at line 1931 of file ConvertVectorToLLVM.cpp.

References patterns.

populateVectorToSCFConversionPatterns()

void mlir::populateVectorToSCFConversionPatterns	(	RewritePatternSet &	patterns,
		const VectorTransferToSCFOptions &	options = VectorTransferToSCFOptions()
	)

Collect a set of patterns to convert from the Vector dialect to SCF + func.

Definition at line 1684 of file VectorToSCF.cpp.

References options, and patterns.

populateVectorToSPIRVPatterns()

void mlir::populateVectorToSPIRVPatterns	(	const SPIRVTypeConverter &	typeConverter,
		RewritePatternSet &	patterns
	)

Appends to a pattern list additional patterns for translating Vector Ops to SPIR-V ops.

Definition at line 975 of file VectorToSPIRV.cpp.

References patterns.

populateVectorToXeGPUConversionPatterns()

void mlir::populateVectorToXeGPUConversionPatterns

(

RewritePatternSet &

patterns

)

Collect a set of patterns to convert from the vector to XeGPU ops.

Definition at line 328 of file VectorToXeGPU.cpp.

References patterns.

populateX86VectorLegalizeForLLVMExportPatterns()

void mlir::populateX86VectorLegalizeForLLVMExportPatterns	(	const LLVMTypeConverter &	converter,
		RewritePatternSet &	patterns
	)

Collect a set of patterns to lower X86Vector ops to ops that map to LLVM intrinsics.

Populate the given list with patterns that convert from X86Vector to LLVM.

Definition at line 161 of file LegalizeForLLVMExport.cpp.

References patterns.

printDimensionList()

void mlir::printDimensionList	(	OpAsmPrinter &	printer,
		Operation *	op,
		ArrayRef< int64_t >	dimensions
	)

Definition at line 4071 of file AsmPrinter.cpp.

References mlir::AsmPrinter::printDimensionList().

printDynamicIndexList() [1/3]

void mlir::printDynamicIndexList	(	OpAsmPrinter &	printer,
		Operation *	op,
		OperandRange	values,
		ArrayRef< int64_t >	integers,
		ArrayRef< bool >	scalables,
		TypeRange	valueTypes = TypeRange(),
		AsmParser::Delimiter	delimiter = AsmParser::Delimiter::Square
	)

Printer hook for custom directive in assemblyFormat.

custom<DynamicIndexList>($values, $integers) custom<DynamicIndexList>($values, $integers, type($values))

where values is of ODS type Variadic<*> and integers is of ODS type I64ArrayAttr. Prints a list with either (1) the static integer value in integers is kDynamic or (2) the next value otherwise. If valueTypes is non-empty, it is expected to contain as many elements as values indicating their types. This allows idiomatic printing of mixed value and integer attributes in a list. E.g. [arg0 : index, 7, 42, arg42 : i32].

Indices can be scalable. For example, "4" in "[2, [4], 8]" is scalable. This notation is similar to how scalable dims are marked when defining Vectors. For each value in integers, the corresponding bool in scalables encodes whether it's a scalable index. If scalableVals is empty then assume that all indices are non-scalable.

Definition at line 113 of file ViewLikeInterface.cpp.

References getLeftDelimiter(), and getRightDelimiter().

Referenced by printDynamicIndexList(), and mlir::transform::printPackedOrDynamicIndexList().

printDynamicIndexList() [2/3]

void mlir::printDynamicIndexList ( OpAsmPrinter &  printer, Operation *  op, OperandRange  values, ArrayRef< int64_t >  integers, AsmParser::Delimiter  delimiter  )

inline

Definition at line 112 of file ViewLikeInterface.h.

References printDynamicIndexList().

printDynamicIndexList() [3/3]

void mlir::printDynamicIndexList ( OpAsmPrinter &  printer, Operation *  op, OperandRange  values, ArrayRef< int64_t >  integers, TypeRange  valueTypes = TypeRange(), AsmParser::Delimiter  delimiter = AsmParser::Delimiter::Square  )

inline

Definition at line 119 of file ViewLikeInterface.h.

References printDynamicIndexList().

printRegisteredPasses()

void mlir::printRegisteredPasses

(

)

Prints the passes that were previously registered and stored in passRegistry.

Definition at line 73 of file PassRegistry.cpp.

References max(), and passRegistry.

Referenced by printRegisteredPassesAndReturn().

printSemiFunctionType() [1/2]

void mlir::printSemiFunctionType	(	OpAsmPrinter &	printer,
		Operation *	op,
		Type	argumentType,
		Type	resultType,
		bool	resultOptional = true
	)

Definition at line 75 of file Syntax.cpp.

References printSemiFunctionType().

printSemiFunctionType() [2/2]

void mlir::printSemiFunctionType	(	OpAsmPrinter &	printer,
		Operation *	op,
		Type	argumentType,
		TypeRange	resultType
	)

Prints argument and result types in a syntax similar to that of FunctionType but allowing and requiring one to omit the parens around the argument type in absence of result types, and without the trailing -> ().

Definition at line 59 of file Syntax.cpp.

References mlir::AsmPrinter::getStream().

Referenced by printSemiFunctionType().

projectDims()

AffineMap mlir::projectDims	(	AffineMap	map,
		const llvm::SmallBitVector &	projectedDimensions,
		bool	compressDimsFlag = false
	)

Returns the map that results from projecting out the dimensions specified in projectedDimensions.

The projected dimensions are set to 0.

Example: 1) map : affine_map<(d0, d1, d2) -> (d0, d1)> projected_dimensions : {2} result : affine_map<(d0, d1) -> (d0, d1)>

2) map : affine_map<(d0, d1) -> (d0 + d1)> projected_dimensions : {1} result : affine_map<(d0) -> (d0)>

3) map : affine_map<(d0, d1, d2) -> (d0, d1)> projected_dimensions : {1} result : affine_map<(d0, d1) -> (d0, 0)>

This function also compresses the dims when the boolean flag is true.

Definition at line 906 of file AffineMap.cpp.

Referenced by compressDims(), and getProjectedMap().

projectSymbols()

AffineMap mlir::projectSymbols	(	AffineMap	map,
		const llvm::SmallBitVector &	projectedSymbols,
		bool	compressSymbolsFlag = false
	)

Symbol counterpart of projectDims.

This function also compresses the symbols when the boolean flag is true.

Definition at line 913 of file AffineMap.cpp.

Referenced by compressSymbols().

promoteToWorkgroupMemory()

void mlir::promoteToWorkgroupMemory	(	gpu::GPUFuncOp	op,
		unsigned	arg
	)

Promotes a function argument to workgroup memory in the given function.

The copies will be inserted in the beginning and in the end of the function.

readBytecodeFile() [1/2]

LogicalResult mlir::readBytecodeFile	(	const std::shared_ptr< llvm::SourceMgr > &	sourceMgr,
		Block *	block,
		const ParserConfig &	config
	)

An overload with a source manager whose main file buffer is used for parsing.

The lifetime of the source manager may be freely extended during parsing such that the source manager is not destroyed before the parsed IR.

Definition at line 2592 of file BytecodeReader.cpp.

References config, and readBytecodeFileImpl().

readBytecodeFile() [2/2]

LogicalResult mlir::readBytecodeFile	(	llvm::MemoryBufferRef	buffer,
		Block *	block,
		const ParserConfig &	config
	)

Read the operations defined within the given memory buffer, containing MLIR bytecode, into the provided block.

Definition at line 2587 of file BytecodeReader.cpp.

References config, and readBytecodeFileImpl().

readResourceHandle()

template<typename T , typename... Ts>

static LogicalResult mlir::readResourceHandle ( DialectBytecodeReader &  reader, FailureOr< T > &  value, Ts &&...  params  )

static

Helper for resource handle reading that returns LogicalResult.

Definition at line 494 of file BytecodeImplementation.h.

References mlir::DialectBytecodeReader::readResourceHandle().

reconcileUnrealizedCasts()

void mlir::reconcileUnrealizedCasts	(	ArrayRef< UnrealizedConversionCastOp >	castOps,
		SmallVectorImpl< UnrealizedConversionCastOp > *	remainingCastOps = nullptr
	)

Try to reconcile all given UnrealizedConversionCastOps and store the left-over ops in remainingCastOps (if provided).

This function processes cast ops in a worklist-driven fashion. For each cast op, if the chain of input casts eventually reaches a cast op where the input types match the output types of the matched op, replace the matched op with the inputs.

Example: %1 = unrealized_conversion_cast %0 : !A to !B %2 = unrealized_conversion_cast %1 : !B to !C %3 = unrealized_conversion_cast %2 : !C to !A

In the above example, %0 can be used instead of %3 and all cast ops are folded away.

Definition at line 2762 of file DialectConversion.cpp.

Referenced by mlir::OperationConverter::convertOperations().

registerAllDialects() [1/2]

void mlir::registerAllDialects ( DialectRegistry &  registry )

inline

Add all the MLIR dialects to the provided registry.

Definition at line 106 of file InitAllDialects.h.

References mlir::DialectRegistry::insert(), mlir::linalg::registerAllDialectInterfaceImplementations(), mlir::memref::registerAllocationOpInterfaceExternalModels(), mlir::arith::registerBufferDeallocationOpInterfaceExternalModels(), mlir::cf::registerBufferDeallocationOpInterfaceExternalModels(), mlir::gpu::registerBufferDeallocationOpInterfaceExternalModels(), mlir::scf::registerBufferDeallocationOpInterfaceExternalModels(), mlir::arith::registerBufferizableOpInterfaceExternalModels(), mlir::bufferization::func_ext::registerBufferizableOpInterfaceExternalModels(), mlir::cf::registerBufferizableOpInterfaceExternalModels(), mlir::scf::registerBufferizableOpInterfaceExternalModels(), mlir::shape::registerBufferizableOpInterfaceExternalModels(), mlir::sparse_tensor::registerBufferizableOpInterfaceExternalModels(), mlir::tensor::registerBufferizableOpInterfaceExternalModels(), mlir::vector::registerBufferizableOpInterfaceExternalModels(), mlir::ml_program::registerBufferizableOpInterfaceExternalModels(), mlir::arith::registerBufferViewFlowOpInterfaceExternalModels(), mlir::memref::registerBufferViewFlowOpInterfaceExternalModels(), mlir::builtin::registerCastOpInterfaceExternalModels(), mlir::tensor::registerFindPayloadReplacementOpInterfaceExternalModels(), mlir::tensor::registerInferTypeOpInterfaceExternalModels(), mlir::LLVM::registerInlinerInterface(), mlir::memref::registerMemorySlotExternalModels(), mlir::NVVM::registerNVVMTargetInterfaceExternalModels(), mlir::ROCDL::registerROCDLTargetInterfaceExternalModels(), mlir::linalg::registerRuntimeVerifiableOpInterfaceExternalModels(), mlir::memref::registerRuntimeVerifiableOpInterfaceExternalModels(), mlir::tosa::registerShardingInterfaceExternalModels(), mlir::spirv::registerSPIRVTargetInterfaceExternalModels(), mlir::tensor::registerSubsetOpInterfaceExternalModels(), mlir::vector::registerSubsetOpInterfaceExternalModels(), mlir::tensor::registerTilingInterfaceExternalModels(), mlir::affine::registerValueBoundsOpInterfaceExternalModels(), mlir::arith::registerValueBoundsOpInterfaceExternalModels(), mlir::memref::registerValueBoundsOpInterfaceExternalModels(), mlir::scf::registerValueBoundsOpInterfaceExternalModels(), mlir::tensor::registerValueBoundsOpInterfaceExternalModels(), and mlir::vector::registerValueBoundsOpInterfaceExternalModels().

Referenced by mlirRegisterAllDialects(), and registerAllDialects().

registerAllDialects() [2/2]

void mlir::registerAllDialects ( MLIRContext &  context )

inline

Append all the MLIR dialects to the registry contained in the given context.

Definition at line 197 of file InitAllDialects.h.

References mlir::MLIRContext::appendDialectRegistry(), and registerAllDialects().

registerAllExtensions()

void mlir::registerAllExtensions ( DialectRegistry &  registry )

inline

This function may be called to register all MLIR dialect extensions with the provided registry.

If you're building a compiler, you generally shouldn't use this: you would individually register the specific extensions that are useful for the pipelines and transformations you are using.

Definition at line 62 of file InitAllExtensions.h.

References mlir::func::registerAllExtensions(), mlir::tensor::registerAllExtensions(), registerConvertAMXToLLVMInterface(), mlir::arith::registerConvertArithToLLVMInterface(), registerConvertComplexToLLVMInterface(), mlir::cf::registerConvertControlFlowToLLVMInterface(), registerConvertFuncToLLVMInterface(), mlir::gpu::registerConvertGpuToLLVMInterface(), mlir::NVVM::registerConvertGpuToNVVMInterface(), mlir::index::registerConvertIndexToLLVMInterface(), registerConvertMathToLLVMInterface(), registerConvertMemRefToLLVMInterface(), registerConvertNVVMToLLVMInterface(), registerConvertOpenMPToLLVMInterface(), mlir::ub::registerConvertUBToLLVMInterface(), mlir::transform::registerDebugExtension(), mlir::transform::registerIRDLExtension(), mlir::transform::registerLoopExtension(), mlir::transform::registerPDLExtension(), mlir::affine::registerTransformDialectExtension(), mlir::bufferization::registerTransformDialectExtension(), mlir::dlti::registerTransformDialectExtension(), mlir::func::registerTransformDialectExtension(), mlir::gpu::registerTransformDialectExtension(), mlir::linalg::registerTransformDialectExtension(), mlir::memref::registerTransformDialectExtension(), mlir::nvgpu::registerTransformDialectExtension(), mlir::scf::registerTransformDialectExtension(), mlir::sparse_tensor::registerTransformDialectExtension(), mlir::tensor::registerTransformDialectExtension(), and mlir::vector::registerTransformDialectExtension().

Referenced by mlirRegisterAllDialects().

registerAllFromLLVMIRTranslations()

static void mlir::registerAllFromLLVMIRTranslations ( DialectRegistry &  registry )

inlinestatic

Registers all dialects that can be translated from LLVM IR and the corresponding translation interfaces.

Definition at line 78 of file All.h.

References registerLLVMDialectImport(), and registerNVVMDialectImport().

Referenced by registerFromLLVMIRTranslation().

registerAllGPUToLLVMIRTranslations()

static void mlir::registerAllGPUToLLVMIRTranslations ( DialectRegistry &  registry )

inlinestatic

Registers all the translations to LLVM IR required by GPU passes.

TODO: Remove this function when a safe dialect interface registration mechanism is implemented, see D157703.

Definition at line 63 of file All.h.

References registerBuiltinDialectTranslation(), registerGPUDialectTranslation(), registerLLVMDialectTranslation(), registerNVVMDialectTranslation(), mlir::gpu::registerOffloadingLLVMTranslationInterfaceExternalModels(), registerROCDLDialectTranslation(), and registerSPIRVDialectTranslation().

registerAllPasses()

void mlir::registerAllPasses ( )

inline

Definition at line 62 of file InitAllPasses.h.

References mlir::bufferization::registerBufferizationPipelines(), mlir::gpu::registerGPUToNVVMPipeline(), mlir::sparse_tensor::registerSparseTensorPipelines(), and mlir::tosa::registerTosaToLinalgPipelines().

Referenced by mlirRegisterAllPasses().

registerAllToLLVMIRTranslations()

static void mlir::registerAllToLLVMIRTranslations ( DialectRegistry &  registry )

inlinestatic

Registers all dialects that can be translated to LLVM IR and the corresponding translation interfaces.

Definition at line 39 of file All.h.

References registerAMXDialectTranslation(), registerArmNeonDialectTranslation(), registerArmSMEDialectTranslation(), registerArmSVEDialectTranslation(), registerBuiltinDialectTranslation(), registerGPUDialectTranslation(), registerLLVMDialectTranslation(), registerNVVMDialectTranslation(), mlir::gpu::registerOffloadingLLVMTranslationInterfaceExternalModels(), registerOpenACCDialectTranslation(), registerOpenMPDialectTranslation(), registerROCDLDialectTranslation(), registerSPIRVDialectTranslation(), registerVCIXDialectTranslation(), and registerX86VectorDialectTranslation().

Referenced by mlirRegisterAllLLVMTranslations(), and registerToLLVMIRTranslation().

registerAllTranslations()

void mlir::registerAllTranslations ( )

inline

Definition at line 28 of file InitAllTranslations.h.

References registerFromLLVMIRTranslation(), registerFromSPIRVTranslation(), registerToCppTranslation(), registerToLLVMIRTranslation(), and registerToSPIRVTranslation().

registerAMXDialectTranslation() [1/2]

void mlir::registerAMXDialectTranslation

(

DialectRegistry &

registry

)

Register the AMX dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 45 of file AMXToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllToLLVMIRTranslations(), and registerAMXDialectTranslation().

registerAMXDialectTranslation() [2/2]

void mlir::registerAMXDialectTranslation

(

MLIRContext &

context

)

Register the AMX dialect and the translation from it in the registry associated with the given context.

Definition at line 52 of file AMXToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerAMXDialectTranslation().

registerAndParseCLIOptions()

std::pair< std::string, std::string > mlir::registerAndParseCLIOptions	(	int	argc,
		char **	argv,
		llvm::StringRef	toolName,
		DialectRegistry &	registry
	)

Register and parse command line options.

• toolName is used for the header displayed by --help.
• registry should contain all the dialects that can be parsed in the source.
• return std::pair<std::string, std::string> for inputFilename and outputFilename command line option values.

Definition at line 558 of file MlirOptMain.cpp.

References mlir::DialectRegistry::getDialectNames(), registerAsmPrinterCLOptions(), mlir::tracing::DebugCounter::registerCLOptions(), mlir::MlirOptMainConfig::registerCLOptions(), registerDefaultTimingManagerCLOptions(), registerMLIRContextCLOptions(), and registerPassManagerCLOptions().

Referenced by MlirOptMain().

registerArmNeonDialectTranslation() [1/2]

void mlir::registerArmNeonDialectTranslation

(

DialectRegistry &

registry

)

Register the ArmNeon dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 46 of file ArmNeonToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllToLLVMIRTranslations(), and registerArmNeonDialectTranslation().

registerArmNeonDialectTranslation() [2/2]

void mlir::registerArmNeonDialectTranslation

(

MLIRContext &

context

)

Register the ArmNeon dialect and the translation from it in the registry associated with the given context.

Definition at line 54 of file ArmNeonToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerArmNeonDialectTranslation().

registerArmSMEDialectTranslation() [1/2]

void mlir::registerArmSMEDialectTranslation

(

DialectRegistry &

registry

)

Register the ArmSME dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 46 of file ArmSMEToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllToLLVMIRTranslations(), and registerArmSMEDialectTranslation().

registerArmSMEDialectTranslation() [2/2]

void mlir::registerArmSMEDialectTranslation

(

MLIRContext &

context

)

Register the ArmSME dialect and the translation from it in the registry associated with the given context.

Definition at line 53 of file ArmSMEToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerArmSMEDialectTranslation().

registerArmSVEDialectTranslation() [1/2]

void mlir::registerArmSVEDialectTranslation

(

DialectRegistry &

registry

)

Register the ArmSVE dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 45 of file ArmSVEToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllToLLVMIRTranslations(), and registerArmSVEDialectTranslation().

registerArmSVEDialectTranslation() [2/2]

void mlir::registerArmSVEDialectTranslation

(

MLIRContext &

context

)

Register the ArmSVE dialect and the translation from it in the registry associated with the given context.

Definition at line 52 of file ArmSVEToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerArmSVEDialectTranslation().

registerAsmPrinterCLOptions()

void mlir::registerAsmPrinterCLOptions

(

)

Register a set of useful command-line options that can be used to configure various flags within the AsmPrinter.

Definition at line 210 of file AsmPrinter.cpp.

References clOptions.

Referenced by registerAndParseCLIOptions().

registerBuiltinDialectTranslation() [1/2]

void mlir::registerBuiltinDialectTranslation

(

DialectRegistry &

registry

)

Register the translation from the builtin dialect to the LLVM IR in the given registry.

Definition at line 36 of file BuiltinToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by mlirExecutionEngineCreate(), registerAllGPUToLLVMIRTranslations(), registerAllToLLVMIRTranslations(), and registerBuiltinDialectTranslation().

registerBuiltinDialectTranslation() [2/2]

void mlir::registerBuiltinDialectTranslation

(

MLIRContext &

context

)

Register the translation from the builtin dialect in the registry associated with the given context.

Definition at line 42 of file BuiltinToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerBuiltinDialectTranslation().

registerConversionPDLFunctions()

void mlir::registerConversionPDLFunctions

(

RewritePatternSet &

patterns

)

Register the dialect conversion PDL functions with the given pattern set.

Definition at line 3348 of file DialectConversion.cpp.

References mlir::TypeConverter::convertType(), mlir::TypeConverter::convertTypes(), mlir::detail::ConversionPatternRewriterImpl::currentTypeConverter, patterns, and pdllConvertValues().

registerConvertAMXToLLVMInterface()

void mlir::registerConvertAMXToLLVMInterface

(

DialectRegistry &

registry

)

Register LLVM conversion interface for AMX dialect.

Definition at line 241 of file LegalizeForLLVMExport.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by registerAllExtensions().

registerConvertComplexToLLVMInterface()

void mlir::registerConvertComplexToLLVMInterface

(

DialectRegistry &

registry

)

Definition at line 386 of file ComplexToLLVM.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by registerAllExtensions().

registerConvertFuncToLLVMInterface()

void mlir::registerConvertFuncToLLVMInterface

(

DialectRegistry &

registry

)

Definition at line 833 of file FuncToLLVM.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by registerAllExtensions().

registerConvertMathToLLVMInterface()

void mlir::registerConvertMathToLLVMInterface

(

DialectRegistry &

registry

)

Definition at line 358 of file MathToLLVM.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by registerAllExtensions().

registerConvertMemRefToLLVMInterface()

void mlir::registerConvertMemRefToLLVMInterface

(

DialectRegistry &

registry

)

Definition at line 1748 of file MemRefToLLVM.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by registerAllExtensions().

registerConvertNVVMToLLVMInterface()

void mlir::registerConvertNVVMToLLVMInterface

(

DialectRegistry &

registry

)

Definition at line 115 of file NVVMToLLVM.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by registerAllExtensions().

registerConvertOpenMPToLLVMInterface()

void mlir::registerConvertOpenMPToLLVMInterface

(

DialectRegistry &

registry

)

Registers the ConvertToLLVMPatternInterface interface in the OpenMP dialect.

Definition at line 341 of file OpenMPToLLVM.cpp.

References mlir::DialectRegistry::addExtension().

Referenced by registerAllExtensions().

registerConvertToLLVMDependentDialectLoading()

void mlir::registerConvertToLLVMDependentDialectLoading

(

DialectRegistry &

registry

)

Register the extension that will load dependent dialects for LLVM conversion.

This is useful to implement a pass similar to "convert-to-llvm".

Definition at line 279 of file ConvertToLLVMPass.cpp.

References mlir::DialectRegistry::addExtensions().

registerDefaultTimingManagerCLOptions()

void mlir::registerDefaultTimingManagerCLOptions

(

)

Register a set of useful command-line options that can be used to configure a DefaultTimingManager.

The values of these options can be applied via the applyDefaultTimingManagerCLOptions method.

Definition at line 614 of file Timing.cpp.

References options.

Referenced by registerAndParseCLIOptions().

registerFromLLVMIRTranslation()

void mlir::registerFromLLVMIRTranslation

(

)

Definition at line 27 of file ConvertFromLLVMIR.cpp.

References emitError(), get(), registerAllFromLLVMIRTranslations(), and translateLLVMIRToModule().

Referenced by registerAllTranslations().

registerFromSPIRVTranslation()

void mlir::registerFromSPIRVTranslation

(

)

Definition at line 58 of file TranslateRegistration.cpp.

References deserializeModule().

Referenced by registerAllTranslations().

registerGPUDialectTranslation() [1/2]

void mlir::registerGPUDialectTranslation

(

DialectRegistry &

registry

)

Register the GPU dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 66 of file GPUToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllGPUToLLVMIRTranslations(), registerAllToLLVMIRTranslations(), and registerGPUDialectTranslation().

registerGPUDialectTranslation() [2/2]

void mlir::registerGPUDialectTranslation

(

MLIRContext &

context

)

Register the GPU dialect and the translation from it in the registry associated with the given context.

Definition at line 73 of file GPUToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerGPUDialectTranslation().

registerLLVMDialectImport() [1/2]

void mlir::registerLLVMDialectImport

(

DialectRegistry &

registry

)

Registers the LLVM dialect and its import from LLVM IR in the given registry.

Definition at line 434 of file LLVMIRToLLVMTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllFromLLVMIRTranslations(), and registerLLVMDialectImport().

registerLLVMDialectImport() [2/2]

void mlir::registerLLVMDialectImport

(

MLIRContext &

context

)

Registers the LLVM dialect and its import from LLVM IR with the given context.

Definition at line 441 of file LLVMIRToLLVMTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerLLVMDialectImport().

registerLLVMDialectTranslation() [1/2]

void mlir::registerLLVMDialectTranslation

(

DialectRegistry &

registry

)

Register the LLVM dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 483 of file LLVMToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by mlirExecutionEngineCreate(), registerAllGPUToLLVMIRTranslations(), registerAllToLLVMIRTranslations(), and registerLLVMDialectTranslation().

registerLLVMDialectTranslation() [2/2]

void mlir::registerLLVMDialectTranslation

(

MLIRContext &

context

)

Register the LLVM dialect and the translation from it in the registry associated with the given context.

Definition at line 490 of file LLVMToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerLLVMDialectTranslation().

registerMLIRContextCLOptions()

void mlir::registerMLIRContextCLOptions

(

)

Register a set of useful command-line options that can be used to configure various flags within the MLIRContext.

These flags are used when constructing an MLIR context for initialization.

Definition at line 90 of file MLIRContext.cpp.

References clOptions.

Referenced by registerAndParseCLIOptions().

registerNVVMDialectImport() [1/2]

void mlir::registerNVVMDialectImport

(

DialectRegistry &

registry

)

Registers the NVVM dialect and its import from LLVM IR in the given registry.

Definition at line 89 of file LLVMIRToNVVMTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllFromLLVMIRTranslations(), and registerNVVMDialectImport().

registerNVVMDialectImport() [2/2]

void mlir::registerNVVMDialectImport

(

MLIRContext &

context

)

Registers the NVVM dialect and its import from LLVM IR with the given context.

Definition at line 96 of file LLVMIRToNVVMTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerNVVMDialectImport().

registerNVVMDialectTranslation() [1/2]

void mlir::registerNVVMDialectTranslation

(

DialectRegistry &

registry

)

Register the NVVM dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 311 of file NVVMToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllGPUToLLVMIRTranslations(), registerAllToLLVMIRTranslations(), and registerNVVMDialectTranslation().

registerNVVMDialectTranslation() [2/2]

void mlir::registerNVVMDialectTranslation

(

MLIRContext &

context

)

Register the NVVM dialect and the translation from it in the registry associated with the given context.

Definition at line 318 of file NVVMToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerNVVMDialectTranslation().

registerOpenACCDialectTranslation() [1/2]

void mlir::registerOpenACCDialectTranslation

(

DialectRegistry &

registry

)

Register the OpenACC dialect and the translation to the LLVM IR in the given registry;.

Definition at line 533 of file OpenACCToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllToLLVMIRTranslations(), and registerOpenACCDialectTranslation().

registerOpenACCDialectTranslation() [2/2]

void mlir::registerOpenACCDialectTranslation

(

MLIRContext &

context

)

Register the OpenACC dialect and the translation in the registry associated with the given context.

Definition at line 540 of file OpenACCToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerOpenACCDialectTranslation().

registerOpenMPDialectTranslation() [1/2]

void mlir::registerOpenMPDialectTranslation

(

DialectRegistry &

registry

)

Register the OpenMP dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 4516 of file OpenMPToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by mlirExecutionEngineCreate(), registerAllToLLVMIRTranslations(), and registerOpenMPDialectTranslation().

registerOpenMPDialectTranslation() [2/2]

void mlir::registerOpenMPDialectTranslation

(

MLIRContext &

context

)

Register the OpenMP dialect and the translation from it in the registry associated with the given context.

Definition at line 4523 of file OpenMPToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerOpenMPDialectTranslation().

registerPass()

void mlir::registerPass

(

const PassAllocatorFunction &

function

)

Register a specific dialect pass allocator function with the system, typically used through the PassRegistration template.

Definition at line 150 of file PassRegistry.cpp.

References passRegistry, and passRegistryTypeIDs.

Referenced by mlir::PassRegistration< ConcretePass >::PassRegistration().

registerPassManagerCLOptions()

void mlir::registerPassManagerCLOptions

(

)

Register a set of useful command-line options that can be used to configure a pass manager.

The values of these options can be applied via the 'applyPassManagerCLOptions' method below.

Definition at line 140 of file PassManagerOptions.cpp.

References options.

Referenced by registerAndParseCLIOptions().

registerPassPipeline()

void mlir::registerPassPipeline	(	StringRef	arg,
		StringRef	description,
		const PassRegistryFunction &	function,
		std::function< void(function_ref< void(const detail::PassOptions &)>)>	optHandler
	)

Register a specific dialect pipeline registry function with the system, typically used through the PassPipelineRegistration template.

Referenced by mlir::PassPipelineRegistration< EmptyPipelineOptions >::PassPipelineRegistration(), and mlir::PassPipelineRegistration< Options >::PassPipelineRegistration().

registerROCDLDialectTranslation() [1/2]

void mlir::registerROCDLDialectTranslation

(

DialectRegistry &

registry

)

Register the ROCDL dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 243 of file ROCDLToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllGPUToLLVMIRTranslations(), registerAllToLLVMIRTranslations(), and registerROCDLDialectTranslation().

registerROCDLDialectTranslation() [2/2]

void mlir::registerROCDLDialectTranslation

(

MLIRContext &

context

)

Register the ROCDL dialect and the translation from it in the registry associated with the given context.

Definition at line 250 of file ROCDLToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerROCDLDialectTranslation().

registerSPIRVDialectTranslation() [1/2]

void mlir::registerSPIRVDialectTranslation

(

DialectRegistry &

registry

)

Register the SPIR-V dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 23 of file SPIRVToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::insert().

Referenced by registerAllGPUToLLVMIRTranslations(), registerAllToLLVMIRTranslations(), and registerSPIRVDialectTranslation().

registerSPIRVDialectTranslation() [2/2]

void mlir::registerSPIRVDialectTranslation

(

MLIRContext &

context

)

Register the SPIR-V dialect and the translation from it in the registry associated with the given context.

Definition at line 27 of file SPIRVToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerSPIRVDialectTranslation().

registerTestRoundtripDebugSPIRV()

void mlir::registerTestRoundtripDebugSPIRV

(

)

Definition at line 137 of file TranslateRegistration.cpp.

References roundTripModule().

registerTestRoundtripSPIRV()

void mlir::registerTestRoundtripSPIRV

(

)

Definition at line 126 of file TranslateRegistration.cpp.

References roundTripModule().

registerToCppTranslation()

void mlir::registerToCppTranslation

(

)

Definition at line 26 of file TranslateRegistration.cpp.

References mlir::emitc::translateToCpp().

Referenced by registerAllTranslations().

registerToLLVMIRTranslation()

void mlir::registerToLLVMIRTranslation

(

)

Definition at line 28 of file ConvertToLLVMIR.cpp.

References registerAllToLLVMIRTranslations(), translateModuleToLLVMIR(), and WriteNewDbgInfoFormat.

Referenced by registerAllTranslations().

registerToSPIRVTranslation()

void mlir::registerToSPIRVTranslation

(

)

Definition at line 86 of file TranslateRegistration.cpp.

References serializeModule().

Referenced by registerAllTranslations().

registerTranslationCLOptions()

void mlir::registerTranslationCLOptions

(

)

Register command-line options used by the translation registry.

Definition at line 39 of file Translation.cpp.

References clOptions.

registerVCIXDialectTranslation() [1/2]

void mlir::registerVCIXDialectTranslation

(

DialectRegistry &

registry

)

Register the VCIX dialect and the translation from it to the LLVM IR in the given registry.

Definition at line 77 of file VCIXToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllToLLVMIRTranslations(), and registerVCIXDialectTranslation().

registerVCIXDialectTranslation() [2/2]

void mlir::registerVCIXDialectTranslation

(

MLIRContext &

context

)

Register the VCIX dialect and the translation from it in the registry associated with the given context.

Definition at line 84 of file VCIXToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerVCIXDialectTranslation().

registerX86VectorDialectTranslation() [1/2]

void mlir::registerX86VectorDialectTranslation

(

DialectRegistry &

registry

)

Register the X86Vector dialect and the translation from it to the LLVM IR in the given registry;.

Definition at line 46 of file X86VectorToLLVMIRTranslation.cpp.

References mlir::DialectRegistry::addExtension(), and mlir::DialectRegistry::insert().

Referenced by registerAllToLLVMIRTranslations(), and registerX86VectorDialectTranslation().

registerX86VectorDialectTranslation() [2/2]

void mlir::registerX86VectorDialectTranslation

(

MLIRContext &

context

)

Register the X86Vector dialect and the translation from it in the registry associated with the given context.

Definition at line 54 of file X86VectorToLLVMIRTranslation.cpp.

References mlir::MLIRContext::appendDialectRegistry(), and registerX86VectorDialectTranslation().

reifyResultShapes()

LogicalResult mlir::reifyResultShapes	(	OpBuilder &	b,
		Operation *	op,
		ReifiedRankedShapedTypeDims &	reifiedReturnShapes
	)

Reify the shape of the result of an operation (typically in terms of the shape of its operands).

Definition at line 26 of file InferTypeOpInterface.cpp.

References mlir::Operation::getResults().

Referenced by mlir::bufferization::allocateTensorForShapedValue(), mlir::tensor::ExtractSliceFromCollapseHelper::create(), mlir::tensor::getOrCreateDestination(), reifyOrComputeDynamicSizes(), mlir::linalg::rewriteAsPaddedOp(), and mlir::linalg::rewriteInDestinationPassingStyle().

removeDuplicateExprs()

AffineMap mlir::removeDuplicateExprs

(

AffineMap

map

)

Returns a map with the same dimension and symbol count as map, but whose results are the unique affine expressions of map.

Definition at line 783 of file AffineMap.cpp.

References mlir::AffineMap::get(), mlir::AffineMap::getContext(), mlir::AffineMap::getNumDims(), mlir::AffineMap::getNumSymbols(), and mlir::AffineMap::getResults().

Referenced by canonicalizeLoopBounds(), and mlir::affine::createCanonicalizedAffineForOp().

replaceAllUsesInRegionWith()

void mlir::replaceAllUsesInRegionWith	(	Value	orig,
		Value	replacement,
		Region &	region
	)

Replace all uses of orig within the given region with replacement.

Definition at line 32 of file RegionUtils.cpp.

References mlir::Value::getUses(), and mlir::Region::isAncestor().

Referenced by mlir::async::cloneConstantsIntoTheRegion(), mlir::affine::coalesceLoops(), collapseParallelLoops(), sinkOperationsIntoLaunchOp(), and stripmineSink().

replaceLoopNestWithNewYields()

SmallVector< scf::ForOp > mlir::replaceLoopNestWithNewYields	(	RewriterBase &	rewriter,
		MutableArrayRef< scf::ForOp >	loopNest,
		ValueRange	newIterOperands,
		const NewYieldValuesFn &	newYieldValuesFn,
		bool	replaceIterOperandsUsesInLoop = true
	)

Update a perfectly nested loop nest to yield new values from the innermost loop and propagating it up through the loop nest.

This function

• Expects loopNest to be a perfectly nested loop with outer most loop first and innermost loop last.
• newIterOperands are the initialization values to be used for the outermost loop
• newYielValueFn is the callback that generates the new values to be yielded from within the innermost loop.
• The original loops are not erased, but are left in a "no-op" state where the body of the loop just yields the basic block arguments that correspond to the initialization values of a loop. The original loops are dead after this method.
• If replaceIterOperandsUsesInLoop is true, all uses of the newIterOperands within the generated new loop are replaced with the corresponding BlockArgument in the loop body.

Definition at line 40 of file Utils.cpp.

reshapeLikeShapesAreCompatible()

LogicalResult mlir::reshapeLikeShapesAreCompatible	(	function_ref< LogicalResult(const Twine &)>	emitError,
		ArrayRef< int64_t >	collapsedShape,
		ArrayRef< int64_t >	expandedShape,
		ArrayRef< ReassociationIndices >	reassociationMaps,
		bool	isExpandingReshape
	)

Verify that shapes of the reshaped types using following rule: if a dimension in the collapsed type is static, then the corresponding dimensions in the expanded shape should be a) static b) the product should be same as the collaped shape.

Definition at line 227 of file ReshapeOpsUtils.cpp.

References emitError(), and mlir::detail::enumerate().

Referenced by verifyReshapeLikeTypes().

runRegionDCE()

LogicalResult mlir::runRegionDCE	(	RewriterBase &	rewriter,
		MutableArrayRef< Region >	regions
	)

This function returns success if any operations or arguments were deleted, failure otherwise.

Definition at line 470 of file RegionUtils.cpp.

References deleteDeadness(), and propagateLiveness().

Referenced by simplifyRegions().

setupDebuggerExecutionContextHook()

void mlir::setupDebuggerExecutionContextHook

(

tracing::ExecutionContext &

executionContext

)

Definition at line 361 of file DebuggerExecutionContextHook.cpp.

References debuggerCallBackFunction(), and mlir::tracing::ExecutionContext::setCallback().

Referenced by mlir::tracing::InstallDebugHandler::Impl::Impl().

simplifyAffineExpr()

AffineExpr mlir::simplifyAffineExpr	(	AffineExpr	expr,
		unsigned	numDims,
		unsigned	numSymbols
	)

Simplify an affine expression by flattening and some amount of simple analysis.

Simplify the affine expression by flattening it and reconstructing it.

This has complexity linear in the number of nodes in 'expr'. Returns the simplified expression, which is the same as the input expression if it can't be simplified. When expr is semi-affine, a simplified semi-affine expression is constructed in the sorted order of dimension and symbol positions.

Definition at line 1566 of file AffineExpr.cpp.

References getAffineExprFromFlatForm(), mlir::AffineExpr::getContext(), getSemiAffineExprFromFlatForm(), mlir::AffineExpr::isPureAffine(), mlir::SimpleAffineExprFlattener::localExprs, mlir::SimpleAffineExprFlattener::operandExprStack, simplifySemiAffine(), and mlir::AffineExprVisitor< SubClass, RetTy >::walkPostOrder().

Referenced by createPrivateMemRef(), getConstDifference(), mlir::FlatLinearConstraints::getSliceBounds(), isModOfModSubtraction(), makeCanonicalStridedLayoutExpr(), mlir::affine::reorderOperandsByHoistability(), mlir::MutableAffineMap::simplify(), and simplifyAffineMap().

simplifyAffineMap()

AffineMap mlir::simplifyAffineMap

(

AffineMap

map

)

Simplifies an affine map by simplifying its underlying AffineExpr results.

Definition at line 773 of file AffineMap.cpp.

References mlir::AffineMap::get(), mlir::AffineMap::getContext(), mlir::AffineMap::getNumDims(), mlir::AffineMap::getNumSymbols(), mlir::AffineMap::getResults(), and simplifyAffineExpr().

Referenced by mlir::affine::FlatAffineValueConstraints::addBound(), composeAffineMapAndOperands(), mlir::affine::AffineValueMap::difference(), generatePointWiseCopy(), mlir::affine::MemRefAccess::getAccessMap(), getCleanupLoopLowerBound(), mlir::affine::replaceAllMemRefUsesWith(), and verifyOutputShape().

simplifyRegions()

LogicalResult mlir::simplifyRegions	(	RewriterBase &	rewriter,
		MutableArrayRef< Region >	regions,
		bool	mergeBlocks = true
	)

Run a set of structural simplifications over the given regions.

This includes transformations like unreachable block elimination, dead argument elimination, as well as some other DCE. This function returns success if any of the regions were simplified, failure otherwise. The provided rewriter is used to notify callers of operation and block deletion. Structurally similar blocks will be merged if the mergeBlock argument is true. Note this can lead to merged blocks with extra arguments.

This includes transformations like unreachable block elimination, dead argument elimination, as well as some other DCE. This function returns success if any of the regions were simplified, failure otherwise.

Definition at line 1042 of file RegionUtils.cpp.

References dropRedundantArguments(), eraseUnreachableBlocks(), mergeIdenticalBlocks(), and runRegionDCE().

sinkOperationsIntoLaunchOp()

LogicalResult mlir::sinkOperationsIntoLaunchOp	(	gpu::LaunchOp	launchOp,
		llvm::function_ref< bool(Operation *)>	isSinkingBeneficiary
	)

Sink operations into the launchOp to reduce the number of values that are used within the region of the operation, but defined outside of the region.

Definition at line 123 of file KernelOutlining.cpp.

References mlir::OpBuilder::clone(), extractBeneficiaryOps(), mlir::Operation::getResults(), getUsedValuesDefinedAbove(), and replaceAllUsesInRegionWith().

sortTopologically() [1/2]

bool mlir::sortTopologically	(	Block *	block,
		function_ref< bool(Value, Operation *)>	isOperandReady = nullptr
	)

Given a block, sort its operations in topological order, excluding its terminator if it has one.

This sort is stable.

Definition at line 102 of file TopologicalSortUtils.cpp.

References mlir::Block::back(), mlir::Block::empty(), mlir::Operation::hasTrait(), sortTopologically(), and mlir::Block::without_terminator().

sortTopologically() [2/2]

bool mlir::sortTopologically	(	Block *	block,
		iterator_range< Block::iterator >	ops,
		function_ref< bool(Value, Operation *)>	isOperandReady = nullptr
	)

Given a block, sort a range operations in said block in topological order.

The main purpose is readability of graph regions, potentially faster processing of certain transformations and analyses, or fixing the SSA dominance of blocks that require it after transformations. The function sorts the given operations such that, as much as possible, all users appear after their producers.

For example:

%0 = test.foo
%1 = test.bar %0, %2
%2 = test.baz

Will become:

%0 = test.foo
%1 = test.baz
%2 = test.bar %0, %1

The sort also works on operations with regions and implicit captures. For example:

%0 = test.foo {
  test.baz %1
  %1 = test.bar %2
}
%2 = test.foo

Will become:

%0 = test.foo
%1 = test.foo {
  test.baz %2
  %2 = test.bar %0
}

Note that the sort is not recursive on nested regions. This sort is stable; if the operations are already topologically sorted, nothing changes.

Operations that form cycles are moved to the end of the block in order. If the sort is left with only operations that form a cycle, it breaks the cycle by marking the first encountered operation as ready and moving on.

The function optionally accepts a callback that can be provided by users to virtually break cycles early. It is called on top-level operations in the block with value uses at or below those operations. The function should return true to mark that value as ready to be scheduled.

For example, if isOperandReady is set to always mark edges from foo.A to foo.B as ready, these operations:

%0 = foo.B(%1)
%1 = foo.C(%2)
%2 = foo.A(%0)

Are sorted as:

%0 = foo.A(%2)
%1 = foo.C(%0)
%2 = foo.B(%1)

Definition at line 56 of file TopologicalSortUtils.cpp.

References isOpReady(), and mlir::Operation::moveBefore().

Referenced by sortTopologically().

splitAndProcessBuffer()

LogicalResult mlir::splitAndProcessBuffer	(	std::unique_ptr< llvm::MemoryBuffer >	originalBuffer,
		ChunkBufferHandler	processChunkBuffer,
		raw_ostream &	os,
		llvm::StringRef	inputSplitMarker = kDefaultSplitMarker,
		llvm::StringRef	outputSplitMarker = ""
	)

Splits the specified buffer on a marker (// ----- by default), processes each chunk independently according to the normal processChunkBuffer logic, and writes all results to os.

This is used to allow a large number of small independent tests to be put into a single file. The input split marker is configurable. If it is empty, merging is disabled, which allows for merging split and non-split code paths. Output split markers (//----- by default) followed by a new line character, respectively, are placed between each of the processed output chunks. (The new line character is inserted even if the split marker is empty.)

Definition at line 21 of file ToolUtilities.cpp.

storageClassToAddressSpace()

unsigned mlir::storageClassToAddressSpace	(	spirv::ClientAPI	clientAPI,
		spirv::StorageClass	storageClass
	)

Definition at line 51 of file AttrToLLVMConverter.cpp.

References mlir::gpu::amd::OpenCL.

Referenced by convertPointerType().

structFuncArgTypeConverter()

LogicalResult mlir::structFuncArgTypeConverter	(	const LLVMTypeConverter &	converter,
		Type	type,
		SmallVectorImpl< Type > &	result
	)

Callback to convert function argument types.

Give structFuncArgTypeConverter access to memref-specific functions.

It converts a MemRef function argument to a list of non-aggregate types containing descriptor information, and an UnrankedmemRef function argument to a list containing the rank and a pointer to a descriptor struct.

Definition at line 732 of file TypeConverter.cpp.

References mlir::LLVMTypeConverter::convertType().

TableGenLspServerMain()

LogicalResult mlir::TableGenLspServerMain	(	int	argc,
		char **	argv
	)

Implementation for tools like tblgen-lsp-server.

Definition at line 20 of file TableGenLspServerMain.cpp.

References mlir::lsp::Logger::Debug, mlir::lsp::Delimited, mlir::lsp::Logger::Error, mlir::lsp::Logger::Info, options, mlir::lsp::runTableGenLSPServer(), mlir::lsp::Logger::setLogLevel(), and mlir::lsp::Standard.

thread_safe_nulls()

llvm::raw_ostream & mlir::thread_safe_nulls

(

)

Returns a raw output stream that simply discards the output, but in a thread-safe manner.

Similar to llvm::nulls.

Definition at line 12 of file RawOstreamExtras.cpp.

tile() [1/2]

SmallVector< Loops, 8 > mlir::tile	(	ArrayRef< scf::ForOp >	forOps,
		ArrayRef< Value >	sizes,
		ArrayRef< scf::ForOp >	targets
	)

Performs tiling fo imperfectly nested loops (with interchange) by strip-mining the forOps by sizes and sinking them, in their order of occurrence in forOps, under each of the targets.

Returns the new AffineForOps, one per each of (forOps, targets) pair, nested immediately under each of targets.

Definition at line 1282 of file Utils.cpp.

References stripmineSink().

Referenced by areTilesAndTiledDimsAllConstant(), commonVerifierPackAndUnPackOp(), extractFixedOuterLoops(), mlir::linalg::pack(), and tile().

tile() [2/2]

Loops mlir::tile	(	ArrayRef< scf::ForOp >	forOps,
		ArrayRef< Value >	sizes,
		scf::ForOp	target
	)

Performs tiling (with interchange) by strip-mining the forOps by sizes and sinking them, in their order of occurrence in forOps, under target.

Returns the new AffineForOps, one per forOps, nested immediately under target.

Definition at line 1295 of file Utils.cpp.

References tile().

tilePerfectlyNested()

Loops mlir::tilePerfectlyNested	(	scf::ForOp	rootForOp,
		ArrayRef< Value >	sizes
	)

Tile a nest of scf::ForOp loops rooted at rootForOp with the given (parametric) sizes.

Sizes are expected to be strictly positive values at runtime. If more sizes than loops are provided, discard the trailing values in sizes. Assumes the loop nest is permutable. Returns the newly created intra-tile loops.

Definition at line 1305 of file Utils.cpp.

References getPerfectlyNestedLoopsImpl(), and mlir::affine::tile().

topologicalSort()

SetVector< Operation * > mlir::topologicalSort

(

const SetVector< Operation * > &

toSort

)

Sorts all operations in toSort topologically while also considering region semantics.

Does not support multi-sets.

Definition at line 283 of file TopologicalSortUtils.cpp.

Referenced by destructureSlot(), getConsumerFromLoopUses(), getOpToConvert(), getSlice(), and promoteSingleIterReductionLoop().

toString()

StringRef mlir::toString

(

AsmResourceEntryKind

kind

)

Definition at line 1766 of file AsmPrinter.cpp.

Referenced by mlir::detail::AsmParserImpl< BaseT >::parseBase64Bytes(), and mlir::BytecodeReader::Impl::read().

trailingNDimsContiguous()

bool mlir::trailingNDimsContiguous	(	MemRefType	type,
		int64_t	n
	)

Return "true" if the last N dimensions of the given type are contiguous.

Examples:

• memref<5x4x3x2xi8, strided<[24, 6, 2, 1]> is contiguous when considering both all and only the trailing 3 dims,
• memref<5x4x3x2xi8, strided<[48, 6, 2, 1]> is only contiguous when considering the trailing 3 dims.

Definition at line 968 of file BuiltinTypes.cpp.

References getStridesAndOffset(), and isLastMemrefDimUnitStride().

Referenced by mlir::vector::isContiguousSlice().

transformCFGToSCF()

FailureOr< bool > mlir::transformCFGToSCF	(	Region &	region,
		CFGToSCFInterface &	interface,
		DominanceInfo &	dominanceInfo
	)

Transformation lifting any dialect implementing control flow graph operations to a dialect implementing structured control flow operations.

region is the region that should be transformed. The implementation of interface is responsible for the conversion of the control flow operations to the structured control flow operations.

If the region contains only a single kind of return-like operation, all control flow graph operations will be converted successfully. Otherwise a single control flow graph operation branching to one block per return-like operation kind remains.

The transformation currently requires that all control flow graph operations have no side effects, implement the BranchOpInterface and does not have any operation produced successor operands. Returns failure if any of the preconditions are violated or if any of the methods of interface failed. The IR is left in an unspecified state.

Otherwise, returns true or false if any changes to the IR have been made.

Definition at line 1276 of file CFGToSCF.cpp.

References mlir::OpBuilder::atBlockBegin(), checkTransformationPreconditions(), createSingleExitBlocksForReturnLike(), mlir::Region::empty(), mlir::Region::front(), mlir::CFGToSCFInterface::getCFGSwitchValue(), mlir::Region::getLoc(), mlir::Block::getParent(), mlir::CFGToSCFInterface::getUndefValue(), mlir::Region::hasOneBlock(), mlir::detail::DominanceInfoBase< IsPostDom >::invalidate(), transformCyclesToSCFLoops(), and transformToStructuredCFBranches().

translateDataLayout()

DataLayoutSpecInterface mlir::translateDataLayout	(	const llvm::DataLayout &	dataLayout,
		MLIRContext *	context
	)

Translate the given LLVM data layout into an MLIR equivalent using the DLTI dialect.

Definition at line 327 of file DataLayoutImporter.cpp.

References mlir::LLVM::detail::DataLayoutImporter::getDataLayout().

translateLLVMIRToModule()

OwningOpRef< ModuleOp > mlir::translateLLVMIRToModule	(	std::unique_ptr< llvm::Module >	llvmModule,
		MLIRContext *	context,
		bool	emitExpensiveWarnings = true,
		bool	dropDICompositeTypeElements = false
	)

Translates the LLVM module into an MLIR module living in the given context.

The translation supports operations from any dialect that has a registered implementation of the LLVMImportDialectInterface. It returns nullptr if the translation fails and reports errors using the error handler registered with the MLIR context. The emitExpensiveWarnings option controls if expensive but uncritical diagnostics should be emitted. The dropDICompositeTypeElements option controls if DICompositeTypes should be imported without elements. If set, the option avoids the recursive traversal of composite type debug information, which can be expensive for adversarial inputs.

Definition at line 2293 of file ModuleImport.cpp.

References mlir::LLVM::ModuleImport::convertComdats(), mlir::LLVM::ModuleImport::convertDataLayout(), mlir::LLVM::ModuleImport::convertFunctions(), mlir::LLVM::ModuleImport::convertGlobals(), mlir::LLVM::ModuleImport::convertMetadata(), mlir::OwningOpRef< OpTy >::get(), get(), mlir::FileLineColLoc::get(), mlir::MLIRContext::getAvailableDialects(), mlir::LLVM::ModuleImport::initializeImportInterface(), and mlir::MLIRContext::loadAllAvailableDialects().

Referenced by registerFromLLVMIRTranslation().

translateModuleToLLVMIR()

std::unique_ptr<llvm::Module> mlir::translateModuleToLLVMIR	(	Operation *	module,
		llvm::LLVMContext &	llvmContext,
		llvm::StringRef	name = "LLVMDialectModule",
		bool	disableVerification = false
	)

Translates a given LLVM dialect module into an LLVM IR module living in the given context.

Operates on any operation from dialects that provide a registered implementation of the LLVMTranslationDialectInterface. Returns nullptr when the translation fails. Verifies the produced LLVM module, except when disableVerification is set.

Referenced by mlirTranslateModuleToLLVMIR(), registerToLLVMIRTranslation(), and mlir::LLVM::ModuleToObject::translateToLLVMIR().

tryToDestructureMemorySlots()

LogicalResult mlir::tryToDestructureMemorySlots	(	ArrayRef< DestructurableAllocationOpInterface >	allocators,
		OpBuilder &	builder,
		const DataLayout &	dataLayout,
		SROAStatistics	statistics = {}
	)

Attempts to destructure the slots of destructurable allocators.

Iteratively retries the destructuring of all slots as destructuring one slot might enable subsequent destructuring. Returns failure if no slot was destructured.

Definition at line 198 of file SROA.cpp.

References computeDestructuringInfo(), and destructureSlot().

tryToPromoteMemorySlots()

LogicalResult mlir::tryToPromoteMemorySlots	(	ArrayRef< PromotableAllocationOpInterface >	allocators,
		OpBuilder &	builder,
		const DataLayout &	dataLayout,
		DominanceInfo &	dominance,
		Mem2RegStatistics	statistics = {}
	)

Attempts to promote the memory slots of the provided allocators.

Iteratively retries the promotion of all slots as promoting one slot might enable subsequent promotions. Succeeds if at least one memory slot was promoted.

Definition at line 644 of file Mem2Reg.cpp.

References mlir::MemorySlot::ptr, and mlir::Value::use_empty().

verify()

LogicalResult mlir::verify	(	Operation *	op,
		bool	verifyRecursively = true
	)

Perform (potentially expensive) checks of invariants, used to detect compiler bugs, on this operation and any nested operations.

On error, this reports the error through the MLIRContext and returns failure. If verifyRecursively is false, this assumes that nested operations have already been properly verified, and does not recursively invoke the verifier on nested operations.

Definition at line 425 of file Verifier.cpp.

Referenced by applyOpPatternsGreedily(), applyPatternsGreedily(), mlir::pdll::codegenPDLLToMLIR(), mlir::Tester::isInteresting(), mlir::transform::detail::mergeSymbolsInto(), mlirOperationVerify(), mlir::detail::Parser::parseStridedLayoutAttr(), mlir::transform::detail::parseTransformModuleFromFile(), registerTranslateToMLIRFunction(), ShardingPropagation::runOnOperation(), mlir::DynamicOpDefinition::setVerifyFn(), mlir::DynamicOpDefinition::setVerifyRegionFn(), impl::MemRefDataVerifier< T >::verify(), mlir::MlirOptMainConfig::verifyDiagnostics(), mlir::MlirOptMainConfig::verifyOnParsing(), mlir::MlirOptMainConfig::verifyPasses(), mlir::MlirOptMainConfig::verifyRoundtrip(), and walkAndApplyPatterns().

verifyCompatibleDims()

LogicalResult mlir::verifyCompatibleDims

(

ArrayRef< int64_t >

dims

)

Dimensions are compatible if all non-dynamic dims are equal.

Definition at line 104 of file TypeUtilities.cpp.

Referenced by verifyCompatibleShapes().

verifyCompatibleShape() [1/2]

LogicalResult mlir::verifyCompatibleShape	(	ArrayRef< int64_t >	shape1,
		ArrayRef< int64_t >	shape2
	)

Returns success if the given two shapes are compatible.

That is, they have the same size and each pair of the elements are equal or one of them is dynamic.

Definition at line 58 of file TypeUtilities.cpp.

Referenced by verifyCompatibleShape(), verifyCompatibleShapes(), and mlir::OpTrait::impl::verifySameOperandsAndResultType().

verifyCompatibleShape() [2/2]

LogicalResult mlir::verifyCompatibleShape	(	Type	type1,
		Type	type2
	)

Returns success if the given two types have compatible shape.

That is, they are both scalars (not shaped), or they are both shaped types and at least one is unranked or they have compatible dimensions. Dimensions are compatible if at least one is dynamic or both are equal. The element type does not matter.

Definition at line 77 of file TypeUtilities.cpp.

References verifyCompatibleShape().

verifyCompatibleShapes() [1/2]

LogicalResult mlir::verifyCompatibleShapes

(

TypeRange

types

)

Returns success if all given types have compatible shapes.

That is, they are all scalars (not shaped), or they are all shaped types and any ranked shapes have compatible dimensions. The element type does not matter.

That is, they are all scalars (not shaped), or they are all shaped types and any ranked shapes have compatible dimensions. Dimensions are compatible if all non-dynamic dims are equal. The element type does not matter.

Definition at line 120 of file TypeUtilities.cpp.

References verifyCompatibleDims().

verifyCompatibleShapes() [2/2]

LogicalResult mlir::verifyCompatibleShapes	(	TypeRange	types1,
		TypeRange	types2
	)

Returns success if the given two arrays have the same number of elements and each pair wise entries have compatible shape.

Definition at line 95 of file TypeUtilities.cpp.

References verifyCompatibleShape().

Referenced by areValidCastInputsAndOutputs(), mlir::OpTrait::impl::verifyElementwise(), mlir::OpTrait::impl::verifySameOperandsAndResultShape(), and mlir::OpTrait::impl::verifySameOperandsShape().

verifyListOfOperandsOrIntegers()

LogicalResult mlir::verifyListOfOperandsOrIntegers	(	Operation *	op,
		StringRef	name,
		unsigned	expectedNumElements,
		ArrayRef< int64_t >	attr,
		ValueRange	values
	)

Verify that a the values has as many elements as the number of entries in attr for which isDynamic evaluates to true.

Include the definitions of the loop-like interfaces.

Definition at line 20 of file ViewLikeInterface.cpp.

References mlir::Operation::emitError().

Referenced by mlir::detail::verifyOffsetSizeAndStrideOp().

verifyReshapeLikeTypes()

template<typename Op , typename T >

static LogicalResult mlir::verifyReshapeLikeTypes ( Op  op, T  expandedType, T  collapsedType, bool  isExpansion  )

static

Common verifier for reshape-like types.

Fills expandedType and collapsedType with the proper src or result type.

Definition at line 137 of file ReshapeOpsUtils.h.

References mlir::OpState::emitOpError(), mlir::detail::enumerate(), isReassociationValid(), and reshapeLikeShapesAreCompatible().

Referenced by verifyTensorReshapeOp().

visitUsedValuesDefinedAbove() [1/2]

void mlir::visitUsedValuesDefinedAbove	(	MutableArrayRef< Region >	regions,
		function_ref< void(OpOperand *)>	callback
	)

Calls callback for each use of a value within any of the regions provided that was defined in one of the ancestors.

Definition at line 61 of file RegionUtils.cpp.

References visitUsedValuesDefinedAbove().

visitUsedValuesDefinedAbove() [2/2]

void mlir::visitUsedValuesDefinedAbove	(	Region &	region,
		Region &	limit,
		function_ref< void(OpOperand *)>	callback
	)

Calls callback for each use of a value within region or its descendants that was defined at the ancestors of the limit.

Definition at line 40 of file RegionUtils.cpp.

References mlir::Operation::getOpOperands(), mlir::Region::getParentRegion(), mlir::Region::isAncestor(), and mlir::Region::walk().

Referenced by getUsedValuesDefinedAbove(), isOpSibling(), and visitUsedValuesDefinedAbove().

walkAndApplyPatterns()

void mlir::walkAndApplyPatterns	(	Operation *	op,
		const FrozenRewritePatternSet &	patterns,
		RewriterBase::Listener *	listener = nullptr
	)

A fast walk-based pattern rewrite driver.

Rewrites ops nested under the given operation by walking it and applying the highest benefit patterns. This rewriter does not wait until a fixpoint is reached and does not visit modified or newly replaced ops. Also does not perform folding or dead-code elimination.

This is intended as the simplest and most lightweight pattern rewriter in cases when a simple walk gets the job done.

Note: Does not apply patterns to the given operation itself.

Definition at line 71 of file WalkPatternRewriteDriver.cpp.

References mlir::PatternApplicator::applyDefaultCostModel(), mlir::MLIRContext::executeAction(), mlir::Operation::getContext(), mlir::Operation::getRegions(), mlir::PatternApplicator::matchAndRewrite(), patterns, mlir::Operation::print(), mlir::OpBuilder::setListener(), and verify().

walkSlice()

WalkContinuation mlir::walkSlice	(	mlir::ValueRange	rootValues,
		WalkCallback	walkCallback
	)

Walks the slice starting from the rootValues using a depth-first traversal.

The walk calls the provided walkCallback for each value encountered in the slice and uses the returned walk continuation to determine how to proceed.

Definition at line 6 of file SliceWalk.cpp.

References mlir::WalkContinuation::getNextValues(), mlir::WalkContinuation::skip(), mlir::WalkContinuation::wasAdvancedTo(), mlir::WalkContinuation::wasInterrupted(), and mlir::WalkContinuation::wasSkipped().

Referenced by getUnderlyingObjectSet().

wouldOpBeTriviallyDead()

bool mlir::wouldOpBeTriviallyDead

(

Operation *

op

)

Return true if the given operation would be dead if unused, and has no side effects on memory that would prevent erasing.

This is equivalent to checking isOpTriviallyDead if op was unused.

Note: Terminators and symbols are never considered to be trivially dead.

Definition at line 301 of file SideEffectInterfaces.cpp.

References mlir::Operation::mightHaveTrait(), and wouldOpBeTriviallyDeadImpl().

Referenced by isOpTriviallyDead(), propagateLiveness(), and rewrite().

writeBytecodeToFile()

LogicalResult mlir::writeBytecodeToFile	(	Operation *	op,
		raw_ostream &	os,
		const BytecodeWriterConfig &	config = {}
	)

Write the bytecode for the given operation to the provided output stream.

For streams where it matters, the given stream should be in "binary" mode. It only ever fails if setDesiredByteCodeVersion can't be honored.

Definition at line 1345 of file BytecodeWriter.cpp.

References config.

Referenced by doVerifyRoundTrip(), mlirOperationWriteBytecode(), mlirOperationWriteBytecodeWithConfig(), and performActions().

Variable Documentation

changed

const FrozenRewritePatternSet GreedyRewriteConfig bool* mlir::changed = nullptr

Definition at line 235 of file GreedyPatternRewriteDriver.h.

Referenced by applyOpPatternsGreedily(), applyPatternsAndFoldGreedily(), applyPatternsGreedily(), composeAffineMapAndOperands(), mlir::FlatLinearConstraints::computeLocalVars(), mlir::presburger::DivisionRepr::divValuesAt(), eliminateCommonSubExpressions(), foldTransferInBoundsAttribute(), mlir::presburger::IntegerRelation::getLocalReprs(), mlir::FlatLinearConstraints::getSliceBounds(), mlir::linalg::hoistRedundantVectorBroadcasts(), mlir::linalg::hoistRedundantVectorTransfers(), VectorizePadOpUserPattern< OpTy >::matchAndRewrite(), mlir::presburger::IntegerRelation::removeDuplicateConstraints(), mlir::detail::AttrTypeReplacerBase< AttrTypeReplacer >::replaceElementsIn(), replaceSubElements(), mlir::presburger::IntegerRelation::simplify(), translateMap(), mlir::dataflow::IntegerRangeAnalysis::visitNonControlFlowArguments(), and mlir::dataflow::IntegerRangeAnalysis::visitOperation().

config

const FrozenRewritePatternSet GreedyRewriteConfig mlir::config = GreedyRewriteConfig()

Definition at line 234 of file GreedyPatternRewriteDriver.h.

Referenced by mlir::affine::affineForOpBodySkew(), applyAnalysisConversion(), applyFullConversion(), applyOpPatternsGreedily(), applyPartialConversion(), applyPatterns(), applyPatternsAndFoldGreedily(), applyPatternsGreedily(), mlir::transform::TransformState::applyTransform(), mlir::PassReproducerOptions::attachResourceParser(), mlir::BytecodeReader::BytecodeReader(), compileAndExecute(), compileAndExecuteSingleReturnFunction(), compileAndExecuteVoidFunction(), createCanonicalizerPass(), doVerifyRoundTrip(), mlir::PassManager::enableIRPrinting(), mlir::bufferization::AnalysisState::findDefinitions(), mlir::transform::TrackingListener::findReplacementOp(), mlir::bufferization::AnalysisState::findValueInReverseUseDefChain(), mlir::bytecode::detail::IRNumberingState::getDesiredBytecodeVersion(), mlir::affine::hoistAffineIfOp(), mlir::tracing::InstallDebugHandler::Impl::Impl(), mlir::Inliner::Inliner(), mlirBytecodeWriterConfigDestroy(), mlirOperationWriteBytecodeWithConfig(), MlirOptMain(), mlir::OperationConverter::OperationConverter(), parseAffineMapOrIntegerSet(), parseAsmSourceFile(), parseSourceFile(), mlir::detail::parseSourceFile(), parseSourceFileForTool(), parseSourceString(), parseSymbol(), performActions(), processParallelLoop(), readBytecodeFile(), readBytecodeFileImpl(), mlir::MlirOptMainConfig::setDebugConfig(), mlir::spirv::unrollVectorsInSignatures(), mlir::python::PyOperationBase::writeBytecode(), and writeBytecodeToFile().

has_sub_attr_or_type_v

template<typename... Ts>

constexpr bool mlir::has_sub_attr_or_type_v

inlineconstexpr

Initial value:

=
    (!llvm::is_detected<detail::has_default_sub_element_handler_t, Ts>::value ||
     ...)

Definition at line 417 of file AttrTypeSubElements.h.

Referenced by mlir::detail::replaceImmediateSubElementsImpl(), and mlir::detail::walkImmediateSubElementsImpl().

kDefaultSplitMarker

const char* const mlir::kDefaultSplitMarker = "// -----"

externinline

kDeriveIndexBitwidthFromDataLayout

constexpr unsigned mlir::kDeriveIndexBitwidthFromDataLayout = 0

staticconstexpr

Value to pass as bitwidth for the index type when the converter is expected to derive the bitwidth from the LLVM data layout.

Definition at line 26 of file LoweringOptions.h.

Referenced by mlir::LowerToLLVMOptions::overrideIndexBitwidth().

patterns

const FrozenRewritePatternSet& mlir::patterns

Definition at line 233 of file GreedyPatternRewriteDriver.h.

Referenced by mlir::affine::affineForOpBodySkew(), applyAnalysisConversion(), applyFullConversion(), applyOpPatternsGreedily(), applyPartialConversion(), applyPartialOneToNConversion(), applyPatterns(), applyPatternsAndFoldGreedily(), applyPatternsGreedily(), findOptimal(), mlir::FrozenRewritePatternSet::FrozenRewritePatternSet(), mlir::linalg::getLinalgTilingCanonicalizationPatterns(), mlir::affine::hoistAffineIfOp(), mlirApplyPatternsAndFoldGreedily(), mlir::affine::populateAffineExpandIndexOpsAsAffinePatterns(), mlir::affine::populateAffineExpandIndexOpsPatterns(), populateAffineToStdConversionPatterns(), populateAffineToVectorConversionPatterns(), mlir::mesh::populateAllOpLoweringPatterns(), mlir::mesh::populateAllReduceEndomorphismSimplificationPatterns(), mlir::mesh::populateAllSliceOpLoweringPatterns(), mlir::amdgpu::populateAmdgpuEmulateAtomicsPatterns(), populateAMDGPUToROCDLConversionPatterns(), populateAMXLegalizeForLLVMExportPatterns(), populateAnyFunctionOpInterfaceTypeConversionPattern(), mlir::arith::populateArithExpandOpsPatterns(), mlir::arith::populateArithNarrowTypeEmulationPatterns(), mlir::arith::populateArithToAMDGPUConversionPatterns(), mlir::arith::populateArithToArmSMEConversionPatterns(), populateArithToEmitCPatterns(), mlir::arith::populateArithToLLVMConversionPatterns(), mlir::arith::populateArithToSPIRVPatterns(), mlir::arith::populateArithWideIntEmulationPatterns(), populateArmSMEToLLVMConversionPatterns(), populateArmSMEToSCFConversionPatterns(), populateArmSVELegalizeForLLVMExportPatterns(), mlir::cf::populateAssertToLLVMConversionPattern(), populateAsyncFuncToAsyncRuntimeConversionPatterns(), mlir::async::populateAsyncParallelForPatterns(), populateAsyncStructuralTypeConversionsAndLegality(), mlir::linalg::populateBlockPackMatmulPatterns(), mlir::vector::populateBreakDownVectorReductionPatterns(), mlir::tensor::populateBubbleUpExpandShapePatterns(), mlir::linalg::populateBubbleUpExtractSliceOpPatterns(), mlir::vector::populateBubbleVectorBitCastOpPatterns(), mlir::bufferization::populateBufferizationDeallocLoweringPattern(), populateBuiltinFuncToSPIRVPatterns(), populateCallOpTypeConversionPattern(), mlir::vector::populateCastAwayVectorLeadingOneDimPatterns(), mlir::arith::populateCeilFloorDivExpandOpsPatterns(), mlir::vector::populateChainedVectorReductionFoldingPatterns(), mlir::linalg::populateCollapseDimensions(), populateCommutativityUtilsPatterns(), populateComplexToLibmConversionPatterns(), populateComplexToLLVMConversionPatterns(), populateComplexToSPIRVPatterns(), populateComplexToStandardConversionPatterns(), mlir::memref::populateComposeSubViewPatterns(), mlir::linalg::populateConstantFoldLinalgOperations(), mlir::linalg::populateContractionOpRankReducingPatterns(), mlir::cf::populateControlFlowToLLVMConversionPatterns(), mlir::cf::populateControlFlowToSPIRVPatterns(), populateConversionTargetFromOperation(), populateConvertArmNeon2dToIntrPatterns(), mlir::linalg::populateConvertConv2DToImg2ColPatterns(), populateConvertShapeConstraintsConversionPatterns(), mlir::linalg::populateConvertToDestinationStylePatterns(), mlir::linalg::populateConvolutionVectorizationPatterns(), mlir::linalg::populateDataLayoutPropagationPatterns(), mlir::bufferization::populateDeallocOpCanonicalizationPatterns(), mlir::linalg::populateDecomposeConvolutionPatterns(), mlir::linalg::populateDecomposeLinalgOpsPattern(), mlir::linalg::populateDecomposePackUnpackPatterns(), mlir::linalg::populateDecomposePadPatterns(), mlir::linalg::populateDecomposeProjectedPermutationPatterns(), mlir::tensor::populateDecomposeTensorConcatPatterns(), mlir::linalg::populateDecomposeWinogradOpsPatterns(), mlir::tensor::populateDropRedundantInsertSliceRankExpansionPatterns(), mlir::vector::populateDropUnitDimWithShapeCastPatterns(), mlir::linalg::populateElementwiseOpsFusionPatterns(), mlir::linalg::populateElementwiseToLinalgConversionPatterns(), mlir::vector::populateElementwiseToVectorOpsPatterns(), mlir::bufferization::populateEmptyTensorToAllocTensorPattern(), mlir::arith::populateEmulateUnsupportedFloatsPatterns(), mlir::linalg::populateEraseUnnecessaryInputsPatterns(), mlir::linalg::populateEraseUnusedOperandsAndResultsPatterns(), populateExpandAcoshPattern(), populateExpandAsinhPattern(), populateExpandAtanhPattern(), mlir::arith::populateExpandBFloat16Patterns(), populateExpandCeilFPattern(), populateExpandCoshPattern(), populateExpandCtlzPattern(), populateExpandExp2FPattern(), populateExpandFloorFPattern(), populateExpandFmaFPattern(), populateExpandFPowIPattern(), mlir::memref::populateExpandOpsPatterns(), populateExpandPowFPattern(), mlir::memref::populateExpandReallocPatterns(), populateExpandRoundEvenPattern(), populateExpandRoundFPattern(), populateExpandRsqrtPattern(), populateExpandSinhPattern(), populateExpandTanhPattern(), populateExpandTanPattern(), mlir::emitc::populateExpressionPatterns(), mlir::math::populateExtendToSupportedTypesPatterns(), mlir::memref::populateExtractAddressComputationsPatterns(), populateFinalizeMemRefToLLVMConversionPatterns(), mlir::vector::populateFlattenVectorTransferPatterns(), mlir::linalg::populateFoldAddIntoDestPatterns(), mlir::vector::populateFoldArithExtensionPatterns(), mlir::tensor::populateFoldConstantExtractSlicePatterns(), mlir::mesh::populateFoldingPatterns(), mlir::tensor::populateFoldIntoPackAndUnpackPatterns(), mlir::memref::populateFoldMemRefAliasOpPatterns(), mlir::linalg::populateFoldReshapeOpsByCollapsingPatterns(), mlir::linalg::populateFoldReshapeOpsByExpansionPatterns(), mlir::tensor::populateFoldTensorEmptyPatterns(), mlir::tensor::populateFoldTensorSubsetIntoVectorTransferPatterns(), mlir::tensor::populateFoldTensorSubsetOpPatterns(), mlir::linalg::populateFoldUnitExtentDimsPatterns(), populateFoldUnitExtentDimsViaReshapesPatterns(), populateFoldUnitExtentDimsViaSlicesPatterns(), populateFuncOpVectorRewritePatterns(), populateFunctionOpInterfaceTypeConversionPattern(), populateFuncToEmitCPatterns(), populateFuncToLLVMConversionPatterns(), populateFuncToLLVMFuncOpConversionPattern(), populateFuncToSPIRVPatterns(), populateFuncTypeConversionPatterns(), mlir::linalg::populateFuseTensorPadWithProducerLinalgOpPatterns(), populateGpuAllReducePatterns(), populateGpuBreakDownSubgroupReducePatterns(), populateGpuDecomposeMemrefsPatterns(), populateGpuEliminateBarriersPatterns(), populateGpuGlobalIdPatterns(), populateGpuLowerClusteredSubgroupReduceToShufflePatterns(), populateGpuLowerSubgroupReduceToShufflePatterns(), populateGpuRewritePatterns(), populateGpuShufflePatterns(), populateGpuSubgroupReduceOpLoweringPattern(), populateGpuToLLVMConversionPatterns(), populateGpuToLLVMSPVConversionPatterns(), populateGpuToNVVMConversionPatterns(), populateGPUToSPIRVPatterns(), populateGpuWMMAToNVVMConversionPatterns(), populateGpuWMMAToSPIRVCoopMatrixKHRConversionPatterns(), mlir::index::populateIndexToLLVMConversionPatterns(), mlir::index::populateIndexToSPIRVPatterns(), mlir::linalg::populateInlineConstantOperandsPatterns(), mlir::linalg::populateInsertSliceVectorizationPatterns(), mlir::arith::populateIntRangeNarrowingPatterns(), mlir::arith::populateIntRangeOptimizationsPatterns(), mlir::arm_sve::populateLegalizeVectorStoragePatterns(), mlir::linalg::populateLinalgGenericOpsSpecializationPatterns(), mlir::linalg::populateLinalgNamedOpConversionPatterns(), mlir::linalg::populateLinalgNamedOpsGeneralizationPatterns(), mlir::linalg::populateLinalgTilingCanonicalizationPatterns(), mlir::linalg::populateLinalgToStandardConversionPatterns(), mlir::arm_neon::populateLowerContractionToSMMLAPatternPatterns(), populateLowerForeachToSCFPatterns(), mlir::quant::populateLowerQuantOpsPatterns(), populateLowerSparseIterationToSCFPatterns(), populateLowerSparseOpsToForeachPatterns(), populateMathAlgebraicSimplificationPatterns(), populateMathPolynomialApproximationPatterns(), populateMathToLibmConversionPatterns(), populateMathToLLVMConversionPatterns(), populateMathToROCDLConversionPatterns(), populateMathToSPIRVPatterns(), mlir::memref::populateMemRefNarrowTypeEmulationPatterns(), populateMemRefToEmitCConversionPatterns(), populateMemRefToSPIRVPatterns(), mlir::memref::populateMemRefWideIntEmulationPatterns(), mlir::tensor::populateMergeConsecutiveInsertExtractSlicePatterns(), mlir::nvgpu::populateMmaSyncF32ToTF32Patterns(), mlir::linalg::populateMoveInitOperandsToInputPattern(), populateNVGPUToNVVMConversionPatterns(), populateNVVMToLLVMConversionPatterns(), populateOneToNFunctionOpInterfaceTypeConversionPattern(), populateOpConvertToLLVMConversionPatterns(), populateOpenACCToSCFConversionPatterns(), populateOpenMPToLLVMConversionPatterns(), populateOpPatterns(), mlir::arm_sme::populateOuterProductFusionPatterns(), mlir::linalg::populatePadOpVectorizationPatterns(), populateParallelLoopToGPUPatterns(), populatePolynomialApproximateErfPattern(), populatePolynomialApproximateTanhPattern(), populatePrepareVectorToMMAPatterns(), populatePreSparsificationRewriting(), mlir::mesh::populateProcessMultiIndexOpLoweringPatterns(), mlir::tensor::populateReassociativeReshapeFoldingPatterns(), populateRemoveShapeConstraintsPatterns(), mlir::memref::populateResolveRankedShapedTypeResultDimsPatterns(), mlir::memref::populateResolveShapedTypeResultDimsPatterns(), populateReturnOpTypeConversionPattern(), populateReturnOpVectorRewritePatterns(), mlir::tensor::populateRewriteAsConstantPatterns(), mlir::vector::populateScalarVectorTransferLoweringPatterns(), mlir::scf::populateSCFForLoopCanonicalizationPatterns(), mlir::scf::populateSCFLoopPipeliningPatterns(), mlir::scf::populateSCFRotateWhileLoopPatterns(), mlir::scf::populateSCFStructuralOneToNTypeConversions(), mlir::scf::populateSCFStructuralTypeConversions(), mlir::scf::populateSCFStructuralTypeConversionsAndLegality(), populateSCFToControlFlowConversionPatterns(), populateSCFToEmitCConversionPatterns(), populateSCFToSPIRVPatterns(), mlir::vector::populateShapeCastFoldingPatterns(), populateShapeRewritePatterns(), populateShapeToStandardConversionPatterns(), mlir::mesh::populateSimplificationPatterns(), mlir::tensor::populateSimplifyPackAndUnpackPatterns(), mlir::vector::populateSinkVectorOpsPatterns(), populateSparseAssembler(), populateSparseBufferRewriting(), populateSparseGPUCodegenPatterns(), populateSparseGPULibgenPatterns(), populateSparseReinterpretMap(), populateSparseTensorCodegenPatterns(), populateSparseTensorConversionPatterns(), populateSparseVectorizationPatterns(), populateSparsificationPatterns(), mlir::x86vector::avx2::populateSpecializedTransposeLoweringPatterns(), mlir::spirv::populateSPIRVExpandExtendedMultiplicationPatterns(), mlir::spirv::populateSPIRVExpandNonFiniteArithmeticPatterns(), populateSPIRVLayoutInfoPatterns(), populateSPIRVToLLVMConversionPatterns(), populateSPIRVToLLVMFunctionConversionPatterns(), populateSPIRVToLLVMModuleConversionPatterns(), mlir::linalg::populateSplitReductionPattern(), populateStageSparseOperationsPatterns(), populateStorageSpecifierToLLVMPatterns(), mlir::linalg::populateSwapExtractSliceWithFillPatterns(), populateTensorToLinalgPatterns(), populateTensorToSPIRVPatterns(), mlir::tosa::populateTosaConstantReduction(), mlir::tosa::populateTosaDecomposeConv2D(), mlir::tosa::populateTosaDecomposeDepthwise(), mlir::tosa::populateTosaDecomposeTransposeConv(), mlir::tosa::populateTosaFoldConstantReciprocalPatterns(), mlir::tosa::populateTosaFoldConstantTransposePatterns(), mlir::tosa::populateTosaRescaleToArithConversionPatterns(), mlir::tosa::populateTosaToArithConversionPatterns(), mlir::tosa::populateTosaToLinalgConversionPatterns(), mlir::tosa::populateTosaToLinalgNamedConversionPatterns(), mlir::tosa::populateTosaToMLProgramConversionPatterns(), mlir::tosa::populateTosaToSCFConversionPatterns(), mlir::tosa::populateTosaToTensorConversionPatterns(), mlir::linalg::populateTranposeConv2DPatterns(), mlir::linalg::populateTransposeMatmulPatterns(), mlir::ub::populateUBToLLVMConversionPatterns(), mlir::ub::populateUBToSPIRVConversionPatterns(), mlir::arith::populateUnsignedWhenEquivalentPatterns(), populateUpliftToFMAPatterns(), mlir::scf::populateUpliftWhileToForPatterns(), mlir::vector::populateVectorBitCastLoweringPatterns(), mlir::vector::populateVectorBroadcastLoweringPatterns(), mlir::vector::populateVectorContractCanonicalizeMatmulToMMT(), mlir::vector::populateVectorContractLoweringPatterns(), mlir::vector::populateVectorExtractStridedSliceToExtractInsertChainPatterns(), mlir::vector::populateVectorGatherLoweringPatterns(), mlir::vector::populateVectorInsertExtractStridedSliceDecompositionPatterns(), mlir::vector::populateVectorInsertExtractStridedSliceTransforms(), mlir::vector::populateVectorInterleaveLoweringPatterns(), mlir::vector::populateVectorInterleaveToShufflePatterns(), mlir::vector::populateVectorLinearizeTypeConversionsAndLegality(), mlir::vector::populateVectorMaskedLoadStoreEmulationPatterns(), mlir::vector::populateVectorMaskLoweringPatternsForSideEffectingOps(), mlir::vector::populateVectorMaskMaterializationPatterns(), mlir::vector::populateVectorMaskOpLoweringPatterns(), mlir::vector::populateVectorMultiReductionLoweringPatterns(), mlir::vector::populateVectorNarrowTypeEmulationPatterns(), mlir::vector::populateVectorNarrowTypeRewritePatterns(), mlir::vector::populateVectorOuterProductLoweringPatterns(), mlir::vector::populateVectorRankReducingFMAPattern(), mlir::vector::populateVectorReductionToContractPatterns(), populateVectorReductionToSPIRVDotProductPatterns(), mlir::vector::populateVectorScanLoweringPatterns(), mlir::vector::populateVectorShapeCastLoweringPatterns(), mlir::vector::populateVectorStepLoweringPatterns(), populateVectorToArmSMEPatterns(), populateVectorToLLVMConversionPatterns(), populateVectorToLLVMMatrixConversionPatterns(), populateVectorToSCFConversionPatterns(), populateVectorToSPIRVPatterns(), populateVectorToXeGPUConversionPatterns(), mlir::vector::populateVectorTransferCollapseInnerMostContiguousDimsPatterns(), mlir::vector::populateVectorTransferDropUnitDimsPatterns(), mlir::vector::populateVectorTransferFullPartialPatterns(), mlir::vector::populateVectorTransferLoweringPatterns(), mlir::vector::populateVectorTransferPermutationMapLoweringPatterns(), mlir::vector::populateVectorTransposeLoweringPatterns(), mlir::vector::populateVectorTransposeNarrowTypeRewritePatterns(), mlir::vector::populateVectorUnrollPatterns(), mlir::vector::populateWarpExecuteOnLane0OpToScfForPattern(), populateX86VectorLegalizeForLLVMExportPatterns(), mlir::xegpu::populateXeGPUFoldAliasOpsPatterns(), registerConversionPDLFunctions(), mlir::spirv::unrollVectorsInFuncBodies(), mlir::spirv::unrollVectorsInSignatures(), and walkAndApplyPatterns().