Classes
struct	ValidationOptions

struct	ValueKnowledge
	Statically known information for a particular Value. More...

Functions
std::unique_ptr< Pass >	createTosaToArith (bool includeApplyRescale=false, bool use32BitApplyRescale=false)

void	populateTosaToArithConversionPatterns (RewritePatternSet *patterns)

void	populateTosaRescaleToArithConversionPatterns (RewritePatternSet *patterns, bool include32Bit=false)

std::unique_ptr< Pass >	createTosaToLinalg ()

std::unique_ptr< Pass >	createTosaToLinalgNamed (const TosaToLinalgNamedOptions &options=TosaToLinalgNamedOptions())

void	addTosaToLinalgPasses (OpPassManager &pm, const TosaToLinalgOptions &options, const TosaToLinalgNamedOptions &tosaToLinalgNamedOptions=TosaToLinalgNamedOptions(), tosa::TosaValidationOptions const &validationOptions={ tosa::TosaProfileEnum::Undefined, false, tosa::TosaLevelEnum::None})
	Populates passes to convert from TOSA to Linalg on buffers. More...

void	registerTosaToLinalgPipelines ()
	Populates TOSA to linalg pipelines Currently, this includes only the "tosa-to-linalg-pipeline". More...

void	populateTosaToLinalgConversionPatterns (RewritePatternSet *patterns)
	Populates conversion passes from TOSA dialect to Linalg dialect. More...

void	populateTosaToLinalgNamedConversionPatterns (RewritePatternSet *patterns, const TosaToLinalgNamedOptions &options)
	Populates conversion passes from TOSA dialect to Linalg named operations. More...

void	populateTosaToMLProgramConversionPatterns (RewritePatternSet *patterns)

std::unique_ptr< Pass >	createTosaToSCF ()

void	populateTosaToSCFConversionPatterns (RewritePatternSet *patterns)

void	addTosaToSCFPasses (OpPassManager &pm)
	Populates passes to convert from TOSA to SCF. More...

std::unique_ptr< Pass >	createTosaToTensor ()

void	populateTosaToTensorConversionPatterns (RewritePatternSet *patterns)

void	registerShardingInterfaceExternalModels (DialectRegistry &registry)

ParseResult	parseTypeOrAttr (OpAsmParser &parser, TypeAttr &typeAttr, Attribute &attr)

void	printTypeOrAttr (OpAsmPrinter &p, Operation *op, TypeAttr type, Attribute attr)

void	populateTosaDecomposeConv2D (MLIRContext *ctx, RewritePatternSet &patterns)

void	populateTosaDecomposeTransposeConv (MLIRContext *ctx, RewritePatternSet &patterns)

void	populateTosaDecomposeDepthwise (MLIRContext *ctx, RewritePatternSet &patterns)

void	populateTosaFoldConstantReciprocalPatterns (MLIRContext *ctx, RewritePatternSet &patterns)

void	populateTosaFoldConstantTransposePatterns (MLIRContext *ctx, RewritePatternSet &patterns)

void	populateTosaConstantReduction (MLIRContext *ctx, RewritePatternSet &patterns, bool aggressiveReduceConstant)

std::unique_ptr< Pass >	createTosaLayerwiseConstantFoldPass ()

std::unique_ptr< Pass >	createTosaLayerwiseConstantFoldPass (const TosaLayerwiseConstantFoldPassOptions &options)

std::unique_ptr< Pass >	createTosaInferShapesPass ()

std::unique_ptr< Pass >	createTosaMakeBroadcastablePass ()

std::unique_ptr< Pass >	createTosaTestQuantUtilAPIPass ()

std::unique_ptr< Pass >	createTosaOptionalDecompositions ()

SmallVector< utils::IteratorType >	getNParallelLoopsAttrs (unsigned nParallelLoops)

SmallVector< Value >	condenseValues (const SmallVector< Value > &values)

Value	clampFloatHelper (Location loc, Value arg, Value min, Value max, OpBuilder &rewriter)

Value	clampIntHelper (Location loc, Value arg, Value min, Value max, OpBuilder &rewriter)

bool	validIntegerRange (IntegerType ty, int64_t value)

template<typename Op >
std::optional< SmallVector< Value > >	checkHasDynamicBatchDims (PatternRewriter &rewriter, Op op, ArrayRef< Value > params)

LogicalResult	EqualizeRanks (PatternRewriter &rewriter, Location loc, Value &input1, Value &input2)
	Common code to create the reshape op where necessary to make the rank of two values equal. More...

void	computeMultiplierAndShift (double scale, int32_t &multiplier, int32_t &shift, int32_t scaleWidth)
	From a scale value, computes multiplier and shift values for 16 or 32-bit scale widths. More...

ConvOpQuantizationAttr	buildConvOpQuantizationAttr (OpBuilder &builder, Value input, Value weight)
	Method to build ConvOpQuantizationAttr, called from ConvOpQuantInfoBuilder/TransConvOpQuantInfoBuilder: input_zp: input zeropoint weight_zp: weight zeropoint. More...

MatMulOpQuantizationAttr	buildMatMulOpQuantizationAttr (OpBuilder &builder, Value a, Value b)
	Builds MatMulOpQuantizationAttr, called from MatMulOpQuantInfoBuilder: aZp: input a zeropoint bZp: input b zeropoint. More...

UnaryOpQuantizationAttr	buildUnaryOpQuantizationAttr (OpBuilder &builder, Value input, Type outputRawType)
	Builds UnaryOpQuantizationAttr UnaryOpQuantInfoBuilder: inputZp: input zeropoint outputZp: output zeropoint. More...

PadOpQuantizationAttr	buildPadOpQuantizationAttr (OpBuilder &builder, Value input)
	Builds PadOpQuantizationAttr, called from PadOpQuantInfoBuilder: inputZp: input zeropoint. More...

Type	buildConvOpResultTypeInfo (OpBuilder &builder, Type outputType, Value input, Value weight)
	construct ConvOp output type with correct bitwidth based on input/weight width. More...

Type	buildQTypeFromMinMax (OpBuilder builder, Type inputDType, Attribute minAttr, Attribute maxAttr, IntegerAttr quantBits, int filterQuantDim, bool isSigned, BoolAttr narrowRange)
	Builds Tosa quantization attributes from min/max values. More...

TypeAttr	buildQTypeAttrFromMinMax (OpBuilder builder, Type inputDType, Attribute minAttr, Attribute maxAttr, IntegerAttr quantBits, int filterQuantDim, bool isSigned, BoolAttr narrowRange)
	Builds Tosa quantization attributes from min/max values. More...

Function Documentation

◆ addTosaToLinalgPasses()

void mlir::tosa::addTosaToLinalgPasses	(	OpPassManager &	pm,
		const TosaToLinalgOptions &	options,
		const TosaToLinalgNamedOptions &	tosaToLinalgNamedOptions = `TosaToLinalgNamedOptions()`,
		tosa::TosaValidationOptions const &	validationOptions = `{ tosa::TosaProfileEnum::Undefined, false, tosa::TosaLevelEnum::None}`
	)

Populates passes to convert from TOSA to Linalg on buffers.

At the end of the pass, the function will only contain linalg ops or standard ops if the pipeline succeeds. The option to disable decompositions is available for benchmarking performance improvements from the canonicalizations.

Definition at line 77 of file TosaToLinalgPass.cpp.

References mlir::OpPassManager::addNestedPass(), mlir::OpPassManager::addPass(), mlir::createCanonicalizerPass(), createTosaInferShapesPass(), createTosaLayerwiseConstantFoldPass(), createTosaMakeBroadcastablePass(), createTosaOptionalDecompositions(), createTosaToLinalg(), createTosaToLinalgNamed(), and options.

Referenced by registerTosaToLinalgPipelines().

◆ addTosaToSCFPasses()

void mlir::tosa::addTosaToSCFPasses ( OpPassManager & pm )

Populates passes to convert from TOSA to SCF.

Definition at line 55 of file TosaToSCFPass.cpp.

References mlir::OpPassManager::addNestedPass(), and createTosaToSCF().

◆ buildConvOpQuantizationAttr()

ConvOpQuantizationAttr mlir::tosa::buildConvOpQuantizationAttr	(	OpBuilder &	builder,
		Value	input,
		Value	weight
	)

Method to build ConvOpQuantizationAttr, called from ConvOpQuantInfoBuilder/TransConvOpQuantInfoBuilder: input_zp: input zeropoint weight_zp: weight zeropoint.

Definition at line 120 of file QuantUtils.cpp.

References GET_UQTYPE, mlir::Builder::getAttr(), and mlir::Value::getType().

Referenced by buildConvOpWithQuantInfo(), buildFCOpWithQuantInfo(), and buildTransConvOpWithQuantInfo().

◆ buildConvOpResultTypeInfo()

Type mlir::tosa::buildConvOpResultTypeInfo	(	OpBuilder &	builder,
		Type	outputType,
		Value	input,
		Value	weight
	)

construct ConvOp output type with correct bitwidth based on input/weight width.

Builds output type for a quantized ConvOp with the right bitwidth.

This is called by the builder when dealing with quantized content.

Definition at line 239 of file QuantUtils.cpp.

References GET_QTYPE, mlir::Builder::getI32Type(), mlir::Builder::getIntegerType(), and mlir::Value::getType().

Referenced by buildConvOpWithQuantInfo(), buildFCOpWithQuantInfo(), and buildTransConvOpWithQuantInfo().

◆ buildMatMulOpQuantizationAttr()

MatMulOpQuantizationAttr mlir::tosa::buildMatMulOpQuantizationAttr	(	OpBuilder &	builder,
		Value	a,
		Value	b
	)

Builds MatMulOpQuantizationAttr, called from MatMulOpQuantInfoBuilder: aZp: input a zeropoint bZp: input b zeropoint.

Definition at line 164 of file QuantUtils.cpp.

References GET_UQTYPE, mlir::Builder::getAttr(), and mlir::Value::getType().

Referenced by buildMatMulOpWithQuantInfo().

◆ buildPadOpQuantizationAttr()

PadOpQuantizationAttr mlir::tosa::buildPadOpQuantizationAttr	(	OpBuilder &	builder,
		Value	input
	)

Builds PadOpQuantizationAttr, called from PadOpQuantInfoBuilder: inputZp: input zeropoint.

Definition at line 219 of file QuantUtils.cpp.

References GET_UQTYPE, mlir::Builder::getAttr(), and mlir::Value::getType().

Referenced by buildExplicitValuePadOpWithQuantInfo(), and buildPadOpWithQuantInfo().

◆ buildQTypeAttrFromMinMax()

TypeAttr mlir::tosa::buildQTypeAttrFromMinMax	(	OpBuilder	builder,
		Type	inputDType,
		Attribute	minAttr,
		Attribute	maxAttr,
		IntegerAttr	quantBits,
		int	filterQuantDim,
		bool	isSigned,
		BoolAttr	narrowRange
	)

Builds Tosa quantization attributes from min/max values.

Definition at line 339 of file QuantUtils.cpp.

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

◆ buildQTypeFromMinMax()

Type mlir::tosa::buildQTypeFromMinMax	(	OpBuilder	builder,
		Type	inputDType,
		Attribute	minAttr,
		Attribute	maxAttr,
		IntegerAttr	quantBits,
		int	filterQuantDim,
		bool	isSigned,
		BoolAttr	narrowRange
	)

Builds Tosa quantization attributes from min/max values.

Definition at line 271 of file QuantUtils.cpp.

References mlir::quant::fakeQuantAttrsToType(), mlir::quant::ExpressedToQuantizedConverter::forInputType(), mlir::Builder::getUnknownLoc(), mlir::BoolAttr::getValue(), max(), and min().

Referenced by buildQTypeAttrFromMinMax().

◆ buildUnaryOpQuantizationAttr()

UnaryOpQuantizationAttr mlir::tosa::buildUnaryOpQuantizationAttr	(	OpBuilder &	builder,
		Value	input,
		Type	outputRawType
	)

Builds UnaryOpQuantizationAttr UnaryOpQuantInfoBuilder: inputZp: input zeropoint outputZp: output zeropoint.

Definition at line 193 of file QuantUtils.cpp.

References GET_UQTYPE, mlir::Builder::getAttr(), and mlir::Value::getType().

Referenced by buildAvgPool2dOpWithQuantInfo(), and buildUnaryOpWithQuantInfo().

◆ checkHasDynamicBatchDims()

template<typename Op >

std::optional<SmallVector<Value> > mlir::tosa::checkHasDynamicBatchDims	(	PatternRewriter &	rewriter,
		Op	op,
		ArrayRef< Value >	params
	)

Definition at line 49 of file ConversionUtils.h.

◆ clampFloatHelper()

Value mlir::tosa::clampFloatHelper	(	Location	loc,
		Value	arg,
		Value	min,
		Value	max,
		OpBuilder &	rewriter
	)

Definition at line 34 of file ConversionUtils.cpp.

References mlir::OpBuilder::create(), max(), and min().

◆ clampIntHelper()

Value mlir::tosa::clampIntHelper	(	Location	loc,
		Value	arg,
		Value	min,
		Value	max,
		OpBuilder &	rewriter
	)

Definition at line 40 of file ConversionUtils.cpp.

References mlir::OpBuilder::create(), max(), and min().

◆ computeMultiplierAndShift()

void mlir::tosa::computeMultiplierAndShift	(	double	scale,
		int32_t &	multiplier,
		int32_t &	shift,
		int32_t	scaleWidth
	)

From a scale value, computes multiplier and shift values for 16 or 32-bit scale widths.

Generates a quantized multiplier/shift from double.

Definition at line 95 of file QuantUtils.cpp.

References computeMultiplierAndShiftTosaScale16(), and computeMultiplierAndShiftTosaScale32().

◆ condenseValues()

SmallVector< Value > mlir::tosa::condenseValues ( const SmallVector< Value > & values )

Definition at line 26 of file ConversionUtils.cpp.

Referenced by inferDynamicDimsForConv().

◆ createTosaInferShapesPass()

std::unique_ptr< Pass > mlir::tosa::createTosaInferShapesPass ( )

Definition at line 293 of file TosaInferShapes.cpp.

Referenced by addTosaToLinalgPasses().

◆ createTosaLayerwiseConstantFoldPass() [1/2]

std::unique_ptr< Pass > mlir::tosa::createTosaLayerwiseConstantFoldPass ( )

Definition at line 70 of file TosaLayerwiseConstantFoldPass.cpp.

Referenced by addTosaToLinalgPasses().

◆ createTosaLayerwiseConstantFoldPass() [2/2]

std::unique_ptr< Pass > mlir::tosa::createTosaLayerwiseConstantFoldPass ( const TosaLayerwiseConstantFoldPassOptions & options )

Definition at line 75 of file TosaLayerwiseConstantFoldPass.cpp.

References options.

◆ createTosaMakeBroadcastablePass()

std::unique_ptr< Pass > mlir::tosa::createTosaMakeBroadcastablePass ( )

Definition at line 254 of file TosaMakeBroadcastable.cpp.

Referenced by addTosaToLinalgPasses().

◆ createTosaOptionalDecompositions()

std::unique_ptr< Pass > mlir::tosa::createTosaOptionalDecompositions ( )

Definition at line 52 of file TosaOptionalDecompositions.cpp.

Referenced by addTosaToLinalgPasses().

◆ createTosaTestQuantUtilAPIPass()

std::unique_ptr<Pass> mlir::tosa::createTosaTestQuantUtilAPIPass ( )

◆ createTosaToArith()

std::unique_ptr< Pass > mlir::tosa::createTosaToArith	(	bool	includeApplyRescale = `false`,
		bool	use32BitApplyRescale = `false`
	)

Definition at line 57 of file TosaToArithPass.cpp.

References options.

◆ createTosaToLinalg()

std::unique_ptr< Pass > mlir::tosa::createTosaToLinalg ( )

Definition at line 73 of file TosaToLinalgPass.cpp.

Referenced by addTosaToLinalgPasses().

◆ createTosaToLinalgNamed()

std::unique_ptr< Pass > mlir::tosa::createTosaToLinalgNamed ( const TosaToLinalgNamedOptions & options = TosaToLinalgNamedOptions() )

Definition at line 77 of file TosaToLinalgNamedPass.cpp.

References options.

Referenced by addTosaToLinalgPasses().

◆ createTosaToSCF()

std::unique_ptr< Pass > mlir::tosa::createTosaToSCF ( )

Definition at line 51 of file TosaToSCFPass.cpp.

Referenced by addTosaToSCFPasses().

◆ createTosaToTensor()

std::unique_ptr< Pass > mlir::tosa::createTosaToTensor ( )

Definition at line 54 of file TosaToTensorPass.cpp.

◆ EqualizeRanks()

LogicalResult mlir::tosa::EqualizeRanks	(	PatternRewriter &	rewriter,
		Location	loc,
		Value &	input1,
		Value &	input2
	)

Common code to create the reshape op where necessary to make the rank of two values equal.

input1 and input2 will be updated when the rank has changed. The caller is expected to use these to rewrite the original operator with the RESHAPE now in the graph.

Definition at line 104 of file ConversionUtils.cpp.

References mlir::OpBuilder::create(), mlir::failed(), mlir::failure(), mlir::get(), mlir::Builder::getDenseI64ArrayAttr(), mlir::Value::getType(), and mlir::success().