MLIR 23.0.0git
Macros | Functions
TosaOps.cpp File Reference
#include "mlir/Dialect/Tosa/IR/TosaOps.h"
#include "mlir/Dialect/Quant/IR/Quant.h"
#include "mlir/Dialect/Shard/Interfaces/ShardingInterface.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Tosa/Utils/QuantUtils.h"
#include "mlir/Dialect/Tosa/Utils/ShapeUtils.h"
#include "mlir/Dialect/Utils/IndexingUtils.h"
#include "mlir/Dialect/Utils/VerificationUtils.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/DialectImplementation.h"
#include "mlir/IR/Matchers.h"
#include "mlir/IR/TypeUtilities.h"
#include "mlir/Interfaces/InferTypeOpInterface.h"
#include "mlir/Transforms/InliningUtils.h"
#include "llvm/ADT/APFloat.h"
#include "llvm/ADT/SmallVectorExtras.h"
#include "llvm/ADT/TypeSwitch.h"
#include <numeric>
#include "mlir/Dialect/Tosa/IR/TosaOpsDialect.cpp.inc"
#include "mlir/Dialect/Tosa/Utils/ConversionUtils.h"
#include "mlir/Dialect/Tosa/IR/TosaAvailability.cpp.inc"
#include "mlir/Dialect/Tosa/IR/TosaEnums.cpp.inc"
#include "mlir/Dialect/Tosa/IR/TosaInterfaces.cpp.inc"
#include "mlir/Dialect/Tosa/IR/TosaOpAvailabilityImpl.inc"
#include "mlir/Dialect/Tosa/IR/TosaDialectBytecode.cpp.inc"
#include "mlir/Dialect/Tosa/IR/TosaOpsTypesBase.cpp.inc"
#include "mlir/Dialect/Tosa/IR/TosaOps.cpp.inc"
#include "mlir/Dialect/Tosa/IR/TosaAttributes.cpp.inc"

Go to the source code of this file.

Macros

#define GET_TYPEDEF_LIST
#define GET_OP_LIST
#define GET_ATTRDEF_LIST
#define ZERO_POINT_HELPER(OP, OPERAND_NAME, SIGN_EXTEND)
#define COMPATIBLE_RETURN_TYPES(OP)
#define REDUCE_SHAPE_INFER(OP)
#define NARY_SHAPE_INFER(OP)
#define GET_ATTRDEF_CLASSES
#define GET_TYPEDEF_CLASSES
#define GET_OP_CLASSES

Functions

static SmallVector< int64_t > convertToMlirShape (ArrayRef< int64_t > shape)
static std::optional< int64_t > idivCheck (const int64_t lhs, const int64_t rhs)
static Type getStorageElementTypeOrSelf (Type type)
static Type getStorageElementTypeOrSelf (Value value)
static LogicalResult verifyRescaleValueAndZpTypes (Operation *op, Value val, Value valZp, StringRef name)
LogicalResult tryUpdateDimOrFailure (Operation *op, int64_t &currDim, const int64_t newDim, const StringRef operandName, const StringRef dimName)
LogicalResult verifyConvOutputSize (Operation *op, const int64_t inputSize, const int64_t kernelSize, const int64_t outputSize, const int64_t padBefore, const int64_t padAfter, const int64_t stride, const int64_t dilation, const llvm::StringRef dimName, const llvm::StringRef dimAxis, const llvm::StringRef padBeforeName, const llvm::StringRef padAfterName)
template<typename T>
static LogicalResult verifyConvOp (T op)
template<typename T>
static LogicalResult verifyConvOpModes (T op)
template<typename T>
static LogicalResult verifyConvOpErrorIf (T op)
static LogicalResult errorIfTypeOrShapeMismatch (Operation *op, Type type1, StringRef name1, Type type2, StringRef name2)
static LogicalResult errorIfTypeOrShapeMismatch (Operation *op, ValueRange list1, StringRef name1, ValueRange list2, StringRef name2)
static LogicalResult errorIfShapeNotSizeOne (Operation *op, Type type)
template<typename T>
static LogicalResult verifyVariableOpErrorIf (T op, Type type, StringRef name)
template<typename T>
static LogicalResult verifySameElementTypes (T op, Type aType, Type bType, StringRef aName="input", StringRef bName="output")
template<typename T>
static LogicalResult verifyPoolingOp (T op)
static void buildConvOpWithQuantInfo (OpBuilder &builder, OperationState &result, Type outputType, Value input, Value weight, Value bias, DenseI64ArrayAttr pad, DenseI64ArrayAttr stride, DenseI64ArrayAttr dilation, TypeAttr accType)
 This builder is called on all convolution operators except TransposeConv, which has specialized output shape semantics.
static void buildTransConvOpWithQuantInfo (OpBuilder &builder, OperationState &result, Type outputType, Value input, Value weight, Value bias, DenseI64ArrayAttr outpad, DenseI64ArrayAttr stride, TypeAttr accType)
 Handles tosa.transpose_conv2d which has outpad and output shape attributes.
static void buildMatMulOpWithQuantInfo (OpBuilder &builder, OperationState &result, Type outputType, Value a, Value b)
 The tosa.matmul op is also intended to be generated where a fully_connected op must be constructed where the weight is not a constant.
static void buildAvgPool2dOpWithQuantInfo (OpBuilder &builder, OperationState &result, Type outputType, Value input, DenseArrayAttr kernel, DenseArrayAttr stride, DenseArrayAttr pad, TypeAttr accType)
 Both the tosa.avg_pool2d and unary ops use the same UnaryOpQuantizationAttr but avg_pool operator has its own builder as it has additional parameters not part of the unary ops.
static void buildNegateOpWithQuantInfo (OpBuilder &builder, OperationState &result, Type outputType, Value input)
 This builder is called on single-parameter negate operator to construct input and output zero points based on their types.
static void buildPadOpWithQuantInfo (OpBuilder &builder, OperationState &result, Type outputType, Value input, Value paddings)
 This builder is called on TOSA pad operator that needs to create its own OptionalAttr quantization_attr parameter to scale the padding values correctly.
static void buildVariableOp (OpBuilder &builder, OperationState &result, StringRef name, Type variableType, Attribute initialValue)
static FailureOr< int64_t > resolveBroadcastDim (const int64_t dim1, const int64_t dim2)
static LogicalResult resolveBroadcastShape (const ValueShapeRange &operands, SmallVector< int64_t > &outShape)
static LogicalResult verifyDimIsPowerOfTwo (Operation *op, const int64_t dimSize, const llvm::StringRef dimName)
static FailureOr< int64_t > getZeroPoint (Value val, bool signExtend)
template<typename T>
static LogicalResult verifyZeroPoint (T op, Value val, const int64_t &zp, const std::string &operand)
static LogicalResult verifyZeroPoint (tosa::RescaleOp op, Value zpVal, const int64_t &zp, const std::string &operand)
static LogicalResult ReduceInferReturnTypes (ShapeAdaptor operandShape, Type inputType, IntegerAttr axis, SmallVectorImpl< ShapedTypeComponents > &inferredReturnShapes)
template<typename T>
static LogicalResult verifyReduceOp (T op)
static LogicalResult NAryInferReturnTypes (const ValueShapeRange &operands, SmallVectorImpl< ShapedTypeComponents > &inferredReturnShapes)
static LogicalResult poolingInferReturnTypes (ShapeAdaptor inputShape, ArrayRef< int64_t > kernel, ArrayRef< int64_t > stride, ArrayRef< int64_t > pad, SmallVectorImpl< ShapedTypeComponents > &inferredReturnShapes)
static void printInitializationList (OpAsmPrinter &parser, Block::BlockArgListType blocksArgs, ValueRange initializers, StringRef prefix="")

Macro Definition Documentation

◆ COMPATIBLE_RETURN_TYPES

#define COMPATIBLE_RETURN_TYPES ( OP)
Value:
bool OP::isCompatibleReturnTypes(TypeRange l, TypeRange r) { \
if (l.size() != r.size() || l.size() != 1) \
return false; \
if (getElementTypeOrSelf(l[0]) != getElementTypeOrSelf(r[0])) \
return false; \
return succeeded(verifyCompatibleShape(l[0], r[0])); \
}
mlir::TypeRange
This class provides an abstraction over the various different ranges of value types.
Definition TypeRange.h:37
mlir::getElementTypeOrSelf
Type getElementTypeOrSelf(Type type)
Return the element type or return the type itself.
Definition TypeUtilities.cpp:23
mlir::verifyCompatibleShape
LogicalResult verifyCompatibleShape(ArrayRef< int64_t > shape1, ArrayRef< int64_t > shape2)
Returns success if the given two shapes are compatible.
Definition TypeUtilities.cpp:58

Definition at line 3215 of file TosaOps.cpp.

◆ GET_ATTRDEF_CLASSES

#define GET_ATTRDEF_CLASSES

Definition at line 4995 of file TosaOps.cpp.

◆ GET_ATTRDEF_LIST

#define GET_ATTRDEF_LIST

◆ GET_OP_CLASSES

#define GET_OP_CLASSES

Definition at line 5008 of file TosaOps.cpp.

◆ GET_OP_LIST

#define GET_OP_LIST

◆ GET_TYPEDEF_CLASSES

#define GET_TYPEDEF_CLASSES

Definition at line 5001 of file TosaOps.cpp.

◆ GET_TYPEDEF_LIST

#define GET_TYPEDEF_LIST

◆ NARY_SHAPE_INFER

#define NARY_SHAPE_INFER ( OP)
Value:
LogicalResult OP::inferReturnTypeComponents( \
MLIRContext *context, ::std::optional<Location> location, \
ValueShapeRange operands, DictionaryAttr attributes, \
OpaqueProperties properties, RegionRange regions, \
SmallVectorImpl<ShapedTypeComponents> &inferredReturnShapes) { \
return NAryInferReturnTypes(operands, inferredReturnShapes); \
}
NAryInferReturnTypes
static LogicalResult NAryInferReturnTypes(const ValueShapeRange &operands, SmallVectorImpl< ShapedTypeComponents > &inferredReturnShapes)
Definition TosaOps.cpp:3305
mlir::MLIRContext
MLIRContext is the top-level object for a collection of MLIR operations.
Definition MLIRContext.h:63
mlir::OpaqueProperties
Simple wrapper around a void* in order to express generically how to pass in op properties through AP...
Definition OperationSupport.h:71
mlir::RegionRange
This class provides an abstraction over the different types of ranges over Regions.
Definition Region.h:346
mlir::ValueShapeRange
Range of values and shapes (corresponding effectively to Shapes dialect's ValueShape type concept).
Definition InferTypeOpInterface.h:174

Definition at line 3317 of file TosaOps.cpp.

◆ REDUCE_SHAPE_INFER

#define REDUCE_SHAPE_INFER ( OP)
Value:
LogicalResult OP::inferReturnTypeComponents( \
MLIRContext *context, ::std::optional<Location> location, \
OP::Adaptor adaptor, \
SmallVectorImpl<ShapedTypeComponents> &inferredReturnShapes) { \
Type inputType = \
llvm::cast<TensorType>(adaptor.getInput().getType()).getElementType(); \
ShapeAdaptor inputShape(adaptor.getInput().getType()); \
const Properties &prop = adaptor.getProperties(); \
return ReduceInferReturnTypes(inputShape, inputType, prop.axis, \
inferredReturnShapes); \
} \
COMPATIBLE_RETURN_TYPES(OP)
ReduceInferReturnTypes
static LogicalResult ReduceInferReturnTypes(ShapeAdaptor operandShape, Type inputType, IntegerAttr axis, SmallVectorImpl< ShapedTypeComponents > &inferredReturnShapes)
Definition TosaOps.cpp:3199
mlir::ShapeAdaptor
Adaptor class to abstract the differences between whether value is from a ShapedType or ShapedTypeCom...
Definition InferTypeOpInterface.h:43
mlir::Type
Instances of the Type class are uniqued, have an immutable identifier and an optional mutable compone...
Definition Types.h:74

Definition at line 3224 of file TosaOps.cpp.

◆ ZERO_POINT_HELPER

#define ZERO_POINT_HELPER ( OP,
OPERAND_NAME,
SIGN_EXTEND )
Value:
FailureOr<int64_t> tosa::OP::get##OPERAND_NAME##ZeroPoint() { \
return getZeroPoint(get##OPERAND_NAME##Zp(), SIGN_EXTEND); \
} \
LogicalResult tosa::OP::verify##OPERAND_NAME##ZeroPoint(int64_t zp) { \
return verifyZeroPoint(*this, get##OPERAND_NAME##Zp(), zp, #OPERAND_NAME); \
}
getZeroPoint
static FailureOr< int64_t > getZeroPoint(Value val, bool signExtend)
Definition TosaOps.cpp:2626
verifyZeroPoint
static LogicalResult verifyZeroPoint(T op, Value val, const int64_t &zp, const std::string &operand)
Definition TosaOps.cpp:2654
int64_t
mlir::get
auto get(MLIRContext *context, Ts &&...params)
Helper method that injects context only if needed, this helps unify some of the attribute constructio...
Definition BytecodeImplementation.h:509

Definition at line 2696 of file TosaOps.cpp.

Function Documentation

◆ buildAvgPool2dOpWithQuantInfo()

void buildAvgPool2dOpWithQuantInfo ( OpBuilder & builder,
OperationState & result,
Type outputType,
Value input,
DenseArrayAttr kernel,
DenseArrayAttr stride,
DenseArrayAttr pad,
TypeAttr accType )
static

Both the tosa.avg_pool2d and unary ops use the same UnaryOpQuantizationAttr but avg_pool operator has its own builder as it has additional parameters not part of the unary ops.

Definition at line 1355 of file TosaOps.cpp.

References mlir::tosa::buildUnaryOpQuantizationAttr(), mlir::tosa::createZeroPointTensor(), mlir::emitError(), mlir::Value::getType(), and result.

◆ buildConvOpWithQuantInfo()

void buildConvOpWithQuantInfo ( OpBuilder & builder,
OperationState & result,
Type outputType,
Value input,
Value weight,
Value bias,
DenseI64ArrayAttr pad,
DenseI64ArrayAttr stride,
DenseI64ArrayAttr dilation,
TypeAttr accType )
static

This builder is called on all convolution operators except TransposeConv, which has specialized output shape semantics.

The builder also defines the bitwidth of the output given the bit width of the input & weight content.

Definition at line 1280 of file TosaOps.cpp.

References mlir::tosa::buildConvOpQuantizationAttr(), mlir::tosa::buildConvOpResultTypeInfo(), mlir::tosa::createZPsAsConst(), and result.

◆ buildMatMulOpWithQuantInfo()

void buildMatMulOpWithQuantInfo ( OpBuilder & builder,
OperationState & result,
Type outputType,
Value a,
Value b )
static

The tosa.matmul op is also intended to be generated where a fully_connected op must be constructed where the weight is not a constant.

In this case, the fully_connected op must be expressed using matmul. TODO: Add link to the leglization document explaining this.

Definition at line 1326 of file TosaOps.cpp.

References b, mlir::tosa::buildMatMulOpQuantizationAttr(), mlir::tosa::createZPsAsConst(), mlir::Builder::getI32Type(), mlir::Builder::getIntegerType(), getStorageElementTypeOrSelf(), mlir::Value::getType(), and result.

◆ buildNegateOpWithQuantInfo()

void buildNegateOpWithQuantInfo ( OpBuilder & builder,
OperationState & result,
Type outputType,
Value input )
static

This builder is called on single-parameter negate operator to construct input and output zero points based on their types.

Definition at line 1400 of file TosaOps.cpp.

References mlir::tosa::buildUnaryOpQuantizationAttr(), mlir::tosa::createZeroPointTensor(), mlir::emitError(), mlir::Value::getType(), and result.

◆ buildPadOpWithQuantInfo()

void buildPadOpWithQuantInfo ( OpBuilder & builder,
OperationState & result,
Type outputType,
Value input,
Value paddings )
static

This builder is called on TOSA pad operator that needs to create its own OptionalAttr quantization_attr parameter to scale the padding values correctly.

No pad_const is interpreted as zero-padding.

Definition at line 1440 of file TosaOps.cpp.

References mlir::tosa::buildPadOpQuantizationAttr(), mlir::tosa::createPadConstTensor(), and result.

◆ buildTransConvOpWithQuantInfo()

void buildTransConvOpWithQuantInfo ( OpBuilder & builder,
OperationState & result,
Type outputType,
Value input,
Value weight,
Value bias,
DenseI64ArrayAttr outpad,
DenseI64ArrayAttr stride,
TypeAttr accType )
static

Handles tosa.transpose_conv2d which has outpad and output shape attributes.

Definition at line 1304 of file TosaOps.cpp.

References mlir::tosa::buildConvOpQuantizationAttr(), mlir::tosa::buildConvOpResultTypeInfo(), mlir::tosa::createZPsAsConst(), and result.

◆ buildVariableOp()

void buildVariableOp ( OpBuilder & builder,
OperationState & result,
StringRef name,
Type variableType,
Attribute initialValue )
static

Definition at line 1454 of file TosaOps.cpp.

References mlir::tosa::convertFromMlirShape(), mlir::emitError(), mlir::Builder::getIndexTensorAttr(), mlir::Builder::getStringAttr(), and result.

◆ convertToMlirShape()

SmallVector< int64_t > convertToMlirShape ( ArrayRef< int64_t > shape)
static

Definition at line 138 of file TosaOps.cpp.

Referenced by mlir::tosa::printVariableOpTypeOrInitialValue().

◆ errorIfShapeNotSizeOne()

LogicalResult errorIfShapeNotSizeOne ( Operation * op,
Type type )
inlinestatic

Definition at line 979 of file TosaOps.cpp.

References mlir::ShapeAdaptor::getNumElements(), mlir::ShapeAdaptor::hasRank(), mlir::ShapeAdaptor::hasStaticShape(), and success().

◆ errorIfTypeOrShapeMismatch() [1/2]

LogicalResult errorIfTypeOrShapeMismatch ( Operation * op,
Type type1,
StringRef name1,
Type type2,
StringRef name2 )
static

Definition at line 937 of file TosaOps.cpp.

References mlir::Operation::emitOpError(), success(), and mlir::verifyCompatibleShape().

Referenced by errorIfTypeOrShapeMismatch(), and verifyVariableOpErrorIf().

◆ errorIfTypeOrShapeMismatch() [2/2]

LogicalResult errorIfTypeOrShapeMismatch ( Operation * op,
ValueRange list1,
StringRef name1,
ValueRange list2,
StringRef name2 )
static

Definition at line 961 of file TosaOps.cpp.

References mlir::Operation::emitOpError(), errorIfTypeOrShapeMismatch(), mlir::ValueRange::getTypes(), and success().

◆ getStorageElementTypeOrSelf() [1/2]

Type getStorageElementTypeOrSelf ( Type type)
static

Definition at line 574 of file TosaOps.cpp.

References mlir::getElementTypeOrSelf(), and mlir::tosa::getStorageElementTypeFromQuantized().

Referenced by buildMatMulOpWithQuantInfo(), mlir::tosa::createPadConstTensor(), mlir::tosa::createZeroPointTensor(), getStorageElementTypeOrSelf(), verifyConvOp(), and verifyRescaleValueAndZpTypes().

◆ getStorageElementTypeOrSelf() [2/2]

Type getStorageElementTypeOrSelf ( Value value)
static

Definition at line 581 of file TosaOps.cpp.

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

◆ getZeroPoint()

FailureOr< int64_t > getZeroPoint ( Value val,
bool signExtend )
static

Definition at line 2626 of file TosaOps.cpp.

References mlir::m_Constant(), and mlir::matchPattern().

Referenced by mlir::quant::UniformQuantizedValueConverter::UniformQuantizedValueConverter().

◆ idivCheck()

std::optional< int64_t > idivCheck ( const int64_t lhs,
const int64_t rhs )
static

Definition at line 568 of file TosaOps.cpp.

References lhs, and rhs.

Referenced by mlir::tosa::createTosaValidation(), mlir::tosa::impl::TosaValidationBase< DerivedT >::createTosaValidation, verifyConvOutputSize(), and verifyPoolingOp().

◆ NAryInferReturnTypes()

LogicalResult NAryInferReturnTypes ( const ValueShapeRange & operands,
SmallVectorImpl< ShapedTypeComponents > & inferredReturnShapes )
static

Definition at line 3305 of file TosaOps.cpp.

References resolveBroadcastShape(), and success().

◆ poolingInferReturnTypes()

LogicalResult poolingInferReturnTypes ( ShapeAdaptor inputShape,
ArrayRef< int64_t > kernel,
ArrayRef< int64_t > stride,
ArrayRef< int64_t > pad,
SmallVectorImpl< ShapedTypeComponents > & inferredReturnShapes )
static

Definition at line 3414 of file TosaOps.cpp.

References mlir::ShapeAdaptor::getDimSize(), mlir::ShapeAdaptor::hasRank(), and success().

◆ printInitializationList()

void printInitializationList ( OpAsmPrinter & parser,
Block::BlockArgListType blocksArgs,
ValueRange initializers,
StringRef prefix = "" )
static

Definition at line 4460 of file TosaOps.cpp.

◆ ReduceInferReturnTypes()

LogicalResult ReduceInferReturnTypes ( ShapeAdaptor operandShape,
Type inputType,
IntegerAttr axis,
SmallVectorImpl< ShapedTypeComponents > & inferredReturnShapes )
static

Definition at line 3199 of file TosaOps.cpp.

References mlir::ShapeAdaptor::getDims(), mlir::ShapeAdaptor::getRank(), mlir::ShapeAdaptor::hasRank(), and success().

◆ resolveBroadcastDim()

FailureOr< int64_t > resolveBroadcastDim ( const int64_t dim1,
const int64_t dim2 )
static

Definition at line 1484 of file TosaOps.cpp.

Referenced by resolveBroadcastShape().

◆ resolveBroadcastShape()

LogicalResult resolveBroadcastShape ( const ValueShapeRange & operands,
SmallVector< int64_t > & outShape )
static

Definition at line 1498 of file TosaOps.cpp.

References mlir::ValueShapeRange::getShape(), resolveBroadcastDim(), and success().

Referenced by NAryInferReturnTypes().

◆ tryUpdateDimOrFailure()

LogicalResult tryUpdateDimOrFailure ( Operation * op,
int64_t & currDim,
const int64_t newDim,
const StringRef operandName,
const StringRef dimName )

Definition at line 628 of file TosaOps.cpp.

References mlir::Operation::emitOpError(), and success().

◆ verifyConvOp()

template<typename T>
LogicalResult verifyConvOp ( T op)
static

Definition at line 680 of file TosaOps.cpp.

References mlir::tosa::getStorageElementTypeFromQuantized(), getStorageElementTypeOrSelf(), and success().

◆ verifyConvOpErrorIf()

template<typename T>
LogicalResult verifyConvOpErrorIf ( T op)
static

Definition at line 834 of file TosaOps.cpp.

References success(), and verifyConvOutputSize().

◆ verifyConvOpModes()

template<typename T>
LogicalResult verifyConvOpModes ( T op)
static

Definition at line 785 of file TosaOps.cpp.

References mlir::tosa::getStorageElementTypeFromQuantized(), and success().

◆ verifyConvOutputSize()

LogicalResult verifyConvOutputSize ( Operation * op,
const int64_t inputSize,
const int64_t kernelSize,
const int64_t outputSize,
const int64_t padBefore,
const int64_t padAfter,
const int64_t stride,
const int64_t dilation,
const llvm::StringRef dimName,
const llvm::StringRef dimAxis,
const llvm::StringRef padBeforeName,
const llvm::StringRef padAfterName )

Definition at line 643 of file TosaOps.cpp.

References mlir::Operation::emitOpError(), idivCheck(), and success().

Referenced by verifyConvOpErrorIf().

◆ verifyDimIsPowerOfTwo()

LogicalResult verifyDimIsPowerOfTwo ( Operation * op,
const int64_t dimSize,
const llvm::StringRef dimName )
static

Definition at line 1584 of file TosaOps.cpp.

References mlir::Operation::emitOpError(), and success().

◆ verifyPoolingOp()

template<typename T>
LogicalResult verifyPoolingOp ( T op)
static

Definition at line 1081 of file TosaOps.cpp.

References idivCheck(), and success().

◆ verifyReduceOp()

template<typename T>
LogicalResult verifyReduceOp ( T op)
static

Definition at line 3249 of file TosaOps.cpp.

References mlir::TensorType::getShape(), mlir::TensorType::hasRank(), and success().

◆ verifyRescaleValueAndZpTypes()

LogicalResult verifyRescaleValueAndZpTypes ( Operation * op,
Value val,
Value valZp,
StringRef name )
static

Definition at line 585 of file TosaOps.cpp.

References mlir::Operation::emitOpError(), mlir::Type::getIntOrFloatBitWidth(), getStorageElementTypeOrSelf(), mlir::Value::getType(), and success().

◆ verifySameElementTypes()

template<typename T>
LogicalResult verifySameElementTypes ( T op,
Type aType,
Type bType,
StringRef aName = "input",
StringRef bName = "output" )
static

Definition at line 1015 of file TosaOps.cpp.

References success().

◆ verifyVariableOpErrorIf()

template<typename T>
LogicalResult verifyVariableOpErrorIf ( T op,
Type type,
StringRef name )
static

Definition at line 988 of file TosaOps.cpp.

References errorIfTypeOrShapeMismatch(), mlir::tosa::getVariableType(), mlir::SymbolTable::lookup(), and success().

◆ verifyZeroPoint() [1/2]

template<typename T>
LogicalResult verifyZeroPoint ( T op,
Value val,
const int64_t & zp,
const std::string & operand )
static

Definition at line 2654 of file TosaOps.cpp.

References mlir::getElementTypeOrSelf(), mlir::Type::isInteger(), and success().

◆ verifyZeroPoint() [2/2]

LogicalResult verifyZeroPoint ( tosa::RescaleOp op,
Value zpVal,
const int64_t & zp,
const std::string & operand )
static

Definition at line 2669 of file TosaOps.cpp.

References mlir::getElementTypeOrSelf(), mlir::Type::isInteger(), and success().

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