MLIR 22.0.0git
mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT > Class Template Reference
Inheritance diagram for mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >:

Public Types

using Base = ConvertGpuOpsToNVVMOpsBase

Public Member Functions

 ConvertGpuOpsToNVVMOpsBase ()
 ConvertGpuOpsToNVVMOpsBase (const ConvertGpuOpsToNVVMOpsBase &other)
ConvertGpuOpsToNVVMOpsBaseoperator= (const ConvertGpuOpsToNVVMOpsBase &)=delete
 ConvertGpuOpsToNVVMOpsBase (ConvertGpuOpsToNVVMOpsBase &&)=delete
ConvertGpuOpsToNVVMOpsBaseoperator= (ConvertGpuOpsToNVVMOpsBase &&)=delete
 ~ConvertGpuOpsToNVVMOpsBase ()=default
::llvm::StringRef getArgument () const override
 Return the command line argument used when registering this pass.
::llvm::StringRef getDescription () const override
 Return the command line description used when registering this pass.
::llvm::StringRef getName () const override
 Returns the derived pass name.
std::unique_ptr<::mlir::PassclonePass () const override
 A clone method to create a copy of this pass.
void getDependentDialects (::mlir::DialectRegistry &registry) const override
 Return the dialect that must be loaded in the context before this pass.
 ConvertGpuOpsToNVVMOpsBase (ConvertGpuOpsToNVVMOpsOptions options)
 Explicitly declare the TypeID for this class.
Public Member Functions inherited from mlir::OperationPass< gpu::GPUModuleOp >
 ~OperationPass () override=default
Public Member Functions inherited from mlir::Pass
virtual ~Pass ()=default
TypeID getTypeID () const
 Returns the unique identifier that corresponds to this pass.
const PassInfolookupPassInfo () const
 Returns the pass info for this pass, or null if unknown.
virtual void getDependentDialects (DialectRegistry &registry) const
 Register dependent dialects for the current pass.
std::optional< StringRef > getOpName () const
 Returns the name of the operation that this pass operates on, or std::nullopt if this is a generic OperationPass.
virtual LogicalResult initializeOptions (StringRef options, function_ref< LogicalResult(const Twine &)> errorHandler)
 Attempt to initialize the options of this pass from the given string.
void printAsTextualPipeline (raw_ostream &os, bool pretty=false)
 Prints out the pass in the textual representation of pipelines.
ArrayRef< Statistic * > getStatistics () const
 Returns the main statistics for this pass instance.
MutableArrayRef< Statistic * > getStatistics ()
const PassgetThreadingSibling () const
 Returns the thread sibling of this pass.
const PassgetThreadingSiblingOrThis () const
 Returns the thread sibling of this pass, or the pass itself it has no sibling.

Static Public Member Functions

static constexpr ::llvm::StringLiteral getArgumentName ()
 Returns the command-line argument attached to this pass.
static constexpr ::llvm::StringLiteral getPassName ()
 Returns the derived pass name.
static bool classof (const ::mlir::Pass *pass)
 Support isa/dyn_cast functionality for the derived pass class.

Protected Attributes

::mlir::Pass::Option< unsignedindexBitwidth {*this, "index-bitwidth", ::llvm::cl::desc(R"PO(Bitwidth of the index type, 0 to use size of machine word)PO"), ::llvm::cl::init(0)}
::mlir::Pass::Option< boolhasRedux {*this, "has-redux", ::llvm::cl::desc(R"PO(Target gpu supports redux)PO"), ::llvm::cl::init(false)}
::mlir::Pass::Option< booluseBarePtrCallConv {*this, "use-bare-ptr-memref-call-conv", ::llvm::cl::desc(R"PO(Replace memref arguments in GPU functions with bare pointers. All memrefs must have static shape.)PO"), ::llvm::cl::init(false)}
::mlir::Pass::Option< boolallowPatternRollback {*this, "allow-pattern-rollback", ::llvm::cl::desc(R"PO(Experimental performance flag to disallow pattern rollback)PO"), ::llvm::cl::init(true)}
::mlir::Pass::ListOption< std::string > allowedDialects {*this, "allowed-dialects", ::llvm::cl::desc(R"PO(Run conversion patterns of only the specified dialects)PO")}

Friends

std::unique_ptr<::mlir::PasscreateConvertGpuOpsToNVVMOps ()
std::unique_ptr<::mlir::PasscreateConvertGpuOpsToNVVMOps (ConvertGpuOpsToNVVMOpsOptions options)

Additional Inherited Members

Protected Member Functions inherited from mlir::OperationPass< gpu::GPUModuleOp >
 OperationPass (TypeID passID)
OperationPassoperator= (const OperationPass &)=delete
bool canScheduleOn (RegisteredOperationName opName) const final
 Indicate if the current pass can be scheduled on the given operation type.
gpu::GPUModuleOp getOperation ()
 Return the current operation being transformed.
AnalysisT & getAnalysis ()
 Query an analysis for the current operation of the specific derived operation type.
Protected Member Functions inherited from mlir::Pass
 Pass (TypeID passID, std::optional< StringRef > opName=std::nullopt)
 Pass (const Pass &other)
Passoperator= (const Pass &)=delete
 Pass (Pass &&)=delete
Passoperator= (Pass &&)=delete
detail::PassExecutionStategetPassState ()
 Returns the current pass state.
MLIRContextgetContext ()
 Return the MLIR context for the current operation being transformed.
virtual void runOnOperation ()=0
 The polymorphic API that runs the pass over the currently held operation.
virtual LogicalResult initialize (MLIRContext *context)
 Initialize any complex state necessary for running this pass.
virtual bool canScheduleOn (Operation *op) const
LogicalResult runPipeline (OpPassManager &pipeline, Operation *op)
 Schedule an arbitrary pass pipeline on the provided operation.
std::unique_ptr< Passclone () const
 A clone method to create a copy of this pass.
OperationgetOperation ()
 Return the current operation being transformed.
void signalPassFailure ()
 Signal that some invariant was broken when running.
template<typename AnalysisT>
AnalysisT & getAnalysis ()
 Query an analysis for the current ir unit.
template<typename AnalysisT, typename OpT>
AnalysisT & getAnalysis ()
 Query an analysis for the current ir unit of a specific derived operation type.
template<typename AnalysisT>
std::optional< std::reference_wrapper< AnalysisT > > getCachedAnalysis ()
 Query a cached instance of an analysis for the current ir unit if one exists.
void markAllAnalysesPreserved ()
 Mark all analyses as preserved.
template<typename... AnalysesT>
void markAnalysesPreserved ()
 Mark the provided analyses as preserved.
void markAnalysesPreserved (TypeID id)
template<typename AnalysisT>
std::optional< std::reference_wrapper< AnalysisT > > getCachedParentAnalysis (Operation *parent)
 Returns the analysis for the given parent operation if it exists.
template<typename AnalysisT>
std::optional< std::reference_wrapper< AnalysisT > > getCachedParentAnalysis ()
 Returns the analysis for the parent operation if it exists.
template<typename AnalysisT>
std::optional< std::reference_wrapper< AnalysisT > > getCachedChildAnalysis (Operation *child)
 Returns the analysis for the given child operation if it exists.
template<typename AnalysisT>
AnalysisT & getChildAnalysis (Operation *child)
 Returns the analysis for the given child operation, or creates it if it doesn't exist.
template<typename AnalysisT, typename OpTy>
AnalysisT & getChildAnalysis (OpTy child)
 Returns the analysis for the given child operation of specific derived operation type, or creates it if it doesn't exist.
AnalysisManager getAnalysisManager ()
 Returns the current analysis manager.
void copyOptionValuesFrom (const Pass *other)
 Copy the option values from 'other', which is another instance of this pass.
Static Protected Member Functions inherited from mlir::OperationPass< gpu::GPUModuleOp >
static bool classof (const Pass *pass)
 Support isa/dyn_cast functionality.

Detailed Description

template<typename DerivedT>
class mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >

Definition at line 2264 of file LowerGpuOpsToNVVMOps.cpp.

Member Typedef Documentation

◆ Base

template<typename DerivedT>
using mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::Base = ConvertGpuOpsToNVVMOpsBase

Definition at line 2266 of file LowerGpuOpsToNVVMOps.cpp.

Constructor & Destructor Documentation

◆ ConvertGpuOpsToNVVMOpsBase() [1/4]

template<typename DerivedT>
mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::ConvertGpuOpsToNVVMOpsBase ( )
inline

Definition at line 2268 of file LowerGpuOpsToNVVMOps.cpp.

◆ ConvertGpuOpsToNVVMOpsBase() [2/4]

template<typename DerivedT>
mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::ConvertGpuOpsToNVVMOpsBase ( const ConvertGpuOpsToNVVMOpsBase< DerivedT > & other)
inline

Definition at line 2269 of file LowerGpuOpsToNVVMOps.cpp.

◆ ConvertGpuOpsToNVVMOpsBase() [3/4]

template<typename DerivedT>
mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::ConvertGpuOpsToNVVMOpsBase ( ConvertGpuOpsToNVVMOpsBase< DerivedT > && )
delete

◆ ~ConvertGpuOpsToNVVMOpsBase()

template<typename DerivedT>
mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::~ConvertGpuOpsToNVVMOpsBase ( )
default

◆ ConvertGpuOpsToNVVMOpsBase() [4/4]

template<typename DerivedT>
mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::ConvertGpuOpsToNVVMOpsBase ( ConvertGpuOpsToNVVMOpsOptions options)
inline

Explicitly declare the TypeID for this class.

We declare an explicit private instantiation because Pass classes should only be visible by the current library.

Definition at line 2311 of file LowerGpuOpsToNVVMOps.cpp.

Member Function Documentation

◆ classof()

template<typename DerivedT>
bool mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::classof ( const ::mlir::Pass * pass)
inlinestatic

Support isa/dyn_cast functionality for the derived pass class.

Definition at line 2290 of file LowerGpuOpsToNVVMOps.cpp.

◆ clonePass()

template<typename DerivedT>
std::unique_ptr<::mlir::Pass > mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::clonePass ( ) const
inlineoverridevirtual

A clone method to create a copy of this pass.

Implements mlir::Pass.

Definition at line 2295 of file LowerGpuOpsToNVVMOps.cpp.

◆ getArgument()

template<typename DerivedT>
::llvm::StringRef mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::getArgument ( ) const
inlineoverridevirtual

Return the command line argument used when registering this pass.

Return an empty string if one does not exist.

Reimplemented from mlir::Pass.

Definition at line 2279 of file LowerGpuOpsToNVVMOps.cpp.

◆ getArgumentName()

template<typename DerivedT>
constexpr ::llvm::StringLiteral mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::getArgumentName ( )
inlinestatic

Returns the command-line argument attached to this pass.

Definition at line 2276 of file LowerGpuOpsToNVVMOps.cpp.

◆ getDependentDialects()

template<typename DerivedT>
void mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::getDependentDialects ( ::mlir::DialectRegistry & registry) const
inlineoverride

Return the dialect that must be loaded in the context before this pass.

Definition at line 2300 of file LowerGpuOpsToNVVMOps.cpp.

◆ getDescription()

template<typename DerivedT>
::llvm::StringRef mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::getDescription ( ) const
inlineoverridevirtual

Return the command line description used when registering this pass.

Return an empty string if one does not exist.

Reimplemented from mlir::Pass.

Definition at line 2281 of file LowerGpuOpsToNVVMOps.cpp.

◆ getName()

template<typename DerivedT>
::llvm::StringRef mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::getName ( ) const
inlineoverridevirtual

Returns the derived pass name.

Implements mlir::Pass.

Definition at line 2287 of file LowerGpuOpsToNVVMOps.cpp.

◆ getPassName()

template<typename DerivedT>
constexpr ::llvm::StringLiteral mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::getPassName ( )
inlinestatic

Returns the derived pass name.

Definition at line 2284 of file LowerGpuOpsToNVVMOps.cpp.

◆ operator=() [1/2]

template<typename DerivedT>
ConvertGpuOpsToNVVMOpsBase & mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::operator= ( const ConvertGpuOpsToNVVMOpsBase< DerivedT > & )
delete

◆ operator=() [2/2]

template<typename DerivedT>
ConvertGpuOpsToNVVMOpsBase & mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::operator= ( ConvertGpuOpsToNVVMOpsBase< DerivedT > && )
delete

◆ createConvertGpuOpsToNVVMOps [1/2]

template<typename DerivedT>
std::unique_ptr<::mlir::Pass > createConvertGpuOpsToNVVMOps ( )
friend

Definition at line 2326 of file LowerGpuOpsToNVVMOps.cpp.

◆ createConvertGpuOpsToNVVMOps [2/2]

template<typename DerivedT>
std::unique_ptr<::mlir::Pass > createConvertGpuOpsToNVVMOps ( ConvertGpuOpsToNVVMOpsOptions options)
friend

Definition at line 2330 of file LowerGpuOpsToNVVMOps.cpp.

Member Data Documentation

◆ allowedDialects

template<typename DerivedT>
::mlir::Pass::ListOption<std::string> mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::allowedDialects {*this, "allowed-dialects", ::llvm::cl::desc(R"PO(Run conversion patterns of only the specified dialects)PO")}
protected

Definition at line 2323 of file LowerGpuOpsToNVVMOps.cpp.

◆ allowPatternRollback

template<typename DerivedT>
::mlir::Pass::Option<bool> mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::allowPatternRollback {*this, "allow-pattern-rollback", ::llvm::cl::desc(R"PO(Experimental performance flag to disallow pattern rollback)PO"), ::llvm::cl::init(true)}
protected

Definition at line 2322 of file LowerGpuOpsToNVVMOps.cpp.

◆ hasRedux

template<typename DerivedT>
::mlir::Pass::Option<bool> mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::hasRedux {*this, "has-redux", ::llvm::cl::desc(R"PO(Target gpu supports redux)PO"), ::llvm::cl::init(false)}
protected

Definition at line 2320 of file LowerGpuOpsToNVVMOps.cpp.

◆ indexBitwidth

template<typename DerivedT>
::mlir::Pass::Option<unsigned> mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::indexBitwidth {*this, "index-bitwidth", ::llvm::cl::desc(R"PO(Bitwidth of the index type, 0 to use size of machine word)PO"), ::llvm::cl::init(0)}
protected

Definition at line 2319 of file LowerGpuOpsToNVVMOps.cpp.

◆ useBarePtrCallConv

template<typename DerivedT>
::mlir::Pass::Option<bool> mlir::impl::ConvertGpuOpsToNVVMOpsBase< DerivedT >::useBarePtrCallConv {*this, "use-bare-ptr-memref-call-conv", ::llvm::cl::desc(R"PO(Replace memref arguments in GPU functions with bare pointers. All memrefs must have static shape.)PO"), ::llvm::cl::init(false)}
protected

Definition at line 2321 of file LowerGpuOpsToNVVMOps.cpp.


The documentation for this class was generated from the following file: