#include <GpuFsaTensorHandle.hpp>

Inheritance diagram for GpuFsaTensorHandle:

Collaboration diagram for GpuFsaTensorHandle:

Public Member Functions
	GpuFsaTensorHandle (const TensorInfo &tensorInfo)

	GpuFsaTensorHandle (const TensorInfo &tensorInfo, DataLayout dataLayout, MemorySourceFlags importFlags=static_cast< MemorySourceFlags >(MemorySource::Undefined))

arm_compute::CLTensor &	GetTensor () override

arm_compute::CLTensor const &	GetTensor () const override

virtual void	Allocate () override
	Indicate to the memory manager that this resource is no longer active. More...

virtual void	Manage () override
	Indicate to the memory manager that this resource is active. More...

virtual const void *	Map (bool blocking=true) const override
	Map the tensor data for access. More...

virtual void	Unmap () const override
	Unmap the tensor data. More...

virtual ITensorHandle *	GetParent () const override
	Get the parent tensor if this is a subtensor. More...

virtual arm_compute::DataType	GetDataType () const override

virtual void	SetMemoryGroup (const std::shared_ptr< arm_compute::IMemoryGroup > &memoryGroup) override

TensorShape	GetStrides () const override
	Get the strides for each dimension ordered from largest to smallest where the smallest value is the same as the size of a single element in the tensor. More...

TensorShape	GetShape () const override
	Get the number of elements for each dimension ordered from slowest iterating dimension to fastest iterating dimension. More...

void	SetImportFlags (MemorySourceFlags importFlags)

MemorySourceFlags	GetImportFlags () const override
	Get flags describing supported import sources. More...

void	SetImportEnabledFlag (bool importEnabledFlag)

virtual bool	Import (void *, MemorySource source) override
	Import externally allocated memory. More...

virtual bool	CanBeImported (void *, MemorySource) override
	Implementations must determine if this memory block can be imported. More...

Public Member Functions inherited from ITensorHandle
virtual	~ITensorHandle ()

void *	Map (bool blocking=true)
	Map the tensor data for access. More...

void	Unmap ()
	Unmap the tensor data that was previously mapped with call to Map(). More...

virtual void	Unimport ()
	Unimport externally allocated memory. More...

virtual std::shared_ptr< ITensorHandle >	DecorateTensorHandle (const TensorInfo &tensorInfo)
	Returns a decorated version of this TensorHandle allowing us to override the TensorInfo for it. More...

Detailed Description

Definition at line 25 of file GpuFsaTensorHandle.hpp.

Constructor & Destructor Documentation

◆ GpuFsaTensorHandle() [1/2]

GpuFsaTensorHandle ( const TensorInfo & tensorInfo )

inline

Definition at line 28 of file GpuFsaTensorHandle.hpp.

         : m_ImportFlags(static_cast<MemorySourceFlags>(MemorySource::Undefined)),
           m_Imported(false),
           m_IsImportEnabled(false)
     {
         armnn::armcomputetensorutils::BuildArmComputeTensor(m_Tensor, tensorInfo);
     }

References armnn::Undefined.

◆ GpuFsaTensorHandle() [2/2]

GpuFsaTensorHandle	(	const TensorInfo &	tensorInfo,
		DataLayout	dataLayout,
		MemorySourceFlags	importFlags = `static_cast<MemorySourceFlags>(MemorySource::Undefined)`
	)

inline

Definition at line 36 of file GpuFsaTensorHandle.hpp.

         : m_ImportFlags(importFlags),
           m_Imported(false),
           m_IsImportEnabled(false)
     {
         armnn::armcomputetensorutils::BuildArmComputeTensor(m_Tensor, tensorInfo, dataLayout);
     }

Member Function Documentation

◆ Allocate()

void Allocate ( )

inlineoverridevirtual

Indicate to the memory manager that this resource is no longer active.

This is used to compute overlapping lifetimes of resources.

Implements ITensorHandle.

Definition at line 48 of file GpuFsaTensorHandle.hpp.

     {
         // If we have enabled Importing, don't allocate the tensor
         if (m_IsImportEnabled)
         {
             throw MemoryImportException("GpuFsaTensorHandle::Attempting to allocate memory when importing");
         }
         else
         {
             armnn::armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_Tensor);
         }
  
     }

◆ CanBeImported()

bool CanBeImported	(	void *	memory,
		MemorySource	source
	)

inlineoverridevirtual

Implementations must determine if this memory block can be imported.

This might be based on alignment or memory source type.

Returns: true if this memory can be imported.; false by default, cannot be imported.

Reimplemented from ITensorHandle.

Definition at line 131 of file GpuFsaTensorHandle.hpp.

     {
         // This TensorHandle can never import.
         return false;
     }

◆ GetDataType()

virtual arm_compute::DataType GetDataType ( ) const

inlineoverridevirtual

Implements IClTensorHandle.

Definition at line 86 of file GpuFsaTensorHandle.hpp.

     {
         return m_Tensor.info()->data_type();
     }

◆ GetImportFlags()

MemorySourceFlags GetImportFlags ( ) const

inlineoverridevirtual

Get flags describing supported import sources.

Reimplemented from ITensorHandle.

Definition at line 111 of file GpuFsaTensorHandle.hpp.

     {
         return m_ImportFlags;
     }

◆ GetParent()

virtual ITensorHandle* GetParent ( ) const

inlineoverridevirtual

Get the parent tensor if this is a subtensor.

Returns: a pointer to the parent tensor. Otherwise nullptr if not a subtensor.

Implements ITensorHandle.

Definition at line 84 of file GpuFsaTensorHandle.hpp.

84 { return nullptr; }

◆ GetShape()

TensorShape GetShape ( ) const

inlineoverridevirtual

Get the number of elements for each dimension ordered from slowest iterating dimension to fastest iterating dimension.

Returns: a TensorShape filled with the number of elements for each dimension.

Implements ITensorHandle.

Definition at line 101 of file GpuFsaTensorHandle.hpp.

     {
         return armcomputetensorutils::GetShape(m_Tensor.info()->tensor_shape());
     }

◆ GetStrides()

TensorShape GetStrides ( ) const

inlineoverridevirtual

Get the strides for each dimension ordered from largest to smallest where the smallest value is the same as the size of a single element in the tensor.

Returns: a TensorShape filled with the strides for each dimension

Implements ITensorHandle.

Definition at line 96 of file GpuFsaTensorHandle.hpp.

     {
         return armcomputetensorutils::GetStrides(m_Tensor.info()->strides_in_bytes());
     }

◆ GetTensor() [1/2]

arm_compute::CLTensor const& GetTensor ( ) const

inlineoverridevirtual

Implements IClTensorHandle.

Definition at line 47 of file GpuFsaTensorHandle.hpp.

47 { return m_Tensor; }

◆ GetTensor() [2/2]

arm_compute::CLTensor& GetTensor ( )

inlineoverridevirtual

Implements IClTensorHandle.

Definition at line 46 of file GpuFsaTensorHandle.hpp.

46 { return m_Tensor; }

◆ Import()

bool Import	(	void *	memory,
		MemorySource	source
	)

inlineoverridevirtual

Import externally allocated memory.

Parameters

memory	base address of the memory being imported.
source	source of the allocation for the memory being imported.

Returns: true on success or false on failure

Reimplemented from ITensorHandle.

Definition at line 121 of file GpuFsaTensorHandle.hpp.

     {
         if (m_ImportFlags & static_cast<MemorySourceFlags>(source))
         {
             throw MemoryImportException("GpuFsaTensorHandle::Incorrect import flag");
         }
         m_Imported = false;
         return false;
     }

◆ Manage()

void Manage ( )

inlineoverridevirtual

Indicate to the memory manager that this resource is active.

This is used to compute overlapping lifetimes of resources.

Implements ITensorHandle.

Definition at line 62 of file GpuFsaTensorHandle.hpp.

     {
         // If we have enabled Importing, don't manage the tensor
         if (m_IsImportEnabled)
         {
             throw MemoryImportException("GpuFsaTensorHandle::Attempting to manage memory when importing");
         }
         else
         {
             assert(m_MemoryGroup != nullptr);
             m_MemoryGroup->manage(&m_Tensor);
         }
     }

◆ Map()

const void * Map ( bool blocking = true ) const

inlineoverridevirtual

Map the tensor data for access.

Parameters

blocking hint to block the calling thread until all other accesses are complete. (backend dependent)

Returns: pointer to the first element of the mapped data.

Implements ITensorHandle.

Definition at line 76 of file GpuFsaTensorHandle.hpp.

     {
         const_cast<arm_compute::CLTensor*>(&m_Tensor)->map(blocking);
         return static_cast<const void*>(m_Tensor.buffer() + m_Tensor.info()->offset_first_element_in_bytes());
     }

◆ SetImportEnabledFlag()

void SetImportEnabledFlag ( bool importEnabledFlag )

inline

Definition at line 116 of file GpuFsaTensorHandle.hpp.

     {
         m_IsImportEnabled = importEnabledFlag;
     }

◆ SetImportFlags()

void SetImportFlags ( MemorySourceFlags importFlags )

inline

Definition at line 106 of file GpuFsaTensorHandle.hpp.

     {
         m_ImportFlags = importFlags;
     }

◆ SetMemoryGroup()

virtual void SetMemoryGroup ( const std::shared_ptr< arm_compute::IMemoryGroup > & memoryGroup )

inlineoverridevirtual

Implements IClTensorHandle.

Definition at line 91 of file GpuFsaTensorHandle.hpp.

     {
         m_MemoryGroup = PolymorphicPointerDowncast<arm_compute::MemoryGroup>(memoryGroup);
     }

◆ Unmap()

virtual void Unmap ( ) const

inlineoverridevirtual

Unmap the tensor data.

Implements ITensorHandle.

Definition at line 82 of file GpuFsaTensorHandle.hpp.

82 { const_cast<arm_compute::CLTensor*>(&m_Tensor)->unmap(); }

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

src/backends/gpuFsa/GpuFsaTensorHandle.hpp
src/backends/gpuFsa/GpuFsaTensorHandle.cpp

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ GpuFsaTensorHandle() [1/2]

◆ GpuFsaTensorHandle() [2/2]

Member Function Documentation

◆ Allocate()

◆ CanBeImported()

◆ GetDataType()

◆ GetImportFlags()

◆ GetParent()

◆ GetShape()

◆ GetStrides()

◆ GetTensor() [1/2]

◆ GetTensor() [2/2]

◆ Import()

◆ Manage()

◆ Map()

◆ SetImportEnabledFlag()

◆ SetImportFlags()

◆ SetMemoryGroup()

◆ Unmap()