This class implements a container object that represents a tensor in memory (host and remote/accelerated) More...

#include <ie_blob.h>

Inheritance diagram for InferenceEngine::MemoryBlob:

Collaboration diagram for InferenceEngine::MemoryBlob:

Public Types
using	Ptr = std::shared_ptr< MemoryBlob >
	A smart pointer to the MemoryBlob object.

using	CPtr = std::shared_ptr< const MemoryBlob >
	A smart pointer to the const MemoryBlob object.

Public Types inherited from InferenceEngine::Blob
using	Ptr = std::shared_ptr< Blob >
	A smart pointer containing Blob object.

using	CPtr = std::shared_ptr< const Blob >
	A smart pointer to the const Blob object.

Public Member Functions
virtual	~MemoryBlob ()
	MemoryBlob virtual destructor.

	MemoryBlob (const TensorDesc &tensorDesc)
	Constructor. Creates an empty MemoryBlob object with the specified precision. More...

const TensorDesc &	getTensorDesc () const noexcept override
	Returns the tensor description.

TensorDesc &	getTensorDesc () noexcept override
	Returns the tensor description.

size_t	size () const noexcept override
	Returns the total number of elements, which is a product of all the dimensions.

size_t	byteSize () const noexcept override
	Returns the size of the current Blob in bytes.

size_t	element_size () const noexcept override=0
	Returns the number of bytes per element. The overall MemoryBlob capacity is size() * element_size(). Abstract method.

void	allocate () noexcept override=0
	Allocates memory to store the data. Abstract method.

bool	deallocate () noexcept override=0
	Releases previously allocated data. Abstract method.

LockedMemory< void >	buffer () noexcept override=0
	Gets access to the allocated memory. Abstract method. More...

LockedMemory< const void >	cbuffer () const noexcept override=0
	Gets read-only access to the allocated memory. Abstract method. More...

Public Member Functions inherited from InferenceEngine::Blob
virtual	~Blob ()
	Blob virtual destructor.

template<typename T , typename std::enable_if<!std::is_pointer< T >::value &&!std::is_reference< T >::value, int >::type = 0, typename std::enable_if< std::is_base_of< Blob, T >::value, int >::type = 0>
bool	is () noexcept
	Checks if the Blob object can be cast to the type T*. More...

template<typename T , typename std::enable_if<!std::is_pointer< T >::value &&!std::is_reference< T >::value, int >::type = 0, typename std::enable_if< std::is_base_of< Blob, T >::value, int >::type = 0>
bool	is () const noexcept
	Checks if the Blob object can be cast to the type const T*. More...

template<typename T , typename std::enable_if<!std::is_pointer< T >::value &&!std::is_reference< T >::value, int >::type = 0, typename std::enable_if< std::is_base_of< Blob, T >::value, int >::type = 0>
T *	as () noexcept
	Casts this Blob object to the type T*. Use InferenceEngine::as() to operate with shared Blob objects instead of raw pointers. More...

template<typename T , typename std::enable_if<!std::is_pointer< T >::value &&!std::is_reference< T >::value, int >::type = 0, typename std::enable_if< std::is_base_of< Blob, T >::value, int >::type = 0>
const T *	as () const noexcept
	Casts this Blob object to the type const T*. Use InferenceEngine::as() to operate with shared Blob objects instead of raw pointers. More...

	Blob (const TensorDesc &tensorDesc)
	Constructor. Creates an empty Blob object with the specified precision. More...

Protected Member Functions
const std::shared_ptr< IAllocator > &	getAllocator () const noexcept override=0
	Gets the allocator for allocator-based blobs. More...

void *	getHandle () const noexcept override=0
	Gets the handle to allocated memory. More...

Friends
template<typename >
class	TBlobProxy

Additional Inherited Members
Static Public Member Functions inherited from InferenceEngine::Blob
static Ptr	CreateFromData (const DataPtr &data)
	Creates a TBlob<> object from a Data node. More...

Static Protected Member Functions inherited from InferenceEngine::Blob
static size_t	product (const SizeVector &dims) noexcept
	Multiplies the dimension vector's values. More...

Protected Attributes inherited from InferenceEngine::Blob
TensorDesc	tensorDesc
	The tensor descriptor of the given blob.

Detailed Description

This class implements a container object that represents a tensor in memory (host and remote/accelerated)

Note: Any Blob implementation that represents a concept of a tensor in memory (for example, TBlob) must be a subclass of MemoryBlob instead of Blob