This class represents a blob that contains other blobs - one per batch. More...

#include <ie_compound_blob.h>

Inheritance diagram for InferenceEngine::BatchedBlob:

Collaboration diagram for InferenceEngine::BatchedBlob:

[legend]

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

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

Public Types inherited from InferenceEngine::CompoundBlob
using	Ptr = std::shared_ptr< CompoundBlob >
	A smart pointer to the CompoundBlob object.

using	CPtr = std::shared_ptr< const CompoundBlob >
	A smart pointer to the const CompoundBlob 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
	BatchedBlob (const std::vector< Blob::Ptr > &blobs)
	Constructs a batched blob from a vector of blobs. More...

	BatchedBlob (std::vector< Blob::Ptr > &&blobs)
	Constructs a batched blob from a vector of blobs. More...

Public Member Functions inherited from InferenceEngine::CompoundBlob
	CompoundBlob (const std::vector< Blob::Ptr > &blobs)
	Constructs a compound blob from a vector of blobs. More...

	CompoundBlob (std::vector< Blob::Ptr > &&blobs)
	Constructs a compound blob from a vector of blobs. More...

size_t	byteSize () const noexcept override
	Always returns `0` More...

size_t	element_size () const noexcept override
	Always returns `0` More...

void	allocate () noexcept override
	No operation is performed. Compound blob does not allocate/deallocate any data.

bool	deallocate () noexcept override
	No operation is performed. Compound blob does not allocate/deallocate any data. More...

LockedMemory< void >	buffer () noexcept override
	Always returns an empty LockedMemory object.

LockedMemory< const void >	cbuffer () const noexcept override
	Always returns an empty LockedMemory object.

size_t	size () const noexcept override
	Returns the number of underlying blobs in the compound blob.

virtual Blob::Ptr	getBlob (size_t i) const noexcept
	Returns an underlying blob at index i. More...

Blob::Ptr	createROI (const ROI &roi) const override
	Creates a blob describing given ROI object based on the current blob with memory sharing. 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*. 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*. More...

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

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

virtual TensorDesc &	getTensorDesc () noexcept
	Returns the tensor description. More...

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...

Protected Member Functions inherited from InferenceEngine::CompoundBlob
	CompoundBlob (const TensorDesc &tensorDesc)
	Constructs a compound blob with specified descriptor. More...

const std::shared_ptr< IAllocator > &	getAllocator () const noexcept override
	Returns nullptr as CompoundBlob is not allocator-based.

void *	getHandle () const noexcept override
	Returns nullptr as CompoundBlob is not allocator-based.

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

Protected Attributes inherited from InferenceEngine::CompoundBlob
std::vector< Blob::Ptr >	_blobs
	Compound blob container for underlying blobs.

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

Detailed Description

This class represents a blob that contains other blobs - one per batch.

Plugin which supports BatchedBlob input should report BATCHED_BLOB in the OPTIMIZATION_CAPABILITIES metric.

Constructor & Destructor Documentation

◆ BatchedBlob() [1/2]

InferenceEngine::BatchedBlob::BatchedBlob ( const std::vector< Blob::Ptr > & blobs )

explicit

Constructs a batched blob from a vector of blobs.

All passed blobs should meet following requirements:

all blobs have equal tensor descriptors,
blobs layouts should be one of: NCHW, NHWC, NCDHW, NDHWC, NC, CN, C, CHW, HWC
batch dimensions should be equal to 1 or not defined (C, CHW, HWC). Resulting blob's tensor descriptor is constructed using tensor descriptors of passed blobs by setting batch dimension to blobs.size()

Parameters

blobs A vector of blobs that is copied to this object

◆ BatchedBlob() [2/2]

InferenceEngine::BatchedBlob::BatchedBlob ( std::vector< Blob::Ptr > && blobs )

explicit

Constructs a batched blob from a vector of blobs.

All passed blobs should meet following requirements:

all blobs have equal tensor descriptors,
blobs layouts should be one of: NCHW, NHWC, NCDHW, NDHWC, NC, CN, C, CHW, HWC
batch dimensions should be equal to 1 or not defined (C, CHW, HWC). Resulting blob's tensor descriptor is constructed using tensor descriptors of passed blobs by setting batch dimension to blobs.size()

Parameters

blobs A vector of blobs that is moved to this object

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

ie_compound_blob.h

Public Types

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ BatchedBlob() [1/2]

◆ BatchedBlob() [2/2]