An optimal implementation of IInferRequestInternal interface to avoid duplication in all plugins This base class is recommended to be used as a base class for plugin synchronous inference request implementation. More...

#include <ie_infer_request_internal.hpp>

Inheritance diagram for InferenceEngine::InferRequestInternal:

Public Types
typedef std::shared_ptr< InferRequestInternal >	Ptr
	A shared pointer to a InferRequestInternal implementation.

Public Types inherited from InferenceEngine::IInferRequestInternal
typedef std::shared_ptr< IInferRequestInternal >	Ptr
	A shared pointer to a IInferRequestInternal interface.

Public Member Functions
	InferRequestInternal (const InputsDataMap &networkInputs, const OutputsDataMap &networkOutputs)
	Constructs a new instance. More...

virtual void	InferImpl ()=0
	The minimal infer function to be implemented by plugins. It infers specified input(s) in synchronous mode. More...

void	Infer () override
	Default common implementation for all plugins with checking input and output blobs before inference.

void	SetBlob (const char *name, const Blob::Ptr &data) override
	Given optional implementation of setting blob to avoid need for it to be implemented by plugin. More...

void	GetBlob (const char *name, Blob::Ptr &data) override
	Given optional implementation of getting blob to avoid need for it to be implemented by plugin. More...

void	SetBlob (const char *name, const Blob::Ptr &data, const PreProcessInfo &info) override
	Sets pre-process for input data. More...

void	GetPreProcess (const char name, const PreProcessInfo *info) const override
	Gets pre-process for input data. More...

void	setPointerToExecutableNetworkInternal (std::shared_ptr< ExecutableNetworkInternal > exeNetwork)
	Sets the pointer to executable network internal. More...

virtual void	checkBlobs ()
	Checks that both inputs and outputs blob are valid. Throws an exception if they are not.

void	SetBatch (int batch) override
	Sets new batch size when dynamic batching is enabled in executable network that created this request. More...

void	execDataPreprocessing (InferenceEngine::BlobMap &inputs, bool serial=false)
	Checks and executes input data pre-processing if needed. More...

Public Member Functions inherited from InferenceEngine::IInferRequestInternal
virtual	~IInferRequestInternal ()=default
	Destroys the object.

virtual void	GetPerformanceCounts (std::map< std::string, InferenceEngineProfileInfo > &perfMap) const =0
	Queries performance measures per layer to get feedback of what is the most time consuming layer. Note: not all plugins may provide meaningful data. More...

Protected Member Functions
bool	findInputAndOutputBlobByName (const char *name, InputInfo::Ptr &foundInput, DataPtr &foundOutput) const
	Helper function to find input or output blob by name. More...

void	checkBlob (const Blob::Ptr &blob, const std::string &name, bool isInput, const SizeVector &refDims={}) const
	Check that `blob` is valid. Throws an exception if it's not. More...

bool	preProcessingRequired (const InputInfo::Ptr &info, const Blob::Ptr &blob)
	Checks whether pre-processing step is required for a given input. More...

Protected Attributes
InferenceEngine::InputsDataMap	_networkInputs
	Holds information about network inputs info.

InferenceEngine::OutputsDataMap	_networkOutputs
	Holds information about network outputs data.

InferenceEngine::BlobMap	_inputs
	A map of network input blobs.

InferenceEngine::BlobMap	_outputs
	A map of network output blobs.

std::map< std::string, PreProcessDataPtr >	_preProcData
	A map of pre-process data per input.

int	m_curBatch
	Current batch value used in dynamic batching.

std::shared_ptr< ExecutableNetworkInternal >	_exeNetwork
	A shared pointer to ExecutableNetworkInternal interface. More...

Detailed Description

An optimal implementation of IInferRequestInternal interface to avoid duplication in all plugins This base class is recommended to be used as a base class for plugin synchronous inference request implementation.

Constructor & Destructor Documentation

◆ InferRequestInternal()

InferenceEngine::InferRequestInternal::InferRequestInternal	(	const InputsDataMap &	networkInputs,
		const OutputsDataMap &	networkOutputs
	)

inline

Constructs a new instance.

Parameters

[in]	networkInputs	The network inputs info
[in]	networkOutputs	The network outputs data

Member Function Documentation

◆ checkBlob()

void InferenceEngine::InferRequestInternal::checkBlob	(	const Blob::Ptr &	blob,
		const std::string &	name,
		bool	isInput,
		const SizeVector &	refDims = `{}`
	)		const

inlineprotected

Check that blob is valid. Throws an exception if it's not.

Parameters

[in]	blob	The blob to check
[in]	name	The name of input or output depending of if the `blob` is input or output
[in]	isInput	Indicates if `is` input
[in]	refDims	The reference dims, empty if not specified

◆ execDataPreprocessing()

void InferenceEngine::InferRequestInternal::execDataPreprocessing	(	InferenceEngine::BlobMap &	inputs,
		bool	serial = `false`
	)

inline

Checks and executes input data pre-processing if needed.

Parameters

inputs	Inputs blobs to perform preprocessing on
serial	Whether to use multiple threads to execute the step

◆ findInputAndOutputBlobByName()

bool InferenceEngine::InferRequestInternal::findInputAndOutputBlobByName	(	const char *	name,
		InputInfo::Ptr &	foundInput,
		DataPtr &	foundOutput
	)		const

inlineprotected

Helper function to find input or output blob by name.

Parameters

name	A name of input or output blob.
foundInput	A pointer to input information if found.
foundOutput	A pointer to output DataPtr if found.

Returns: True - if loaded network has input with provided name, false - if loaded network has output with provided name

Exceptions

[parameter_mismatch]	exception if input and output has the same name
[not_found]	exception if there is no input and output layers with given name

◆ GetBlob()

void InferenceEngine::InferRequestInternal::GetBlob	(	const char *	name,
		Blob::Ptr &	data
	)

inlineoverridevirtual

Given optional implementation of getting blob to avoid need for it to be implemented by plugin.

Parameters

name	- a name of input or output blob.
data	- a reference to input or output blob. The type of Blob must correspond to the network input precision and size.

Note: if ROI blob was previously set it is returned (without dimensions checks) instead of default blob.

Implements InferenceEngine::IInferRequestInternal.

◆ GetPreProcess()

void InferenceEngine::InferRequestInternal::GetPreProcess	(	const char *	name,
		const PreProcessInfo **	info
	)		const

inlineoverridevirtual

Gets pre-process for input data.

Parameters

name	Name of input blob.
info	pointer to a pointer to PreProcessInfo structure

Implements InferenceEngine::IInferRequestInternal.

◆ InferImpl()

virtual void InferenceEngine::InferRequestInternal::InferImpl ( )

pure virtual

The minimal infer function to be implemented by plugins. It infers specified input(s) in synchronous mode.

Note

This method is used in InferRequestInternal::Infer, which calls the common code first and after uses this plugin dependent implementation.
Blocks all method of IInferRequest while request is ongoing (running or waiting in queue)

◆ preProcessingRequired()

bool InferenceEngine::InferRequestInternal::preProcessingRequired	(	const InputInfo::Ptr &	info,
		const Blob::Ptr &	blob
	)

inlineprotected

Checks whether pre-processing step is required for a given input.

Parameters

info	InputInfo corresponding to input blob
blob	Input Blob object corresponding to input info

Returns: True if pre-processing is required, false otherwise

◆ SetBatch()

void InferenceEngine::InferRequestInternal::SetBatch ( int batch )

inlineoverridevirtual

Sets new batch size when dynamic batching is enabled in executable network that created this request.

Parameters

batch - new batch size to be used by all the following inference calls for this request.

Implements InferenceEngine::IInferRequestInternal.

◆ SetBlob() [1/2]

void InferenceEngine::InferRequestInternal::SetBlob	(	const char *	name,
		const Blob::Ptr &	data
	)

inlineoverridevirtual

Given optional implementation of setting blob to avoid need for it to be implemented by plugin.

Parameters

name	- a name of input or output blob.
data	- a reference to input or output blob. The type of Blob must correspond to the network input precision and size.

Implements InferenceEngine::IInferRequestInternal.

◆ SetBlob() [2/2]

void InferenceEngine::InferRequestInternal::SetBlob	(	const char *	name,
		const Blob::Ptr &	data,
		const PreProcessInfo &	info
	)

inlineoverridevirtual

Sets pre-process for input data.

Parameters

name	Name of input blob.
data	- a reference to input or output blob. The type of Blob must correspond to the network input precision and size.
info	Preprocess info for blob.

Implements InferenceEngine::IInferRequestInternal.

◆ setPointerToExecutableNetworkInternal()

void InferenceEngine::InferRequestInternal::setPointerToExecutableNetworkInternal ( std::shared_ptr< ExecutableNetworkInternal > exeNetwork )

inline

Sets the pointer to executable network internal.

Note: Needed to correctly handle ownership between objects.

Parameters

[in] exeNetwork The executable network

Field Documentation

◆ _exeNetwork

std::shared_ptr<ExecutableNetworkInternal> InferenceEngine::InferRequestInternal::_exeNetwork

protected

A shared pointer to ExecutableNetworkInternal interface.

Note: Needed to correctly handle ownership between objects.

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

cpp_interfaces/impl/ie_infer_request_internal.hpp

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

◆ InferRequestInternal()

Member Function Documentation

◆ checkBlob()

◆ execDataPreprocessing()

◆ findInputAndOutputBlobByName()

◆ GetBlob()

◆ GetPreProcess()

◆ InferImpl()

◆ preProcessingRequired()

◆ SetBatch()

◆ SetBlob() [1/2]

◆ SetBlob() [2/2]

◆ setPointerToExecutableNetworkInternal()

Field Documentation

◆ _exeNetwork