This is a header file with common inference engine definitions. More...

#include <algorithm>
#include <cstdlib>
#include <memory>
#include <ostream>
#include <string>
#include <vector>
#include <map>

Data Structures
union	InferenceEngine::UserValue
	The method holds the user values to enable binding of data per graph node. More...

struct	InferenceEngine::InferenceEngineProfileInfo
	Represents basic inference profiling information per layer. More...

struct	InferenceEngine::ResponseDesc
	Represents detailed information for an error. More...

struct	InferenceEngine::QueryNetworkResult
	Response structure encapsulating information about supported layer. More...

class	InferenceEngine::GeneralError
	This class represents StatusCode::GENERIC_ERROR exception. More...

class	InferenceEngine::NotImplemented
	This class represents StatusCode::NOT_IMPLEMENTED exception. More...

class	InferenceEngine::NetworkNotLoaded
	This class represents StatusCode::NETWORK_NOT_LOADED exception. More...

class	InferenceEngine::ParameterMismatch
	This class represents StatusCode::PARAMETER_MISMATCH exception. More...

class	InferenceEngine::NotFound
	This class represents StatusCode::NOT_FOUND exception. More...

class	InferenceEngine::OutOfBounds
	This class represents StatusCode::OUT_OF_BOUNDS exception. More...

class	InferenceEngine::Unexpected
	This class represents StatusCode::UNEXPECTED exception. More...

class	InferenceEngine::RequestBusy
	This class represents StatusCode::REQUEST_BUSY exception. More...

class	InferenceEngine::ResultNotReady
	This class represents StatusCode::RESULT_NOT_READY exception. More...

class	InferenceEngine::NotAllocated
	This class represents StatusCode::NOT_ALLOCATED exception. More...

class	InferenceEngine::InferNotStarted
	This class represents StatusCode::INFER_NOT_STARTED exception. More...

class	InferenceEngine::NetworkNotRead
	This class represents StatusCode::NETWORK_NOT_READ exception. More...

Typedefs
using	InferenceEngine::SizeVector = std::vector< size_t >
	Represents tensor size. More...

using	InferenceEngine::DataPtr = std::shared_ptr< Data >
	Smart pointer to Data.

using	InferenceEngine::CDataPtr = std::shared_ptr< const Data >
	Smart pointer to constant Data.

using	InferenceEngine::DataWeakPtr = std::weak_ptr< Data >
	Smart weak pointer to Data.

Enumerations
enum	InferenceEngine::Layout : uint8_t { InferenceEngine::ANY = 0 , InferenceEngine::NCHW = 1 , InferenceEngine::NHWC = 2 , InferenceEngine::NCDHW = 3 , InferenceEngine::NDHWC = 4 , InferenceEngine::OIHW = 64 , InferenceEngine::GOIHW = 65 , InferenceEngine::OIDHW = 66 , InferenceEngine::GOIDHW = 67 , InferenceEngine::SCALAR = 95 , InferenceEngine::C = 96 , InferenceEngine::CHW = 128 , InferenceEngine::HW = 192 , InferenceEngine::NC = 193 , InferenceEngine::CN = 194 , InferenceEngine::BLOCKED = 200 }
	Layouts that the inference engine supports. More...

enum	InferenceEngine::ColorFormat : uint32_t { InferenceEngine::RAW = 0u , InferenceEngine::RGB , InferenceEngine::BGR , InferenceEngine::RGBX , InferenceEngine::BGRX , InferenceEngine::NV12 , InferenceEngine::I420 }
	Extra information about input color format for preprocessing. More...

enum	InferenceEngine::StatusCode : int { OK = 0 , GENERAL_ERROR = -1 , NOT_IMPLEMENTED = -2 , NETWORK_NOT_LOADED = -3 , PARAMETER_MISMATCH = -4 , NOT_FOUND = -5 , OUT_OF_BOUNDS = -6 , UNEXPECTED = -7 , REQUEST_BUSY = -8 , RESULT_NOT_READY = -9 , NOT_ALLOCATED = -10 , INFER_NOT_STARTED = -11 , NETWORK_NOT_READ = -12 }
	This enum contains codes for all possible return values of the interface functions.

Functions
std::ostream &	InferenceEngine::operator<< (std::ostream &out, const Layout &p)
	Prints a string representation of InferenceEngine::Layout to a stream. More...

std::ostream &	InferenceEngine::operator<< (std::ostream &out, const ColorFormat &fmt)
	Prints a string representation of InferenceEngine::ColorFormat to a stream. More...

Detailed Description

This is a header file with common inference engine definitions.

Typedef Documentation

◆ SizeVector

using InferenceEngine::SizeVector = typedef std::vector<size_t>

Represents tensor size.

The order is opposite to the order in Caffe*: (w,h,n,b) where the most frequently changing element in memory is first.

Enumeration Type Documentation

◆ ColorFormat

enum InferenceEngine::ColorFormat : uint32_t

Extra information about input color format for preprocessing.

Enumerator
RAW	Plain blob (default), no extra color processing required.
RGB	RGB color format.
BGR	BGR color format, default in DLDT.
RGBX	RGBX color format with X ignored during inference.
BGRX	BGRX color format with X ignored during inference.
NV12	NV12 color format represented as compound Y+UV blob.
I420	I420 color format represented as compound Y+U+V blob.

◆ Layout

enum InferenceEngine::Layout : uint8_t

Layouts that the inference engine supports.

Enumerator
ANY	"any" layout
NCHW	NCHW layout for input / output blobs.
NHWC	NHWC layout for input / output blobs.
NCDHW	NCDHW layout for input / output blobs.
NDHWC	NDHWC layout for input / output blobs.
OIHW	NDHWC layout for operation weights.
GOIHW	NDHWC layout for operation weights.
OIDHW	NDHWC layout for operation weights.
GOIDHW	NDHWC layout for operation weights.
SCALAR	A scalar layout.
C	A bias layout for operation.
CHW	A single image layout (e.g. for mean image)
HW	HW 2D layout.
NC	HC 2D layout.
CN	CN 2D layout.
BLOCKED	A blocked layout.

Function Documentation

◆ operator<<() [1/2]

std::ostream& InferenceEngine::operator<<	(	std::ostream &	out,
		const ColorFormat &	fmt
	)

inline

Prints a string representation of InferenceEngine::ColorFormat to a stream.

Parameters

out	An output stream to send to
fmt	A color format value to print to a stream

Returns: A reference to the out stream

◆ operator<<() [2/2]

std::ostream& InferenceEngine::operator<<	(	std::ostream &	out,
		const Layout &	p
	)

inline

Prints a string representation of InferenceEngine::Layout to a stream.