ie_layers.h File Reference

a header file for internal Layers structure to describe layers information More...

#include <memory>
#include <string>
#include <vector>
#include <algorithm>
#include <map>
#include <iterator>
#include <cctype>
#include "ie_common.h"
#include "ie_data.h"
#include "ie_blob.h"
#include "ie_device.hpp"
#include "ie_layers_property.hpp"

Go to the source code of this file.

Data Structures
struct	InferenceEngine::LayerParams
	This is an internal common Layer parameter parsing arguments. More...
class	InferenceEngine::CNNLayer
	This is a base abstraction Layer - all DNN Layers inherit from this class. More...
class	InferenceEngine::WeightableLayer
	This class represents a layer with Weights and/or Biases (e.g. Convolution/Fully Connected, etc.) More...
class	InferenceEngine::ConvolutionLayer
	This class represents a standard 3D Convolution Layer. More...
class	InferenceEngine::DeconvolutionLayer
	This class represents a standard deconvolution layer. More...
class	InferenceEngine::PoolingLayer
	This class represents a standard pooling layer. More...
class	InferenceEngine::FullyConnectedLayer
	This class represents a fully connected layer. More...
class	InferenceEngine::ConcatLayer
	This class represents concatenation layer Takes as input several data elements and merges them to one using the supplied axis. More...
class	InferenceEngine::SplitLayer
	This class represents a layer that evenly splits the input into the supplied outputs. More...
class	InferenceEngine::NormLayer
	This class represents a Linear Response Normalization (LRN) Layer. More...
class	InferenceEngine::SoftMaxLayer
	This class represents standard softmax Layer. More...
class	InferenceEngine::GRNLayer
	This class represents standard GRN Layer. More...
class	InferenceEngine::MVNLayer
	This class represents standard MVN Layer. More...
class	InferenceEngine::ReLULayer
	This class represents a Rectified Linear activation layer. More...
class	InferenceEngine::ClampLayer
	This class represents a Clamp activation layer Clamps all tensor elements into the range [min_value, max_value]. More...
class	InferenceEngine::EltwiseLayer
	This class represents an element wise operation layer. More...
class	InferenceEngine::CropLayer
	This class represents a standard crop layer. More...
class	InferenceEngine::ReshapeLayer
	This class represents a standard reshape layer. More...
class	InferenceEngine::TileLayer
	This class represents a standard Tile Layer. More...
class	InferenceEngine::ScaleShiftLayer
	This class represents a Layer which performs Scale and Shift. More...
class	InferenceEngine::TensorIterator
	This class represents TensorIterator layer. More...
struct	InferenceEngine::TensorIterator::PortMap
struct	InferenceEngine::TensorIterator::Body
class	InferenceEngine::PReLULayer
	This class represents a Layer which performs Scale and Shift. More...
class	InferenceEngine::PowerLayer
	This class represents a standard Power Layer Formula is: output = (offset + scale * input) ^ power. More...
class	InferenceEngine::BatchNormalizationLayer
	This class represents a Batch Normalization Layer. More...
class	InferenceEngine::GemmLayer
	This class represents a general matrix multiplication operation layer Formula is: dst := alpha*src1*src2 + beta*src3. More...
class	InferenceEngine::PadLayer
	This class represents a standard Pad layer Adds paddings to input tensor. More...
class	InferenceEngine::GatherLayer
	This class represents a standard Gather layer Gather slices from Dictionary according to Indexes. More...

Macros
#define	DEFINE_PROP(prop_name)
	convinenent way to declare property with backward compatibility to 2D members More...

Typedefs
using	InferenceEngine::GenericLayer = class CNNLayer
	Alias for CNNLayer object.

Detailed Description

a header file for internal Layers structure to describe layers information

Macro Definition Documentation

DEFINE_PROP

#define DEFINE_PROP

(

prop_name

)

Value:

PropertyVector<unsigned int> prop_name;\
unsigned int &prop_name##_x = prop_name.at(X_AXIS);\
unsigned int &prop_name##_y = prop_name.at(Y_AXIS);\

convinenent way to declare property with backward compatibility to 2D members