Beatmup::NNets Namespace Reference

Neural nets inference on GPU using OpenGL. More...

Classes
class	Classifier
	Image classifier base class. More...
class	Conv2D
	2D convolution operation computed on GPU. More...
class	Dense
	Dense (linear) layer. More...
class	DeserializedModel
	Model reconstructed from a serialized representation. More...
class	ImageSampler
	Image preprocessing operation. More...
class	InferenceTask
	Task running inference of a Model. More...
class	Model
	Neural net model. More...
class	InferenceTimeError
	Wrapper for exceptions occuring during the model inference. More...
class	AbstractOperation
	Abstract neural net operation (layer). More...
class	SpatialFilteringMixin
	Generates GLSL fragment shader code sampling a local neighborhood around the current texture coordinates for further filtering. More...
class	ActivationFunctionMixin
	A mixin implementing activation functions in GLSL. More...
class	CpuOperation
	Operation computed on CPU. More...
class	Pooling2D
	2D pooling operation computed on GPU. More...
class	Softmax
	Softmax layer. More...
class	Size
	Operation 3D input/output size. More...
class	Storage
	3D tensor stored in a set of textures. More...

Enumerations
enum class	ActivationFunction { DEFAULT , BRELU6 , SIGMOID_LIKE }
	Activation function specification. More...

Functions
ActivationFunction	activationFunctionFromString (const std::string &str)
	Returns a zero padding value from a string. More...
Size::Padding	paddingFromString (const std::string &str)
	Returns a zero padding value from a string. More...

Variables
static const bool	CONV2D_OP_DESERIALIZABLE = Conv2D::initDeserializer()
static const bool	DENSE_OP_DESERIALIZABLE = Dense::initDeserializer()
static const bool	IMAGESAMPLER_OP_DESERIALIZABLE = ImageSampler::initDeserializer()
static const bool	POOLING2D_OP_DESERIALIZABLE = Pooling2D::initDeserializer()
static bool	SOFTMAX_OP_DESERIALIZABLE = Softmax::initDeserializer()

Detailed Description

Neural nets inference on GPU using OpenGL.

Enumeration Type Documentation

ActivationFunction

enum Beatmup::NNets::ActivationFunction

strong

Activation function specification.

Enumerator
DEFAULT	default activation: 0..1 bounded ReLU (identity clipped to 0..1 range)
BRELU6	0.167 times identity clipped to 0..1 range
SIGMOID_LIKE	piecewise-linear sigmoid approximation

Definition at line 401 of file operation.h.

                                      {
            DEFAULT,        //!< default activation: 0..1 bounded ReLU (identity clipped to 0..1 range)
            BRELU6,         //!< 0.167 times identity clipped to 0..1 range
            SIGMOID_LIKE    //!< piecewise-linear sigmoid approximation
        };

Function Documentation

activationFunctionFromString()

ActivationFunction Beatmup::NNets::activationFunctionFromString

(

const std::string &

str

)

Returns a zero padding value from a string.

The conversion is case-insensitive. Raises an exception if cannot interpret the string.

Parameters

[in]

str

The input string

Definition at line 329 of file operation.cpp.

                                                                           {
    const std::string lc = StringUtils::lowercase(str);
    if (lc == "default")
        return ActivationFunction::DEFAULT;
    if (lc == "brelu6")
        return ActivationFunction::BRELU6;
    if (lc == "sigmoid_like")
        return ActivationFunction::SIGMOID_LIKE;
    throw InvalidArgument("Invalid activation function: " + str);
    return ActivationFunction::DEFAULT;
}

paddingFromString()

Size::Padding Beatmup::NNets::paddingFromString

(

const std::string &

str

)

Returns a zero padding value from a string.

The conversion is case-insensitive. Raises an exception if cannot interpret the string.

Parameters

[in]

str

The input string.

Definition at line 703 of file storage.cpp.

                                                         {
    const std::string lc = StringUtils::lowercase(str);
    if (lc == "valid")
        return Size::Padding::VALID;
    if (lc == "same")
        return Size::Padding::SAME;
    throw InvalidArgument("Invalid padding: " + str);
    return Size::Padding::VALID;
}

Variable Documentation

CONV2D_OP_DESERIALIZABLE

const bool Beatmup::NNets::CONV2D_OP_DESERIALIZABLE = Conv2D::initDeserializer()

static

Definition at line 166 of file conv2d.h.

DENSE_OP_DESERIALIZABLE

const bool Beatmup::NNets::DENSE_OP_DESERIALIZABLE = Dense::initDeserializer()

static

Definition at line 105 of file dense.h.

IMAGESAMPLER_OP_DESERIALIZABLE

const bool Beatmup::NNets::IMAGESAMPLER_OP_DESERIALIZABLE = ImageSampler::initDeserializer()

static

Definition at line 116 of file image_sampler.h.

POOLING2D_OP_DESERIALIZABLE

const bool Beatmup::NNets::POOLING2D_OP_DESERIALIZABLE = Pooling2D::initDeserializer()

static

Definition at line 116 of file pooling2d.h.

SOFTMAX_OP_DESERIALIZABLE

bool Beatmup::NNets::SOFTMAX_OP_DESERIALIZABLE = Softmax::initDeserializer()

static

Definition at line 76 of file softmax.h.