Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123]

Csinga::_Context
Csinga::lang::_Cpp	To implemente functions using cpp libraries
Csinga::lang::_Cuda	To implemente functions using cuda libraries
Csinga::lang::_Opencl	To implement function using opencl libraries
▼Cbasic_ostringstream
▼Csinga::logging::LogMessage
Csinga::logging::LogMessageFatal
Csinga::Block	Block represent a chunk of memory (on device or host)
Csinga::Channel	Channel for appending metrics or other information into files or screen
Csinga::ChannelManager
Csinga::logging::CheckOpMessageBuilder
Csinga::logging::CheckOpString
Csinga::Constraint	Apply constraints for parameters (gradient)
▼Csinga::Decoder	The base decoder that converts a string into a set of tensors
Csinga::CSVDecoder	Decode the string of csv formated data into data tensor (dtype is kFloat32) and optionally a label tensor (dtype is kInt)
▼Csinga::Device	Allocate memory and execute Tensor operations
Csinga::CppCPU	Represent a CPU device which may have multiple threads/executors
Csinga::DeviceMemPool
▼Csinga::Encoder	Base encoder class that convert a set of tensors into string for storage
Csinga::CSVEncoder	Convert values from tensors into a csv formated string
CFactory< T, ID >	Factory template to generate class (or a sub-class) object based on id
Csinga::FeedForwardNet	The feed-forward neural net
▼Csinga::Initializer
Csinga::init::Constant
Csinga::init::Gaussian
Csinga::init::MSRA	Ref: [He, Zhang, Ren and Sun 2015]: Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Csinga::init::Uniform
Csinga::init::Xavier	Ref: [Bengio and Glorot 2010] Understanding the difficulty of training deep feedforward neural networks
Csinga::Layer	The base layer class
▼Csinga::Loss	The base loss class, which declares the APIs for computing the objective score (loss) for a pair of prediction (from the model) and the target (i.e
Csinga::MSE	MSE is for mean squared error or squared euclidean distance
Csinga::SoftmaxCrossEntropy	Softmax + cross entropy for multi-category classification
▼Csinga::Metric	The base metric class, which declares the APIs for computing the performance evaluation metrics given the prediction of the model and the ground truth, i.e., the target
Csinga::Accuracy	Compute the accuray of the prediction, which is matched against the ground truth labels
▼Csinga::Optimizer	The base class for gradient descent algorithms used to update the model parameters in order to optimize the objective (loss) function
Csinga::AdaGrad
Csinga::Nesterov
Csinga::RMSProp
Csinga::SGD
Csinga::Platform	This class queries all available calculating devices on a given machine grouped according to manufacturer or device drivers
CPriorityQueue< T >	Thread safe priority queue
▼Csinga::io::Reader	General Reader that provides functions for reading tuples
Csinga::io::BinFileReader	Binfilereader reads tuples from binary file with key-value pairs
Csinga::io::TextFileReader	TextFileReader reads tuples from CSV file
CRegistra< Base, Sub, ID >
Csinga::Regularizer	Apply regularization for parameters (gradient), e.g., L1 norm and L2 norm
CSafeQueue< T, Container >	Thread-safe queue
CSafeQueue< Element, std::priority_queue< Element > >
Csinga::Scheduler	Scheduling Tensor operations with dependency detection
CSingleton< T >	Thread-safe implementation for C++11 according to
Csinga::Snapshot	The snapshot management
Csinga::Tensor	A Tensor instance is a multi-dimensional array resident on a Device (default device is the host CPU)
Csinga::Timer	For benchmarking the time cost of operations
Ctinydir_dir
Ctinydir_file	Defined(_TINYDIR_MALLOC)
Csinga::Tokenizer	Tokenize a string
▼Csinga::Transformer	Base apply class that does data transformations in pre-processing stage
Csinga::ImageTransformer
▼Csinga::Updater	Basic Updater class just forward all the method function call to the wrapped Optimizer
Csinga::LocalUpdater	LocalUpdater do gradient aggregation and update gradient calling the wrapped Optimizer on a specific device (i.e., CPU or GPU)
Csinga::VirtualMemory	Manage device memory pool including garbage collection, memory opt
▼Csinga::io::Writer	General Writer that provides functions for writing tuples
Csinga::io::BinFileWriter	BinFile stores training/validation/test tuples
Csinga::io::TextFileWriter	TextFileWriter write training/validation/test tuples in CSV file