Class Hierarchy

Go to the graphical class hierarchy

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

[detail level 123]

Cnz::graph::ComputeGraph	Represents a computational graph, which manages nodes and the computation flow
Cnz::CudaException	A final class that represents CUDA exceptions, inheriting from std::runtime_error
Cnz::data::Dimension	Represents a multi - dimensional shape, typically used in deep learning for tensor dimensions
Cnz::cuStrm::EventPool	Internal event management system for CUDA stream synchronization (Part of StreamManager)
Cnz::data::MappedTensor	A class for representing multidimensional arrays in CUDA zero-copy memory, providing host-accessible container-like interfaces
Cnz::Model	Base class for constructing neural network models with automatic computation graph management
▼Cnz::nodes::Node	Base class for nodes in a neural network or computational graph
Cnz::nodes::calc::AddNode	Represents a node that performs element-wise addition between two input tensors
Cnz::nodes::calc::AveragePoolingNode	Implements average pooling operation for spatial downsampling in neural networks
Cnz::nodes::calc::Col2ImgNode	Reconstructs spatial tensors from column matrices generated by im2col transformation
Cnz::nodes::calc::ELUNode	Represents an Exponential Linear Unit (ELU) activation function node in a computational graph
Cnz::nodes::calc::ExpandNode	Expands tensors with batch size 1 to arbitrary batch dimensions through data replication
Cnz::nodes::calc::GlobalAvgPoolNode	Performs global average pooling operation across spatial dimensions of input tensor
Cnz::nodes::calc::GlobalMaxPoolNode	Performs global max pooling operation across spatial dimensions of input tensor
Cnz::nodes::calc::HardSigmoidNode	Represents a Hard Sigmoid activation function node in a computational graph
Cnz::nodes::calc::HardSwishNode	Represents a Hard Swish activation function node in a computational graph
Cnz::nodes::calc::Img2ColNode	Implements im2col transformation for efficient convolution operations in neural networks
Cnz::nodes::calc::LeakyReLUNode	Represents a Leaky Rectified Linear Unit (LeakyReLU) activation function node in a computational graph
Cnz::nodes::calc::MatMulNode	Represents a matrix multiplication operation node in a computational graph
Cnz::nodes::calc::MaxPoolingNode	Implements max pooling operation for spatial downsampling with feature preservation
Cnz::nodes::calc::ReLUNode	Represents a Rectified Linear Unit (ReLU) operation node in a computational graph
Cnz::nodes::calc::ReshapeNode	Implements tensor shape transformation within a neural network computational graph
Cnz::nodes::calc::ScalarAddNode	Represents a scalar addition operation node in a computational graph
Cnz::nodes::calc::ScalarDivNode	Represents a scalar division operation node in a computational graph
Cnz::nodes::calc::ScalarMulNode	Represents a scalar multiplication operation node in a computational graph
Cnz::nodes::calc::ScalarSubNode	Represents a scalar subtraction operation node in a computational graph
Cnz::nodes::calc::SigmoidNode	Represents a Sigmoid activation function node in a computational graph
Cnz::nodes::calc::SoftmaxNode	Implements the Softmax activation function as a node in a neural network computational graph
Cnz::nodes::calc::SubNode	Represents a subtraction operation node in a computational graph
Cnz::nodes::calc::SwishNode	Represents a Swish activation function node in a computational graph
Cnz::nodes::calc::TanhNode	Represents a hyperbolic tangent (tanh) activation function node in a computational graph
Cnz::nodes::io::InputNode	Represents an input node in a computational graph
▼Cnz::nodes::io::OutputNode	Base class for loss function nodes in a computational graph
Cnz::nodes::loss::BinaryCrossEntropyNode	Represents the Binary Cross-Entropy (BCE) loss function node in a computational graph
Cnz::nodes::loss::MeanSquaredErrorNode	Represents the Mean Squared Error (MSE) loss function node in a computational graph
▼Cnz::opt::Optimizer	Base class for optimization algorithms in deep learning
Cnz::opt::AdaDelta	AdaDelta optimizer for deep learning models
Cnz::opt::AdaGrad	AdaGrad optimizer for deep learning models
Cnz::opt::Adam	Adam optimizer for deep learning models
Cnz::opt::Momentum	Momentum optimizer for deep learning models
Cnz::opt::NAdam	NAdam optimizer for deep learning models
Cnz::opt::RMSprop	RMSprop optimizer for deep learning models
Cnz::opt::SGD	Stochastic Gradient Descent (SGD) optimizer for deep learning models
Cnz::cuStrm::StreamManager< T >	Centralized CUDA stream and resource management system with automatic dependency tracking
Cnz::data::Tensor	A class for representing and manipulating multidimensional arrays (tensors) in GPU memory