Re-exports§
pub use function_registry::FuncMeta;pub use function_registry::FunctionRegistry;pub use fingerprint::fingerprint_sha256_hex;pub use fingerprint::to_canonical_json;pub use observability::CacheStats;pub use observability::ExecutionContext;pub use observability::InMemoryProfiler;pub use observability::Profiler;pub use kernel_cache::KernelCache;pub use partitioner::GreedyPartitioner;pub use partitioner::Op;pub use partitioner::Partitioner;pub use partitioner::Segment;pub use calibration::Calibration;pub use models::NeuronDef;pub use models::StageDef;pub use signature::InMemoryTrustStore;pub use signature::TrustStore;pub use signature::verify_manifest;pub use precompile_worker::CancelHandle;pub use precompile_worker::CancellationToken;pub use precompile_worker::CompileFn;pub use precompile_worker::CompileTask;pub use precompile_worker::PrecompileService;pub use precompile_worker::spawn_precompile_worker;pub use loss::BCELoss;pub use loss::HuberLoss;pub use loss::LossFunction;pub use loss::MAELoss;pub use loss::MSELoss;pub use nn::Parameter;pub use nn::ParameterStore;pub use nn::ReLU as NNReLU;pub use nn::Sigmoid as NNSigmoid;pub use nn::Tanh as NNTanh;pub use nn::TrainableNeuron;pub use node::ConcatNode;pub use node::MergeNode;pub use node::ReshapeNode;pub use node::Node;pub use node::Sequential;pub use node::StageNode;pub use node::TickCtx;pub use optimizer::Adam;pub use optimizer::Optimizer;pub use optimizer::RMSprop;pub use optimizer::SGD;pub use self_learning_lightning::PerformanceStats;pub use self_learning_lightning::SelfLearningConfig;pub use self_learning_lightning::SelfLearningLightningStrike;pub use tensor::Arity;pub use tensor::DType;pub use tensor::PortId;pub use tensor::PortSpec;pub use tensor::PortTensors;pub use tensor::Shape;pub use tensor::Tensor;pub use tensor::validate_port_tensors;pub use training::Dataset;pub use training::EpochMetrics;pub use training::Trainer;pub use training::TrainingConfig;pub use training::TrainingExample;pub use training::TrainingHistory;pub use training::evaluate_model;
Modules§
- calibration
- constraint_
parser - Constraint Parser - Converts LLM responses into ConstraintIR
- cpu_
backend - fingerprint
- function_
registry - kernel_
cache - loss
- Loss Functions for Neural Network Training
- models
- Models and serialization helpers.
- nn
- Neural Network Training Infrastructure
- node
- observability
- optimizer
- Neural Network Optimizers
- partitioner
- precompile_
worker - self_
learning_ lightning - Self-Learning Lightning Strike
- signature
- tensor
- training
- Training Infrastructure for Neural Networks