Struct CfCCell 

pub struct CfCCell<B: Backend> { /* private fields */ }

A Closed-form Continuous-time cell

This is an RNNCell that processes single time-steps. To get a full RNN that can process sequences, see the full RNN layer implementation.

Type Parameters

• B - The backend type

Implementations

impl<B: Backend> CfCCell<B>

pub fn new(input_size: usize, hidden_size: usize, device: &B::Device) -> Self

Create a new CfC cell

pub fn with_mode(self, mode: CfcMode) -> Self

Set the CfC mode (Default, Pure, or NoGate)

pub fn with_backbone(self, _units: usize, _layers: usize, _dropout: f64) -> Self

Configure backbone (currently a no-op, kept for API compatibility)

pub fn with_activation(self, activation: &str) -> Self

Set the backbone activation (currently a no-op, kept for API compatibility)

pub fn with_sparsity_mask(self, mask: Array2<f32>, device: &B::Device) -> Self

Set a sparsity mask to enforce wiring connectivity

The mask should have shape [hidden_size, hidden_size] and contain 0s for blocked connections and 1s for allowed connections. Note: The mask is transposed internally to match PyTorch convention.

pub fn from_wiring( input_size: usize, wiring: &dyn Wiring, device: &B::Device, ) -> Self

Create a CfC cell from a wiring configuration

pub fn input_size(&self) -> usize

Get input size

pub fn hidden_size(&self) -> usize

Get hidden size

pub fn mode(&self) -> CfcMode

Get current mode

pub fn has_sparsity_mask(&self) -> bool

Check if this cell has a sparsity mask

pub fn forward( &self, input: Tensor<B, 2>, hx: Tensor<B, 2>, ts: f32, ) -> (Tensor<B, 2>, Tensor<B, 2>)

Perform a forward pass through the CfC cell

Trait Implementations

impl<B> AutodiffModule<B> for CfCCell<B>

where B: AutodiffBackend + Backend, <B as AutodiffBackend>::InnerBackend: Backend,

type InnerModule = CfCCell<<B as AutodiffBackend>::InnerBackend>

Inner module without auto-differentiation.

fn valid(&self) -> Self::InnerModule

Get the same module, but on the inner backend without auto-differentiation.

impl<B: Backend> Clone for CfCCell<B>

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<B: Debug + Backend> Debug for CfCCell<B>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<B: Backend> Display for CfCCell<B>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<B: Backend> Module<B> for CfCCell<B>

type Record = CfCCellRecord<B>

Type to save and load the module.

fn load_record(self, record: Self::Record) -> Self

Load the module state from a record.

fn into_record(self) -> Self::Record

Convert the module into a record containing the state.

fn num_params(&self) -> usize

Get the number of parameters the module has, including all of its sub-modules.

fn visit<Visitor: ModuleVisitor<B>>(&self, visitor: &mut Visitor)

Visit each tensor parameter in the module with a visitor.

fn map<Mapper: ModuleMapper<B>>(self, mapper: &mut Mapper) -> Self

Map each tensor parameter in the module with a mapper.

fn collect_devices(&self, devices: Devices<B>) -> Devices<B>

Return all the devices found in the underneath module tree added to the given vector without duplicates.

fn to_device(self, device: &B::Device) -> Self

Move the module and all of its sub-modules to the given device.

fn fork(self, device: &B::Device) -> Self

Fork the module and all of its sub-modules to the given device.

fn devices(&self) -> Vec<<B as Backend>::Device>

Return all the devices found in the underneath module tree without duplicates.

fn no_grad(self) -> Self

Each tensor in the module tree will not require grad.

fn save_file<FR, PB>( self, file_path: PB, recorder: &FR, ) -> Result<(), RecorderError>

where FR: FileRecorder<B>, PB: Into<PathBuf>,

Save the module to a file using the provided file recorder.

fn load_file<FR, PB>( self, file_path: PB, recorder: &FR, device: &<B as Backend>::Device, ) -> Result<Self, RecorderError>

where FR: FileRecorder<B>, PB: Into<PathBuf>,

Load the module from a file using the provided file recorder.

fn quantize_weights<C>(self, quantizer: &mut Quantizer<C>) -> Self

where C: Calibration,

Quantize the weights of the module.

impl<B: Backend> ModuleDisplay for CfCCell<B>

fn format(&self, passed_settings: DisplaySettings) -> String

Formats the module with provided display settings.

fn custom_settings(&self) -> Option<DisplaySettings>

Custom display settings for the module.

fn custom_content(&self, _content: Content) -> Option<Content>

Custom attributes for the module.

impl<B: Backend> ModuleDisplayDefault for CfCCell<B>

fn content(&self, content: Content) -> Option<Content>

Attributes of the module used for display purposes.

fn num_params(&self) -> usize

Gets the number of the parameters of the module.