Struct LTCCell 

pub struct LTCCell<B: Backend> {

    pub gleak: Param<Tensor<B, 1>>,
    pub vleak: Param<Tensor<B, 1>>,
    pub cm: Param<Tensor<B, 1>>,
    pub sigma: Param<Tensor<B, 2>>,
    pub mu: Param<Tensor<B, 2>>,
    pub w: Param<Tensor<B, 2>>,
    pub erev: Param<Tensor<B, 2>>,
    pub sensory_sigma: Param<Tensor<B, 2>>,
    pub sensory_mu: Param<Tensor<B, 2>>,
    pub sensory_w: Param<Tensor<B, 2>>,
    pub sensory_erev: Param<Tensor<B, 2>>,
    pub sparsity_mask: Param<Tensor<B, 2>>,
    pub sensory_sparsity_mask: Param<Tensor<B, 2>>,
    pub input_w: Option<Param<Tensor<B, 1>>>,
    pub input_b: Option<Param<Tensor<B, 1>>>,
    pub output_w: Option<Param<Tensor<B, 1>>>,
    pub output_b: Option<Param<Tensor<B, 1>>>,
    /* private fields */
}

Liquid Time-Constant (LTC) Cell

Fields

gleak: Param<Tensor<B, 1>>

Leak conductance (must be positive)

vleak: Param<Tensor<B, 1>>

Leak reversal potential

cm: Param<Tensor<B, 1>>

Membrane capacitance (must be positive)

sigma: Param<Tensor<B, 2>>

Sigmoid center parameter for internal synapses

mu: Param<Tensor<B, 2>>

Sigmoid steepness parameter for internal synapses

w: Param<Tensor<B, 2>>

Synaptic weights for internal synapses (must be positive)

erev: Param<Tensor<B, 2>>

Reversal potentials for internal synapses (from wiring)

sensory_sigma: Param<Tensor<B, 2>>

Sigmoid center parameter for sensory synapses

sensory_mu: Param<Tensor<B, 2>>

Sigmoid steepness parameter for sensory synapses

sensory_w: Param<Tensor<B, 2>>

Synaptic weights for sensory synapses (must be positive)

sensory_erev: Param<Tensor<B, 2>>

Reversal potentials for sensory synapses (from wiring)

sparsity_mask: Param<Tensor<B, 2>>

Sparsity mask for internal synapses (non-trainable)

sensory_sparsity_mask: Param<Tensor<B, 2>>

Sparsity mask for sensory synapses (non-trainable)

input_w: Option<Param<Tensor<B, 1>>>

Input weight for mapping

input_b: Option<Param<Tensor<B, 1>>>

Input bias for mapping

output_w: Option<Param<Tensor<B, 1>>>

Output weight for mapping

output_b: Option<Param<Tensor<B, 1>>>

Output bias for mapping

Implementations

impl<B: Backend> LTCCell<B>

pub fn new( wiring: &dyn Wiring, sensory_size: Option<usize>, device: &B::Device, ) -> Self

Creates a new LTC Cell with the given wiring configuration

pub fn with_ode_unfolds(self, unfolds: usize) -> Self

pub fn with_epsilon(self, epsilon: f64) -> Self

pub fn with_input_mapping(self, mode: MappingMode, device: &B::Device) -> Self

Set input mapping mode (affine, linear, or none)

pub fn with_output_mapping(self, mode: MappingMode, device: &B::Device) -> Self

Set output mapping mode (affine, linear, or none)

pub fn state_size(&self) -> usize

pub fn motor_size(&self) -> usize

pub fn sensory_size(&self) -> usize

pub fn synapse_count(&self) -> usize

pub fn sensory_synapse_count(&self) -> usize

pub fn apply_weight_constraints(&mut self)

Apply weight constraints (clamp positive parameters to be >= 0)

impl<B: Backend> LTCCell<B>

pub fn forward( &self, inputs: Tensor<B, 2>, states: Tensor<B, 2>, elapsed_time: Tensor<B, 1>, ) -> (Tensor<B, 2>, Tensor<B, 2>)

Trait Implementations

impl<B> AutodiffModule<B> for LTCCell<B>

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

type InnerModule = LTCCell<<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 LTCCell<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 LTCCell<B>

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

Formats the value using the given formatter.

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

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

Formats the value using the given formatter.

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

type Record = LTCCellRecord<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 LTCCell<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 LTCCell<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.