Struct Conv1dLayer 

pub struct Conv1dLayer { /* private fields */ }

1D convolution layer (NLC layout: [batch, length, channels]).

Kernel shape: [K, C_in, C_out].

Implementations

impl Conv1dLayer

pub fn new( in_channels: usize, out_channels: usize, kernel_size: usize, stride: usize, weight: Tensor, bias: Option<Tensor>, ) -> Result<Self, ModelError>

pub fn kernel_size(&self) -> usize

pub fn kernel(&self) -> &Tensor

pub fn in_channels(&self) -> usize

pub fn out_channels(&self) -> usize

pub fn stride(&self) -> usize

pub fn weight_node(&self) -> Option<NodeId>

pub fn bias_node(&self) -> Option<NodeId>

pub fn register_params(&mut self, graph: &mut Graph)

pub fn forward( &self, graph: &mut Graph, input: NodeId, ) -> Result<NodeId, ModelError>

pub fn forward_inference(&self, input: &Tensor) -> Result<Tensor, ModelError>

Trait Implementations

impl Clone for Conv1dLayer

fn clone(&self) -> Conv1dLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Conv1dLayer

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

Formats the value using the given formatter.

impl PartialEq for Conv1dLayer

fn eq(&self, other: &Conv1dLayer) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Conv1dLayer