Struct DepthwiseConv2dLayer 

pub struct DepthwiseConv2dLayer { /* private fields */ }

Depthwise 2D convolution layer (NHWC layout).

Each input channel is convolved with its own filter. Kernel shape: [KH, KW, C, 1].

Implementations

impl DepthwiseConv2dLayer

pub fn new( channels: usize, kernel_h: usize, kernel_w: usize, stride_h: usize, stride_w: usize, weight: Tensor, bias: Option<Tensor>, ) -> Result<Self, ModelError>

pub fn zero_init( channels: usize, kernel_h: usize, kernel_w: usize, stride_h: usize, stride_w: usize, use_bias: bool, ) -> Result<Self, ModelError>

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

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

pub fn channels(&self) -> usize

pub fn kernel_h(&self) -> usize

pub fn kernel_w(&self) -> usize

pub fn stride_h(&self) -> usize

pub fn stride_w(&self) -> usize

pub fn weight(&self) -> &Tensor

pub fn bias(&self) -> Option<&Tensor>

pub fn weight_mut(&mut self) -> &mut Tensor

pub fn bias_mut(&mut self) -> Option<&mut Tensor>

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

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

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 DepthwiseConv2dLayer

fn clone(&self) -> DepthwiseConv2dLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DepthwiseConv2dLayer

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

Formats the value using the given formatter.

impl PartialEq for DepthwiseConv2dLayer

fn eq(&self, other: &DepthwiseConv2dLayer) -> 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 DepthwiseConv2dLayer