Struct Conv2dLayer 

pub struct Conv2dLayer { /* private fields */ }

2D convolution layer (NHWC layout).

Supports both inference-mode (raw tensor) and graph-mode (autograd training). Kernel shape: [KH, KW, C_in, C_out].

Implementations

impl Conv2dLayer

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

pub fn new_in_graph( graph: &mut Graph, in_channels: usize, out_channels: usize, kernel_h: usize, kernel_w: usize, stride_h: usize, stride_w: usize, weight: Tensor, bias: Option<Tensor>, ) -> Result<Self, ModelError>

Creates a conv2d layer and registers its parameters as graph variables.

pub fn zero_init( in_channels: usize, out_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)

Registers weight/bias tensors as graph variables for autograd training.

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

Synchronizes owned tensors from the graph (e.g. after optimizer step).

pub fn in_channels(&self) -> usize

pub fn out_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 Conv2dLayer

fn clone(&self) -> Conv2dLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Conv2dLayer

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

Formats the value using the given formatter.

impl PartialEq for Conv2dLayer

fn eq(&self, other: &Conv2dLayer) -> 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 Conv2dLayer