Struct Qwen35LinearLayer 

pub struct Qwen35LinearLayer {
    pub attn_norm: Vec<f32>,
    pub attn_post_norm: Vec<f32>,
    pub attn_qkv: MatWeight,
    pub attn_gate: MatWeight,
    pub ssm_conv1d: Vec<f32>,
    pub ssm_dt_bias: Vec<f32>,
    pub ssm_a: Vec<f32>,
    pub ssm_beta: MatWeight,
    pub ssm_alpha: MatWeight,
    pub ssm_norm: Vec<f32>,
    pub ssm_out: MatWeight,
    pub ffn: Qwen35LayerFfn,
}

Gated DeltaNet (“linear attention”) trunk layer. Mirrors qwen35.cpp::load_block_trunk for the is_recurrent(il) branch.

Fields

attn_norm: Vec<f32>

[n_embd]

attn_post_norm: Vec<f32>

[n_embd]

attn_qkv: MatWeight

Fused [gate, x, k, B, C]-style projection: [n_embd, 2*key_dim + value_dim] with key_dim = ssm_state*group_count, value_dim = ssm_state*dt_rank.

attn_gate: MatWeight

[n_embd, value_dim] — z gating projection.

ssm_conv1d: Vec<f32>

Depthwise 1-D conv weights over the fused channels: [ssm_conv_kernel, key_dim*2 + value_dim]. Kept dense — Op::Conv has no packed variant and the conv kernel is tiny vs the projections.

ssm_dt_bias: Vec<f32>

[dt_rank] — delta-t bias.

ssm_a: Vec<f32>

[dt_rank] — A (no-scan; used directly as scalar gate multiplier per head).

ssm_beta: MatWeight

[n_embd, dt_rank] — β projection.

ssm_alpha: MatWeight

[n_embd, dt_rank] — α projection.

ssm_norm: Vec<f32>

[ssm_state] — per-state-row RMS norm gate.

ssm_out: MatWeight

[value_dim, n_embd] — output projection.

ffn: Qwen35LayerFfn

Trait Implementations

impl Clone for Qwen35LinearLayer

fn clone(&self) -> Qwen35LinearLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Qwen35LinearLayer

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

Formats the value using the given formatter.