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GdnWeights

cortiq_engine::linear_core

Struct GdnWeights

pub struct GdnWeights {
    pub in_proj_qkv: QTensor,
    pub in_proj_z: QTensor,
    pub in_proj_a: QTensor,
    pub in_proj_b: QTensor,
    pub conv1d: Vec<f32>,
    pub a_log: Vec<f32>,
    pub dt_bias: Vec<f32>,
    pub norm: Vec<f32>,
    pub out_proj: QTensor,
}

Expand description

Weights of one GatedDeltaNet layer (model.layers.{i}.linear_attn.*, names 1:1 with the source model — no fold, no training).

Fields§

§in_proj_qkv: QTensor

[2·nk·dk + nv·dv, hidden] — fused q/k/v projection

§in_proj_z: QTensor

[nv·dv, hidden] — output-gate projection z

§in_proj_a: QTensor

[nv, hidden] — decay modulation a

§in_proj_b: QTensor

[nv, hidden] — write-strength b (β = σ(b))

§conv1d: Vec<f32>

[c_dim · kk] — depthwise causal conv taps, flattened [c][tap]

§a_log: Vec<f32>

[nv]

§dt_bias: Vec<f32>

[nv]

§norm: Vec<f32>

[dv] — gated RMSNorm weight (plain x̂·w, validated by the oracle)

§out_proj: QTensor

[hidden, nv·dv]

Auto Trait Implementations§

impl Freeze for GdnWeights

impl RefUnwindSafe for GdnWeights

impl Send for GdnWeights

impl Sync for GdnWeights

impl Unpin for GdnWeights

impl UnsafeUnpin for GdnWeights

impl UnwindSafe for GdnWeights

Blanket Implementations§

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