Function silu_mul_strided 

pub fn silu_mul_strided(
    gpu: &dyn GpuBackend,
    kernel: KernelHandle,
    gate: DevicePtr,
    up: DevicePtr,
    output: DevicePtr,
    rows: u32,
    cols: u32,
    in_stride: u32,
    out_stride: u32,
    stream: u64,
) -> Result<()>

silu_mul over ROW-STRIDED operands — the consumer of the fused dense-FFN gate+up projection (#927).

gate and up are two column halves of ONE [rows, in_stride] BF16 matrix (up = gate.offset(cols * 2), in_stride = 2 * cols), which is what a single cuBLASLt call at N = 2 * intermediate produces; output is the contiguous [rows, cols] the down projection reads. Passing in_stride == out_stride == cols reproduces silu_mul exactly.

Kernel: silu_mul_strided(gate, up, output, rows, cols, in_stride, out_stride), grid (ceil(cols/256), rows, 1) block (256,1,1) — a 2-D grid so no thread divides to recover its row. Rule: layers/dense_ffn_gateup_fused.rs.