pub fn w4a16_gemv_batchm(
gpu: &dyn GpuBackend,
kernel: KernelHandle,
input: DevicePtr,
weight: &QuantizedWeight,
output: DevicePtr,
m: u32,
n: u32,
k: u32,
stream: u64,
) -> Result<()>Expand description
2026-09-25: w4a16_gemv for m contiguous rows in one pass over the
weight. kernel is the CUDA-core w4a16_gemv_batch{M} tier the caller
picked (W4a16BatchmTiers::kernel); gemv_tc::tc_kernel replaces it with
the tensor-core w4a16_gemv_tc8/tc16 when it routes the shape.