ferrum-kernels 0.7.7

Unified compute kernels (CUDA/Metal/CPU) and model runner for Ferrum inference
Documentation 
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//! cuBLAS GEMM wrapper for LLM linear projections.
//!
//! output = input @ weight^T  (pre-allocated output buffer)

use cudarc::cublas::{CudaBlas, Gemm, GemmConfig};
use cudarc::driver::CudaSlice;

/// Compute output = input @ weight^T using cuBLAS.
///
/// Uses cudarc's safe Gemm wrapper which handles event tracking
/// correctly for cross-stream synchronization.
pub fn linear_f16(
    blas: &CudaBlas,
    input: &CudaSlice<half::f16>,
    weight: &CudaSlice<half::f16>,
    output: &mut CudaSlice<half::f16>,
    m: i32,
    n: i32,
    k: i32,
) -> candle_core::Result<()> {
    let cfg = GemmConfig {
        transa: cudarc::cublas::sys::cublasOperation_t::CUBLAS_OP_T,
        transb: cudarc::cublas::sys::cublasOperation_t::CUBLAS_OP_N,
        m: n,
        n: m,
        k,
        alpha: half::f16::ONE,
        lda: k,
        ldb: k,
        beta: half::f16::ZERO,
        ldc: n,
    };

    unsafe { blas.gemm(cfg, weight, input, output) }
        .map_err(|e| candle_core::Error::Msg(format!("cuBLAS gemm: {e}")))
}