pub fn mul_simd<F>(a: &ArrayView1<'_, F>, b: &ArrayView1<'_, F>) -> Array1<F>where
F: Float + SimdUnifiedOps,Expand description
SIMD-accelerated element-wise multiplication
Computes a * b element-wise (Hadamard product).
§Arguments
a- First arrayb- Second array
§Returns
Element-wise product
§Examples
use scirs2_core::ndarray::array;
use scirs2_core::ndarray_ext::elementwise::mul_simd;
let a = array![2.0_f64, 3.0, 4.0];
let b = array![5.0_f64, 6.0, 7.0];
let c = mul_simd::<f64>(&a.view(), &b.view());
assert!((c[0] - 10.0).abs() < 1e-14);
assert!((c[1] - 18.0).abs() < 1e-14);
assert!((c[2] - 28.0).abs() < 1e-14);§Use Cases
- Attention weights application
- Feature gating
- Gradient scaling
- Signal modulation