Accelerate supplies fast floating-point primitives for the vector and matrix arithmetic needed by a simple neural network. Import it alongside Foundation before building the network’s mathematical components. section 7.3
Small Swift helpers expose common operations:
- Compute a vector dot product with vDSP_dotprD and SIMD instructions. section 7.3
- Subtract vectors with catlas_daxpby, multiply elements with vDSP_vmulD, and sum values with vDSP_sveD. section 7.3
- Combine these primitives with random weights and array utilities while assembling the neural network. section 7.3
/// Find the dot product of two vectors
/// assuming that they are of the same length
/// using SIMD instructions to speed computation
func dotProduct(_ xs: [Double], _ ys: [Double]) -> Double {
var answer: Double = 0.0
vDSP_dotprD(xs, 1, ys, 1, &answer, vDSP_Length(xs.count))
return answer
}
A compact Swift wrapper demonstrates how Accelerate turns a dot product into a reusable numerical helper. section 7.3
