native_neural_network 0.3.1

Lib no_std Rust for native neural network (.rnn)
Documentation 
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pub fn stable_softmax_row_f32(values: &mut [f32]) -> Option<()> {
    if values.is_empty() {
        return None;
    }

    let mut max_v = values[0];
    for &v in values.iter().skip(1) {
        if v > max_v {
            max_v = v;
        }
    }

    let mut sum = 0.0f32;
    for v in values.iter_mut() {
        *v = crate::math::expf(*v - max_v);
        sum += *v;
    }

    if !sum.is_finite() || sum <= 0.0 {
        return None;
    }

    let inv = 1.0f32 / sum;
    for v in values.iter_mut() {
        *v *= inv;
    }
    Some(())
}

pub fn stable_softmax_row_f64(values: &mut [f64]) -> Option<()> {
    if values.is_empty() {
        return None;
    }

    let mut max_v = values[0];
    for &v in values.iter().skip(1) {
        if v > max_v {
            max_v = v;
        }
    }

    let mut sum = 0.0f64;
    for v in values.iter_mut() {
        *v = crate::math::expd(*v - max_v);
        sum += *v;
    }

    if !sum.is_finite() || sum <= 0.0 {
        return None;
    }

    let inv = 1.0f64 / sum;
    for v in values.iter_mut() {
        *v *= inv;
    }
    Some(())
}