native_neural_network 0.1.6

Lib no_std Rust for native neural network (.rnn)
Documentation 
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use crate::layers::{DenseLayerDesc, LayerError, LayerSpec};
use crate::activations::ActivationKind;

pub fn dense_chain_widths(layers: &[LayerSpec], out: &mut [usize]) -> Result<usize, LayerError> {
    if layers.is_empty() {
        return Err(LayerError::EmptyPlan);
    }
    let needed = layers.len() + 1;
    if out.len() < needed {
        return Err(LayerError::BufferTooSmall);
    }

    out[0] = layers[0].input_size();
    for i in 0..layers.len() {
        out[i + 1] = layers[i].output_size();
    }
    Ok(needed)
}

pub fn dense_desc(
    input_size: usize,
    output_size: usize,
    weight_offset: usize,
    bias_offset: usize,
    activation: ActivationKind,
) -> Result<LayerSpec, LayerError> {
    if input_size == 0 || output_size == 0 {
        return Err(LayerError::InvalidShape);
    }
    Ok(LayerSpec::Dense(DenseLayerDesc {
        input_size,
        output_size,
        weight_offset,
        bias_offset,
        activation,
    }))
}