native_neural_network_std 0.2.1

Ergonomic std wrapper for the `native_neural_network` crate (no_std) — std-friendly re-exports and utilities.
Documentation 
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#[derive(Debug)]
pub enum NormStdError {
    Empty,
    ShapeMismatch,
    InvalidEps,
}

impl From<native_neural_network::normalization::NormError> for NormStdError {
    fn from(e: native_neural_network::normalization::NormError) -> Self {
        match e {
            native_neural_network::normalization::NormError::Empty => NormStdError::Empty,
            native_neural_network::normalization::NormError::ShapeMismatch => {
                NormStdError::ShapeMismatch
            }
            native_neural_network::normalization::NormError::InvalidEps => NormStdError::InvalidEps,
        }
    }
}

pub fn layer_norm_in_place(
    x: &mut [f32],
    gamma: &[f32],
    beta: &[f32],
    eps: f32,
) -> Result<(), NormStdError> {
    native_neural_network::normalization::layer_norm_in_place_f32(x, gamma, beta, eps)
        .map_err(|e| e.into())
}

pub fn layer_norm(
    input: &[f32],
    gamma: &[f32],
    beta: &[f32],
    eps: f32,
    out: &mut [f32],
) -> Result<(), NormStdError> {
    native_neural_network::normalization::layer_norm_f32(input, gamma, beta, eps, out)
        .map_err(|e| e.into())
}

pub fn rms_norm_in_place(x: &mut [f32], gamma: &[f32], eps: f32) -> Result<(), NormStdError> {
    native_neural_network::normalization::rms_norm_in_place_f32(x, gamma, eps).map_err(|e| e.into())
}

pub fn rms_norm(
    input: &[f32],
    gamma: &[f32],
    eps: f32,
    out: &mut [f32],
) -> Result<(), NormStdError> {
    native_neural_network::normalization::rms_norm_f32(input, gamma, eps, out).map_err(|e| e.into())
}

impl core::fmt::Display for NormStdError {
    fn fmt(&self, f: &mut core::fmt::Formatter<'_>) -> core::fmt::Result {
        write!(f, "NormStdError::{:?}", self)
    }
}

impl std::error::Error for NormStdError {}