entrenar 0.7.12

Training & Optimization library with autograd, LoRA, quantization, and model merging
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//! Error types for Entrenar

use thiserror::Error;

#[derive(Error, Debug)]
pub enum Error {
    #[error("Shape mismatch: expected {expected:?}, got {got:?}")]
    ShapeMismatch { expected: Vec<usize>, got: Vec<usize> },

    #[error("Invalid gradient: {0}")]
    InvalidGradient(String),

    #[error("Backward operation failed: {0}")]
    BackwardFailed(String),

    #[error("Configuration error: {0}")]
    ConfigError(String),

    #[error("I/O error: {0}")]
    Io(String),

    #[error("Serialization error: {0}")]
    Serialization(String),

    #[error("Invalid parameter: {0}")]
    InvalidParameter(String),

    #[error("Parse error: {0}")]
    Parse(String),

    #[error("Validation error: {0}")]
    Validation(String),
}

impl From<std::io::Error> for Error {
    fn from(err: std::io::Error) -> Self {
        Error::Io(err.to_string())
    }
}

pub type Result<T> = std::result::Result<T, Error>;