hmll 0.1.0-rc.1

//! Safe, idiomatic Rust bindings to the hmll library.
//!
//! This crate provides a safe, high-level interface to the hmll C library for
//! high-performance loading of machine learning model files.
//!
//! # Features
//!
//! - **`io_uring`** (default): High-performance I/O using io_uring on Linux
//! - **`safetensors`**: Native support for safetensors format
//! - **`cuda`**: CUDA memory support for GPU operations
//!
//! # Example
//!
//! ```no_run
//! use hmll::{Source, WeightLoader, Device, LoaderKind};
//!
//! # fn main() -> Result<(), Box<dyn std::error::Error>> {
//! // Open a model file
//! let source = Source::open("model.safetensors")?;
//! let sources = [source];
//!
//! // Create a weight loader
//! let mut loader = WeightLoader::new(&sources, Device::Cpu, LoaderKind::Auto)?;
//!
//! // Fetch a range of bytes
//! let data = loader.fetch(0..1024, 0)?;
//! println!("Fetched {} bytes", data.len());
//! # Ok(())
//! # }
//! ```

mod buffer;
mod device;
mod error;
mod loader;
mod source;

#[cfg(feature = "safetensors")]
mod dtype;
#[cfg(feature = "safetensors")]
mod registry;

pub use buffer::{Buffer, Range};
pub use device::Device;
pub use error::{Error, Result};
pub use loader::{LoaderKind, WeightLoader};
pub use source::Source;

#[cfg(feature = "safetensors")]
pub use dtype::DType;
#[cfg(feature = "safetensors")]
pub use registry::{Registry, TensorInfo};