//! RustyBooks GPU Integration for RustyTorch
//!
//! This crate provides integration between the RustyBooks GPU acceleration crates
//! and the RustyTorch ML framework.
//!
//! # Features
//!
//! - `direct-storage` - NVMe→GPU direct transfers via gpu-direct
//! - `profiling` - Extended kernel profiling via gpu-profiler
//! - `tma` - Tensor Memory Accelerator operations via tensor-accelerator
//!
//! # Example
//!
//! ```rust,ignore
//! use rtx_rustybooks::memory::DirectStoragePool;
//! use rtx_rustybooks::profiler::ExtendedKernelProfiler;
//! use rtx_rustybooks::tensor::TmaOps;
//!
//! // Direct model loading (bypasses CPU)
//! let pool = DirectStoragePool::new()?;
//! pool.load_from_storage("model.safetensors", &mut weights).await?;
//!
//! // Profiled kernel execution
//! let profiler = ExtendedKernelProfiler::new()?;
//! let result = profiler.profile_launch("matmul", || tensor_op());
//! println!("Occupancy: {:.1}%", result.warp_occupancy() * 100.0);
//! ```

pub mod error;

#[cfg(feature = "direct-storage")]
pub mod memory;

#[cfg(feature = "profiling")]
pub mod profiler;

#[cfg(feature = "tma")]
pub mod tensor;

// Re-exports for convenience
#[cfg(feature = "direct-storage")]
pub use memory::{DirectBuffer, DirectStoragePool, DirectTransfer};

#[cfg(feature = "profiling")]
pub use profiler::{ExtendedKernelProfiler, ProfilingResult, WarpMetrics};

#[cfg(feature = "tma")]
pub use tensor::{TileConfig, TmaOps};

/// Check if RustyBooks integration is available
pub fn is_available() -> bool {
    #[cfg(any(feature = "direct-storage", feature = "profiling", feature = "tma"))]
    {
        true
    }
    #[cfg(not(any(feature = "direct-storage", feature = "profiling", feature = "tma")))]
    {
        false
    }
}

/// Get version information
pub fn version() -> &'static str {
    env!("CARGO_PKG_VERSION")
}