/// Neural network layer primitives
///
/// This module contains the building blocks for the TRM model:
/// - Attention mechanisms (multi-head, grouped-query)
/// - Positional encodings (RoPE, learned)
/// - Activations (SwiGLU, LinearSwish)
/// - Normalizations (RMS LayerNorm)
/// - Embeddings (with automatic dtype casting)
pub use Attention;
pub use CastedEmbedding;
pub use RMSNorm;
pub use ;
pub use RotaryEmbedding;