mamba-rs 0.6.3

Mamba SSM and Mamba-3 SISO in Rust with optional CUDA GPU acceleration. Inference and training (BPTT through SSM state, AdamW), CPU + GPU paths, custom CUDA kernels, CUDA Graph capture, f32 / bf16 / f16. Opt-in deterministic training (bit-identical runs, batch-invariant inference) with a tensor-core tier that beats cuBLAS on LLM-sized models.
Documentation 
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//! Deterministic data-parallel training.
//!
//! One process per GPU, one logical rank per process. Gradients meet in
//! one reduction per optimizer step over the trainer's flat f32
//! arena (the fixed-order tier implements it as a byte-only shard
//! exchange around its fold kernel; the library tier as one
//! collective); the default reduction contract folds the W addends per
//! element in strictly ascending logical-rank order, so the reduced
//! bits are independent of transport, topology, library version, and
//! physical GPU permutation — a run is bit-replayable for a fixed
//! logical world size.
//!
//! Everything here composes with every per-rank compute mode (the
//! deterministic house kernels, cuBLAS, TF32 — any GEMM tier, scan
//! mode, or dtype the trainers support): the reducer consumes finished
//! gradients and never participates in how they were computed. The
//! whole-run bit-identity claim holds when the per-rank route is itself
//! deterministic; on non-invariant tiers the reduction still adds zero
//! new nondeterminism of its own.
//!
//! The seed law keeps every random decision rank-free so the sample
//! stream and its noise are world-size-invariant; the fold plan module
//! is the reduction's numeric contract; the `reducer` module is the
//! contract's transport-backed device implementation (byte-only shard
//! exchange + the ascending fold kernel); [`EmulatedWorld`] proves the
//! sharded dataflow against the straight-line reference in one process,
//! with no communicator involved.

mod bootstrap;
#[cfg(feature = "nccl")]
pub mod comm;
mod config;
mod context;
mod error;
mod fold;
#[cfg(feature = "cuda")]
pub mod reducer;
mod seed;
// Present in test builds so its pure-std unit tests always run; in
// release shapes only the nccl feature consumes it.
#[cfg(any(feature = "nccl", test))]
mod watchdog;

pub use bootstrap::{
    Bootstrap, ENV_DEVICE, ENV_JOB_ID, ENV_RANK, ENV_RENDEZVOUS_DIR, ENV_SEED, ENV_WORLD,
    SupervisorStatus, attach, bootstrap,
};
#[cfg(feature = "nccl")]
pub use comm::MambaComm;
pub use config::{Devices, DistConfig, ReduceContract, Rendezvous};
pub use context::{DistContext, EmulatedWorld};
pub use error::DistError;
pub use fold::{Shard, reduce_mean_reference, shard_plan};
pub use seed::SeedLaw;