defmodule ExBurn do @moduledoc """ ExBurn — Elixir bridge to the [Burn](https://burn.dev) deep learning framework. ExBurn provides a high-level API for tensor computation, neural network training, and GPU-accelerated machine learning by delegating to Burn via Rust NIFs (Native Implemented Functions). ## Architecture ``` Elixir/Axon → Nx.Defn → ExBurn.Backend → ExBurn.Nif (Rustler) → Burn/CubeCL → GPU ↕ ExCubecl (GPU buffers, kernels, pipelines) ``` ## Quick Start # Set ExBurn as the default Nx backend Nx.default_backend(ExBurn.Backend) # Create and manipulate tensors t = Nx.tensor([1.0, 2.0, 3.0]) Nx.add(t, t) |> Nx.to_list() ## Modules - `ExBurn.Backend` — Nx backend that delegates to Burn via NIF - `ExBurn.Nif` — Rustler NIF stubs for Burn interop - `ExBurn.Tensor` — Tensor conversion utilities between Nx and Burn formats - `ExBurn.BurnBridge` — High-level bridge for Burn operations and ExCubecl buffers - `ExBurn.CubeclBridge` — GPU compute via ExCubecl (buffers, kernels, pipelines) - `ExBurn.Model` — Model definition and training orchestration - `ExBurn.Training` — Training loop implementation - `ExBurn.Serving` — Nx.Serving integration for batched concurrent inference """ @doc "Returns the current version of ExBurn." @spec version() :: String.t() def version, do: Application.spec(:ex_burn, :vsn) |> to_string() @doc """ Returns the default device for tensor operations. Currently returns `:gpu` when a compatible GPU backend is available, otherwise falls back to `:cpu`. """ @spec default_device() :: :cpu | :gpu def default_device do if ExBurn.NifHelper.gpu_available(), do: :gpu, else: :cpu end @doc """ Sets the default Nx backend to `ExBurn.Backend`. After calling this, all Nx operations will be executed via Burn. """ @spec configure!() :: :ok def configure! do Nx.default_backend(ExBurn.Backend) :ok end end