IWorker interface: core of the engine

The core engine interface in Barracuda is called IWorker. IWorker breaks down the model into executable tasks and schedules them on GPU or CPU.

Warning: Some platforms might not support some backends. See Supported platforms for more info.

Create the inference engine (Worker)

You can create a Worker from the WorkerFactory. You must specify a backend and a loaded model.

Model model = ...

// GPU
var worker = WorkerFactory.CreateWorker(WorkerFactory.Type.ComputePrecompiled, model)
var worker = WorkerFactory.CreateWorker(WorkerFactory.Type.Compute, model)
// slow - GPU path
var worker = WorkerFactory.CreateWorker(WorkerFactory.Type.ComputeRef, model)

// CPU
var worker = WorkerFactory.CreateWorker(WorkerFactory.Type.CSharpBurst, model)
var worker = WorkerFactory.CreateWorker(WorkerFactory.Type.CSharp, model)
// very slow - CPU path
var worker = WorkerFactory.CreateWorker(WorkerFactory.Type.CSharpRef, model)

Worker type

There a number of different backends you can choose to run your network:

• CPU
  • CSharpBurst : highly efficient, jobified and parallelized CPU code compiled via Burst.
  • CSharp : slightly less efficient CPU code.
  • CSharpRef: a less efficient but more stable reference implementation.
• GPU
  • ComputePrecompiled : highly efficient GPU code with all overhead code stripped away and precompiled into the worker.
  • Compute : highly efficient GPU but with some logic overhead.
  • ComputeRef : a less efficient but more stable reference implementation.

Note: You can use reference implementations as a stable baseline for comparison with other implementations.

If you notice a bug or incorrect inference, see if choosing a simpler worker solves the issue. Please report any bugs in the Barracuda GitHub repository.