Examples and Tutorials

Examples

The Graphcore GitHub examples repository contains a catalogue of application examples that have been optimised to run on Graphcore IPUs for both training and inference. The available code covers a wide range of popular models including NLP, Computer Vision, Speech, Multimodal, GNNs, AI for Simulation, and Recommender Systems. This includes a selection of models that achieve state of the art performance on IPUs, as well as code examples for self-learning. The README file in the repo lists details of all the models and which ML framework models are applicable to.

You can also access these examples from the Graphcore Model Garden, where you can filter by model type and framework.

Tutorials

Simple example programs and tutorials are available in the Graphcore GitHub tutorials repository for PyTorch, TensorFlow 2, TensorFlow 1, the Poplar graph programming framework, PopART and the PopVision graph and system analyser tools.

The repository includes:

• Tutorials to help you get started using the Poplar SDK and Graphcore tools to run code on the IPU.

  You can also access these tutorials from the Tutorials document.

• Feature examples: small code examples showing you how to use various software features when developing for IPUs. The feature examples README contains details of the code available.

• Simple application examples: basic applications written in different frameworks targeting the IPU. The simple applications README contains details of the code available.

• Kernel benchmarks: code for benchmarking the performance of some selected types of neural network layers on the IPU, using TensorFlow or the Graphcore PopART framework.

The tutorials repository also contains code used in technical notes, videos and blogs.