6. Next steps
Full documentation for the Poplar software is available on the Graphcore documentation site: https://docs.graphcore.ai/. More information can be found on the Graphcore developer pages: https://www.graphcore.ai/developer.
For an overview of the Poplar SDK and development tools, see the Poplar SDK Overview.
The IPU Programmer’s Guide provides an introduction to the IPU architecture, programming model and tools available.
The following quick start guides can help you get started with running an application:
Graphcore also has GitHub repositories with further examples:
TensorFlow, PyTorch and PopART versions of commonly used machine learning models for training and inference, including CNNs such as ResNet, ResNeXt and EfficientNet
Training data for the above models
Examples of using Poplar and IPU features
Examples of simple models
Source code from videos, blogs and other documents
Benchmarks for performance testing of layer types on your IPU system
When looking for answers or asking questions on StackOverflow, use the tag “ipu”. For framework-specific questions, add the corresponding tag: “poplar”, “pytorch” and “popart”.
Support is available from the Graphcore customer engineering team via the Graphcore support portal.
For general help, discussions and announcements, please join our Graphcore Slack Community.