TensorFlow
User guides, API references and technical notes for TensorFlow 2 on the IPU
Warning
The versions of TensorFlow included in Poplar SDK 2.5 and earlier are not compatible with protobuf version 4 (see TensorFlow issue #56077).
When you install a TensorFlow wheel from the Poplar SDK, you must ensure you have a compatible version of protobuf, downgrading if necessary.
See the getting started guides for more information.
User guides
Targeting the IPU from TensorFlow 1
User guide and API reference for the IPU implementation of TensorFlow 1
Targeting the IPU from TensorFlow 2
User guide and API reference for the IPU implementation of TensorFlow 2
The Graphcore implementation of TensorFlow 2 includes Keras support for IPUs
TensorFlow technical notes
Porting TensorFlow 2 Models Quick Start
A short description of how to port TensorFlow 2 models to the IPU, including code snippets to help
Porting TensorFlow 1 models to the IPU
A practical guide to porting TensorFlow models to the IPU using the Poplar SDK.
Memory and Performance Optimisation on the IPU
Optimising high-performance machine learning models running on the IPU
Creating Custom Operations for the IPU
An overview of the steps for implementing a custom op in each of the frameworks available in the Poplar SDK
Optimising for the IPU: Computational Graph Recompilation and Executable Switching in TensorFlow
Strategies to minimise recompilation when running code on the IPU
Model Parallelism on the IPU with TensorFlow: Sharding and Pipelining
Ways of parallelising TensorFlow models on IPU hardware
Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU
Using the “available memory proportion” option to optimise memory use or performance