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Optimising for the IPU: Computational Graph Recompilation and Executable Switching in TensorFlow
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  • 1. Introduction
  • 2. Consideration 0: Avoiding recompilation
  • 3. Consideration 1: Computational graphs
  • 4. Consideration 2: Batch size
  • 5. Consideration 3: Weights
  • 6. Consideration 4: Concatenate
  • 7. Consideration 5: Constants
  • 8. Consideration 6: Deep dive
  • 9. Code example
  • 10. Trademarks & copyright
Optimising for the IPU: Computational Graph Recompilation and Executable Switching in TensorFlow
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  • 10. Trademarks & copyright
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10. Trademarks & copyright

Graphcloud®, Graphcore® and Poplar® are registered trademarks of Graphcore Ltd.

Bow™, Bow-2000™, Bow Pod™, Colossus™, In-Processor-Memory™, IPU-Core™, IPU-Exchange™, IPU-Fabric™, IPU-Link™, IPU-M2000™, IPU-Machine™, IPU-POD™, IPU-Tile™, PopART™, PopDist™, PopLibs™, PopRun™, PopVision™, PopTorch™, Streaming Memory™ and Virtual-IPU™ are trademarks of Graphcore Ltd.

All other trademarks are the property of their respective owners.

Copyright © 2016-2020 Graphcore Ltd. All rights reserved.

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