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Porting TensorFlow 1 models to the IPU
Version: latest
  • 1. Introduction
  • 2. How to transfer an existing code base
    • 2.1. Preliminary analysis
    • 2.2. Planning the transfer
    • 2.3. Next steps
  • 3. ResNeXt inference example
    • 3.1. Abridged sample code
    • 3.2. Preliminaries: getting up and running
    • 3.3. Configuring the IPU
    • 3.4. Generating a report
    • 3.5. Infeeds and outfeeds
  • 4. Training with the estimator API
    • 4.1. Instantiate an estimator for the IPU
    • 4.2. Abridged code sample for the estimator
    • 4.3. Train and evaluate methods
  • 5. Scoping and determining unsupported operations
  • 6. Checking hardware availability
  • 7. ResNeXt full code example
  • 8. Trademarks & copyright
Porting TensorFlow 1 models to the IPU

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Porting TensorFlow 1 models to the IPU

This document is a practical guide to porting TensorFlow 1 models to the Poplar SDK for running on the IPU.

Contents

  • 1. Introduction
  • 2. How to transfer an existing code base
    • 2.1. Preliminary analysis
    • 2.2. Planning the transfer
    • 2.3. Next steps
  • 3. ResNeXt inference example
    • 3.1. Abridged sample code
    • 3.2. Preliminaries: getting up and running
    • 3.3. Configuring the IPU
    • 3.4. Generating a report
    • 3.5. Infeeds and outfeeds
  • 4. Training with the estimator API
    • 4.1. Instantiate an estimator for the IPU
    • 4.2. Abridged code sample for the estimator
    • 4.3. Train and evaluate methods
  • 5. Scoping and determining unsupported operations
  • 6. Checking hardware availability
  • 7. ResNeXt full code example
  • 8. Trademarks & copyright
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