Porting TensorFlow models to the IPU
Version: 2.1.0
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 models to the IPU
Porting TensorFlow models to the IPU
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