| In the following | |
| sections we go through the steps to run inference on CPU and single/multi-GPU setups. | |
| Inference on a single CPU | |
| Inference on a single GPU | |
| Multi-GPU inference | |
| XLA Integration for TensorFlow Models | |
| Training and inference | |
| Here you'll find techniques, tips and tricks that apply whether you are training a model, or running inference with it. | |
| Instantiating a big model | |
| Troubleshooting performance issues | |
| Contribute | |
| This document is far from being complete and a lot more needs to be added, so if you have additions or corrections to | |
| make please don't hesitate to open a PR or if you aren't sure start an Issue and we can discuss the details there. | |
| When making contributions that A is better than B, please try to include a reproducible benchmark and/or a link to the | |
| source of that information (unless it comes directly from you).. |