## Contents:

distributed:  Walkthrough of apex distributed data parallel utilities.

FP16_Optimizer_simple:  Simple examples demonstrating various use cases of `FP16_Optimizer` to automatically manage master parameters and static or dynamic loss scaling.

imagenet:  Example based on [https://github.com/pytorch/examples/tree/master/imagenet](https://github.com/pytorch/examples/tree/master/imagenet) showing the use of `FP16_Optimizer`, as well as manual management of master parameters and loss scaling for illustration/comparison.

word_language_model:  Example based on [https://github.com/pytorch/examples/tree/master/word_language_model](https://github.com/pytorch/examples/tree/master/word_language_model) showing the use of `FP16_Optimizer`, as well as manual management of master parameters and loss scaling for illustration/comparison.

docker:  Example of a minimal Dockerfile that installs Apex on top of the Pytorch 0.4 container.
