## 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.
