1-Cycle Schedule
This tutorial shows how to implement 1Cycle schedules for learning rate and momentum in PyTorch.
Tutorials
Getting Started with DeepSpeed on Azure
This tutorial will help you get started running DeepSpeed on Azure virtual machines. Looking forward, we will be integrating these techniques and additional ...
CIFAR-10 Tutorial
Train your first model with DeepSpeed!
Getting Started
First steps with DeepSpeed
Learning Rate Range Test
This tutorial shows how to use to perform Learning Rate range tests in PyTorch.
Megatron-LM GPT2
If you haven’t already, we advise you to first read through the Getting Started guide before stepping through this tutorial.
1-bit Adam: Up to 5x less communication volume and up to 2x faster training
In this tutorial, we are going to introduce the 1-bit Adam optimizer in DeepSpeed. 1-bit Adam can improve model training speed on communication-constrained c...
Pipeline Parallelism
DeepSpeed v0.3 includes new support for pipeline parallelism! Pipeline parallelism improves both the memory and compute efficiency of deep learning training ...
DeepSpeed Sparse Attention
In this tutorial we describe how to use DeepSpeed Sparse Attention (SA) and its building-block kernels. The easiest way to use SA is through DeepSpeed launch...
DeepSpeed Transformer Kernel
This tutorial shows how to enable the DeepSpeed transformer kernel and set its different configuration parameters.
ZeRO-Offload
We recommend that you read the tutorials on Getting Started and ZeRO before stepping through this tutorial. ZeRO-Offload is a ZeRO optimization that offloa...
Zero Redundancy Optimizer (ZeRO)
If you have not done so already, we advise that you read the DeepSpeed tutorials on Getting Started and Megatron-LM GPT-2 before stepping through this tutori...