Skip to content

Tutorials for running models on First-gen Gaudi and Gaudi2 for Training and Inference. The source files for the tutorials on https://developer.habana.ai/

Notifications You must be signed in to change notification settings

xiguiw/Gaudi-tutorials

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Gaudi Tutorials

These are the source files for the tutorials on https://developer.habana.ai/.

The tutorials provide step-by-step instructions for PyTorch and PyTorch Lightning on the Intel Gaudi AI Processor, from beginner level to advanced users.

To run these Jupyter Notebooks you will need to follow these steps:

  1. Get access to an Intel Gaudi 2 Accelerator card or node. See the Get Access page on the Developer Website. Be sure to use port forwarding ssh -L 8888:localhost:8888 ... user@ipaddress to be able to access the notebook.
  2. Run the Intel Gaudi PyTorch Docker image. Refer to the Docker section of the Installation Guide for more information. Running the docker image will allow you access to the entire software stack.
  3. Clone this tutorial in your $HOME directory: cd ~ && git clone https://www.github.com/habanaai/Gaudi-tutorials
  4. Install Jupyterlab: python3 -m pip install jupyterlab
  5. Run the Jupyterlab Server, using the same port mapping as the ssh command: python3 -m jupyterlab_server --IdentityProvider.token='' --ServerApp.password='' --allow-root --port 8888 --ServerApp.root_dir=$HOME &

The tutorials will cover the following domains and tasks:

Advanced

  • Fine Tuning with LORA and Inference on Hugging Face Llama 2 70B model
  • Full RAG application with TGI-gaudi
  • RAG application with Local GPT modified to run on Intel Gaudi
  • How to setup and use DeepSpeed for Training Large Language Models

Intermediate

  • GPU migration Tool
  • Debug for Dynamic Shapes
  • Running Simple Inference examples with HPU Graph
  • How to use the Gaudi Tensorboard Plug-in for Profiling
  • Running DeepSpeed on PyTorch Lightning with GPT2
  • BERT Fine Tuning use PyTorch Lightning

Getting Started

  • Quick Start Overall review of Model-References, Hugging Face and DeepSpeed
  • Mixed Precision Show how to use Autocast
  • Training a Classifier Basic PyTorch Tutorial
  • Quickstart_tutorial, Basic PyTorch Tutorial
  • Introduction to Lightning Running simple PyTorch Lightning model, using Gaudi plug-in

About

Tutorials for running models on First-gen Gaudi and Gaudi2 for Training and Inference. The source files for the tutorials on https://developer.habana.ai/

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 91.6%
  • Python 8.4%