🤗 Optimum Habana

🤗 Optimum Habana is the interface between the 🤗 Transformers library and Habana’s Gaudi processor (HPU). It provides a set of tools enabling easy model loading and fine-tuning on single- and multi-HPU settings for different downstream tasks. The list of officially validated models and tasks is available here. Users can try other models and tasks with only few changes.

What is a Habana Processing Unit (HPU)?

Quote from the Hugging Face blog post:

Habana Gaudi training solutions, which power Amazon’s EC2 DL1 instances and Supermicro’s X12 Gaudi AI Training Server, deliver price/performance up to 40% lower than comparable training solutions and enable customers to train more while spending less. The integration of ten 100 Gigabit Ethernet ports onto every Gaudi processor enables system scaling from 1 to thousands of Gaudis with ease and cost-efficiency. Habana’s SynapseAI® is optimized—at inception—to enable Gaudi performance and usability, supports TensorFlow and PyTorch frameworks, with a focus on computer vision and natural language processing applications.

Install

To install the latest release of this package:

pip install optimum[habana]

Run the following command if you want to use DeepSpeed on HPUs:

pip install optimum[habana-deepspeed]

Optimum Habana is a fast-moving project, and you may want to install it from source:

pip install git+https://github.com/huggingface/optimum-habana.git

Last but not least, don’t forget to install requirements for every example:

cd <example-folder>
pip install -r requirements.txt

Alternatively, you can install the package without pip as follows:

git clone https://github.com/huggingface/optimum-habana.git
cd optimum-habana
python setup.py install

Validated Models

The following model architectures, tasks and device distributions have been validated for 🤗 Optimum Habana:

	Text Classification	Question Answering	Language Modeling	Summarization	Translation	Image Classification	Single Card	Multi Card	DeepSpeed
BERT	✅	✅	✅	❌	❌	❌	✅	✅	✅
RoBERTa	❌	✅	✅	❌	❌	❌	✅	✅	✅
ALBERT	❌	✅	✅	❌	❌	❌	✅	✅	✅
DistilBERT	❌	✅	✅	❌	❌	❌	✅	✅	✅
GPT2	❌	❌	✅	❌	❌	❌	✅	✅	✅
T5	❌	❌	❌	✅	✅	❌	✅	✅	✅
ViT	❌	❌	❌	❌	❌	✅	✅	✅	✅

Other models and tasks supported by the 🤗 Transformers library may also work. You can refer to this section for using them with 🤗 Optimum Habana. Besides, this page explains how to modify any example from the 🤗 Transformers library to make it work with 🤗 Optimum Habana.

If you find any issue while using those, please open an issue or a pull request in the Github repository of the project.

Gaudi Setup

Please refer to Habana Gaudi’s official installation guide.

Tests should be run in a Docker container based on Habana Docker images.