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This repository is a collection of models that have been ported to run on Intel®️ Gaudi®️ AI accelerator. They are intended as examples, and will be reasonably optimized for performance while still being easy to read.
| Models | Framework | Validated on Gaudi | Validated on Gaudi2 |
|---|---|---|---|
| ResNet50, ResNeXt101 | PyTorch | Training | Training, Inference |
| ResNet152 | PyTorch | Training | - |
| MobileNetV2 | PyTorch | Training | - |
| UNet 2D, Unet3D | PyTorch Lightning | Training, Inference | Training, Inference |
| SSD | PyTorch | Training | Training |
| GoogLeNet | PyTorch | Training | - |
| Vision Transformer | PyTorch | Training | - |
| DINO | PyTorch | Training | - |
| YOLOX | PyTorch | Training | - |
| Models | Framework | Validated on Gaudi | Validated on Gaudi2 |
|---|---|---|---|
| BERT Pretraining and Finetuning | PyTorch | Training, Inference | Training, Inference |
| DeepSpeed BERT-1.5B, BERT-5B | PyTorch | Training | - |
| BART | PyTorch | Training | - |
| HuggingFace BLOOM | PyTorch | Inference | Inference |
| Models | Framework | Validated on Gaudi | Validated on Gaudi2 |
|---|---|---|---|
| Wav2Vec2ForCTC | PyTorch | Inference | Inference |
| Models | Framework | Validated on Gaudi | Validated on Gaudi2 |
|---|---|---|---|
| Stable Diffusion | PyTorch Lightning | Training | Training |
| Stable Diffusion FineTuning | PyTorch | Training | Training |
| Stable Diffusion v2.1 | PyTorch | Inference | Inference |
| Models | Framework | Validated on Gaudi | Validated on Gaudi2 |
|---|---|---|---|
| GPT3 | PyTorch | - | Training |
| ResNet50 | PyTorch | - | Training |
| BERT | PyTorch | - | Training |
| Models | Framework | Validated on Gaudi | Validated on Gaudi2 |
|---|---|---|---|
| GPT-J | PyTorch | - | Inference |
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We welcome you to use the GitHub issue tracker to report bugs or suggest features.
When filing an issue, please check existing open, or recently closed, issues to make sure somebody else hasn't already reported the issue. Please try to include as much information as you can. Details like these are incredibly useful:
- A reproducible test case or series of steps
- The version of our code being used
- Any modifications you've made relevant to the bug
- Anything unusual about your environment or deployment
- All supported models are available in Optimum Habana project https://github.com/huggingface/optimum-habana/ and as model cards at https://huggingface.co/Habana.
- Megatron-DeepSpeed was moved to a new GitHub repository HabanaAI/Megatron-DeepSpeed.
- This model was moved to a new GitHub repository HabanaAI/DeepSpeedExample.