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Add GNNs to main README

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Alexandre Milesi (Engrg-Hardware 1) 2021-08-24 23:54:21 -07:00 committed by Krzysztof Kudrynski
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@ -80,6 +80,11 @@ These examples, along with our NVIDIA deep learning software stack, are provided
| [FastSpeech](https://github.com/NVIDIA/DeepLearningExamples/tree/master/CUDA-Optimized/FastSpeech) | PyTorch | - | Yes | Yes | - | Yes | - | - | - | - |
| [Tacotron 2 and WaveGlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2) | PyTorch | Yes | Yes | Yes | - | Yes | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp) | Yes | - |
## Graph Neural Networks
| Models | Framework | A100 | AMP | Multi-GPU | Multi-Node | TRT | ONNX | Triton | DLC | NB |
| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
| [SE(3)-Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/DrugDiscovery/SE3Transformer) | PyTorch | Yes | Yes | Yes | - | - | - | - | - | - |
## NVIDIA support
In each of the network READMEs, we indicate the level of support that will be provided. The range is from ongoing updates and improvements to a point-in-time release for thought leadership.