From 78c7e72a2b766baa6cd913f4d7332da33ee84b9f Mon Sep 17 00:00:00 2001 From: grzegorz-k-karch Date: Tue, 28 Mar 2023 14:06:25 +0200 Subject: [PATCH 1/2] updated README.md --- README.md | 125 +++++++++++++++++++++++++----------------------------- 1 file changed, 57 insertions(+), 68 deletions(-) diff --git a/README.md b/README.md index c5beb57ef..2e954de17 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ This repository provides State-of-the-Art Deep Learning examples that are easy to train and deploy, achieving the best reproducible accuracy and performance with NVIDIA CUDA-X software stack running on NVIDIA Volta, Turing and Ampere GPUs. ## NVIDIA GPU Cloud (NGC) Container Registry -These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These containers include: +These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These containers include: - The latest NVIDIA examples from this repository - The latest NVIDIA contributions shared upstream to the respective framework @@ -13,50 +13,41 @@ These examples, along with our NVIDIA deep learning software stack, are provided ## Computer Vision -| Models | Framework | AMP | Multi-GPU | Multi-Node | ONNX | Triton | DLC | NB | -|----------------------------------------------------------------------------------------------------------------------------------------|--------------|----------------|-----------|------------|------|------------------------------------------------------------------------------------------------------------------------------|------|------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| [EfficientNet-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | - | Supported | Yes | - | -| [EfficientNet-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | - | Supported | Yes | - | -| [EfficientNet-WideSE-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | - | Supported | Yes | - | -| [EfficientNet-WideSE-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | - | Supported | Yes | - | -| [EfficientNet v1-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v1) | TensorFlow2 | Yes | Yes | Yes | - | Supported | Yes | - | -| [EfficientNet v1-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v1) | TensorFlow2 | Yes | Yes | Yes | - | Supported | Yes | - | -| [EfficientNet v2-S](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v2) | TensorFlow2 | Yes | Yes | Yes | - | Supported | Yes | - | -| [GPUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet) | PyTorch | Yes | Yes | - | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet/triton/) | Yes | - | -| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/MaskRCNN) | PyTorch | Yes | Yes | - | - | Supported | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/pytorch_MaskRCNN_pyt_train_and_inference.ipynb) | -| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) | TensorFlow | Yes | Yes | - | - | Supported | Yes | - | -| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) | TensorFlow2 | Yes | Yes | - | - | Supported | Yes | - | -| [nnUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet) | PyTorch | Yes | Yes | - | - | Supported | Yes | - | -| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5) | MXNet | Yes | Yes | - | - | Supported | - | - | -| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PaddlePaddle/Classification/RN50v1.5) | PaddlePaddle | Yes | Yes | - | - | Supported | - | - | -| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5) | PyTorch | Yes | Yes | - | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnet50) | Yes | - | -| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnet50v1.5) | TensorFlow | Yes | Yes | - | - | Supported | Yes | - | -| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnext101-32x4d) | PyTorch | Yes | Yes | - | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnext101-32x4d) | Yes | - | -| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnext101-32x4d) | TensorFlow | Yes | Yes | - | - | Supported | Yes | - | -| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/se-resnext101-32x4d) | PyTorch | Yes | Yes | - | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d) | Yes | - | -| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/se-resnext101-32x4d) | TensorFlow | Yes | Yes | - | - | Supported | Yes | - | -| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD) | PyTorch | Yes | Yes | - | - | Supported | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Detection/SSD/examples/inference.ipynb) | -| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Detection/SSD) | TensorFlow | Yes | Yes | - | - | Supported | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/Detection/SSD/models/research/object_detection/object_detection_tutorial.ipynb) | -| [U-Net Ind](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial) | TensorFlow | Yes | Yes | - | - | Supported | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial/notebooks) | -| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Medical) | TensorFlow | Yes | Yes | - | - | Supported | Yes | - | -| [U-Net 3D](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_3D_Medical) | TensorFlow | Yes | Yes | - | - | Supported | Yes | - | -| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | Yes | Yes | - | - | Supported | Yes | - | -| [V-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet) | TensorFlow | Yes | Yes | - | - | Supported | Yes | - | - +| Models | Framework | AMP | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton | DLC | NB | +|----------------------------------------------------------------------------------------------------------------------------------------|--------------|----------------|-----------|------------|----------|------|------------------------------------------------------------------------------------------------------------------------------|------|------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| [EfficientNet-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [EfficientNet-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [EfficientNet-WideSE-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [EfficientNet-WideSE-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet) | PyTorch | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [EfficientNet v1-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v1) | TensorFlow2 | Yes | Yes | Yes | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientnet) | - | Supported | Yes | - | +| [EfficientNet v1-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v1) | TensorFlow2 | Yes | Yes | Yes | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientnet) | - | Supported | Yes | - | +| [EfficientNet v2-S](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v2) | TensorFlow2 | Yes | Yes | Yes | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientnet) | - | Supported | Yes | - | +| [GPUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet) | PyTorch | Yes | Yes | - | Example | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet/triton/) | Yes | - | +| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/MaskRCNN) | PyTorch | Yes | Yes | - | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/detectron2) | - | Supported | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/pytorch_MaskRCNN_pyt_train_and_inference.ipynb) | +| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) | TensorFlow2 | Yes | Yes | - | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/detectron2) | - | Supported | Yes | - | +| [nnUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet) | PyTorch | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5) | MXNet | Yes | Yes | - | Supported | - | Supported | - | - | +| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PaddlePaddle/Classification/RN50v1.5) | PaddlePaddle | Yes | Yes | - | Example | - | Supported | - | - | +| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5) | PyTorch | Yes | Yes | - | Example | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnet50) | Yes | - | +| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnet50v1.5) | TensorFlow | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnext101-32x4d) | PyTorch | Yes | Yes | - | Example | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnext101-32x4d) | Yes | - | +| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnext101-32x4d) | TensorFlow | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/se-resnext101-32x4d) | PyTorch | Yes | Yes | - | Example | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d) | Yes | - | +| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/se-resnext101-32x4d) | TensorFlow | Yes | Yes | - | Supported | - | Supported | Yes | - | +| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD) | PyTorch | Yes | Yes | - | Supported | - | Supported | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Detection/SSD/examples/inference.ipynb) | +| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Detection/SSD) | TensorFlow | Yes | Yes | - | Supported | - | Supported | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/Detection/SSD/models/research/object_detection/object_detection_tutorial.ipynb) | +| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | Yes | Yes | - | Tentative | - | Supported | Yes | - | + ## Natural Language Processing -| Models | Framework | AMP | Multi-GPU | Multi-Node | ONNX | Triton | DLC | NB | -|------------------------------------------------------------------------------------------------------------------------|-------------|------|-----------|------------|------|-----------------------------------------------------------------------------------------------------------|------|---------------------------------------------------------------------------------------------------------------------------------------------| -| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT) | PyTorch | Yes | Yes | Yes | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT/triton) | Yes | - | -| [TransformerXL](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/Transformer-XL) | PyTorch | Yes | Yes | Yes | - | Supported | Yes | - | -| [GNMT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Translation/GNMT) | PyTorch | Yes | Yes | - | - | Supported | - | - | -| [Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Translation/Transformer) | PyTorch | Yes | Yes | - | - | Supported | - | - | -| [ELECTRA](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA) | TensorFlow2 | Yes | Yes | Yes | - | Supported | Yes | - | -| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT) | TensorFlow | Yes | Yes | Yes | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT/triton) | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT/notebooks) | -| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/BERT) | TensorFlow2 | Yes | Yes | Yes | - | Supported | Yes | - | -| [BioBert](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT/biobert) | TensorFlow | Yes | Yes | - | - | Supported | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/notebooks/biobert_ner_tf_inference.ipynb) | -| [TransformerXL](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/Transformer-XL) | TensorFlow | Yes | Yes | - | - | Supported | - | - | -| [GNMT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Translation/GNMT) | TensorFlow | Yes | Yes | - | - | Supported | - | - | -| [Faster Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/FasterTransformer) | Tensorflow | - | - | - | - | Supported | - | - | +| Models | Framework | AMP | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton | DLC | NB | +|------------------------------------------------------------------------------------------------------------------------|-------------|------|-----------|------------|----------|------|-----------------------------------------------------------------------------------------------------------|------|---------------------------------------------------------------------------------------------------------------------------------------------| +| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT) | PyTorch | Yes | Yes | Yes | [Example](https://github.com/NVIDIA/TensorRT/tree/main/demo/BERT) | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT/triton) | Yes | - | +| [GNMT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Translation/GNMT) | PyTorch | Yes | Yes | - | Supported | - | Supported | - | - | +| [ELECTRA](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA) | TensorFlow2 | Yes | Yes | Yes | Supported | - | Supported | Yes | - | +| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT) | TensorFlow | Yes | Yes | Yes | Example | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT/triton) | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT/notebooks) | +| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/BERT) | TensorFlow2 | Yes | Yes | Yes | Supported | - | Supported | Yes | - | +| [GNMT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Translation/GNMT) | TensorFlow | Yes | Yes | - | Supported | - | Supported | - | - | +| [Faster Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/FasterTransformer) | Tensorflow | - | - | - | Example | - | Supported | - | - | ## Recommender Systems @@ -73,56 +64,54 @@ These examples, along with our NVIDIA deep learning software stack, are provided ## Speech to Text -| Models | Framework | AMP | Multi-GPU | Multi-Node | ONNX | Triton | DLC | NB | -|--------------------------------------------------------------------------------------------------------------|-------------|------|------------|--------------|--------|----------------------------------------------------------------------------------------------------------|-------|--------------------------------------------------------------------------------------------------------------| -| [Jasper](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper) | PyTorch | Yes | Yes | - | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/trtis) | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/notebooks) | -| [QuartzNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/QuartzNet) | PyTorch | Yes | Yes | - | - | Supported | Yes | - | -| [wav2vec 2.0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/wav2vec2) | PyTorch | Yes | Yes | Yes | - | Supported | Yes | - | -| [Hidden Markov Model](https://github.com/NVIDIA/DeepLearningExamples/tree/master/Kaldi/SpeechRecognition) | Kaldi | - | Yes | - | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/Kaldi/SpeechRecognition) | - | - | +| Models | Framework | AMP | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton | DLC | NB | +|--------------------------------------------------------------------------------------------------------------|-------------|------|------------|--------------|----------|--------|----------------------------------------------------------------------------------------------------------|-------|--------------------------------------------------------------------------------------------------------------| +| [Jasper](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper) | PyTorch | Yes | Yes | - | Example | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/trtis) | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/notebooks) | +| [QuartzNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/QuartzNet) | PyTorch | Yes | Yes | - | Supported | - | Supported | Yes | - | ## Text to Speech -| Models | Framework | AMP | Multi-GPU | Multi-Node | ONNX | Triton | DLC | NB | -|-------------------------------------------------------------------------------------------------------------------------|-------------|------|------------|-------------|--------|---------------------------------------------------------------------------------------------------------------|-------|-----| -| [FastPitch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch) | PyTorch | Yes | Yes | - | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch/triton) | Yes | Yes | -| [FastSpeech](https://github.com/NVIDIA/DeepLearningExamples/tree/master/CUDA-Optimized/FastSpeech) | PyTorch | Yes | Yes | - | - | Supported | - | - | -| [Tacotron 2 and WaveGlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2) | PyTorch | Yes | Yes | - | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp) | Yes | - | -| [HiFi-GAN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/HiFiGAN) | PyTorch | Yes | Yes | - | - | Supported | Yes | - | +| Models | Framework | AMP | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton | DLC | NB | +|-------------------------------------------------------------------------------------------------------------------------|-------------|------|------------|-------------|----------|--------|---------------------------------------------------------------------------------------------------------------|-------|-----| +| [FastPitch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch) | PyTorch | Yes | Yes | - | Example | - | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch/triton) | Yes | Yes | +| [FastSpeech](https://github.com/NVIDIA/DeepLearningExamples/tree/master/CUDA-Optimized/FastSpeech) | PyTorch | Yes | Yes | - | Example | - | Supported | - | - | +| [Tacotron 2 and WaveGlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2) | PyTorch | Yes | Yes | - | Example | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp) | Yes | - | +| [HiFi-GAN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/HiFiGAN) | PyTorch | Yes | Yes | - | Supported | - | Supported | Yes | - | ## Graph Neural Networks -| Models | Framework | AMP | Multi-GPU | Multi-Node | ONNX | Triton | DLC | NB | +| Models | Framework | AMP | Multi-GPU | Multi-Node | ONNX | Triton | DLC | NB | |-------------------------------------------------------------------------------------------------------------------------|------------|------|------------|--------------|--------|----------|------|------| | [SE(3)-Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/DGLPyTorch/DrugDiscovery/SE3Transformer) | PyTorch | Yes | Yes | - | - | Supported | - | - | | [MoFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/DrugDiscovery/MoFlow) | PyTorch | Yes | Yes | - | - | Supported | - | - | ## Time-Series Forecasting -| Models | Framework | AMP | Multi-GPU | Multi-Node | ONNX | Triton | DLC | NB | -|-------------------------------------------------------------------------------------------------------------------|------------|------|-------------|--------------|--------|--------------------------------------------------------------------------------------------------|-------|-----| -| [Temporal Fusion Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Forecasting/TFT) | PyTorch | Yes | Yes | - | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Forecasting/TFT/triton) | Yes | - | +| Models | Framework | AMP | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton | DLC | NB | +|-------------------------------------------------------------------------------------------------------------------|------------|------|-------------|--------------|----------|--------|--------------------------------------------------------------------------------------------------|-------|-----| +| [Temporal Fusion Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Forecasting/TFT) | PyTorch | Yes | Yes | - | Example | Yes | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Forecasting/TFT/triton) | 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. ## Glossary - -**Multinode Training** + +**Multinode Training** Supported on a pyxis/enroot Slurm cluster. -**Deep Learning Compiler (DLC)** +**Deep Learning Compiler (DLC)** TensorFlow XLA and PyTorch JIT and/or TorchScript -**Accelerated Linear Algebra (XLA)** +**Accelerated Linear Algebra (XLA)** XLA is a domain-specific compiler for linear algebra that can accelerate TensorFlow models with potentially no source code changes. The results are improvements in speed and memory usage. -**PyTorch JIT and/or TorchScript** +**PyTorch JIT and/or TorchScript** TorchScript is a way to create serializable and optimizable models from PyTorch code. TorchScript, an intermediate representation of a PyTorch model (subclass of nn.Module) that can then be run in a high-performance environment such as C++. -**Automatic Mixed Precision (AMP)** +**Automatic Mixed Precision (AMP)** Automatic Mixed Precision (AMP) enables mixed precision training on Volta, Turing, and NVIDIA Ampere GPU architectures automatically. -**TensorFloat-32 (TF32)** +**TensorFloat-32 (TF32)** TensorFloat-32 (TF32) is the new math mode in [NVIDIA A100](https://www.nvidia.com/en-us/data-center/a100/) GPUs for handling the matrix math also called tensor operations. TF32 running on Tensor Cores in A100 GPUs can provide up to 10x speedups compared to single-precision floating-point math (FP32) on Volta GPUs. TF32 is supported in the NVIDIA Ampere GPU architecture and is enabled by default. -**Jupyter Notebooks (NB)** +**Jupyter Notebooks (NB)** The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. From b0884a796746f00fd09f70c3389e1b8056149568 Mon Sep 17 00:00:00 2001 From: grzegorz-k-karch Date: Tue, 28 Mar 2023 16:11:03 +0200 Subject: [PATCH 2/2] updated README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2e954de17..fb2b6b841 100644 --- a/README.md +++ b/README.md @@ -36,7 +36,7 @@ These examples, along with our NVIDIA deep learning software stack, are provided | [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/se-resnext101-32x4d) | TensorFlow | Yes | Yes | - | Supported | - | Supported | Yes | - | | [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD) | PyTorch | Yes | Yes | - | Supported | - | Supported | - | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Detection/SSD/examples/inference.ipynb) | | [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Detection/SSD) | TensorFlow | Yes | Yes | - | Supported | - | Supported | Yes | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/Detection/SSD/models/research/object_detection/object_detection_tutorial.ipynb) | -| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | Yes | Yes | - | Tentative | - | Supported | Yes | - | +| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | Yes | Yes | - | Example | - | Supported | Yes | - | ## Natural Language Processing | Models | Framework | AMP | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton | DLC | NB |