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Domain | Sub Domain | Network | Ascend (Graph) | Ascend (PyNative) | GPU (Graph) | GPU (PyNative) | CPU (Graph) | CPU (PyNative) |
---|---|---|---|---|---|---|---|---|
Computer Vision (CV) | Image Classification | AlexNet | ✅ | ✅ | ✅ | ✅ | ||
Computer Vision (CV) | Image Classification | CNN | ✅ | |||||
Computer Vision (CV) | Image Classification | DenseNet100 | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | DenseNet121 | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | EfficientNet-B0 | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | GoogLeNet | ✅ | ✅ | ✅ | ✅ | ||
Computer Vision (CV) | Image Classification | InceptionV3 | ✅ | |||||
Computer Vision (CV) | Image Classification | InceptionV4 | ✅ | |||||
Computer Vision (CV) | Image Classification | LeNet | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
Computer Vision (CV) | Image Classification | LeNet (Quantization) | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | MobileNetV1 | ✅ | |||||
Computer Vision (CV) | Image Classification | MobileNetV2 | ✅ | ✅ | ✅ | ✅ | ✅ | |
Computer Vision (CV) | Image Classification | MobileNetV2 (Quantization) | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | MobileNetV3 | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | NASNet | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | ResNet-18 | ✅ | |||||
Computer Vision (CV) | Image Classification | ResNet-50 | ✅ | ✅ | ✅ | ✅ | ✅ | |
Computer Vision (CV) | Image Classification | ResNet-50 (Quantization) | ✅ | |||||
Computer Vision (CV) | Image Classification | ResNet-101 | ✅ | ✅ | ✅ | ✅ | ||
Computer Vision (CV) | Image Classification | ResNeXt50 | ✅ | ✅ | ✅ | |||
Computer Vision (CV) | Image Classification | SE-ResNet50 | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | ShuffleNetV1 | ✅ | |||||
Computer Vision (CV) | Image Classification | ShuffleNetV2 | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | SqueezeNet | ✅ | |||||
Computer Vision (CV) | Image Classification | Tiny-DarkNet | ✅ | |||||
Computer Vision (CV) | Image Classification | VGG16 | ✅ | ✅ | ✅ | ✅ | ||
Computer Vision (CV) | Image Classification | Xception | ✅ | |||||
Computer Vision (CV) | Object Detection | CenterFace | ✅ | |||||
Computer Vision (CV) | Object Detection | CTPN | ✅ | |||||
Computer Vision (CV) | Object Detection | Faster R-CNN | ✅ | ✅ | ||||
Computer Vision (CV) | Object Detection | Mask R-CNN | ✅ | |||||
Computer Vision (CV) | Object Detection | Mask R-CNN (MobileNetV1) | ✅ | |||||
Computer Vision (CV) | Object Detection | RetinaFace-ResNet50 | ✅ | ✅ | ||||
Computer Vision (CV) | Object Detection | RetinaNet | ✅ | |||||
Computer Vision (CV) | Object Detection | SSD | ✅ | ✅ | ✅ | ✅ | ||
Computer Vision (CV) | Object Detection | SSD-MobileNetV1-FPN | ✅ | |||||
Computer Vision (CV) | Object Detection | SSD-Resnet50-FPN | ✅ | |||||
Computer Vision (CV) | Object Detection | SSD-VGG16 | ✅ | |||||
Computer Vision (CV) | Object Detection | WarpCTC | ✅ | ✅ | ||||
Computer Vision (CV) | Object Detection | YOLOv3-ResNet18 | ✅ | |||||
Computer Vision (CV) | Object Detection | YOLOv3-DarkNet53 | ✅ | ✅ | ✅ | ✅ | ||
Computer Vision (CV) | Object Detection | YOLOv3-DarkNet53 (Quantization) | ✅ | |||||
Computer Vision (CV) | Object Detection | YOLOv4 | ✅ | |||||
Computer Vision (CV) | Text Detection | DeepText | ✅ | |||||
Computer Vision (CV) | Text Detection | PSENet | ✅ | ✅ | ||||
Computer Vision (CV) | Text Recognition | CNN+CTC | ✅ | ✅ | ||||
Computer Vision (CV) | Text Recognition | CRNN-Seq2Seq-OCR | ✅ | |||||
Computer Vision (CV) | Semantic Segmentation | DeepLabV3 | ✅ | ✅ | ||||
Computer Vision (CV) | Semantic Segmentation | FCN8s | ✅ | |||||
Computer Vision (CV) | Semantic Segmentation | U-Net2D (Medical) | ✅ | |||||
Computer Vision (CV) | Semantic Segmentation | U-Net3D (Medical) | ✅ | |||||
Computer Vision (CV) | Semantic Segmentation | U-Net++ | ✅ | |||||
Computer Vision (CV) | Keypoint Detection | OpenPose | ✅ | |||||
Computer Vision (CV) | Keypoint Detection | SimplePoseNet | ✅ | |||||
Computer Vision (CV) | Optical Character Recognition | CRNN | ✅ | |||||
Natural Language Processing (NLP) | Natural Language Understanding | BERT | ✅ | ✅ | ✅ | ✅ | ||
Natural Language Processing (NLP) | Natural Language Understanding | FastText | ✅ | |||||
Natural Language Processing (NLP) | Natural Language Understanding | GNMT v2 | ✅ | |||||
Natural Language Processing (NLP) | Natural Language Understanding | GRU | ✅ | |||||
Natural Language Processing (NLP) | Natural Language Understanding | MASS | ✅ | ✅ | ✅ | ✅ | ||
Natural Language Processing (NLP) | Natural Language Understanding | SentimentNet | ✅ | ✅ | ✅ | ✅ | ✅ | |
Natural Language Processing (NLP) | Natural Language Understanding | Transformer | ✅ | ✅ | ✅ | ✅ | ||
Natural Language Processing (NLP) | Natural Language Understanding | TinyBERT | ✅ | ✅ | ✅ | |||
Natural Language Processing (NLP) | Natural Language Understanding | TextCNN | ✅ | |||||
Recommender | Recommender System, CTR prediction | DeepFM | ✅ | ✅ | ✅ | ✅ | ✅ | |
Recommender | Recommender System, Search, Ranking | Wide&Deep | ✅ | ✅ | ✅ | ✅ | ||
Recommender | Recommender System | NAML | ✅ | |||||
Recommender | Recommender System | NCF | ✅ | ✅ | ||||
Graph Neural Networks (GNN) | Text Classification | GCN | ✅ | ✅ | ||||
Graph Neural Networks (GNN) | Text Classification | GAT | ✅ | ✅ | ||||
Graph Neural Networks (GNN) | Recommender System | BGCF | ✅ |
Domain | Sub Domain | Network | Ascend (Graph) | Ascend (PyNative) | GPU (Graph) | GPU (PyNative) | CPU (Graph) | CPU (PyNative) |
---|---|---|---|---|---|---|---|---|
Computer Vision (CV) | Image Classification | FaceAttribute | ✅ | ✅ | ||||
Computer Vision (CV) | Object Detection | FaceDetection | ✅ | |||||
Computer Vision (CV) | Image Classification | FaceQualityAssessment | ✅ | ✅ | ||||
Computer Vision (CV) | Image Classification | FaceRecognition | ✅ | |||||
Computer Vision (CV) | Image Classification | FaceRecognitionForTracking | ✅ | |||||
Computer Vision (CV) | Object Detection | SSD-GhostNet | ✅ | |||||
Computer Vision (CV) | Image Style Transfer | CycleGAN | ✅ | ✅ | ||||
Natural Language Processing (NLP) | Natural Language Understanding | DS-CNN | ✅ | ✅ | ||||
Natural Language Processing (NLP) | Natural Language Understanding | TPRR | ✅ | |||||
Recommender | Recommender System, CTR prediction | AutoDis | ✅ | |||||
Audio | Audio Tagging | FCN-4 | ✅ | |||||
High Performance Computing | Molecular Dynamics | DeepPotentialH2O | ✅ | ✅ | ||||
High Performance Computing | Ocean Model | GOMO | ✅ |
You can also use MindWizard Tool to quickly generate classic network scripts.
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