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