This topic lists use cases of AI acceleration.
Transformer training acceleration
Case | Description |
This topic describes how to use PAI-Rapidformer to accelerate the training of PyTorch transformers. |
Inference acceleration
Case | Description |
Use PAI-Blade to optimize a RetinaNet model that is in the Detectron2 framework | This topic describes how to use PAI-Blade to optimize a RetinaNet model that is in the Detectron2 framework. |
Use PAI-Blade and TorchScript custom C++ operators to optimize a RetinaNet model | This topic describes how to use TorchScript custom C++ operators to build the post-processing network of an object detection model and use PAI-Blade to optimize the model. |
Use PAI-Blade and TensorRT plug-ins to optimize a RetinaNet model | This topic describes how to use PAI-Blade to optimize a detection model whose post-processing network is built by using TensorRT plug-ins. |
This topic describes how to use PAI-Blade to optimize a TensorFlow BERT model. | |
This topic describes how to use PAI-Blade to optimize a TensorFlow ResNet50 model. | |
Use PAI-Blade to optimize a ResNet50 model with dynamic input shapes | This topic describes how to use PAI-Blade to optimize a ResNet50 model with dynamic input shapes. |