Supported Frameworks
Amazon SageMaker Neo supports the following frameworks.
| Framework | Framework Version | Model Version | Models | Model Formats (packaged in *.tar.gz) | Toolkits |
|---|---|---|---|---|---|
| MXNet | 1.8 | Supports 1.8 or earlier | Image Classification, Object Detection, Semantic Segmentation, Pose Estimation, Activity Recognition | One symbol file (.json) and one parameter file (.params) | GluonCV v0.8.0 |
| ONNX | 1.7 | Supports 1.7 or earlier | Image Classification, SVM | One model file (.onnx) | |
| Keras | 2.2 | Supports 2.2 or earlier | Image Classification | One model definition file (.h5) | |
| PyTorch | 1.7, 1.8 | Supports 1.7, 1.8 or earlier | Image Classification, Object Detection | One model definition file (.pth) | |
| TensorFlow | 1.15, 2.4, 2.5 (only for ml.inf1.* instances) | Supports 1.15, 2.4, 2.5 (only for ml.inf1.* instances) or earlier | Image Classification, Object Detection | *For saved models, one .pb or one .pbtxt file and a variables directory that contains variables *For frozen models, only one .pb or .pbtxt file | |
| TensorFlow-Lite | 1.15 | Supports 1.15 or earlier | Image Classification, Object Detection | One model definition flatbuffer file (.tflite) | |
| XGBoost | 1.3 | Supports 1.3 or earlier | Decision Trees | One XGBoost model file (.model) where the number of nodes in a tree is less than 2^31 | |
| DARKNET | Image Classification, Object Detection (Yolo model is not supported) | One config (.cfg) file and one weights (.weights) file |
