Constricted model types and software specifications
Constricted software specifications are only supported in an upgraded instance. They are not supported in new installations, imported space assets, and patch operations.
Support for the following software specifications is constricted:
| Framework | Versions | Model Type | Default software specification | Supported platforms |
|---|---|---|---|---|
| AutoAI | 0.1 | NA | autoai-kb_rt22.1-py3.9 autoai-ts_rt22.1-py3.9 |
x86 |
| AutoAI | 0.1 | NA | autoai-kb_rt22.2-py3.10 (F)(deprecated) autoai-ts_rt22.2-py3.10 (F) |
x86. PPC, s390x |
| PyTorch | 1.10 | pytorch-onnx_1.10 pytorch-onnx_rt22.1 |
runtime-22.1-py3.9 pytorch-onnx_rt22.1-py3.9 pytorch-onnx_rt22.1-py3.9-edt |
x86 |
| PyTorch | 1.12 | pytorch-onnx_1.12 pytorch-onnx_rt22.2 |
runtime-22.2-py3.10 (F)pytorch-onnx_rt22.2-py3.10 (F)pytorch-onnx_rt22.2-py3.10-edt (F) | x86. PPC, s390x |
| PyTorch | 1.12 | pytorch-onnx_1.12 pytorch-onnx_rt22.2(deprecated) |
pytorch-onnx_rt22.2-py3.10-dist(x86) (F) | x86(deprecated) |
| Python functions | NA | NA | runtime-22.1-py3.9 | x86 |
| Python functions | NA | NA | runtime-22.2-py3.10 (F) | x86, PPC, s390x |
| Python Scripts | NA | NA | runtime-22.1-py3.9 | x86 |
| Python scripts | NA | NA | runtime-22.2-py3.10 (F) | x86, PPC, s390x |
| R Scripts | NA | NA | default_r3.6 runtime-22.1-r3.6 runtime-22.2-r4.2 (F) |
x86 |
| R Shiny applications | NA | NA | shiny-r3.6 | x86, PPC |
| R Shiny applications | NA | NA | rstudio_r4.2 (deprecated) | x86 |
| Scikit-learn | 1.0 | scikit-learn_1.0 | runtime-22.1-py3.9 | x86 |
| Scikit-learn | 1.1 | scikit-learn_1.1 | runtime-22.2-py3.10 (F) | x86, PPC, s390x |
| Tensorflow | 2.7 | tensorflow_2.7 tensorflow_rt22.1 |
runtime-22.1-py3.9 tensorflow_rt22.1-py3.9 |
x86 |
| Tensorflow | 2.9 | tensorflow_2.9 tensorflow_rt22.2 |
runtime-22.2-py3.10 (F) tensorflow_rt22.2-py3.10 (F) |
x86, PPC, s390x |
| Tensorflow | 2.9 | tensorflow_2.9 4.8.4tensorflow_rt22.2 |
tensorflow_rt22.2-py3.10-dist(x86) (F) tensorflow_rt22.2-py3.10-edt(x86) (F)(deprecated) |
x86, s390x, PPC |
| XGBoost | 1.5 | xgboost_1.5 or scikit-learn_1.0 (see notes) | runtime-22.1-py3.9 | x86 |
| XGBoost | 1.6 | xgboost_1.6 or scikit-learn_1.1 | runtime-22.2-py3.10 (F) | x86, s390x, PPC |
Important:
For XGBoost, if model is trained with sklearn wrapper (XGBClassifier or XGBRegressor), use the scikit-learn_1.1 model type in Python 3.10.
Parent topic: Frameworks and software specifications in Watson Machine Learning