Wallaroo SDK Upload Tutorial: Keras Sequential Single IO
How to upload a Keras Sequential Single IO model to Wallaroo via the Wallaroo SDK
Wallaroo SDK Upload Tutorials: Tensorflow Keras
How to upload different Tensorflow Keras models to Wallaroo.
The following tutorials cover how to upload sample Tensorflow Keras models.
| Parameter | Description |
|---|---|
| Web Site | https://www.tensorflow.org/api_docs/python/tf/keras/Model |
| Supported Libraries |
|
| Framework | Framework.KERAS aka keras |
| Supported File Types | SavedModel format as .zip file and HDF5 format |
| Runtime | onnx/flight |
During the model upload process, the Wallaroo instance will attempt to convert the model to a Native Wallaroo Runtime. If unsuccessful based , it will create a Wallaroo Containerized Runtime for the model. See the model deployment section for details on how to configure pipeline resources based on the model’s runtime.
TensorFlow Keras SavedModel Format
TensorFlow Keras SavedModel models are .zip file of the SavedModel format. For example, the Aloha sample TensorFlow model is stored in the directory alohacnnlstm:
├── saved_model.pb
└── variables
├── variables.data-00000-of-00002
├── variables.data-00001-of-00002
└── variables.index
This is compressed into the .zip file alohacnnlstm.zip with the following command:
zip -r alohacnnlstm.zip alohacnnlstm/
See the SavedModel guide for full details.
TensorFlow Keras H5 Format
Wallaroo supports the H5 for Tensorflow Keras models.