Native API Tutorial¶
The Native API allows developers to seamlessly move between training in a local
development environment and training at cluster-scale on a Determined cluster.
It also provides an interface to train tf.keras and tf.estimator models
using idiomatic framework patterns, reducing (or eliminating) the effort to
port model code for use with Determined.
This tutorial describes how a minimal tf.keras example can be quickly ported
to the Native API, and augmented to launch hyperparameter searches and/or
distributed training jobs.
For a more detailed discussion of how the Native API is implemented, refer to the Native API Topic Guide.
Prerequisites¶
You will need access to a Determined cluster to train your model. If you have not yet installed Determined, refer to the installation instructions.
The
determinedPython package should be installed in your local development environment, including TensorFlow:pip install determined[tensorflow].
