[jira] [Created] (IGNITE-10202) ML: Create a POC of TensorFlow model inference in Java
Anton Dmitriev created IGNITE-10202:
Summary: ML: Create a POC of TensorFlow model inference in Java
URL: https://issues.apache.org/jira/browse/IGNITE-10202 Project: Ignite
Issue Type: Sub-task
Affects Versions: 2.8
Reporter: Anton Dmitriev
Assignee: Anton Dmitriev
Fix For: 2.8
TensorFlow models are represented internally as computation graphs that are saved as a Protobuf objects with some kind of metadata. TensorFlow provides a good API for Python that allows to work with them, but Java API is very poor.
TensorFlow allows to import computation graph in Java API and manipulate it using low-level API and it looks like a one way to make model inference in Java. Another way is based on the fact that the most popular way to build a TensorFlow model is using of the Keras API. It allows to save model in _.h5_ format that can be imported into Java using Deeplearning4J.
So, the goal of this task is to *prepare a POC that demonstrates*:
* How to import TensorFlow model into Java and make inference using TensorFlow Java API.
* How to import TensorFlow model into Java and make inference using Deeplearning4J.
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