tensorflow / tensorflow/java

Is there a documentation, and a description of goals and current limitations compared to the python API?

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Dominant language
Java
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Description

Hi,

i am very interested in java bindings for tf, but i am unable to find an online documentation or a detailed description of goals and limitations.

I am particularly interested in knowing how the graph vs. eager mode execution models would be handled in java, and how graphs are constructed (i'm wondering what the equivalent, if there even is a necessity for it, to the @tf.function decorator would be that we have in the python API).

Could you describe the main differences and current limitations compared to the python API?

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Research direction

Begin by reviewing the Java bindings' graph and eager execution APIs and comparing them with the Python API. Document the project's goals, current limitations, graph-construction model, and whether Java has an equivalent to Python's @tf.function decorator.

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Assessment

Tech stack
java
Domain
documentation
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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