Use of tensorflow_decision_forests

Offen
#480 16 Kommentare 0 Reaktionen 0 zugewiesene Personen Auf GitHub ansehen

Dieses Issue hat noch niemand übernommen.

Bewertung

Schwierigkeit
4/5
Geschätzter Aufwand
3-5 Tage
Anfängerfreundlichkeit
25/100
Issue-Typ
Feature
Klarheit
Muss geklärt werden
Aktivitätsstatus
Veraltet
Tech-Stack
java

Rechercherichtung

Beginne mit TensorFlow.loadLibrary und den im Issue gezeigten Pfaden zu tensorflow_decision_forests inference.so und training.so. Lies tensorflow/java#468 zur ähnlichen Integration gemeinsam genutzter Bibliotheken und ermittle anschließend die unterstützten Schritte zum Laden eines TFDF SavedModel aus Java. Dokumentiere einen verifizierten Inferenzpfad oder die noch fehlende Integrationsarbeit.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Beschreibung

Hi,

Firstly, thank you for your great work making the tensorflow library accessible within the java ecosystem.

I would like some guidance or info about how to incorporate a third party library tensorflow_decision_forests (https://www.tensorflow.org/decision_forests) into tensorflow-java. Particularly, I would like to take a trained model and run inference with it from a java app.

I've given this a number of tries on my own. I am using the 0.5.0-SNAPSHOT that targets tf 2.9.1 along with the version of tfdf version 0.2.7 which also targets tf 2.9.1. Without any modifications tensorflow-java or library loading, the error that arises is this:

2022-12-06 08:16:16.811242: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:301] SavedModel load for tags { serve }; Status: fail: NOT_FOUND: Op type not registered 'SimpleMLCreateModelResource' in binary running on localhost. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) `tf.contrib.resampler` should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.. Took 16415 microseconds.

This is the obvious error as I'm aware the library introduces custom tensorflow operations which are probably needed to run inference on the saved model. I attempted to raid the shared library .so files from the library distribution and load them using Tensorflow.loadLibrary from within docker containers, but this did not work for me:

TensorFlow.loadLibrary("/usr/local/anaconda3/lib/python3.8/site-packages/tensorflow_decision_forests/tensorflow/ops/inference/inference.so");
TensorFlow.loadLibrary("/usr/local/anaconda3/lib/python3.8/site-packages/tensorflow_decision_forests/tensorflow/ops/training/training.so");

I'm a little out of my depth as to how to get this to work properly, and I would appreciate any helpful info, resources or direction.

I note that the most similar looking issue recently was https://github.com/tensorflow/java/pull/468 -- which also involves loading shared libraries for a 3rd party library.

Vorherrschende Sprache
Java
Sterne
928
Forks
227
PR-Merge-Kennzahlen
Keine gemergten PRs in 30 T.

Beitragsleitfaden

Beitragsleitfaden öffnen

Erste Schritte

  1. Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
  3. Forken Sie das Repository und arbeiten Sie in einem Branch.
  4. Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.

Mehr aus tensorflow/java

Alle Issues in tensorflow/java

Ähnliche Issues

Weitere Issues zu Java

Neue Issues direkt in Ihr Postfach

Eine kurze Übersicht über anfängerfreundliche GitHub-Issues.