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Use of tensorflow_decision_forests

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評估

難度
4/5
預估耗時
3-5 天
新手友好度
25/100
Issue 類型
功能
描述清晰度
需要釐清
活躍度
停滯
技術堆疊
java

研究方向

從 TensorFlow.loadLibrary 以及 issue 中所示的 tensorflow_decision_forests inference.so 和 training.so 路徑開始。閱讀 tensorflow/java#468 以了解類似的共享函式庫整合,然後確定從 Java 載入 TFDF SavedModel 所支援的步驟,並記錄一條經過驗證的推論路徑或缺少的整合工作。

由索引模型根據 Issue 內容生成。

描述

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.

主要語言
Java
星號
927
分支
227
PR 合併指標
30 天內沒有已合併 PR

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  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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