tensorflow_scala | TensorFlow API for the Scala Programming Language | Machine Learning library

by eaplatanios Scala Version: v0.5.6 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | tensorflow_scala Summary

tensorflow_scala is a Scala library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. tensorflow_scala has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

This library is a Scala API for It attempts to provide most of the functionality provided by the official Python API, while at the same type being strongly-typed and adding some new features. It is a work in progress and a project I started working on for my personal research purposes. Much of the API should be relatively stable by now, but things are still likely to change.

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tensorflow_scala has a medium active ecosystem.

It has 867 star(s) with 92 fork(s). There are 72 watchers for this library.

It had no major release in the last 12 months.

There are 23 open issues and 120 have been closed. On average issues are closed in 94 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow_scala is v0.5.6

Quality

tensorflow_scala has 0 bugs and 0 code smells.

Security

tensorflow_scala has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow_scala code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorflow_scala is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tensorflow_scala releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

It has 50548 lines of code, 4338 functions and 339 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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Community Discussions

Trending Discussions on tensorflow_scala

Tensorflow Op: how to include libtensorflow_framework.so?

Unable to build Tensorflow for Scala using SBT (MacOS)

Importing tensorflow into Scala

QUESTION

Tensorflow Op: how to include libtensorflow_framework.so?

Asked 2020-Jan-11 at 12:46

I followed the instructions of this tutorial: https://www.tensorflow.org/extend/adding_an_op#implement_the_gradient_in_python. There is this comment provided: g++ -std=c++11 -shared zero_out.cc -o zero_out.so -fPIC -I$TF_INC -I$TF_INC/external/nsync/public -L$TF_LIB -ltensorflow_framework -O2

But the linker cannot find -ltensorflow_framework (it should be a tensorflow_frameowork.so file!?)

After some research, I found following links:

https://github.com/tensorflow/tensorflow/issues/1569
https://github.com/eaplatanios/tensorflow_scala/issues/26 --> I downloaded the .jar and linked it via -l/pathto/tensorflow_framework.so, still the fatal error: tensorflow/core/framework/op_kernel.h: No such file or directory is not found.
https://github.com/tensorflow/tensorflow/issues/1270 last comment does not work and so does not help me.

I tried to search for sudo find /usr/. -name "tensorflow_framework.so" recursively but I could not find anything. Tensorflow is installed for sure via anaconda and I also cloned and compiled the repository from source.

How to find a way to include the -ltensorflow_framework?

...

ANSWER

Answered 2017-Dec-20 at 16:40

One answer, I have found:

I have installed my python via anaconda2 and I always tried to find out TF_INC and TF_LIB when I activated my repository source activate . and the could not found any ~/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow *.so files

This time I went out every python environment with the shell command source deactivate and I typed the following command python -c 'import tensorflow as tf; print(tf.sysconfig.get_lib())'

Now, I got a different path: ~/anaconda2/lib/python2.7/site-packages/tensorflow, where the lib libtensorflow_framework.so is located.

Source https://stackoverflow.com/questions/47906589

QUESTION

Unable to build Tensorflow for Scala using SBT (MacOS)

Asked 2019-Apr-15 at 14:16

I am trying to include TensorFlow in my Scala project using this build on MacOS.

As for the installation they provide two ways of doing so:

1) Include the following line to the SBT build:

libraryDependencies += "org.platanios" % "tensorflow" % "0.4.0" classifier "darwin-cpu-x86_64"

However this does not build and gives the following error:

unresolved dependency: org.platanios#tensorflow;0.4.0: not found

2) Build TensorFlow from scratch (which I did via the following steps):

clone the tensorflow git repository
checkout branch r1.12
run ./configure
build using bazel and the following command: bazel build --config=opt --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 //tensorflow:libtensorflow.so
add libtensorflow.so in a directory that is in LD_LIBRARY_PATH
install protobuf using brew

However, still no success when I want to import tensorflow in my project.

Any ideas on how to fix this?

...

ANSWER

Answered 2019-Apr-15 at 14:16

I think you just need to specify the scala version (hopefully 2.12) so put tensorflow_2.12 instead of just tensorflow

Source https://stackoverflow.com/questions/55689528

QUESTION

Importing tensorflow into Scala

Asked 2018-Mar-17 at 10:05

I have installed Tensorflow for Scala on my OSX, and although everything seemed fine, I have a NoClassDefFoundError when trying to run simple example like that –

...

ANSWER

Answered 2018-Mar-01 at 09:07

The problem could be due to a missing dependency library of libtensorflow_jni.so contained by the scala_tensorflow jar

To find the missing library:

sbt console

then from the scala shell import the tensorflow api:

Source https://stackoverflow.com/questions/48812557

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