TensorFlow C binding for Raspberry Pi

[marianopeck]

System information

• TensorFlow version (you are using): 1.13.1
• Are you willing to contribute it (Yes/No): yes, at least as a tester

Describe the feature and the current behavior/state.
I asked on StackOverflow if there was a TensorFlow C binding for ARM/RaspberryPi but I got no answer after many days.

I couldn't find anything on the website, so I suspect this is not yet available?

If it is just a matter that you don't distribute the binaries, I have no troubles to compile it myself if I have the instructions and if it is known to work. But I haven't found anything confirming that either.

Will this change the current api? How?
No

Who will benefit with this feature?
All language bindings that use the C library and want to run on any ARM board

Any Other info.

[freedomtan]

The last paragraph of the "TensorFlow for C" you cited points to a how-to file which does show you how to build TensorFlow C API from source code with bazel

[marianopeck]

Thanks @freedomtan. I didn't know if something special compilation was needed for ARM. Are you aware of people/projects compiling it and using successfully?

[freedomtan]

@marianopeck something like

CC=clang-6.0 CXX=clang++-6.0 \
bazel build --config opt --local_resources 1024.0,0.5,0.5 \
--copt=-mfpu=neon-vfpv4 \
--copt=-ftree-vectorize \
--copt=-funsafe-math-optimizations \
--copt=-ftree-loop-vectorize \
--copt=-fomit-frame-pointer \
--copt=-DRASPBERRY_PI \
--host_copt=-mfpu=neon-vfpv4 \
--host_copt=-ftree-vectorize \
--host_copt=-funsafe-math-optimizations \
--host_copt=-ftree-loop-vectorize \
--host_copt=-fomit-frame-pointer \
--host_copt=-DRASPBERRY_PI \
//tensorflow/tools/lib_package:libtensorflow

works for me.

[ravikyram]

@marianopeck Just to verify did you get a chance to follow instructions as suggested by freedomtan .Thanks!

[marianopeck]

Hi @ravikyram
Not yet. I will see if I can try it this week.
BTW, if there is a compilation instruction and people claim it works, any reason why the binaries are not officially distributed as the rest of the "TensorFlow for C"?

[marianopeck]

Hi @freedomtan
Which version did you use? It's 2.0? Or older too? I would like to try with 1.13.1 or similar.
Thanks

[freedomtan]

@marianopeck I use master branch most of the time. I think it works on TensorFlow versions before 1.10 to current master.