Raspberry Pi 64 OS + Jetson Nano configure.py

[Qengineering]

Description

Modified configure.py for installation on an aarch64 linux machine like Raspberry Pi 64-bit OS or Jetson Nano. Extra lines to get CUDA and cuDNN working for the Jetson Nano.

Fixes # none

Type of change

• [ ] Bug fix
• [ ] New Tutorial
• [x] Updated or additional documentation
• [ ] Additional Testing
• [ ] New Activation and the changes conform to the activation contribution guidelines
• [ ] New Callback and the changes conform to the callback contribution guidelines
• [ ] New Image addition and the changes conform to the image op contribution guidelines
• [ ] New Layer and the changes conform to the layer contribution guidelines
• [ ] New Loss and the changes conform to the loss contribution guidelines
• [ ] New Metric and the changes conform to the metric contribution guidelines
• [ ] New Optimizer and the changes conform to the optimizer contribution guidelines
• [ ] New RNN Cell and the changes conform to the rnn contribution guidelines
• [ ] New Seq2seq addition and the changes conform to the seq2seq contribution guidelines
• [ ] New Text addition and the changes conform to the text op contribution guidelines

Checklist:

• [ ] I've properly formatted my code according to the guidelines
  • [ ] By running Black + Flake8
  • [ ] By running pre-commit hooks
• [ ] This PR addresses an already submitted issue for TensorFlow Addons
• [ ] I have made corresponding changes to the documentation
• [ ] I have added tests that prove my fix is effective or that my feature works
• [ ] This PR contains modifications to C++ custom-ops

How Has This Been Tested?

Installed the Addons successfully on the RPi 64 OS and the Jetson Nano *

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[Qengineering]

@googlebot I signed it!

[StuartIanNaylor]

sudo nano configure.py Change 2 lines to the following:-

def is_raspi_arm(): return (os.uname()[4] == "armv7l") or (os.uname()[4] == "aarch64")

if is_macos() or is_linux():

write("build --copt=-mavx") <-not known in gcc aarch64

    write("build --cxxopt=-std=c++14")
    write("build --host_cxxopt=-std=c++14")

sudo ln -s /home/pi/google-kws/venv/lib/python3.7/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so /usr/lib/lib_pywrap_tensorflow_internal.so

Works for Aarch64 just do the normal install after

[StuartIanNaylor]

Any chance we could get this pull request merged as it doesn't actually change existing just adds support for missing architecture?

[bhack]

Tests are failing