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
• 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]

Pi fixes checked working nano should also

[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