buildTensorFlowXavier

September 06, 2019 Quack

Scripts to help build TensorFlow r1.14 for the NVIDIA Jetson AGX Xavier Developer Kit.

Preparation

There is a convenience script for building a swap file. To build a 8GB swapfile on the eMMC in the home directory:

Check your current version of gcc/g++

gcc -v

ls /usr/bin/gcc*

Install gcc-5 and g++-5

sudo apt install gcc-5 g++-5

Allocate Swap Space for target platform

./createSwapfile.sh -d ~/ -s 8

After TensorFlow has finished building, the swap file is no longer needed and may be removed.

Bazel (0.24.1)

build_bazel.sh

For Python 2.7

TensorFlow (r1.14)

Step 1

./py27_tf14_dep.sh

Step 2

./cloneTF_Patch.sh

Step 3

Please check log.txt for details about setting up TensorFlow configs.

./configure

Step 4

The official TensorFlow packages are built with GCC 4 and use the older ABI. For GCC 5 and later, make your build compatible with the older ABI using: --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0". ABI compatibility ensures that custom ops built against the official TensorFlow package continue to work with the GCC 5 built package.

./build_tf.sh

Step 5

./package_tf.sh

Step 6

pip install *.whl 

Notes

TensorFlow C++ with ROS shared library

bazel build --config=opt --config=nonccl //tensorflow:libtensorflow_cc.so --verbose_failures --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=1"