How I built TensorFlow 1.8.0 on Jetson TX2

$ cd ~/Downloads
$ wget https://github.com/bazelbuild/bazel/releases/download/0.15.2/bazel-0.15.2-dist.zip
$ mkdir -p ~/src
$ cd ~/src
$ unzip ~/Downloads/bazel-0.15.2-dist.zip -d bazel-0.15.2-dist
$ cd bazel-0.15.2-dist
$ ./compile.sh
$ sudo cp output/bazel /usr/local/bin
$ bazel help

$ cd ~/Downloads
$ wget https://github.com/tensorflow/tensorflow/archive/v1.8.0.tar.gz -O tensorflow-1.8.0.tar.gz
$ cd ~/src
$ tar xzvf ~/Downloads/tensorflow-1.8.0.tar.gz

diff --git a/third_party/png.BUILD b/third_party/png.BUILD
index 76ab32d..bc4551a 100644
--- a/third_party/png.BUILD
+++ b/third_party/png.BUILD
@@ -35,6 +35,7 @@ cc_library(
     ],
     includes = ["."],
     linkopts = ["-lm"],
+    copts = ["-DPNG_ARM_NEON_OPT=0"],
     visibility = ["//visibility:public"],
     deps = ["@zlib_archive//:zlib"],
 )

$ cd ~/src/tensorflow-1.8.0
$ ./configure
WARNING: ignoring http_proxy in environment.
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.15.2- (@non-git) installed.
Please specify the location of python. [Default is /usr/bin/python]: /usr/bin/python3
   
   
Found possible Python library paths:
  /usr/local/lib/python3.5/dist-packages
  /usr/lib/python3/dist-packages
Please input the desired Python library path to use.  Default is [/usr/local/lib/python3.5/dist-packages]
   
Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]: 
jemalloc as malloc support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: n
No Google Cloud Platform support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: n
No Hadoop File System support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with Amazon S3 File System support? [Y/n]: n
No Amazon S3 File System support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with Apache Kafka Platform support? [Y/n]: n
No Apache Kafka Platform support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with XLA JIT support? [y/N]: 
No XLA JIT support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with GDR support? [y/N]: 
No GDR support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with VERBS support? [y/N]: 
No VERBS support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: 
No OpenCL SYCL support will be enabled for TensorFlow.
   
Do you wish to build TensorFlow with CUDA support? [y/N]: y
CUDA support will be enabled for TensorFlow.
   
Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 9.0]: 
   
   
Please specify the location where CUDA 9.0 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 
   
   
Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 7.0]: 7.1.5
   
Please specify the location where cuDNN 7 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:/usr/lib/aarch64-linux-gnu
   
   
Do you wish to build TensorFlow with TensorRT support? [y/N]: y
TensorRT support will be enabled for TensorFlow.
   
Please specify the location where TensorRT is installed. [Default is /usr/lib/aarch64-linux-gnu]:
   
   
Please specify the NCCL version you want to use. [Leave empty to default to NCCL 1.3]: 
   
   
Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size. [Default is: 3.5,5.2]6.2
   
   
Do you want to use clang as CUDA compiler? [y/N]: 
nvcc will be used as CUDA compiler.
   
Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]: 
   
   
Do you wish to build TensorFlow with MPI support? [y/N]: 
No MPI support will be enabled for TensorFlow.
   
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]: 
   
   
Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: 
Not configuring the WORKSPACE for Android builds.
   
Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See tools/bazel.rc for more details.
	--config=mkl         	# Build with MKL support.
	--config=monolithic  	# Config for mostly static monolithic build.
Configuration finished