tensorflow 1.3.0 on windows with avx2 & cuda by bazel

tensorflow-1.3.0-bazel-windows.txt

tensorflow 1.3.0 on windows with avx2 & cuda by bazel

win 10 1703
msys2-x86_64-20161025.exe
anaconda3 4.4.0
visual studio 2015 update 3 with c++ installed
cuda 8.0.61
cudnn 6
bazel 0.5.3 (C:\msys64\usr\bin\bazel.exe)

use "MSYS2 MSYS" shell

pacman -S git curl zip unzip patch

==== get source code ====
git clone https://github.com/tensorflow/tensorflow.git -b v1.3.1

// need those fix
https://github.com/tensorflow/tensorflow/pull/13525

#undef ERROR
tensorflow\stream_executor\cuda\cuda_gpu_executor.cc:66
tensorflow\core\common_runtime\gpu\gpu_tracer.cc:32

https://github.com/tensorflow/tensorflow/issues/9470#issuecomment-298009422
https://github.com/tensorflow/tensorflow/issues/9470#issuecomment-298352973

https://github.com/tensorflow/tensorflow/pull/11901#discussion-diff-130701557L106

remove fused_batch_norm_op from BUILD

== or ==
git clone https://github.com/fo40225/tensorflow.git -b v1.3.1-bazel-windows-fix

cd tensorflow

# need remove "bash on Ubuntu on Windows"
export PYTHON_BIN_PATH="/c/Users/User/Anaconda3/python.exe"
export PYTHON_LIB_PATH="/c/Users/User/Anaconda3/lib/site-packages"
export BAZEL_PYTHON="/c/Users/User/Anaconda3/python.exe"
export BAZEL_SH="/c/msys64/usr/bin/bash.exe"
export PATH="/c/Users/User/Anaconda3:$PATH"
export PATH="/c/Users/User/Anaconda3/Scripts:$PATH"

./configure

You have bazel 0.5.3 installed.
Do you wish to build TensorFlow with MKL support? [y/N]
No MKL 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]: /arch:AVX2
Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N]
No XLA 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 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 8.0]:
Please specify the location where CUDA 8.0 toolkit is installed. Refer to README.md for more details. [Default is C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0]:
Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 6.0]:
Please specify the location where cuDNN 6 library is installed. Refer to README.md for more details. [Default is C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0]:
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: "6.1"]:
Do you wish to build TensorFlow with MPI support? [y/N]
MPI support will not be enabled for TensorFlow
Configuration finished

# bazel build --config=opt --keep_going --verbose_failures --action_env=USE_MSVC_WRAPPER=1 //tensorflow/tools/pip_package:build_pip_package

# bazel build --jobs 1 --config=opt --verbose_failures --action_env=USE_MSVC_WRAPPER=1 //tensorflow/tools/pip_package:build_pip_package

bazel build --config=opt --verbose_failures --action_env=USE_MSVC_WRAPPER=1 //tensorflow/tools/pip_package:build_pip_package
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
pip install /tmp/tensorflow_pkg/tensorflow-1.3.1-cp36-cp36m-win_amd64.whl

python
import tensorflow as tf
node1 = tf.constant(3.0, dtype=tf.float32)
node2 = tf.constant(4.0)

sess = tf.Session()
print(sess.run([node1, node2]))