Change: 139516555

Also removed the CMake-specific setup.py, and use the same one
as Bazel uses instead.

Change: 138143557

Change: 137532946

Change: 135698415

* Initial support for building TensorFlow on Windows (#17).

This PR contains an initial version of support for building TensorFlow
(CPU only) on Windows using CMake. It includes documentation for building
with CMake on Windows, platform-specific code for implementing core functions
on Windows, and CMake rules for building the C++ example trainer
program and a PIP package (Python 3.5 only). The CMake rules support building
TensorFlow with Visual Studio 2015.

Windows support is a work in progress, and we welcome your feedback and
contributions.

For full details of the features currently supported and instructions for
how to build TensorFlow on Windows, please see the file
`tensorflow/contrib/cmake/README.md`.

* Exclude platform/windows where necessary.

* Also upgrade the protobuf dependency version for pip install: 3.0.0b2 --> 3.0.0

* Make upgrades in ci_build docker images and pip package install script.

* Installing dependencies of the pip package (six and protobuf) in the docker images (or Mac) directly, so that the --no-deps flag can be used during PIP test to avoid the time-consuming building of numpy from source.
Change: 133949959

Change: 133874452

Instead of generating a separate `python_deps.so` and `_pywrap_tensorflow.so`, we now generate a single `_pywrap_tensorflow.so` containing the entire runtime, like the Bazel build. This simplifies the linkage on other platforms.

Change: 133096559

Change: 128958134

Change: 128401884

* Simplify Eigen package config

* Add missing unsupported/Eigen/*

* Fix pip setup.py

* Adjust new eigen header

* Fix bazel include dependency error

* Adjust Makefile to work with Eigen changes

* Remove nvcc workaround for CUDA <= 6.0

CUDA versions prior to 6.5 gave an

    error: kernel launches from templates are not allowed in system files

error when using gcc v4.8 and including code that uses templated
kernel launches via `-isystem`.
In order to work around this, the GPU crosstool converted `-isystem`
arguments containing the cuda headers into `-iquote` arguments.
This workaround has now been removed.

* Configure cmake and make to get eigen version from tensorflow/workspace.bzl

Change: 127374393

Change: 126335170

Change: 125835079

Also, if the TAG is not found, log an info rather than warning.
Change: 125476271

Reverting e040904b

Change: 125080305

Updated version number. 
Minor change. But I was confused for a short time about the old version number in the newly generated .whl file...

Change: 123901292

Change: 121586635

Version bumping for 0.8.0 final release (#1959)

0.8.0rc0 --> 0.8.0

Change: 120185825

version_test.py: patch can be alphanumeric (e.g., 0rc0)

- Made a header only cc_library target for tensorflow/core:framework
- Added a tf_custom_op_library macro to cut down the boiler plate
- Added ability to compile custom user ops using CUDA

Fixes #1378, #1419
Change: 116991629

Change: 116925769

This reverts commit 4b306940.

This cherry-pick was not necessary -- the change to tensorboard
paths was done after 0.7.0.