Adding info about issue using Unicode strings with Datasets.

- Adds the standard warning at the top that people may want the master branch
- Includes a documentation fix for 1.4 (cc_binary -> tf_cc_binary to avoid
  undefined symbols).

Cherry-pick to disable S3 on windows and renamed serving_input_fn arg.

PiperOrigin-RevId: 172787460

Cherry-pick in additional bug fixes to r1.4 branch.

PiperOrigin-RevId: 172408922

Due to a mix-up between NumPy's default array element type for a Python `int` on Windows and Linux, a tf.py_func() in `Dataset.from_generator()` would appear to return the wrong type on Windows (np.int32 instead of np.int64).

All code using `Dataset.from_generator()` on Windows was previously broken. This change fixes both `tf.data.Dataset.from_generator()` and `tf.contrib.data.Dataset.from_generator()`. It also enables test coverage for this method on Windows, which should prevent future breakage.

PiperOrigin-RevId: 172346533

PiperOrigin-RevId: 172366972

Set estimator run_config default random seed to None. This will make it aligned with other parts of the TF. Many users are not aware of impact of non-random seed. For example it may lead to train only on a small fraction of training data due to preemptions.
We're changing default behavior since we consider it as a bug fix.

PiperOrigin-RevId: 172519268

tensorflow/contrib/s3/s3_crypto.cc(74): error C2666:
'std::fpos<_Mbstatet>::operator ==': 3 overloads have similar conversions
could be 'bool std::fpos<_Mbstatet>::operator ==(std::streamoff) const'
or 'bool std::fpos<_Mbstatet>::operator ==(const std::fpos<_Mbstatet> &)
We were seeing this compilation error on Windows builds.

tfdbg release notes in r1.4

* Java: Tweak to address some Javadoc errors.

PiperOrigin-RevId: 171987329

* Fix S3 BUILD not including files explicitly.

This causes remote builds to fail since they AWS headers were missing.

PiperOrigin-RevId: 171718021

* Add missing default config setting in aws.BUILD (#13662)

* Remove setting AWS logging for S3 file system.

Was causing issues with tests. Can repro test failures on Macs by running...

bazel test --config=s3  --cache_test_results=no --test_output=streamed
//tensorflow/core/kernels:control_flow_ops_test

Possible reason for error is symbol collision with AWS logging code.
One possible solution would be to split out another shared object for
the S3 filesystem op which does not link in libtensorflow_framework.so.
This is done, for example, by libforestprotos.so in
tensorflow/contrib/tensor_forest/BUILD

PiperOrigin-RevId: 171246381

* Relanding change to add config to enable S3 file system support.

Pass --config=s3 argument to Bazel to build with S3 file system support.
Change was originally rolled back due to a failure it caused in
//tensorflow/core/kernels:control_flow_ops_test on Macs which is now fixed.

PiperOrigin-RevId: 171579378

* Update release notes about Amazon S3 file system support being default.

* Add documentation to sloppy_interleave function

PiperOrigin-RevId: 171303413

* Add `cudnn_rnn_ops` to the Windows build

Fixes #13696.

Update version strings for 1.4.0rc1

Cherry-pick "Fix for a regression in graph rewrite pass (MKL)" into 1.4 branch.

Fixes and additions to release notes.

Added line about Keras moving into core.
Added line about CUDA/cuDNN versions.
Added line about custom ops.

Add contributing authors to 1.4 Release notes.

Removed duplicate and removed googler from contributing author list.

Thanks!

* Disable failing Windows tests for r1.4 release.

testRemoteIteratorUsingRemoteCallOpDirectSessionGPUCPU test is failing
with "TypeError: only integer scalar arrays can be converted to a scalar
index" on the Windows GPU Release bot. Disabling test.

* Fix typo.

* Also disalbe iterator_ops_test from contrib/.

Revert "Implementing ghost batch norm as defined in https://arxiv.org…

Pin TensorBoard 0.4 to TensorFlow 1.4

This reverts commit 125f7afa.

Update version strings for TensorFlow 1.4-rc0

Update release notes for TensorFlow 1.4

Use random.sample to simplify random selection of context words