Change: 144216903

tf.negative, tf.multiply, tf.subtract are the new names
- Also enabled deprecation warning (to be completely removed by friday)
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Change: 144211572

Build and expose benchmark_model binary as part of Android nightly build, and also run build_all_android.sh for better build coverage.
Change: 144158273

Change: 144158100

Change: 144155792

Android demo: Add support for YOLO-based object detection to object tracking demo. Set USE_YOLO boolean flag in DetectorActivity.java to true and add model according to directions there to enable.
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Change: 144152960

is active.
Before the tfevents file was created even if the hook is never
installed, which confuses Tensorboard and can cause it to watch the wrong
file and not display updates.
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Change: 144142420

- Prevent tf.divide from using operator overloads which cannot pass names
- Use dummy python class to properly delegate to the right division mode
  (i.e. python2 vs python3 vs from __future__ import divide)

Fixes #6741
Change: 144140254

set tf.concat_v2 to be an alias to tf.concat and remove concat_v2 doc.
Change: 144139939

Remove std:: from std::round() calls in benchmark_model.cc to avoid issue in Android ndk where std::round is not found: https://code.google.com/p/android/issues/detail?id=54418
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Change: 144133445

op.
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Change: 144127608

Removed graph_action usage.
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This script currently is minimally tested. It is a work in progress currently.
Change: 144125570

[XLA] Compute source indices in each common factor of reshape from target indices in same common factor
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Change: 144112386

Set up the generated gradient while loops properly so that `None` is propagated when using tf.stop_gradient.
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Change: 144101397

And fix a typo.

Another step in the journey that is #5.
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Change: 144086694

This hopefully addresses a potential race when training is not set up
correctly: for instance, multiple training programs are running concurrently,
but with the same log directory (used in tf.train.Saver()'s save_path).
Change: 144078857