TensorFlow: Removal of large assets and small other fixes.

Changes:

- Remove all large assets from the repoistory, incuding the other 50MiB
  model protobuf and a lot of images in our g3doc directory. We will
  maintain these assets externally for now.  g3doc images may be
  broken for a little bit, but the website will be fine, which
  is the important resource. By @vrv and @petewarden.  Updates
  READMES to reflect the external model resources.

- Fix to saver's latest_checkpoint function by Zhifeng

- Made protos visibility public by @vrv

- Updates to docs by @mrry, Andy

- Embed tensorboard resource for summary icon by Daniel

- More updates to backwars compat by @josh11b

Base CL: 108194981

1 files changed, 16 insertions, 4 deletions

diff --git a/tensorflow/examples/android/README.md b/tensorflow/examples/android/README.md
index e115c0a609..b209f1a01f 100644
--- a/tensorflow/examples/android/README.md
+++ b/tensorflow/examples/android/README.md
@@ -5,9 +5,7 @@ This folder contains a simple camera-based demo application utilizing Tensorflow
 ## Description
 
 This demo uses a Google Inception model to classify camera frames in real-time,
-displaying the top results in an overlay on the camera image. See
-[`assets/imagenet_comp_graph_label_strings.txt`](assets/imagenet_comp_graph_label_strings.txt)
-for the possible classifications.
+displaying the top results in an overlay on the camera image.
 
 ## To build/install/run
 
@@ -21,7 +19,21 @@ installed the NDK and SDK. Otherwise an error such as:
 "The external label '//external:android/sdk' is not bound to anything" will
 be reported.
 
-To build the APK, run this from your workspace root:
+The TensorFlow `GraphDef` that contains the model definition and weights
+is not packaged in the repo because of its size. Instead, you must
+first download the file to the `assets` directory in the source tree:
+
+```bash
+$ wget https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip -O tensorflow/examples/android/assets/inception5h.zip
+
+$ unzip tensorflow/examples/android/assets/inception5h.zip -d tensorflow/examples/android/assets/
+```
+
+The labels file describing the possible classification will also be in the
+assets directory.
+
+Then, after editing your WORKSPACE file, you must build the APK. Run this from
+your workspace root:
 
 ```bash
 $ bazel build //tensorflow/examples/android:tensorflow_demo -c opt --copt=-mfpu=neon