Re-apply #266

Summary: Closes https://github.com/caffe2/caffe2/pull/404

Differential Revision: D4943280

Pulled By: Yangqing

fbshipit-source-id: c0988598d8ccb8329feac88382686324b90d4d46

README.md

@@ -1,18 +1,22 @@
 # Caffe2
 
-Caffe2 is a deep learning framework made with expression, speed, and modularity in mind. It is an experimental refactoring of Caffe, and allows a more flexible way to organize computation.
+Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original [Caffe](http://caffe.berkeleyvision.org), Caffe2 is designed with expression, speed, and modularity in mind.
+
+## Questions and Feedback
+
+Please use Github issues (https://github.com/caffe2/caffe2/issues) to ask questions, report bugs, and request new features.
+
+Please participate in our survey (https://www.surveymonkey.com/r/caffe2). We will send you information about new releases and special developer events/webinars.
 
 ## License and Citation
 
 Caffe2 is released under the [BSD 2-Clause license](https://github.com/Yangqing/caffe2/blob/master/LICENSE).
 
-## Building Caffe2
+### Build Status
 
 [![Travis Build Status](https://travis-ci.org/caffe2/caffe2.svg?branch=master)](https://travis-ci.org/caffe2/caffe2)
-
 [![Windows Build status](https://ci.appveyor.com/api/projects/status/kec4ta779stuyb83?svg=true)](https://ci.appveyor.com/project/Yangqing/caffe2)
 
-
 Detailed build matrix (hit refresh if you see icons not showing up due to heroku):
 
 | Target      | Status |
@@ -24,83 +28,14 @@ Detailed build matrix (hit refresh if you see icons not showing up due to heroku
 | Linux + MKL | [![Build LinuxMKL](https://travis-matrix-badges.herokuapp.com/repos/caffe2/caffe2/branches/master/6)](https://travis-ci.org/caffe2/caffe2) |
 | Windows     | [![Build status](https://ci.appveyor.com/api/projects/status/kec4ta779stuyb83?svg=true)](https://ci.appveyor.com/project/Yangqing/caffe2) |
 
-    git clone --recursive https://github.com/caffe2/caffe2.git
-    cd caffe2
-    
-#### OS X
-    
-    brew install automake protobuf
-    mkdir build && cd build
-    cmake ..
-    make
+### Further Resources on [Caffe2.ai](http://caffe2.ai)
 
-#### Ubuntu
-
-    sudo apt-get install libprotobuf-dev protobuf-compiler libatlas-base-dev libgoogle-glog-dev libgtest-dev liblmdb-dev libleveldb-dev libsnappy-dev python-dev python-pip libiomp-dev libopencv-dev libpthread-stubs0-dev cmake python-protobuf
-    sudo pip install numpy
-    wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_8.0.44-1_amd64.deb
-    sudo dpkg -i cuda-repo-ubuntu1404_8.0.44-1_amd64.deb
-    sudo apt-get update
-    sudo apt-get install cuda
-    sudo apt-get install git
-
-    CUDNN_URL="http://developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-linux-x64-v5.1.tgz" &&
-    curl -fsSL ${CUDNN_URL} -O &&
-    sudo tar -xzf cudnn-8.0-linux-x64-v5.1.tgz -C /usr/local &&
-    rm cudnn-8.0-linux-x64-v5.1.tgz &&
-    sudo ldconfig
-    
-    mkdir build && cd build
-    cmake ..
-    make
-
-#### Android and iOS
-
-We use CMake's Android and iOS ports to build native binaries that you can then integrate into your Android or Xcode projects. See scripts/build_android.sh and scripts/build_ios.sh for more details.
-
-For Android, one can also use gradle to build Caffe2 directly with Android Studio. An example project can be found [here](https://github.com/bwasti/AICamera). Note that you may need to configure Android Studio so that it has the right SDK and NDK versions to build the code.
-
-#### Raspberry Pi
-
-For Raspbian, run scripts/build_raspbian.sh on the Raspberry Pi.
-
-#### Tegra X1
-
-To install Caffe2 on NVidia's Tegra X1 platform, simply install the latest system with the NVidia JetPack installer, and then run scripts/build_tegra_x1.sh on the Tegra device.
-    
-## Python support
-
-To run the tutorials you'll need ipython-notebooks and matplotlib, which can be installed on OS X with:
-    
-    brew install matplotlib --with-python3
-    pip install ipython notebook
-
-## Build status (known working)
-
-Ubuntu 14.04 (GCC)
-- [x] Default CPU build
-- [x] Default GPU build
-
-OS X (Clang)
-- [x] Default CPU build
-- [x] Default GPU build
-
-Options (both Clang and GCC)
-- [ ] Nervana GPU
-- [ ] ZMQ
-- [ ] RocksDB
-- [ ] MPI
-- [ ] OpenMP
-- [x] No LMDB
-- [x] No LevelDB
-- [x] No OpenCV
-
-BLAS
-- [x] OpenBLAS
-- [x] ATLAS
-- [ ] MKL
-
-Other
-- [x] CMake 2.8 support
-- [x] List of dependencies for Ubuntu 14.04
-- [x] List of dependencies for OS X
+* [Installation](http://caffe2.ai/docs/getting-started.html)
+* [Learn More](http://caffe2.ai/docs/learn-more.html)
+* [Upgrading to Caffe2](http://caffe2.ai/docs/caffe-migration.html)
+* [Datasets](http://caffe2.ai/docs/datasets.html)
+* [Model Zoo](http://caffe2.ai/docs/zoo.html)
+* [Tutorials](http://caffe2.ai/docs/tutorials.html)
+* [Operators Catalogue](http://caffe2.ai/docs/operators-catalogue.html)
+* [C++ API](http://caffe2.ai/doxygen-c/html/classes.html)
+* [Python API](http://caffe2.ai/doxygen-python/html/namespaces.html)

caffe2/core/common.h

@@ -29,7 +29,7 @@
 // as a track point for bugs, until we find a proper versioning cycle.
 
 #define CAFFE2_VERSION_MAJOR 0
-#define CAFFE2_VERSION_MINOR 5
+#define CAFFE2_VERSION_MINOR 6
 #define CAFFE2_VERSION_PATCH 0
 #define CAFFE2_VERSION                                         \
   (CAFFE2_VERSION_MAJOR * 10000 + CAFFE2_VERSION_MINOR * 100 + \

caffe2/python/helpers/pooling.py

@@ -1,3 +1,5 @@
+## @package pooling
+# Module caffe2.python.helpers.pooling
 ## @package fc
 # Module caffe2.python.helpers.pooling
 from __future__ import absolute_import

caffe2/python/layer_test_util.py

@@ -1,3 +1,5 @@
+## @package layer_test_util
+# Module caffe2.python.layer_test_util
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

caffe2/python/layers/optimizers.py

@@ -1,3 +1,5 @@
+## @package optimizers
+# Module caffe2.python.layers.optimizers
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

caffe2/python/layers/uniform_sampling.py

@@ -1,3 +1,5 @@
+## @package uniform_sampling
+# Module caffe2.python.layers.uniform_sampling
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

caffe2/python/predictor/predictor_exporter.py

@@ -1,3 +1,5 @@
+## @package predictor_exporter
+# Module caffe2.python.predictor.predictor_exporter
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

caffe2/python/predictor/predictor_py_utils.py

@@ -1,3 +1,5 @@
+## @package predictor_py_utils
+# Module caffe2.python.predictor.predictor_py_utils
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

caffe2/python/predictor/serde.py

@@ -1,3 +1,5 @@
+## @package serde
+# Module caffe2.python.predictor.serde
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

caffe2/python/predictor_constants.py

@@ -1,3 +1,5 @@
+## @package predictor_constants
+# Module caffe2.python.predictor_constants
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function

scripts/diagnose_protobuf.py

@@ -1,3 +1,5 @@
+## @package diagnose_protobuf
+# Module scripts.diagnose_protobuf
 """Diagnoses the current protobuf situation.
 
 Protocol buffer needs to be properly installed for Caffe2 to work, and
@@ -11,6 +13,10 @@ Usage:
     python scripts/diagnose_protobuf.py
 """
 
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+from __future__ import unicode_literals
 import os
 import re
 from subprocess import Popen, PIPE