22-12-23 update some links to https

docs-site/docs/build.md

@@ -165,7 +165,7 @@ For installing swig
 
 ```shell
 sudo yum install pcre-devel
-wget http://prdownloads.sourceforge.net/swig/swig-3.0.10.tar.gz
+wget https://prdownloads.sourceforge.net/swig/swig-3.0.10.tar.gz
 tar xvzf swig-3.0.10.tar.gz
 cd swig-3.0.10.tar.gz
 ./configure --prefix=${RUN}
@@ -519,7 +519,7 @@ $ make package
   Python linked by PySINGA via `otool -L <path to _singa_wrap.so>`. To fix this
   error, compile SINGA with the correct version of Python. In particular, if you
   build PySINGA from source, you need to specify the paths when invoking
-  [cmake](http://stackoverflow.com/questions/15291500/i-have-2-versions-of-python-installed-but-cmake-is-using-older-version-how-do)
+  [cmake](https://stackoverflow.com/questions/15291500/i-have-2-versions-of-python-installed-but-cmake-is-using-older-version-how-do)
 
         $ cmake -DPYTHON_LIBRARY=`python-config --prefix`/lib/libpython2.7.dylib -DPYTHON_INCLUDE_DIR=`python-config --prefix`/include/python2.7/ ..
 

docs-site/docs/contribute-code.md

@@ -8,8 +8,8 @@ title: How to Contribute Code
 ## Coding Style
 
 The SINGA codebase follows the Google Style for both
-[CPP](http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml) and
-[Python](http://google.github.io/styleguide/pyguide.html) code.
+[CPP](https://google-styleguide.googlecode.com/svn/trunk/cppguide.xml) and
+[Python](https://google.github.io/styleguide/pyguide.html) code.
 
 A simple way to enforce the Google coding styles is to use the linting and
 formating tools in the Visual Studio Code editor:
@@ -56,7 +56,7 @@ different PRs would be identical to get rid of github pull request conflicts.
 First, install LLVM 9.0 which provides clang-format version 9.0.0. The download
 page of LLVM is:
 
-- [LLVM](http://releases.llvm.org/download.html#9.0.0)
+- [LLVM](https://releases.llvm.org/download.html#9.0.0)
 
   - On Ubuntu
 

docs-site/docs/contribute-docs.md

@@ -60,7 +60,7 @@ To generate docs, run "doxygen" from the doc folder (Doxygen >= 1.8 recommended)
 ### Python API
 
 Follow the
-[Google Python DocString Style](http://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings).
+[Google Python DocString Style](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings).
 
 ## Visual Studio Code (vscode)
 

docs-site/docs/download.md

@@ -20,10 +20,10 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 
 ## V3.3.0 (07 June 2022):
 
-- [Apache SINGA 3.3.0](http://www.apache.org/dyn/closer.cgi/singa/3.3.0/apache-singa-3.3.0.tar.gz)
+- [Apache SINGA 3.3.0](https://www.apache.org/dyn/closer.cgi/singa/3.3.0/apache-singa-3.3.0.tar.gz)
   [\[SHA512\]](https://www.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.sha512)
   [\[ASC\]](https://www.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.asc)
-- [Release Notes 3.3.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_3.3.0)
+- [Release Notes 3.3.0](https://singa.apache.org/docs/releases/RELEASE_NOTES_3.3.0)
 - Major changes:
   * New examples
     - Add one CNN example for the BloodMnist dataset, a sub set of MedMNIST.
@@ -51,7 +51,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 3.2.0](https://archive.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz)
   [\[SHA512\]](https://archive.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz.sha512)
   [\[ASC\]](https://archive.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz.asc)
-- [Release Notes 3.2.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_3.2.0)
+- [Release Notes 3.2.0](https://singa.apache.org/docs/releases/RELEASE_NOTES_3.2.0)
 - Major changes:
   * New examples
     - Add one cifar-10 distributed CNN example for benchmarking the performance 
@@ -81,7 +81,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 3.1.0](https://archive.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz)
   [\[SHA512\]](https://archive.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.sha512)
   [\[ASC\]](https://archive.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.asc)
-- [Release Notes 3.1.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_3.1.0)
+- [Release Notes 3.1.0](https://singa.apache.org/docs/releases/RELEASE_NOTES_3.1.0)
 - Major changes:
   - Update Tensor core:
     - Support tensor transformation (reshape, transpose) for tensors up to 6
@@ -111,7 +111,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 3.0.0](https://archive.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz)
   [\[SHA512\]](https://archive.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.sha512)
   [\[ASC\]](https://archive.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.asc)
-- [Release Notes 3.0.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_3.0.0)
+- [Release Notes 3.0.0](https://singa.apache.org/docs/releases/RELEASE_NOTES_3.0.0)
 - New features and major changes,
   - Enhanced ONNX. Multiple ONNX models have been tested in SINGA.
   - Distributed training with MPI and NCCL Communication optimization through
@@ -130,7 +130,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 2.0.0 (incubating)](https://archive.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz)
   [\[SHA512\]](https://archive.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512)
   [\[ASC\]](https://archive.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.asc)
-- [Release Notes 2.0.0 (incubating)](http://singa.apache.org/docs/releases/RELEASE_NOTES_2.0.0.html)
+- [Release Notes 2.0.0 (incubating)](https://singa.apache.org/docs/releases/RELEASE_NOTES_2.0.0.html)
 - New features and major updates,
   - Enhance autograd (for Convolution networks and recurrent networks)
   - Support ONNX
@@ -144,7 +144,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 1.2.0 (incubating)](https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz)
   [\[SHA512\]](https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512)
   [\[ASC\]](https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc)
-- [Release Notes 1.2.0 (incubating)](http://singa.apache.org/docs/releases/RELEASE_NOTES_1.2.0.html)
+- [Release Notes 1.2.0 (incubating)](https://singa.apache.org/docs/releases/RELEASE_NOTES_1.2.0.html)
 - New features and major updates,
   - Implement autograd (currently support MLP model)
   - Upgrade PySinga to support Python 3
@@ -162,7 +162,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 1.1.0 (incubating)](https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz)
   [\[MD5\]](https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5)
   [\[ASC\]](https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.asc)
-- [Release Notes 1.1.0 (incubating)](http://singa.apache.org/docs/releases/RELEASE_NOTES_1.1.0.html)
+- [Release Notes 1.1.0 (incubating)](https://singa.apache.org/docs/releases/RELEASE_NOTES_1.1.0.html)
 - New features and major updates,
   - Create Docker images (CPU and GPU versions)
   - Create Amazon AMI for SINGA (CPU version)
@@ -186,7 +186,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 1.0.0 (incubating)](https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz)
   [\[MD5\]](https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5)
   [\[ASC\]](https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.asc)
-- [Release Notes 1.0.0 (incubating)](http://singa.apache.org/docs/releases/RELEASE_NOTES_1.0.0.html)
+- [Release Notes 1.0.0 (incubating)](https://singa.apache.org/docs/releases/RELEASE_NOTES_1.0.0.html)
 - New features and major updates,
   - Tensor abstraction for supporting more machine learning models.
   - Device abstraction for running on different hardware devices, including CPU,
@@ -206,7 +206,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 0.3.0 (incubating)](https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz)
   [\[MD5\]](https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5)
   [\[ASC\]](https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.asc)
-- [Release Notes 0.3.0 (incubating)](http://singa.apache.org/docs/releases/RELEASE_NOTES_0.3.0.html)
+- [Release Notes 0.3.0 (incubating)](https://singa.apache.org/docs/releases/RELEASE_NOTES_0.3.0.html)
 - New features and major updates,
   - Training on GPU cluster enables training of deep learning models over a GPU
     cluster.
@@ -224,7 +224,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
 - [Apache SINGA 0.2.0 (incubating)](https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz)
   [\[MD5\]](https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5)
   [\[ASC\]](https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.asc)
-- [Release Notes 0.2.0 (incubating)](http://singa.apache.org/docs/releases/RELEASE_NOTES_0.2.0.html)
+- [Release Notes 0.2.0 (incubating)](https://singa.apache.org/docs/releases/RELEASE_NOTES_0.2.0.html)
 - New features and major updates,
   - Training on GPU enables training of complex models on a single node with
     multiple GPU cards.
@@ -252,7 +252,7 @@ You can also check the SHA512 or MD5 values to see if the download is completed.
   [\[MD5\]](https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5)
   [\[ASC\]](https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc)
 - [Amazon EC2 image](https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6)
-- [Release Notes 0.1.0 (incubating)](http://singa.apache.org/docs/releases/RELEASE_NOTES_0.1.0.html)
+- [Release Notes 0.1.0 (incubating)](https://singa.apache.org/docs/releases/RELEASE_NOTES_0.1.0.html)
 - Major features include,
   - Installation using GNU build utility
   - Scripts for job management with zookeeper

docs-site/docs/history-singa.md

@@ -13,29 +13,29 @@ cite the following two papers if you use SINGA in your research:
 
 - B.C. Ooi, K.-L. Tan, S. Wang, W. Wang, Q. Cai, G. Chen, J. Gao, Z. Luo, A. K.
   H. Tung, Y. Wang, Z. Xie, M. Zhang, and K. Zheng.
-  [SINGA: A distributed deep learning platform](http://www.comp.nus.edu.sg/~ooibc/singaopen-mm15.pdf).
+  [SINGA: A distributed deep learning platform](https://www.comp.nus.edu.sg/~ooibc/singaopen-mm15.pdf).
   ACM Multimedia (Open Source Software Competition) 2015
 
 - W. Wang, G. Chen, T. T. A. Dinh, B. C. Ooi, K.-L.Tan, J. Gao, and S. Wang.
-  [SINGA: putting deep learning in the hands of multimedia users](http://www.comp.nus.edu.sg/~ooibc/singa-mm15.pdf).
+  [SINGA: putting deep learning in the hands of multimedia users](https://www.comp.nus.edu.sg/~ooibc/singa-mm15.pdf).
   ACM Multimedia 2015.
 
 Rafiki is a sub module of SINGA. Please cite the following paper if you use
 Rafiki in your research:
 
 - Wei Wang, Jinyang Gao, Meihui Zhang, Sheng Wang, Gang Chen, Teck Khim Ng, Beng
   Chin Ooi, Jie Shao, Moaz Reyad.
-  [Rafiki: Machine Learning as an Analytics Service System](http://www.vldb.org/pvldb/vol12/p128-wang.pdf).
-  [VLDB 2019](http://vldb.org/2019/)
+  [Rafiki: Machine Learning as an Analytics Service System](https://www.vldb.org/pvldb/vol12/p128-wang.pdf).
+  [VLDB 2019](https://vldb.org/2019/)
   ([BibTex](https://dblp.org/rec/bib2/journals/pvldb/WangWGZCNOS18.bib)).
 
-Companies like [NetEase](http://tech.163.com/17/0602/17/CLUL016I00098GJ5.html),
-[yzBigData](http://www.yzbigdata.com/en/index.html),
+Companies like [NetEase](https://tech.163.com/17/0602/17/CLUL016I00098GJ5.html),
+[yzBigData](https://www.yzbigdata.com/en/index.html),
 [Shentilium](https://shentilium.com/), [Foodlg](http://www.foodlg.com/) and
 [Medilot](https://medilot.com/technologies) are using SINGA for their
 applications.
 
 ## License
 
 SINGA is released under
-[Apache License Version 2.0](http://www.apache.org/licenses/LICENSE-2.0)
+[Apache License Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)

docs-site/docs/how-to-release.md

@@ -6,7 +6,7 @@ title: How to Prepare a Release
 <!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements.  See the NOTICE file distributed with this work for additional information regarding copyright ownership.  The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.  You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  See the License for the specific language governing permissions and limitations under the License.  -->
 
 This is a guide for the
-[release preparing process](http://www.apache.org/dev/release-publishing.html)
+[release preparing process](https://www.apache.org/dev/release-publishing.html)
 in SINGA.
 
 1. Select a release manager. The release manager (RM) is the coordinator for the
@@ -15,7 +15,7 @@ in SINGA.
    public key server. The RM needs to get his key endorsed (signed) by other
    Apache user, to be connected to the web of trust. He should first ask the
    mentor to help signing his key.
-   [How to generate the key](http://www.apache.org/dev/release-signing.html)?
+   [How to generate the key](https://www.apache.org/dev/release-signing.html)?
 
 2. Check license. [FAQ](https://www.apache.org/legal/src-headers.html#faq-docs);
    [SINGA Issue](https://issues.apache.org/jira/projects/SINGA/issues/SINGA-447)
@@ -25,7 +25,7 @@ in SINGA.
    - The dependencies are compatible with APL. GNU-like licenses are NOT
      compatible;
    - All source files written by us MUST include the Apache license header:
-     http://www.apache.org/legal/src-headers.html. There's a script in there
+     https://www.apache.org/legal/src-headers.html. There's a script in there
      which helps propagating the header to all files.
    - Update the LICENSE file. If we include any third party code in the release
      package which is not APL, must state it at the end of the NOTICE file.
@@ -40,7 +40,7 @@ in SINGA.
 4. Prepare the RELEASE_NOTES file. Include the following items, Introduction,
    Features, Bugs (link to JIRA or Github PR), Changes, Dependency list,
    Incompatibility issues. Follow this
-   [example](http://commons.apache.org/proper/commons-digester/commons-digester-3.0/RELEASE-NOTES.txt).
+   [example](https://commons.apache.org/proper/commons-digester/commons-digester-3.0/RELEASE-NOTES.txt).
 
 5. Package the release candidate. The release should be packaged into :
    apache-singa-VERSION.tar.gz. The release should not include any binary files
@@ -68,7 +68,7 @@ in SINGA.
    [stage repo](https://dist.apache.org/repos/dist/dev/singa/). The tar file,
    signature, KEY and SHA256 checksum file should be included. MD5 is no longer
    used. Policy is
-   [here](http://www.apache.org/dev/release-distribution#sigs-and-sums). The
+   [here](https://www.apache.org/dev/release-distribution#sigs-and-sums). The
    stage folder should include:
 
    - apache-singa-VERSION.tar.gz
@@ -130,7 +130,7 @@ in SINGA.
    https://github.com/apache/singa/releases/tag/3.1.0.rc2
 
    The documentation website is at
-   http://singa.apache.org/docs/next/installation/
+   https://singa.apache.org/docs/next/installation/
 
    Some examples are available for testing:
    https://github.com/apache/singa/tree/master/examples
@@ -172,13 +172,13 @@ passed.
 ````
 
 8) Upload the package for
-[distribution](http://www.apache.org/dev/release-publishing.html#distribution)
+[distribution](https://www.apache.org/dev/release-publishing.html#distribution)
 to https://dist.apache.org/repos/dist/release/singa/.
 
 9) Update the Download page of SINGA website. The tar.gz file MUST be downloaded
 from mirror, using closer.cgi script; other artifacts MUST be downloaded from
 main Apache site. More details
-[here](http://www.apache.org/dev/release-download-pages.html). Some feedback
+[here](https://www.apache.org/dev/release-download-pages.html). Some feedback
 we got during the previous releases: "Download pages must only link to formal
 releases, so must not include links to GitHub.", "Links to KEYS, sigs and
 hashes must not use dist.apache.org; instead use
@@ -198,7 +198,7 @@ the downloads."
 
  SINGA is a general distributed deep learning platform
  for training big deep learning models over large datasets.
- The release is available at: http://singa.apache.org/downloads.html
+ The release is available at: https://singa.apache.org/downloads.html
  The main features of this release include XXX
  We look forward to hearing your feedback, suggestions,
  and contributions to the project.

docs-site/docs/install-win.md

@@ -19,12 +19,12 @@ The dependencies are:
   - Visual Studio. The community edition is free and can be used to build SINGA.
     https://www.visualstudio.com/
 - CMake
-  - Can be downloaded from http://cmake.org/
+  - Can be downloaded from https://cmake.org/
   - Make sure the path to cmake executable is in the system path, or use full
     path when calling cmake.
 - SWIG
 
-  - Can be downloaded from http://swig.org/
+  - Can be downloaded from https://swig.org/
   - Make sure the path to swig executable is in the system path, or use full
     path when calling swig. Use a recent version such as 3.0.12.
 
@@ -40,10 +40,10 @@ The dependencies are:
 - Openblas
 
   - Download a suitable source version such as 0.2.20 from
-    http://www.openblas.net
+    https://www.openblas.net
   - Extract the source in the dependencies folder.
   - If you don't have Perl installed, download a perl environment such as
-    Strawberry Perl (http://strawberryperl.com/)
+    Strawberry Perl (https://strawberryperl.com/)
   - Build the Visual Studio solution by running this command in the source
     folder:
 

docs-site/docs/installation.md

@@ -17,7 +17,7 @@ SINGA.
    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/17RA056Brwk0vBQTFaZ-l9EbqwADO0NA9?usp=sharing)
 
 ```bash
-pip install singa -f http://singa.apache.org/docs/next/wheel-cpu.html --trusted-host singa.apache.org
+pip install singa -f https://singa.apache.org/docs/next/wheel-cpu.html --trusted-host singa.apache.org
 ```
 
 You can install a specific version of SINGA via `singa==<version>`, where the
@@ -28,7 +28,7 @@ versions are listed at the link.
    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1W30IPCqj5fG8ADAQsFqclaCLyIclVcJL?usp=sharing)
 
 ```bash
-pip install singa -f http://singa.apache.org/docs/next/wheel-gpu.html --trusted-host singa.apache.org
+pip install singa -f https://singa.apache.org/docs/next/wheel-gpu.html --trusted-host singa.apache.org
 ```
 
 You can also configure SINGA version and the CUDA version, like