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Posted to commits@singa.apache.org by zh...@apache.org on 2021/09/07 12:09:12 UTC

[singa-doc] branch master updated: 21-9-7 download page

This is an automated email from the ASF dual-hosted git repository.

zhaojing pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/singa-doc.git


The following commit(s) were added to refs/heads/master by this push:
     new 95db61d  21-9-7 download page
     new 50453f5  Merge pull request #49 from lzjpaul/21-9-7-download-page
95db61d is described below

commit 95db61d518cda5e9a79e30f2321d4243f6c45307
Author: zhaojing <zh...@comp.nus.edu.sg>
AuthorDate: Tue Sep 7 19:58:02 2021 +0800

    21-9-7 download page
---
 docs-site/docs/download.md                         | 36 ++++++++++++++++++--
 .../versioned_docs/version-3.2.0.rc1}/download.md  | 39 +++++++++++++++++++---
 .../versioned_docs/version-3.2.0}/download.md      | 39 +++++++++++++++++++---
 .../version-3.2.0_Chinese/installation.md          | 14 ++++----
 4 files changed, 110 insertions(+), 18 deletions(-)

diff --git a/docs-site/docs/download.md b/docs-site/docs/download.md
index d58524a..6d9b108 100644
--- a/docs-site/docs/download.md
+++ b/docs-site/docs/download.md
@@ -18,11 +18,41 @@ the following commands
 
 You can also check the SHA512 or MD5 values to see if the download is completed.
 
+## V3.2.0 (15 August 2021):
+
+- [Apache SINGA 3.2.0](http://www.apache.org/dyn/closer.cgi/singa/3.2.0/apache-singa-3.2.0.tar.gz)
+  [\[SHA512\]](https://www.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz.sha512)
+  [\[ASC\]](https://www.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)
+- Major changes:
+  * New examples
+    - Add one cifar-10 distributed CNN example for benchmarking the performance 
+      of the distributed training.
+    - Add one large CNN example for training with a dataset from the filesysetm.
+  * Enhance distributed training
+    - Improve the data augmentation module for faster distributed training.
+    - Add device synchronization for more accurate time measurements during the distributed 
+      training.
+  * Add Support for half-precision floating-point format (fp16) in deep learning models and 
+    computational kernels.
+  * Update new onnx APIs and fix onnx examples accordingly, namely, DenseNet121, ShuffleNetv1, 
+    ShuffleNetv2, SqueezeNet, VGG19.
+  * Add a new method to resize images by given width and height.
+  * Use docusaurus versioning to simplify the process of generating the project homepage.
+  * Promote code quality
+    - Unify the formats of docstrings that describe the contents and usage of the module.
+    - Unify the parameters of command-line arguments.
+  * Fix bugs
+    - Fix the CI build error by downloading the tbb binaries.
+    - Add disabling graph option for accessing parameter or gradient tensors during distributed
+      training.
+    - Solve the warnings of deprecated functions in the distributed optimizer module.
+
 ## V3.1.0 (30 October 2020):
 
-- [Apache SINGA 3.1.0](http://www.apache.org/dyn/closer.cgi/singa/3.1.0/apache-singa-3.1.0.tar.gz)
-  [\[SHA512\]](https://www.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.sha512)
-  [\[ASC\]](https://www.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.asc)
+- [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)
 - Major changes:
   - Update Tensor core:
diff --git a/docs-site/docs/download.md b/docs-site/website/versioned_docs/version-3.2.0.rc1/download.md
similarity index 84%
copy from docs-site/docs/download.md
copy to docs-site/website/versioned_docs/version-3.2.0.rc1/download.md
index d58524a..3c9f7b3 100644
--- a/docs-site/docs/download.md
+++ b/docs-site/website/versioned_docs/version-3.2.0.rc1/download.md
@@ -1,6 +1,7 @@
 ---
-id: downloads
+id: version-3.2.0.rc1-downloads
 title: Download SINGA
+original_id: downloads
 ---
 
 <!--- 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 agree [...]
@@ -18,11 +19,41 @@ the following commands
 
 You can also check the SHA512 or MD5 values to see if the download is completed.
 
+## V3.2.0 (15 August 2021):
+
+- [Apache SINGA 3.2.0](http://www.apache.org/dyn/closer.cgi/singa/3.2.0/apache-singa-3.2.0.tar.gz)
+  [\[SHA512\]](https://www.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz.sha512)
+  [\[ASC\]](https://www.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)
+- Major changes:
+  * New examples
+    - Add one cifar-10 distributed CNN example for benchmarking the performance 
+      of the distributed training.
+    - Add one large CNN example for training with a dataset from the filesysetm.
+  * Enhance distributed training
+    - Improve the data augmentation module for faster distributed training.
+    - Add device synchronization for more accurate time measurements during the distributed 
+      training.
+  * Add Support for half-precision floating-point format (fp16) in deep learning models and 
+    computational kernels.
+  * Update new onnx APIs and fix onnx examples accordingly, namely, DenseNet121, ShuffleNetv1, 
+    ShuffleNetv2, SqueezeNet, VGG19.
+  * Add a new method to resize images by given width and height.
+  * Use docusaurus versioning to simplify the process of generating the project homepage.
+  * Promote code quality
+    - Unify the formats of docstrings that describe the contents and usage of the module.
+    - Unify the parameters of command-line arguments.
+  * Fix bugs
+    - Fix the CI build error by downloading the tbb binaries.
+    - Add disabling graph option for accessing parameter or gradient tensors during distributed
+      training.
+    - Solve the warnings of deprecated functions in the distributed optimizer module.
+
 ## V3.1.0 (30 October 2020):
 
-- [Apache SINGA 3.1.0](http://www.apache.org/dyn/closer.cgi/singa/3.1.0/apache-singa-3.1.0.tar.gz)
-  [\[SHA512\]](https://www.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.sha512)
-  [\[ASC\]](https://www.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.asc)
+- [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)
 - Major changes:
   - Update Tensor core:
diff --git a/docs-site/docs/download.md b/docs-site/website/versioned_docs/version-3.2.0/download.md
similarity index 84%
copy from docs-site/docs/download.md
copy to docs-site/website/versioned_docs/version-3.2.0/download.md
index d58524a..8886ab7 100644
--- a/docs-site/docs/download.md
+++ b/docs-site/website/versioned_docs/version-3.2.0/download.md
@@ -1,6 +1,7 @@
 ---
-id: downloads
+id: version-3.2.0-downloads
 title: Download SINGA
+original_id: downloads
 ---
 
 <!--- 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 agree [...]
@@ -18,11 +19,41 @@ the following commands
 
 You can also check the SHA512 or MD5 values to see if the download is completed.
 
+## V3.2.0 (15 August 2021):
+
+- [Apache SINGA 3.2.0](http://www.apache.org/dyn/closer.cgi/singa/3.2.0/apache-singa-3.2.0.tar.gz)
+  [\[SHA512\]](https://www.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz.sha512)
+  [\[ASC\]](https://www.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)
+- Major changes:
+  * New examples
+    - Add one cifar-10 distributed CNN example for benchmarking the performance 
+      of the distributed training.
+    - Add one large CNN example for training with a dataset from the filesysetm.
+  * Enhance distributed training
+    - Improve the data augmentation module for faster distributed training.
+    - Add device synchronization for more accurate time measurements during the distributed 
+      training.
+  * Add Support for half-precision floating-point format (fp16) in deep learning models and 
+    computational kernels.
+  * Update new onnx APIs and fix onnx examples accordingly, namely, DenseNet121, ShuffleNetv1, 
+    ShuffleNetv2, SqueezeNet, VGG19.
+  * Add a new method to resize images by given width and height.
+  * Use docusaurus versioning to simplify the process of generating the project homepage.
+  * Promote code quality
+    - Unify the formats of docstrings that describe the contents and usage of the module.
+    - Unify the parameters of command-line arguments.
+  * Fix bugs
+    - Fix the CI build error by downloading the tbb binaries.
+    - Add disabling graph option for accessing parameter or gradient tensors during distributed
+      training.
+    - Solve the warnings of deprecated functions in the distributed optimizer module.
+
 ## V3.1.0 (30 October 2020):
 
-- [Apache SINGA 3.1.0](http://www.apache.org/dyn/closer.cgi/singa/3.1.0/apache-singa-3.1.0.tar.gz)
-  [\[SHA512\]](https://www.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.sha512)
-  [\[ASC\]](https://www.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.asc)
+- [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)
 - Major changes:
   - Update Tensor core:
diff --git a/docs-site/website/versioned_docs/version-3.2.0_Chinese/installation.md b/docs-site/website/versioned_docs/version-3.2.0_Chinese/installation.md
index a6a380c..4875ac9 100644
--- a/docs-site/website/versioned_docs/version-3.2.0_Chinese/installation.md
+++ b/docs-site/website/versioned_docs/version-3.2.0_Chinese/installation.md
@@ -16,14 +16,14 @@ Conda是一个Python、CPP等包的包管理器。
    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1Ntkhi-Z6XTR8WYPXiLwujHd2dOm0772V?usp=sharing)
 
 ```shell
-$ conda install -c nusdbsystem -c conda-forge singa-cpu=3.1.0
+$ conda install -c nusdbsystem -c conda-forge singa-cpu=3.2.0.rc1
 ```
 
 2. 使用带CUDA和cuDNN的GPU（需要CUDA驱动>=384.81）
    [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1do_TLJe18IthLOnBOsHCEe-FFPGk1sPJ?usp=sharing)
 
 ```shell
-$ conda install -c nusdbsystem -c conda-forge singa-gpu=3.1.0
+$ conda install -c nusdbsystem -c conda-forge singa-gpu=3.2.0.rc1
 ```
 
 3. 安装特定版本的SINGA，下面的命令列出了所有可用的SINGA软件包：
@@ -33,9 +33,9 @@ $ conda search -c nusdbsystem singa
 
 Loading channels: done
 # Name                       Version           Build  Channel
-singa                      3.1.0.rc2        cpu_py36  nusdbsystem
-singa                      3.1.0.rc2 cudnn7.6.5_cuda10.2_py36  nusdbsystem
-singa                      3.1.0.rc2 cudnn7.6.5_cuda10.2_py37  nusdbsystem
+singa                      3.2.0.rc1        cpu_py36  nusdbsystem
+singa                      3.2.0.rc1 cudnn7.6.5_cuda10.2_nccl2.6.4.1_mpich3.3.2_py36 nusdbsystem
+singa                          3.2.0        cpu_py36  nusdbsystem
 ```
 
 <!--- > Please note that using the nightly built images is not recommended except for SINGA development and testing. Using stable releases is recommended. -->
@@ -62,7 +62,7 @@ $ python -c "from singa import tensor"
 pip install singa -f http://singa.apache.org/docs/next/wheel-cpu.html --trusted-host singa.apache.org
 ```
 
-您可以通过`singa==<version>`安装特定版本的SINGA，其中`<version>`字段应被替换，例如`3.1.0`。可用的SINGA版本在链接中列出。
+您可以通过`singa==<version>`安装特定版本的SINGA，其中`<version>`字段应被替换，例如`3.2.0`。可用的SINGA版本在链接中列出。
 
 要安装最新的开发版本，请将链接替换为
 http://singa.apache.org/docs/next/wheel-cpu-dev.html
@@ -74,7 +74,7 @@ http://singa.apache.org/docs/next/wheel-cpu-dev.html
 pip install singa -f http://singa.apache.org/docs/next/wheel-gpu.html --trusted-host singa.apache.org
 ```
 
-您也可以配置SINGA版本和CUDA版本，比如`singa==3.1.0+cuda10.2`，SINGA版本和CUDA版本的可用组合在链接中列出。
+您也可以配置SINGA版本和CUDA版本，比如`singa==3.2.0+cuda10.2`，SINGA版本和CUDA版本的可用组合在链接中列出。
 
 要安装最新的开发版本，请将链接替换为
 http://singa.apache.org/docs/next/wheel-gpu-dev.html